Next Article in Journal
Native or Overlooked Translocation? Comment on Antognazza et al. Current and Historical Genetic Variability of Native Brown Trout Populations in a Southern Alpine Ecosystem: Implications for Future Management. Fishes 2023, 8, 411
Previous Article in Journal
Distribution Characteristics of Trichiurus japonicus and Their Relationships with Environmental Factors in the East China Sea and South-Central Yellow Sea
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds

by
Ana Silvia Pedrazzani
1,2,*,
Nathieli Cozer
2,3,
Murilo Henrique Quintiliano
4 and
Antonio Ostrensky
1,2,3,5
1
Wai Ora-Aquaculture and Environmental Technology Ltd., Curitiba 80035-050, PR, Brazil
2
Integrated Group for Aquaculture and Environmental Studies (GIA), Department of Animal Science, Federal University of Paraná, Curitiba 80035-050, PR, Brazil
3
Graduate Program in Zoology, Department of Zoology, Federal University of Paraná, Curitiba 80035-050, PR, Brazil
4
FAI Farms, Londrina 86115-000, PR, Brazil
5
Graduate Program in Animal Science, Department of Animal Science, Federal University of Paraná, Curitiba 80035-050, PR, Brazil
*
Author to whom correspondence should be addressed.
Fishes 2024, 9(11), 440; https://doi.org/10.3390/fishes9110440
Submission received: 19 September 2024 / Revised: 18 October 2024 / Accepted: 22 October 2024 / Published: 29 October 2024
(This article belongs to the Section Sustainable Aquaculture)

Abstract

:
The rapid growth of shrimp farming, particularly of Penaeus vannamei, accounts for about 80% of the global production of farmed shrimp and involves the cultivation of approximately 383 to 977 billion individuals annually, which highlights the urgent need to address the ethical and technical implications of raising potentially sentient beings. This study builds on the state-of-the-art assessment of sentience, consciousness, stress, distress, nociception, pain perception, and welfare to adapt the General Welfare Index (GWI) for farmed shrimp. The GWI is a quantitative index developed by our research group to measure the degree of welfare in aquaculture, and it has been previously applied to grass carp and tilapia. Using the PRISMA methodology and the creation of a hypothetical shrimp farm, the GWI, with 31 specific and measurable indicators across various welfare domains, is adapted to P. vannamei, offering a comprehensive assessment framework. The inclusion of quantitative welfare indicators promises to improve living conditions in alignment with legislation adopted on decapods’ sentience and contemporary scientific advances.
Key Contribution: This research significantly contributes to the aquaculture sector by providing a practical and quantifiable tool for welfare assessment, encouraging the industry to adopt more responsible and sustainable practices, and envisioning a future where shrimp welfare is recognized and enhanced.

Graphical Abstract

1. Introduction

The rapid growth in farmed shrimp production and international trade meets the global demand for high-quality protein-rich seafood, consolidating shrimp as the most traded seafood worldwide [1,2,3]. In 2022, the shrimp market reached about USD 68.40 billion, with USD 40.12 billion (approximately 58%) coming from aquaculture, with projections to reach USD 65.04 billion by 2030 [4]. Penaeus vannamei stands out as the leader among cultivated species, representing approximately 80% of the global production, with almost 5 million tonnes [5] of farmed shrimp generating USD 30.9 billion in revenue in 2022 [4,6]. Despite a slight contraction of 0.4% in global production in 2023, aquaculture supplied the market with about 5.6 million tonnes, with optimistic projections for a 4.8% increase in production in 2024 [7].
The average slaughter weight of P. vannamei farmed varies from 10 to 26 g. Based on estimates considering the variation in average slaughter weight from 10 to 20 g, obtaining 5.6 million tonnes of shrimp necessitates cultivating between 280 and 560 billion individuals. When adjusted for survival rates in ponds, which range from 57.3% to 73% [8], the requisite number of individuals increases to between 383 and 977 billion (Figure 1).
The figures do not account for the animals that die during the larval and post-larval stages. The numbers exceed those estimated by Waldhorn and Autric [9], which range between 300 and 620 billion shrimp and highlight the magnitude of shrimp production compared to other species used for human food, significantly surpassing the output of vertebrates such as chickens, with over 70 billion slaughtered in 2021, resulting in a biomass of 157.5 million tonnes [10]. They also indicate that shrimp are numerically among the most farmed organisms for human food worldwide, second only to insects, whose annual production is expected to exceed 1.2 trillion organisms, with a total biomass of 0.6 million tons [11]. However, it should be emphasised that this comparison involves just one species (P. vannamei) with several species of edible insects.
In light of these figures, inevitable questions arise about the scientific advancements concerning the potential sentience of shrimps and how such findings might necessitate substantial reforms in one of the most significant and influential food industries worldwide [9,12]. The acknowledgement of sentience in these crustaceans challenges traditional viewpoints and spurs a profound reflection on the necessity of reassessing our relationship with species cultivated for consumption. This turning point in the debate emphasises the importance of animal welfare in aquaculture, highlighting the urgent need to value and respect non-human life.
In this study, we discuss essential concepts about sentience, consciousness, stress, distress, nociception, pain perception, and the welfare of decapod crustaceans, focusing on farmed shrimp. We adopt a quantitative index, the General Welfare Index (GWI), developed by our research group [13,14]. Based on parameters readily observable in farming contexts, the GWI seeks to incorporate scientific advancements regarding shrimp sentience and health into production routines, encouraging practices that enhance animal welfare, productivity, and sustainability in aquaculture.

1.1. Contextualisation and Foundations

1.1.1. Welfare, Stress, and Distress

Animal welfare science evolved from the Five Freedoms Model [15] to the Five Domains Model developed by Mellor and Reid [16], reflecting an advancement in understanding animal needs. This model has been continually revised [17,18,19,20] and focuses on enhancing animal welfare across five critical aspects—(1) Environment: related to physical space, promoting comfort, adequate stimulation, and challenges; (2) Nutrition: encompassing access to water and food, preventing hunger and thirst (initially considered for terrestrial animals); (3) Health: Preventing and treating diseases and injuries, as well as minimising pain and discomfort; (4) Behaviour: allowing the expression of natural behaviours, minimising restrictions, and avoiding abnormal behaviours; (5) Mental State: considering the animal’s emotional experiences, both negative emotions (fear, frustration) and positive emotions (pleasure, contentment).
According to Mellor, Beausoleil, Littlewood, McLean, McGreevy, Jones, and Wilkins [20], the first three domains focus on the animal’s physical stability and its disturbance’s adverse effects. In contrast, the fourth and fifth domains address conscious interactions and mental states, highlighting the importance of positive and negative emotional experiences. Unlike the Five Freedoms Model—which is based on freedoms from hunger and thirst, discomfort, pain, injury or disease to express normal behaviour and from fear and distress—the Five Domains Model proposes a holistic approach that transcends mere prevention of suffering, valuing the promotion of positive welfare and the harmonisation of physical and mental welfare, thus establishing a more comprehensive foundation for animal care.
Stott [21] defines “stress” as ranging from general responses to environmental challenges to specific stimuli reactions. It involves the disturbance of homeostasis by external factors, requiring adaptations that can be both beneficial and harmful. Moberg [22] and Bayne [23] provide definitions of stress, highlighting it as a biological response to threats disrupting internal equilibrium or measurable physiological changes due to environmental factors. Therefore, yes, shrimps do feel stress.
Morton [24] differentiates “distress” as a state of intense and prolonged mental suffering that negatively affects the animal’s physical and psychological welfare, contrasting with stress, which is an adaptive response. Wuertz et al. [25] note that in crustaceans, distress may compromise health and elevate disease vulnerability, adversely affecting populations.
In 2009, the Farm Animal Welfare Committee introduced a tripartite hierarchy of comprehensive assessments on an animal’s quality of life (QOL) throughout its life, involving a Life Not Worth Living, a Life Worth Living (LWL), and a Good Life [26]. The current trend in research is to define animal welfare as related to life satisfaction, considering the balance between positive and negative experiences [26,27,28,29,30]. A “good life”, indicative of a high degree of welfare, would be characterised by positive experiences. Beings with higher levels of consciousness may have more complex needs that must be addressed to ensure their welfare.
The idea of “a life worth living” introduces subjectivity akin to human perceptions of happiness, highlighting the challenge of applying human standards to animal welfare. This parallel can be problematic in scientific discussions on animal welfare, potentially leading to the so-called “barn logic” [31]. This reasoning defends raising animals for consumption as positive, arguing that it allows animals to exist, even under brief and often adverse circumstances. This perspective promotes the idea that merely existing is better than not existing, neglecting the quality of that existence and the complexities of welfare. Justifying raising animals for consumption as a guarantee of their existence overlooks the degree of animal suffering. It minimises the relevance of lives marked by welfare and freedom, turning sentient beings into products for human consumption. This simplification distorts the essence of the debate on animal welfare.
To navigate this complexity, we adopt the definition of animal welfare by the World Organisation for Animal Health [32]: “Animal welfare means how an animal copes with the conditions in which it lives and dies. An animal is in a good state of welfare if (as indicated by scientific evidence) it is healthy, comfortable, well-nourished, safe, able to express innate behaviour, and not suffering from unpleasant states such as pain, fear, and distress. Animal welfare requires disease prevention, veterinary treatment, appropriate shelter, management, nutrition, humane handling, and humane slaughter/killing”.

1.1.2. Nociception and Pain Perception

Rowe [33], in a very didactic manner, explains that the International Association for the Study of Pain (IASP) characterises pain in humans as “an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage”. The ISPP defines nociceptors as “a high-threshold sensory receptor of the peripheral somatosensory nervous system capable of transducing and encoding noxious stimuli”. According to the author, while the activation of nociceptive pathways alone does not constitute pain, the experience of pain is inherently subjective, varying significantly among human individuals, who may report their pain experiences by comparing them with past experiences. However, the private nature and the impossibility of objective quantification make the absolute proof of pain experience unattainable in animals, given the absence of communication comparable to humans. Other authors agree that animal pain is an aversive sensory and emotional experience associated with injury. Still, pain is crucial in promoting protective behaviours and avoidance learning [34,35].
The consensus on crustaceans’ capacity for pain perception remains elusive, underscoring a complex study area. Comstock [12] posits variability in pain sensitivity among decapods, with Pleocyemata possibly more receptive than Dendrobranchiata, challenging the assumption of uniform nociceptor distribution. Passantino et al. [36] challenge the view that decapods’ responses to noxious stimuli are merely reflexive, pointing to the complexity of these reactions as possible indicators of painful experience. Elwood [37] notes that behaviours suggestive of pain are more prevalent in crustaceans and insects of the clade Mandibulata than in spiders of Chelicerata.
Nociception is the sensory mechanism that allows animals to detect noxious stimuli and avoid tissue damage [38,39]. Nociception can result in sensitisation post-injury and is modulated by TRP channels and brain opioids [40,41]. Research on decapod crustaceans shows nociceptive behaviours controlled by known mechanisms, but primary nociceptors have only been found in Procambarus clarkii [42,43,44]. Given the nascent research stage, our understanding of pain perception and sentience in decapods largely relies on behavioural and physiological studies.

1.1.3. Sentience and Consciousness

In contemporary neuroscience, consciousness is investigated through processing brain information and the emergence of conscious experience [45,46]. Thus, sentience is just one of several components of consciousness, which ranges from sensory perception to more complex cognitive elements, such as reflection on experiences and projection about the past and future [47,48]. Dung and Newen [49] defined conscious experience as the subjective quality of the lived state, highlighting the ability of conscious beings to experience a range of sensations and emotions.
Bridging the gap between the exploration of consciousness in contemporary neuroscience and historical perspectives on animal cognition, we must examine how past beliefs, notably those of Descartes, contrast sharply with modern understandings. “Animals are like robots: they cannot reason or feel pain.” This statement is commonly attributed to Descartes, a 17th-century French philosopher and mathematician renowned for his contributions to rationalism and his theories on the mind and body [50], exemplifies a simplistic and widely disseminated, albeit controversial, view on the nature of animals. Descartes, famously or infamously depending on the perspective, believed that only humans possessed a rational mind, a thinking substance (“res cogitans”), capable of reasoning and sensation, in contrast with “res extensa”, the principle constituting the physical world, including non-rational living beings [51]. He viewed animals as automata or machines devoid of mind and rationality, operating purely through mechanical and physical processes [52]. Despite no evidence that the quoted phrase was uttered or written in that form by Descartes, it encapsulates a form of thought that has long influenced human relations with the animal kingdom. Until the mid-last century, any mention of “feelings” or “suffering” in animals was seen as unscientific, for example, [53]. However, advances in sciences and philosophy began to challenge and reshape this Cartesian and mechanistic view [54]. The shift from this historical paradigm to a contemporary understanding of animal sentience started with the publication of “Animal Machines” [55]. It reflected an advancement in human thought, marked by a growing appreciation of the complexity and richness of non-human life forms.
The concept of “sentience” in non-human animals is a central theme in discussions on ethics, bioethics, and animal welfare (* The term “well-being” is sometimes used interchangeably with “welfare”, but “well-being” can be less precise in its usage and may be interpreted more in a positive sense, whereas the concept of welfare needs to encompass both negative and positive aspects. “Welfare” is the term used in the English versions of European legislation) [56] and has been gaining increasing international recognition [57,58,59]. This recognition drives significant changes in practices affecting various species. The understanding that animals can feel pain, pleasure, and other emotions is the starting point for fostering studies and practices aimed at animal welfare, reformulating production techniques, and promoting a more ethical and responsible relationship with the species that serve as our food [60,61]. Thus, the perception of animal sentience becomes a foundation for adopting more conscious and respectable welfare practices with farmed animals [57,62,63].
Sentience is an animal’s ability to have subjective experiences, also known as “phenomenal consciousness” [57]. An animal is considered sentient if, under the right conditions, there is “something that it is like” to be that animal [64,65]. In a more restricted sense, sentience may refer to the animal’s capacity to have subjective experiences with positive or negative valence—experiences that feel good or bad—such as pain, pleasure, anxiety, distress, boredom, hunger, thirst, warmth, joy, comfort, and excitement [66,67,68,69,70,71,72,73,74]. In this more restricted sense, sentience is sometimes known as “affective sentience” and is very close to an essential meaning of the common word “feeling” [75,76]. Other definitions of sentience include the innate ability of some animals to experience emotions and feelings, with the former being neurobiological adaptive responses and the latter subjective interpretations influenced by individual and social contexts [77,78]. Broom [79] discusses the capacity to possess levels of consciousness and the cognitive ability necessary to have feelings. Sentience also includes the response to sensory stimuli and their perceptions of the animal’s mental state [62,79].
“Consciousness”, unlike sentience, encompasses a broader range of cognitive and metacognitive experiences whose complete understanding remains challenging for science [80,81,82,83]. Consciousness includes self-perception, recognition of the self as a unique entity, and integrated reflection on thoughts, sensations, and perceptions [70,84]. It goes far beyond sensory experience, involving self-awareness, advanced cognitive capabilities, and formulating complex thoughts and intentions [85].

1.1.4. Sentience in Decapod Crustaceans

The analysis of sentience in decapod crustaceans, encompassing interdisciplinary assessments that consider behavioural, physiological, and health aspects, reveals a complex domain lacking consensus. Walters [86] points out gaps in understanding sensations in decapods, particularly in distinguishing affective components like suffering, despite observable pain-related behaviours also noted in cephalopods. Critically, Diggles [87], through an extensive literature review, questions the reliability and interprets existing studies, pointing out the following:
  • The scientific basis is still very controversial
  • Questionable criteria for defining the experience of pain in crustaceans
  • Experimental limitations and misinterpretations of data
  • The use of anthropomorphic criteria leads to false equivalences with the human experience of pain
  • The creation of animal welfare legislation in countries like Switzerland and the UK may reflect ethical considerations and societal pressures more than robust scientific evidence, potentially leading to unwarranted restrictions on research and the food industry
  • The risk of imposing unnecessary restrictions on research and the food industry is based on a few scientific studies.
Diggles et al. [88] emphasise the need for scientific scepticism and critical thinking in assessing sentience and pain in fish and invertebrates, warning about the consequences of legislation based on precarious evidence and the importance of rigorous and evidence-based scientific debate. In contrast, Reber et al. [89], supported by the Cell-Based Theory of Consciousness (CBC), argue that sentience is a universal feature of living beings not restricted to animals with complex nervous systems. Andrews [90] proposes that science should focus on how animals are conscious, promoting advancement in understanding animal consciousness and grounding discussions on ethics and animal welfare. Browning and Veit [91] highlight the challenges in comparing welfare between species, both empirical and moral. At the same time, Comstock [12] underscores the relevance of understanding decapods’ capacity to feel pain, considering the ethical, scientific, and economic implications. Ng [92] advocates recognising animal sentience based on behavioural evidence while critiquing the need for certainty for such recognition. Deckha [93] points to the need for a new ethical perspective in treating animals, especially crustaceans, in the industry.
Decapods and cephalopods, considered among the most intelligent and cognitively developed invertebrates, possess neuroendocrine systems analogous to vertebrates [94,95,96]. Decapods can process sensory information through brain regions, such as the hemiellipsoid body, which is involved in learning and memory [97]. Lobsters (H. americanus) can integrate information from multiple sensory sources and demonstrate learning and memory capabilities after associative training [98]. Hermit crabs (Pagurus bernhardus) make complex shell choices, considering shell quality and associated risks [99]. Crayfish (Procambarus virginalis) learned to avoid a stimulus (blue light) associated with electric shocks [100]. Injured crustaceans exhibit behaviours such as rubbing, limping, or caring for the affected area, suggesting awareness of the injury and attempts to minimise damage [37,101,102,103]. Autotomy, or the shedding of a limb, has been interpreted as a response mediated by an experience similar to pain [104,105,106]. Behavioural changes consistent with an increased state of anxiety after exposure to aversive stimuli have been observed in crayfish, indicating changes in emotional state that were attenuated by anxiolytic drugs, suggesting mechanisms of anxiety similar between crustaceans and humans [107,108,109].
The advanced stress response systems in decapods, evidenced by metabolic and physiological adaptations to stress, support the notion of their sentience and environmental responsiveness [110]. Changes in L-lactate levels in the hemolymph, indicative of a transition from aerobic to anaerobic metabolism in intense stress, point to this capacity for stress response [111,112,113]. Increased urea, glucose, and ammonia levels in the hemolymph under stress conditions reflect metabolic adaptations to face adversities [110]. A decrease in the number of hemocytes in the hemolymph may indicate compromised health and immunity due to stress [114]. Decapod crustaceans can generate robust and possibly adaptive responses to physical stressors [110,115,116].
Rotllant et al. [117] highlight that decapods meet at least 14 of the 17 criteria, and Sneddon, Elwood, Adamo and Leach [101] proposed decapods to be sentient. Crump, Browning, Schnell, Burn and Birch [43] developed a framework based on eight neural and behavioural criteria to assess sentience and applied this methodology to decapods. They found that Brachyura crabs show strong evidence of sentience, meeting five criteria, while Anomura crabs and Astacidea lobsters met three, indicating substantial sentience. However, the proof of penaeid shrimps is weaker, suggesting further studies are needed.

1.1.5. Shrimp Sentience

Sentience, defined as the capacity for valenced experiences, is inferred in shrimps through physiological and behavioural evidence, given the impossibility of directly observing these experiences [118]. However, these conclusions remain provisional. Shrimps display nociceptive behaviours like the tail-flip reflex when threatened [119], indicating a potential for pain perception. Weineck, et al. [120] suggest these behaviours might be reflexive, not definitively indicating central processing associated with subjective experiences. McKay, McAuliffe and Waldhorn [118] observed similar behaviours induced by anaesthetics, casting doubt on their definitive association with pain. Taylor, et al. [121] observed that lidocaine reduced disoriented swimming behaviours in P. vannamei. However, McKay, McAuliffe and Waldhorn [118] argue that anaesthetics could reduce responses to threatening stimuli by lowering overall alertness rather than pain.
Behavioural indicators suggest sentience and are crucial for the early detection of health problems in aquaculture, highlighting their role in welfare assessment [122]. However, further research is required to link these behaviours with specific physiological or morphological markers to understand better sentience [25,123]. Avoidance learning, anxiety, long-term alterations, responses to the site of injury, and autotomy as a defence mechanism are indicative of this behavioural complexity [124]. Increased stocking density leads to notable behavioural changes in juvenile P. vannamei, suggesting stress responses [125]. Applying local anaesthetics and coagulating agents, such as the eye-stalk ablation in P. vannamei, can attenuate the stress response, influencing feeding resumption and recovery of swimming patterns [121]. Although shrimps are less prone to cannibalism than other crustaceans [126], this behaviour can intensify under adverse conditions, such as diseases or individuals with soft shells [127,128]. Harvesting, a critical phase of the production cycle involving physical handling, can trigger escape behaviour and stress, leading to injuries and decreased meat quality [129] and causing increased heart rates [130].
Other studies point to sentience in shrimps based on cognitive behaviours and responses to various stimuli [131]. Albalat et al. [132] contend that the complex environmental interactions and adaptations of shrimps, such as P. vannamei, imply possible sentience. They cite the relationship between gonadal maturation and spawning in response to environmental variables such as temperature and salinity and the complexity of shrimps’ immune system, which includes physical barriers and cellular and humoral responses, as evidence of sentience [133,134,135]. Furthermore, physiological stress responses, such as metabolic changes and immunological dysfunction under prolonged stress, could signal the capacity to experience negative internal states, a component of sentience [118,132]. Freire et al. [136] and Jerez-Cepa and Ruiz-Jarabo [137] show that shrimps manifest complex physiological and behavioural responses to stress, directly affecting their welfare. Such responses, reflecting the principles of homeostasis and allostasis, indicate the capability of these crustaceans to experience complex internal states under stress. Integrative neural centres, such as the medullary terminals and hemiellipsoid bodies, point to an advanced level of cognition and neural processing, suggesting potential sentience [138].
Wuertz, Bierbach, and Bögner [25] highlight that shrimps can experience distress through a complex neuroendocrine response similar to that observed in vertebrates through the crustacean hyperglycemic hormone (CHH). This hormone regulates glucose homeostasis, immune response, and anti-predatory behaviours, indicating significant neuroendocrine complexity [139,140] [141]. Changes in serotonin (5HT) levels signal behavioural and metabolic stress, potentially leading to anxious behaviours [109,142]. It is also known that CHH secretion is vital in the stress response, affecting osmoregulation, energy metabolism, and the response to chronic stressors, negatively impacting survival, growth, and disease resistance in shrimp [25].

1.1.6. Sentience of Decapods and Legislation

According to Robertson and Goldsworthy [73], legislation related to sentience should align with the concept of animal welfare proposed by Mellor [143], which conceives it as the animal’s capacity to have meaningful subjective experiences. Understanding sentience in non-human animals is crucial for providing more ethical and practical care. Incorporating animal sentience into legislation and legal guidelines constitutes a significant milestone in animal protection. It promotes safeguarding their rights and fosters practices prioritising welfare by recognising and validating their capacity to feel and interact [144,145,146]. This valuation of animal sentience is gradually expanding beyond vertebrates to include invertebrates, with notable reflections in national policies and regulations. New Zealand has been a pioneer in protecting various species of crustaceans in its legislation since the end of the last century [147,148], followed by other countries such as Austria [149], Australia [150], United Kingdom [151], Norway [152], and Switzerland [153], where decapod crustaceans are recognised as sentient beings.

1.1.7. The Application of Animal Welfare in Shrimp Farming

Integrating scientific insights and legal standards into shrimp farming presents notable challenges. Certification standards, such as those proposed by the Aquaculture Stewardship Council [154], highlight the importance of animal welfare in shrimp farms. Yet, ultimately, adopting sustainable practices across this industry demands continuous endeavour. There is a contrast between the laws and the daily reality of global aquaculture, as Krause et al. [155] observed, “a chasm between people and policies”. According to a Rabobank report [156], the shrimp farming sector has 16 critical economic, health, operational, and production concerns derived from FAO, GOAL Survey, and Rabobank data. However, the producers do not mention the welfare of farmed shrimp.
Prioritising shrimp’s welfare positively impacts aquaculture’s technical, operational, and financial aspects. Practices that ensure an optimal environment for the species to grow and thrive, balanced nutrition, careful management, and effective disease prevention will lead to better health, greater productivity, and higher meat quality [157,158,159,160,161]. Alignment with the demand for ethical and sustainable products broadens market acceptance, positioning the product in more lucrative niches [162,163]. Moreover, investing in animal welfare minimises operational risks, such as diseases, reducing treatment expenses and production losses [164,165]. Consequently, prioritising shrimp welfare enhances industry sustainability, bolsters economic resilience, and access to higher-value markets [163,166]. So, even if producers have yet to realise it, their main concerns are intrinsically linked to the welfare of farmed shrimp, directly impacting the sector’s viability and success.
Developing and implementing tools like the GWI are pivotal in narrowing the divide between scientific understanding and practical farming methods. The GWI offers a practical, evidence-based approach to assessing and monitoring shrimp welfare, assisting producers in adopting superior practices for improved health, productivity, and meat quality. Moreover, by demonstrating a commitment to animal welfare through the GWI, shrimp farmers can enhance their market competitiveness, access premium niches, and contribute to a more responsible and sustainable aquaculture industry. As the debate on animal sentience and welfare continues to evolve, the integration of the GWI into shrimp farming practices represents a significant step towards a future where the welfare of these animals is recognised, valued, and actively promoted.

2. Materials and Methods

2.1. Systematic Review

A systematic literature review guided by the PRISMA guidelines—Preferred Reporting Items for Systematic Reviews and Meta-Analyse [167]—was conducted to identify quantitative welfare indices developed or adapted for aquatic animals farmed in aquaculture. The comprehensive search, encompassing scientific articles, technical reports, books, book chapters, case studies, dissertations, and theses, was conducted on Google Scholar and Semantic Scholar platforms from February 2023 to January 2024. Document selection was influenced by the inclusion of specific terms related to the quantitative assessment of the welfare of aquatic animals, as detailed in Table 1.
Subsequently, documents were meticulously filtered based on pre-defined criteria, such as:
  • Mandatory presentation of indices or methodologies for estimating the degree of welfare of fish, crustaceans, or molluscs;
  • The article should provide a detailed description of the mathematical logic and calculations employed to assess the welfare of the respective target animals;
  • The proposed method directly applies to animals farmed commercially within aquaculture systems.
Following the removal of duplicates, studies were evaluated and selected based on the relevance of their title, abstract, and subsequently, their whole content, adhering to the structure of the PRISMA framework for identifying methods and strategies for calculating the welfare level of animals farmed in aquaculture, as summarised in Table 2.

2.2. Mathematical Model and Welfare Indicators Used in the GWI

The General Welfare Index (GWI) was initially developed for grass carp, Ctenopharyngodon idella, cultivated in earthen ponds [13]. However, it was designed to apply to animals and aquaculture systems after the necessary adjustments of applicable indicators. It has been adapted here for P. vannamei based on specific indicators and their respective reference levels and weighting factors see [168]. The Partial Welfare Indexes (PWIx) were calculated, according to the formula presented in Equation (1), for four of the five domains proposed by Mellor and Reid [16] (environmental, health, nutritional, and behavioural).
      P W I x = Y / S × Y × 1.4925 0.4925
where we have the following:
      P W I x : Partial Welfare Index, calibrated to consistently range from 0, indicating a critical risk to the welfare of farmed shrimp, to 1, representing optimal welfare conditions or the minimal risk of harm to animal welfare. This scale is maintained irrespective of the number of indicators applied to each aspect of freedom.
X: Domain (Environmental—En; Behavioural—Be; Nutritional—Nu or Health—He).
S: Score (1, 2, or 3, with 1 being the best and 3 the worst) assigned to the indicators in the analysed shrimp farm.
Y: Denotes the weighting factor allocated to a particular indicator.
Each indicator’s assignment of Y values was based on bibliographic analysis via Google Scholar using the following fixed terms: Penaeus AND vannamei AND welfare, plus the “specific keywords” related to each indicator. These Y values, defined as the integer part of the natural logarithm of the number of publications identified in the searches (Equation (2)), act as a weighting factor for the defined welfare indicators for the species.
    Y = I N T   ( l n n )
The GWI is calculated as the arithmetic mean of the PWIx, modulated by a knockout factor (kl), as delineated in Equation (3). This factor is affected by the mortality rate observed during the period under review. Consequently, mortality is the pivotal criterion in the welfare evaluation, according to the GWI. Whenever the mortality rate exceeds 30%, the kl is set to zero (0), denoting a “critical” condition for the GWI. Conversely, if the rate is under 30%, the kl is adjusted to one (1), facilitating the welfare calculation based on the chosen indicators, their scores, and their respective weights (Equation (3)).
G W I = ( ( P W I E n + P W I B e + P W I N u + P W I H e ) × k l ) 4
where we have the following:
GWI: General Welfare Index, which varies from 0 (critical risk of harm to farmed shrimp welfare) to 1 (maximum welfare or, otherwise, minimum risk of injury to animal welfare).
kl: Knockout level (risk of whole impairment of the degree of welfare).
The designated Partial Confidence Levels (CLs) for each PWIx are calculated based on the number of indicators effectively examined in the field, as specified by Equation (4). An increase in the number of evaluated indicators relative to the proposed indicators elevates the confidence level of the findings. The General Confidence Level (GCL) is ascertained by the arithmetic mean of the CLs, as according to Equation (5). The PWIx, GWI, CLs, and GCL are categorized and interpreted based on the values achieved (Equation (4) and Table 3).
C L x = W A n W m a x
where we have the following:
CLX: PWIx confidence level.
WAn: Sum of the weights of the indicators analysed for the freedom x.
Wmax: Sum of the weights of all the defined indicators for the freedom x.
          G C L = ( I R E n + I R B e + I R N u + I R H e ) 4

2.3. Application of the GWI for Diagnosing the Welfare Degree of P. vannamei Cultivated in Ponds

To exemplify the application of the GWI and the assessment of the welfare of shrimp cultivated in ponds, we used a hypothetical scenario proposed by Cozer et al. [169]. This scenario was constructed from a comprehensive literature review on the structural characteristics and typical management of a modal marine shrimp farm in Brazil, representative of the sector’s average (illustrated in Figure 2 and detailed in Table 4).
The parameters and values for water quality necessary for calculating the PWIEn were extracted from the Technical Manual of Good Practices of the Brazilian Association of Shrimp Breeders (ABCC) [170], as presented in Table 5.
Due to the absence of data for the hypothetical farm’s digestive tract filling index indicator (nutritional domain), we resorted to the study by Costa [171]. This author, who analysed stocking density and its impact on the growth and feeding behaviour of P. vannamei, identified a digestive tract filling frequency of 46% for densities up to 50 shrimp/m2, similar to the hypothetical enterprise employed here. The hypothetical scenario also lacked data on swimming and escape behaviours (behavioural domain), as well as information on the health of the shrimp (indicators such as the state of antennae, rostrum, eyes, gills, hepatopancreas, motor appendages, musculature, and exoskeleton). To fill these gaps, we used photographs and videos registered from visits to marine shrimp farms in the Brazilian Northeast in 2022, which share characteristics similar to those of the hypothetical enterprise (up to 10 hectares of water surface—classified as small aquaculture properties by the ABCC [172]. This approach made it possible to determine the scores of the indicators.

3. Results

Table 6 presents the number of citations and the weights assigned to each indicator, estimating their influence on the welfare assessment of P. vannamei. In the Environmental domain, parameters such as pH, temperature, salinity, ammonia, and stocking density were highlighted with the highest weights assigned. In the Health domain, mortality is underlined as the most significant indicator. Regarding Nutrition, the importance of feeding frequency is emphasized, and in Behaviour, the focus is on the animals’ swimming behaviour.
Applying the protocol by Pedrazzani, Cozer, Quintiliano, Tavares, da Silva, and Ostrensky [168] on the hypothetical farm developed by Cozer et al. 61 revealed that shrimp farming in Brazil stands out for the welfare provided to animals in the environmental and nutritional domains, which obtained the best PWIx. On the other hand, the lowest scores were attributed to the Health and Behavioural domains, which were observed as the main critical welfare points (Table 7).
Under the simulated conditions, the average GWI of Brazilian farms reached 0.46 (with 0 being the minimum and 1 the maximum), indicating a low degree of welfare for shrimp produced in Brazil (Figure 3). The GCL reached 0.98, reflecting high confidence in these estimates, given that the average number of indicators effectively analyzed per domain was 96.7% (29 indicators measured out of 30 possible).

4. Discussion

The debate over invertebrate sentience, especially in decapods like P. vannamei, raises ethical concerns in aquaculture and emphasises the need for better welfare management practices. In this context, Wahltinez, et al. [173] contend that while the evidence of sentience is pivotal to ethical discussions, it should not detract from the urgent need to implement practices that promote welfare in shrimp farming. This study echoes such sentiment, underscoring a substantial amount of scientific literature that illustrates the impact of farming practices on the welfare of shrimp, both positively and negatively, and demonstrating that evidence of this is readily available.
Appropriate stocking density is crucial, as overcrowding can limit growth and survival and increase harmful behaviours like cannibalism. This density must be determined based on available resources and interactions between individuals [174,175,176]. The quality of water, as indicated by salinity, temperature, pH, and dissolved oxygen levels, is imperative for sustaining optimal conditions in shrimp cultivation, directly impacting the animals’ behaviour, physiology, and stress response [118,177,178,179,180]. Furthermore, lighting conditions and photoperiods are critical in influencing behaviours such as locomotor activity and feeding patterns, which are crucial for establishing efficient feeding protocols in shrimp farming [181,182].
Optimised feed management, designed around the feeding behaviours of shrimp, has proven to enhance feed efficiency significantly and, thus, the productivity of cultivation [158,183]. On the flip side, food deprivation is associated with weakened cellular immunity in P. vannamei, diminishing their disease resistance [184,185], while an increase in stress is directly linked to a higher susceptibility to illnesses [184,186,187]. Moulting is a pivotal physiological process that significantly impacts the feeding, growth, and reproduction of shrimps, governed by hormonal regulation and influenced by environmental conditions and developmental and physiological states [188,189,190,191,192,193]. Feed management strategies that oscillate between fasting periods and refeeding can sometimes boost productivity but may also compromise animal welfare, adversely affect productivity and exacerbate harmful behaviours like cannibalism [194,195]. Consistent and repetitive personality traits significantly influence the interaction with food and the consumption rates of shrimps [196,197]. Incorporating substrates at the bottom of the ponds and employing artificial structures benefit shrimp behaviour, providing refuges during moulting, reducing aggressive interactions, and increasing the available area for grazing [183,198,199].
These measures are prime examples of how fostering a cultivation environment tailored to the needs of shrimps goes beyond “mere” ethical compliance, reflecting concrete enhancements in animal welfare, shrimp health, and, consequently, the productive efficiency and profitability of the aquaculture operation. Implementing management practices that address these crustaceans’ behavioural, health, and physiological needs improves productivity and reduces stress. These practices include optimised feeding, proper stocking density, supportive structures for moulting, and maintaining ideal environmental conditions. Given the complexity of factors affecting shrimp welfare, applying integrated and holistic management in cultivation systems is pivotal for achieving success and sustainability in aquaculture. Therefore, the adoption and implementation of measures that improve the welfare degree of these entities are imperative not only for enhancing production in terms of quality and quantity but also as an expression of more responsible, sustainable aquaculture in line with ethical standards.
In cultivation farms, shrimps face several welfare threats, including diseases, poor water quality, challenges in nutrition and feeding, and heightened stress, which are especially noticeable during the harvesting and slaughtering phases. These welfare critical points, which vary according to the intensity of farm production [118], highlight the need for accurate welfare measurement to ensure practices are sustainable, ethical, and profitable, even though current methods are often subjective and ineffective [200]. In response to this, the GWI was developed in close alignment with the animal welfare concept proposed by the World Organisation for Animal Health [32], directly incorporating four of the five domains identified by Mellor and Reid [16]. This approach is due to the lack of reliable and practical indicators for assessing the mental domain of animals in the field. The development of the GWI adopted the perspective of Nilsson et al. [201], acknowledging the impossibility of directly asking shrimps about their perceptions and, thus, using welfare indicators to gauge their conditions. These indicators are divided into direct health, physical condition, behaviour indicators, and indirect indicators connected to management, resources, and the environment provided. Direct indicators accurately reflect the shrimps’ welfare, while indirect indicators identify potential risks before they visibly impact the animal. The integrated use of these indicators is vital for a comprehensive welfare assessment in aquaculture, encouraging ethical and sustainable management practices. This approach promotes consistent cultivation conditions and highlights the need for proper management practices.
Utilising the PRISMA methodology, we identified ten distinct methods for assessing the welfare of aquatic animals in cultivation systems. Table 8 contrasts the GWI with these indices, underlining its applicability and effectiveness, as detailed in Supplementary Tables S1–S7. This comparison accentuates the innovative nature of the GWI in evaluating the welfare of P. vannamei in cultivation, signalling a significant leap forward in terms of precision, practicality, and scope of the assessment. To date, the sole index for gauging the welfare of decapod crustaceans was the Animal Welfare Assessment Grid (AWAG), which is an adaptation of an index initially designed for primates [202] and later modified by Narshi et al. [203] for evaluating the welfare of decapods and cephalopods in zoos and aquariums, albeit not explicitly tailored for shrimps.
This study adapts the GWI specifically for P. vannamei, offering a new approach to address the complex needs of commercial shrimp farming. It also sets a distinct milestone when compared to indices traditionally employed for the welfare assessment of other cultivated aquatic species, such as fish and cephalopods. This novel approach, encompassing up to 30 specific indicators for the cultivation of shrimps in earthen ponds that can be directly measured within the aquaculture farm environment without resorting to complex or invasive laboratory techniques, coupled with the meticulous weighting of these indicators, the incorporation of an exclusion factor (kl) based on mortality rates, and the creation of specific indices to evaluate different welfare domains culminating in a general index, represents a significant methodological development. Incorporating the calculation of confidence intervals within the indices enhances the precision and reliability of the assessments, laying a solid foundation for scrutinising the impacts of management practices on shrimp welfare.
This index is versatile and adaptable to various shrimp species and a broad array of cultivation systems, with plans for periodic updates of its indicators to mirror the scientific and technological progress within the sector. This strategy facilitates highly reliable comparative studies, enabling temporal analyses within a single operation and comparisons across different enterprises and cultivation systems. Ultimately, it ensures that the welfare of shrimps remains in step with the latest scientific advances and sustainable practices, reinforcing the significance and effectiveness of the GWI in fostering responsible and ethically committed aquaculture management.

5. Conclusions

This study marks a significant advance in the interface between shrimp aquaculture and animal welfare, introducing the General Welfare Index (GWI) as an innovative tool to monitor and enhance the cultivation conditions of P. vannamei. The development and application of the GWI extend beyond the scientific debate on crustacean sentience, offering a practical, evidence-based methodology that drives tangible improvements in cultivation practices. The implementation of the GWI not only addresses discussions about decapod sensory capacities but also adopts a pragmatic approach, acknowledging that the aquaculture industry bears both an ethical responsibility and an economic interest in adopting practices that optimise the welfare of these organisms.
This study also points to promising avenues for future research, including the continuous refinement of welfare indicators, investigations into the correlations between GWI scores and production outcomes, and the development of automated real-time welfare monitoring technologies. The widespread adoption of the GWI can potentially redefine aquaculture standards, fostering a more holistic and ethically defensible approach.
By aligning cultivation practices with the growing demands for sustainability and ethical responsibility, the GWI objectively assesses animal welfare across different systems and species. This enables aquaculture to become more resilient to global challenges such as climate change and food security. Its potential to drive innovation and optimise productivity places animal welfare at the forefront of aquaculture’s future.
With the adoption of the GWI, the industry can achieve greater competitiveness and market acceptance and more responsible and sustainable practices, ensuring better living conditions for billions of shrimp cultivated annually worldwide.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/fishes9110440/s1. Table S1. Synthesis of the GWI (General Welfare Index) proposed in this study; Table S2. Summary of the AWAG (Animal Welfare Assessment Grid) adapted for measuring the welfare level of Decapods and Cephalopods; Table S3. Summary of the Welfaremeter, used to generate continuous and automated data on the welfare level of salmon in cages; Table S4. Summary of SWIM 1.0 (Salmon Welfare Index Model 1.0), developed for monitoring the welfare level of salmon in cages; Table S5. Summary of SWIM 2.0 (Salmon Welfare Index Model 2.0), developed for monitoring the welfare level of salmon in cages; Table S6. Synthesis of FishEthoScores, developed for monitoring the welfare level of fish in aquaculture enterprises; Table S7. Synthesis of the fWEI (Fish Welfare Evaluation Index), developed for monitoring the welfare level of rainbow trout in flow-through systems; Table S8. The synthesis of MyFishCheck developed to monitor the level of fish welfare in aquaculture; Table S9. Synthesis of the proposed index for assessing the welfare of tilapias in semi-intensive and intensive farming systems in Thailand; Table S10. Synthesis of FISWELL developed to monitor the level of salmon and trout welfare in different aquaculture systems; Figure S1. There are few animals on the pond surface, in this case, near the water inlet of the pond; Figure S2. A breeding pond where the animals display escape behaviour, jumping during harvesting; Figure S3. Shrimp being slaughtered directly in ice water; Figure S4. A healthy shrimp (left) and another with shortened antennae and atrophied hepatopancreas (right). Figure S5. Standard eye and deformed rostrum; Figure S6. Shrimps with dark gills and shrimps with gills of healthy appearance; Figure S7. A shrimp displaying erosions in pleopods, erosions and redness in the uropods, lesions and focal darkening on the exoskeleton (above), another healthy one (in the middle), and a shrimp displaying muscular necrosis (below). Reference [212] is cited in the Supplementary Materials.

Author Contributions

Conceptualisation, A.S.P. and A.O.; methodology, A.S.P., N.C. and A.O.; validation, A.S.P. and N.C.; formal analysis, A.O.; investigation, N.C.; resources, A.S.P. and N.C.; data curation, A.O.; writing—original draft preparation, A.S.P., N.C. and A.O.; writing—review and editing, M.H.Q.; visualisation, A.S.P.; supervision, M.H.Q. and A.O.; project administration, M.H.Q.; funding acquisition, M.H.Q. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by FAI Farms Limited.

Institutional Review Board Statement

No animal collection or experimentation was conducted during the course of the work. The research was based solely on observational data gathered from aquaculture practices, without any direct interaction or manipulation of the animals.

Data Availability Statement

The datasets generated and/or analysed during the ongoing study are available from the corresponding author upon reasonable request.

Acknowledgments

We thank all the CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) for awarding a productivity and research grant to Antonio Ostrensky (Process 304451/2021-5).

Conflicts of Interest

The authors declare that this study received funding from FAI Farms Limited., and author Murilo Henrique Quintiliano was employed by this company. The funder had the following involvement with the study: supervision, funding acquisition, review of editing and did not interfere in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Saraswathy, R.; Muralidhar, M.; Thiagarajan, R.; Panigrahi, A.; Suvana, S.; Kumararaja, P.; Katneni, V.K.; Nagavel, A. Effect of lined and earthen farming practices on pond health in white leg shrimp, Penaeus vannamei culture. Aquacult. Res. 2022, 53, 5606–5617. [Google Scholar] [CrossRef]
  2. Villarreal, H. Shrimp farming advances, challenges, and opportunities. J. World Aquacult. Soc. 2023, 54, 1092–1095. [Google Scholar] [CrossRef]
  3. Kim, D.E.; Lim, S.S. Market Power Analysis on Shrimp Import from Tropical Asia: The Korean Case. In Proceedings of the Sustainability, Economics, Innovation, Globalisation and Organisational Psychology Conference, Singapore, 1–3 March 2023; pp. 203–214. [Google Scholar]
  4. GVR. Shrimp Market Size, Share & Trends Analysis Report by Species (L. Vannamei, P. Chinensis), by Source (Wild, Aquaculture), by Form, by Distribution Channel, by Region, And Segment Forecasts, 2023–2030; Grand View Research (GVR): San Francisco, CA, USA, 2023; p. 164. [Google Scholar]
  5. Globefish. FAO. 2023. GLOBEFISH Highlights—International Markets for Fisheries and Aquaculture Products–Second Issue 2023, with January–December 2022 Statistics. GLOBEFISH Highlights, 2023, 2. Rome. Available online: https://openknowledge.fao.org/items/b92f2b03-0e0a-48ff-9619-ec6e0cc34759 (accessed on 4 April 2023).
  6. Knibb, W.; Giang, C.T.; Premachandra, H.K.A.; Ninh, N.H.; Domínguez, B.C. Feasible options to restore genetic variation in hatchery stocks of the globally important farmed shrimp species, Litopenaeus vannamei. Aquaculture 2020, 518, 734823. [Google Scholar] [CrossRef]
  7. Jory, D. Annual Farmed Shrimp Production Survey: A Slight Decrease in Production Reduction in 2023 with Hopes for Renewed Growth in 2024. Available online: https://encurtador.com.br/azT04 (accessed on 29 January 2024).
  8. Boyd, C.E.; Davis, R.P.; McNevin, A.A. Comparison of resource use for farmed shrimp in Ecuador, India, Indonesia, Thailand, and Vietnam. Aquac. Fish Fish. 2021, 1, 3–15. [Google Scholar] [CrossRef]
  9. Waldhorn, D.R.; Autric, E. Shrimp: The animals most commonly used and killed for food production. Rethink. Priorities 2023, 37. [Google Scholar] [CrossRef]
  10. CFET. Poultry Industry Statistics (2023): Meat & Egg Production. Available online: https://encurtador.com.br/wCHLM (accessed on 29 January 2024).
  11. Rowe, A. Insects Farmed for Food and Feed—Global Scale, Practices, and Policy. Available online: https://osf.io/nh6k3/download (accessed on 1 February 2024).
  12. Comstock, G. Pain in Pleocyemata, but not in Dendrobranchiata? Anim. Sentience 2022, 7, 13. [Google Scholar] [CrossRef]
  13. Pedrazzani, A.S.; Tavares, C.P.d.S.; Quintiliano, M.; Cozer, N.; Ostrensky, A. New indices for the diagnosis of fish welfare and their application to the grass carp (Ctenopharyngodon idella) reared in earthen ponds. Aquacult. Res. 2022, 53, 5825–5845. [Google Scholar] [CrossRef]
  14. Pedrazzani, A.S.; Cozer, N.; Quintiliano, M.H.; dos Santos Tavares, C.P.; Biernaski, V.; Ostrensky, A. From egg to slaughter: Monitoring the welfare of Nile tilapia, Oreochromis niloticus, throughout their entire life cycle in aquaculture. Front. Vet. Sci. 2023, 10, 1268396. [Google Scholar] [CrossRef]
  15. Farm Animal Welfare Council (FAWC). Five Freedoms First Written Report. 5 December 1979. First Report on the Five Freedoms. UK Government. Available online: https://www.gov.uk/government/groups/farm-animal-welfare-committee-fawc (accessed on 13 March 2023).
  16. Mellor, D.J.; Reid, C. Concepts of animal well-being and predicting the impact of procedures on experimental animals. Anim. Welf. 1994, 3–18. [Google Scholar]
  17. Mellor, D.; Stafford, K. Integrating practical, regulatory and ethical strategies for enhancing farm animal welfare. Aust. Vet. J. 2001, 79, 762–768. [Google Scholar] [CrossRef]
  18. Mellor, D.; Patterson-Kane, E.; Stafford, K. Animal welfare, grading compromise and mitigating suffering. Sci. Anim. Welf. 2009, 72–94. [Google Scholar]
  19. Mellor, D.J. Operational details of the five domains model and its key applications to the assessment and management of animal welfare. Animals 2017, 7, 60. [Google Scholar] [CrossRef] [PubMed]
  20. Mellor, D.J.; Beausoleil, N.J.; Littlewood, K.E.; McLean, A.N.; McGreevy, P.D.; Jones, B.; Wilkins, C. The 2020 five domains model: Including human–animal interactions in assessments of animal welfare. Animals 2020, 10, 1870. [Google Scholar] [CrossRef] [PubMed]
  21. Stott, G. What is animal stress and how is it measured? J. Anim. Sci. 1981, 52, 150–153. [Google Scholar] [CrossRef] [PubMed]
  22. Moberg, G. When Stress Becomes Distress; CABI Publishing: Wallingford, UK, 2000; pp. 11–12. [Google Scholar]
  23. Bayne, B.L. Aspects of physiological condition in Mytilus edulis L. with respect of the effects of oxygen tension and salinity. Proc. Ninth Eur. Mar. Biol. 1975, 213–238. [Google Scholar]
  24. Morton, D.B. Distress in Animals: Its Recognition and a Hypothesis for Its Assessment; WellBeing International: Potomac, MD, USA, 2009; Volume 14, p. 10. [Google Scholar]
  25. Wuertz, S.; Bierbach, D.; Bögner, M. Welfare of Decapod Crustaceans with Special Emphasis on Stress Physiology. Aquacult. Res. 2023, 2023, 1307684. [Google Scholar] [CrossRef]
  26. FAWC. Farm Animal Welfare in Great Britain: Past, Present and Future. Available online: https://encurtador.com.br/ekS08 (accessed on 30 January 2024).
  27. Green, T.; Mellor, D.J. Extending ideas about animal welfare assessment to include ‘quality of life’ and related concepts. N. Z. Vet. J. 2011, 59, 263–271. [Google Scholar] [CrossRef]
  28. Boissy, A.; Manteuffel, G.; Jensen, M.B.; Moe, R.O.; Spruijt, B.; Keeling, L.J.; Winckler, C.; Forkman, B.; Dimitrov, I.; Langbein, J. Assessment of positive emotions in animals to improve their welfare. Physiol. Behav. 2007, 92, 375–397. [Google Scholar] [CrossRef]
  29. Stokes, J.E.; Mullan, S.; Takahashi, T.; Monte, F.; Main, D.C. Economic and welfare impacts of providing good life opportunities to farm animals. Animals 2020, 10, 610. [Google Scholar] [CrossRef]
  30. Diener, E.; Sandvik, E.; Pavot, W. Happiness is the frequency, not the intensity, of positive versus negative affect. In Assessing Well-Being: The Collected Works of Ed Diener; Springer: Berlin/Heidelberg, Germany, 2009; pp. 213–231. [Google Scholar]
  31. Espinosa, R.; Treich, N. The Animal-Welfare Levy; Elsevier: Amsterdam, The Netherlands, 2024. [Google Scholar]
  32. WOAH. Terrestrial Animal Health Code; World Organisation for Animal Health (WOAH): Paris, France, 2016; Volume 2. [Google Scholar]
  33. Rowe, A. Should scientific research involving decapod crustaceans require ethical review? J. Agric. Environ. Ethics 2018, 31, 625–634. [Google Scholar] [CrossRef]
  34. Zimmerman, M. Physiological mechanisms of pain and its treatment. Klin. Anaesthesiol. Intensiv. 1986, 32, 1–19. [Google Scholar]
  35. Hu, L.; Iannetti, G. Neural indicators of perceptual variability of pain across species. Proc. Natl. Acad. Sci. USA 2019, 116, 1782–1791. [Google Scholar] [CrossRef] [PubMed]
  36. Passantino, A.; Elwood, R.W.; Coluccio, P. Why protect decapod crustaceans used as models in biomedical research and in ecotoxicology? Ethical and legislative considerations. Animals 2021, 11, 73. [Google Scholar] [CrossRef] [PubMed]
  37. Elwood, R.W. Behavioural Indicators of Pain and Suffering in Arthropods and Might Pain Bite Back? Animals 2023, 13, 2602. [Google Scholar] [CrossRef]
  38. Nijs, J.; De Baets, L.; Hodges, P. Phenotyping nociceptive, neuropathic, and nociplastic pain: Who, how, & why? Braz. J. Phys. Ther. 2023, 27, 100537. [Google Scholar]
  39. McKune, C.M.; Murrell, J.C.; Nolan, A.M.; White, K.L.; Wright, B.D. Nociception and pain. In Veterinary Anesthesia and Analgesia: The Fifth Edition of Lumb and Jones; Wiley: Hoboken, NJ, USA, 2015; pp. 584–623. [Google Scholar]
  40. Pace, M.C.; Passavanti, M.B.; De Nardis, L.; Bosco, F.; Sansone, P.; Pota, V.; Barbarisi, M.; Palagiano, A.; Iannotti, F.A.; Panza, E. Nociceptor plasticity: A closer look. J. Cell. Physiol. 2018, 233, 2824–2838. [Google Scholar] [CrossRef]
  41. Julius, D. TRP channels and pain. Annu. Rev. Cell. Dev. Biol. 2013, 29, 355–384. [Google Scholar] [CrossRef] [PubMed]
  42. Himmel, N.J.; Cox, D.N. Transient receptor potential channels: Current perspectives on evolution, structure, function and nomenclature. Proc. R. Soc. B 2020, 287, 20201309. [Google Scholar] [CrossRef] [PubMed]
  43. Crump, A.; Browning, H.; Schnell, A.; Burn, C.; Birch, J. Sentience in decapod crustaceans: A general framework and review of the evidence. Anim. Sentience 2022, 7, 1. [Google Scholar] [CrossRef]
  44. Puri, S.; Faulkes, Z. Can crayfish take the heat? Procambarus clarkii show nociceptive behaviour to high temperature stimuli, but not low temperature or chemical stimuli. Biol. Open 2015, 4, 441–448. [Google Scholar] [CrossRef]
  45. Seth, A.K.; Bayne, T. Theories of consciousness. Nat. Rev. Neurosci. 2022, 23, 439–452. [Google Scholar] [CrossRef] [PubMed]
  46. LeDoux, J.E. How does the non-conscious become conscious? Curr. Biol. 2020, 30, R196–R199. [Google Scholar] [CrossRef] [PubMed]
  47. Thomas, N.; Thomas, N. Self-Awareness and Selfhood in Animals. In Animal Ethics and the Autonomous Animal Self; Springer: Berlin/Heidelberg, Germany, 2016; pp. 37–67. [Google Scholar]
  48. Fabbro, F.; Aglioti, S.M.; Bergamasco, M.; Clarici, A.; Panksepp, J. Evolutionary aspects of self- and world consciousness in vertebrates. Front. Hum. Neurosci. 2015, 9, 157. [Google Scholar] [CrossRef] [PubMed]
  49. Dung, L.; Newen, A. Profiles of animal consciousness: A species-sensitive, two-tier account to quality and distribution. Cognition 2023, 235, 105409. [Google Scholar] [CrossRef]
  50. Correll, J. Descartes’ Dualism and Its Influence on Our Medical System. SUURJ Seattle Univ. Undergrad. Res. J. 2022, 6, 11. [Google Scholar]
  51. Kraus, P.A. Mens Humana: Res Cogitans and the Doctrine of Faculties in Descartes’ Meditationes. Int. Stud. Philos. 1986, 18, 1–18. [Google Scholar] [CrossRef]
  52. Brentari, C. How to Think About Human-Animal Differences in Thinking: Two Cases of Marginal Analogy in the Philosophical Explication of Animal Cognition. In Thinking: Bioengineering of Science and Art; Springer: Berlin/Heidelberg, Germany, 2022; pp. 73–93. [Google Scholar]
  53. Lashley, K.S. Persistent problems in the evolution of mind. Q. Rev. Biol. 1949, 24, 28–42. [Google Scholar] [CrossRef]
  54. Baranzke, H.; Ingensiep, H. Sentientism–for whose sake? Ethics, sciences, and crypto-teleological fact-value bridges, illustrated by the research about sentience in invertebrates. Animal 2023, 17, 100875. [Google Scholar] [CrossRef]
  55. Harrison, R. Animal Machines; Stuart (Vincent) & J.M.Watkins Ltd.: London, UK, 1964; p. 186. [Google Scholar]
  56. Broom, D.M. Animal welfare concepts. In Routledge Handbook of Animal Welfare, 1st ed.; Routledge: London, UK; New York, NY, USA, 2022. [Google Scholar]
  57. Browning, H.; Birch, J. Animal sentience. Philos. Compass 2022, 17, e12822. [Google Scholar] [CrossRef]
  58. Epstein, Y.; Bernet Kempers, E. Animals and Nature as Rights Holders in the European Union. Mod. Law Rev. 2023, 86, 1336–1357. [Google Scholar] [CrossRef]
  59. Peters, A. Rights of Nature Include Rights of Domesticated Animals. In Der Schutz des Individuums Durch das Recht: Festschrift für Rainer Hofmann zum 70. Geburtstag; Springer: Berlin/Heidelberg, Germany, 2023; pp. 15–30. [Google Scholar]
  60. Wilkie, R. Animals as sentient commodities. In The Oxford Handbook of Animal Studies; Oxford University Press: Oxford, UK, 2017; pp. 279–301. [Google Scholar]
  61. Cox, J.; Bridgers, J. Why Is Animal Welfare Important for Sustainable Consumption and Production? UN Environment: Nairobi, Kenya, 2019. [Google Scholar]
  62. Orth, D.J. Pain, Sentience, and Animal Welfare. In Fish, Fishing, and Conservation; Virginia Tech Publishing: Blacksburg, VA, USA, 2023. [Google Scholar]
  63. Fragoso, A.A.H.; Capilé, K.; Taconeli, C.A.; de Almeida, G.C.; de Freitas, P.P.; Molento, C.F.M. Animal Welfare Science: Why and for Whom? Animals 2023, 13, 1833. [Google Scholar] [CrossRef] [PubMed]
  64. Block, N.J. On a confusion about the function of consciousness. Behav. Brain Sci. 1995, 18, 227–247. [Google Scholar] [CrossRef]
  65. Nagel, T. What is it like to be a bat? Philos. Rev. 1974, 83, 435–450. [Google Scholar] [CrossRef]
  66. DeGrazia, D. Taking Animals Seriously: Mental Life and Moral Status; Cambridge University Press: Washington, DC, USA, 1996; p. 316. [Google Scholar]
  67. Jones, R.C. Science, sentience, and animal welfare. Biol. Philos. 2013, 28, 1–30. [Google Scholar] [CrossRef]
  68. Proctor, H.S.; Carder, G.; Cornish, A.R. Searching for animal sentience: A systematic review of the scientific literature. Animals 2013, 3, 882–906. [Google Scholar] [CrossRef]
  69. Broom, D.M. Animal welfare and legislation. Food Saf. Assur. Vet. Public Health 2009, 5, 339–350. [Google Scholar]
  70. Birch, J.; Broom, D.M.; Browning, H.; Crump, A.; Ginsburg, S.; Halina, M.; Harrison, D.; Jablonka, E.; Lee, A.Y.; Kammerer, F. How should we study animal consciousness scientifically? J. Conscious. Stud. 2022, 29, 8–28. [Google Scholar] [CrossRef]
  71. Birch, J. Should animal welfare be defined in terms of consciousness? Philos. Sci. 2022, 89, 1114–1123. [Google Scholar] [CrossRef]
  72. Eliasen, K.; Patursson, E.J.; McAdam, B.J.; Pino, E.; Morro, B.; Betancor, M.; Baily, J.; Rey, S. Liver colour scoring index, carotenoids and lipid content assessment as a proxy for lumpfish (Cyclopterus lumpus L.) health and welfare condition. Sci. Rep. 2020, 10, 8927. [Google Scholar] [CrossRef]
  73. Robertson, I.; Goldsworthy, D. Recognising and defining animal sentience in legislation: A framework for importing positive animal welfare through the five domains model. Monash Univ. Law Rev. 2022, 48, 244–271. [Google Scholar]
  74. Budaev, S.; Kristiansen, T.S.; Giske, J.; Eliassen, S. Computational animal welfare: Towards cognitive architecture models of animal sentience, emotion and wellbeing. R. Soc. Open Sci. 2020, 7, 201886. [Google Scholar] [CrossRef] [PubMed]
  75. Powell, R.; Mikhalevich, I. Affective sentience and moral protection. Anim. Sentience 2020, 29, 1–20. [Google Scholar] [CrossRef]
  76. Shriver, A. The Unpleasantness of Pain for Humans and Other Animals. In Philosophy of Pain; Bain, D., Brady, M., Corns, J., Eds.; Routledge: London, UK, 2018; pp. 147–162. [Google Scholar]
  77. Tague, I.H. The history of emotional attachment to animals. In The Routledge Companion to Animal-Human History; Routledge: London, UK, 2018; pp. 345–366. [Google Scholar]
  78. Birch, J.; Read, E. Animal sentience and the capabilities approach to justice. Biol. Philos. 2023, 38, 26. [Google Scholar]
  79. Broom, D.M. Concepts and Interrelationships of Awareness, Consciousness, Sentience, and Welfare. J. Conscious. Stud. 2022, 29, 129–149. [Google Scholar] [CrossRef]
  80. Schönfeld, M. Animal consciousness: Paradigm change in the life sciences. Perspect. Sci. 2006, 14, 354–381. [Google Scholar] [CrossRef]
  81. Provencio, J.J.; Hemphill, J.C.; Claassen, J.; Edlow, B.L.; Helbok, R.; Vespa, P.M.; Diringer, M.N.; Polizzotto, L.; Shutter, L.; Suarez, J.I. The curing coma campaign: Framing initial scientific challenges—Proceedings of the first curing coma campaign scientific advisory council meeting. In Proceedings of the Neurocritical Care, Online, 22–25 September 2020; pp. 1–12. [Google Scholar]
  82. Andreotta, A.J. The hard problem of AI rights. AI Soc. 2021, 36, 19–32. [Google Scholar] [CrossRef]
  83. Dawkins, M. Animal welfare and the paradox of animal consciousness. In Advances in the Study of Behavior; Elsevier: Amsterdam, The Netherlands, 2015; Volume 47, pp. 5–38. [Google Scholar]
  84. Veit, W. A Philosophy for the Science of Animal Consciousness; Taylor & Francis: Abingdon, UK, 2023. [Google Scholar]
  85. Qureshi, Q.A. Bridging Philosophy and Neuroscience: How Behavioral Experiments Inform a Recent Theory of Animal Consciousness. 2023. Cognitive Science Senior Theses. 2. Available online: https://digitalcommons.dartmouth.edu/cognitive-science_senior_theses/2 (accessed on 4 July 2023).
  86. Walters, E.T. Strong inferences about pain in invertebrates require stronger evidence. Anim. Sentience 2022, 7, 14. [Google Scholar] [CrossRef]
  87. Diggles, B.K. Review of some scientific issues related to crustacean welfare. ICES J. Mar. Sci. 2019, 76, 66–81. [Google Scholar] [CrossRef]
  88. Diggles, B.K.; Arlinghaus, R.; Browman, H.I.; Cooke, S.J.; Cooper, R.L.; Cowx, I.G.; Derby, C.D.; Derbyshire, S.W.; Hart, P.J.; Jones, B. Reasons to be skeptical about sentience and pain in fishes and aquatic invertebrates. Rev. Fish. Sci. Aquac. 2024, 32, 127–150. [Google Scholar] [CrossRef]
  89. Reber, A.S.; Baluska, F.; Miller Jr, W.B. Of course crustaceans are sentient: But there’s more to the story. Anim. Sentience 2022, 7, 3. [Google Scholar] [CrossRef]
  90. Andrews, K. All animals are conscious: Shifting the null hypothesis in consciousness science. Mind Lang. 2024, 39, 415–433. [Google Scholar] [CrossRef]
  91. Browning, H.; Veit, W. Studying animal feelings: Integrating sentience research and welfare science. J. Conscious. Stud. 2023, 30, 196–222. [Google Scholar] [CrossRef]
  92. Ng, Y.K. No need for certainty in animal sentience. Anim. Sentience 2022, 7, 6. [Google Scholar] [CrossRef]
  93. Deckha, M. Animals as Legal Beings: Contesting Anthropocentric Legal Orders; University of Toronto Press: Toronto, ON, Canada, 2021. [Google Scholar]
  94. Fieber, L.A. Neurotransmitters and neuropeptides of invertebrates. In The Oxford Handbook of Invertebrate Neurobiology; Oxford University Press: Oxford, UK, 2017. [Google Scholar]
  95. Greenberg, M.; Price, D. Invertebrate neuropeptides: Native and naturalized. Annu. Rev. Physiol. 1983, 45, 271–288. [Google Scholar] [CrossRef]
  96. Tong, R.; Pan, L.; Zhang, X.; Li, Y. Neuroendocrine-immune regulation mechanism in crustaceans: A review. Rev. Aquac. 2022, 14, 378–398. [Google Scholar] [CrossRef]
  97. Strausfeld, N.J.; Wolff, G.H.; Sayre, M.E. Mushroom body evolution demonstrates homology and divergence across Pancrustacea. Elife 2020, 9, e52411. [Google Scholar] [CrossRef]
  98. Tomina, Y.; Takahata, M. A behavioral analysis of force-controlled operant tasks in American lobster. Physiol. Behav. 2010, 101, 108–116. [Google Scholar] [CrossRef]
  99. Elwood, R.W.; McClean, A.; Webb, L. The development of shell preferences by the hermit crab Pagurus bernhardus. Anim. Behav. 1979, 27, 940–946. [Google Scholar] [CrossRef]
  100. Okada, S.; Hirano, N.; Abe, T.; Nagayama, T. Aversive operant conditioning alters the phototactic orientation of the marbled crayfish. J. Exp. Biol. 2021, 224, jeb242180. [Google Scholar] [CrossRef]
  101. Sneddon, L.U.; Elwood, R.W.; Adamo, S.A.; Leach, M.C. Defining and assessing animal pain. Anim. Behav. 2014, 97, 201–212. [Google Scholar] [CrossRef]
  102. Elwood, R.W. Assessing the potential for pain in crustaceans and other invertebrates. Welf. Invertebr. Anim. 2019, 18, 147–177. [Google Scholar]
  103. Dyuizen, I.V.; Kotsyuba, E.P.; Lamash, N.E. Changes in the nitric oxide system in the shore crab Hemigrapsus sanguineus (Crustacea, Decapoda) CNS induced by a nociceptive stimulus. J. Exp. Biol. 2012, 215, 2668–2676. [Google Scholar] [CrossRef] [PubMed]
  104. Elwood, R.W.; Barr, S.; Patterson, L. Pain and stress in crustaceans? Appl. Anim. Behav. Sci. 2009, 118, 128–136. [Google Scholar] [CrossRef]
  105. Pushpalatha, E.; Ramesh, P.; Sudhakar, S. Response to autotomy in anesthetized freshwater crab, Paratelphusa hydrodromous (Herbst). J. Adv. Lab. Res. Biol. 2014, 5, 27–28. [Google Scholar]
  106. McCambridge, C.; Dick, J.T.; Elwood, R.W. Effects of autotomy compared to manual declawing on contests between males for females in the edible crab cancer pagurus: Implications for fishery practice and animal welfare. J. Shellfish Res. 2016, 35, 1037–1044. [Google Scholar] [CrossRef]
  107. Fossat, P.; Bacqué-Cazenave, J.; De Deurwaerdère, P.; Delbecque, J.-P.; Cattaert, D. Anxiety-like behavior in crayfish is controlled by serotonin. Science 2014, 344, 1293–1297. [Google Scholar] [CrossRef]
  108. Maza, F.J.; Urbano, F.J.; Delorenzi, A. Aversive memory conditioning induces fluoxetine-dependent anxiety-like states in the crab Neohelice granulata. J. Exp. Biol. 2023, 226, jeb245590. [Google Scholar] [CrossRef]
  109. Fossat, P.; Bacqué-Cazenave, J.; De Deurwaerdère, P.; Cattaert, D.; Delbecque, J.-P. Serotonin, but not dopamine, controls the stress response and anxiety-like behavior in the crayfish Procambarus clarkii. J. Exp. Biol. 2015, 218, 2745–2752. [Google Scholar] [CrossRef]
  110. Conneely, E.A.; Coates, C.J. Meta-analytic assessment of physiological markers for decapod crustacean welfare. Fish Fish. 2024, 25, 134–150. [Google Scholar] [CrossRef]
  111. Albalat, A.; Gornik, S.G.; Atkinson, R.J.; Coombs, G.H.; Neil, D.M. Effect of capture method on the physiology and nucleotide breakdown products in the Norway lobster (Nephrops norvegicus). Mar. Biol. Res. 2009, 5, 441–450. [Google Scholar] [CrossRef]
  112. Xu, D.; Wu, J.; Sun, L.; Qin, X.; Fan, X.; Zheng, X. Energy metabolism response of Litopenaeus vannamei to combined stress of acute cold exposure and waterless duration: Implications for physiological regulation and waterless live transport. J. Therm. Biol. 2022, 104, 103149. [Google Scholar] [CrossRef]
  113. Jimenez, A.G.; Kinsey, S.T. Energetics and metabolic regulation. Nat. Hist. Crustac. 2015, 4, 391–419. [Google Scholar]
  114. Stoner, A.W. Assessing stress and predicting mortality in economically significant crustaceans. Rev. Fish. Sci. 2012, 20, 111–135. [Google Scholar] [CrossRef]
  115. Madeira, C.; Leal, M.C.; Diniz, M.S.; Cabral, H.N.; Vinagre, C. Thermal stress and energy metabolism in two circumtropical decapod crustaceans: Responses to acute temperature events. Mar. Environ. Res. 2018, 141, 148–158. [Google Scholar] [CrossRef] [PubMed]
  116. Stein, W.; Harzsch, S. The Neurobiology of Ocean Change–insights from decapod crustaceans. Zoology 2021, 144, 125887. [Google Scholar] [CrossRef]
  117. Rotllant, G.; Llonch, P.; García del Arco, J.A.; Chic, Ò.; Flecknell, P.; Sneddon, L.U. Methods to induce analgesia and anesthesia in crustaceans: A supportive decision tool. Biology 2023, 12, 387. [Google Scholar] [CrossRef]
  118. McKay, H.; McAuliffe, W.; Waldhorn, D.R. Welfare Considerations for Farmed Shrimp; Rethink Priorities: San Francisco, CA, USA, 2023. [Google Scholar]
  119. Arnott, S.A.; Neil, D.M.; Ansell, A.D. Tail-flip mechanism and size-dependent kinematics of escape swimming in the brown shrimp Crangon crangon. J. Exp. Biol. 1998, 201, 1771–1784. [Google Scholar] [CrossRef]
  120. Weineck, K.; Ray, A.J.; Fleckenstein, L.J.; Medley, M.; Dzubuk, N.; Piana, E.; Cooper, R.L. Physiological changes as a measure of crustacean welfare under different standardized stunning techniques: Cooling and electroshock. Animals 2018, 8, 158. [Google Scholar] [CrossRef] [PubMed]
  121. Taylor, J.; Vinatea, L.; Ozorio, R.; Schuweitzer, R.; Andreatta, E. Minimizing the effects of stress during eyestalk ablation of Litopenaeus vannamei females with topical anesthetic and a coagulating agent. Aquaculture 2004, 233, 173–179. [Google Scholar] [CrossRef]
  122. Li, D.; Liu, C.; Song, Z.; Wang, G. Automatic monitoring of relevant behaviors for crustacean production in aquaculture: A review. Animals 2021, 11, 2709. [Google Scholar] [CrossRef]
  123. Prunier, A.; Mounier, L.; Le Neindre, P.; Leterrier, C.; Mormède, P.; Paulmier, V.; Prunet, P.; Terlouw, C.; Guatteo, R. Identifying and monitoring pain in farm animals: A review. Animal 2013, 7, 998–1010. [Google Scholar] [CrossRef]
  124. Birch, J.; Burn, C.; Schnell, A.; Browning, H.; Crump, A. Review of the Evidence of Sentience in Cephalopod Molluscs and Decapod Crustaceans; LSE Consulting; LSE Enterprise Ltd.; The London School of Economics and Political Science: London, UK, 2021; p. 107. [Google Scholar]
  125. da Costa, F.P.; Gomes, B.S.F.d.F.; Pereira, S.D.d.N.A.; de Fátima Arruda, M. Influence of stocking density on the behaviour of juvenile Litopenaeus vannamei (Boone, 1931). Aquacult. Res. 2016, 47, 912–924. [Google Scholar] [CrossRef]
  126. Romano, N.; Zeng, C. Cannibalism of decapod crustaceans and implications for their aquaculture: A review of its prevalence, influencing factors, and mitigating methods. Rev. Fish. Sci. Aquac. 2017, 25, 42–69. [Google Scholar] [CrossRef]
  127. Wei, L.; Zhang, X.; Huang, G.; Li, J. Effects of limited dissolved oxygen supply on the growth and energy allocation of juvenile Chinese shrimp, Fenneropenaeus chinensis. J. World Aquacult. Soc. 2009, 40, 483–492. [Google Scholar] [CrossRef]
  128. Wu, J.; Namikoshi, A.; Nishizawa, T.; Mushiake, K.; Teruya, K.; Muroga, K. Effects of shrimp density on transmission of penaeid acute viremia in Penaeus japonicus by cannibalism and the waterborne route. Dis. Aquat. Org. 2001, 47, 129–135. [Google Scholar] [CrossRef] [PubMed]
  129. Robles-Romo, A.; Zenteno-Savín, T.; Racotta, I.S. Bioenergetic status and oxidative stress during escape response until exhaustion in whiteleg shrimp Litopenaeus vannamei. J. Exp. Mar. Biol. Ecol. 2016, 478, 16–23. [Google Scholar] [CrossRef]
  130. Paterson, B.D. Respiration rate of the kuruma prawn, Penaeus japonicus Bate, is not increased by handling at low temperature (12 C). Aquaculture 1993, 114, 229–235. [Google Scholar] [CrossRef]
  131. de Souza Valente, C. Anaesthesia of decapod crustaceans. Vet. Anim. Sci. 2022, 16, 100252. [Google Scholar] [CrossRef]
  132. Albalat, A.; Zacarias, S.; Coates, C.; Neil, D.; Planellas, S. Welfare in farmed decapod crustaceans, with particular reference to Penaeus vannamei. Front. Mar. Sci. 2022, 9, 886024. [Google Scholar] [CrossRef]
  133. Coates, C.J.; Rowley, A.F.; Smith, L.C.; Whitten, M.M. Host defences of invertebrates to pathogens and parasites. Invertebr. Pathol. 2022, 1, 3–40. [Google Scholar]
  134. Gong, Y.; Zhang, X. RNAi-based antiviral immunity of shrimp. Dev. Comp. Immunol. 2021, 115, 103907. [Google Scholar] [CrossRef] [PubMed]
  135. Tassanakajon, A.; Rimphanitchayakit, V.; Visetnan, S.; Amparyup, P.; Somboonwiwat, K.; Charoensapsri, W.; Tang, S. Shrimp humoral responses against pathogens: Antimicrobial peptides and melanization. Dev. Comp. Immunol. 2018, 80, 81–93. [Google Scholar] [CrossRef]
  136. Freire, C.A.; Cuenca, A.L.; Leite, R.D.; Prado, A.C.; Rios, L.P.; Stakowian, N.; Sampaio, F.D. Biomarkers of homeostasis, allostasis, and allostatic overload in decapod crustaceans of distinct habitats and osmoregulatory strategies: An empirical approach. Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 2020, 248, 110750. [Google Scholar] [CrossRef]
  137. Jerez-Cepa, I.; Ruiz-Jarabo, I. Physiology: An important tool to assess the welfare of aquatic animals. Biology 2021, 10, 61. [Google Scholar] [CrossRef]
  138. Sandeman, D.C.; Kenning, M.; Harzsch, S. Adaptive trends in malacostracan brain form and function related to behavior. Nerv. Syst. Control Behav. 2014, 3, 11–45. [Google Scholar]
  139. Chung, J.S.; Zmora, N.; Katayama, H.; Tsutsui, N. Crustacean hyperglycemic hormone (CHH) neuropeptides family: Functions, titer, and binding to target tissues. Gen. Comp. Endocrinol. 2010, 166, 447–454. [Google Scholar] [CrossRef]
  140. Santos, E.A.; Keller, R. Crustacean hyperglycemic hormone (CHH) and the regulation of carbohydrate metabolism: Current perspectives. Comp. Biochem. Physiol. Part A Physiol. 1993, 106, 405–411. [Google Scholar] [CrossRef]
  141. Xu, L.; Pan, L.; Zhang, X.; Wei, C. Effects of crustacean hyperglycemic hormone (CHH) on regulation of hemocyte intracellular signaling pathways and phagocytosis in white shrimp Litopenaeus vannamei. Fish Shellfish. Immunol. 2019, 93, 559–566. [Google Scholar] [CrossRef] [PubMed]
  142. Bacqué-Cazenave, J.; Bharatiya, R.; Barrière, G.; Delbecque, J.-P.; Bouguiyoud, N.; Di Giovanni, G.; Cattaert, D.; De Deurwaerdère, P. Serotonin in animal cognition and behavior. Int. J. Mol. Sci. 2020, 21, 1649. [Google Scholar] [CrossRef]
  143. Mellor, D.J. Welfare-aligned sentience: Enhanced capacities to experience, interact, anticipate, choose and survive. Animals 2019, 9, 440. [Google Scholar] [CrossRef]
  144. Blattner, C.E. The recognition of animal sentience by the law. J. Anim. Ethics 2019, 9, 121–136. [Google Scholar] [CrossRef]
  145. Vitale, A.; Pollo, S.; Aaltola, E. Human/Animal Relationships in Transformation: Scientific, Moral and Legal Perspectives; Springer: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
  146. Nussbaum, M.C. Justice for Animals: Our Collective Responsibility; Simon and Schuster: New York, NY, USA, 2023. [Google Scholar]
  147. New Zealand. Animal Welfare Act 1999; Ministry for Primary Industries: Wellington, New Zealand, 1999.
  148. New Zealand. Animal Welfare (Care and Procedures) Regulations 2018 Animal Welfare (Care and Procedures) Regulations; Ministry for Primary Industries: Wellington, New Zealand, 2018.
  149. Federal Ministry Republic of Austria. The Federal Act on Animal Welfare (Tierschutzgesetz-TSchG). Austria, 2005, 2004/118. Available online: https://info.bml.gv.at/en/topics/agriculture/agriculture-in-austria/animal-production-in-austria/animal-welfare-act.html (accessed on 15 February 2023).
  150. Johnston, C.; Jungalwalla, P. Aquatic Animal Welfare Guidelines: Guidelines on Welfare of Fish and Crustaceans in Aquaculture and/or in Live Holding Systems for Human Consumption; National Aquaculture Council: Tallahassee, FL, USA, 2005. [Google Scholar]
  151. United Kingdom. Animal Welfare (Sentience) Act 2022; Parliament of the United Kingdom: London, UK, 2022.
  152. Norway. Animal Welfare Act 2009. Norwegian Ministry of Agriculture and Food. Available online: https://www.fao.org/faolex/results/details/en/c/LEX-FAOC100049 (accessed on 23 March 2023).
  153. Switzerland. Animal Protection Ordinance-Protection of Nature, Landscape and Animals 2018. Federal Food Safety and Veterinary Office (FSVO). Available online: https://www.blv.admin.ch/dam/blv/en/dokumente/tiere/rechts-und-vollzugsgrundlagen/tschv-en.pdf.download.pdf/Animal%20Protection%20Ordinance%20455.1.pdf (accessed on 25 May 2023).
  154. ASC. FAQ Shrimp Health & Welfare. Available online: https://asc-aqua.org/wp-content/uploads/2023/09/EXTERNAL-FAQ-Shrimp-Health-and-Welfare.pdf (accessed on 31 January 2024).
  155. Krause, G.; Brugere, C.; Diedrich, A.; Ebeling, M.W.; Ferse, S.C.; Mikkelsen, E.; Agúndez, J.A.P.; Stead, S.M.; Stybel, N.; Troell, M. A revolution without people? Closing the people–policy gap in aquaculture development. Aquaculture 2015, 447, 44–55. [Google Scholar] [CrossRef]
  156. Nikolik, G. Global Shrimp Aquaculture Prodution Survey and Forecast; Rabobank: Hong Kong, China, 2022; p. 27. [Google Scholar]
  157. Waite, R.; Beveridge, M.; Brummett, R.; Castine, S.; Chaiyawannakarn, N.; Kaushik, S.; Mungkung, R.; Nawapakpilai, S.; Phillips, M. Improving Productivity and Environmental Performance of Aquaculture; WorldFish: Penang, Malaysia, 2014. [Google Scholar]
  158. Emerenciano, M.G.; Rombenso, A.N.; Vieira, F.d.N.; Martins, M.A.; Coman, G.J.; Truong, H.H.; Noble, T.H.; Simon, C.J. Intensification of penaeid shrimp culture: An applied review of advances in production systems, nutrition and breeding. Animals 2022, 12, 236. [Google Scholar] [CrossRef]
  159. Alday-Sanz, V. The Shrimp Book II; 5m Books Ltd.: Essex, UK, 2022. [Google Scholar]
  160. Kasper, S.; Adeyemo, O.K.; Becker, T.; Scarfe, D.; Tepper, J. Aquatic Environment and Life Support Systems. In Fundamentals of Aquatic Veterinary Medicine; John Wiley & Sons: Hoboken, NJ, USA, 2022. [Google Scholar]
  161. Darodes, J.B.d.T.; Keitel, J.; Owen, M.A.; Alcaraz-Calero, J.M.; Alexander, M.E.; Sloman, K.A. Monitoring methods of feeding behaviour to answer key questions in penaeid shrimp feeding. Rev. Aquac. 2021, 13, 1828–1843. [Google Scholar] [CrossRef]
  162. de Oliveira, G.B.; Griczinski, P.; Pedrazzani, A.S.; Quintiliano, M.H.; Molento, C.F.M. Brazilians’ perception of shrimp sentience and welfare. J. Vet. Behav. 2023, 71, 41–56. [Google Scholar] [CrossRef]
  163. Xuan, B.B.; Sandorf, E.D.; Ngoc, Q.T.K. Stakeholder perceptions towards sustainable shrimp aquaculture in Vietnam. J. Environ. Manag. 2021, 290, 112585. [Google Scholar] [CrossRef]
  164. Abdel-Latif, H.M.; Yilmaz, E.; Dawood, M.A.; Ringø, E.; Ahmadifar, E.; Yilmaz, S. Shrimp vibriosis and possible control measures using probiotics, postbiotics, prebiotics, and synbiotics: A review. Aquaculture 2022, 551, 737951. [Google Scholar] [CrossRef]
  165. Asche, F.; Anderson, J.L.; Botta, R.; Kumar, G.; Abrahamsen, E.B.; Nguyen, L.T.; Valderrama, D. The economics of shrimp disease. J. Invertebr. Pathol. 2021, 186, 107397. [Google Scholar] [CrossRef] [PubMed]
  166. Phong, T.N.; Tat Thang, V.; Nguyen Trong, H. The effect of sustainability labels on farmed-shrimp preferences: Insights from a discrete choice experiment in Vietnam. Aquacult. Econ. Manag. 2023, 27, 468–497. [Google Scholar] [CrossRef]
  167. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Bmj 2021, 372, 71. [Google Scholar] [CrossRef]
  168. Pedrazzani, A.S.; Cozer, N.; Quintiliano, M.H.; Tavares, C.P.d.S.; da Silva, U.d.A.T.; Ostrensky, A. Non-invasive methods for assessing the welfare of farmed White-leg Shrimp (Penaeus vannamei). Animals 2023, 13, 807. [Google Scholar] [CrossRef] [PubMed]
  169. Cozer, N.; Pont, G.D.; Horodesky, A.; Ostrensky, A. Infrastructure, management and energy efficiency in a hypothetical semi-intensive shrimp model farm in Brazil: A systematic review and meta-analysis. Rev. Aquac. 2020, 12, 1072–1089. [Google Scholar] [CrossRef]
  170. ABCC. Apostila Técnica de Boas Práticas de Manejo Para a Capacitação de Pequenos Produtores. Associação Brasileira de Criadores de Camarão 2010, 1, 330. [Google Scholar]
  171. Costa, F.P.d. Influência da Densidade de Estocagem Sobre o Crescimento, Ciclo de Muda e o Comportamento em Juvenis do Camarão Marinho Litopenaeus Vannamei; Universidade Federal do Rio Grande do Norte: Natal, Brazil, 2012. [Google Scholar]
  172. ABCC. Levantamento da Infraestrutura Produtiva e dos aspectos Tecnológicos, Econômicos, Sociais e Ambientais da Carcinicultura Marinha no Brasil em 2011. Assoc. Bras. Criadores Camarão 2013, 82, 8–77. [Google Scholar]
  173. Wahltinez, S.J.; Stacy, N.I.; Hadfield, C.A.; Harms, C.A.; Lewbart, G.A.; Newton, A.L.; Nunamaker, E.A. Perspective: Opportunities for advancing aquatic invertebrate welfare. Front. Vet. Sci. 2022, 9, 973376. [Google Scholar] [CrossRef]
  174. He, J.; Shi, H.; Xu, W.; Su, Z. Research progress on the cannibalistic behavior of Aquatic Animals and The Screening of Cannibalism-Preventing Shelters. Isr. J. Aquac.-Bamidgeh 2020, 72, 21024. [Google Scholar] [CrossRef]
  175. Abdussamad, E. Cannibalism in the Tiger Prawn Penaeus monodon fabricius in nursery rearing phase. J. Aqua. Trop. 1994, 9, 67–75. [Google Scholar]
  176. Bardera, G.; Owen, M.A.; Façanha, F.N.; Alcaraz-Calero, J.M.; Alexander, M.E.; Sloman, K.A. The influence of density and dominance on Pacific white shrimp (Litopenaeus vannamei) feeding behaviour. Aquaculture 2021, 531, 735949. [Google Scholar] [CrossRef]
  177. Ariadi, H.; Fadjar, M.; Mahmudi, M. The relationships between water quality parameters and the growth rate of white shrimp (Litopenaeus vannamei) in intensive ponds. Aquac. Aquar. Conserv. Legis. 2019, 12, 2103–2116. [Google Scholar]
  178. Zhang, P.; Zhang, X.; Li, J.; Huang, G. The effects of body weight, temperature, salinity, pH, light intensity and feeding condition on lethal DO levels of whiteleg shrimp, Litopenaeus vannamei (Boone, 1931). Aquaculture 2006, 256, 579–587. [Google Scholar] [CrossRef]
  179. Duan, Y.; Li, M.; Sun, M.; Wang, A.; Chai, Y.; Dong, J.; Chen, F.; Yu, Z.; Zhang, X. Effects of Salinity and Dissolved Oxygen Concentration on the Tail-Flip Speed and Physiologic Response of Whiteleg Shrimp, Litopenaeus vannamei. Sustainability 2022, 14, 15413. [Google Scholar] [CrossRef]
  180. Xu, C.; Animali, E.; Initiative, F.W. Key Aquatic Animal Welfare Recommendations for Aquaculture; Aquatic Animal Alliance: New York, NY, USA, 2020. [Google Scholar]
  181. Santos, A.D.A.; López-Olmeda, J.F.; Sánchez-Vázquez, F.J.; Fortes-Silva, R. Synchronization to light and mealtime of the circadian rhythms of self-feeding behavior and locomotor activity of white shrimps (Litopenaeus vannamei). Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 2016, 199, 54–61. [Google Scholar] [CrossRef]
  182. Silva, P.F.; Medeiros, M.d.S.; Silva, H.P.A.; Arruda, M.d.F. A study of feeding in the shrimp Farfantepenaeus subtilis indicates the value of species level behavioral data for optimizing culture management. Mar. Freshwat. Behav. Physiol. 2012, 45, 121–134. [Google Scholar] [CrossRef]
  183. Bardera, G.; Usman, N.; Owen, M.; Pountney, D.; Sloman, K.A.; Alexander, M.E. The importance of behaviour in improving the production of shrimp in aquaculture. Rev. Aquac. 2019, 11, 1104–1132. [Google Scholar] [CrossRef]
  184. Kumar, S.; Verma, A.K.; Singh, S.P.; Awasthi, A. Immunostimulants for shrimp aquaculture: Paving pathway towards shrimp sustainability. Environ. Sci. Pollut. Res. 2023, 30, 25325–25343. [Google Scholar] [CrossRef]
  185. Dai, W.-F.; Zhang, J.-J.; Qiu, Q.-F.; Chen, J.; Yang, W.; Ni, S.; Xiong, J.-B. Starvation stress affects the interplay among shrimp gut microbiota, digestion and immune activities. Fish Shellfish Immunol. 2018, 80, 191–199. [Google Scholar] [CrossRef]
  186. Zhang, S.; Fu, L.; Wang, Y.; Lin, J. Alterations of protein expression in response to crowding in the Chinese shrimp (Fenneropenaeus chinensis). Aquaculture 2014, 428, 135–140. [Google Scholar] [CrossRef]
  187. Sung, Y.Y.; MacRae, T.H.; Sorgeloos, P.; Bossier, P. Stress response for disease control in aquaculture. Rev. Aquac. 2011, 3, 120–137. [Google Scholar] [CrossRef]
  188. Lemos, D.; Weissman, D. Moulting in the grow-out of farmed shrimp: A review. Rev. Aquac. 2021, 13, 5–17. [Google Scholar] [CrossRef]
  189. Parnes, S.; Raviv, S.; Sagi, A. Male and female reproduction in penaeid shrimps. In Reproductive Biology of Crustaceans. Case Studies of Decapod Crustaceans; CRC Press: Boca Raton, FL, USA, 2008; pp. 427–455. [Google Scholar]
  190. Conan, G.Y. Periodicity and phasing of molting. In Crustacean Issues 3; Routledge: London, UK, 2017; pp. 73–99. [Google Scholar]
  191. Molina-Poveda, C.; Escobar, V.; Gamboa-Delgado, J.; Cadena, E.; Orellana, F.; Piña, P. Estrategia de alimentación de acuerdo a la demanda fisiológica del juvenil Litopenaeus vannamei (Boone). Av. En Nutr. Acuicola 2002. Cancún, Quintana Roo, México. Available online: https://nutricionacuicola.uanl.mx/index.php/acu/article/view/231 (accessed on 15 January 2023).
  192. Ren, X.; Wang, Q.; Shao, H.; Xu, Y.; Liu, P.; Li, J. Effects of low temperature on shrimp and crab physiology, behavior, and growth: A review. Front. Mar. Sci. 2021, 8, 746177. [Google Scholar] [CrossRef]
  193. Zhang, D.; Guo, X.; Wang, F.; Dong, S. Effects of periodical salinity fluctuation on the growth, molting, energy homeostasis and molting-related gene expression of Litopenaeus vannamei. J. Ocean Univ. China 2016, 15, 911–917. [Google Scholar] [CrossRef]
  194. Stumpf, L.; Timpanaro, S.; Battista, A.; López Greco, L. Effects of intermittent starvation on the survival, growth, and nutritional status of the freshwater prawn Macrobrachium borellii Nobili, 1896 (Decapoda: Caridea: Palaemonidae). J. Crustac. Biol. 2020, 40, 489–497. [Google Scholar] [CrossRef]
  195. Wu, L.; Dong, S. The effects of repetitive’starvation-and-refeeding’cycles on the compensatory growth response in Chinese shrimp, Fenneropenaeus chinensis (Osbeck, 1765) (Decapoda, Penaeidae). Crustaceana 2001, 74, 1225–1239. [Google Scholar]
  196. Briffa, M.; Weiss, A. Animal personality. Curr. Biol. 2010, 20, R912–R914. [Google Scholar] [CrossRef]
  197. Gherardi, F.; Aquiloni, L.; Tricarico, E. Behavioral plasticity, behavioral syndromes and animal personality in crustacean decapods: An imperfect map is better than no map. Curr. Zool. 2012, 58, 567–579. [Google Scholar] [CrossRef]
  198. Tidwell, J.; Bratvold, D. 15 Utility of Added Substrates in Shrimp Culture. In Periphyton: Ecology, Exploitation and Management; CABI: Wallingford, UK, 2005; p. 247. [Google Scholar]
  199. Thapa, H.; Rafiquzzaman, S.; Rahman, M.; Alam, M. Effects of Artifical Substrate on Rearing of Macrobrachium Rosenbergii Post-larvae in Pond Net Cage. Ann. Bangladesh Agric. 2020, 24, 95–106. [Google Scholar] [CrossRef]
  200. Browning, H. Assessing measures of animal welfare. Biol. Philos. 2022, 37, 36. [Google Scholar] [CrossRef]
  201. Nilsson, J.; Stien, L.H.; Iversen, M.H.; Kristiansen, T.S.; Torgersen, T.; Oppedal, F.; Folkedal, O.; Hvas, M.; Gismervik, K.; Ellingsen, K. Welfare Indicators for farmed Atlantic salmon–Part A. Knowledge and theoretical background. Welf. Indic. Farmed Atl. Salmon Tools Assess. Fish Welf. 2018, 351, 10–145. [Google Scholar]
  202. Wolfensohn, S.; Sharpe, S.; Hall, I.; Lawrence, S.; Kitchen, S.; Dennis, M. Refinement of welfare through development of a quantitative system for assessment of lifetime experience. Anim. Welf. 2015, 24, 139–149. [Google Scholar] [CrossRef]
  203. Narshi, T.M.; Free, D.; Justice, W.S.; Smith, S.J.; Wolfensohn, S. Welfare assessment of invertebrates: Adapting the animal welfare assessment grid (AWAG) for zoo decapods and cephalopods. Animals 2022, 12, 1675. [Google Scholar] [CrossRef]
  204. Stien, L.H.; Gytre, T.; Torgersen, T.; Sagen, H.; Kristiansen, T.S. A System for Online Assessment of Fish Welfare in Aquaculture; ICES: Toronto, ON, Canada, 2008. [Google Scholar]
  205. Stien, L.H.; Bracke, M.B.; Folkedal, O.; Nilsson, J.; Oppedal, F.; Torgersen, T.; Kittilsen, S.; Midtlyng, P.J.; Vindas, M.A.; Øverli, Ø. Salmon Welfare Index Model (SWIM 1.0): A semantic model for overall welfare assessment of caged Atlantic salmon: Review of the selected welfare indicators and model presentation. Rev. Aquac. 2013, 5, 33–57. [Google Scholar] [CrossRef]
  206. Pettersen, J.M.; Bracke, M.B.; Midtlyng, P.J.; Folkedal, O.; Stien, L.H.; Steffenak, H.; Kristiansen, T.S. Salmon welfare index model 2.0: An extended model for overall welfare assessment of caged Atlantic salmon, based on a review of selected welfare indicators and intended for fish health professionals. Rev. Aquac. 2014, 6, 162–179. [Google Scholar] [CrossRef]
  207. Saraiva, J.L.; Arechavala-Lopez, P.; Castanheira, M.F.; Volstorf, J.; Heinzpeter Studer, B. A global assessment of welfare in farmed fishes: The FishEthoBase. Fishes 2019, 4, 30. [Google Scholar] [CrossRef]
  208. Weirup, L.; Schulz, C.; Seibel, H. Fish welfare evaluation index (fWEI) based on external morphological damage for rainbow trout (Oncorhynchus mykiss) in flow through systems. Aquaculture 2022, 556, 738270. [Google Scholar] [CrossRef]
  209. Toomey, L.; Gesto, M.; Alfonso, S.; Lund, I.; Jokumsen, A.; Lembo, G.; Carbonara, P. Monitoring welfare indicators of rainbow trout (Oncorhynchus mykiss) in a commercial organic farm: Effects of an innovative diet and accelerometer tag implantation. Aquaculture 2024, 582, 740549. [Google Scholar] [CrossRef]
  210. Lertwanakarn, T.; Purimayata, T.; Luengyosluechakul, T.; Grimalt, P.B.; Pedrazzani, A.S.; Quintiliano, M.H.; Surachetpong, W. Assessment of Tilapia (Oreochromis spp.) Welfare in the Semi-Intensive and Intensive Culture Systems in Thailand. Animals 2023, 13, 2498. [Google Scholar] [CrossRef]
  211. Gismervik, K.; Turnbull, J.F.; Nielsen, K.V.; Iversen, M.H.; Nilsson, J.; Espmark, Å.M.; Mejdell, C.M.; Sæther, B.-S.; Stien, L.H.; Izquierdo-Gomez, D. Welfare Indicators for farmed Atlantic salmon: Part C–fit for purpose OWIs for different routines and operations. In Welfare Indicators for Farmed Atlantic Salmon: Tools for Assessing Fish Welfare; Noble, C., Gismervik, K., Iversen, M.H., Kolarevic, J., Nilsson, J., Stien, L.H., Turnbull, J.F., Eds.; Nord University: Bodø, Norway, 2018; Volume 351, pp. 238–351. [Google Scholar]
  212. Noble, C.; Gismervik, K.; Iversen, M.H.; Kolarevic, J.; Nilsson, J.; Stien, L.H.; Turnbull, J.F. Welfare Indicators for Farmed Atlantic Salmon: Tools for Assessing Fish Welfare; Nord university: Bodø, Norway, 2018. [Google Scholar]
Figure 1. Assessment and comparison of aquacultured Penaeus vannamei shrimp quantities and biomass to other farmed organisms.
Figure 1. Assessment and comparison of aquacultured Penaeus vannamei shrimp quantities and biomass to other farmed organisms.
Fishes 09 00440 g001
Figure 2. Schematic representation (not to scale) of the modal marine shrimp fattening farm in ponds in Brazil. Adapted from Cozer, Pont, Horodesky, and Ostrensky [169].
Figure 2. Schematic representation (not to scale) of the modal marine shrimp fattening farm in ponds in Brazil. Adapted from Cozer, Pont, Horodesky, and Ostrensky [169].
Fishes 09 00440 g002
Figure 3. The outcome of applying the General Welfare Index (GWI) for Penaeus vannamei shrimp cultivated in ponds during the fattening phase under conditions representing the modal practices in Brazil. The red colour indicates a low degree of welfare, and the green colour indicates a high Confidence Level (CL).
Figure 3. The outcome of applying the General Welfare Index (GWI) for Penaeus vannamei shrimp cultivated in ponds during the fattening phase under conditions representing the modal practices in Brazil. The red colour indicates a low degree of welfare, and the green colour indicates a high Confidence Level (CL).
Fishes 09 00440 g003
Table 1. Terms used in the systematic literature review on methods for quantitatively assessing the welfare of farmed aquatic animals.
Table 1. Terms used in the systematic literature review on methods for quantitatively assessing the welfare of farmed aquatic animals.
GroupCombinations
I“shrimp welfare”, “aquaculture”, AND “INDEX” AND “measure”
II(“aquaculture” OR “fish farming”) AND (“well-being index” OR “welfare index” OR “welfare assessment” OR “welfare metric”) AND (“mathematical model” OR “quantitative formula” OR “evaluation index”) AND (“crustaceans” OR “fish” OR “shellfish” OR “aquatic organisms” OR Decapod)
III“aquaculture” AND (“shrimp” OR “decapod” OR “Shellfish” OR “Crustacea” OR “Fish”) AND (“well-being assessment” OR “welfare assessment” OR “welfare Index” OR “well-being Index”)
Table 2. Sequential selection stages adopt the PRISMA framework for identifying methods and strategies for calculating the welfare level of animals cultivated in global aquaculture.
Table 2. Sequential selection stages adopt the PRISMA framework for identifying methods and strategies for calculating the welfare level of animals cultivated in global aquaculture.
Phase 1: Pre-IdentificationNumber of Documents
Number of identified documents1510
Documents from not academic sources (manuals, technical standards, scientific dissemination articles)40
Total number of identified documents1550
Duplicate documents453
Phase 2: SelectionNumber of documents
Documents selected, excluding duplicates1097
Documents excluded for not meeting the defined criteria961
Phase 3: EligibilityNumber of documents
Documents assessed for eligibility136
Documents excluded for not meeting the defined criteria76
Documents evaluated through full reading60
Documents excluded for not meeting the defined criteria50
Result: Total number of included documents10
Table 3. Rank values for the Partial Welfare Indexes (PWIx), General Welfare Index (GWI) and the respective partial Confidence Level (CL) and General Confidence Level (GCL) arbitrated for shrimp (Penaeus vannamei).
Table 3. Rank values for the Partial Welfare Indexes (PWIx), General Welfare Index (GWI) and the respective partial Confidence Level (CL) and General Confidence Level (GCL) arbitrated for shrimp (Penaeus vannamei).
Welfare RatingPWIx and GWICLx and GCL
Critical0-
Low>0 and ≤0.50>0 and ≤0.50
Medium>0.50 and <0.75>0.50 and <0.70
High≥0.75≥0.70
Table 4. Description and specification of the management, operational parameters, and technical data used during the fattening phase in the hypothetical farm intended for shrimp cultivation. Source: Cozer, Pont, Horodesky, and Ostrensky [169].
Table 4. Description and specification of the management, operational parameters, and technical data used during the fattening phase in the hypothetical farm intended for shrimp cultivation. Source: Cozer, Pont, Horodesky, and Ostrensky [169].
ItemDescription/ValueUnit
Water surface area9ha
Operating systemBiphase-
Production regimeSemi-intensive-
Post-larvae (PL20)Specific pathogen-free (SPF)-
Stocking density43shrimps/m2
Biometry1time/week
Diet compositionNatural feed + pellets-
Feeding frequency4times/day
Feed quantity2.0–5.0% biomass
Use of feeders35feeders/ha
Feed size1.0–3.0mm
Crude protein in feed35–40%
Apparent Feed Conversion rate1.5-
Stunning during slaughterIceseconds
Method for controlling aquatic predatorsScreens-
Final shrimp weight12g
Cycle duration90days
Survival72%
Table 5. Water quality parameters adopted to simulate and calculate the Environmental Partial Welfare Index (PWIEn). Source: ABCC [170].
Table 5. Water quality parameters adopted to simulate and calculate the Environmental Partial Welfare Index (PWIEn). Source: ABCC [170].
ParameterValueUnit
Temperature25–32°C
pH6.5–7.5-
Transparency30.0–35.0cm
Alkalinity120.0–200.0mg/L CaCO3
Ammonia0.00–0.12mg/L NH3
Dissolved Oxygen68.0% saturation
Nitrite0.0–0.5mg/L NO2
Salinity10.0–40.0PSU
Table 6. The number of documents identified through Google Scholar using the terms Penaeus AND vannamei AND juvenile OR adult AND aquaculture AND “keyword” and their respective weights (Y = Int(ln(n)).
Table 6. The number of documents identified through Google Scholar using the terms Penaeus AND vannamei AND juvenile OR adult AND aquaculture AND “keyword” and their respective weights (Y = Int(ln(n)).
DomainKeywordNumber of
Documents (n)
Weight (Y)
Environmental“pH”
“Temperature”
“Salinity”
“Stocking density”
“Ammonia”
“Dissolved oxygen”
“Nitrite”
“Alkalinity”
“Terrestrial” AND “predator” OR “competitor”
“Transparency”
25,70010
24,70010
19,00010
16,66010
14,20010
13,2009
75909
28508
17307
15507
“Aquatic” AND “predator” OR “competitor”7787
Health“Mortality”16,10010
“Hepatopancreas”11,1009
“Gills”78009
“Eyes “39508
“Exoskeleton” 27508
“Motor appendages” 22908
“Musculature” 16207
“Rostrum “12307
“Antennae” 7817
Nutritional“Frequency food”26,10010
“Apparent feed conversion rate” 12,6609
“Crude protein” 99709
“Use of trays”19608
“Distribution food”1195
“Size food “1645
“Amount of initial food”1475
“Digestive tract filling index”72
Behavioural“Swimming behaviour”2586
“Escape behaviour”1535
“Stunning”1325
Table 7. Application of the protocol proposed by Pedrazzani, Cozer, Quintiliano, Tavares, da Silva, and Ostrensky [168] on the hypothetical farm developed by Cozer, Pont, Horodesky, and Ostrensky [169].
Table 7. Application of the protocol proposed by Pedrazzani, Cozer, Quintiliano, Tavares, da Silva, and Ostrensky [168] on the hypothetical farm developed by Cozer, Pont, Horodesky, and Ostrensky [169].
DomainIndicatorValue or Criteria Described at the Hypothetical Farm Value or Criteria Considered for Scoring Scores Obtained in Hypothetical Farm *
EnvironmentalTemperature25.0–32.025.0–32.01
pH6.5–7.56.5–8.51
Transparency30.0–35.035.0–50.02
Alkalinity120.0–200.0100.0–140.02
Ammonia (NH3)0.00–0.120.00–0.102
Dissolved Oxygen68.0≥65.01
Nitrite0.0–0.50.0–0.61
Salinity40.010.0–40.91
Stocking density43.0≤40.02
Aquatic PredatorsScreen 500 um−1 mmControlled presence2
BehaviouralSwimming behaviourFigure S1Few animals on the pond surface or irregular swimming1
Escape behaviourFigure S2Few jumping shrimps, but with high frequency and/or intensity during harvesting3
Stunning at slaughter–clinical reflexesFigure S3Slaughter using water and ice. Progressive loss of response to external stimuli; balance; movement of pleopods and pereiopods within >30 seconds3
NutritionalSize of food1.0–3.02.1–3.01
Amount of food (% biomass)2.0–5.02.0–3.92
Feeding frequency (times/day)4.0≥21
Crude Protein (%)32.0–40.0≥32.01
FCR1.5≤1.51
Distribution of feed
(% of pond surface)
>75>751
Use of feeders (no./ha) **35.0≥20.01
Digestive tract filling index46% fullFull1
HealthAntennaeFigure S4Focal lesion, shortening, or darkening2
RostrumFigure S5Mild injury, erosion, or necrosis2
EyesFigure S5Healthy appearance, no changes1
GillsFigure S6Healthy appearance, no changes1
HepatopancreasFigure S4Healthy appearance, no changes1
Motor appendagesFigure S7Focal absence or erosions2
ExoskeletonFigure S7Slight lesion or focal darkening, presence of debris2
MusculatureFigure S7Healthy appearance, no changes1
Mortality (%)28.0≥26.03
* In the evaluation system, 1 represents the optimal welfare value or range for the species; 2 indicates a value that may compromise the animal’s welfare; and 3 signifies severe welfare impairment, potentially resulting in the individuals’ deaths. ** Feeders are considered an indicator of distributing the feed over >75% of the pond surface area.
Table 8. Methodological, conceptual, and operational comparisons between different methods developed for measuring the welfare degree of organisms cultivated in aquaculture.
Table 8. Methodological, conceptual, and operational comparisons between different methods developed for measuring the welfare degree of organisms cultivated in aquaculture.
INDEX
NameGWI 1AWAG 2Welfare Meter 3SWIN 1.0 4SWIN 2.0 5FishEthoScores 6fWEI 7MyFishCheck 8Not
Named 9
FISHWELL 10
ApplicationAquaculture organismsDecapods and cephalopods in zoo and aquariumCaged SalmonCaged salmonCaged salmonFarmed fishFarmed troutFarmed fishFarmed tilapiaFarmed salmon and trout
Is it already applied to shrimps?YesNoNoNoNoNoNoNoNoNo
Domains of welfare directly addressed4/51/52/54/52/54/54/54/54/54/5
The number of welfare indicators3019718101012192523
Time required for measurement of indicatorsMediumLongAutomaticMediumShortLongShortLongMediumMedium
Invasiveness of the indicatorsLowLowLowLowLowLowLowHighLowHigh
Does it use factor weighting for the indicators?YesNoNoYesYesNoYesNoNoNo
Number of scores for each indicator310Not applied2–63–734Not applied44
Ease of field measurement of indicatorsModerateModerateEasyModerateModerateModerateEasyDifficultModerateDifficult
Is there a calculation of a quantitative welfare index?YesNoYesYesYesNoYesNoNoNo
Is it calculated the confidence interval of the indices?YesNoNoNoNoNoNoNoNoNo
References: 1—Present study; 2—Narshi, Free [203]; 3—Stien, Gytre [204]; 4—Stien, Bracke [205]; 5—Pettersen, Bracke [206]; 6—Saraiva, Arechavala-Lopez [207]; 7—Weirup, Schulz, and Seibel [208]; 8—Toomey, Gesto [209]; 9—Lertwanakarn [210]; 10—Gismervik [211].
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pedrazzani, A.S.; Cozer, N.; Quintiliano, M.H.; Ostrensky, A. Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds. Fishes 2024, 9, 440. https://doi.org/10.3390/fishes9110440

AMA Style

Pedrazzani AS, Cozer N, Quintiliano MH, Ostrensky A. Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds. Fishes. 2024; 9(11):440. https://doi.org/10.3390/fishes9110440

Chicago/Turabian Style

Pedrazzani, Ana Silvia, Nathieli Cozer, Murilo Henrique Quintiliano, and Antonio Ostrensky. 2024. "Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds" Fishes 9, no. 11: 440. https://doi.org/10.3390/fishes9110440

APA Style

Pedrazzani, A. S., Cozer, N., Quintiliano, M. H., & Ostrensky, A. (2024). Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds. Fishes, 9(11), 440. https://doi.org/10.3390/fishes9110440

Article Metrics

Back to TopTop