Semina: Ciências Agrárias (Aug 2015)

Genotype-environment interaction of maternal influence characteristics in Nellore cattle bred in the Brazilian humid tropical regions by reaction norm

  • Jorge Luís Ferreira ,
  • Fernando Brito Lopes ,
  • Thaymisson Santos de Lira ,
  • José Américo Soares Garcia ,
  • Raysildo Barbosa Lôbo ,
  • Roberto Daniel Sainz

DOI
https://doi.org/10.5433/1679-0359.2015v36n4p2787
Journal volume & issue
Vol. 36, no. 4
pp. 2787 – 2798

Abstract

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Reaction Norm (RN) is the study of genotype-environment interaction (GxE) that complies with alternative ways of genotypes within different environments. This study was carried out to verify GxE by a reaction norm model of weights at 120 (W120) and 210 (W210) days of age in Nellore cattle raised in the Humid Tropical Regions of Brazil. Environmental gradients were obtained by solutions of contemporary groups which were fitted as co-variables in the random regression model via reaction norms. Mean weight at 120 days of age was 127.97 kg, and environmental gradients ranged between -27 and +26 kg. Average was 185.60 kg at 210 days of age and gradients ranged from -54 to +55 kg. Scale changes in the breeding values and heritability estimates occurred along the gradients for the two weights; the genetic correlations between breeding value breeding values were also similar for both weights. These correlations were high between the close gradients, and low to even negative between extreme environments. Slopes representing the environmental sensitivity were high, with changes of scale and changes in classification of ten bulls with a great numbers of calves for the two traits. When regression slopes of the ten bulls with the highest breeding value breeding values were evaluated, these values were different in W120 from those in W210, perhaps due to the greater influence of maternal effect on W120. These results characterize the influence of GxE on the pre-weaning weights of animals in the humid tropical regions of Brazil. Due to this, it is possible to get greater precision on the predictions of the animals breeding values breeding value. A less biased selection and a greater genetic progress occurred.

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