Literature DB >> 15753330

Genetic analysis of carcass traits of steers adjusted to age, weight, or fat thickness slaughter endpoints.

A Ríos-Utrera1, L V Cundiff, K E Gregory, R M Koch, M E Dikeman, M Koohmaraie, L D Van Vleck.   

Abstract

Carcass measurements from 1,664 steers from the Germ Plasm Utilization project at U.S. Meat Animal Research Center were used to estimate heritabilities (h(2)) of, and genetic correlations (r(g)) among, 14 carcass traits adjusted to different endpoints (age, carcass weight, and fat thickness): HCW (kg), dressing percent (DP), adjusted fat thickness (AFT, cm), LM area (LMA, cm(2)), KPH (%), marbling score (MS), yield grade (YG), predicted percentage of retail product (PRP), retail product weight (RPW, kg), fat weight (FW, kg), bone weight (BNW, kg), actual percentage retail product (RPP), fat percent (FP), and bone percent. Fixed effects in the model included breed group, feed energy level, dam age, birth year, significant (P < 0.05) interactions, covariate for days on feed, and the appropriate covariate for endpoint nested (except age) within breed group. Random effects in the model were additive genetic effect of animal and total maternal effect of dam. Parameters were estimated by REML. For some traits, estimates of h(2) and phenotypic variance changed with different endpoints. Estimates of h(2) for HCW, DP, RPW, and BNW at constant age, weight, or fat thickness were 0.27, -, and 0.41; 0.19, 0.26, and 0.18; 0.42, 0.32, and 0.50; and 0.43, 0.32, and 0.48, respectively. Magnitude and/or sign of r(g) also changed across endpoints for 54 of the 91 trait pairs. Estimates for HCW-LMA, AFT-RPW, LMA-YG, LMA-PRP, LMA-FW, LMA-RPP, and LMA-FP at constant age, weight, or fat thickness were 0.32, -, and 0.51; -0.26, -0.77, and -; -0.71, -0.89, and -0.66; 0.68, 0.85, and 0.63; -0.16, -0.51, and 0.22; 0.47, 0.57, and 0.27; and -0.44, -0.43, and -0.18, respectively. Fat thickness was highly correlated with YG (0.86 and 0.85 for common age and weight) and PRP (-0.85 and -0.82 for common age and weight), indicating that selection for decreased fat thickness would improve YG and PRP. Carcass quality, however, would be affected negatively because of moderate r(g) (0.34 and 0.35 for common age and weight) between MS and AFT. Estimates of h(2) and phenotypic variance indicate that enough genetic variation exists to change measures of carcass merit by direct selection. For some carcass traits, however, magnitude of change would depend on effect of endpoint on h(2) and phenotypic variance. Correlated responses to selection would differ depending on endpoint.

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Year:  2005        PMID: 15753330     DOI: 10.2527/2005.834764x

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


  5 in total

1.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

2.  Effect of carcass traits on carcass prices of holstein steers in Korea.

Authors:  M Alam; K H Cho; S S Lee; Y H Choy; H S Kim; C I Cho; T J Choi
Journal:  Asian-Australas J Anim Sci       Date:  2013-10       Impact factor: 2.509

3.  Market weight, slaughter age, and yield grade to determine economic carcass traits and primal cuts yield of Hanwoo beef.

Authors:  Ki-Mun Kwon; Kim Margarette C Nogoy; Hwa-Eun Jeon; Seung-Ju Han; Hee-Chan Woo; Sung-Min Heo; Hyoung Ki Hong; Jae-Ik Lee; Dong Hoon Lee; Seong Ho Choi
Journal:  J Anim Sci Technol       Date:  2022-01-31

4.  Genetic relationships of carcass traits with retail cut productivity of hanwoo cattle.

Authors:  Daeyoung Koh; Jeongkoo Lee; Seunggun Won; Chaeyoung Lee; Jongbok Kim
Journal:  Asian-Australas J Anim Sci       Date:  2014-10       Impact factor: 2.509

5.  Genetic Parameter Estimates of Carcass Traits under National Scale Breeding Scheme for Beef Cattle.

Authors:  ChangHee Do; ByungHo Park; SiDong Kim; TaeJung Choi; BohSuk Yang; SuBong Park; HyungJun Song
Journal:  Asian-Australas J Anim Sci       Date:  2016-03-22       Impact factor: 2.509

  5 in total

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