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Oxford University Press, Journal of Animal Science, 7(90), p. 2130-2141, 2012

DOI: 10.2527/jas.2011-4333

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Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction

Journal article published in 2012 by F. F. Cardoso ORCID, R. J. Tempelman
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract The objectives of this work were to assess alternative linear reaction norm (RN) models for genetic evaluation of Angus cattle in Brazil. That is, we investigated the interaction between genotypes and continuous descriptors of the environmental variation to examine evidence of genotype by environment interaction (G×E) in post-weaning BW gain (PWG) and to compare the environmental sensitivity of national and imported Angus sires. Data were collected by the Brazilian Angus Improvement Program from 1974 to 2005 and consisted of 63,098 records and a pedigree file with 95,896 animals. Six models were implemented using Bayesian inference and compared using the Deviance Information Criterion (DIC). The simplest model was M1, a traditional animal model, which showed the largest DIC and hence the poorest fit when compared with the 4 alternative RN specifications accounting for G×E. In M2, a 2-step procedure was implemented using the contemporary group posterior means of M1 as the environmental gradient, ranging from −92.6 to +265.5 kg. Moreover, the benefits of jointly estimating all parameters in a 1-step approach were demonstrated by M3. Additionally, we extended M3 to allow for residual heteroskedasticity using an exponential function (M4) and the best fitting (smallest DIC) environmental classification model (M5) specification. Finally, M6 added just heteroskedastic residual variance to M1. Heritabilities were less at harsh environments and increased with the improvement of production conditions for all RN models. Rank correlations among genetic merit predictions obtained by M1 and by the best fitting RN models M3 (homoskedastic) and M5 (heteroskedastic) at different environmental levels ranged from 0.79 and 0.81, suggesting biological importance of G×E in Brazilian Angus PWG. These results suggest that selection progress could be optimized by adopting environment-specific genetic merit predictions. The PWG environmental sensitivity of imported North American origin bulls (0.046 ± 0.009) was significantly larger (P < 0.05) than that of local sires (0.012 ± 0.013). Moreover, PWG of progeny of imported sires exceeded that of native sires in medium and superior production levels. On the other hand, Angus cattle locally selected in Brazil tended to be more robust to environmental changes and hence be more suitable when production environments for potential progeny is uncertain.