TY - JOUR
T1 - Bivariate analysis for the improvement of genetic evaluations with incomplete records in Charolais cattle
AU - Herrera-Ojeda, Jessica
AU - Parra-Bracamonte, Gaspar M.
AU - López-Villalobos, Nicolás
AU - Herrera-Camacho, José
AU - Orozco-Durán, Karlos E.
N1 - Publisher Copyright:
©The Author(s), Journal MVZ Cordoba 2021. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/), lets others remix, tweak, and build upon your work non-commercially, as long as they credit you and license their new creations under the identical terms.
PY - 2021
Y1 - 2021
N2 - 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 (p̌0.001). 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.
AB - 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 (p̌0.001). 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.
KW - Incomplete records
KW - culling selection
KW - live weights
UR - http://www.scopus.com/inward/record.url?scp=85103130815&partnerID=8YFLogxK
U2 - 10.21897/rmvz.2128
DO - 10.21897/rmvz.2128
M3 - Artículo
AN - SCOPUS:85103130815
SN - 0122-0268
VL - 26
SP - 1
EP - 8
JO - Revista MVZ Cordoba
JF - Revista MVZ Cordoba
IS - 2
ER -