Cattle Production Systems Research Articles

Characterization of Cattle Production System in East Gojjam Zone of Amhara Regional State, Ethiopia

Survey was conducted in four Districts of East Gojjam Zone Amhara Regional state of Ethiopia (Sinan, Dejen, Gozamen and Machakel). The objectives of the survey were to characterize cattle production systems, asses feed resources of cattle in eastern Gojjam and identify major constraint of cattle production in the zone. A total of 160 household heads were randomly selected and interviewed using a structured questionnaire. The study revealed that the average cattle herd size was 7.55 ± 0.31 heads per household and were significantly different (P<0.01) among districts. In the study districts, cattle are primarily kept for draught power followed by income source and milk production. According to the respondents, crop residue, hay and local brewery by-products are the main feed resources ranked in order of importance as first, second and third, respectively in dry season. Similarly, crop residue, cut and curry system and communal grazing are important feed sources in wet season (ranked as first, second and third, respectively). The study also shows that feed shortage was the main constraint affecting livestock production and productivity across the districts. In availability of appropriate cattle genotype and disease were identified as second and third important constraints. Due to shrinkage of grazing areas, farmers are shifting cattle rearing from permanent free grazing into tethering and semi-grazing systems. The total livestock number in the zone was estimated to be 7.55 TLU unit which is directly related to carrying capacity of the grazing feed resources in the area. Thus, the study implies that there is a need to improve fodder production, crop residue utilization, efficiency and utilization of artificial insemination to increase the number of improved cattle genotype and improve delivery of veterinary services in a smallholder cattle production system of the zone.

5 Farm-level management practices in forage-based beef cattle systems and their influence on sustainability

Abstract Sustainability is a ‘buzzword’ often used within and outside of the agriculture industry. Southeastern beef cow-calf and stocker operations often utilize management practices which embody the core definition of sustainability to improve land resource, economic, and social viability. In forage-based production systems, year-round management practices are generally viewed by the scientific community in terms of production and economic responses. However, the continual global shift in emphasis on sustainable practices creates an opportunity to view these practices through a different lens. Goals of grazing-based beef systems often include optimizing the number of grazing days per year, reducing hay and supplemental feeding period duration, and strategic supplementation during grazed forage availability gaps. Methods for increasing the grazing season length per year may include stockpiling, inclusion of multi-species mixtures, increasing species diversity on farm, and optimizing stocking strategies. Outside of associative effects of feed supplementation are potential ancillary benefits of supplementation on the plant-animal-soil interface. As an example, feed-through fertilization influences forage growth production responses and stocking density modulation in grazed beef cattle systems. The role of mineral supplementation and ionophore inclusion in beef cattle diets is well documented from an animal performance perspective, but to a lesser extent on how using these practices may influence forage or soil response variables. Stacking management practices may elicit positive animal performance responses, while potentially reducing outside inputs into the system. The question then becomes if this is economically viable compared with a more traditional forage-based system. From a research perspective, systems-level studies are more prevalent than in the past, but funding models require scientists to evolve and lead with the sustainability message rather than from a production viewpoint. Valuing management practices from an ecosystem services view is a potential area of opportunity for researchers, industry and farmers to highlight strengths of forage-based beef cattle production systems from a consumer perspective.

4 Utilizing SmartFeed Pro and SuperSmart Feeders for applied beef cattle research

Abstract Designing research for applied beef cattle production systems has always presented challenges for Land Grant University and USDA Scientist. Specifically, creating study designs that have enough replication for statistical inference has often prompted scientists to use designs that do not closely replicate actual production systems. Past research has often used multiple replications (pens/paddocks/pastures) that utilize replication (group averages; 4 – 8 animals) means as the experimental unit. While effective in measuring average treatment responses, these types of study designs do little to describe the actual individual animal behavior and performance in a more practical production environments. Approaches to increasing statistical observations in actual production environments will be discussed in this presentation. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors (C-Lock Inc, GrowSafe) combined with multiple regression modeling tools can aid in designing and publishing beef cattle production research in actual beef production environments. Research at Montana State University has utilized SmartFeed Pro and SuperSmart Feeders for strategic supplementation research on extensive rangelands and dry-land pastures for the past seven years. Results of these studies have evaluated self-fed (salt-limited; loose, pelleted, and baked molasses blocks) as well as hand-fed supplements where daily intakes are limited by the locking gate on the feeder. This presentation will summarize these studies with a focus on research designs that were successful and/or unsuccessful in respect to characterizing beef cattle performance in production settings. Our goal will be to assist the audience in the application of feed intake technology in designing future applied beef cattle research.

Characterization of diarrheagenic Escherichia coli from different cattle production systems in Brazil

Diarrheagenic E. coli (DEC) can cause severe diarrhea and is a public health concern worldwide. Cattle are an important reservoir for this group of pathogens, and once introduced into the abattoir environment, these microorganisms can contaminate consumer products. This study aimed to characterize the distribution of DEC [Shiga toxin-producing E. coli (STEC), enteroinvasive E. coli (EIEC), enteropathogenic E. coli (EPEC), enterotoxigenic E. coli (ETEC), and enteroaggregative E. coli (EAEC)] from extensive and intensive cattle production systems in Brazil. Samples (n = 919) were collected from animal feces (n = 200), carcasses (n = 600), meat cuts (n = 90), employee feces (n = 9), and slaughterhouse water (n = 20). Virulence genes were detected by PCR in 10% of animal samples (94/919), with STEC (n = 81) as the higher prevalence, followed by EIEC (n = 8), and lastly EPEC (n = 5). Animals raised in an extensive system had a higher prevalence of STEC (average 48%, sd = 2.04) when compared to animals raised in an intensive system (23%, sd = 1.95) (Chi-square test, P < 0.001). From these animals, most STEC isolates only harbored stx2 (58%), and 7% were STEC LEE-positive isolates that were further identified as O157:H7. This study provides further evidence that cattle are potential sources of DEC, especially STEC, and that potentially pathogenic E. coli isolates are widely distributed in feces and carcasses during the slaughter process.

Comparative microbiome analysis of beef cattle, the feedyard environment, and airborne particulate matter as a function of probiotic and antibiotic use, and change in pen environment.

Intensive beef cattle production systems are frequently implicated as a source of bacteria that can be transferred to nearby humans and animals via effluent water, manure used as fertilizer, or airborne particulate matter. It is crucial to understand microbial population dynamics due to manure pack desiccation, antibiotic usage, and antibiotic alternatives within beef cattle and their associated feedyard environment. Understanding how bacterial communities change in the presence of antibiotics can also improve management practices for reducing the spread of foodborne bacteria. In this study, we aimed to compare the microbiomes within cattle feces, the feedyard environment and artificially produced airborne particulate matter as a function of pen change and treatment with tylosin or probiotics. We utilized 16S rRNA sequencing to compare bacterial communities among sample types, study days, and treatment groups. Bacterial community diversity varied as a function of sampling day and pen change (old or new) within fecal and manure pack samples. Manure pack samples from old pens and new pens contained diverse communities of bacteria on days 0 and 84; however, by day 119 of the study these taxonomic differences were less evident. Particulate matter samples exhibited significant differences in community diversity and predominant bacterial taxa compared to the manure pack they originated from. Treatment with tylosin did not meaningfully impact bacterial communities among fecal, environmental, or particulate matter samples; however, minor differences in bacterial community structure were observed in feces from cattle treated with probiotics. This study was the first to characterize and compare microbial communities within feces, manure pack, and airborne particulate matter from the same location and as a function of tylosin and probiotic treatment, and pen change. Although fecal and environmental samples are commonly used in research studies and other monitoring programs to infer public health risk of bacteria and antimicrobial resistance determinants from feedyard environments, our study suggests that these samples may not be appropriate to infer public health risk associated with airborne particulate matter.

Bovine mortality: the utility of two data sources for the provision of population-level surveillance intelligence.

The use of existing data to provide surveillance intelligence is widely advocated but often presents considerable challenges. Two data sources could be used as proxies for the mortality experienced by the Scottish cattle population: deaths recorded in the mandatory register [Cattle Tracing System (CTS)] and fallen stock collections by the National Fallen Stock Company (NSFCo) with a nationwide voluntary membership. Data for the period 2011-2016 were described and compared to establish their strengths and limitations. Similarities and differences in their temporal, seasonal and spatial patterns were examined overall, at postcode area level and for different age groups. Temporal aberration detection algorithms (TADA) were fitted. Broadly, similar patterns were observed in the two datasets; however, there were some notable differences. The observed seasonal, annual and spatial patterns match expectations, given knowledge of Scottish cattle production systems. The registry data provide more comprehensive coverage of all areas of Scotland, while collections data provide a more comprehensive measure of the mortality experienced in 0-1-month-old calves. Consequently, estimates of early calf mortality and their impact on the livestock sector made using CTS, or successor registers, will be under-estimates. This may apply to other registry-based systems. Fitted TADA detected points of deviations from expected norms some of which coincided in the two datasets; one with a known external event that caused increased mortality. We have demonstrated that both data sources do have the potential to be utilized to provide measures of mortality in the Scottish cattle population that could inform surveillance activities. While neither is perfect, they are complementary. Each has strengths and weaknesses, so ideally, a system where they are analyzed and interpreted in parallel would optimize the information obtained for surveillance purposes for epidemiologists, risk managers, animal health policy-makers and the wider livestock industry sector. This study provides a foundation on which to build an operational system. Further development will require improvements in the timeliness of data availability and further investment of resources.

Typologie des systemes de productions du bovin de race djelli (Bos taurus indicus) dans les communes de Gotheye, Sinder et Say au Niger

The development of Djelli cattle breeding in Niger remains a challenge due to prejudices about its productivity. The particularities of its production systems have not been sufficiently developed. The aim of this study is to develop a typology of local Djelli cattle production systems in six localities in the communes of Gothèye, Sinder and Say in Niger. A survey was carried out among 150 breeders. Discriminant factor analysis (DFA) and hierarchical ascending classification (HAC) were used to identify three types of production system: The first type is made up of transhumant herders whose main activity is livestock rearing and who belong to the Peulh ethnic group. This type is characterized by large herds (27 head). They have 3 breeding cows and 4 suckling cows for 16 breeding females. The second type is made up of sedentary breeders. Their main activities are fishing and trading, and they belong to the Sonrai socio-cultural ethnic group. Their herds are modest (17 head), comprising 2 breeding and 5 suckling cows for 11 breeding females. The third type is made up of semi-transhumant herders. Their main activity is farming, and they belong to the Sonrai socio-cultural ethnic group, with an equally modest herd size (18 head). The number of breeding cows is similar to that of the sedentary herders (2 head). However, the number of sucklers is reduced to 3 head for 10 breeding females. The daily intake of bran concentrate per suckling female is the highest (5 kg of bran concentrate per day). The ratio of lactating females to females of breeding age was r =0.45 in the sedentary group, compared with r =0.30 in the semi-transhumant group and r = 0.25 in the transhumant group. The results also showed that the rearing environment is dominated by a diet of rice straw (39%) and rice bran (49%). The most frequently vaccinated disease on the farms was pasteurellosis (87.3%), and the highest deworming rate was 40%. The environment also revealed a variation in lactating females for the riparian localities of Say and Yelwani (5.4±2.6b and 6.0±2.8b respectively), which are very significantly different (P&lt;0.001) from the non-riparian localities of Koulbaga and Tassikoirey (2.9±1.2a and 2.8±1.20a respectively). In conclusion, sedentary farmers are the most productive in a food environment dominated by rice crop residues and diseases such as pasteurellosis and endoparasites. Key words : Production systems, herd size, sedentary breeders, lactating female

Modelling the effect of context-specific greenhouse gas and nitrogen emission mitigation options in key European dairy farming systems

Understanding the environmental consequences associated with dairy cattle production systems is crucial for the implementation of targeted strategies for emission reduction. However, few studies have modelled the effect of tailored emission mitigation options across key European dairy production systems. Here, we assess the single and combined effect of six emission mitigation practises on selected case studies across Europe through the Sustainable and Integrated Management System for Dairy Production model. This semi-mechanistic model accounts for the interacting flows from a whole-farm perspective simulating the environmental losses in response to different management strategies and site-specific conditions. The results show how reducing the crude protein content of the purchased fraction of the diet was an adequate strategy to reduce the greenhouse gas and nitrogen emission intensity in all systems. Furthermore, implementing an anaerobic digestion plant reduced the greenhouse gas emissions in all tested case studies while increasing the nitrogen emissions intensity, particularly when slurry was applied using broadcast. Regarding the productivity increase, contrasting effects were observed amongst the case studies modelled. Moreover, shallow slurry injection effectively mitigated the intensity of nitrogen losses from the fields due to strong reductions in ammonia volatilisation. When substituting urea with ammonium nitrate as mineral fertiliser, site-specific conditions affected the mitigation potential observed, discouraging its application on sandy-loam soils. Rigid slurry covers effectively reduced the storage-related nitrogen emissions intensity while showing a minor effect on total greenhouse gas emission intensity. In addition, our results provide novel evidence regarding the advantages of cumulative implementation of adapted mitigation options to offset the negative trade-offs of single-option applications (i.e. slurry covers or anaerobic digestion and slurry injection). Through this study, we contribute to a better understanding of the effect of emission mitigation options across dairy production systems in Europe, thus facilitating the adoption of tailored and context-specific emission reduction strategies.

Prediction of body weight of Curraleiro Pé-Duro cattle based on morphometric measurements.

Cattle weight development is highly correlated with some body measurements. Based on the relationship between morphometric measurements and body mass, our aim was to develop regression equations to estimate the body weight of Curraleiro Pé-Duro (CPD) cattle to be used in farms that lack access to weighting scales. Data from 1023 animals from four farms on withers height (WH), body length (BL), body score (BS), heart girth (HG), permanent teeth (PT), scrotal perimeter (SP), and live weight were used. The animals were classified into five categories depending on age and/or sex: newborns (NB), calves, weaned animals, cows, and bulls. The best models are GLM with Gamma, Gamma, inverse Gaussian, Gaussian, and Gamma distributions for NB, calves, weaned animals, cows, and bulls, respectively. Predictive modeling for bulls was the best performing overall, with a correlation of 0.97 between the estimated by the model and the obtained with a weighting scale. For NB, calves, weaned animals, and cows, the correlation (r) was 0.85, 0.90, 0.95, and 0.87, respectively. The evaluated models are adequate to be used as a technical solution to estimate weight in a cattle production system.

Ammonia emission factors from cattle production systems in Ireland – a review

Ammonia (NH3) emissions from livestock production contribute to environmental pollution. To address this challenge, the European Union (EU) National Emission Reduction Commitments Directive 2016/2284 (NECD) sets NH3 reduction targets for EU member states. In order to achieve these targets, several strategies have been evaluated under Irish conditions. A compilation of emission factors (EFs) from studies which evaluated these strategies is necessary to assess their effectiveness. This paper reports NH3 EFs from cattle production under Irish conditions. The results from the review show that the mean EFs from the deposition of dung, urine and urea applied to urine patches on grasslands were 4%, 9% and 8% total nitrogen (TN), respectively. EFs from the application of urea to urine patches were reduced by 28% after the addition of the urease inhibitor N-(n-butyl) thiophosphoric triamide (NBPT) to urea. The mean EF of 28% TN reported for urea fertiliser was almost 7 times higher than calcium ammonium nitrate (CAN). The inclusion of urease inhibitors with urea fertilisation on grassland led to EF reduction of up to 86%. The mean EFs from cattle houses, concrete yards, slurry storage pits and slurry landspreading were approximately 13%, 35%, 60% and 59% total ammoniacal nitrogen (TAN), respectively. The most effective NH3 abatement strategies for concrete yards and slurry storage were immediate cleaning of concrete floors (up to 89% reduction) after excreta deposition and the application of chemical amendments (sulphuric acid, acetic acid, alum and ferric chloride) to slurry in storage pits (up to 98% reduction), respectively. Low-emission spreading strategies and slurry acidification were effective at abating EFs after slurry application to land.

Induction of puberty vs. induction of ovulation using steroid hormones in beef heifers: a comprehensive review.

This review elucidates the physiological and endocrinological processes intrinsic to puberty and ovulation induction protocols in Bos indicus and Bos taurus beef heifers. Puberty is a complex physiological event involving gonadotropic and metabolic changes that lead to sexual maturity, first ovulation, and regular reproductive cycles, enabling females to reproduce. Exposure to progesterone-based hormonal protocols, with or without additional hormones, can reduce the age at first ovulation and improve sexual maturity through stimuli in the hypothalamus-pituitary-gonadal (HPG) axis and uterine development. However, inducing puberty differs from inducing ovulation, as it does not ensure the heifer will continue cycling or be ready to establish and maintain pregnancy after hormonal exposure. Regardless of the pharmacological basis, studies consistently report that beef heifers that had a corpus luteum (CL) prior to the timed-artificial insemination (TAI) protocol, have greater expression of estrus in response to synchronization and greater pregnancy per AI compared to heifers without a CL. The combination of P4 and E2 significantly impacts uterine development, increasing reproductive efficiency. Exposure to P4 causes a positive effect on inducing ovulation. However, studies indicate that the addition of E2 esters at the time of P4 device removal increases the ovulation rate. In general, the studies showed that fertility varied according to the type of the ovulation induction protocol used, but with inconsistent results. Although ovulation induction protocols are strategic tools to accelerate sexual maturity, a holistic view of the entire system is extremely important, combining integration with genetics and nutrition to enhance the reproductive outcomes of beef heifers. Future research is needed to understand and refine these protocols, driving the efficiency of beef cattle production systems.

Bull sperm cryopreservation: An overview on the current status and future perspectives

Cryopreservation refers to freezing cells or tissues at extremely low temperatures, allowing them to be stored for extended periods while maintaining viability. Cryopreserved bull semen has become an essential tool in cattle breeding programs and commercial cattle production systems. This review provides a detailed analysis of the current methods and challenges in preserving bull sperm using cryopreservation. We explore the effects of cryopreservation on sperm cells, the role of different cryoprotectants, as well as the progress made in the analysis of bull semen. It also highlights the impact of the freezing process on sperm morphology and functionality, emphasizing the importance of optimizing cryopreservation techniques to maintain sperm fertility and viability. The article underscores the significance of cryopreservation technology in cattle genetics and breeding and suggests future research to enhance cryopreservation techniques.

Valuation of the sustainability of the dairy cattle production system in high andean areas of Colombia

The dairy cattle production system (SPGL) in the high areas of Colombia, located in the Ubaté and Chiquinquirá hydrographic basinaround the Fúquene lagoon, is considered one of the best areas to produce dairy products in the country. Many research andinvestment has been carried out in those areas to improve its competitiveness. Under this context, the objective of assessing the level ofsustainability of the SPGL was defined, from the supply and cultural ecosystem services (ES). The mixed approach methodologycollects primary information, validated with groups of experts that characterized the SPGL, and then assesses its sustainability. Thereliability and trustworthiness of the data are based on an Exploratory Factor Analysis (EFA), which refines the variables and thenperforms a Confirmatory Factor Analysis (CFA) that exceeds the adjustment levels for this type of research. The results showsignificant direct causality of the SPGL sustainability level from the supply and cultural ES. Concluding, the dairy cattle production systems of the municipalities surrounding the Fúquene lagoon presents serious environmental, social, and productive problems, and only a holistic or novel approach such as the valuation of the in Supply and Cultural Ecosystem Services helps to resolve these problems.

Comparative analysis of cattle production systems in Nigeria grassland agroecology

Comparative analysis of cattle production systems in Nigeria grassland agroecology

Comprehensive time-course gene expression evaluation of high-risk beef cattle to establish immunological characteristics associated with undifferentiated bovine respiratory disease.

Bovine respiratory disease (BRD) remains the leading infectious disease in beef cattle production systems. Host gene expression upon facility arrival may indicate risk of BRD development and severity. However, a time-course approach would better define how BRD development influences immunological and inflammatory responses after disease occurrences. Here, we evaluated whole blood transcriptomes of high-risk beef cattle at three time points to elucidate BRD-associated host response. Sequenced jugular whole blood mRNA from 36 cattle (2015: n = 9; 2017: n = 27) across three time points (n = 100 samples; days [D]0, D28, and D63) were processed through ARS-UCD1.2 reference-guided assembly (HISAT2/Stringtie2). Samples were categorized into BRD-severity cohorts (Healthy, n = 14; Treated 1, n = 11; Treated 2+, n = 11) via frequency of antimicrobial clinical treatment. Assessment of gene expression patterns over time within each BRD cohort was modeled through an autoregressive hidden Markov model (EBSeq-HMM; posterior probability ≥ 0.5, FDR < 0.01). Mixed-effects negative binomial models (glmmSeq; FDR < 0.05) and edgeR (FDR < 0.10) identified differentially expressed genes between and across cohorts overtime. A total of 2,580, 2,216, and 2,381 genes were dynamically expressed across time in Healthy, Treated 1, and Treated 2+ cattle, respectively. Genes involved in the production of specialized resolving mediators (SPMs) decreased at D28 and then increased by D63 across all three cohorts. Accordingly, SPM production and alternative complement were differentially expressed between Healthy and Treated 2+ at D0, but not statistically different between the three groups by D63. Magnitude, but not directionality, of gene expression related to SPM production, alternative complement, and innate immune response signified Healthy and Treated 2+ cattle. Differences in gene expression at D63 across the three groups were related to oxygen binding and carrier activity, natural killer cell-mediated cytotoxicity, cathelicidin production, and neutrophil degranulation, possibly indicating prolonged airway pathology and inflammation weeks after clinical treatment for BRD. These findings indicate genomic mechanisms indicative of BRD development and severity over time.

Biocontrol capacity of bacteria isolated from sawdust of the dairy cattle production environment

This research paper aimed to find endemic bacteria from the cattle production system to control the growth of mastitis pathogens. Bacteria were isolated from compost barn sawdust of two dairy cattle systems and later tested to verify their ability to control the growth of Staphylococcus aureus isolates obtained from cattle with mastitis. Bacterial isolates from these systems were tested to verify biocontrol capacity using the double-layer method. A total of 189 isolates were obtained from all samples by considering the morphology of the different bacterial colonies, with 30 isolates showing positive results for the growth control of at least one S. aureus strain and 19 isolates showing the ability to control more than one pathogen strain. The ability to control more than one pathogen and present a significant halo of inhibition in our isolates represents positive traits in the search for cattle mastitis biocontrol microorganisms. Thus, the results obtained represent the range of bacteria capable of controlling the pathogens without the use of antibiotics.

Genome-wide association study for reproduction traits in Colombian Creole Blanco Orejinegro cattle.

The profitability of the beef cattle production system relies heavily on reproductive traits. Unfortunately, certain traits, such as age at first calving (AFC), calving interval (CI), and gestation length (GL), can pose challenges in traditional breeding programs because of their low heritability (0.01-0.12) and sex-limited characteristics. Another important aspect is the conservation of the genetic resources of animals adapted to the Colombian regions, which implies the preservation and rational use of the creole breeds in the country market. Therefore, this study aimed to identify genomic regions in the creole cattle breed Blanco Orejinegro (BON) that influence the reproductive traits in females. The dataset comprised 439 animals and 118,116 single-nucleotide polymorphisms' (SNPs) markers. The GS3 program was used to identify the SNP effects employing the BAYES Cπ methodology. The number of SNPs with effect for AFC was 25, 1527 for CI, and 23 for GL. Some of the genes found associated with reproductive and growth traits as well as immune response and environmental adaptation ECE1, EPH, EPHB2, SMARCAL1, IGFBP5, IGFBP2, FCGRT, EGFR, MUL1, PINK1, STPG1, CNGB1, TGFB1, OXTR, IL22RA1, MYOM3, OXTR, CNR2, HIVEP3, CTPS1, CXCL8, FCGRT, MREG, TMEM169, PECR, and MC1R. Our results evidenced a high contribution of the genetic architecture of the Colombian creole cattle breed Blanco Orejinegro that may impact should be included in implementing genetic improvement and conservation programs.

Emerging smallholder cattle farming from a One Health perspective: A system dynamics model of the highveld region of South Africa

BackgroundOne Health is built on the concept that "human health and animal health are interdependent and bound to the health of the ecosystems in which they exist" (OIE, 2021). The zoonotic origins of the COVID-19 pandemic elevated the importance of the One Health concept while highlighting the complexities of human-animal-environmental interfaces in public health management. The definition and purpose of One Health includes an applicability to cattle farming systems. One Health-awareness in livestock rearing is essential in ensuring animal, human, and environmental health and in limiting the spread and emergence of diseases that threaten the health of the three domains. OriginalityThis article identified a gap in One Health research in South Africa and its emerging smallholder cattle production systems. It presents the research problem of the impact of low on-farm productivity on One Health outputs in the emerging smallholder cattle farming sector, and addresses a gap in the academic literature to adopt modelling approaches as a comprehensive means of representing the dynamics of One Health with Systems Dynamic Modelling. MethodologyWe adopt a One Health approach in presenting a system dynamics simulation model of the weaner-rearing production system and the effect of nutrition and disease management on One Health production outputs. ResultsThe model is applied to the highveld region of South Africa and aims to identify the interventions that would most benefit the three One Health parameters of human, animal, and environmental health. The results suggest that increasing farmers' access to disease management training and on-farm infrastructure that aids in disease prevention activities (such as crushing pens) can improve One Health farming outputs (such as improving herd numbers, increasing income from weaner sales, and reducing the disease burden). However, these interventions do not have the desired significant positive impacts on cattle nutrition or feed density. Therefore, some well-intended interventions also have undesirable effects on One Health farming outputs. The results suggest One Health trade-offs within the production system and emphasizes that decision-makers across all levels must clearly define their individual and collective goals when adopting a One Health strategy.

Characterization of the Cattle Production Systems in the Department of Cundinamarca (Colombia), Proposals for Sustainability

The aim of this document is to analyze the bovine production systems in the Department of Cundinamarca (Colombia) as an initial part of the strategic plan to implement sustainable and efficient technological proposals in this region of the Andes. Descriptive and productive agricultural data related to bovine production of the 116 municipalities were analyzed using a multivariate analysis method (principal component, cluster and variance analysis). The information contained quantitative variables regarding three topics: general information (geographical, cadastral and productive), a municipal bovine inventory, and productive information about the cattle farms. The analysis enabled us to generate three clusters of bovine production systems as follows: Cluster 1, representative of the dual-purpose activity, made up of 48 medium-climate municipalities, of which 64.6% of the municipal farms correspond to dual-purpose production with an average farm size of 5.2 ha, a carrying capacity of 1.2 UGM/ha and milk production per cow of 7.75 L/d; Cluster 2, made up of 36 cold-climate municipalities dedicated mainly to dairy production on farms (65.9%) of approximately 3.8 ha, with a carrying capacity of 2.3 UGM/ha and milk production per cow of 14.34 L/d.; and Cluster 3, made up of 32 warm-climate municipalities dedicated mainly to beef production on farms. In this cluster, 66.6% of the farms correspond to beef production of approximately 8.5 ha, with a carrying capacity of 1.2 UGM/ha and milk production of 6.35 L/d. Colombia’s climatic diversity and the wide range of bovine livestock activities are among the main strengths that make up the system’s advantages. However, the low technological development in the majority of the bovine livestock farms, which is related to variables such as low carrying capacity, as in Clusters 1 and 3 and with the low employment generated by bovine production in Colombia, are opportunities to improve the livestock industry. It is advisable to continue working to obtain data on important aspects of the system such as technology, nutrition, reproductive management (including artificial insemination), the economy and environmental and social aspects, in order to delve deeper into the sustainability of productive systems.

288 Awardee Talk: Vaginal Microbiomes of Lactating Dairy Cattle Bred Utilizing Timed Artificial Insemination Or Estrus Expression

Abstract Within the cattle industry, implementation of timed artificial insemination (TAI) or estrus detection protocols aid in determining the optimal breeding date. However, previous studies utilizing both breeding strategies have found differences between pregnancy rates, further emphasizing pregnancy establishment as a prominent issue in cattle production systems. Recent research has begun to evaluate the role of the female reproductive microbiome as it pertains to pregnancy establishment in cattle. It has been demonstrated that shifts in the female reproductive bacterial communities may alter pregnancy outcomes in cattle. Therefore, the objective of this work was to evaluate vaginal microbiomes on day of artificial insemination (AI) in dairy cattle bred utilizing either TAI or estrus detection and the impacts on subsequent pregnancy outcomes. Lactating Holstein cows (104 days in milk) were classified into two groups based on breeding protocols: 1) TAI (n = 44), and 2) Heat (n = 9). On day of AI, sterile swabs were inserted into the vagina, rotated eight times, and subsequently stored at -80°C in sterile collection tubes for microbiome analysis. For microbiome analysis, the V4 hypervariable region of the 16S rRNA bacterial gene was targeted. Statistical analysis for microbiome data were conducted using PROC TTEST in SAS where equality of variances was performed. Pregnancy rates by TAI versus Heat were 56.8% and 33.3%, respectively. The phylum Firmicutes had greater relative abundance in cows bred by Heat (64.1 ± 2.3% vs. 53.9 ± 2.5%, respectively; P &amp;lt; 0.01) compared with phyla Proteobacteria (7.1 ± 0.8% vs. 13.7 ± 1.7%), Fusobacteria (0.9 ± 0.3% vs. 5.8 ± 1.5%), and Actinobacteria (1.8 ± 0.3% vs. 3.2 ± 0.5%) which had a greater relative abundance in cows bred by TAI (P &amp;lt; 0.01). Within Firmicutes, genera Ruminococcus (13.0 ± 1.0% vs. 8.5 ± 0.6%), Blautia (10.3 ± 0.7% vs. 8.0 ± 0.5%), Clostridium (5.8 ± 0.2% vs. 4.9 ± 0.3%), Oscillospira (2.2 ± 0.2% vs. 1.7 ± 0.1%), and Caloramator (2.1 ± 0.1% vs. 1.7 ± 0.1%) were all greater in relative abundance in cows bred by Heat compared with cows bred by TAI (P &amp;lt; 0.05). Interestingly, within Fusobacteria, genera Sneathia (0.6 ± 0.3% vs. 3.5 ± 1.0%) and Fusobacterium (0.2 ± 0.1% vs. 1.5 ± 0.5%) were greater in relative abundance in cows bred by TAI (P &amp;lt; 0.01). Within phyla Proteobacteria and Bacteroidetes, genera Gallibacterium and Porphyromonas respectively, were both greater in relative abundance in cows bred by TAI (P &amp;lt; 0.05). Collectively these results indicate that the vaginal microbiomes of lactating dairy cows bred via TAI or estrus expression differs. Additionally, a shift in the vaginal microbiome to a prevalence of the phylum Firmicutes on day of AI appears to be negatively impacting pregnancy outcomes.