bluuebunny/crossref_metadata_2025_split huggingface dataset:
50 Using GPS and Genomic Technology to Provide a More Accurate Estimate of Bull Power in Western Intermountain Beef Systems
Authors: Garcia Matthew D , Chapman Kim , Heaton Kevin , Dallin Josh , Rood Kerry , Thacker Eric , Hadfield Jacob , Larsen Ryan 
Published: October 2021

Abstract
The objective of this study was to utilize GPS technology and genomic parentage testing to provide a more accurate measurement of bull power in the intermountain west beef production system. Breeding seasons are typically conducted on large, remote pastures, leading to current estimates of bull:cow ratios (1:20 or 1:25) possibly being inaccurate. With advances in genetic testing, parentage of calves can be obtained allowing producers to review which calves were sired from specific bulls, or how many cows each bull serviced (bull power). Our study fit 5 bulls from the same herd with GPS collars and collected hair samples for future DNA extraction prior to the 2018 breeding season. Bull movement was tracked over a 90-day breeding season on a large grazing allotment on the southern Utah and northern Arizona border. The GPS collars collected measurements of total distance traveled per day and distance traveled away from water, along with geocoordinates. Upon completion of the breeding season, collars were removed and data retrieved. At calving, biological material was collected and parentage testing of 104 calves was conducted and parentage determined. Results of parentage testing revealed that actually 6 bulls sired calves during the 2018 breeding season. The ranch’s bulls sired 72 (69%) calves (30, 16, 14, 10 and 2 calves, respectively). Thirty-two (31%) calves were sired by bulls from herds that grazed nearby. Interesting to note is the producer was unaware of any non-herd bulls co-mingling with this herd. While results from the current study are very preliminary, they do validate the importance of verifying bull power and sire identification to critically evaluate sire performance and increase the accuracy of selection in breeding replacements. The information presented herein may prove useful as a future selection tool to identify bulls that are high performing during breeding season in the intermountain west.
54 Genetics Reloaded: Large-scale Collection of Novel Phenotypes in Turkey
Authors: Baes Christine F , van Staaveren Nienke , Makanjuola Bayode , Leishman Emily M , Abdalla Emhimad , Vanderhout Ryley J , Barbut Shai , Harlander Alexandra , Wood Ben 
Published: October 2021

Abstract
Effective application of genomic selection methodologies require genomic information, population-based pedigree data, and high-quality phenotypes. The implementation of such selection programs can increase the accuracy of breeding values, therefore improving the ability to estimate the genetic merit of livestock. In particular, traits with low heritability are amenable to genomic selection. The objective of this presentation is to outline improvement of traits such as livability, disease resistance, fertility, and other health and welfare traits in turkeys, which could considerably advance breeding programs. The aim of this study was to apply different methodologies (ssGBLUP, random regression approaches, etc.) to novel and conventional traits collected in commercial turkey lines (15,000 turkeys genotyped at 65K). This reference population was used to assess the increase in accuracy of selection using genomic information, which ranged from 0 to +0.3, depending on the trait. A further goal of the study was to monitor inbreeding within the different lines. A large number of high-quality phenotypes related to fertility, growth, production, and carcass composition were collected, as well as additional health and behaviour phenotypes related to livability. These traits are being developed for use in performance testing. Furthermore, meat quality (e.g. white striation, water holding capacity, pH, sheer force and colour, etc.) and total carcass composition phenotypes were analysed. With improved methodology, more detailed phenotypic information, and comprehensive data collection and integration, we present more accurate selection of parent stock for application in applied poultry breeding programs.
64 Feeding Chicory-plantain Silage and Se-yeast on Lactating Ewe Subjected to Intramammary Infection: Effect on Performance and Milk Quality
Authors: Ford Hunter , Bionaz Massimo , Ates Serkan , Klopfenstein Joe , Vanegas Jorge , Hernandez Gracia Puerto , Stowell Callan , Tafoya Paige , McCann Michele , Bozkus Mustafa 
Published: October 2021

Abstract
Our objective was to test the effect on milk yield and quality of feeding a combination of chicory-plantain and Se-yeast in lactating ewes subjected to intramammary infection (IMI). For this purpose, we enrolled 28 Polypay ewes from a prior study where they received chicory (CS) or grass (GC) silage and supplemented with 3.6 mg of Se/day as Se-yeast (DiaMune, Diamond V) (Y) or not (C) for 2 months. For the present study, ewes were kept on the original dietary regiment except the CS group received a chicory-plantain silage (50% each). Ewes were milked twice daily and milk was collected for analysis of components and somatic cell count (SCC). IMI was induced by injecting 2×107 CFU of Strep. uberis in both glands. Data were analyzed using GLIMMIX (SAS) with time, silage, and Se and their interactions as the fixed effects and ewe as random effect with significance declared P ≤ 0.05. SCC increased 8-fold 24h post-IMI and remained at that level until the end of the experiment with higher values pre-IMI in GC-Y animals but no difference post-IMI. Milk yield drastically decreased post-IMI but was not affected by treatments. Protein, fat, solids, amount of de novo fatty acids, and amount of C16:0 were larger in milk of ewes fed chicory-plantain compared to grass silage. Supplementation of Se had minor effect on milk components with a tendency (P = 0.07) to decrease fat, solids, and amount of de novo fatty acids. Amounts of C18:0, C18:1, and preformed fatty acids in milk were increased by Se supplementation in ewes fed grass while decreased in ewes fed chicory. The use of Strep. uberis was effective in inducing IMI in ewes with chicory-plantain improving several milk components while Se supplementation had minor effects. The combination of chicory and Se did not improve the response to IMI.
68 Effects of Intranasal or Parenteral Respiratory Vaccination Administered on Arrival or Delayed in Auction-derived Feedlot Heifers
Authors: McAllister Hudson , Halsted Sherri , Parks Tim , Streeter Marshall N , Hutcheson John P , Richeson John 
Published: October 2021

Abstract
Modified-live virus (MLV) vaccines are used routinely to immunize cattle against bovine respiratory disease (BRD) agents, but differences in the route and timing of MLV administration may exist. The objective was to evaluate the safety and efficacy of a parenteral or intranasal MLV administered on d 0 or 28. Three truckload blocks of heifers (initial BW=208 kg; n = 600) were randomly assigned to treatments in a 2×2 factorial. The generalized complete block design consisted of 15 pens/treatment with pen as the experimental unit and 10 animals/pen. Treatments were: 1) Nasalgen 3/Vista BVD CFP on d 0 (NAS0); 2) Vista 5 SQ on d 0 (VIS0); 3) Nasalgen 3/Vista BVD CFP on d 28 (NAS28); 4) Vista 5 SQ on d 28 (VIS28). Performance, activity, and health data were analyzed in a mixed model and a subset of 3 cattle/pen were selected for antibody titer analyses with repeated measures. Body weight and blood samples were collected on d 0, 28, and 56. No differences existed for performance outcomes (P ≥ 0.19). Activity (351.4 vs. 354.3 min/d) and rumination (282.6 vs. 285.4 min/d) time was less (P &lt; 0.01) for delayed vs. arrival vaccinated heifers. A timing × vaccine × day interaction existed (P &lt; 0.01) for IBRV-specific antibody titers such that VIS0 was greatest, NAS0 was intermediate, and VIS28 and NAS28 were least on d 28 (P &lt; 0.01). Percentage of chronically ill cattle was reduced for arrival vs. delayed (1.3 vs. 4.7%; P = 0.02) and tended (P = 0.06) to be less for VIS vs. NAS (1.7 vs. 4.3%). Arrival vaccinated heifers had a reduction in antimicrobial treatment cost (4.63 vs. $7.31; P = 0.02). These data indicate improvement in some health outcomes for the parenteral route and arrival timing of MLV respiratory vaccination but performance was not affected.
84 The Adoption of AI in the Core Scientific Cycle of Feed Research
Authors: Jacobs Marc 
Published: October 2021

Abstract
The Gartner Hype Cycle methodology highlights five self-explanatory steps through which a technological innovation needs to go: (1) innovation trigger, (2) peak of inflated expectations, (3) trough of disillusionment, (4) slope of enlightenment, and (5) plateau of productivity. It is between step 4 and 5 that any tech innovation really starts to commercially pay off. For Artificial Intelligence (AI), the possibilities and challenges are so diverse that several separate cycles now exist for distinct parts of AI development. For the Animal Sciences / Feed industry the application of AI is not straightforward. In fact, in most industries, application is not straightforward because applications equals implementation. Hence, being able to translate the pains and gains of your customer into the models that you create, and finding a way to implement it, is key and that is more than just applying AI. The majority of (animal) models in the feed industry are mechanistic by nature. Parameters are generated/updated via controlled experiments, and stochasticity is allowed via Monte Carlo simulations and scenario analyses. The validity of the model is its ability to provide usable growth/health predictions, enable least cost formulation, and provide a sustainability footprint. To further support such models, and to offer new services, we have recently begun to combine our near-infrared spectroscopy(NIR), laboratory information management system (LIMS) and mycotoxin databases with climate and geographic data to (1) predict the nutrient composition of raw materials over time, (2) enable risk assessment of mycotoxin co-contamination, (3) improve the feed evaluation of silages, (4) estimate a full nutrient profile, and (5) improve the precision of net energy estimation. In the end, if nurtured carefully, AI is just another technical leap that needs to be integrated into the core scientific cycle.
79 Statistical Graphics and Interactive Visualization in Animal Science
Authors: Morota Gota 
Published: October 2021

Abstract
Statistical graphics has advanced significantly in recent years with the development of statistical computing tools that allow us to create reports dynamically, facilitate reproducible research, and explore data interactively. In particular, data visualization is a fundamental aspect of big data analysis in animal science. However, the static nature of standard visualization limits the information that can be displayed and extracted. The objectives of this hands-on workshop are to learn how to utilize interactive visualization and investigate both global and local structures of graphs with useful zooming in and zooming out capabilities. We will use the Shiny R package, which is a web application framework for R. A Shiny application has great potential to deliver interactive data analysis and visualization in a web browser. Yet there is limited application of this type of tool in agricultural science. We will learn the capabilities of R Shiny and its use with example applications in animal science and how to aid scientific discoveries and decision-making processes using interactive data exploration tools. After taking this workshop, the participants will be able to understand the concept of R Shiny and develop a web-based interactive visualization tool. The interactive and integrative data visualization features embedded in Shiny applications offer a new resource for users to readily extract extensive information from complex data.
87 Beef Heifers Housed in Muddy Environmental Conditions Lose Body Weight and Body Condition but Meet Gestational Requirements for Fetal Growth
Authors: Nickles Kirsten , Relling Alejandro E , Garcia-Guerra Alvaro , Fluharty Francis L , Parker Anthony J 
Published: October 2021

Abstract
Beef heifers experience an exponential increase in energy requirements during late gestation. Heifers must simultaneously grow a fetus, reach mature body weight, and prepare for their first lactation. In spring calving herds, these energy demands coincide with environmental stressors. Future climate projections for the Midwest predict increased winter rainfall, creating muddy conditions. It is likely that muddy conditions increase heifer energy requirements. The increased energy requirements, if not met, may compromise growth of the heifer and fetus. The objectives of this experiment were to evaluate the effects of muddy conditions on heifer body weight (BW), body condition score (BCS), and calf birth weight. Eighteen Angus heifers (n = 9/treatment) were paired based on initial BW. One heifer from each pair was assigned to either the mud (MUD) or control (CON) treatment. Heifers in the CON treatment were housed in pens with sawdust, and heifers in the MUD treatment were housed in pens with mud (20.3 ± 7.6 cm). Heifers were housed individually, and each pair received the same dietary allowance based on the CON heifer’s BW for maintenance, growth, and gestation. From day 196 to 266 of gestation, heifers were weighed and assigned a BCS weekly. Data were analyzed as a randomized complete block design with repeated measurements (SAS 9.4). On day 196 of gestation, heifers were similar in BW and BCS (P &gt; 0.05). By day 266, MUD heifers weighed 43.5 kg less than CON heifers (P &lt; 0.01) and were assigned a BCS of 4.3 compared with CON heifers that were a BCS of 6.1 (P &lt; 0.01). Calf birth weight was not different (P = 0.21). Heifers in both treatments were able to maintain fetal growth, however, MUD heifers did not meet their energy requirements and had decreased BW and BCS compared with the CON heifers.
86 Anthelmintic Resistance in Angus Bulls Participating in Regional Performance Tests
Authors: Rohrbaugh Roger T , Greiner Scott P , Bowdridge Scott A 
Published: October 2021

Abstract
Resistance to anthelmintics, more commonly referred to as “de-wormers,” has been on the rise in parasites that affect cattle. Parasite infection can have severe impacts on calf productivity resulting in reduced profitability. Therefore, we sought to better understand anthelmintic resistance in Appalachia by surveying Angus bulls entering performance tests in VA and WV. During a four-year period, over 1050 Angus bulls were tested at bull development facilities in Wardensville, WV, Culpeper, VA, and Wytheville, VA. Fecal samples were collected at arrival and 14 days later for determination of fecal egg count (FEC) reduction. Upon arrival, all bulls received either fenbendazole (Wardensville, WV) or moxidectin (both VA tests). In Wardensville, treatment with albendazole had a 96.7% FEC reduction, whereas, treatment with moxidectin at Culpeper and Wytheville stations resulted in FEC reduction of 29% and 34.9%, respectively. Gain during these 14 days was significantly lower for bulls from Wytheville (0.87 kg/d) than those of Culpeper and Wardensville (1.87 and 2.1 kg/d; respectively). These data can be partially explained by higher bull FEC after treatment in Wytheville (101 eggs/g) compared to bulls in Wardensville and Culpeper (3.4 and 46.4 eggs/g respectively). Additionally, there was a negative correlation between delivery FEC and average daily gain. Taken together these data demonstrate resistance to moxidectin in bulls from the Appalachian region, and that elevated parasite infection may have contributed to reduced gain during the transition period.
104 Epigenetic Changes Due to Environmental Toxicants: An Animal Health Concern
Authors: Rosenfeld Cheryl S 
Published: October 2021

Abstract
Endocrine disrupting chemicals (EDCs) mimic natural hormones in the body, but they are not subject to normal homeostatic regulatory mechanisms. One such EDC that is particularly important in animal and human health is bisphenol A (BPA) that is an industrial chemical used to harden plastic, and thus, it is prevalent in many common household items. Notably, BPA, and likely other EDCs, persist in the environment. Besides binding to steroid and non-steroid receptors, BPA and other EDCs may induce epigenetic changes directly or by affecting gut bacteria that can promote such host changes. The objective of current studies was to determine whether developmental exposure to BPA and/or genistein, a phytoestrogen, induce persistent epigenetic and transcriptomic changes in various brain regions and the placenta. Additionally, the ability of these chemicals to alter gut microbiota and gut metabolites that may trigger such epigenetic alterations were investigated. Animal models used to examine for such effects included California mice (Peromyscus californicus), deer mice (Peromyscus maniculatus), laboratory mice (Mus musculus), and eastern painted turtles (Chrysemys picta). To link these ‘omics changes to actual phenotypic modifications, several behavioral domains were assessed in these species following developmental exposure to these compounds. Results across taxa clearly show that BPA and genistein leads to behavioral deficits, including cognitive and social impairments, anxiogenic behaviors, and reduced voluntary physical activity. Correspondingly, both chemicals transformed the epigenome and transcriptome in key brain regions and the placenta. Gut dysbiosis and stimulation of harmful bacterial metabolites ensued following early EDC exposure, and such effects persisted through adulthood. By using a one health medicine approached that evaluated various vertebrate animal species, there is solid evidence that perinatal exposure to BPA and genistein reprograms the epigenome and thereby lead to longstanding health consequences. Such findings have important veterinary and human health ramifications.
119 Awardee Talk: A Matter of the Heart: The Use of Pulses in Canine and Feline Nutrition
Authors: de Godoy Maria R 
Published: October 2021

Abstract
In the pet food industry, the popularity of plant-based protein sources has risen as consumer demand for grain-free and novel protein sources increase. However, minimal research has been conducted as regards use of pulses and their effects on acceptability and digestibility in canine and feline nutrition. In addition, market shift towards grain-free and pulse-rich diets has presented concerns about the suitability of pulses as viable protein sources. In July 2018, the FDA published a press release discussing a potential link between diets containing legumes and the development of dilated cardiomyopathy (DCM) in dogs. As such, part of our research program has focused on the 1) characterization of the macronutrient composition and protein quality of plant-based protein sources, 2) evaluation of the effects of plant-based protein sources in extruded canine and feline diets on macronutrient digestibility, and modulation of fecal microbiota and metabolites, and 3) determination of the longitudinal effects of high pulse inclusion in diets on taurine status in dogs. Pulse ingredients contained approximately 20% crude protein, and had methionine or tryptophan as the first-limiting amino acids using the precision-fed cecectomized rooster assay. When incorporated in canine and feline diets, pulses did not result in negative effects on macronutrient digestibility or fecal scores. However, shifts in fecal microbial and metabolites were observed in animals fed pulse-based in contrast with animal-based protein diets. The inclusion of 45% green lentils in extruded diets did not cause decreased plasma or whole blood taurine or methionine levels. Additionally, excess taurine was not depleted from these animals in the urine or feces. Taurine status was considered normal in these dogs, despite changes in fecal bile acid concentrations and microbiota. Although we are currently carrying out further research projects investigating potential association of pulse rich diets and canine DCM. Current research findings from our laboratory suggest the inclusion of pulses may not be the causative factor. The use of plant-based proteins as ingredients in canine and feline diets not only meet consumer demand but also provide a valuable, safe, and nutritionally adequate alternative to traditional protein sources.
145 Conservation Grazing by Goats in Eastern Oak-hickory Forest: Browsing Behavior and Forage Selectivity
Authors: Novais Wanderson , Wenner Benjamin , Block Jeremy , Simon Power , Elizabeth Porteus , Davies G Matt 
Published: October 2021

Abstract
Oak-hickory (Quercus spp. and Carya spp.) recruitment and regeneration are negatively impacted by non-natives species. Goats can provide an initial control of non-native vegetation; however, browsing behavior and preference should be studied before their introduction in the forest. Our objective was to analyze goats’ browsing behavior and preference in an eastern oak-hickory forest. We hypothesized that browsing behavior and preference are dependent on browse biomass composition and grazing duration. This study was conducted in Coshocton, Ohio, and contained two units with nine experimental plots each. Vegetation was surveyed during the summer of 2019 for biomass composition. Cluster analyses were performed using species identity and biomass. Vegetation nutritional analysis including fiber, protein, and sugar was completed. Two stocking rate densities were implemented: high (1,019 goat×day×ha-1) and low (509×goat×day×ha-1). Goats browsed for four or two days for a total of 36 days. Continuous observation was implemented to determine browsing behavior. Forage selectivity was measured using Jacob’s Selectivity Index (JSI). A linear mixed model was calculated using clusters, species, and/or grazing duration (fixed effect), experimental plots (random effect), and JSI (dependent variable). Spicebush (Lindera benzoin), multiflora rose (Rosa multiflora Thunb.), privet (Ligustrum spp.), and oriental bittersweet (Celastrus orbiculatus Thunb.) composed more than 70% of goats’ diet. Species identity, including nutritional components and physical defense mechanisms, was the most important factor in browsing selectivity. Goats preferred spicebush and privet and avoided multiflora irrespective clusters (P 0.001). In the first two days of browsing, goats favored spicebush and privet, avoided multiflora, and had a neutral preference for bittersweet (P-value 0.001). In the last two days, privet was selected and other species had a neutral selection (P 0.001). Goats will target spicebush and privet and avoid multiflora; therefore, an extended browsing period is recommended. Future studies should evaluate the effect of chemical defense mechanisms on browsing.