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Genotype-environment interaction in the genetic variability analysis of reproductive traits in Nellore cattle.

Authors :
Silva, Thales de Lima
Carneiro, Paulo Luiz Souza
Ambrosini, Diego Pagung
Lôbo, Raysildo Barbosa
Filho, Raimundo Martins
Malhado, Carlos Henrique Mendes
Source :
Livestock Science. Dec2019, Vol. 230, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

• The animal model showed a better adjustment for age at first calving. • Presence of complex genotype-environment interaction for scrotal circumference. • Scale effect as a form of genotype-environment interaction for gestation length. • Approximately 80% of the bulls were classified as extremely robust genotypes. • Bulls classified as extremely robust showed higher average number of progeny. The research aim was to evaluate the genotype-environment interactions (GxE) through a study of the reaction norms of Nellore cattle raised in the North and Northeast regions of Brazil at the age at first calving (AFC), with scrotal circumference at 365 and 450 days of age (SC365 and SC450), gestation length (GL) and accumulated productivity (ACP). Bayes hierarchical models with defined parameters at structured levels or stages were used. The Markov chain Monte Carlo method was used to obtain genetic parameter estimates. The environmental gradient of each trait was defined using a 99% credibility interval of the contemporary group's solutions. The animal model showed a better fit for AFC data, and the two-step reaction norms model was the best for the other characteristics. Heritabilities were 0.21 ± 0.01 for AFC; and ranged from 0.27 ± 0.04 to 0.58 ± 0.02, 0.26 ± 0.05 to 0.57 ± 0.02, 81 ± 0.03 to 0.03 ± 0.02, 0.05 ± 0.02 to 0.86 ± 0.03 along the environmental gradient for SC365, SC450, GL and ACP, respectively. Correlations between intercept and slope of the reaction norms allied with reaction norms graphic plots of the ten sires with the greatest number of calves suggest the presence of GxE complex for SC365 and SC450, and GxE scale effect for GL and ACP. However, high correlations between the environments indicate that the GxE for SC450 and ACP is of a low magnitude and its inclusion in genetic evaluations would not influence the population selection. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18711413
Volume :
230
Database :
Academic Search Index
Journal :
Livestock Science
Publication Type :
Academic Journal
Accession number :
141630439
Full Text :
https://doi.org/10.1016/j.livsci.2019.103825