Next Article in Journal
Comparison of the Genetic Structure of Invasive Bigheaded Carp (Hypophthalmichthys spp.) Populations in Central-European Lacustrine and Riverine Habitats
Next Article in Special Issue
New Insights into the Hourly Manure Coverage Proportion on the Manure Belt in a Typical Layer House for Accurate Ammonia Emission Modeling
Previous Article in Journal
An Overview of the Use of Genotyping Techniques for Assessing Genetic Diversity in Local Farm Animal Breeds
Previous Article in Special Issue
Characterizing Sounds of Different Sources in a Commercial Broiler House
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Cluster and Unrest Behaviors of Laying Hens Housed under Different Thermal Conditions and Light Wave Length

by
Aline Mirella Fernandes
1,
Diogo de Lucca Sartori
2,
Flávio José de Oliveira Morais
2,
Douglas D’Alessandro Salgado
2 and
Danilo Florentino Pereira
1,3,*
1
Graduate Program in Agribusiness and Development, School of Science and Engineering, São Paulo State University, Tupã 17602-496, Brazil
2
Department of Biosystems Engineering, School of Science and Engineering, São Paulo State University, Tupã 17602-496, Brazil
3
Department of Management, Development and Technology, School of Science and Engineering, Sao Paulo State University, Tupã 17602-496, Brazil
*
Author to whom correspondence should be addressed.
Animals 2021, 11(7), 2017; https://doi.org/10.3390/ani11072017
Submission received: 30 April 2021 / Revised: 29 June 2021 / Accepted: 30 June 2021 / Published: 6 July 2021
(This article belongs to the Special Issue Precision Poultry Farming)

Abstract

:

Simple Summary

The effects of lighting wavelength on the behavior of laying hens are not yet completely known. This study observed three groups of birds housed under different lighting colors (blue, green, and red) for 90 days. Important differences were found regarding the unrest and cluster behaviors of the birds. It was found that, at shorter wavelengths (blue light), birds became more agitated, while, at longer wavelengths (red light), birds became more clustered. When subjected to cold or heat stress, birds expressed unrest and cluster behaviors in different ways, indicating that further studies should be conducted to better clarify the effects of lighting on the behavior and well-being of laying hens.

Abstract

Laying hens are affected by the intensity, wavelength, and duration of light, and the behavioral patterns of these animals are important indicators of stress. The objective of the present study was to evaluate cluster and unrest behaviors of lying hens submitted to three environments with different treatments of monochromatic lighting (blue, green, and red). For 29 weeks, 60 laying hens from the Lohmann variety were divided into three groups and monitored by surveillance cameras installed on each shed ceiling and directed to the floor. Each group was housed in a small-scale shed and maintained under a monochromatic lighting treatment. The recordings were made at two times of the day, 15 min in the morning and 15 min in the afternoon, and the videos were processed, segmented, and analyzed computationally. From the analysis of the images, the cluster and unrest indexes were calculated. The results showed the influence of lighting on these behaviors, displaying that the birds were more agitated in the treatments with shorter wavelengths. Cluster behavior was higher in birds housed under red light. There was an interaction between the lighting treatments and the thermal environment, indicating that more studies should be carried out in this area to better understand these behavioral changes.

1. Introduction

The use of artificial lighting in the breeding of laying hens is essential to achieve the necessary illuminance, spectrum of light, and suitable photoperiod for the physiological stimulation of the animals [1]. Thus, lighting has a great influence on the productivity of these animals and is a factor of high importance for the welfare of birds confined in conventional egg production systems.
Well-being is defined as the animal’s ability to interact and live well in its environment [2]. Light is an essential factor in the microclimate of the poultry house, which means variations in its distribution, intensity, wavelength, and duration affect the welfare and performance of birds [3,4,5,6,7].
The lighting period can contribute to normal and healthy behavior patterns [4,8]. Broilers are more active when in contact with high illuminance (180–200 lux) [9]. For broiler chickens, longer wavelengths (orange and red) make these birds more agitated and aggressive [4].
Behavior is an indicator of stress, and it is affected by the wavelength of light [10,11,12,13,14,15,16,17]. Broilers move more under long-wavelength lighting and tend to stay seated and stationary for longer in environments with blue and green light [5]. Aggressive behavior can be controlled by decreasing the light intensity or using different wavelengths [18]. However, knowledge about the effects of different wavelengths on laying hens is still limited [7].
Birds have four types of single cones, double cones, and rods [19]. Olsson and colleagues [20] report that single-cone photoreceptors are responsible for color vision, each sensitive to a range of specific wavelengths. The maximum sensitivity of these cones is for long wavelengths (L, red) 571 nm, medium wavelengths (M, green) 508 nm, short wavelengths (S, blue) 455 nm, and very short wavelengths (VS, ultraviolet) 415 nm [21]. When a thermal environment changes from thermoneutrality to heat or cold stress, the behavior of birds, whether individual or collective, occurs more quickly in order to mitigate its effects [22,23,24].
When birds are subjected to heat stress situations, several changes in energy metabolism start to occur, altering thermoregulatory and behavioral responses, and part of the energy that would be used for egg production is redirected to maintain the bird’s homeostasis [12,25]. In this situation, one can observe increased water intake, reduced feed consumption, increased respiratory rate, and behaviors such as aggressive pecking and wing exposure as a way to dissipate endogenous heat and maintain homeostasis [26,27,28,29].
The behavioral observation of animals can be performed by a human being present at the place where the animals are housed. However, this is a time-consuming, expensive, subjective, and error-prone method. Automated monitoring, through digital cameras, has the ability to generate data that provide an objective measure of behavior, without disturbing animals [30]. In addition to being a low-cost technology, it enables the monitoring of animal behavior on an automated [31,32,33], non-invasive [34], and ongoing basis.
Digital cameras have been used to monitor the behavior of birds, in which the images analyzed use computer vision techniques [32,35,36,37]. Computer vision is responsible for extracting relevant information based on images captured by digital cameras, whether through photographic or video images, sensors, and other devices [38]. These technologies have shown great evolution over the past few years [39].
The cluster behavior of laying hens can be classified automatically through image analysis [34]. Pereira and co-workers [34] found that, in conditions of lower temperatures, the laying hens agglomerate more, suggesting that this group behavior can be used to estimate bird thermal comfort. The evaluation of laying hens’ agitation behavior was proposed by [40], through an unrest index calculated from image analysis. This index was used to estimate bird thermal comfort, and the authors found that, in high temperature conditions, birds moved less in the poultry house. The combined use of these methods can contribute to a more accurate assessment of the conditions and well-being of commercial birds at their breeding place.
The objective of this work was to evaluate the cluster and unrest behaviors of laying hens in different thermal conditions (cold, comfort, and heat), submitted to three different monochromatic lighting sources (blue, green, and red) in order to verify whether the wavelength of the light source influences these behaviors.

2. Materials and Methods

The study was carried out at the facilities of the Bioterium of the School of Sciences and Engineering, from the São Paulo State University (UNESP), in the city of Tupã, Brazil. The experiments were carried out for 90 days, from 10 June to 8 September 2020, in which the first seven days were dedicated to the adaptation of the birds to the new environment and accommodation conditions.

2.1. Description of Birds and Facilities

For this study, 60 laying hens of the Lohmann variety were monitored at, initially, 29 weeks of age. At the beginning of the experiments, the birds, which were obtained from a commercial farm, were randomly divided into three groups of 20 birds each. Food was administered daily, in the amount of 110 g/bird, once a day, in the morning. Access to water was ad libitum, through nipple drinkers. The light management was similar to that adopted by the original farm, with a photoperiod of 17 h of light.
Three models of sheds were used on a reduced scale, arranged in an east–west orientation, where the birds were housed in a 15 cm high shavings bed. Each poultry house had two 40 × 40 × 40 cm3 box-type nests installed, a pendular feeder (Φ 30 cm), and four nipple drinkers, as shown in Figure 1a.
The sheds were completely sealed with the use of plastic sheeting, to prevent external lighting from influencing the internal lighting system of each environment. For ventilation control and air renewal inside the sheds, exhaust fans (Φ 30 cm, 120 W, and outflow 30 m3/min) were installed on one of the longitudinal walls (Figure 1b).
In each of the sheds, the group of birds was exposed to the treatment of monochromatic blue, green, and red LED lighting. (Initially, the experimental design provided for a control treatment, where 20 birds were housed under white light. However, in this treatment there was an outbreak of Lipeurus caponis lice that affected the behavior of the birds, and the data could not be used in this work). Each light source had a different light spectrum, as shown in Figure 2. The number of lamps in each treatment was calculated from the characteristics of the lamps provided by the manufacturer, to provide the same 100 lux illuminance, similar to the methodology used by Zupan [41].

2.2. Monitoring of the Thermal Environment

In order to monitor the internal thermal environment of the sheds, a datalogger of the HOBO® brand, model U12-012, was installed. The datalogger was positioned in the center of the sheds, at the same height as that of the birds, to record data on temperature and relative humidity. This equipment was programmed to record the temperature and relative humidity of the air at 5 min intervals for 24 h throughout the entire observational study.
From the temperature and relative humidity data, the Temperature and Humidity Index (THI) was calculated for each shed internal environment, using Equation (1), described by [42] and used for birds by [43].
T H I = 0.8 × T + R H × ( T 14.3 ) 100 + 46.3
where: T = temperature dry bulb in °C; RH = relative humidity of the air (%).

2.3. Bird Monitoring System

The birds were monitored by digital surveillance cameras, which were installed in the center of the shed ceiling and directed to the floor, at a 1.5 m height. The cameras recorded for 15 min in the morning and 15 min in the afternoon, according to the methodology used by [44,45]. The captured images were recorded and stored in video format using Digital Video Recorder (DVR) equipment.
The transmission of the images from the cameras to the DVR was made by coaxial cables. The video cameras installed were from the POWER® brand, model AP2688W, with a Charge-Coupled Device (CCD) analog image sensor. The resolution was that of 352 × 240 pixels, a lens with a focal length of 2.8 mm, a viewing angle of 60°, and video standard NTSC (National Television System(s) Committee). The DVR equipment was the model VD 4E120 of the Intelbras® brand, with the Linux operating system installed, supported video format NTSC, had a video recording speed of 30 frames per second (fps) and with capacity for 4 video channels and support for 1 1TB SATA HD.
From the framing obtained by the cameras inside each shed, an area free of objects and equipment was defined, so that the activity of the birds could be monitored. This area was delimited in the first frame and replicated for all consecutive frames of all the video files that composed the samples. The images were processed and analyzed using MATLAB® software. In the image processing, low-pass filters and threshold-based segmentation techniques were applied so that only the birds were highlighted (Figure 3).
From the segmented (binarized) images, it was possible to extract measures used to calculate the cluster and unrest indexes, used in this work to describe the group behavior of the birds in each treatment.

2.4. Measures of Cluster and Unrest Indexes

Two indicators were used to describe the group behavior of birds: the cluster index, described by [37] and the unrest index, described by [40]. The cluster behavior is characterized by the reduction in distances between individuals and the pillaging of these birds. On the other hand, the unrest behavior is associated with the movement of the flock in the experimental house.
With the segmented image, the positions of the centers of mass of the birds (or groups of birds) were recorded in each video frame, in addition to the area and the perimeter of the shapes that the birds assume. These measures were used to calculate the cluster index described by Equation (2).
C l u s t e r   I n d e x i = 2 × A ¯ × h 2 + w 2 P ¯ × D ¯ × n A 1
where:   C l u s t e r   I n d e x ( i ) is the cluster index of the birds observed in the ith frame of the video; A ¯ and P ¯ are, respectively, the average area and perimeter (in pixels) of the shapes observed in the frame; D ¯ is the average distance between the centers of mass of the shapes in the scene;   n A is the number of clusters, and h and w correspond to height and width (in pixels) of the cropped image.
For the calculation of the unrest index (measured in centimeters), initially, the distances from the birds’ centers of mass in one frame, at time i−1, were calculated to the birds’ centers of mass in the next frame, at time i. From the distance measurements between the centers of mass of the birds between the frames, the Hausdorff distance was extracted, which is the mathematical measure that represents the distance between two sets. The Hausdorff distance makes up the unrest index, as described by Equation (3).
U n r e s t   I n d e x ( i , i 1 ) = k . m a x { d H ( F ( i ) , F ( i 1 ) ) ,   d H ( F ( i 1 ) , F ( i ) ) }
where:   U n r e s t   I n d e x ( i ,   i 1 ) is the unrest index (cm) of the birds between two frames recorded with 1 (one) second difference; i is the position of the frame in the video; F ( i ) is the current frame; F ( i 1 ) is the previous frame; d H is the Hausdorff distance between group of birds from one frame to the other, and k is the proportionality factor calculated by Equation (4).
k = 2 H tan ( α / 2 ) w
where: k is the proportionality factor; H is the height (cm) of the installed camera in relation to the floor; α is the opening angle of the camera lens, and w is the length (pixels) of the CCD sensor, which corresponds to the length of the largest measurement of the frame captured by the camera.

2.5. Analysis

This is considered an observational cohort study, as it followed three groups of similar individuals (cohorts) under different environmental treatments. Treatments were under blue, green, or red lighting conditions in each experimental house.
In this study, agitation and agglomeration behaviors were compared using the unrest index and cluster index, respectively. Initially, exploratory analyses were performed through graphical interpretations, and later confirmatory analyses through the analysis of variance and the multiple means comparisons test.

3. Results and Discussion

3.1. Thermal Environment

For laying hens, it is considered that temperature and THI values above 28 °C and 78, respectively, are considered situations in which the birds are outside the thermal comfort zone and, therefore, already characterize heat stress [43]. On the other hand, temperatures below 15 °C and a THI below 59 are considered to induce cold stress [46].
Figure 4 shows the variation of the THI for each hour during the entire period of the experiment. When the THI values of the environment are below or above the thermoneutrality limits defined in the literature, the values are highlighted in red.
Figure 4 shows that the birds were exposed to conditions of a thermoneutral environment most of the time. However, they were also exposed to conditions of cold and heat stress at some moments. Considering the recording times of the videos for behavior analysis, 49 thermoneutrality recordings, 20 heat recordings, and 15 cold recordings were obtained.

3.2. Behavior Analysis

Approximately 36 h of images were recorded in a video file in the three lighting treatments, which provided an analysis of about 520,000 frames, allowing the assessment of birds’ unrest and cluster behaviors through their respective indexes.
It was observed that the birds’ unrest decreases with increasing wavelength (Figure 5a). The group of birds housed under blue lighting treatment were those that showed greater unrest behavior, compared to the other treatments. The confidence intervals for cluster behaviors between the lighting treatments, where the influence of the red wavelength is verified in the increase in the intensity of this collective behavior, are shown in Figure 5b.
For broilers, Sultana and co-workers [5] and Hesham and colleagues [47] found that the birds clustered less under blue lighting (short wavelength) and showed greater unrest when exposed to red lighting (long wavelength). In this study, laying hens exposed to red light were more crowded and less agitated when compared to green and blue lights. The results suggest that the effects of lighting wavelength promote different effects in broilers and laying hens, as also noted by Wichman and colleagues [48], or that age or sexual maturity are determinants for the choice of which light spectrum is the most suitable for each stage of production, as verified by Wei and co-workers [7] in breeding commercial poultry. Red monochromatic LED lighting reduced aggression [49] and reduced bird mortality [50], indicating that this wavelength may be associated with reduced stress. In broilers, studies have shown that, under red light, the birds are more agitated and aggressive [4], while laying hens have an increase in egg production [51] and reduction in stress [52].
Marino [53] describes that personality is defined by three traits (boldness, activity/exploration, and vigilance) and that bird emotions are a combination of cognitive ability and sociability. Birds are highly dependent on vision to express behaviors, especially social behaviors [54,55]. Thus, in environments with monochromatic lighting, it is expected that visual acuity is affected and that social behaviors are altered, influencing the exploration behavior and the welfare of the birds. During the experiment, it was noticeable that the birds under blue lighting were more agitated, as shown by the unrest index (Figure 6a), followed by the green and red treatments. Despite some interaction between the days, there is a tendency to reduce the unrest with the increase in the wavelength.
In the birds’ cluster behavior, a greater interaction of the cluster index was observed between the data from the blue and green light groups. However, the cluster in the group housed under red light was much greater, showing very pronounced peaks in the morning period (Figure 6b). Early in the day, there was a greater supply of food in the feeders and, revisiting the videos, it was found that this cluster occurred around the feeder, demonstrating that birds at this wavelength are more willing to eat.
Lighting is known to affect the behavior of birds [13,15,16,17]. The birds eat more when exposed to green light when compared to blue light [16]. The birds spend more time around the drinker when under blue and white light, and less time under red and green light [11]. In this work, the dwelling times in the feeder and drinker were not monitored, but the results suggest that there was a greater cluster of birds observed in the red wavelength around the feeder. Birds prefer environments with short-wave lighting (blue and green) to environments with red lighting [14]. Chickens perceive light at a different intensity than humans [56]. Photoreceptors have colored oil droplets that act as a filter for different wavelengths of light [20]. For this reason, each photoreceptor is sensitive to different wavelengths range, with violet light photoreceptors being the most sensitive, followed by blue, green, and red, in that order [19]. In this experiment, this characteristic of the birds’ vision may have affected the laying hens’ behaviors in response to the light intensity, so that, under the blue light treatment, the birds may have been hyper-stimulated, which would explain the more agitated behavior.
The interaction between the unrest and cluster behaviors of the birds was verified for the thermal conditions observed in the study (Figure 7).
While it is observed that birds reared under red light show a reduction in the unrest index as the temperature increases, birds reared under green and blue light showed a higher unrest index when the temperature was of thermal comfort. Although the results indicate this interaction, it can be seen in Figure 7a that that there is an influence of blue light in the greatest unrest in birds, for all environmental conditions, followed by green and red light, in that order. This figure also shows that, in the blue and green treatments, the unrest is greater in thermoneutrality. Under red light, there was a decrease in unrest with the increase in the wavelength, showing that light wavelength can affect the behavioral response of birds to thermal stress.
Figure 7b reinforces the evidence that the red light influences a greater willingness of birds to feed in all the thermal conditions observed in this study. There is also a tendency to reduce cluster under heat stress conditions in all treatments.
In Table 1 and Table 2, the means comparison test was applied for the crossover results of lighting treatment for periods of the day and thermal environments in which the unrest and cluster behaviors were evaluated. The results confirm the evidence presented in the previous figures.
Under high temperature conditions, birds clustered less [37] and moved less [12], corroborating the results of this study. Birds prefer to feed in the morning [57,58]. In the afternoon, they remain seated, stationary, for longer periods of time. The results of Table 2 and 3 corroborate these observations, because in the morning, there was a greater cluster of birds around the feeder, for all treatments, while in the afternoon, there was less unrest, except under the red light, where the movement of the birds was higher in the afternoon. The presence of food attracts birds to the feeder and, therefore, increases the cluster of birds around it [57,59,60]. This increase in cluster behavior at the arrival of fresh food is also associated with the common bird behavior of feeding in groups [61].

4. Conclusions

The different monochromatic lighting regimes affected bird behaviors of unrest and cluster. It was found that the unrest was greater under blue light, followed by green and red, which indicates that the increase in the wavelength of the light source may be associated with a lower level of expression of the unrest behavior, or even that longer wavelengths have a calming effect on laying hens. However, studies with more birds are needed to prove this hypothesis.
The interaction was verified between the lighting treatments and the thermal environment, suggesting that further studies should be carried out in this area to better under-stand these behavioral changes.

Author Contributions

The conceptualization was made by A.M.F., D.F.P., D.d.L.S. and F.J.d.O.M.; the methodology was written by A.M.F., D.F.P. and D.d.L.S.; the investigation was made by A.M.F., D.F.P. and F.J.d.O.M.; data curation was carried out by A.M.F. and D.F.P.; the statistical analysis was carried out by D.F.P. and D.D.S.; the original draft was written by A.M.F. and D.F.P.; proofreading and editing of the manuscript was carried out by D.F.P. and D.d.L.S.; visualization and supervision was made under D.F.P., D.d.L.S. and F.J.d.O.M. This study is part of the master’s thesis of A.M.F., under the supervision of D.F.P., D.d.L.S. and F.J.d.O.M. All authors have read and agreed to the published version of the manuscript.

Funding

This study was financed in part by the Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil)—Finance Code CAPES/DS Process No. 88881.593696/2020-01.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Brazilian National Council for the Control of Animal Experimentation (CONCEA) and approved by the Sao Paulo State University’s Animal Ethics Committee (protocol number 02/2020, CEUA-UNESP), of Comfort Environmental Laboratory at the School of Science and Engineering from the Sao Paulo State University (UNESP, Brazil).

Data Availability Statement

Data will be available upon request to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Barros, J.S.G.; Barros, T.A.S.; Morais, F.J.O.; Sartor, K.; Rossi, L.A. Proposal of LED-based linear lighting systems with low power consumption and high light distribution for laying hens. Comp. Elect. Agric. 2020, 169, 105218. [Google Scholar] [CrossRef]
  2. Broom, D.M. Animal welfare, concepts and measurement. J. Anim. Sci. 1991, 69, 4167–4175. [Google Scholar] [CrossRef]
  3. Olanrewaju, H.A.; Miller, W.W.; Maslin, W.R.; Collier, S.D.; Purswell, J.L.; Branton, S.L. Effects of light sources and intensity on broilers grown to heavy weights. Part 1, Growth performance, carcass characteristics, and welfare indexes. Poult. Sci. 2016, 95, 727–735. [Google Scholar] [CrossRef]
  4. Soliman, F.N.K.; El-Sabrout, K. Light wavelengths/colors, Future prospects for broiler behavior and production. J. Vet. Behav. 2020, 36, 34–39. [Google Scholar] [CrossRef]
  5. Sultana, S.; Hassan, R.; Choe, H.S.; Ryu, K.S. The effect of monochromatic and mixed LED light colour on the behaviour and fear responses of broiler chicken. Av. Biol. Res. 2013, 6, 207–214. [Google Scholar] [CrossRef]
  6. Janczak, A.M.; Riber, A.B. Review of rearing-related factors affecting the welfare of laying hens. Poult. Sci. 2015, 94, 1454–1469. [Google Scholar] [CrossRef] [PubMed]
  7. Wei, Y.; Zheng, W.; Li, B.; Tong, Q.; Shi, H. Effects of a two-phase mixed color lighting program using light-emitting diode lights on layer chickens during brooding and rearing periods. Poult. Sci. 2020, 99, 4695–4703. [Google Scholar] [CrossRef] [PubMed]
  8. Bessei, W. Welfare of broilers, a review. Worlds Poult. Sci. J. 2006, 62, 455–466. [Google Scholar] [CrossRef]
  9. Blatchford, R.; Klasing, K.C.; Shivaprasad, H.L.; Wakenell, P.S.; Archer, G.S.; Mench, J.A. The effect of light intensity on the behavior, eye and leg health, and immune function of broiler chickens. Poult. Sci. 2009, 88, 20–28. [Google Scholar] [CrossRef]
  10. Jong, I.C.; Hindle, V.A.; Butteworth, A.; Engel, B.; Ferrari, P.; Gunnink, H.; Perez Moya, T.; Tuyttens, F.A.M.; van Reenen, C.G. Simplifying the Welfare Quality® assessment protocol for broiler chicken welfare. Animal 2016, 10, 117–127. [Google Scholar] [CrossRef]
  11. Li, G.; Ji, B.; Li, B.; Shi, Z.; Zhao, Y.; Dou, Y.; Brocato, J. Assessment of layer pullet drinking behaviors under selectable light colors using convolutional neural network. Comp. Elect. Agric. 2020, 172, 105333. [Google Scholar] [CrossRef]
  12. Saeed, M.; Abbas, G.; Alagawany, M.; Kamboh, A.A.; El-Hack, M.E.A.; Khafaga, A.F.; Chao, S. Heat stress management in poultry farms, A comprehensive overview. J. Therm. Biol. 2019, 84, 414–425. [Google Scholar] [CrossRef]
  13. Er, D.; Wang, Z.; Cao, J.; Chen, Y. Effect of Monochromatic Light on the Egg Quality of Laying Hens. J. Appl. Poult. Res. 2007, 16, 605–612. [Google Scholar] [CrossRef]
  14. Li, G.; Li, B.; Zhao, Y.; Shi, Z.; Liu, Y.; Zheng, W. Layer pullet preferences for light colors of light-emitting diodes. Animal 2019, 13, 1245–1251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Mendes, A.S.; Reffati, R.; Restelatto, R.; Paixão, S.J. Visão e iluminação na avicultura moderna. Rev. Bras. Agroc. 2010, 16, 5–13. [Google Scholar] [CrossRef]
  16. Silva, G.F.; Tavares, B.O.; Pereira, D.F. Behavior of laying hens with different monochromatic light sources. Rev. Bras. Eng. Biossistemas 2012, 6, 148–158. [Google Scholar] [CrossRef] [Green Version]
  17. Tsutsui, K.; Ubuka, T.; Bentley, G.E.; Kriegsfeld, L.J. Gonadotropin-inhibitory hormone (GnIH), Discovery, progress and prospect. Gen. Comp. Endoc. 2012, 177, 305–314. [Google Scholar] [CrossRef] [Green Version]
  18. Olanrewaju, H.A.; Thaxton, J.P.; Dozier, W.A.; Purswell, J.; Roush, W.B.; Branton, S.L. A Review of Lighting Programs for Broiler Production. Int. J. Poult. Sci. 2006, 5, 301–308. [Google Scholar] [CrossRef]
  19. Seifert, M.; Baden, T.; Osorio, D. The retinal basis of vision in Chicken. Semin. Cell Dev. Biol. 2020, 106, 106–115. [Google Scholar] [CrossRef]
  20. Olsson, P.; Wilby, D.; Kelber, A. Spatial summation improves bird color vision in low light intensities. Vis. Res. 2017, 130, 1–8. [Google Scholar] [CrossRef]
  21. Yoshizawa, T. The road to color vision: Structure, Evolution and function of chicken and gecko visual pigments. Photochem. Photobiol. 1992, 56, 859–867. [Google Scholar] [CrossRef] [PubMed]
  22. Costa, L.S.; Pereira, D.F.; Bueno, L.G.F.; Pandorfi, H. Some Aspects of Chicken Behavior and Welfare. Braz. J. Poult. Sci. 2012, 14, 159–232. [Google Scholar] [CrossRef] [Green Version]
  23. Oliveira, D.L.; Nascimento, J.W.B.; Camerini, N.L.; Silva, R.C.; Furtado, D.A.; Araujo, T.G.P. Performance and quality of egg laying hens raised in furnished cages and controlled environment. Rev. Bras. Eng. Agríc. Amb. 2014, 18, 1186–1191. [Google Scholar] [CrossRef] [Green Version]
  24. Vercese, F.; Garcia, E.A.; Sartori, J.R.; Silva, A.P.; Faitarone, A.B.G.; Berto, D.A.; Molino, A.B.; Pelícia, K. Performance and Egg Quality of Japanese Quails Submitted to Cyclic Heat Stress. Braz. J. Poult. Sci. 2012, 14, 37–41. [Google Scholar] [CrossRef] [Green Version]
  25. Yousaf, A.; Jabbar, A.; Rajput, N.; Memon, A.; Shahnawaz, R.; Mukhtar, N.; Farooq, F.; Abbas, M.; Khalil, R. Effect of Environmental Heat Stress on Performance and Carcass Yield of Broiler Chicks. World’s Vet. J. 2019, 9, 26–30. [Google Scholar] [CrossRef]
  26. Abbas, A.O.; El-dein, A.K.A.; Desoky, A.A.; Galal, M.A.A. The Effects of Photoperiod Programs on Broiler Chicken Performance and Immune Response. Int. J. Poult. Sci. 2008, 7, 665–671. [Google Scholar] [CrossRef] [Green Version]
  27. Lara, L.J.; Rostagno, M.H. Impact of Heat Stress on Poultry Production. Animal 2013, 3, 356–369. [Google Scholar] [CrossRef]
  28. Mack, L.A.; Felver-Gant, J.N.; Dennis, R.L.; Cheng, H.W. Genetic variations alter production and behavioral responses following heat stress in 2 strains of laying hens. Poult. Sci. 2013, 92, 285–294. [Google Scholar] [CrossRef] [PubMed]
  29. Selye, H. Forty years of stress research, principal remaining problems and misconceptions. Can. Med. Assoc. J. 1976, 115, 53–56. Available online: https//pubmed.ncbi.nlm.nih.gov/1277062/ (accessed on 1 April 2021). [PubMed]
  30. Aydin, A.; Cangar, O.; Eren Ozcan, S.; Bahr, C.; Berckmans, D. Application of a fully automatic analysis tool to assess the activity of broiler chickens with different gait scores. Comp. Elect. Agric. 2010, 73, 194–199. [Google Scholar] [CrossRef]
  31. Barron, D.G.; Brawn, J.D.; Weatherhead, P.J. Meta-analysis of transmitter effects on avian behaviour and ecology. Met. Ecol. Evol. 2010, 1, 180–187. [Google Scholar] [CrossRef]
  32. Li, N.; Ren, Z.; Li, D.; Zeng, L. Review, Automated techniques for monitoring the behaviour and welfare of broilers and laying hens, Towards the goal of precision livestock farming. Animal 2020, 14, 617–625. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Siegford, J.M.; Berezowski, J.; Biswas, S.K.; Daigle, C.L.; Gebhardt-Henrich, S.G.; Hernandez, C.E.; Thurner, S.; Toscano, M.J. Assessing Activity and Location of Individual Laying Hens in Large Groups Using Modern Technology. Animal 2016, 6, 10. [Google Scholar] [CrossRef] [PubMed]
  34. Astill, J.; Dara, R.A.; Fraser, E.D.G.; Roberts, B.; Sharif, S. Smart poultry management, Smart sensors, big data, and the internet of things. Comp. Elect. Agric. 2020, 170, 105291. [Google Scholar] [CrossRef]
  35. Saltoratto, A.Y.K.; Silva, F.A.; Camargo, A.C.A.C.; Silva, P.C.G.; Souza, L.F.A. Monitoring of aviculture from computer vision techniques. Colloq. Exactarum 2013, 5, 47–66. [Google Scholar] [CrossRef]
  36. Dawkins, M.S.; Roberts, S.J.; Cain, R.J.; Nickson, T.; Donnelly, C.A. Early warning of footpad dermatitis and hockburn in broiler chicken flocks using optical flow, bodyweight and water consumption. Vet. Rec. 2017, 180, 499. [Google Scholar] [CrossRef] [Green Version]
  37. Pereira, D.F.; Lopes, F.A.L.; Gabriel Filho, L.R.A.; Salgado, D.D.; Neto, M.M. Cluster index for estimating thermal poultry stress (gallus gallus domesticus). Comp. Elect. Agric. 2020, 177, 105704. [Google Scholar] [CrossRef]
  38. Shapiro, L.; Stockman, G. Computer Vision; Prentice Hall: Hoboken, NJ, USA, 2001. [Google Scholar]
  39. Rajan, A.J.; Jayakrishna, K.; Vignesh, T.; Chandradass, J.; Kannan, T.T.M. Development of computer vision for inspection of bolt using convolutional neural network. Mat. Today Proc. J. 2021, in press. [Google Scholar] [CrossRef]
  40. Del Valle, J.E.; Pereira, D.F.; Mollo Neto, M.; Gabriel Filho, L.R.A.; Salgado, D.D. Unrest index for estimating termal conforto f poultry birds (Gallus gallus domesticus) using computer vision techniques. Biosyst. Eng. 2021, 206, 123–134. [Google Scholar] [CrossRef]
  41. Zupan, M.; Kruschwitz, A.; Huber-Eicher, B. The influence of light intensity during early exposure to colours on the choice of nest colours by laying hens. Appl. Anim. Behav. Sci. 2007, 105, 154–164. [Google Scholar] [CrossRef]
  42. Pires, M.F.A.; Ferreira, A.M.; Saturnino, H.M.; Teodoro, R.L. Gestation rate of Holstein females confined in free stall, during the summer and winter. Arq. Bras. Med. Vet. Zoot. 2002, 54, 57–63. [Google Scholar] [CrossRef]
  43. Biaggioni, M.A.M.; Mattos, J.M.; Jasper, S.P.; Targa, L.A. Thermal performance in layer hen house with natural acclimatization. Semina Ciências Agrárias 2008, 29, 961–972. Available online: https//repositorio.unesp.br/handle/11449/5178 (accessed on 1 April 2021). [CrossRef] [Green Version]
  44. Bizeray, D.; Estevez, I.; Leterrier, C.; Faure, J.M. Effects of increasing environmental complexity on the physical activity of broiler chickens. Appl. Anim. Behav. Sci. 2002, 79, 27–41. [Google Scholar] [CrossRef]
  45. Pereira, D.F.; Batista, E.S.; Sanches, F.T.; Gabriel Filho, L.R.A.; Bueno, L.G.F. Behavioral differences of laying hens reared in different thermal environments. Energ. Agric. 2015, 30, 33–40. [Google Scholar] [CrossRef] [Green Version]
  46. Tinôco, I.F.F. A granja de frangos de corte. In Produção de Frangos de Corte; Mendes, A.A., Nääs, I.A., Macari, M., Eds.; FACTA: Campinas, Brasil, 2004. [Google Scholar]
  47. Hesham, M.; El Shereen, A.; Enas, S. Impact of different light colors in behavior, welfare parameters and growth performance of Fayoumi broiler chickens strain. J. Hell Vet. Med. Soc. 2018, 69, 1–9. [Google Scholar] [CrossRef] [Green Version]
  48. Wichman, A.; de Groot, R.; Håstad, O.; Wall, H.; Rubene, D. Influence of Different Light Spectrums on Behaviour and Welfare in Laying Hens. Animals 2021, 11, 924. [Google Scholar] [CrossRef] [PubMed]
  49. Huber-Eicher, B.; Suter, A.; Spring-Stähli, P. Effects of colored light-emitting diode illumination on behavior and performance of laying hens. Poult. Sci. 2013, 92, 869–873. [Google Scholar] [CrossRef] [PubMed]
  50. Svobodová, J.; Tůmová, E.; Popelářová, E.; Chodová, D. Effect of light colour on egg production Effect of light colour on egg production. Czech J. Anim. Sci. 2015, 60, 550–556. [Google Scholar] [CrossRef] [Green Version]
  51. Çapar Akyüz, H.; Onbaşilar, E.E. Light Wavelength on Different Poultry Species. World’s Poult. Sci. J. 2017, 74, 79–88. [Google Scholar] [CrossRef]
  52. Archer, G.S. Animal Well-Being and Behavior How Does Red Light Affect Layer Production, Fear, and Stress? Poult. Sci. 2019, 98, 3–8. [Google Scholar] [CrossRef]
  53. Marino, L. Thinking chickens: A review of cognition, emotion, and behavior in the domestic Chicken. Anim. Cogn. 2017, 20, 127–147. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Prescott, N.B.; Wathes, C.M. Spectral sensitivity of the domestic fowl (Gallus g. domesticus). Br. Poult. Sci. 1999, 40, 332–339. [Google Scholar] [CrossRef] [PubMed]
  55. Collins, S.; Forkman, B.; Kristensen, H.H.; Sandoe, P.; Hocking, P.M. Investigating the importance of vision in poultry: Comparing the behaviour of blind and sighted chickens. Appl. Anim. Behav. Sci. 2011, 133, 60–69. [Google Scholar] [CrossRef] [Green Version]
  56. Lewis, P.D.; Morris, T.R. Poultry and Coloured Light. World’s Poult. Sci. J. 2000, 56, 203–207. [Google Scholar] [CrossRef]
  57. Barbosa Filho, J.A.D.; Silva, I.J.O.; Silva, M.A.N.; Silva, C.J.M. Behavior evaluation of laying hens using image sequences. Eng. Agríc. 2007, 27, 93–99. [Google Scholar] [CrossRef] [Green Version]
  58. Farias, M.R.S.; Leite, S.C.B.; Vasconcelos, A.M.; Silva, T.A.G.; Leitão, A.M.F.; Sena, T.L.; Pacheco, D.B.; Abreu, C.G.; Silveira, R.M.F. Thermoregulatory, behavioral and productive responses of laying hens supplemented with different types and dosages of phytases raised in a hot environment, An integrative approach. J. Therm. Biol. 2020, 94, 102773. [Google Scholar] [CrossRef] [PubMed]
  59. Fernández, A.P.; Norton, T.; Tullo, E.; Hertem, T.V.; Youssef, A.; Exadaktylos, V.; Vandren, E.; Guarino, M.; Berckmans, D. Real-time monitoring of broiler flock’s welfare status using camera-based technology. Biosyst. Eng. 2018, 173, 103–114. [Google Scholar] [CrossRef]
  60. Sirovnik, J.; Würbel, H.; Toscano, M.J. Feeder space affects access to the feeder, aggression, and feed conversion in laying hens in an aviary system. Appl. Anim. Behav. Sci. 2018, 198, 75–82. [Google Scholar] [CrossRef]
  61. Oliveira, J.L.; Xin, H.; Wu, H. Impact of feeder space on laying hen feeding behavior and production performance in enriched colony housing. Animal 2018, 13, 374–383. [Google Scholar] [CrossRef]
Figure 1. Experimental houses used in the study: (a) layout of the nests, feeders and drinking fountains inside the sheds; (b) external view of an sheds.
Figure 1. Experimental houses used in the study: (a) layout of the nests, feeders and drinking fountains inside the sheds; (b) external view of an sheds.
Animals 11 02017 g001
Figure 2. Luminous spectra of the lamps used in the experiment: (a) Model TKL Colors—Blue; (b) Model TKL Colors—Green; (c) Model TKL Colors—Red. (Data provided by the manufacturer).
Figure 2. Luminous spectra of the lamps used in the experiment: (a) Model TKL Colors—Blue; (b) Model TKL Colors—Green; (c) Model TKL Colors—Red. (Data provided by the manufacturer).
Animals 11 02017 g002
Figure 3. Example of segmentation of an image: (a) Original cropped image; (b) segmented image.
Figure 3. Example of segmentation of an image: (a) Original cropped image; (b) segmented image.
Animals 11 02017 g003
Figure 4. THI averages calculated for each hour, during the period of the observational study.
Figure 4. THI averages calculated for each hour, during the period of the observational study.
Animals 11 02017 g004
Figure 5. Confidence intervals of the mean for the (a) unrest index and (b) cluster index verified for the blue, green, and red light treatments.
Figure 5. Confidence intervals of the mean for the (a) unrest index and (b) cluster index verified for the blue, green, and red light treatments.
Animals 11 02017 g005
Figure 6. Average daily values for (a) unrest index and (b) cluster index, referring to samples of 15 min videos recorded and analyzed by period of the day.
Figure 6. Average daily values for (a) unrest index and (b) cluster index, referring to samples of 15 min videos recorded and analyzed by period of the day.
Animals 11 02017 g006
Figure 7. Interaction for (a) unrest and (b) cluster behaviors in relation to comfort, according to treatment type.
Figure 7. Interaction for (a) unrest and (b) cluster behaviors in relation to comfort, according to treatment type.
Animals 11 02017 g007
Table 1. Unrest index for each treatment between the levels of the variables: period of the day, production cycle, and thermal comfort.
Table 1. Unrest index for each treatment between the levels of the variables: period of the day, production cycle, and thermal comfort.
Treatment
BlueGreenRed
Period of dayMorning40.0 Aa34.7 Ab32.0 Bc
Afternoon38.3 Ba31.8 Bc33.4 Ab
ComfortCold Stress38.1 Ba31.2 Bc35.2 Ab
Comfort40.7 Aa35.3 Ab31.5 Bc
Heat Stress38.6 Ba33.2 Ab31.4 Bc
Lowercase letters (a,b) indicate differences between the lighting treatments (columns) and uppercase letters (A,B) indicate differences between the lines of the same variable, by the Tukey test at 5% significance.
Table 2. Cluster index for each treatment between the levels of the variables: period of the day, production cycle, and thermal comfort.
Table 2. Cluster index for each treatment between the levels of the variables: period of the day, production cycle, and thermal comfort.
Treatment
BlueGreenRed
Period of dayMorning3.16 Ab3.15 Ab6.18 Aa
Afternoon2.82 Bb2.54 Bb2.96 Ba
ComfortCold Stress3.07 b2.64 Bc4.66 Aa
Comfort2.98 b2.92 Ac4.79 Aa
Heat Stress2.91 b2.98 Ab4.26 Ba
Lowercase letters (a,b) indicate differences between the lighting treatments (columns) and uppercase letters (A,B) indicate differences between the lines of the same variable, by the Tukey test at 5% significance.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Fernandes, A.M.; de Lucca Sartori, D.; de Oliveira Morais, F.J.; Salgado, D.D.; Pereira, D.F. Analysis of Cluster and Unrest Behaviors of Laying Hens Housed under Different Thermal Conditions and Light Wave Length. Animals 2021, 11, 2017. https://doi.org/10.3390/ani11072017

AMA Style

Fernandes AM, de Lucca Sartori D, de Oliveira Morais FJ, Salgado DD, Pereira DF. Analysis of Cluster and Unrest Behaviors of Laying Hens Housed under Different Thermal Conditions and Light Wave Length. Animals. 2021; 11(7):2017. https://doi.org/10.3390/ani11072017

Chicago/Turabian Style

Fernandes, Aline Mirella, Diogo de Lucca Sartori, Flávio José de Oliveira Morais, Douglas D’Alessandro Salgado, and Danilo Florentino Pereira. 2021. "Analysis of Cluster and Unrest Behaviors of Laying Hens Housed under Different Thermal Conditions and Light Wave Length" Animals 11, no. 7: 2017. https://doi.org/10.3390/ani11072017

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop