Accuracies of direct genomic breeding values for birth and weaning weights of registered Charolais cattle in Mexico
Francisco J. Jahuey-Martínez
A B , Gaspar M. Parra-Bracamonte A F , Dorian J. Garrick C , Nicolás López-Villalobos C , Juan C. Martínez-González D , Ana M. Sifuentes-Rincón A and Luis A. López-Bustamante E
+ Author Affiliations
- Author Affiliations
A Centro de Biotecnología Genómica-Instituto Politécnico Nacional, Reynosa, Tamaulipas, 88710, México.
B Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Chihuahua, Chihuahua, 31453, México.
C School of Agriculture and Environment, Massey University, Palmerston North, New Zealand.
D Universidad Autónoma de Tamaulipas-Facultad de Ingeniería y Ciencias, 87749, Victoria, Tamaulipas, México.
E Charolais Herd-Book of Mexico-RON B Charolais Ranch, Hermosillo, Sonora, México.
F Corresponding author. Email: gparra@ipn.mx
Animal Production Science 60(6) 772-779 https://doi.org/10.1071/AN18363
Submitted: 4 June 2018 Accepted: 25 October 2019 Published: 18 March 2020
Abstract
Context: Genomic prediction is now routinely used in many livestock species to rank individuals based on genomic breeding values (GEBV).
Aims: This study reports the first assessment aimed to evaluate the accuracy of direct GEBV for birth (BW) and weaning (WW) weights of registered Charolais cattle in Mexico.
Methods: The population assessed included 823 animals genotyped with an array of 77 000 single nucleotide polymorphisms. Genomic prediction used genomic best linear unbiased prediction (GBLUP), Bayes C (BC), and single-step Bayesian regression (SSBR) methods in comparison with a pedigree-based BLUP method.
Key results: Our results show that the genomic prediction methods provided low and similar accuracies to BLUP. The prediction accuracy of GBLUP and BC were identical at 0.31 for BW and 0.29 for WW, similar to BLUP. Prediction accuracies of SSBR for BW and WW were up to 4% higher than those by BLUP.
Conclusions: Genomic prediction is feasible under current conditions, and provides a slight improvement using SSBR.
Implications: Some limitations on reference population size and structure were identified and need to be addressed to obtain more accurate predictions in liveweight traits under the prevalent cattle breeding conditions of Mexico.
Additional keywords: beef cattle, birthweight, GEBV, genomic prediction, weaning weight.
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