Livestock Management Research Articles

Health Management in Livestock Production in Sub Saharan Countries

Purpose: The general objective of this study was to explore health management in livestock production in Sub Saharan countries.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings revealed that there exists a contextual and methodological gap relating to health management in livestock production in Sub Saharan countries. Preliminary empirical review revealed that the health management of livestock in Sub-Saharan Africa is a complex and multifaceted endeavor, influenced by a range of factors including limited access to veterinary services, inadequate nutrition management, and the effectiveness of disease control measures.
 Unique Contribution to Theory, Practice and Policy: The One Health theory, Theory of Planned Behaviour and the Diffusion of Innovations theory may be used to anchor future studies relating to livestock production. The study recommends for enhancing access to veterinary services, promoting knowledge, scaling up vaccination efforts, improving nutrition management, strengthening biosecurity measures, using gender sensitive approaches and investing in disease surveillance and rapid response.

From grazing units to milking units: The gendered nature of intra-household livestock management and food security for pastoralists in Kenya

This paper offers a methodological and conceptual framework for empirically demonstrating the importance of gendered, intra-household units in shaping pastoral livestock management and food security. While the focal point for understanding livestock management and pastoral production systems traditionally has been rangelands where livestock graze with male herders, this study demonstrates that as much livestock management happens within the home under the care of women. This project draws from long-term mixed methods research as well as an in-depth focal household study conducted over 10 months with Maasai pastoralists in Kenya to examine the highly gendered activities of herding and milking. In considering multiple spaces of livestock management inside and outside the pastoral home, this project introduces and utilizes the concept of the milking unit (a group of cows allotted to, and managed by, women for milking activities) alongside the more well-studied category of the grazing unit (a group of cattle pooled together by household members for grazing activities). Findings about the micro-decisions of livestock management, and the gendered politics shaping them, illustrate that gendered, intra-household relations are just as, if not more, important than grazing patterns or household assets such as herd size in determining milk resources for individuals within households, with significant outcomes for livestock productivity, food security, and wellbeing. These conclusions suggest that examining gendered, intra-household variation can be key for understanding livelihoods and human-environment interactions for pastoralists and other communities in the global South.

Interactions between animal enterprises and marketing strategies shape organic multispecies farming systems

One of the key ways to improve the sustainability of agricultural systems is through diversification, taking advantage of synergies between farm enterprises. Among diversified systems, multispecies livestock farms with at least two animal enterprises have rarely been studied. We explored 95 organic farms from six countries, accounting for the proportion of animal enterprises, sales management, workforce size, and work organization. The study reveals various types of interactions between animal enterprises. Complementarities were observed between ruminant and monogastric enterprises, particularly fertilizer transfer from monogastric manure to grasslands. Milk production was often associated with on-farm processing and short distribution channels, which enhanced farm viability and reduced its dependency on herd productivity. Eleven out of the 95 farms combined above-average production efficiency, on-farm processing, and the majority of sales in short distribution channels. Their labor productivity converged toward 22 livestock units per annual work unit, regardless of the number of workers. Combining farm structure; livestock production efficiency; social elements, such as the workforce; and sales management led us to distinguish four types of farms: (i) small and very autonomous grassland farms with on-farm processing and short distribution channels; (ii) dairy farms associated with a high-density pig or poultry enterprise, whose feed purchase contributes to high rates of cattle feeding self-sufficiency and stocking rate; (iii) large farms with an extensive, grassland beef enterprise associated with either sheep or monogastrics; and (iv) dairy sheep associated with goat or beef cattle on rangelands, with high added-value products enhancing salaries. This study highlights for the first time the diversity of organic multispecies livestock farms and how consistent patterns of interactions among farm structure, livestock management, sales management, and workforce management shape them. The results are a preliminary basis for designing policy interventions aiming to scale up organic farming and value social assets of diversified and small farms.

Estimation of Manure Emissions Issued from Different Chinese Livestock Species: Potential of Future Production

In this study, mathematical models are used to estimate the emissions of livestock excreta (LE) generated by China’s livestock industry more accurately. Also, the spatial relationship between provinces is analyzed. LE emissions are predicted for the next decade through appropriate parameters and non-parametric models. Additionally, a literature review is conducted to propose two hypotheses. As revealed by the research, there are four stages that LE emissions experience over time. From 2017 to 2021, LE emissions showed a trend of steady increase, suggesting a stronger awareness of the issue and the enforcement of more measures related to management and emission reduction. According to the results of a spatial analysis, there was no significant positive or negative correlation present between LE emissions in different provinces of China. In the selection of the prediction model, the BP-RE model achieved the best predictive performance. According to the prediction results, the fresh weight emissions from China’s livestock industry will increase by 24.53% by 2031, while dry weight emissions will decrease by 28.06%. Large-scale aquaculture farms show an upward trend, with fresh weight and dry weight emissions rising by 11.16% and 2.05%, respectively. Therefore, in light of this study’s findings, it is crucial for China to pursue additional measures in reducing LE emissions, despite the implementation of existing management policies. These insights can inform the development of livestock and poultry manure management policies and resource utilization strategies for the coming decade.

A combined approach to reconstructing livestock management in Iron Age north-eastern Iberia: estimating the season of death and palaeodiet using cementochronology and dental micro- and mesowear analyses

Two major settlements were established in the Empordà region (north-eastern Iberian Peninsula) in the Iron Age (6th-2nd centuries BC), 15 km from each other: the Greek colony of Empúries and the Iberian city of Ullastret. This coexistence of two different ethnic entities in the same region – and the same environment – presents an opportunity to shed light on the variability of livestock practices in these settlements, as well as their relationship with the environment. For this purpose, in addition to traditional zooarchaeological approaches, we reconstructed the animal palaeodiet and seasonality of death using three different proxies: dental meso- and microwear analyses, and cementum analysis. The results of the study, conducted on caprine and bovine teeth from both sites, support the hypothesis proposed in previous works, namely that the environment was exploited differently depending on livestock species. Caprinae (sheep and goats) were fed in marginal areas and less suitable areas for agriculture while, in contrast, cattle grazed on rich grassland and/or in wetland areas. The combination of cementochronology and dental microwear suggests a lower consumption of grasses in summer for Caprinae and cattle. Seasonality results show that Caprinae were mainly slaughtered during spring and summer.

Bioavailable 87Sr/86Sr variability and Bronze and Iron Ages caprine mobility on the Balearic Islands (Spain)

This paper presents the most extensive 87Sr/86Sr datasets from Late Prehistory contexts in addition to bioavailable 87Sr/86Sr values for baseline characterization on the Balearic Islands. A total of 149 caprine dental enamel samples from Mallorca, Menorca, and Formentera islands (Spain), and 35 environmental baseline samples covering the main geologies of these islands are presented here. In addition, a combination of strontium and oxygen sequential analysis was performed on seven individuals from two sites that showed some of the most diverse 87Sr/86Sr values to better understand their mobility patterns. The main goal of this research is to provide more information about isotopic variability of bioavailable strontium on the Balearic Islands and livestock management during the Bronze and Iron Ages, thus allowing us to understand how human communities exploited their landscape and interacted with other populations.

415 Awardee Talk: Foraging for Collaboration: Beef-Forage System Strengths Unite Research and Extension Efforts in the Asas Southern Section

Abstract The American Society of Animal Science Southern Section has a rich history of collaboration and hosts an annual professional development meeting for ASAS members. The Section meeting includes scientific presentations, academic quadrathlon, undergraduate and graduate student competitions, symposia, and networking opportunities for its members. The Section has used strategic collaborations to foster multi-state projects and initiatives. One of the key discipline focus areas of the Section is forage-based beef production systems. The Section holds two symposia focused on research, Extension, and industry topics related to beef cattle management. The Bill E. Kunkle Interdisciplinary Symposium was started in 2014 to honor the impact of Dr. Kunkle, University of Florida, and fosters multi-disciplinary communication of beef cattle science. The SERA 41 Symposium is part of the regional NIMSS project focus-group on improving production efficiency of the beef cow herd in the Southeast US. The NIMSS group works collectively to create partnerships and common goal-oriented projects across the Southern Section states. The section is also home to the Randel Physiology Lecture series which was formed in 2016 to highlight Dr. Ron Randel’s commitment to the Southern Section physiology section, and to promote high-quality science for the next generation of physiologists and endocrinologists. More than 25 peer-reviewed publications and several webinars have resulted from these symposia and invited lectureships. This creates a referenceable resource for scientists on emerging topics and identifies potential priority areas of focus for scientists within the Southern region. Another highlight of the Section is the collaborative work of the Extension committee. The Extension committee collaboratively fosters Extension program development across the Southern region. The committee developed a regional webinar series in 2015 for regional training of Extension agents on livestock and forage management topics. Subsequent in-service training courses have emerged through both virtual and in-person delivery. Training is primarily focused on forage-based livestock management systems. Through these opportunities, the Southern Section has remained a gathering point for professional engagement and should continue to evolve to meet the needs of animal scientists.

9 Practical Considerations for Adaptive Strategies By United States Grazing Land Managers with a Changing Climate

Abstract We outline practical considerations for grazing land adaptations with a changing climate, with an emphasis on the ranch operation scale and specific attention to directional climate changes and increased climate variability. These adaptive strategies fall into two themes: flexibility and learning under uncertainty. Ranches and livestock operations with greater land, social, or other capital resources may have more flexibility. Risk can be reduced for managers (ranchers, farmers, operators, and livestock managers) through participation in conservation or farm policy programs and/or market-based approaches. Bolstering adaptive capacity across landscapes and time can originate from social capital of operators and strategic collaborations among managers and scientists. As climate diverges from historical baselines and the realm of managers’ experiential knowledge, new conceptual frameworks are needed to structure conversations, influence research relevancy and impact, and drive imaginative solutions among researchers, managers, and local communities for socio-ecological systems. We provide simplified frameworks to help guide conversation, future research, and new imaginative solutions for systems-scale knowledge needs and adaptation to address increasingly uncertain and complex change at multiple scales. Practical considerations for adaptive strategies by grazing land managers with a changing climate will be accelerated through 1) collaborative efforts among managers and explicitly with science-management partnerships becoming more mainstream, 2) co-produced research with managers and researchers at ranch-scales, 3) development of communities of practice and associated learning opportunities, and 4) continued co-development and advancement of technologies and tools that result in high uptake adoption by ranch managers.

2 Satellite-Based Decision Support Tools to Assist Grazing Cattle Production

Abstract Grasslands cover approximately 40.5% of the surface of the earth and 80% of agriculturally productive land. After forests, grasslands are the primary carbon sink source and the most used feed source for livestock production. Regularly monitoring grasslands assures efficient management and sustainability of pasture-based production systems. Conventional ground-based methods to monitor grassland production and management rely on field measurements, which are time-consuming and usually restricted to small-scale assessment. Using satellite information allows for large-scale monitoring of grasslands and capturing the spatial variability of the land surface with high temporal resolution. Various methods for grassland monitoring based on satellite data can be applied, such as classifications, correlations/regression analyses, and time series analyses. Depending on the purpose of the application, these methods are sometimes combined to derive grassland management and production information. The ability of satellite-based data to quantify vegetation characteristics depends on the type of sensor and instrumentation features, such as spectral, radiometric, spatial, and temporal resolution, polarization, and angularity. The models to estimate grassland biomass based on remote sensing have been chiefly focused on optical systems. The spectral reflectance of raw bands and vegetation indices were used as proxies to investigate spatial and temporal patterns of grassland production. Optical (multispectral or hyperspectral) sensors are passive and require sunlight, so they depend highly on the weather (cloud) and light conditions. Thus, there has been increasing interest in active sensors, such as Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LIDAR) sensors, which are not constrained due to clouds but are more complex. Using satellite data in combination with field measurements has commonly yielded regression models (e.g., linear, power, logarithmic, multiple linear) for estimating grassland biomass or biophysical characteristics (e.g., chlorophyll, leaf area index) of different types of grasslands. The exponential evolution of digital computers has pushed forward machine learning-based regression methods to estimate biomass. Random forest, support vector machines, and artificial neural networks are the most used algorithms. The possibility of accurate mapping and monitoring of biomass and nutritional attributes of grasslands based on satellite provides essential insights into the decision support system for pasture management. A better understanding of the nitrogen status of pastures, forage biomass, and its nutritive value is instrumental in livestock and forage management. Timely prediction of these variables can help improve decision-making by grazing land managers on, for instance, the adjustment of stocking rate or adequate supplementation to match the needs of animals toward more sustainable production. Future use of satellite-based grazing models in tandem with ruminant nutrition models will enable to development of decision-support tools to assist with many aspects of livestock production in diverse environmental conditions and accounting for temporal variability. (FAPESP #2020/14367-7)

6 Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges

Abstract Precision livestock farming (PLF) is an emerging field that uses technology to optimize livestock production and management. It involves using sensors, cameras, and other data collection devices to gather information on animal behavior, health, and welfare. A digital twin is a virtual replica of a physical system that can be used for simulation, testing, and optimization. This tutorial will provide an overview of the procedure for creating a PLF digital twin with cameras and sensors. We will discuss the benefits of PLF, the hardware and software components needed, and the steps involved in creating a digital twin. PLF digital twins have a range of potential applications and benefits, including improved livestock health and welfare, increased productivity, and efficiency, and reduced environmental impact. At the end of the tutorial, we will host a roundtable discussion of the potential applications and benefits of PLF digital twins.

68 Integrating Enviromics, Genomics, and Machine Learning for Precision Breeding of Resilient Beef Cattle

Abstract Animal breeding is one of the main pillars of livestock production. Statistics, computer science, and genomics have transformed productivity in the industry. Another round of breakthroughs is expected to come from harnessing the power of big data and machine learning analytics to address the complex interaction between animal genetics and the environment. Developing methods that enable precise selection decisions for animals in diverse production environments is expected to result in significant productivity gains and a reduction in welfare issues, while also mitigating the environmental impact of suboptimal allocation of resources to ill-adapted animals. Due to climate uncertainty, an understanding of these genetic and environmental interactions will be critical for decision-making. Our multi-institutional group initiated a project to generate a comprehensive enviromics data lake to develop and apply novel methods for breeding more adapted and resilient beef cattle for varying environments. Using GIS technology and integrating various sources of environmental information from publicly available databases and satellite imaging, detailed descriptions of soil, climate, forage, and weather conditions will be created for thousands of U.S. farms, representing millions of cattle, with phenotypic and genotypic data. Farms will be comprehensively described in terms of their facilities and management practices through surveys. Machine learning and artificial intelligence techniques will then be used to predict future animal performance for precision livestock management. The proposed models will also be biologically validated by measuring direct indicators of animal resilience. Results will be communicated to beef cattle producers and industry groups to foster the implementation of environment-aware approaches into routine genetic evaluations. In this talk, we will discuss this ongoing project in detail and present some preliminary results.

PSIII-12 The Effects of PGF2 and PGF2 Plus Gnrh on Estrous Behavior and Pregnancy Outcomes in Dairy Goats

Abstract Artificial insemination protocols depend on efficient behavioral estrus detection and insemination time in dairy goats. Here we examined the effects of two synchronization protocols, prostaglandin F2α (PGF2α; protocol 1) and PGF2 plus gonadotropin-releasing hormone (GnRH; protocol 2) on estrus behavior, body temperature, pulse frequency, pregnancy protein B (PPB) concentrations, and pregnancy rates in Alpine and Saanen goats. Forty does (3.9 ± 0.28 year) were divided into two groups (20 each) with 10 Alpine and 10 Saanen females in each group. In protocol 1 goats were injected with 10 mg/goat PGF2α on day 0 and 11. In protocol 2, each goat was injected with 10 mg PGF2α on day 0, and 43 µg GnRH on day 9 and then 10 mg PGF2 α on day 11. Estrus signs were detected 24 to 36 hours after the second dose of PGF2α. Body temperature and pulse frequency were recorded on days 11, 12, 13, and 14 after the second dose of PGF2α. Goats that showed estrus signs were naturally bred with the same breed mature buck. Blood samples were collected on days 28, 35, and 42 post-breeding (PB) to assess PPB concentrations, and ultrasonography was performed on day 50 (PB) to confirm pregnancy. The percentage of female showed estrous was higher in protocol 1 than in 2 (70% vs. 60%). Irrespective of the breed, rectal and vulval temperature was higher in the protocol 2 than 1 at day 11 after PGF2 α injection; however, it was the opposite at days 12, 13, and 14. However, the pulse frequency was greater (P < 0.05) in protocol 2 at all the time point. Pregnancy rates were 71.4% and 75.0% for protocols 1 and 2, respectively. Irrespective to the synchronization protocols, the pregnancy rates were greater (P < 0.05) in Alpine than Saanen goats. In conclusion, both PGF2 and PGF2-GnRH protocols were effective in synchronizing estrus in Alpine and Saanen goats, with minor differences in estrus response rates and pregnancy outcomes. Breed-specific variations were observed within the protocols, indicating a potential influence of breed on the efficacy of estrous synchronization. This study contributes valuable insights to goat breeding programs and promotes more efficient and sustainable livestock management practices.

304 Precision Weighing Technologies to Measure Real-Time Drinking Behavior, Body Mass, and Growth in Steers Managed Using Virtual Fencing Technology in Extensive Pastures

Abstract Attaining sustainability of livestock production and understanding environmental synergies requires in-depth knowledge of grazing animal growth and behavior. A pilot study (2021-22) was conducted at the South Dakota State University Cottonwood Field Station as part of a broader project to evaluate precision livestock technology and environmental synergies on native rangelands. Yearling Angus steers (n = 262) were fitted with virtual fencing collars (Vence), weighed on a traditional chute scale, and allocated to one of six native grass pastures equipped with individual weighing (SmartScale) scales at the water source. Each pasture was assigned either Rotational (RG) or Continuous (CG) grazing strategy and one of three stocking rates (Low, Medium, and High, 0.3, 0.42, and 0.7 AUMs, respectively) in a 2x3 factorial design. The data were downloaded, (Rcore Team, 2023), and spurious weights identified and removed using Robust Regression (hwts > 0.99, Parsons et al. 2023). Effects of stocking rate and grazing strategy were analyzed on water visits, time spent drinking, and growth using a linear mixed effects model to calculate effect sizes. Differences between BW and ADG calculated using the smart-scale vs. traditional chute weights were evaluated using a paired t-test. Steers visited the smart-scale 3.44 ± 2.79 visits per day, with significant effect of RG vs. CG strategies (3.65 ± 0.09 vs. 2.89 ± 0.10 visits per day respectively, P < 0.05). Total water visit duration averaged 5.04 ± 7.58 minutes per day, with most visits occurring between 0600 and 2000 hours and no observations occurring between 2000 and 0000 hours. RG managed steers exhibited significantly higher water visit duration (5.28 ± 0.308 vs 4.16 ± 0.317 minutes/day, P < 0.05) compared with CG managed steers. Smartscale measured weights were significantly heavier than chute weights at the beginning and end of the study period, (7.47 ± 24.54 and 9.77 ± 46.25 kg respectively, P < 0.05). No differences in overall ADG were found between smartscale and traditional chute weights(P > 0.58), however, significant temporal interactions occurred (P < 0.05), which demonstrates that ADG varied over the trial duration. This created significant discrepancies in predicted vs. actual stocking rates in heavy stocked pastures (0.84 AUM, P < 0.05), indicating pastures exceeded their target stocking rate. Overall, we found steers readily acclimated to smart-scale weighing systems, and creates a viable technology to monitor watering behavior, real-time body weight, and ADG in extensively managed cattle. Further, we showed RG vs CG grazing strategies significantly affect animal drinking behavior, while stocking rate resulted in inequalities between expected vs. actual assigned animal unit months. Precision livestock technologies offer a vital solution towards enhancing sustainable livestock management practices and improving nutrition and modeling in extensive rangeland systems.

66 Emerging Precision Ranching Technology Is Enabling the Development of a “smart” Biome

Abstract Precision ranching technology is revolutionizing remote data collection from livestock and the land base they depend on, greatly improving our ability to assess the entire biome. Remotely Piloted Aircraft System (RPAS or drone) based remote sensing to date has been used primarily to assess intensive cropping; but RPAS systems equipped with interchangeable cameras: high-resolution visual, thermal, LiDAR, and multi/hyperspectral imagers are now being deployed on rangelands, to monitor subtle changes in the visible, near infrared and infrared spectrums (radiation) that both plants and animals reflect. A single RPAS system can now be used simultaneously for high-quality vegetation mapping and behavioral analysis of animals, providing a suite of comprehensive data-collection tools for studying livestock in a variety of landscapes and rugged terrain. For example, we have used RPAS systems to measure behavioral and physiological indicators of cattle heat stress in feedlots and on pasture (Mufford et al., 2021). These same drones can be utilized for RPAS collection of high-resolution imagery (using multi/hyperspectral imagers and LiDAR) for vegetative and topographical mapping, greatly improving our ability to visualize and characterize habitat attributes such as forage availability, quality (stage of growth) and accessibility. Equipping cattle with new tracking technology, including "smart" GPS ear tags, rumen boluses, and wireless fencing collars (based on low-earth orbit satellites and cellular networks) enable animals to be readily identified and tracked on the landscape, while providing invaluable physiological data, such as internal body temperature to monitor estrous, heat stress, or the onset of disease (Figure 1). Additionally, rapid advances in wireless fencing systems have the potential to improve livestock management through autonomous mustering or the implementation of advanced rotational grazing for use in regenerative agriculture efforts. Wireless fencing may decrease production (infrastructure) costs, while also providing a strategy to better align forage demands with use, and thereby enhance pasture condition at the habitat and landscape level. Finally, non-invasive pasture weighing systems, enabled with or without RPAS technologies, are capable of monitoring key livestock production metrics year-round. Together, these technological advances enabled by this new "smart biome" will improve animal health and welfare while ultimately enhancing the sustainability of extensive livestock production systems.

92 Implications of Processing and Handling on the Functionality of Animal Derived Products for Pet Foods

Abstract The pet food industry has been closely tied to the livestock, meat, and rendering industries by using materials left over from human food production. Rendered animal fats are an excellent source of dietary fat and provide enhanced palatability when used to enrobe dry pet food. Mechanically deboned meat, viscera, and rendered protein meals are often utilized as a primary source of highly digestible, well-balanced proteins and vitamins and minerals. Although these products can be easily transported and stored, they are susceptible to oxidative and microbial degradation. Antioxidants and antimicrobials aid in preserving the quality of these ingredients but are only part of the solution. How these ingredients are produced, stored, and handled can impact quality. It is important to remember that this raw material stream starts with livestock management practices. Specifically, changes in nutritional practices in the livestock industry can impact the characteristics of the products used for both human and pet foods, especially when considering poultry and pork products. Demands by consumers in the meat industry have resulted in the popularity of vegetarian diets. For example, decreased amounts of rendered animal protein meals in diets fed to chickens and turkeys have shifted towards more unsaturated fats, ultimately decreasing oxidative stability. Handling animal products throughout their supply chain can also affect product quality and potential usability. After harvest, raw material is often transported and processed by two or more different facilities before arriving at the pet food manufacturer. At the meat and rendering facilities, food safety hurdles along with processing aids can limit biogenic amine or free fatty acid formation. Once oxidation and microbial degradation occur, they cannot be reversed. Therefore, addressing food safety or oxidation control upstream in the supply chain is critical. Since each facility is unique in how co-products are processed and handled, understanding how different antioxidant blends and how and where these are applied all impact final product quality; this carries through to the quality and shelf life of the pet food diet these ingredients are intended for. With most pet foods targeting 18 months to 2 years of shelf life, starting with high-quality ingredients is key to achieving these goals. The human food, rendering, and pet food industries remain closely tied together. Trends within the meat and rendering industry result in the potential for these ingredients to be more susceptible to quality and functionality changes. The pet food industry must continue to monitor and evaluate changes in livestock production practices and product handling. Proactive management of these ingredients throughout the supply chain can ensure that these ingredients remain high-quality, cost-effective ingredients for pet food.

The Impact of Climate Change on California Rangelands and Livestock Management

On a global scale, rangelands occupy approximately half of the world’s land base surface; have a critical role in carbon sequestration and biodiversity; and support a diverse and critical economy, but at the same time, are under threat by many factors, including climate change. California rangelands, which are no exception to these aforementioned characteristics, are also unique socio-ecological systems that provide a broad range of ecosystem services and support a >$3 billion annual cattle ranching industry. However, climate change both directly and indirectly poses significant challenges to the future sustainability of California rangelands and, ultimately, the management of livestock, which has important economic implications for the state’s agricultural economy. In this study, we examined the changes in overall climate exposure and climatic water deficit (CWD), which was used as a physiological plant water stress gauge, to evaluate potential impacts of climate change on various rangeland vegetation types across California. We used two downscaled global climate models, MIROC and CNRM, under the ‘business-as-usual’ emissions scenario of RCP8.5 at a mid-century time horizon of 2040–2069 and known vegetation–climate relationships. Using the models, we predicted climate change effects using metrics and spatial scales that have management relevance and that can support climate-informed decision making for livestock managers. We found that more than 80% of the area of the rangeland vegetation types considered in this study will have higher CWD by 2040–2069. We evaluated these results with beef cattle inventory data from the U.S. Department of Agriculture by county and found that, on average, 71.6% of rangelands in the top 30 counties were projected to be highly climate-stressed. We found that current proactive and reactive ranching practices such as resting pastures, reducing herd size, and rotational grazing may need to be expanded to include additional strategies for coping with declining plant productivity.

APPLICATION OF DIGITAL TECHNOLOGIES IN THE FIELD OF ANIMAL HUSBANDRY

In the modern world, the use of digital technologies and automation in agriculture is becoming increasingly widespread. According to the United Nations, by 2050 the world's population may reach 9.7 billion, and in 2080 it will peak at 10.4 billion people, so the demand for food will grow significantly. One of the possible solutions to meet this demand is the development and active implementation of digital technologies in animal husbandry. Modern digital technologies are transforming the industry and providing new opportunities for farmers to increase efficiency and productivity while minimizing their environmental impact. These technologies are also used to optimize farmers' work. One of the industries that benefits most from automation is precision animal husbandry. Precision animal husbandry is agriculture that uses technology to monitor and manage livestock with efficiency and sustainability. Using artificial intelligence-based automation, farmers can collect data about their livestock, such as health and nutritional information, in real time. This data can then be used to make informed decisions about animal care and management. Thanks to digital technology, farmers can improve and optimize their livestock management practices. For example, the health and well-being of animals can be monitored using drones, cameras, and AI sensors that can alert humans to potential problems. In addition, artificial intelligence can be used to make decisions about breeding and feeding strategies by tracking the performance of individual animals. Digital technologies are also being introduced to improve the efficiency of the farm itself. The use of AI-enabled robots can automate certain tasks, such as milking and feeding, allowing farmers to focus on other activities. The use of resources such as water and energy can also be optimized with AI, which can help mitigate the environmental impact of agriculture. Finally, the use of robots on farms helps to improve product traceability. AI-driven sensors can monitor the condition and location (and even identify) of animals to ensure product quality and safety, and increase the sustainability of livestock production.

Assistance for the Preparation of Regulations on Livestovk Management in Teratak Rendah Village

Service regarding assistance in drafting Teratak Rendah village regulations regarding livestock management in Logas Tanah darat District, Kuantan Singingi regency. Drafting village regulations is one of the main tasks and functions of the village consultative body so the aim of this service is to assist the BPD of teratak Rendah village in drafting village regulations regarding livestock management. This service activity is carried out using the mentoring method. The result of this service activity is the preparation of Teratak Rendah regulations regarding livestock management that follow the standard rules for drafting village regulations. This preparation went through several stages, namely : planning meeting; preparation; arrangement of language in draft village regulations; village meetings; revision of draft village regulations; deliberation to determine and sign the darft of Teratak Rendah regulations. The formation of Teratak Rendah village regulations regarding the management of livestock has taken into account the requirements of a good statutory regulation, both regarding the principles, substance and techniques of its formation.

Rancang Bangun Sistem Analisa Biaya Manfaat Ternak Sapi Berdasarkan Berat Badan Sapi

Cattle fattening proccess is very important to increase the weight of cattle before being sold. However, there are many traditional breeders looking for cows that have reached puberty, but the cow's body is still thin. This could be due to the absence of records in monitoring the weight growth of cows so that feeding becomes less precise. Based on these problems, a system was designed that helps farmers in managing their livestock management by recording the progress of each beef cattle that are kept, regulating cattle feeding so that it is more optimal, and knowing the cost benefits of cattle that are kept based on the growth of cow body weight. This system uses two load cells to weigh cows. The weight of the weighed cow can be stored in the web application database. The main function of this system is to be able to calculate and display the cost of benefits of cattle based on the growth of the cow's body weight. Based on the tests carried out, the system can weight cows using two 500kg load cells with an error value of 3.61%. The system can check cow data using keypad input with an average time of 3.99 seconds and store cattle data in the database with an average time of 4.99 seconds. The system can calculate the cost of cow feed needs in one month and income due to changes in cow weight with a 100% success rate.

Response of soil antibiotic resistance genes and bacterial communities to fresh cattle manure and organic fertilizer application

Livestock manure use in agriculture contributes to pollutants like antibiotic resistance genes (ARGs) and resistant bacteria. This practice could potentially facilitate ARGs development in soil ecosystems. Our study aimed to explore ARGs and bacterial communities in cattle manure from Ningxia beef cattle farms with varying breeding periods. We also assessed the impact of different application rates of cattle manure compost, created by mixing manure with different growing periods, on soil's physicochemical and heavy metal properties. High-throughput PCR and sequencing were used to analyze ARGs and bacterial communities. We aimed to understand ARGs dynamics in cattle manure during breeding stages and the impact of different fertilizer application rates on soil bacteria and resistance genes. We found 212 ARGs from cattle manure, spanning tetracycline, aminoglycoside, multidrug, and MLSB categories. Relative ARGs abundance was presented across breeding stages: lactation (C1), breeding (C3), pre-fattening (C4), calving (C2), and late fattening (C5). pH, total nitrogen (TN), electrical conductivity (EC), arsenic (As) and cadmium (Cd) presence significantly impacted ARGs quantity and microbial community structure in manure. Mobile genetic elements (MGEs) were the primary factor altering ARGs in manure (65.56%). Heavy metals contributed to 18.60% of ARGs changes. Manure application changed soil ARGs abundance, notably in soils with high application rates, primarily associated with aminoglycoside, multidrug and sulfonamide resistance. Soils with higher manure rates had elevated MGEs, positively correlated with most ARGs, suggesting MGEs' role in ARGs dissemination. Soil microbial community structure was influenced by fertilization, particularly with the highest application rate. Heavy metals (specifically Cd, contributing to 23.12%), microbial community changes (17.42%), and MGEs (17.38%) were the main factors affecting soil antibiotic resistance. Our study establishes a framework for understanding ARGs emergence in manure and treated soils. This informs strategies to mitigate environmental ARGs transmission and guides diverse livestock manure application and management.