Literature DB >> 8376226

Fixed effects in the formation of a composite line of beef cattle: II. Pre- and postweaning growth and carcass composition.

S Newman1, M D MacNeil, W L Reynolds, B W Knapp, J J Urick.   

Abstract

Generation, age of dam, sex of calf, and certain covariates were studied to elucidate their effect on traits related to growth and carcass characters measured on individuals from a stabilized three-breed composite (1/2 Red Angus [RA], 1/4 Charolais [C], 1/4 Tarentaise [T]). There was evidence that sires had been selected for yearling weight. Thus, an animal model was fitted to the data to estimate the effects free of bias due to selection. Differences between generations were not different from zero (P > .05) for birth weight, weaning weight, and preweaning ADG. There were few important differences between generations for carcass traits as well. This may have been caused by confounding of individual and maternal heterotic effects with direct and maternal components of the model, or the partial confounding of years, age of dam, and generation. Birth weight was curvilinear with respect to calving day (P < .01). Age of dam was important for all growth traits except postweaning ADG. In general, growth of calves increased with increasing age of dam, as did carcass weight and predicted retail product. Individual breed additive effects (differences between calves sired by C and T sires mated to RA dams) were positive for birth weight (P < .01), weaning weight (P < .05), carcass weight (P < .05), and predicted retail product (P < .05). Maternal breed additive effects (differences between calves out of C x RA or T x RA dams) were also positive for weaning weight (P < .05), carcass weight (P < .05), and fat depth (P < .05).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8376226     DOI: 10.2527/1993.7182033x

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


  4 in total

1.  Genomic prediction of continuous and binary fertility traits of females in a composite beef cattle breed.

Authors:  S Toghiani; E Hay; P Sumreddee; T W Geary; R Rekaya; A J Roberts
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

2.  Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model.

Authors:  El Hamidi Hay; Andy Roberts
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

3.  A Bayesian approach for analysis of ordered categorical responses subject to misclassification.

Authors:  Ashley Ling; El Hamidi Hay; Samuel E Aggrey; Romdhane Rekaya
Journal:  PLoS One       Date:  2018-12-13       Impact factor: 3.240

4.  Increasing accuracy of genomic selection in presence of high density marker panels through the prioritization of relevant polymorphisms.

Authors:  Ling-Yun Chang; Sajjad Toghiani; Samuel E Aggrey; Romdhane Rekaya
Journal:  BMC Genet       Date:  2019-02-22       Impact factor: 2.797

  4 in total

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