Literature DB >> 15032422

Evaluation of Simmental carcass EPD estimated using live and carcass data.

D H Crews1, E J Pollak, R L Quaas.   

Abstract

This study was conducted to compare carcass EPD predicted using yearling live animal data and/or progeny carcass data, and to quantify the association between the carcass phenotype of progeny and the sire EPD. The live data model (L) included scan weight, ultrasound fat thickness, longissimus muscle area, and percentage of intramuscular fat from yearling (369 d of age) Simmental bulls and heifers. The carcass data model (C) included hot carcass weight, fat thickness, longissimus muscle area, and marbling score from Simmental-sired steers and cull heifers (453 d of age). The combined data model (F) included live animal and carcass data as separate but correlated traits. All data and pedigree information on 39,566 animals were obtained from the American Simmental Association, and all EPD were predicted using animal model procedures. The genetic model included fixed effects of contemporary group and a linear covariate for age at measurement, and a random animal genetic effect. The EPD from L had smaller variance and range than those from either C or F. Further, EPD from F had highest average accuracy. Correlations indicated that evaluations from C and F were most similar, and L would significantly (P < 0.05) re-rank sires compared with models including carcass data. Progeny (n = 824) with carcass data collected subsequent to evaluation were used to quantify the association between progeny phenotype and sire EPD using a model including contemporary group, and linear regressions for age at slaughter and the appropriate sire EPD. The regression coefficient was generally improved for sire EPD from L when genetic regression was used to scale EPD to the appropriate carcass trait basis. The EPD from C and F had similar linear associations with progeny phenotype, although EPD from F may be considered optimal because of increased accuracy. These data suggest that carcass EPD based on a combination of live and carcass data predict differences in progeny phenotype at or near theoretical expectation.

Mesh:

Year:  2004        PMID: 15032422     DOI: 10.2527/2004.823661x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  3 in total

1.  Estimation of Genetic Parameters for Real-time Ultrasound Measurements for Hanwoo Cows at Different Ages and Pregnancy Status.

Authors:  J H Lee; Y M Lee; S-H Oh; H J Son; D J Jeong; Niki Whitley; J J Kim
Journal:  Asian-Australas J Anim Sci       Date:  2014-02       Impact factor: 2.509

2.  Study on Growth Curves of Longissimus dorsi Muscle Area, Backfat Thickness and Body Conformation for Hanwoo (Korean Native) Cows.

Authors:  J H Lee; S-H Oh; Y M Lee; Y S Kim; H J Son; D J Jeong; N C Whitley; J J Kim
Journal:  Asian-Australas J Anim Sci       Date:  2014-09       Impact factor: 2.509

3.  The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle.

Authors:  Bo Zhu; Miao Zhu; Jicai Jiang; Hong Niu; Yanhui Wang; Yang Wu; Lingyang Xu; Yan Chen; Lupei Zhang; Xue Gao; Huijiang Gao; Jianfeng Liu; Junya Li
Journal:  PLoS One       Date:  2016-05-03       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.