Livestock Production Systems Research Articles

The LTAR Croplands Common Experiment at the Gulf Atlantic Coastal Plain.

The Gulf Atlantic Coastal Plain (GACP) Long-Term Agroecosystem Research (LTAR) Network site is characterized by hot and humid summers with low gradient stream channels surrounded by wetland forests and croplands. Beneath its sandy soils, a confining layer stifles recharge to the deeper aquifer system, so a substantial proportion of streamflow is driven by shallow subsurface baseflow. Agricultural practices in the area consist of forage and livestock production, forestry, and rotational cropping systems dominated by cotton (Gossypium hirsutum) and peanut (Arachis hypogaea). Certain factors impose challenges to the viability of GACP agricultural systems, like changing economics and demographics, as well as pest and disease pressures. The GACP communicates with stakeholders from various backgrounds, who provide their perspectives as agricultural research service scientists execute their research plans. The GACP LTAR common experiment (CE) is carried out via plot- and field-scale studies. The plot-scale CE compares prevailing practices, determined from regional data, with an alternative treatment including winter covers, such as the biofuel feedstock carinata (Brassica carinata, A. Braun), to provide both economic and environmental benefits. The field-scale CE is observational; key variables are monitored for two farms where management practices largely emulate the prevailing treatment. Data collection efforts quantify vegetation, hydrology, soils, and climate data to produce datasets for modeling and statistical analysis. Research teams quantify relationships between land management, environment, and socioeconomic benefits. Ultimately, the GACP LTAR site works to facilitate agricultural system health and wellbeing at local, regional, and national scales by providing long-term science-based solutions.

Ruminant microbiome data are skewed and unFAIR, undermining their usefulness for sustainable production improvement

The ruminant microbiome plays a key role in the health, feed utilization and environmental impact of ruminant production systems. Microbiome research provides insights to reduce the environmental footprint and improve meat and milk production from ruminants. However, the microbiome composition depends on the ruminant species, habitat and diet, highlighting the importance of having a good representation of ruminant microbiomes in their local environment to translate research findings into beneficial approaches. This information is currently lacking. In this study, we examined the metadata of farmed ruminant microbiome studies to determine global representativeness and summarized information by ruminant species, geographic location, body site, and host information. We accessed data from the International Nucleotide Sequence Database Collaboration via the National Center for Biotechnology Information database. We retrieved 47,628 sample metadata, with cattle accounting for more than two-thirds of the samples. In contrast, goats, which have a similar global population to cattle, were underrepresented with less than 4% of the total samples. Most samples originated in Western Europe, North America, Australasia and China but countries with large ruminant populations in South America, Africa, Asia, and Eastern Europe were underrepresented. Microbiomes from the gastrointestinal tract were the most frequently studied, comprising about 87% of all samples. Additionally, the number of samples from other body sites such as the respiratory tract, milk, skin, reproductive tract, and fetal tissue, has markedly increased over the past decade. More than 40% of the samples lacked basic information and many were retrieved from generic taxonomic classifications where the ruminant species was manually recovered. The lack of basic information such as age, breed or sex can limit the reusability of the data for further analysis and follow-up studies. This requires correct taxonomic assignment of the ruminant host and basic metadata information using accepted ontologies adapted to host-associated microbiomes. Repositories should require this information as a condition of acceptance. The results of this survey highlight the need to encourage studies of the ruminant microbiome from underrepresented ruminant species and countries worldwide. This shortfall in information poses a challenge for the development of microbiome-based strategies to meet sustainability requirements, particularly in areas with expanding livestock production systems.

Antimicrobial Efficiency of Commercial Products for Drinking Water Based on Organic and/or Inorganic Acids Against Bacteria of Interest in Animal and Human Health

Objective: This study aims to evaluate the effects of acidity regulators based on organic and inorganic acids for drinking water on pathogens of importance in swine and poultry farming using the Minimum Inhibitory Concentration (MIC) test. Theoretical Framework: The presence of intestinal pathogens in livestock production systems is a major global concern due to their impact on both animal and public health. Pathogens like Salmonella spp. and Escherichia coli are among the main microorganisms that adversely affect these systems, resulting in significant economic losses. Limitations on the use of antimicrobials, due to microbial resistance, require adopting alternative solutions for pathogen control. Method: The statistical analysis of the MIC of acidity regulators against the microorganisms was performed using the Kruskal-Wallis test, followed by the Student-Newman-Keuls post-test (p<0.05) with GraphPad Prism software, version 8.0.1. Results and Discussion: It was observed that the sensitization profile of the microorganisms differed depending on the species. Among the Salmonella serovars, there was a difference in the resistance profile between typhoidal and non-typhoidal Salmonella concerning the evaluated products. The results showed that among the commercially available acidifiers evaluated, only five were effective against all the microorganisms tested.

Spatially Explicit Life Cycle Global Warming and Eutrophication Potentials of Confined Dairy Production in the Contiguous US

Assessing the spatially explicit life cycle environmental impacts of livestock production systems is critical for understanding the spatial heterogeneity of environmental releases and devising spatially targeted remediation strategies. This study presents the first spatially explicit assessment on life cycle global warming and eutrophication potentials of confined dairy production at a county scale in the contiguous US. The Environmental Policy Integrated Climate model was used to estimate greenhouse gases (GHGs), NH3, and aqueous nutrient releases of feed production. The Greenhouse gases, Regulated Emissions, and Energy use in Transportation model and Commodity Flow Survey were used to assess GHGs and NH3 from feed transportation. Emission-factor-based approaches were primarily used to calculate GHGs from enteric fermentation, and GHGs, NH3, and aqueous nutrient releases from manure management. Characterization factors reported by the Intergovernmental Panel on Climate Change and Tool for Reduction and Assessment of Chemicals and other Environmental Impacts model were used to compute global warming and eutrophication potentials, respectively. The analyses revealed that life cycle global warming and eutrophication potentials of confined dairy production presented significant spatial heterogeneity among the US counties. For example, the life cycle global warming potential ranged from 462 kg CO2-eq/head to 14,189 kg CO2-eq/head. Surprisingly, sourcing feed locally cannot effectively reduce life cycle global warming and eutrophication potentials of confined dairy production. The feed supply scenarios with the lowest life cycle environmental impacts depend on the life cycle environmental impacts of feed production, geographic locations of confined dairy production, and specific impact categories. In addition, installing buffer strips in feed-producing hotspots can effectively reduce life cycle nutrient releases of confined dairy production. If 200 counties with the highest life cycle EP of corn adopt buffer strips, the reduction in life cycle EP of confined dairy production could reach 24.4%.

Livestock and environment as potential sources and reservoirs for multi-drug resistant Escherichia coli in Malaysia: A Systematic Review

Pathogenic Escherichia coli (E. coli) is a significant foodborne pathogen that poses a serious global public health risk. These pathogenic strains of E. coli can be found in various environments such as soil, water, livestock, livestock products, and humans. This review aims to evaluate the role of livestock and the environment as potential sources and reservoirs of pathogenic E. coli in Malaysia over the past two decades. A systematic search was conducted on PubMed, Scopus, Web of Science, and Google Scholar databases using standardized keywords (Escherichia coli, Livestock, Abattoir workers, Farm workers, and Malaysia) to identify relevant original research articles published between 2001 and 2023 and our systematic review protocol was published in Prospero (Registration number: CRD42023433199). A total of 20 eligible articles were included in this review. The prevalence of multi-drug resistant E. coli among livestock production system and the environment, ranged from 4% to 100%. E. coli strains isolated from livestock production systems and environment in Malaysia exhibited high potential for pathogenicity, with diverse enterotoxins, genes associated with antimicrobial resistance, and virulence factors. Phylogroup B and D were noted among the E. coli isolates indicating that the strains in Malaysia are highly virulent and extra-intestinal. High levels of resistance to antimicrobials particularly ESBL and colistin which are last resort antimicrobials were noted. Butchering or processing of livestock, contamination of plants via contaminated waterways or livestock manure are the main sources and reservoir for E. coli to spread in Malaysia. Continued surveillance, monitoring and a comprehensive 'One Health' approach are recommended to effectively prevent and control livestock drug-resistant E.coli strains throughout the country.

Trends and future directions of artificial intelligence applications in Iranian livestock production systems

Abstract In recent years, the global quest for livestock intensification driven by ever-increasing demands for animal food products raised concerns about animal welfare, environmental sustainability, and public health. Leveraging artificial intelligence (AI) technologies such as remote sensing, Internet of Things (IoT), computer vision, and data-driven modeling has become a hotspot in livestock farming that could facilitate animal monitoring, disease detection, feed optimization, and health management. This review includes an assessment of these topics and research done in Iran so far, proposing future steps for the deployment of AI-powered technologies in farm applications. The Iranian livestock sector already seeing benefits from AI advancements and information technologies, however, most studies focused on model development without applications or deployment for the industry. Significant work is needed to address the limitations and challenges namely lack of data, economic feasibility, ethical concerns, infrastructure issues, and regulatory frameworks. Furthermore, reported AI-based methods and approaches have some inconsistencies in Iran that hinder validation. Looking forward, AI could create a new era in the livestock sector of Iran that not only copes with upcoming challenges but also boosts the circular economy making this country a pioneer in the region. However, tackling some potential limitations accompanying AI application in the Iranian livestock sector warrants the multi-disciplinary collaboration of veterinarians, computer scientists, animal nutritionists, agri-engineers, and governmental organizations.

Genetic structure of cattle of the siberian branch by microsatellite loci

Molecular-genetic methods are essential tools for the utilization and conservation of animal genetic resources. These methods facilitate more efficient management and control of breeding programs within livestock production systems. For studying the genetic diversity of a population, the use of STR markers is relevant due to the high variability of repeats. This study presents a genetic characterization of a Holstein and Black Pied cattle population (n = 10233) in Western Siberia using 12 microsatellite loci (BM1818, BM1824, BM2113, ETH10, ETH225, ETH3, INRA023, SPS115, TGLA126, TGLA122, TGLA227, TGLA53). A total of 145 alleles were identified across all loci, with frequencies ranging from 0.00005 to 0.68961. The highest level of genetic diversity was observed at the TGLA122 locus (25 alleles) with an average number of effective alleles (Ne) of 4.5. The least polymorphic locus was BM1824 (7 alleles) with an average Ne of 3.27. The average observed (Ho) and expected (He) heterozygosity across all loci was 0.6. The highest variability was observed at the TGLA53 locus, with a Wright’s fixation index (Fis) of 0.161, indicating a heterozygote deficiency. A similar deficiency was observed at the BM1818 locus. All other loci exhibited a positive Fis, with the highest value observed at the ETH3 locus (-0.074), indicating an excess of heterozygotes. The average Fis across all loci was -0.02, suggesting a sufficient level of heterozygosity within the studied population. These findings provide valuable information for population studies and practical breeding programs aiming to manage genetic diversity and improve selection efficiency in this cattle population.

How the Inclusion of Pigeon Pea in Beef Cattle Diets Affects CH4 Intensity: An In Vitro Fermentation Assessment

Tropical pastures intercropped with legumes have been gaining prominence for increasing the efficiency of livestock production systems when compared to pasture monocultures. Here, our objective was to understand the fermentation processes that tropical grass and legumes underwent when included in ruminant diets, which have previously been found to optimize animal performance while reducing the intensity of enteric CH4 emissions. For this purpose, three areas containing pigeon pea (Cajanus cajan) and Urochloa spp. were sampled. Samples were dried, grounded, chemically analyzed, and included in five proportions (0%, 25%, 50%, 75%, and 100%) of pigeon pea in the diet. The diets were then analyzed using an in vitro fermentation technique. Statistical analysis was performed using SAS statistical software, considering bottles as replicates, and our results suggest that a 25% inclusion of pigeon pea is optimal for balancing CH4 mitigation and fermentation efficiency, highlighting the importance of more studies with this legume due to its benefits, especially as a supplement during drought periods that impact the production and quality of tropical pastures. It is important to consider that pigeon pea’s secondary compounds may have positively modulated the fermentation process and reduced CH4 emissions. However, excessive legume inclusion can negatively affect digestibility and animal health, impairing animal performance and the sustainability of pasture-based production systems.

Genotype-by-environment interactions in beef and dairy cattle populations: A review of methodologies and perspectives on research and applications.

Modern livestock production systems are characterized by a greater focus on intensification, involving managing larger numbers of animals to achieve higher productive efficiency and animal health and welfare within herds. Therefore, animal breeding programs need to be strategically designed to select animals that can effectively enhance production performance and animal welfare across a range of environmental conditions. Thus, this review summarizes the main methodologies used for assessing the levels of genotype-by-environment interaction (G × E) in cattle populations. In addition, we explored the importance of integrating genomic and phenotypic information to quantify and account for G × E in breeding programs. An overview of the structure of cattle breeding programs is provided to give insights into the potential outcomes and challenges faced when considering G × E to optimize genetic gains in breeding programs. The role of nutrigenomics and its impact on gene expression related to metabolism in cattle are also discussed, along with an examination of current research findings and their potential implications for future research and practical applications. Out of the 116 studies examined, 60 and 56 focused on beef and dairy cattle, respectively. A total of 83.62% of these studies reported genetic correlations across environmental gradients below 0.80, indicating the presence of G × E. For beef cattle, 69.33%, 24%, 2.67%, 2.67%, and 1.33% of the studies evaluated growth, reproduction, carcass and meat quality, survival, and feed efficiency traits, respectively. By contrast, G × E research in dairy cattle populations predominantly focused on milk yield and milk composition (79.36% of the studies), followed by reproduction and fertility (19.05%), and survival (1.59%) traits. The importance of G × E becomes particularly evident when considering complex traits such as heat tolerance, disease resistance, reproductive performance, and feed efficiency, as highlighted in this review. Genomic models provide a valuable avenue for studying these traits in greater depth, allowing for the identification of candidate genes and metabolic pathways associated with animal fitness, adaptation, and environmental efficiency. Nutrigenetics and nutrigenomics are emerging fields that require extensive investigation to maximize our understanding of gene-nutrient interactions. By studying various transcription factors, we can potentially improve animal metabolism, improving performance, health, and quality of products such as meat and milk.

Unveiling the Nutritional Quality of Terrestrial Animal Source Foods by Species and Characteristics of Livestock Systems.

Background. It is well-established that a range of macronutrients, micronutrients and bioactive compounds found in animal-source foods play unique and important roles in human health as part of a healthy diet. Methods. This narrative review focuses on terrestrial animal source foods (TASFs). It particularly analyzes five groups: poultry eggs, milk, unprocessed meat, foods from hunting and wildlife farming, and insects. The objectives were as follows: (1) examine the nutrient composition of TASFs within and across livestock species, drawing on the country and regional food composition databases; (2) analyze the influence of intrinsic animal characteristics and production practices on TASF nutritional quality. Results. TASFs are rich in high-quality proteins and fats, as well as micronutrients such as vitamin B12, iron or zinc. This study found differences in the nutritional quality of TASFs by livestock species and animal products, as well as by characteristics of livestock production systems. Our findings suggest that there may be public health opportunities by diversifying TASF consumption across species and improving certain aspects of the production systems to provide products that are both more sustainable and of higher quality. Conclusions. Future research should adopt a more holistic approach to examining the food matrix and the dietary patterns that influence TASF digestibility. It is necessary to include meat from hunting and wildlife farming and insects in global food composition databases, as limited literature was found. In addition, scarce research focuses on low- and middle-income countries, highlighting the need for further exploration of TASF food composition analysis and how intrinsic animal characteristics and livestock production system characteristics impact their nutritional value.

Propolis (Bee Glue): A Promising Natural Feed Additive for Poultry and Rabbits – A Review

Abstract The concerns about the possible adverse effects of synthetic feed additives in livestock production world-wide has led producers to search for alternative natural feed additives. Propolis (bee glue) is a mixture of natural viscous substances that are collected by honeybees from plants. This natural product consists of about 200–300 compounds with high biological and pharmacological properties. Propolis induces an improvement in growth parameters, feed utilization, and meat quality. It also exerts antioxidant, anti-stress, antimicrobial, anti-inflammatory as well as immuno-modulatory and hepatic and cardiac protective effects. The presence of a huge amount of polyphenols such as flavonoids, phenolic acid esters, triterpenes, aromatic acids, diterpenic acids, and lignans are responsible for the biological properties of propolis. Therefore, propolis shows potential promising effects when applied in livestock and poultry production system. Accordingly, this review article is aimed to highlight the influences of propolis on the general health conditions of poultry and rabbits regarding the performance parameters and carcass characteristics, as well as the antioxidant, anti-stress, anti-microbial, anti-inflammatory, and the immuno-potentiation potentials.

Paspalum lepton - a valuable adjunct to the suite of grasses used in grazing systems in the subtropics or a potential weed

Native and exotic C4 grasses currently used in grazing systems in the subtropics have specific limitations with management, decline in feed quality as they mature and variable adaptation to soils and climates, providing opportunities to identify alternative species to complement or replace them. One option is Paspalum lepton (syn. P. nicorae), a sward- forming, rhizomatous grass native to subtropical South America with recognized forage value. An early maturing form of this species has become naturalized in Northern New South Wales since its introduction in the 1940s. More recent introductions with forage and amenity potential are being established vegetatively and by seed as it becomes available. This paper reviews published work on P. lepton and reports largely unpublished results and observations on its performance in research and development studies in subtropical Eastern Australia. The potential value of and threats posed by P. lepton in relation to its adaptation, productivity, competitiveness and role in limiting ingress of existing weedy species are discussed. APG 54281 and APG 54325 are palatable, productive and persistent lines of this grass that have proven to be adapted to livestock production systems in most of the humid lowland subtropics, and to a specific niche in the subtropical uplands of Southeast Queensland where there is a lack of adapted C4 grasses and C3 grasses are only marginally adapted.

Livestock production systems in wetlands of Argentina: assessing transition toward sustainable agroecological systems-

ABSTRACT The magnitude of the current environmental degradation requires an urgent restructuring of food production systems. In this sense, agroecology is considered a sustainable approach, because it provides tools to guide transition toward sustainable production systems and to meet the Sustainable Development Goals (SDG). Nevertheless, it is imperative to possess evidence regarding the implementation of agroecology and current extent. The goals of this study are to compare two instruments for assessing agroecological transitions, to measure the agroecological performance of extensive livestock systems in slightly disturbed wetlands, identify agroecological elements that differentiate farm categories, and identify relationships among these elements. We evaluated 19 representative extensive livestock production ranches from central-western Argentina. We used the Characterization of Agroecological Transition (CAET) from the Tool for Agroecology Performance Evaluation (TAPE). Moreover, CAET was modified through interaction with ranchers and technicians (Adapted CAET). The results obtained with both tools revealed that the agroecological performance of extensive livestock systems is currently in transition, with an overall average of 56.9%. This suggests that there is a group of farmers implementing agroecological strategies which have the potential to drive the transition to achieve the SDGs. This research provides valuable knowledge for applying agroecology principles in minimally impacted wetlands.

Biochanin A feed supplementation alters dynamics of trace gas emissions from lamb urine-amended soil.

Sustainable growth in livestock production requires reductions in trace gas emissions on grazing lands. Urine excreta patches are hot spots for accelerated emissions of carbon and nitrogen. Ruminant dietary supplementation with the isoflavone biochanin A (BCA) has been shown to improve cattle weight gain. To determine if BCA supplementation affects urine N excretion and soil trace gas emissions, soil in microcosms was amended with urine from lambs fed 0, 0.45, or 0.90g BCA day-1. Soil gas emissions were measured over 60 days and analyzed with a linear mixed-effects model with repeated measures. On 2 days during the incubation, BCA addition across doses significantly reduced nitrous oxide emissions by 73% and methane by 98% compared to urine from non-dosed lambs. Cumulative ammonia volatilization was significantly reduced by 33% but cumulative nitrous oxide and methane emissions were not. Alterations in trace gas emissions occurred despite no change in urine N content with BCA feed supplementation. A separate laboratory incubation using urine from a non-supplemented lamb that was exogenously spiked with varying BCA concentrations supported these results: BCA significantly altered ammonia and methane emission dynamics and reduced cumulative nitrous oxide emissions by up to 41%. BCA did not change soil microbial community structure, suggesting alterations to other processes, such as soil enzyme activity, were affecting soil trace gas emissions. Overall, lamb BCA supplementation did not affect urine N but reduced ammonia volatilization, which may contribute to greater sustainability in livestock production systems.

PSIII-30 Development of an application programming interface (API) to automate downloading and processing of precision livestock data

Abstract Advancements in technology have ushered in a new era of sensor-based measurement and management of livestock production systems. These sensor-based technologies have the ability to automatically monitor feeding, growth, and enteric emissions for individual animals across confined and extensive production systems. One challenge with sensor-based technologies is the large amount of data generated, which can be difficult to access, process, visualize, and monitor information in real time to ensure equipment is working properly and animals are utilizing it correctly. A solution to this problem is the development of application programming interfaces (APIs) to automate downloading, visualizing, and summarizing datasets generated from precision livestock technology. For this methods paper, we develop three APIs and accompanying processes for rapid data acquisition, visualization, systems tracking, and summary statistics for three technologies (SmartScale, SmartFeed, and GreenFeed) manufactured by C-Lock Inc (Rapid City, SD). Program R markdown documents and example datasets are provided to facilitate greater adoption of these techniques and to further advance precision livestock technology. The methodology presented successfully downloaded data from the cloud and generated a series of visualizations to conduct systems checks, animal usage rates, and calculate summary statistics. These tools will be essential for further adoption of precision technology. There is huge potential to further leverage APIs to incorporate a wide range of datasets such as weather data, animal locations, and sensor data to facilitate decision-making on times scales relevant to researchers and livestock managers.

459 A new approach to measuring dry matter intake, from drylot to pasture: Activities of the alliance for regenerative livestock

Abstract The current state of feed intake measurement for cattle in confinement relies on expensive monitoring systems. There is no effective method for measuring feed intake in grazing animals. To address these limitations, our research aims to tap into the potential of passively collected data, such as data from the Internet of Things (IoT), to address practical challenges in animal agriculture. This includes improving livestock management, optimizing resource allocation, and reducing ecological footprints. The benefits of our research extend beyond improved livestock management to include reducing ecological footprints, such as water, carbon, and environmental footprints. Grazing livestock have a crucial role in nutrient cycling in grasslands and advancing more sustainable livestock production systems. This requires innovation of research methods for quantifying intakes of animals housed in a variety of systems including confinement facilities that lack expensive feed intake systems and for grazing animals. Currently, the industry standard for determining feed intake are equations published in the Nutrient Requirements of Beef Cattle (NASEM, 2016). Our recent efforts using machine learning approaches (Blake et al., 2023) dramatically outperforms the equations. Using the same dataset, the NASEM (2016) approach overestimates intake by 34%. We have developed a predictive algorithm utilizing data collected from animals in confinement where individual feed intake (ground truth) is known. We have developed machine learning models such as Repeated Measures Random Forests (RMRF) and Extreme Gradient Boosting (XGB) to better predict feed intake in confined cattle. We have also used these predictive algorithms to determine feed intake of grazing animals and animals in confinement without feed intake systems and validated the predictive value of the approach.

Assessment of livestock husbandry practices and production constraints among smallholder mixed crop-livestock production systems in the Majang zone, southwest Ethiopia

Livestock production plays a significant role in improving the livelihoods of poor smallholder farmer households in the Majang zone. However, despite its importance, there is limited information on husbandry practices and constraints on livestock production to design and implement effective interventions to maximize productivity. The aim of this study was to assess husbandry practices and major constraints on livestock production in the Majang zone, southwest Ethiopia. A semi-structured questionnaire was used to collect data from a randomly selected sample of 168 households (HHs) through a face-to-face interview from January to May 2021. The results revealed that mixed crop-livestock farming is the dominant livestock production system in the study area. The overall average herd size per household (HH) was 2.15 ± 0.11 cattle, 0.15 ± 0.01 sheep, 0.31 ± 0.09 goats, 0.10 ± 0.02 donkey, 0.04 ± 0.00 mule, 0.13 ± 0.02 horses and 0.24 ± 0.02 chickens. Overall herd size did not differ significantly by AEZ except for sheep (p < 0.05). The primary reason for keeping cattle, goats, sheep, equines and poultry were milk production (27.4 %), meat for home consumption (33.9 %), cash income (33.3 %), transportation (85.1 %), and meat for home consumption (72 %), respectively. In the dry and wet seasons, natural pasture, crop residues, indigenous fodder trees and shrubs (IFTSs), nonconventional feed resources (NCFRs), crop stubbles and improved forages were the main livestock feed resources. The majority (60.1 %) of respondents practiced free-grazing systems. Separate sheds, family dwellings, kraals, and open-walled sheds were the main housing systems used for animals. The majority (79.2 %) of respondents used rivers as a source of livestock drinking water. Trypanosomiasis (18.45 %), African horse sickness (66.1 %) and Newcastle disease (47.02 %) were the most important diseases of livestock. Diseases (35.7 %), lack of access to artificial insemination (35.7 %) and inadequate veterinary services (11.3 %) were identified as the top three constraints limiting production. It is recommended that constraints identified by farmers should be considered in developing and implementing effective interventions to improve livestock productivity and their contribution to poverty alleviation in the study area.

Explanatory models and animal health-seeking behavior for East Coast fever in rural Kenya: an ethnographic study.

Explanatory models of disease focus on individuals' and groups' understandings of diseases, revealing a disconnect between livestock keepers and animal health providers. Animal health providers rely on models grounded in their veterinary training and experience. At the same time, livestock keepers may construct models based on traditional knowledge and their lived experience with East Coast fever in their cattle herds. To better understand East Coast fever and develop more efficient management strategies, this ethnographic study used the explanatory models' framework to provide a structured way for comprehending and contrasting different beliefs and understandings of East Coast fever as perceived by the livestock keepers across the different livestock production systems. Multiple data collection methods were employed, including unstructured observations, 30 in-depth interviews (IDIs), 18 focus group discussions (FGDs), and 25 key informant interviews (KIIs). Adult cattle, calves and sheep were perceived as susceptible to East Coast fever. However, there were varying perceptions of livestock susceptible to East Coast fever in the different livestock production systems. East Coast fever was attributed to multiple factors, including ticks, tsetse flies, mosquitos, birds, stagnant, dirty, or contaminated water, and livestock-wildlife interactions. However, some aspects were specific to the production system. Livestock keepers classified diseases based on observable signs, grouping diseases with similar signs under the same classification. Moreover, livestock keepers described different forms of East Coast fever ranging from treatable to fatal, which could be distinguished by the signs they presented. Self-treatment with drugs from the local agro-vet shops was the initial course of action during suspected cases of East Coast fever. Animal health practitioners were the last resort if self-treatment did not produce the desired outcome. Livestock keepers perceived avoidance of stagnant or contaminated water, tick control, and fencing as effective control measures for East Coast fever in their livestock herd. Very few livestock keepers were aware of an East Coast fever vaccine. Mechanistic explanations hold little significance in controlling East Coast fever. Instead, understanding and addressing livestock keepers' beliefs regarding ECF is crucial for promoting behaviors that support interventions across different livestock production systems.

Understanding residents’ choice of urban farming systems in the Kumasi metropolis of Ghana: Land use policy implications

The heightened food insecurity in urban settings has rekindled the debate over the promotion of urban agriculture (UA) as a sustainable alternative food supply source across the globe. This study, therefore, examines the determinants of urban residents’ decisions to engage in UA and their choice of agriculture practices. Cross-sectional data was solicited from 430 urban dwellers through a multi-stage sampling technique. The data was analysed using descriptive as well as binary and multinomial logit regression models. The descriptive analysis shows that the cultivation of crops (34.7 %) predominates urban agricultural practices before crop-livestock integration (32.6 %) and livestock farming (32.6 %). The study identifies gender, age, religious affiliation, years of formal education, location of residence, household size, food insecurity status, availability of vacant land, extension access, and household income as significant determinants of urban households’ decision to participate in UA. The multinomial logit regression analysis revealed that urban farmers’ decision to practice only crop production is invariant between livestock-only production and integrated crop-livestock systems. When compared to the base category of the integrated crop-livestock system, the findings indicate that farmers’ educational background, food insecurity, engagement in salaried jobs, location, extension, and credit access are the main drivers of the decision to practice either crop-only or sole livestock production systems. The findings of this study have useful implications for the formulation of UA programs based on the different farming systems practiced in the study location.

Dictyocaulosis in cattle: Retrospective analysis of 20 outbreaks in Central Argentina

Bovine lungworms (Dictyocaulus viviparus) are nematodes which cause a respiratory disease known as verminous bronchitis or pneumonia. In this paper, we describe 20 outbreaks of bovine dictyocaulosis recorded between 2000 and 2023 in Central Argentina. Outbreaks occurred more frequently during the autumn-winter season (from April to August) and affected cattle under 1 year old in beef production systems. An average morbidity and mortality of 26.22 % and 8.44 % were registered, respectively. The main clinical signs observed were respiratory distress (coughing, tachypnea, dyspnea, and nasal discharge), weight loss, weakness, decubitus, and diarrhea. Necropsies were performed in thirty-one calves, heifers, and steers. Gross findings included diffuse interstitial or multifocal pneumonia, with marbled appearance intermingling atelectasis and red-gray firm areas of consolidation, and subpleural and interlobular emphysema and edema. Microscopically, lungs were characterized by abundant edema and mixed intra-alveolar multifocal to coalescent infiltrate. Frequently, adult worms and/or larvae were spotted in the bronchi or alveoli, respectively. Some cases exhibited proliferation of type 2 pneumocytes and hyaline membranes covering the alveolar septa. Co-infections with gastrointestinal nematodes were frequently found in fecal samples. Given the perspective of anthelmintic resistance and future changes in environmental conditions due to climate change, integrated parasitic control strategies are mandatory and should be tailored to each production system. The information gathered in this research provides an overview of lungworm infections in livestock production systems from Central Argentina and could be useful for surveilling, monitoring and designing strategic interventions for the control of this important parasitic disease in the region.