Bivariate analysis for the improvement of genetic evaluations with incomplete records in Charolais cattle

被引：0
|
作者：
Herrera-Ojeda, Jessica [1 ]
Parra-Bracamonte, Gaspar M. [2 ]
Lopez-Villalobos, Nicolas [3 ]
Herrera-Camacho, Jose [4 ]
Orozco-Duran, Karlos E. [1 ]
机构：
[1] Inst Tecnol Valle Morelia, Dept Ciencias Basicas, Morelia, Michoacan, Mexico
[2] Inst Politecn Nacl, Ctr Biotecnol Genom, Reynosa, Mexico
[3] Massey Univ, Sch Agr, Palmerston North, New Zealand
[4] Univ Michoacana, Inst Invest Agr & Forestales, Morelia, Michoacan, Mexico
来源：
REVISTA MVZ CORDOBA | 2021年 / 26卷 / 02期
关键词：
Incomplete records; live weights; culling selection (Sources: USDA; Tesauro ICYT de Biologia Animal); GROWTH TRAITS; CALVING EASE; GESTATION LENGTH; BIRTH-WEIGHT; BEEF-CATTLE; EXPERIMENTAL SELECTION; POSTNATAL-GROWTH; WEANING WEIGHT; PARAMETERS; POPULATIONS;
D O I：
10.21897/rmvz.2128
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
Objective: Estimate (co)variance components and genetic parameters of live weight traits and examine the effect of selection culling when using bivariate analysis in registered Charolais beef cattle. Materials and methods: The effect of incomplete data over accuracies was compared, expected progeny differences (EPD) and standard errors of prediction (SEP) were obtained and evaluated by comparing univariate and bivariate models for birth (BW), weaning (WW) and yearling (YW) weights. Results: Bivariate models for WW and YW, improved accuracies of EPDs and reduced the SEPs. Joint analysis for BW and WW increased in a 38% the accuracies and reduced SEP estimators for YW (p<0.001). Accuracies of EPD for BW obtained from univariate models were improved when BW was included in bivariate models. Conclusions: The results support the use of bivariate genetic analysis in limited or incomplete live weight indicators databases that were registered after birth, such as weaning and yearling weight.
引用
收藏
页码：01 / 08
页数：8
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