Literature DB >> 18952738

Direct genetic, maternal genetic, and heterozygosity effects on weaning weight in a Colombian multibreed beef cattle population.

O D Vergara1, M F Ceron-Muñoz, E M Arboleda, Y Orozco, G A Ossa.   

Abstract

The (co)variance components of BW at weaning (WW) were estimated for a Colombian multibreed beef cattle population. A single-trait animal model was used. The model included the fixed effect of contemporary group (sex, season, and year), and covariates including age of calf at weaning, age of cow, individual and maternal heterozygosity proportions, and breed percentage. Direct genetic, maternal genetic, permanent environmental, and residual effects were included as random effects. Direct, maternal, and total heritabilities were 0.23 +/- 0.047, 0.15 +/- 0.041, and 0.19, respectively. The genetic correlation between direct and maternal effects was -0.42 +/- 0.131, indicating that there may be antagonism among genes for growth and genes for maternal ability, which in turn suggests that improving WW by direct and maternal EPD may be difficult. A greater value for the direct heterosis effect compared with the maternal heterosis effect was found. Furthermore, the greater the proportion of Angus, Romosinuano, and Blanco Orejinegro breeds, the less the WW.

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Year:  2008        PMID: 18952738     DOI: 10.2527/jas.2007-0636

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


  2 in total

1.  Equivalence of multibreed animal models and hierarchical Bayes analysis for maternally influenced traits.

Authors:  Sebastián Munilla Leguizamón; Rodolfo J C Cantet
Journal:  Genet Sel Evol       Date:  2010-06-11       Impact factor: 4.297

2.  Genetic analysis of growth traits in Polled Nellore cattle raised on pasture in tropical region using Bayesian approaches.

Authors:  Fernando Brito Lopes; Cláudio Ulhôa Magnabosco; Fernanda Paulini; Marcelo Corrêa da Silva; Eliane Sayuri Miyagi; Raysildo Barbosa Lôbo
Journal:  PLoS One       Date:  2013-09-10       Impact factor: 3.240

  2 in total

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