bluuebunny/crossref_metadata_2025_split huggingface dataset:
180 Effect of Providing Liquid Milk Replacer During Lactation to Litters of Different Size on Piglet Pre-Weaning Performance
Authors: Willard Naomi C , Moest Nicole K , Shull Caleb M , McKilligan Denny , Ellis Mike 
Published: October 2023

Abstract
Larger litter sizes in commercial sows are generally associated with greater pre-weaning mortality (PWM) and lower piglet weaning weight (WW). Providing liquid milk replacer (MR) to piglets during lactation has been advocated for reducing PWM and increasing WW. The objective was to evaluate the effect of providing MR (using an automated feeder) to litters of different size on PWM and WW. A split-plot design with a 2 x 2 factorial arrangement of treatments was used: 1) MR [main plot; No Supplement (NS) vs. Supplement (SU)]; 2) Litter Size [LS; sub-plot; LOW (4 piglets less than functional teat number) vs. HIGH (2 piglets greater than functional teat number)]. Each MR feeder was available to 2 litters, one on the LOW and one on the HIGH LS treatment. There were 26 sows and litters per MR and LS treatment. Cross-fostering was carried out 24 hours after birth to create LS treatment litters which had similar gender ratio, proportion of cross-fostered piglets, and average and CV of piglet birth weight. Milk replacer was available from 24 hours after birth (day 1; start of study) to weaning (day 20; end of study). Piglets were weighed at the start and end; all PWM was recorded. Piglet weight data were analyzed using PROC MIXED of SAS; PWM data were analyzed using PROC GLIMMIX. Models accounted for the fixed effects of MR, LS, and the interaction, and random effects of replicate and replicate by MR interaction. There was a MR by LS treatment interaction (P ≤ 0.05) for total litter WW and PWM (Table 1). The MR treatment had no effect (P &gt; 0.05) on total litter WW for the LOW LS treatment; however, for the HIGH LS treatment total litter WW was greater (P ≤ 0.05) for the SU than the NS treatment. For the NS treatment, PWM was greater (P ≤ 0.05) for the HIGH than the LOW treatment; however, PWM did not differ (P &gt; 0.05) between the LS treatments for litters that had access to MR. There was no effect (P ≤ 0.05) of MR treatment on litter size or average piglet weight at the start and end of the study. The HIGH LS treatment had greater (P ≤ 0.05) litter size at the start and end of the study, but less (P ≤ 0.05) average piglet WW. In conclusion, increasing litter size above sow functional teat number had negative effects on piglet WW. In addition, providing MR to litters during lactation increased total litter WW in the HIGH but not LOW LS treatment. These results also suggest that providing MR reduced the negative effect of the larger litter size on PWM; however, further research is needed to validate this finding.
62 The Impact of Hair Coat Color on Body Temperature in Beef Cattle
Authors: Holliday CarrieLee M , Carroll Jeff A , Sanchez Nicole C Burdick , Goerndt Michael , Walker Elizabeth , McGee Adam 
Published: October 2023

Abstract
Ambient temperature has a fundamental role in animal health and performance. Selecting for coat color may improve animal productivity and welfare through management and breeding decisions. The thermoneutral zone of cattle, 0°C - 25°C, is characterized as the range in ambient temperature that does not require cattle to expend energy to maintain core body temperature. When the ambient temperature is above or below these values, cattle must expend energy to keep their body temperature in homeostasis resulting in a reduction in efficiency. A proper herd management plan to mitigate heat stress can increase efficiency and decrease mortality in serious cases. Registered Hereford and commercial black cows (n = 39; average 4 yr of age) were placed in a 23-ha pasture, to determine if coat color affects internal body temperature. Cattle were on a typical fescue dominated pasture located in Mountain Grove, MO, with areas of shade and one pond centralized in the pasture. Cattle were divided into treatments based on hair coat color: black (n =13) or red (n = 26). Using temperature data loggers, vaginal temperatures were recorded in 5-min intervals during a 14-d period in Mid-July 2022, and combined into 6-hour timing intervals, A = 0400-1000 h, B = 1001-1600 h, C = 1601-2200 h, and D = 2201-0359 h. Environmental temperature data loggers were suspended in two locations of partial sun to record ambient temperature. In addition, the Mountain Grove weather station operated by the University of Missouri Extension provided a daily data archive that recorded wind speed, total precipitation, maximum and minimum air temperature. Throughout the study, the mean environmental temperature was 34.4°C and ranged from 19.5°C to 40.2°C. Temperature data were evaluated using the Glimmix procedure of SAS and pairwise comparisons between timepoints were determined utilizing the GLM procedure of SAS. Differences were considered significant at P = 0.05. Black-haired cattle were warmer at all intervals (P ≤ 0.04) with temperature differences between the treatments of 0.07, 0.10, 0.03, and 0.09°C for timepoints A, B, C and D, respectively (Table 1). Based on our results black-hided cattle get warmer earlier in the day and take longer to dissipate heat than those with red hair coats.
181 Effect of Mixing at Weaning and Dietary Nutrient Density on Growth Performance and Welfare of Pigs
Authors: González-Solé Francesc , Montoro Jordi Camp , Solà-Oriol David , Pérez José Francisco , Lawlor Peadar G , Boyle Laura A A , Manzanilla Edgar Garcia 
Published: October 2023

Abstract
Mixing pigs at weaning compromises animal welfare and may reduce growth performance (GP). Reducing nutrient density of the nursery diet is a strategy to avoid gastrointestinal problems in newly weaned pigs. However, the potential for compensatory growth in subsequent stages and the impact on welfare are still unknown. This study investigated the effect of mixing and reducing dietary nutrient density on GP, body lesions (BL), and behavior in pigs from weaning to slaughter. Forty-eight litters [554 pigs, 11-12 pigs/litter; Danish Duroc × (Large White × Landrace)] were included in the trial. At 28 days of age, pigs were housed in the nursery rooms as litter pens (INTACT, n = 24) or mixed with other litters by body weight to reduce variability within pen (MIXED, n = 24). A dietary regimen meeting the nutritional requirements (CON) of the pigs and a low-density regimen (LOW; -10% energy and protein) completed a 2x2 factorial arrangement (Mixing x Diet, n =12). On day 73, pigs moved to a growing-finishing room without further mixing and all pigs received the CON dietary regimen. At the beginning and at the end of each production phase, the number of BL and the frequency of aggressions and damaging behavior were determined. Data were analyzed using general linear mixed models. Mixing increased FCR by 4.0 % during the nursery period (P = 0.003; Table 1). Pigs fed LOW had decreased GP during the nursery period but better feed conversion ratio (FCR; P = 0.008) during the growing-finishing period, when all groups were fed the same diet. However, pigs fed LOW showed a lower slaughter weight (-2.6 kg; P = 0.025). Initial differences in the coefficient of variation (CV) between MIXED (10.4%) and INTACT (17.6%; P &lt; 0.001) were reduced in CON pens (6.9 % to 0.5 %) but not in LOW pens (7.9 % to 4.5 %; interaction P = 0.025) at the end of the nursery period. Pigs in MIXED pens showed 358% more BL (P &lt; 0.001), more aggressions (P = 0.005) and damaging behavior (P = 0.042) at weaning, and more aggressions (P = 0.003) after being moved to growing-finishing rooms. Animals fed LOW showed more aggressions at weaning (P &lt; 0.001) and more damaging behavior at the end of the nursery period (P &lt; 0.001). When their diet was changed to CON, they showed 14% more BL (P = 0.009) but less aggressions (P = 0.004). Mixing animals at weaning had little impact on GP, but lesions, aggressions and damaging behavior towards pen mates indicate a detrimental effect on welfare and strategies to avoid mixing should be studied. The provision of a low-density diet during the nursery period had negative effects on welfare and growth was not totally compensated during the growing-finishing period.
94 Characterizing Yearling Beef Steers Grazing on Smooth Bromegrass Pasture Using Global Positioning Technology
Authors: Heil Holly A , Zhao B , Troyer Braden C , Sjostrand Rebecca L , Xiong J , Watson Andrea K , Erickson Galen E , Okalebo J , Shi Y , Xiong Y 
Published: October 2023

Abstract
Extensive grazing systems often vary in pasture size and terrain, making it challenging for ranchers to accurately locate livestock through visual appraisal. Using satellite-based global positioning systems (GPS), accurate position data can be provided to track animal movements that could inform grazing management decisions. This study aimed to: 1) assess two modern GPS devices for functionality by calculating fix success rate, and 2) evaluate the relationship between average daily distance traveled and average daily weight gain (ADG) performance on yearling steers grazing smooth bromegrass pasture using the GPS devices. Yearling steers (n = 25) grazed a 10.8-ha smooth bromegrass pasture for 156 days from May to September 2021. The temperature ranged from 4.1 to 38.8ºC with an average 22.7ºC and received 490 mm of rainfall. Cattle ADG was 0.65 ± 0.13 kg/d. Each steer was assigned two GPS collars for 28 days to compare two types of sensors. The sensors evaluated were i-gotU GT-600 travel loggers (GU) and Yabby LoRaWAN GPS sensors (YB) utilizing the IoT (Internet of Things) technology. The YB sensor possessed real-time monitoring and remote data access, while data from the GU sensor needed to be removed from the animals and manually downloaded. The YB sensors had a manufacturer declared finest positioning accuracy of 4.6 m, while that of the GU sensor being 9.1 m. With a 10-min sampling rate, battery life of the YB sensors lasted 4 weeks, while the GU sensors demonstrated unreliable battery performance that ranged between 1 to 4 weeks. Fixed success rate (FSR) was calculated for each sensor. Using PROC MIXED of SAS (v 9.4), on average the GU sensors had a 67.1% FSR and the YB sensors observed an 89.9% FSR (P &lt; 0.0001). The YB sensor outweighed the GU sensor on battery life and FSR, thus was utilized throughout the duration of the grazing season. Individual animal traveled distance was calculated after converting the GPS coordinates in decimal degrees to Universal Transverse Mercator coordinates (WGS 1984 UTM zone 14N) in meters. The Euclidean distance between consecutive coordinates was calculated and summed daily to represent the daily traveled distance of an animal. Using all coordinates recorded from YB, steers traveled 2,718 ± 809 m/d. Statistical analysis was conducted using PROC CORR of SAS to determine the correlation between the daily averages of distance traveled and ADG. All values were considered significant α ≤ 0.05. There was no correlation observed between distance traveled and ADG (P ≥ 0.76). Results demonstrate that modern GPS sensors utilizing IoT technology have benefits over traditional GPS sensors and can be used as a tool for extensive grazing livestock tracking.
19 Formulating U.S. Swine Diets in a Time of High Energy Costs
Authors: Tokach Mike D , Goodband Robert D , DeRouchey Joel M , Woodworth Jason C , Gebhardt Jordan T 
Published: October 2023

Abstract
The cost of dietary energy has greatly increased in the last few years and this trend of historically higher prices is expected to remain in the future. This has led to shifts in diet formulation and a need to reevaluate pig responses to changing dietary energy density. As part of the evaluation, nutritionists should review whether energy loadings for their ingredients are accurate. Is the relative change in dietary energy reflected accurately by changes in feed efficiency? If there is not a 1:1 relationship between dietary energy and feed efficiency, dietary energy is not being accurately represented. Because of the linear relationship between diet energy and feed efficiency, that portion of the economic equation is easy to measure. However, the impact of dietary energy on growth performance is more difficult to predict. Does daily gain increase linearly over the entire range of possible energy levels or, if not, when does it plateau? This relationship must be known or estimated to determine the value of changes in energy density. Furthermore, if alternative ingredients with high fiber content are used, at what point does fiber content prevent pigs from increasing feed intake to maintain energy intake? Another key practical concept with energy is how fast the pig adjusts feed intake to changes in diet energy density. Over the long term, pigs adjust their level of consumption to the energy density of the diet; however, it takes time for pigs to make this adjustment. Thus, in the short term, pigs consume the same amount of total feed resulting in increased energy intake and gain if dietary energy is increased or reduced energy intake if diet energy is reduced. When changing dietary energy, the lysine:calorie ratio and phosphorus:calorie ratio should be adjusted to maintain proper amino acid and phosphorus intake to support optimum growth. The high cost of energy has increased the search for other methods to increase pig performance. The ratios of several key amino acids to Lys should be reviewed to take advantage of their impact on feed intake (e.g., Trp, Val, etc). From a practical standpoint, the rise in energy costs has led to the removal of added fat from most pig diets unless essential to maintain pellet quality. Alternative ingredients are being used wherever economical. The use of lower energy diets has also highlighted the importance of genetic improvement, health status, weaning age, and feeder design to allow for high energy intake and resulting growth rates to achieve market weights within space constraints in modern production systems.
316 Awardee Talk: Development and Assessment of Predictive Models for Improved Swine Farming
Authors: HanBayer Junjie 
Published: October 2023

Abstract
Prediction of outcomes is critical in swine breeding and management. This necessitates the development of predictive models that address challenges in swine farming. For predictive modeling, there have been significant advances in machine learning. Nevertheless, there are needs to adapt predictive models for specific swine farming problems including genomic prediction and behavior analysis. Furthermore, there is not yet a clear guideline on how to validate novel models in these fields. The overarching goal of this work was to validate a collection of predictive models for improved swine farming with applications to precision management, phenotyping, and breeding. The first study addressed the pig genomic prediction problem. Differential evolution algorithm was utilized to optimize hyperparameters of deep learning (DL) models, which affected the predictive performance of DL. Performance of optimized DL was compared with “best practice” DL architectures selected from literature and baseline DL models with randomly specified hyperparameters. Optimized models showed clear improvement. Despite the success of genomic prediction, phenotyping has become a bottleneck in breeding programs as it is still time-consuming and labor-intensive. The second study aimed at collecting a video dataset to study agonistic behavior of pigs and adapting a state-of-the-art DL pipeline to classify agonistic behaviors of pigs through video analysis. The pipeline was validated through various training-validation data partitions, where the training data were used for model development and the validation data were used for model evaluation. Results showed that splitting the training and validation sets at random led to over-optimistic estimates of model performance. Social behavior continues to be an important topic in animal behavior studies. However, less attention was paid to the modeling of animal social behavior. The last study focused on developing and validating a statistical model for the analysis of social interactions of pigs. Generalized linear mixed models were fitted, and a Bayesian framework was used for parameter estimation and posterior predictive model checking. The predictive performance of the models varied depending on the validation strategy, where three strategies were defined: random cross-validation, block-by-social-group cross-validation, and block-by-focal-animals validation. Collectively, the research items presented how state-of-the-art predictive models can be adapted for and validated in swine farming applications. The findings are also informative to livestock farming in general, as genomic prediction and animal social behavior (of group-housed animals) are popular topics in livestock species.
176 Functional Annotation of the Equine Genome: from Sample Collection to Fair Data
Authors: Petersen Jessica L , Barber Alexa , Finno Carrie J , Bellone Rebecca R , Peng Sichong , Kingsley Nicole B , Capelletti Eleonora , Piras Francesca M , Giulotto Elena , Kalbfleisch Ted 
Published: October 2023

Abstract
The equine Functional Annotation of Animal Genomes (FAANG) project has worked over the past 6 years to generate publicly available transcriptomic and epigenetic data. From biobanks of carefully phenotyped and preserved samples of four Thoroughbred horses (2 mares and 2 stallions), annotation assays are complete on a set of “prioritized” tissues. Study of four histone modification marks revealed hundreds of thousands of previously unidentified regulatory regions across the genome, providing for information on individual tissues and between sexes. ATAC-seq was used to identify open chromatin on nine tissues of each sex elucidating over 300,000 open chromatin regions. Open chromatin regions, many tissue-specific, were enriched in transcription start and stop sites, exons, and promoters of genes. In addition to regulatory regions, long-read transcriptome sequencing has helped to elucidate a wealth of new isoforms within and among tissues that have greatly improved the annotation of the coding genome. The horse also represents a unique model to study centromere function. ChIP-seq studies identified repressive histone marks and a lack of transcription near the satellite-less centromere of chromosome 11, the position of which varies among individuals but not among tissues within an individual. Not only have key genomic features been identified, but the team has developed an Equine Genome Portal. This portal allows anyone to access raw and derived data and utilize data without having to download the entire dataset or recreate analyses. This community effort continues to supplement the current genome annotation while making all data available to enrich the potential of equine and evolutionary research.
175 Building the Tools to Solve the Genome to Phenome Puzzle in Agriculture
Authors: Tuggle Christopher K , Scott Nicole , Clarke Jennifer , Murdoch Brenda M , Dekkers Jack C M , Ertl David , Lawrence-Dill Carolyn J , Lyons Eric , Schnable Patrick S 
Published: October 2023

Abstract
The USDA-NIFA is developing a vision for agricultural genomics to phenomics research (AG2P) through two programs. In 2017, the Functional Annotation of Animal Genomes (FAANG) request for proposals was released, which has provided over $9 Million in funding to groups over the past five years to create public resources for the study of regulatory and other functional elements in agriculturally important species. This effort has been extended by other countries who have contributed another $20 Million+ (equivalent). These initial resource-building efforts are providing extensive new epigenetic data that are used to better understand the function of animal genomes and to enhance animal genetic improvement. However, such research demonstrates new infrastructure is needed across the agricultural enterprise to predict phenotypes from genome information. In 2020, NIFA inaugurated the Agricultural Genome to Phenome Initiative program (AG2PI), and an important objective of this presentation is to encourage strong participation of animal genomic researchers and industry in the AG2PI project. The purpose of AG2PI is to assemble and prepare a community to conduct AG2P research across the plant and animal kingdoms. The focus of the AG2PI is: a) identifying research gaps and opportunities, b) fostering community solutions to these challenges, and c) rapidly disseminating findings. Training workshops, field days, conferences, community surveys, and seed grants have all contributed to these goals. Opinions and ideas from the crop, livestock and aquaculture genetics communities are key to advancing G2P science and related work. The AG2PI uses online community surveys and in-person conferences to gather these and to facilitate transdisciplinary communications. In September 2022, AG2PI held a conference entitled “Thinking Big: Visualizing the Future of AG2PI”, in which attendees focused small group discussions to identify which agricultural G2P-related topics are most critical for future R&D funding and which may be the most difficult to achieve. These discussions have been summarized in a concept paper for the community and shared with USDA-NIFA. A follow-up conference is planned for June 2023 in Kansas City, which we hope many members from animal genetics research and industry will attend. The future of agricultural genomics will be shaped by both the participants in AG2PI and the solutions developed by the AG2PI community. USDA NIFA awards 2022-70412-38454, 2021-70412-35233, and 2020-70412-32615.