Literature DB >> 22247112

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

F F Cardoso1, R J Tempelman.   

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 M(1), 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 M(2), a 2-step procedure was implemented using the contemporary group posterior means of M(1) 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 M(3). Additionally, we extended M(3) to allow for residual heteroskedasticity using an exponential function (M(4)) and the best fitting (smallest DIC) environmental classification model (M(5)) specification. Finally, M(6) added just heteroskedastic residual variance to M(1). 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 M(1) and by the best fitting RN models M(3) (homoskedastic) and M(5) (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.

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Year:  2012        PMID: 22247112     DOI: 10.2527/jas.2011-4333

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  20 in total

1.  Genotype × environment interactions in reproductive traits of Nellore cattle in northeastern Brazil.

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Journal:  Trop Anim Health Prod       Date:  2016-06-24       Impact factor: 1.559

2.  Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model.

Authors:  El Hamidi Hay; Andy Roberts
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

3.  Reaction norm for yearling weight in beef cattle using single-step genomic evaluation.

Authors:  D P Oliveira; D A L Lourenco; S Tsuruta; I Misztal; D J A Santos; F R de Araújo Neto; R R Aspilcueta-Borquis; F Baldi; R Carvalheiro; G M F de Camargo; L G Albuquerque; H Tonhati
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

4.  Interactions between sire family and production environment (temperate vs. tropical) on performance and thermoregulation responses in growing pigs.

Authors:  R Rosé; H Gilbert; T Loyau; M Giorgi; Y Billon; J Riquet; D Renaudeau; J-L Gourdine
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

5.  Reaction norm model to describe environmental sensitivity across first lactation in dairy cattle under tropical conditions.

Authors:  Annaiza Braga Bignardi; Lenira El Faro; Rodrigo Junqueira Pereira; Denise Rocha Ayres; Paulo Fernando Machado; Lucia Galvão de Albuquerque; Mário Luiz Santana
Journal:  Trop Anim Health Prod       Date:  2015-07-05       Impact factor: 1.559

6.  Random regression of Hereford percentage intramuscular fat on geographical coordinates.

Authors:  Jose S Delgadillo Liberona; John M Langdon; Andy D Herring; Harvey D Blackburn; Scott E Speidel; Stacy Sanders; David G Riley
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

7.  The effect of Brahman genes on body temperature plasticity of heifers on pasture under heat stress.

Authors:  Raluca G Mateescu; Kaitlyn M Sarlo-Davila; Serdal Dikmen; Eduardo Rodriguez; Pascal A Oltenacu
Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

8.  Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.

Authors:  Bárbara M Nascimento; Roberto Carvalheiro; Rodrigo de A Teixeira; Laila T Dias; Marina R S Fortes
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

9.  Multi-trait linear reaction norm model to describe the pattern of phenotypic expression of some economic traits in beef cattle across a range of environments.

Authors:  Mário Luiz Santana; Joanir Pereira Eler; Annaiza Braga Bignardi; Alberto Menéndez-Buxadera; Fernando Flores Cardoso; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2014-09-21       Impact factor: 3.240

10.  Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models.

Authors:  Rodrigo R Mota; Robert J Tempelman; Paulo S Lopes; Ignacio Aguilar; Fabyano F Silva; Fernando F Cardoso
Journal:  Genet Sel Evol       Date:  2016-01-14       Impact factor: 4.297

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