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Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models

Monday, August 18, 2014: 2:15 PM
Bayshore Grand Ballroom B-C (The Westin Bayshore)
Rodrigo Reis Mota , Univerisdade Federal de Viçosa, Viçosa, Minas Gerais State, Brazil
Robert J. Tempelman , Michigan State University, East Lansing, MI
Fernando F Cardoso , Embrapa Southern Region Animal Husbandry, Bage, Brazil
Ignacio Aguilar , INIA, Las Brujas, Uruguay
Paulo S Lopes , Universidade Federal de Viçosa, Viçosa, Brazil
Recorded Presentation (flv)
Abstract Text:  The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.

Keywords:

Cross validation

Single-step

Tick counts

See more of: Improving Difficult Traits in Beef Cattle
See more of: Species Breeding: Beef cattle
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