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A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 187 English-language articles with experimental data from the Scopus and Web of Science databases (January 1987 to April 2024) were reviewed. Publications notably increased from 1997, with the highest number of papers published in 2022. Research mainly focuses on ammonia and methane emissions, including quantification, volatilization, and mitigation strategies. Other gases like carbon dioxide, nitrous oxide, and hydrogen sulfide were also studied. Key institutions include the University of California-Davis and Aarhus University. Bibliometric analysis revealed research evolution, identifying trends, gaps, and future research opportunities. This bibliometric analysis offers insights into emissions, air quality, sustainability, and animal welfare in dairy farming, highlighting areas for innovative mitigation strategies to enhance production sustainability. This research contributes to academia, enhancing agricultural practices, and informing environmental policies. It is possible to conclude that this research is a valuable tool for understanding the evolution of research on gas emissions in dairy cattle facilities, providing guidance for future studies and interventions to promote more sustainable production.

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The advancement of technology has significantly transformed the livestock landscape, particularly in the management of dairy cattle, through the incorporation of digital and precision approaches. This study presents a bibliometric analysis focused on these technologies involving dairy farming to explore and map the extent of research in the scientific literature. Through this review, it was possible to investigate academic production related to digital and precision livestock farming and identify emerging patterns, main research themes, and author collaborations. To carry out this investigation in the literature, the entire timeline was considered, finding works from 2008 to November 2023 in the scientific databases Scopus and Web of Science. Next, the Bibliometrix (version 4.1.3) package in R (version 4.3.1) and its Biblioshiny software extension (version 4.1.3) were used as a graphical interface, in addition to the VOSviewer (version 1.6.19) software, focusing on filtering and creating graphs and thematic maps to analyze the temporal evolution of 198 works identified and classified for this research. The results indicate that the main journals of interest for publications with identified affiliations are "Computers and Electronics in Agriculture" and "Journal of Dairy Science". It has been observed that the authors focus on emerging technologies such as machine learning, deep learning, and computer vision for behavioral monitoring, dairy cattle identification, and management of thermal stress in these animals. These technologies are crucial for making decisions that enhance health and efficiency in milk production, contributing to more sustainable practices. This work highlights the evolution of precision livestock farming and introduces the concept of digital livestock farming, demonstrating how the adoption of advanced digital tools can transform dairy herd management. Digital livestock farming not only boosts productivity but also redefines cattle management through technological innovations, emphasizing the significant impact of these trends on the sustainability and efficiency of dairy production.

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The objective of this study was to evaluate whether there is an interaction between pepper extract (PE) supplementation and evaporative cooling regimens on the performance, thermal comfort, and metabolism of lactating cows. The experiment was designed as a double 4 × 4 Latin square using eight multiparous Holstein cows (days in milk 147 ± 43.8 days). Treatments were a 2 × 2 factorial arrangement; two evaporative cooling regimens [sprinkler cycles of 30 s on and 4.5 min off (R5) and 30 s on and 9.5 min off (R10)] were combined with no inclusion of pepper extract (CT) or 800 mg/cow daily of PE. The inclusion of PE allowed a greater reduction in the surface temperature of the coat, and the cows remained for longer periods in the feeding area. There was an interaction between the use of PE and the climate regimen for surface temperature, which was lower for PER5. Cows experiencing greater intermittency in the spraying cycles (R10) spent 35% more time at the feeding area. A significant interaction was observed for milk production, with greater production for CTR5 compared to the other treatments. The feed efficiency for R5 was higher than that for R10. The R5 treatment combined with PE reduced water intake. There was no significant difference in serum parameters other than gamma-glutamyl transferase, with an interaction between treatments and greater activity for PER10, and total protein and albumin, which had cooling effects that were higher for R10. The two factors tested interfered in different and dissociated ways. The evaporative cooling strategies were effective, and the R5 treatment resulted in higher feed efficiency and milk production. The inclusion of PE enhanced heat reduction in cows when they were subjected to a cooling regime.

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The objective of this study was to evaluate the main scientific studies addressing the topic of compost barns in recent years, highlighting the main journals, authors, countries, organizations, and keywords associated with the publications and trends in this type of research through a bibliometric analysis. For this analysis, publications (articles and literature reviews) addressing compost barns were obtained from the Scopus and Web of Science databases. A total of 108 studies published between 2007 and April 2022 were included. A greater number of publications was observed starting in 2017, with 2021 having the largest number of publications. The Journal of Dairy Science was the most highly cited journal. Marcia I. Endres was the author with the greatest academic impact. The most influential country was the United States, followed by Brazil. Among the organizations that have published studies on compost barns, the Federal University of Lavras, and the University of Florence had the largest numbers of publications. In conclusion, this bibliometric analysis allowed us to evaluate the scientific evolution, research, and publishing tendencies of studies on the compost barn animal housing system, and the results make it possible to deduce current trends in scientific research and publications.

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The compost barn system has become popular in recent years for providing greater animal well-being and quality of life, favoring productivity and longevity. With the increase in the use of compost barn in dairy farms, studies related to the thermal environment and behavior are of paramount importance to assess the well-being of animals and improve management, if necessary. This work aimed to characterize the thermal environment inside a compost barn during the four seasons of a year and to evaluate the standing and lying behavior of the cows through images. The experiment was carried out during March (summer), June (autumn), August (winter), and November (spring). Dry bulb temperature (tdb, °C), dew point temperature (tdp, °C), and relative humidity (RH,%) data were collected every 10 minutes during all analyzed days, and the temperature and humidity index (THI) was subsequently calculated. In order to analyze the behavior of the cows, filming of the barn interior was carried out during the evaluated days. Subsequently, these films were analyzed visually, and in an automated way to evaluate the behavior of these animals. For the automated analysis, an algorithm was developed using artificial intelligence tools, YOLOv3, so that the evaluation process could be automated and fast. It was observed that during the experimental period, the highest mean values of THI were observed during the afternoon and the autumn. The animals' preference to lie down on the bed for most of the day was verified. It was observed that the algorithm was able to detect cow behavior (lying down or standing). It can be concluded that the behavior of the cows was defined, and the artificial intelligence was successfully applied and can be recommended for such use.

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The effect of milk production systems on the welfare of dairy cows has been studied worldwide, but studies that compare pasture-based, compost barn, and free stall systems, according to animal welfare, are more scarce. In this work, the welfare of 51 dairy herds, including 17 from each management system, was investigated through the application of the Welfare Quality® protocol. Descriptive statistics and the Kruskal-Wallis non-parametric method were used to analyze variables. In the present work, the welfare of the evaluated herds was significantly better in the pasture-based system than in the confinement systems. However, the pasture-based system presented weaknesses in providing water resources. The compost barn had fewer animal welfare critical points than the free stall system, as well as it was better than the free stall in measures related to comfort and health. The free stall did not present better scores than the other systems. It is concluded that the welfare of dairy cows is affected by the rearing system, with better scores, in most measures, in the pasture-based system, followed by the compost barn and, finally, the free stall.

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The mapping of pastures can serve to increase productivity and reduce deforestation, especially in Amazon Biome regions. Therefore, in this study, we aimed to explore precision agriculture technologies for assessing the spatial variations of soil pH and biomass indicators (i.e., Dry Matter, DM; and Green Matter, GM). An experiment was conducted in an area cultivated with Panicum maximum (Jacq.) cv. Mombaça in a rotational grazing system for dairy buffaloes in the eastern Amazon. Biomass and soil samples were collected in a 10 m × 10 m grid, with a total of 196 georeferenced points. The data were analyzed by semivariogram and then mapped by Kriging interpolation. In addition, a variability analysis was performed, applying both the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) derived from satellite remote sensing data. The Kriging mapping between DM and pH at 0.30 m depth demonstrated the best correlation. The vegetative index mapping showed that the NDVI presented a better performance in pastures with DM production above 5.42 ton/ha-1. In contrast, DM and GM showed low correlations with the NDWI. The possibility of applying a variable rate within the paddocks was evidenced through geostatistical mapping of soil pH. With this study, we contribute to understanding the necessary premises for utilizing remote sensing data for pasture variable analysis.

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The aim of this paper was to analyze, using computational fluid dynamics (CFD), a heating system in a commercial broiler house. Data were collected in a broiler house located in the western mesoregion of Minas Gerais, Brazil. The data were collected at 10 a.m. on the seventh day of chicks' life in 16 points inside the house. A tetrahedral mesh was adopted for the simulation, and testing of the mesh yielded a geometry of 485,691 nodes. The proposed model was developed in a permanent state condition to simulate the temperature air inside the broiler house, and all other input variables were considered constant. The applied CFD technique resulted in satisfactory fitting of the air temperature variable along the broiler facility as a function of the input data. The results indicated that the model predicted the environmental conditions inside the broiler house very accurately. The mean error of the CFD model was 1.49%, indicating that the model is effective and therefore that it can be used in other applications. The results showed that the heating system provided favorable thermoneutral conditions for chicks in the biggest part of the broiler house. However, there were some areas with air temperature above and below the thermoneutral zone.

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The objective of this study was to characterize and evaluate the temperature and humidity index (THI) of New Zealand white (NZW) rabbits kept in a rabbit house using geostatistical techniques. Furthermore, we sought to evaluate its relationship with respiratory frequency (RF) and ear surface temperature (EST). The experiment was conducted at the Federal University of Lavras, Brazil. A total of 52 NZW rabbits were used. For the characterization of the thermal environment, the dry bulb temperature (tdb, °C), relative humidity (RH, %), and dew point temperature (tdp, °C) were collected at 48 points in the rabbit house at 6:00 a.m., 12:00 p.m., and 6:00 p.m. for seven days. The RF and EST of the animals was monitored. Subsequently, the THI was calculated and the data were analyzed using geostatistical tools and kriging interpolation. In addition, the RF and EST data were superimposed on the rabbit house's THI data maps. The magnitude of the variability and structure of the THI inside the rabbit house were characterized and the heterogeneity was visualized. Critical THI points inside the rabbit house and in locations where animals with high RF and ESTs were housed were identified, thus providing information about improving the production environment.

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The thermal environment inside a rabbit house affects the physiological responses and consequently the production of the animals. Thus, models are needed to assist rabbit producers in decision-making to maintain the production environment within the zone of thermoneutrality for the animals. The aim of this paper is to develop decision trees to predict the physiological responses of rabbits based on environmental variables. The experiment was performed in a rabbit house with 26 rabbits at eight weeks of age. The experimental database is composed of 546 observed data points. Sixty decision tree models for the prediction of respiratory rate (RR, mov.min-1) and ear temperature (ET, °C) of rabbits exposed to different combinations of dry bulb temperature (tdb, °C) and relative humidity (RH, %) were developed. The ET model exhibited better statistical indices than the RR model. The developed decision trees can be used in practical situations to provide a rapid evaluation of rabbit welfare conditions based on environmental variables and physiological responses. This information can be obtained in real time and may help rabbit breeders in decision-making to provide satisfactory environmental conditions for rabbits.

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The aim of this study was to analyze the behavior of pigs housed in facilities with different building typologies in terms of the floor and partitions. Two treatments were compared: a pen containing an area with a depth of water, and a pen floor with leaked on the sides. Data on swine behavior were collected over seven days, and the pigs’ positions (standing, sitting, and lying down) and activities (eating, drinking, digging, interacting, walking and idling) were observed for five animals in each pen. Data were collected via visual measurement every 10 minutes and an ethogram was constructed. Measurements of environmental data were taken (dry bulb temperature, globe temperature and relative humidity), and were used to calculate the black globe temperature and humidity index. Although the pens showed differences in terms of the dry bulb temperature, this temperature can be considered thermoneutral for creation in the growth and termination phases. Animals housed in the pens with an area of water depth stood for longer, possibly due to the environmental enrichment caused by the presence of the water slide.

Assuntos

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Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.

Assuntos

RESUMO

The aim of this study was to analyze the behavior of pigs housed in facilities with different building typologies in terms of the floor and partitions. Two treatments were compared: a pen containing an area with a depth of water, and a pen floor with leaked on the sides. Data on swine behavior were collected over seven days, and the pigs positions (standing, sitting, and lying down) and activities (eating, drinking, digging, interacting, walking and idling) were observed for five animals in each pen. Data were collected via visual measurement every 10 minutes and an ethogram was constructed. Measurements of environmental data were taken (dry bulb temperature, globe temperature and relative humidity), and were used to calculate the black globe temperature and humidity index. Although the pens showed differences in terms of the dry bulb temperature, this temperature can be considered thermoneutral for creation in the growth and termination phases. Animals housed in the pens with an area of water depth stood for longer, possibly due to the environmental enrichment caused by the presence of the water slide.(AU)

Assuntos

RESUMO

Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandanis inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.(AU)

Assuntos

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The Animal welfare is conditional on well-planned and well-managed exploitation, since the management of the animals strongly influences their behavior, their productivity and, consequently, the yield and quality of the final product. In this study, an investigative review was carried out of the literature, governmental databases and main institutions relating to animal welfare, seeking to highlight and discuss differences in legislation between Brazil and Portugal, in view of the interest and concern of the scientific community and the consumer market in relation to methods used for animal production. In Brazil, there is no specific legislation on the welfare of pigs and other related legislation is used as a basis. However, Portugal has more specific legislation on the subject. Considering the dissemination of knowledge and the growing concern with animal welfare in the European consumer market, it is noted that the need for its application standards that ensure animal welfare in production/breeding, possibly becoming a basic requirement in the coming years. However, Brazilian pig farms, like all other animal production activities, are still lacking specific legislation that is appropriate for Brazil, which ends up delaying the effective practice of welfare in productions, abstaining from the population of information about the activity. New studies are needed to ascertain the necessity and applicability of the legislation, and whether the legislation is effective in improving animal welfare or serves only to increase bureaucracy.

Assuntos

RESUMO

The Animal welfare is conditional on well-planned and well-managed exploitation, since the management of the animals strongly influences their behavior, their productivity and, consequently, the yield and quality of the final product. In this study, an investigative review was carried out of the literature, governmental databases and main institutions relating to animal welfare, seeking to highlight and discuss differences in legislation between Brazil and Portugal, in view of the interest and concern of the scientific community and the consumer market in relation to methods used for animal production. In Brazil, there is no specific legislation on the welfare of pigs and other related legislation is used as a basis. However, Portugal has more specific legislation on the subject. Considering the dissemination of knowledge and the growing concern with animal welfare in the European consumer market, it is noted that the need for its application standards that ensure animal welfare in production/breeding, possibly becoming a basic requirement in the coming years. However, Brazilian pig farms, like all other animal production activities, are still lacking specific legislation that is appropriate for Brazil, which ends up delaying the effective practice of welfare in productions, abstaining from the population of information about the activity. New studies are needed to ascertain the necessity and applicability of the legislation, and whether the legislation is effective in improving animal welfare or serves only to increase bureaucracy.(AU)

Assuntos