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Review

Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review

by
Serena Vitaliano
,
Provvidenza Rita D’Urso
*,
Claudia Arcidiacono
and
Giovanni Cascone
Department of Agriculture, Food and Environment (Di3A), Building and Land Engineering Section, University of Catania, Via S. Sofia 100, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Agriculture 2024, 14(7), 1148; https://doi.org/10.3390/agriculture14071148
Submission received: 29 May 2024 / Revised: 4 July 2024 / Accepted: 10 July 2024 / Published: 15 July 2024
(This article belongs to the Special Issue Greenhouse Gas Emissions in Livestock Production)

Abstract

:
In this systematic review, the PRISMA method was applied to examine publications from the last two decades that have investigated the noxious gaseous emissions from dairy barns. The aim was to analyse the outcomes from literature studies estimating the quantities of polluting gases produced in dairy barns, with a specific focus on ammonia (NH3) emissions. Various studies, among those reviewed, have used mixed effects models, mass balance approaches and dispersion methods, revealing significant variability due to different experimental protocols and environmental contexts. Key challenges include the lack of standardised measurement techniques and the limited geographical coverage of research, particularly in climatically extreme regions. This review also explores proposed methods to reduce the associated effects through mitigation strategies. Estimation of NH3 emissions is significantly influenced by the complex interactions between several factors; including animal management practices, such as controlling animal behavioural activities; manure management, like utilising practices for floor manure removal; the type of structure housing the animals, whether it is naturally or mechanically ventilated; and environmental conditions, such as the effects of temperature, wind speed, relative humidity, and ventilation rate on NH3 release in the barn. These influential components have been considered by researchers and targeted mitigation strategies have been identified. Despite growing attention to the issue, gaps in the scientific literature were identified and discussed, particularly regarding the analysis of mitigation strategies and their long-term impacts (i.e., environmental, economic and productivity-wise). The purpose of this review is to help improve research into sustainable agricultural practices and technological innovations, which are fundamental to reducing NH3 emissions and improving air quality in agricultural environments.

Graphical Abstract

1. Introduction

The increasing demand for food products (meat, milk, and its derivatives) necessitates efficient management of livestock farming systems to mitigate negative environmental impacts. The formation of polluting gases and their subsequent volatilisation and emission into the atmosphere cause some of these negative environmental impacts [1].
Methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2), hydrogen sulfide (H2S), sulfur dioxide (SO2), and ammonia (NH3) are all harmful gases in livestock farming. These products are not only detrimental to air, water, and soil, but also to the health of humans and animals [2]; for instance, CH4 reacts with other atmospheric pollutants to form ozone, which can adversely affect human health. Additionally, CH4 emissions can contaminate both groundwater and surface water, particularly from wastewater treatment facilities. In soil environments, CH4 contributes to degradation and fertility loss by altering microbial communities and nutrient cycling processes [3,4]. Consequently, they are a significant cause for concern and are often the subject of research aiming to study impactful events and find valid and environmentally friendly solutions. In detail, NH3 is not a greenhouse gas, but its transformation into other nitrogen compounds, such as N2O, can contribute to the greenhouse effect. NH3 is responsible for eutrophication and soil acidification as well as it is the precursory of particulate matter that affects the respiratory system in humans [5]. The production of this gas in dairy barns primarily occurs through the microbial decomposition of nitrogen-containing compounds in animal waste, particularly urine and faeces.
Livestock activities produce 10–12% of global emissions, with almost 30% coming from dairy cattle production systems [6]. In Europe, cattle represent the main emitter of NH3 and CH4 emissions with a contribution of 51.3% and 79%, respectively [7].
In the last twenty years, the literature has focused on NH3 concentrations and emissions inside livestock housing buildings, often using case study experiments, various measurement methods, and emission models. Various literature reviews [8,9,10,11,12,13] have analysed the presence of polluting gases in livestock farming though they did not include the study of strategies to reduce pollution from intensive breeding farms among their research objectives.
Other studies [14,15] have focused only on one specific mitigation strategy (i.e., Precision Livestock Farming (PLF) and acidification, respectively). The review by Hou et al. [16] quantified emissions and examined different potential strategies to decrease them; however, similarly to Loyon et al.’s [17] study that analysed existing Best Available Techniques (BAT), research results were compiled until 2015. The considerations and conclusions of these publications need to be updated to reflect new knowledge and scientific innovations, particularly regarding the sustainability of feasible practices.
Based on the literature analysis described above, currently, there is no updated systematic review of the literature that simultaneously aims to improve the understanding of the formation and development processes of harmful gases in barns, related emissions, and the variables that influence them, as well as identify techniques to mitigate their impacts.
This study aims at filling this gap in the literature, for the specific case study of NH3 in dairy houses and the focus on building design and management. The objectives are (i) to give an overview of the outcomes of various scientific studies that have been conducted until now; (ii) to highlight common deductions and any heterogeneity in results, thus; (iii) to offer valid and updated basic knowledge for reference and further investigation on globally significant themes such as caring for and respecting the planet and addressing pollution, conforming to the objectives outlined in the “Agenda 2030” [18].

2. Materials and Methods

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [19] were used to conduct this systematic review, considering mitigation strategies and examining the scientific literature on the concentrations and emissions of polluting gases inside structures for dairy cattle farming.
The structured approach of PRISMA provides clarity and transparency, ensuring systematic identification, screening, and inclusion of relevant studies, compared to other review models. In detail, PRISMA’s rigorous methodology enables comprehensive synthesis and analysis of evidence, facilitating robust conclusions and informed decision-making, compared to the qualitative synthesis of Traditional narrative review or the conceptual perspective of the Critical review method. By adhering to PRISMA guidelines, bias can be minimised, and reproducibility enhanced.
The research was carried out utilizing the “Scopus” bibliographic database. Specific combinations of keywords were employed to limit the analysis of the state of the art and highlight only publications deemed relevant and useful for the review’s purpose. The “Scopus Keywords” used were selected from the title, abstract, or keyword sections of the papers. They included: “(dairy OR cattle OR cows) AND (ammonia OR NH3) AND emission* AND (buildings OR barns OR housing) AND (mitigat* OR strategy* OR floor OR ventilation*)”. This combination led to a total of 301 documents.
Inclusion and exclusion criteria were then used to narrow down the literature selection. The results were limited to articles or reviews (based on the “document type” categorisation in Scopus) written in English, and with a publishing year limitation of the last 20 years to provide an updated literature analysis. Furthermore, the subject area was limited to areas such as Agricultural and Biological Science and Environmental Science. Scopus Keyword limitations were applied to avoid unrelated words such as poultry or swine, and out-of-the-scope topics such as recycling or climate models and economic considerations. Additionally, documents for which access was not permitted through the institutional credentials of our affiliated institution were excluded from the study.
No limitations were set regarding the analytical approach and methods used, as well as the geographical coverage. These limitations reduced the number of publications from 301 to 225. Concerning the analysis of gas concentrations in livestock buildings, only publications specifically focused on dairy cattle farms (or dairy cattle and other species when considered in the same work) were selected. The focus of this study was set more on the analysis of mitigation methods related to livestock housing than on the metabolic state of the animal and its diet. Therefore, only scientific papers that investigated NH3 production (or NH3 and other pollutant gases, if present in the same study), estimated emissions and evaluated techniques and methods for mitigating environmental impacts, primarily from the perspective of housing design and management, were considered.
From the 225 papers, a further refinement based on the specific aim of this review produced a set of 21 papers. Subsequently, in line with the objectives of the review, the research and literature analysis was extended through citation searching, which identified 6 additional documents specifically addressing emission factors (EFs) and mitigation strategies (Figure 1).

3. Results

Based on the described methodology, a group of 27 studies was analysed in this systematic review, consisting mainly of scientific articles (64%), meta-analyses (16%) and reviews (20%). The research methods used in these studies included conceptual studies (50%), where primary data sources were derived from the existing scientific literature and empirical studies (50%), where information was obtained from field measurements and data collected through direct observation of phenomena. Geographically, the studies covered various countries in Europe [20,21], Asia [22,23] and North America [24,25] (Figure 2).
The reviewed studies dealt with concentrations of gases considered harmful to the environment and health, with a particular focus on NH3. They analysed EFs and emission rates within livestock buildings and proposed sustainable solutions to limit the resulting pollution.
Publications were subdivided into two clusters. The first cluster included studies that analysed and quantified NH3 production and emissions. Through a review of the state of the art of experiments and estimation models, these studies evaluated emission rates and factors. This cluster allowed the examination of the relationships between emissions and the livestock environment, climatic conditions [26,27], and house management [28]; however, their influence is consistently evaluated at the building level, as it represents the core focus of the study.
In the second cluster, the review focused on strategies [16], technologies [14] and materials [20] that have been studied to reduce the negative impacts of livestock farming.

3.1. Investigation of Potential Factors Influencing Emissions, Examination of Concentrations within the Barn, and Estimation of Ammonia Dispersals

Various studies [16,22,29] have focused on the quantitative assessment of NH3 emissions from livestock housing, as well as from manure storage and its final application to the soil. In this review, the phase of NH3 production that takes place inside the livestock building was particularly considered and analysed (Table 1).
Table 1 shows the results of the studies analysed in this review paper. In some cases, the values of the NH3 emission ranges taken from the original data reported, expressed in “LU” (Livestock unit) or “HPU” (Heat production unit), were converted into values expressed in g AU−1 d−1 (where animal unit AU is equivalent to 500 kg body mass).
It is well-documented in the scientific literature that various factors must be considered when evaluating the dynamics that promote NH3 emissions. These factors include, for instance, the type of diet administered to the animal, milk production, cattle breed, and the methodology and instrument used to measure gas concentrations [39]. Nonetheless, in the present review, particular attention has been given to building-related factors, which, according to the current state of the art, are among the most influential [11,27,40,41,42,43]. These include barn ventilation type, the category of the barn and the technological features of the structure, flooring type, and the strategy for cleaning the barn floor.
In order to be able to identify under which conditions the lowest emissions occur, a comparative analysis was carried out between naturally ventilated (NV) barns with different types of floors and manure management systems: NV barns with solid flooring and scraper cleaning system, NV barns with slatted flooring and scraper cleaning system, NV barns with solid flooring and flushing cleaning system, and NV barns with slatted flooring and flushing cleaning system (Figure 3).
It is important to point out that the results presented take into account different studies that certainly have differences among them, in terms of experimental methodology, location of the study site, different intervals and frequencies of floor cleaning, and different methodologies and tools for surveying emissions from barns, and the significance of these factors has been highlighted by various authors [42,43]. Therefore, comparisons among these values should be carefully evaluated. In order to analyse the experiments that compared the same flooring and manure handling conditions (i.e., NV-slatted-scraped and NV-solid-scraped), emission intervals were highlighted in Figure 3 with the same pattern for the same experiment.
The results of these analyses do not allow for a direct determination of which flooring type has the greatest influence on emissions. However, the impact of flooring type on emissions appears to be modulated by the cleaning strategy employed. Specifically, when a scraper is used for floor cleaning, there is no significant difference in NH3 emissions between solid and slatted floors. Conversely, the use of a flushed system results in significantly lower NH3 emissions with slatted flooring compared to solid flooring.
It is important for future research to deal with the standardisation of results, through the use of databases or precise standards of experimental test execution, along with statistical analyses to corroborate the conclusions drawn from the analyses.
To a better understanding of the results, several factors that have a significant influence on the estimation of the NH3 emissions must be taken into account. The main determinant is the decomposition of urea excreted in animal urine, which can lead to soil acidification and alter the balance of terrestrial and aquatic ecosystems [20]. Among the publications reviewed, a significant group observed phenomena that directly affect EFs and determined emission rates.
The purpose of the studies by Sanchis et al. [11] and Qu et al. [9] was to quantitatively define the effect of temperature, wind speed, relative humidity, and ventilation rate on NH3 release in the barn, conducting a meta-analysis. Different climatic conditions (i.e., warm, transition and cold) and barns (i.e., naturally ventilated (NV), and mechanically ventilated (MV) barns) were studied. The analysis of EFs and rates showed a significant effect of temperature, while neither wind speed nor relative humidity had a statistically significant effect on NH3 emissions.
Both publications claim that NH3 emissions increase with increasing air temperature. These results differ from those of D’Urso et al. [44], who suggested that relative humidity is a conditioning factor in addition to air temperature. A more humid environment can contribute to NH3 formation through processes such as urea hydrolysis in urine. Air velocity can reduce local concentrations but contributes to gas dispersion and dilution in the environment.
Similar assessments were found in the study by Wu et al. [27], who measured NH3 concentrations in two semi-open dairy barns. A multiple linear regression model was used to describe the relationships between NH3 emission and influencing factors such as wind direction, wind speed, outside air temperature, inside air temperature, and inside air velocity. It was found that an increase in wind speed has a positive effect on NH3 emissions, as increased ventilation promotes dispersion into the environment. An increase in external air temperature also affects the increase in emissions, as higher temperatures favour biochemical processes that contribute to the emission increase.
Despite the individual intensifications of wind speed and outside air temperature, together they can have a negative effect on NH3 emissions [27]. These results are confirmed by two studies on different types of livestock buildings, i.e., NV and MV structures [24,31].
Tabase et al. [31] analysed internal climatic conditions in buildings, both MV and NV, focusing on variables such as temperature, humidity, and air exchange rate. Their study demonstrated that high relative humidity contributes to increased NH3 volatilization in poorly ventilated structures, and diurnal variations in air exchange rates reduce gas concentrations in buildings. During the daytime, elevated air exchange rates driven by factors like increased wind speed and temperature fluctuations, resulting in lower gas concentrations due to enhanced pollutant dispersion; at night or in the early morning, reduced air exchange rates can lead to an accumulation of gases, maintaining higher atmospheric concentrations [31]. Additionally, this study makes assessments regarding manure management, stating that this practice significantly influences emissions. Specifically, it was found that floor cleaning with robotic scrapers reduces NH3 emissions more than manual cleaning. In the study by Wang et al. [24], the distribution of NH3 concentration was evaluated by using low-cost and accurate instruments in an NV barn, finding dependence on environmental factors such as wind speed and prevailing wind direction, sunlight, and the cows’ activity in the barn.
Other studies that were considered in this review [23,26,32] detected NH3 concentrations and estimated emission rates (using different methodologies such as the CO2 mass balance method or regression models). Similarly to other studies, they concluded that gas emissions are correlated with temperature and relative humidity. Based on these studies, it has been possible to highlight an amplification of NH3 emissions during the day, correlated with stronger winds and lower humidity, and that a lower internal temperature significantly reduces emissions according to an exponential function [32]. A further outcome was the significant seasonal variation in NH3 emissions, which are higher in spring and summer than in winter, with peaks linked to animal activity during meals and milking routines [26]. The enhanced concentration of NH3 was the highest in these seasons, primarily due to the higher temperatures which accelerate the release of NH3 from manure. This seasonal effect on NH3 emissions is supported by the correlation between indoor and outdoor temperatures, where elevated temperatures result in increased NH3 emissions, while lower winter temperatures lead to reduced emissions [26].
The effects of animal activity and air temperature inside the barn were analysed in the study by Ngwabie et al. [33] who carried out the measurements of an NV building that had a free-stall system with a solid concrete floor mechanically cleaned every hour. This publication claims that NH3 emissions increased as the indoor temperature of the building increased since the temperature of the manure is critical for emissions. Higher indoor temperatures probably lead to higher NH3 emissions because of the relationship between air and manure temperatures and the relationship between air temperature and ventilation rate through natural convection.
Wind and relative humidity are also conditioning factors; in fact, wind can affect the natural ventilation of the building, contributing to the dispersion of gases emitted by animals and manure; relative humidity can influence the formation of NH3 and other gaseous compounds within the building, as high humidity conditions can promote certain chemical reactions and emission processes [33]. In addition, it was observed that NH3 emissions showed significant variations throughout the day, with two peaks probably related to feeding routines, which supports the thesis that cattle activity is an influential element in gas production.
Similar findings were obtained in the studies carried out by Maasikmets et al. [29] and Bougouin et al. [8], who employed modelling to quantify the main relationships between EF and influencing factors. Maasikmets et al. [29] stated that NH3 emissions from livestock production result from a complex intertwining of various factors related to animal and manure management, the type of facility housing the animals, and environmental conditions. According to previous studies it was observed that the rate of NH3 emission depends on temperature, with lower emissions occurring during cooler periods, such as autumn. Two farms were selected for the experiment: the first with straw bedding and a solid manure system removed three times a day, and the second with free stall housing and a liquid manure system removed several times a day through channels and pumps. Gases were measured at the floor surface and, considering temperature and relative humidity, the EFs for NH3 were highest in the straw-bedded barn, where cattle were kept on straw beds mixed with manure. The reasons for this difference could also include feeding management.
Bougouin et al. [8], showed a positive correlation between outdoor temperature and NH3 emissions, with a tendency for emissions to increase as outdoor temperature increases. In particular, NH3 emissions were found to be higher during periods of higher temperatures, such as in summer. But unlike previous studies in this trial, it was found that wind speed and relative humidity had no significant effect on NH3 emissions.
It has also been observed that barns with solid floors have higher NH3 emissions than those with slatted floors. In barns with solid floors, this is due to the stagnation of urine and faeces mix, whereas in slatted barns, urine can flow through the cracks and separate from faeces, thereby reducing NH3 production.
Studies conducted by some authors [28,34] investigated the management practices of barns. However, they use different approaches and methodologies to achieve their results. In detail, Gilhespy et al. [28] examined the relationship between emissions and time cattle spend in barns, quantifying NH3 losses from livestock housing over a measurement period of about one year. Considering the measurements taken over two consecutive days in the experimental study, it was observed that the emission rates were higher during the first 24 h. It was found that NH3 loss was not directly proportional to the amount of time cattle spent in the polytunnel utilised in the experiment. Emissions were higher when calculated over 24 h of measurement than when calculated over 48 h, because emissions continued after the animals were moved from the polytunnel, and emission rates decreased over the subsequent 24 h. As a result, emissions as a percentage of TAN emitted decreased with increasing occupancy. To significantly reduce airborne NH3, the research concluded that cattle should not occupy pens for more than six hours. Rzeźnik et al. [34] instead, considered and compared different manure removal systems, building types and resting areas. The evaluation of the results showed the dependence of emissions on these factors. It was found that barns with natural ventilation systems and partially controlled side openings by curtains had lower NH3 emissions than barns with windows that could be opened. Furthermore, barns with slatted floor manure removal systems had lower NH3 emissions than barns with scraper or chain manure removal systems.
Assessing NH3 emissions in livestock housing systems, by focusing on the main types of open housing buildings with natural ventilation, was the aim of the studies by Pereira et al. [35] and Zhang et al. [30]. Differences between the three buildings studied included variations in stall layout, floor type, ventilation opening placement, manure management practices and overall size. It was found that NH3 emissions varied considerably depending on the type of building as well as the management practices adopted; the differences observed could be attributed to various structural, climatic and management factors specific to each building. These differences were also observed in the review by Rzeźnik and Mielcarek (2016) [10], which examined research articles containing emissions data published between 1997 and 2015. The study shows that livestock housing systems can have a significant impact on gas emissions. It mentions systems with litter and systems without litter (with fully or partially slatted floors). It was found that litter-free housing is characterised by lower NH3 emissions, but also by lower animal welfare standards compared to litter systems.
Ventilation also influences emissions, as it helps remove moisture and heat from livestock buildings, thereby affecting air quality. The study by Rong et al. [45] analysed this influential factor, studying the impacts of climate parameters on gaseous emissions, air exchange rate and concentrations in a dairy building with hybrid ventilation. This type of ventilation refers to a combined natural and mechanical ventilation system; in a barn utilising hybrid ventilation, the structure is equipped with openings to facilitate natural airflow and supplemented by fans for mechanical ventilation.
The results showed that the hybrid ventilation system collected 64–83% of NH3 emissions and 10–50% of CH4 emissions, thus helping to reduce emissions compared to NV buildings. In addition, it was found that NH3 emissions through natural ventilation were about 60% lower than the values reported in the literature.
Recently, scientific studies have focused on investigating EFs and creating EF databases. Sommer et al. [12] discussed the development of new EFs for NH3 derived from manure management. Data from 276 studies, mainly from peer-reviewed scientific journals, were used to calculate new EFs. The EMEP/EEA Air Pollutant Emission Inventory Guide provides EFs to support the compilation of emission inventories. New EFs have been developed for different phases of manure management, showing a wide variability and highlighting the influence of many factors such as management practices, animal species, climate and housing conditions. The adoption of these new EFs will influence national NH3 emission estimates, as variations in EFs will affect the estimation methods used in national inventories.
Hassouna et al. [36] have developed a global database (i.e., the DATAMAN Housing and Storage databases) of EFs for NH3, CH4 and N2O from livestock housing and manure storage. These EFs were provided to improve the accuracy of national inventories, conduct environmental assessments, and identify mitigation techniques and influencing parameters. The DATAMAN database was developed by collecting relevant information for different animal categories, manure types, livestock buildings, outdoor storage and climatic conditions from published studies, conference proceedings and existing databases published between 1995 and 2021. The data were collected and screened for suitability for inclusion in the database. The data were then converted into EFs using a methodology specifically developed for this purpose. The conclusions of the document highlighted the lack of studies in some important livestock production areas and the need to standardise future study approaches and harmonies data from existing studies. In accordance with this statement, Çinar et al. [38] conducted a study with the aim of improving knowledge and reducing uncertainty on the effects of influential factors, analysing the emission rates of NH3 and GHG collected in the DATAMAN database. This study agreed with the previous one on the importance of collecting data to better understand variations in emissions and increase the accuracy of emission models. This research found that NH3 emissions are affected by environmental factors such as relative humidity and temperature, as well as by the characteristics of the livestock housing system, showing NH3 emission rates ranging from 0.036 to 146.7 g NH3 LU−1 d−1.
After analysing the results of the aforementioned studies, this review aims to evaluate the relation between specific factors influencing NH3 emissions within naturally ventilated buildings for dairy cattle housing, and the highest concentration values reported in the literature. The first investigated relation is between the highest recorded NH3 concentration values in the barn and the number of animals housed within the barn for various building-related conditions (Figure 4, Figure 5 and Figure 6).
Observing the data, a potential relationship between the number of animals and the peak of recorded values emerged. Specifically, it was noted that the highest the number of animals the highest is the maximum concentration of NH3.
Equally, when the number of animals decreases, a similar trend was observed in the maximum values of NH3 concentration.
The second relationship that was investigated was the milk yield and the highest values of recorded NH3 concentrations in the barn (Figure 7, Figure 8 and Figure 9).
The data analysis revealed a possible relationship between the number of animals and the maximum recorded values. Notably, when milk yield peaks, the highest concentration value tends to increase. Likewise, as milk yield decreases, the maximum value of concentrations declines.
The last relationship that was studied was the relationship between the highest NH3 concentration values recorded in the barn and the average temperature measured inside the building (Figure 10, Figure 11 and Figure 12).
Although in Figure 10 there appears to be no direct dependency between the maximum recorded value range and the internal temperature, by examining Figure 11 and Figure 12, it is evident that as the temperature increases, the concentrations also rise, which confirms the assertions of many of the studies described [9,11,23,26,29,30,32,33,38].
These results indicate that NH3 emissions are not uniquely dependent on a specific factor, but rather are the outcome of the interaction of all surrounding conditions. Among these conditions, in addition to those examined in the graphs, factors such as the breed of cattle also play a role [46]. Only 17.6% of the selected articles specified the breed of cattle present inside the barn during the experimental measurements; among these, the indicated breeds were: Norwegian red (nrf), Swedish Holstein, Bos taurus, Charolais x Friesian, and Simmental beef cattle. In addition to the influence of breed type on emissions, significant variability in daily NH3 emissions per animal is observed between dry cattle and dairy cattle. Dairy cattle exhibit lower average daily ammonia emissions, with an average NH3 emission factor quantified at 59 g animal−1 day−1, compared to dry cattle in beef feedlots, which average 119 g animal−1 day−1 [47].
Another extremely influential factor is the technique used for measuring the concentrations in the barn, along with the choice of instruments, the number of repetitions performed, and the season in which the experimentation was conducted [42,48]. In particular, several techniques have been used to measure NH3 concentrations. Passive flow samplers were employed by 25.0% of the studies, the photo-acoustic technique by 66.7%, and electrochemistry by 8.3%. Considering the influence of the type of instrument used, it is important to highlight their detection accuracy. In fact, the study conducted by Calvet et al. [49] provided typical precision values (which may vary for different concentration ranges); these are 5–10% of magnitude for the technique with passive flow samplers, 2.5% for the photo-acoustic system, and 8% for electrochemical technology.
Regarding the season in which the measurements were conducted, among the articles selected for this review, experiments were most frequently performed during spring and summer, and much less often in winter (Figure 13). The higher emissions during these periods can be attributed to several factors, such as:
  • temperature: higher temperatures observed in late spring and summer, accelerate the release of NH3 from manure, due to the increased volatilization rate of NH3 at higher temperatures;
  • ventilation rate: during warmer periods there is generally a higher ventilation rate to maintain indoor climate conditions, which can enhance the release of NH3;
  • animal activity: higher temperatures can lead to increased emissions due to increased urination frequency and animal movement, which can disturb manure and enhance NH3 release [26].
These influential elements (such as the diet administered to the animals) have been thoroughly investigated in specific reviews [8] on livestock emissions. In the following section, the focus of this study is oriented towards the mitigation strategies for NH3 emission reduction, encompassing both characterization of the influences due to the building itself (e.g., type of ventilation, flooring, and technique for cleaning livestock effluents) and other animal-related influencing factors (e.g., nutrition, and PLF).

3.2. Mitigation Strategy Analysis

Among the twenty-seven studies reviewed, seven (Table 2) focused on exploring strategies, technologies, and practices that reduced the negative impacts caused by NH3 emissions. Mendes et al. [21] used a modelling approach to assess the benefits of mitigation techniques and evaluate potential factors to reduce NH3 emissions by comparing dairy farms equipped with at least one mitigation technique with a barn where no mitigation technique was applied. The developed model was based on a specific algorithm aimed at identifying the most appropriate abatement management technique among those considered: floor scraping, floor washing with water, different types of flooring, and internal manure acidification. The most effective strategies, in order of efficiency, were found to be manure acidification, floor scraping, and floor washing. The most valid combinations, in order of efficiency, were floor scraping combined with manure acidification (up to 44–49% reduction of emissions), solid flooring combined with scraping and washing (between 21–27% reduction) and floor scraping combined with washing and floor scraping only (17–22% reduction) [21]. Acidification, which was considered the most effective strategy in this cited study, was also investigated by Fangueiro et al. [15]. Acidification involves lowering the pH of the slurry by adding acids or other substances. Several research studies and experiments have shown that lowering the pH changes the composition of the slurry. When slurry is acidified, NH3 is converted to ammonium, which is less volatile than NH3, which thus reduces the release of emissions into the environment. In addition, acidification can affect the overall production of ammoniacal nitrogen in the manure, further reducing emissions. These findings are further corroborated by a study presented at the International Conference on Ammonia in Agriculture in 2007 [50], which demonstrated that acidification of cattle manure by using lactic or nitric acid is an effective strategy to mitigate NH3 emissions. Additionally, the study highlighted the efficacy of alternative methods, including the addition of alum and zeolite to cattle manure, in significantly reducing NH3 volatilisation.
Although considered a complex practice, acidification can pose threats such as increased solubility of certain mineral elements in manure, thus increasing the risk of leaching. However, if correctly applied, acidification can be an effective strategy to reduce NH3 emissions and improve manure environmental management.
Bobrowski et al. [52] proposed to evaluate the seasonal mitigating effects of a urease inhibitor under practical conditions and provide information on two theoretical application scenarios to estimate an annual scenario. The inhibitor, called “inhibitor K”, is described as a ready-to-use pyrrolidone-based chemical formulation. It was manually applied on the surfaces of two dairy sheds for three days during the summer, winter and transition periods. The work shows that the use of urease inhibitors in NV dairy barns, in combination with appropriate application, can significantly reduce NH3 emissions in dairy sheds in all seasons, representing a potential solution to mitigate the environmental impact of such emissions. Another research carried out by Bobrowski et al. [53] suggested that urease inhibitors may be a mitigation solution with lower investment requirements, also in an MV dairy housing system. However, they observe that further research is needed to assess the direct reduction in NH3 concentrations.
Further valuable insights into mitigation strategies can be derived from a meta-analysis of 126 published studies on manure management at all stages by Hou et al. [16]. Various strategies were considered, including reducing the protein content of animal diets, manure acidification, covering manure with straw or artificial film, compacting and covering solid manure, and manure application by broadcasting, incorporation and injection.
The results showed that managing animal diets and manure acidification were the most effective strategies for reducing harmful gas emissions throughout the livestock waste management chain. Furthermore, manure incorporation and covering with straw or artificial film were proposed in this meta-analysis as effective strategies for reducing NH3 emissions. However, Baldini et al. [20] emphasised the need to regularly renew the bedding of the cubicles to avoid anaerobic conditions in the deeper levels of the straw. In this mentioned study, greenhouse gas emissions measured in NV barns with different types of flooring and manure handling systems were studied and defined, focusing on the potential for reducing emissions through the choice of flooring type and manure handling strategies. From the described analyses, it was found that the EFs were higher in barns with solid floors equipped with scrapers, and lower in barns with perforated floors or washing systems for manure removal. These results were attributed to the contact surface between urine and urease in faces, which influenced the percentage of urea effectively converted to NH3. In addition, scrapers usually leave a thin layer of slurry, which increases NH3 volatilization by increasing the surface area over which urine is spread and reducing the thickness of urine pools. The study highlights strategies and practices used in barns that have been shown to reduce emissions of harmful gases: frequent and complete removal of manure from floors, including perforated floors; tilting of floors for faster separation of liquid and solid parts; and use of rubber mats instead of concrete floors, coupled with scrapers to increase cleaning efficiency.
However, the study conducted by Chiumenti et al. [54] stated that rubber-coated floors showed higher emission rates than concrete floors, both before and after the operation of the robotic scraper.
Snoek et al. [51] evaluated the characteristics of fresh urine pools (i.e., area, depth and resulting volume) in commercial dairy barns and studied how variables such as flooring type, season and manure scraping method influenced these characteristics. Four types of barns were considered for the experiment: the first was the reference situation with a slatted floor and manure pit; the second had a fully closed and grooved floor; the third had a fully closed V-shaped asphalt floor, equipped with a lateral slope that allows urine to flow into a gutter located longitudinally along the centre of the floor [41]; the last had a slatted floor like the first type. It was found that manure scraping can significantly influence the area and depth of urine pools. The type of flooring and the season also influenced the size of the pools. In Snoek et al.’s study, the largest and most statistically significant puddle areas occurred in the V-shaped, solid asphalt floor. Upon comparing the slatted floor to solid floor configurations, it becomes apparent that the drainage of excreted urine is notably more effective on slatted floors, facilitating its flow into the underlying manure storage system. Slatted and grooved floors could be considered more effective in reducing NH3 emissions than asphalt V-shaped floors [51]. A valid mitigation strategy proposed by the authors was to reduce urine pool sizes and consequently, NH3 emissions using manure scraping practices combined with a “Preclean” floor that showed a potential for reduction of urine pools of about 50–70% less than just scraping.
According to Xu et al. [22], low nitrogen feeding is the most effective mitigation system and, together with proper manure management, offers the best prospects for reducing total NH3 emissions and minimising impacts. To reach this conclusion, emission trends over time were analysed to identify factors contributing to emission increases and to identify areas with the highest emissions.
The study by Tullo et al. [14] examined the environmental impacts of livestock practices and discussed the benefits of Precision Livestock Farming (PLF) as a potential system to mitigate environmental risks. PLF is a technology that uses sensors and algorithms to monitor and manage animal production more efficiently and sustainably, aiming to make livestock farming more economically, socially and environmentally sustainable through observation, interpretation of behaviour and individual animal control. The review presents circumstantiated examples of how PLF can contribute to reducing the environmental impact of livestock production, including studies that have used the life-cycle analysis approach to validate the potential of PLF to improve animal welfare, enhance technical performance, and minimise environmental impact. Through a review of the scientific literature, the study concludes that precision farming offers significant benefits in terms of monitoring and control, reducing harmful emissions and improving animal welfare, thereby contributing to making livestock farming more economically, socially and environmentally sustainable.

4. Discussion and Future Directions

NH3 emissions from livestock production are the result of complex interactions between several factors, including those related to animal and manure management, the type of structure in which the animals are housed and environmental conditions. For example, animal diet, including protein content and nutrient composition, influences NH3 emissions as it can lead to higher nitrogen excretion. Certain farming practices, such as the use of bedding, the type of manure management system and even the maintenance of livestock buildings, can also affect NH3 emissions [25]. Therefore, mitigation strategies typically include measures aimed at manipulating animal diets and adhering to principles of good housing design and manure storage [17].
Among the selected studies, a significant number aimed at quantifying emissions by estimating those using different approaches and computation models. For example, mixed-effects linear models, mass balance models based on total NH3 nitrogen, CO2 balance models, backward dispersion methods, and equations were used in relation to each individual case study. This variety of estimation methods is one of the limitations of the research. The lack of uniform data or standardization of emission measurement methods can contribute to significant variability and uncertainty in the results, affecting the validity of the conclusions [49]. The current scientific literature shows gaps on the topic, leading to fragmented, non-linear knowledge that is sometimes lacking in useful insights, such as the consequences related to the economic sustainability of farms or their productivity.
To overcome these limitations, current research is moving towards the creation of databases that can be shared and consulted for experiments, with the aim of improving the representativeness, certainty and generalisability of results [12,36] as well as the use of protocols for estimation [55] and the improvement of the methods for monitoring concentrations [56]. The construction of accurate emission inventories is necessary, but complicated due to the interaction of multiple factors regulating the generation and dispersion of NH3. These factors include seasonality, temperature, humidity, wind speed, and housing type, leading to spatiotemporal variations in emission factors and complicating their application in air quality modelling [50].
Another gap identified in the reviewed papers is the limited geographical coverage. There are no studies that specifically examine the impact of livestock production in specific geographical areas, such as South America, Africa, Australia, North Asia and the Pacific Islands. Research in climatically extreme parts of the world is particularly lacking. Environmental factors, as highlighted by the results found in the publications selected for this review, are crucial for gas emission and diffusion into the atmosphere. It will be essential to extend the spatial coverage of research, to consider environmental parameters representative of more areas of the planet, and to propose in-shed measurement protocols and emission calculations fine-tuned to specific types of houses and climatic conditions. Furthermore, in order to validate the results of the experiments, it would be appropriate to evaluate study periods and measurements that take into account different periods of the year and, consequently, different meteorological seasons. Stable environmental conditions during the sampling periods could influence the results, leading to imprecise or even incorrect emission estimates.
As delineated in Figure 13, studies have largely neglected year-round estimations of emissions, with only 23.5% of articles conducting measurements across all seasons. Instead, the majority have focused on estimating emissions during warmer periods, given their propensity for heightened concentrations [48,57]. It is imperative that future research endeavours undertake comprehensive assessments of temperature variations throughout the year to elucidate the various dynamics of NH3 emissions across diverse global regions and seasonal contexts.
As expressed in the scientific publications analysed, other crucial elements influencing the estimation of emissions that should be considered are the characteristics of the structures in which the animals are housed and the manure management strategies. The review by Bougouin et al. [8] highlights how emission results vary depending on the type of ventilation or flooring and the manure management strategy. For example, the document cites the study by Aguerre et al. [56], in which in an NV barn with a solid floor, the NH3 emission calculated by mass balance was 14.1 g cow−1 d−1. In contrast, in the study by Bluteau et al. [58], using the same calculation method in a barn with the same characteristics but MV and with a scraper to remove manure from the floor, NH3 emission was 6.5 g cow−1 d−1. When compared to other NV barns with a slatted floor, the emission value was still different.
The importance of livestock management, the diet provided, and how animal behaviour conditions the volatilization and subsequent diffusion of NH3 have also been addressed. For example, Gilhespy et al. [28] demonstrated the relationship between emissions and the time spent in the barn by livestock, highlighting the consequent need to manage animal movements to reduce NH3. This study found a non-linear relationship between the time spent in the barn and NH3 emissions. Unlike CH4, which is closely linked to the presence of the producing animal, NH3 depends on the mixture of faeces and urine, even without the presence of the animal, as its volatilisation occurs after the reaction resulting from the contact of these two elements. This knowledge, together with the results of many other studies [9,15,43,53], confirmed the fundamental importance of manure management in the barn.
The first cluster confirms how one of the influencing factors is air temperature, which is positively correlated with NH3 emissions. Temperature increases facilitate biochemical processes that contribute to higher emissions; wind speed can elevate emissions by promoting the dispersion of NH3 into the environment. Relative humidity has conflicting effects, with some studies claiming that it has no significant effect on emissions, while others suggest that a more humid environment can contribute to NH3 formation.
Manure management has a significant effect on emissions; for example, cleaning floors with robotic scrapers can reduce emissions more than manual cleaning. The impact of livestock feeding has been widely studied and it has been found that increasing the crude protein content of the diet and dry matter intake can lead to increased emissions, as a result, the reduction of crude protein in animal diets may reduce concentrations, although the impact on animal welfare requires further studies [50]. In addition, the variability of NH3 emissions in daily manure has been found to be related to cow breeds due to the different daily manure volumes and manure N excretions [59]. In the study of Gavran et al. [60], the effect of the breeding region affected NH3 emissions. Building ventilation also affects emissions by helping to remove moisture and heat, thereby affecting air quality. The type of flooring used in barns has also been studied, with solid floors having higher emissions than slatted floors. Moreover, the separation between urine and faeces reduces NH3 emissions in dairy farming systems [57]
The results reported by the studies in the first cluster of publications analysed were crucial in this systematic review to provide evidence and quantitative data to support the hypotheses of the mitigation systems. Nevertheless, despite these findings, certain information gaps have been identified among the cited articles. It will be pertinent for future experiments to elucidate influential factors such as cattle breeds, and the orientation of barns to assess the impact of natural ventilation on the concentrations observed indoors [61]. In addition, understanding the underlying factors contributing to the variability of daily NH3 emissions per animal observed between dry cattle and dairy cattle is essential to develop effective mitigation strategies. Potential factors that could determine these variations could be, for instance, the type of diet and metabolic differences between these types of cattle. Specific studies examining these aspects in detail are necessary to clarify the mechanisms that determine the observed variability in NH3 emissions [47].
This review highlights the variability in NH3 emissions due to differences in experimental methods, environmental conditions, and manure management practices. It is imperative to investigate the reasons for these divergent results and to identify the most effective methods for determining EFs. While both NV and MV systems offer distinct advantages, yet are different among the various countries, the optimal approach remains undetermined. Future research should aim to standardise methodologies, develop comprehensive databases and evaluate the effectiveness of NV and MV systems in different scenarios. This will allow the formulation of clear recommendations for mitigating NH3 emissions in agricultural environments.
The second cluster comprises research aimed at studying the validity, effectiveness, and functionality of tools for mitigating the impacts caused by NH3 emissions. The evaluated strategies to reduce pollution included materials and designs of barn floors, use of scrapers and frequent washing of surfaces where manure is formed, acidification, diet management, and control of animal behaviour.
It has been observed that while these practices can reduce emissions when used individually, they may not be enough to significantly mitigate their impact on the environment. Therefore, research suggests their combined use. From the data collected in this systematic review, manure acidification, floor scraping and washing are among the most effective strategies for reducing NH3 emissions in livestock production. Acidification, particularly through the use of acids such as lactic or nitric acid, has been shown to convert NH3 to less volatile ammonium, thereby significantly reducing emissions. In addition, urease inhibitors such as “K inhibitors” have shown significant seasonal mitigating effects in different types of livestock housing systems [52,53].
However, few studies conducted to date have fully assessed the true sustainability of these solutions. For instance, washing floors with water is not considered a waste of this precious resource. In the future, it will be necessary to address the challenges related to sustainable water management, such as wastewater treatment and reducing excessive use. Additionally, acidification could have severe consequences, including an increase in H2S emissions immediately after acidification and the solubilisation of mineral elements that can cause losses through leaching. Additionally, careful, and specialised management is required, which incurs high treatment costs.
For each type of strategy, it is necessary to evaluate both economic and environmental impacts. Although the literature has proposed solutions, such as the BAT, for protecting the environment, future research should focus on investigating the long-term impacts of known strategies from both environmental and economic/productivity perspectives, as well as developing new advanced technologies and sustainable practices to reduce emissions in various farming systems and geographical contexts. Standardisation of experimental protocols and direct comparison of strategies under different environmental conditions is essential to improve understanding and implementation of NH3 emission reduction, thereby promoting sustainable and efficient farming practices. The possibility of using artificial intelligence and smart systems to design innovative materials that can absorb produced gases can be examined.
Several mitigation systems have emerged to address the environmental impact of livestock farming and improve air quality. Within Europe, particularly in intensive farming systems, these systems are increasingly being integrated into animal housing facilities. Among these advancements, air scrubbers represent a cutting-edge technological strategy for reducing agricultural emissions of NH3 and other air pollutants. Air scrubbers function by channelling air through a filtering system where chemical or biological processes convert gaseous NH3 into other compounds, typically in liquid form. The application of air-scrubber technology has been shown to significantly reduce NH3 emissions from livestock farms. However, the costs associated with installing and maintaining these systems can be substantial. As technological advancements persist, significant cost reductions and efficiency improvements in air purification systems are anticipated. Future research should prioritise the sustainable application of air purifiers as a mitigation strategy, promoting widespread adoption across a broader spectrum of livestock producers [62]. Another system of significant interest for future research in dairy cattle farming is the use of biofilters. These devices are designed to capture and treat gaseous effluents through the ventilation system of housing facilities, thereby reducing the environmental impact of agricultural emissions. The effectiveness of biofilters hinges on the composition of the filtering material and the optimal management of environmental conditions such as temperature and humidity, which promote microbial activity essential for degrading volatile compounds [47].
Additionally, the mitigation potential of waste materials [63] and technologies that have already been studied and tested for reducing emissions of pollutants produced within cities, such as systems of green walls or green roofs [64], should be evaluated; e.g., in the study by Ali Ajami et al. [65] the use of a green wall, or vegetative strip, within the porous wind barrier system was assessed to improve the removal of airborne particles, such as emissions from livestock sheds. The vegetative strip can help capture suspended material particles, such as adsorbed dust and gases, and dilute the air column through dispersion. In addition, the vegetative strip can increase the open surface area without increasing back pressure, thus improving the overall efficiency of the system in removing harmful emissions.
It is also important to investigate strategies that can significantly reduce pollution and have zero impact not only at the farm level, emphasising the utilisation of byproducts and manure from a livestock context from a circular economy perspective and also at a territorial level [66].

5. Conclusions

NH3 emissions are a critical consequence of livestock production and a widely discussed topic in the literature. The analysis of literature studies on NH3 emissions and mitigation strategies in livestock farming specifically focused on dairy housing, revealed a complex and multidisciplinary framework.
This PRISMA-based review highlights the following key conclusions regarding NH3 emissions from livestock production and strategies for mitigation:
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NH3 emissions from livestock production are influenced by various factors, including livestock management, housing structures, facility maintenance, and environmental conditions. Studies have shown that factors such as ventilation, flooring type, and manure management strategies can have substantial effects on emission levels. Understanding these factors is essential for developing effective mitigation strategies. In detail, manure management is a fundamental element in reducing emissions by using practices such as acidification and solid-liquid separation. The introduction of innovative technologies, e.g., the use of artificial intelligence, has emerged as a potential driver of sustainability. In addition, recent advances in sensor technology for real-time monitoring and feedback systems offer promising ways to improve emissions management.
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Methodological shortcomings depend on the diversity of estimation methods used in research studies, which poses a challenge to comparing results and drawing robust conclusions. The lack of standardised measurement methods contributes to variability and uncertainty in emission estimates. Moreover, shared databases, properly designed and maintained, are essential to guarantee the comparability of results across various studies. Efforts should also focus on developing standardised protocols and quality control measures to improve methodological consistency across research and development activities.
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A significant gap in research geographical coverage was registered by this review, particularly in regions such as South America, Africa, Australia, North Asia, and the Pacific Islands. Studies in climatically extreme areas are particularly lacking, hindering a comprehensive understanding of NH3 emissions globally. A research perspective that covers different regions and climatic conditions is necessary to develop mitigation strategies adapted to specific local needs and climate variables.
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Various mitigation strategies have been explored, including diet management, manure management practices, and animal behaviour control. However, research suggests that a combination of multiple strategies may be necessary to achieve significant emissions reductions. Moreover, while mitigation strategies can reduce emissions, their long-term sustainability and economic viability need further investigation. Sustainable water management, the environmental impact of acidification, and the economic feasibility of mitigation practices require careful evaluation. Integrating circular economy principles and life cycle assessment frameworks can provide a holistic approach to assessing the environmental and economic impacts of mitigation strategies.
Future research should focus on evaluating the environmental and economic impacts of mitigation strategies, analysing new technologies, and exploring innovative solutions based on artificial intelligence and green technologies. Emphasizing circular economy principles and territorial-level approaches can further enhance emissions reduction efforts.

Author Contributions

Conceptualization, C.A. and P.R.D.; methodology, S.V., C.A. and P.R.D.; software, S.V.; validation, P.R.D.; formal analysis, S.V. and C.A.; investigation, S.V.; resources, C.A.; data curation, S.V. and C.A; writing—original draft preparation, S.V. and P.R.D.; writing—review and editing S.V., P.R.D., C.A. and G.C.; visualization, P.R.D.; supervision, C.A. and G.C.; project administration, C.A. and G.C.; funding acquisition, C.A. All authors have read and agreed to the published version of the manuscript.

Funding

The work of C. Arcidiacono was carried out within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)—MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4—D.D. 1032 17/06/2022, CN00000022)–PNRR AGRITECH project (CUP: E63C22000960006; UPB: F0725192003). The APC was also funded by the PNRR AGRITECH project. The work of Serena Vitaliano was funded by the PRIN2022 project (Progetti di Ricerca di Rilevante Interesse Nazionale—Bando 2022) on emission-controlled intensive livestock housing systems for ecological transition, innovative measuring, and mitigating and mapping strategies (EMILI), UPB: 5A723192019; CUP: E53D23010530006. Furthermore, the work of P.R. D’Urso and G. Cascone has been partially funded by European Union (NextGeneration EU), through the MUR-PNRR project SAMOTHRACE (CUP: E63C22000900006; CODE_ECS00000022). This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data and information were extrapolated from the reviewed sample.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Flowchart of the PRISMA method concerning the literature considered.
Figure 1. Flowchart of the PRISMA method concerning the literature considered.
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Figure 2. This map provides a visual context to understand the scope and distribution of selected research carried out in various regions of the world.
Figure 2. This map provides a visual context to understand the scope and distribution of selected research carried out in various regions of the world.
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Figure 3. Comparative analysis among different experimental conditions for manure handling and floor typologies, in naturally ventilated buildings. Experiments having the same flooring and manure handling conditions are indicated with a specific pattern to facilitate comparisons. (The mentioned references are Zhang et al. (2005) [30], Sanchis et al. (2019) [11], Bougouin et al. (2016) [8], Qu et al. (2021) [9], Ngwabie et al. (2011) [33], Gilhespy et al. (2006) [28], Wu et al. (2012) [27], Pereira et al. (2010) [35]).
Figure 3. Comparative analysis among different experimental conditions for manure handling and floor typologies, in naturally ventilated buildings. Experiments having the same flooring and manure handling conditions are indicated with a specific pattern to facilitate comparisons. (The mentioned references are Zhang et al. (2005) [30], Sanchis et al. (2019) [11], Bougouin et al. (2016) [8], Qu et al. (2021) [9], Ngwabie et al. (2011) [33], Gilhespy et al. (2006) [28], Wu et al. (2012) [27], Pereira et al. (2010) [35]).
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Figure 4. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with solid scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
Figure 4. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with solid scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
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Figure 5. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
Figure 5. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
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Figure 6. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
Figure 6. Relation between maximum measured values of NH3 concentrations and number of bred animals in NV barns with slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
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Figure 7. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with solid scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
Figure 7. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with solid scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
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Figure 8. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
Figure 8. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
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Figure 9. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
Figure 9. Relation between maximum measured values of NH3 concentrations and milk yield per cow in NV barns with slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
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Figure 10. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with the solid, scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Gilhespy et al. (2006) [28], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
Figure 10. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with the solid, scraped floor. (The mentioned references are Zhang et al. (2005) [30], Saha et al. (2014) [26], Ngwabie et al. (2011) [33], Gilhespy et al. (2006) [28], Rzeźnik et al. (2016) [34], Pereira et al. (2010) [35]).
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Figure 11. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
Figure 11. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with slatted scraped floor. (The mentioned references are Zhang et al. (2005) [30], Wu et al. (2012) [27], Tabase et al. (2023) [31]).
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Figure 12. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with the slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
Figure 12. Relation between maximum measured values of NH3 concentrations and the average inside temperature in NV barns with the slatted flushed floor. (The mentioned references are Zhang et al. (2005) [30], Pereira et al. (2010) [35]).
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Figure 13. Seasonal distribution of experimental studies.
Figure 13. Seasonal distribution of experimental studies.
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Table 1. Significant quantitative data from research studies of cluster 1.
Table 1. Significant quantitative data from research studies of cluster 1.
ReferencesFarm TypeRange of NH3 Emissions in g AU−1 d−1
(‘AU’ Refers to the Animal Unit Equalling 500 kg Body Mass; and ‘d‘ Refers to the Day)
Zhang et al. (2005) [30]Natural ventilation:
scraped solid floor8.2–69.0 *
scraped slatted floor 2.7–24.5 *
flushed slatted floor10.9–61.7 *
Sanchis et al. (2019) [11]Natural ventilation:
scraped solid floor 2.02–111.3 **
flushed solid floor 11.1–138.9 **
scraped slatted floor 25.6–102.5 **
Mechanical ventilation:
scraped slatted floor15.0–18.0 **
Qu et al. (2021) [9]Ventilation: unspecified
Flooring and manure handling:
scraped solid 3.6–106
scraped slatted23.8–27.1
flushed solid8.7–109.4
flushed slatted 18.4–38.4
Wu et al. (2012) [27]ventilation: natural22.5–96.3 *
flooring: slatted
manure handling: scraped
Tabase et al. (2023) [31]Natural ventilation:
Scraped slatted23.52–38.64
Mechanical ventilation:
Scraped slatted163.2–463.2
Wang et al. (2016) [24]ventilation: natural15.4–22.8
flooring:
unspecified
manure handling: flushed
Zou et al. (2020) [23]ventilation: natural24.0–56.6
flooring:
unspecified
manure handling: scraped
Saha et al. (2014) [26]ventilation: natural5.5–106.1
flooring: solid
manure handling: scraped
Hempel et al. (2016) [32]ventilation: natural0.0–96.0
flooring: unspecified
manure handling: unspecified
Ngwabie et al. (2011) [33]ventilation: natural9.6–36.0
flooring: solid
manure handling: scraped
Maasikmets et al. (2015) [29]ventilation: naturaltie housing cow building: 6.4 ± 0.47
loose housing cow barn: 7.8 ± 4.01
flooring: solid
manure handling: removed by tractor
Bougouin et al. (2016) [8]Natural ventilation:
Scraped solid 9.1–108.4 **
Scraped slatted18.5–128.1 **
Flushed solid41.3–131.0 **
Flushed slatted 29.8 **
Mechanical ventilation:
Scraped solid8.0 **
Gilhespy et al. (2006) [28]ventilation: natural8.1–24.1 ††
flooring: solid
manure handling: scraped
Rzeźnik et al. (2016) [34]ventilation: natural
flooring: slatted
Manure handling:
stored under a slatted floor12.5–17.5
scraped 12.2–24.0
removed by tractor6.0–22.0
Pereira et al. (2010) [35]ventilation: natural
Flooring and manure handling:
Scraped solid 65.8 ††
Flushed slatted29.9–35.3 ††
Rzeźnik and Mielcarek (2016) [10] ventilation: unspecified26.7 ††
flooring:
Scraped solid0.1–1.7 ††
Scraped slatted
Hassouna et al. a (2022) [36]Natural ventilation:
Flooring:
Slatted floor3.36–89.2
Solid floor1.72–99.7
Mechanical ventilation:
Flooring:
Slatted floor0.04–98.8
Solid floor0.05–59.3
Manure handling: unspecified
* This article contains the description of a global database that indicates NH3 emission values expressed as % of the total number of values for each gas analysed. The reported ranges have been derived from the ‘DATAMAN’ database [37] accessed at https://www.dataman.co.nz/DataManHousings (accessed on 10 May 2024)
Çinar et al. (2023) [38]Ventilation, flooring and manure handling: unspecified *0.0–146.7
* This article states that NH3 emissions differ between types of housing, but not between types of flooring.
Poteko et al. (2019) [13]ventilation: unspecified
flooring:
solid 1.1–191.2 ††
slatted4.0–85.0 ††
manure handling: unspecified
Sommer et al. (2019) [12]Ventilation and manure handling:
unspecified
flooring:
solid12.8–55.4 ††
slatted0.8–88.0 ††
* The unit of measurement was converted from g HPU−1 d−1 by proportion. ** The unit of measurement was converted from g cow−1 d−1 by proportion. The unit of measurement was converted from g LU−1 h−1 by proportion. The unit of measurement was converted from kg AU−1 y−1 by proportion. †† The unit of measurement was converted from g LU−1 d−1 by proportion.
Table 2. Cluster 2 has significant data on the characteristics of the barns and mitigation strategies.
Table 2. Cluster 2 has significant data on the characteristics of the barns and mitigation strategies.
ReferencesFarm TypeMitigation Strategies% Reduction
Mendes et al. (2017) [21] ventilation: natural flooring: solid manure handling: scraped and flushedmanure acidification27%
floor scraping17–22%
floor scraping and washing20–27%
floor design-
Fangueiro et al. (2015) [15]ventilation: not available flooring: not available manure handling: not availablemanure acidification37%
Hou et al. (2015) [16]ventilation: natural flooring: solid; slatted and deep litter manure handling: crusting; straw cover; artificial film and acidification reduction of the protein content of the animal diet24–65%
external slurry storage via acidification83%
cover stored manure with straw or artificial film78–98%
Baldini et al. (2016) [20]ventilation: natural flooring: solid; rubber matted and slatted
manure handling: scraped and flushed
Feeding alley:
Flushing system80%
(percentage of reduction compared to the worst condition: scraper on a concrete floor)
Resting area: 20%
Rubber mat-bedded cubicles
(percentage of reduction compared to the worst condition: Straw-bedded cubicles)
Snoek et al. (2017) [51]ventilation: unspecified; flooring: solid and slatted manure handling: scraped and manually cleanedfloor design-
use of scrapers50–70%
Xu et al. (2017) [22]ventilation: unspecified; flooring: unspecified; manure handling: unspecifiedlow nitrogen food (LNF)
manure management18.9–37.3%
Tullo et al. (2019) [14]ventilation: natural and mechanical; flooring: unspecified; manure handling: unspecifiedPrecision Livestock Farming (PLF)27–41%
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Vitaliano, S.; D’Urso, P.R.; Arcidiacono, C.; Cascone, G. Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review. Agriculture 2024, 14, 1148. https://doi.org/10.3390/agriculture14071148

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Vitaliano S, D’Urso PR, Arcidiacono C, Cascone G. Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review. Agriculture. 2024; 14(7):1148. https://doi.org/10.3390/agriculture14071148

Chicago/Turabian Style

Vitaliano, Serena, Provvidenza Rita D’Urso, Claudia Arcidiacono, and Giovanni Cascone. 2024. "Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review" Agriculture 14, no. 7: 1148. https://doi.org/10.3390/agriculture14071148

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