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      Development of optimal genetic evaluations for teat and udder structure in Canadian Angus cattle

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          Abstract

          Despite their heritability and influence on female productivity, there are currently no genetic evaluations for teat and udder structure in Canadian Angus cattle. The objective of this study was to develop optimal genetic evaluations for these traits in the Canadian Angus population. Guidelines recommended by Beef Improvement Federation ( BIF) were used to score teat and udder structure in 1,735 Canadian Angus cows from 10 representative herds. Cows scored ranged in parity from 1 to 13; however, >70% of cows were parity ≤4. Scores ranged from 1 (large, bottle shaped) to 9 (very small) for teats and from 1 (very pendulous) to 9 (very tight) for udders. Consistent with parity distribution, >70% of teat and udder scores were ≥6. Teat and udder scores (TS 9 and US 9, respectively) were modeled using a multiple trait animal model with random effects of contemporary group (herd-year-season) and additive genetic effect, and fixed effects of breed, parity group, and days between calving and scoring. To test good versus poor structure, a binary classification of 1 or 2 (TS 2, US 2) [comprised of scores 1 to 5 = 1 (poor structure) and scores 6 to 9 = 2 (good structure)] was created. Further, to assess the impact of grouping less frequently observed poor scores, a 1 to 7 scale (TS 7, US 7) was created by combining teat and udder scores 1 to 3. Analyses for teat and udder scores on scales TS 9, US 9, TS 7, US 7, and TS 2, US 2 were compared. In addition, both threshold and linear animal models were used to estimate variance components for the traits. Data treatment and models were evaluated based on correlation of resulting estimated breeding value (EBV) with corrected phenotypes, Spearman’s rank correlation coefficient, average EBV accuracies ( r), and deviance information criteria (DIC). TS 9, US 9 scales for teat and udder scores and linear models performed best. Estimates of heritability (SE) for teat and udder score were 0.32 (0.06) and 0.15 (0.04), respectively, indicating these traits were moderately heritable and that genetic improvement for teat and udder scores was possible. Estimates of phenotypic and genotypic correlations for teat and udder score were 0.46 (0.02) and 0.71 (0.09), respectively. Estimates of genotypic correlations with birth weight ( BW), weaning weight ( WW), and yearling weight ( YW), ranged from −0.04 (0.10) to −0.20 (0.12), verifying the importance of selecting for improved teat and udder score as individual traits, alongside performance traits.

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          Bayesian analysis of twinning and ovulation rates using a multiple-trait threshold model and Gibbs sampling.

          The Multiple-Trait Gibbs Sampler for Animal Models programs were extended to allow analysis of ordered categorical data using a Bayesian threshold model. The algorithm is based on data augmentation, where a value on the unobserved underlying normally distributed variable (liability) is generated in each round of iteration for each categorical observation. The programs allow analysis of several continuous and ordered categorical traits. Categorical traits can have any number of response levels. Models can be different for each trait. The programs were used to analyze twinning and ovulation rates from a herd of cattle selected for twinning rate at the U.S. Meat Animal Research Center. Data included number of calves born at each parturition for the lifetime of a cow and number of eggs ovulated for several estrous cycles before first breeding as heifers. A total of 6,411 calvings was recorded for 2,087 cows with 83.2% single and 16.8% multiple births. A total of 19,849 ovulations was recorded for 2,332 heifers with 85.2% single and 14.8% multiple ovulations. Mean posterior estimates of heritability and fraction of variance accounted for by permanent environmental effects (PE) were .128 and .103 for twinning rate and .168 and .079 for ovulation rate. Mean posterior estimate of genetic correlation was .808, and correlation of PE effects was .517. Use of a threshold model could allow for more rapid genetic improvement of the twinning herd through improved identification and selection of genetically superior animals because of higher heritability on the underlying scale.
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            Passive immune status at postpartum hour 24 and long-term health and performance of calves.

            We quantified the effect of passive immune status on pre- and postweaning health and growth performance of calves raised in a beef production environment. Blood samples were collected at postpartum hour 24 from 263 crossbred calves for determination of plasma protein (PP) and serum IgG concentrations. Serum IgG concentration was classified as adequate (> 1,600 mg/dl), marginal (800 to 1,600 mg/dl), or inadequate ( or = 4.8 g/dl) or inadequate (< 4.8 g/dl). Morbidity and mortality events in the study population were monitored from birth to weaning, and after weaning throughout the feeding period. The lowest concentrations of serum IgG and PP were observed among calves that experienced morbidity or mortality prior to weaning. Calves that experienced morbidity in the feedlot had lower 24-hour PP values, but had IgG concentration similar to that in calves that were not observed to be ill during the feeding period. Calves classified as having inadequate IgG concentration were at greater risk of preweaning mortality (odds ratio [OR] = 5.4), neonatal morbidity (OR = 6.4), and preweaning morbidity (OR = 3.2), compared with calves classified as having adequate IgG concentration at 24 hours. Calves classified as having inadequate PP concentration at 24 hours had a greater risk of morbidity (OR = 3.0) and respiratory tract morbidity (OR = 3.1) while in the feedlot, compared with calves classified as having adequate PP concentration. The effects of 24-hour passive immune status on calf growth were indirect through effects on morbidity outcomes.(ABSTRACT TRUNCATED AT 250 WORDS)
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              Growth and development of the mammary glands of livestock: a veritable barnyard of opportunities.

              The mammary glands of all mammals are rich and diverse in their histomorphogenesis, developmental biology, genomics and metabolism. Domesticated livestock comprise a unique population for the analysis of mammary gland and lactation biology, where much of what has been learned about these topics originates from studies of these species. However, with the strong trend toward using rodents as flexible and attractive models for normal mammary biology and cancer, there is a growing void of new information related to biology of the mammary glands in these relevant and informative domestic livestock. In turn, this trend threatens to reduce opportunities to either capitalize on an abundance of pre-existing data or to apply this information to studies of lactation and cancer. Herein we review the unique and discerning features of mammary gland development in several domestic livestock species including cows, sheep and pigs and provide an overview of the factors regulating it. At the same time we discuss some of the key considerations for studying these species, their limitations, and the associated opportunities. From such an analysis it quickly becomes clear that much remains to be learned about the mammary glands of domestic livestock, particularly given their many similarities to the human breast, the unique biological mechanisms they employ, and the phenotypic variation they afford. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                J Anim Sci
                J. Anim. Sci
                jansci
                Journal of Animal Science
                Oxford University Press (US )
                0021-8812
                1525-3163
                November 2019
                09 October 2019
                09 October 2019
                : 97
                : 11
                : 4445-4452
                Affiliations
                [1 ] Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary , Calgary, Canada
                [2 ] Department of Agricultural, Food and Nutritional Science, University of Alberta , Edmonton, Canada
                [3 ] AbacusBio International Ltd, Roslin Innovation Centre , East Bush, Midlothian, Edinburgh, UK
                Author notes
                Corresponding author: karin.orsel@ 123456ucalgary.ca
                Article
                skz314
                10.1093/jas/skz314
                6827401
                31598680
                0ec2d116-e257-4029-bd33-122bc93ec079
                © The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 28 May 2019
                : 03 October 2019
                Page count
                Pages: 8
                Funding
                Funded by: Agriculture and Agri-Food Canada 10.13039/501100000040
                Funded by: Alberta Livestock and Meat Agency 10.13039/501100002715
                Funded by: Alberta Agriculture and Forestry 10.13039/100012236
                Funded by: Canadian Angus Association
                Categories
                Animal Genetics and Genomics

                beef cattle,categorical traits,cow longevity,genetic selection,heritability,udder score

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