Phenotypic plasticity of composite beef cattle performance using reaction norms model with unknown covariate

Júnior, Mário Luiz Santana; Eler, Joanir Pereira; Cardoso, F. F.; Albuquerque, Lúcia Galvão de; Ferraz, José Bento Sterman

doi:10.1017/s1751731112001711

Cited by 45 publications

(34 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These findings indicate that the traits studied should respond satisfactorily to selection in both favorable and unfavorable environments. The same observation was made by Santana et al (2013) in a study involving the cattle population studied here and using reaction norms to evaluate the effect of G × E. s.d. = standard deviation; CG = contemporary group; S × CG = sire × contemporary group interaction; A = single-trait analysis with S × CG omitted; B = single-trait analysis with S × CG included; C = two-trait analysis with S × CG omitted; D = two-trait analysis with S × CG included; E = three-trait analysis with S × CG omitted; F = three-trait analysis with S × CG included; 1 = favorable environment; 2 = intermediate environment; 3 = unfavorable environment.…”

Section: Resultssupporting

confidence: 57%

“…The inclusion of S × CG in the model is important to account for the distribution of progeny of sires between herds and contemporary groups (Bertrand et al, 1985). The model with S × CG allows the production of only one EBV (excluding G × E) per animal unlike multi-trait model and the reaction norms model used by Santana et al (2012 and2013) to this same beef cattle population. This could limit the use of several bulls by the producers.…”

Section: Genetic Evaluation and Model Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

Genotype by production environment interaction for birth and weaning weights in a population of composite beef cattle

Júnior

Eler

Bignardi

et al. 2014

Animal

Self Cite

View full text Add to dashboard Cite

The objectives of the present study were: (1) to evaluate the importance of genotype × production environment interaction for the genetic evaluation of birth weight (BW) and weaning weight (WW) in a population of composite beef cattle in Brazil, and (2) to investigate the importance of sire × contemporary group interaction (S × CG) to model G × E and improve the accuracy of prediction in routine genetic evaluations of this population. Analyses were performed with one, two (favorable and unfavorable) or three (favorable, intermediate, unfavorable) different definitions of production environments. Thus, BW and WW records of animals in a favorable environment were assigned to either trait 1, in an intermediate environment to trait 2 or in an unfavorable environment to trait 3. The (co)variance components were estimated using Gibbs sampling in single-, bi-or three-trait animal models according to the definition of number of production environments. In general, the estimates of genetic parameters for BW and WW were similar between environments. The additive genetic correlations between production environments were close to unity for BW; however, when examining the highest posterior density intervals, the correlation between favorable and unfavorable environments reached a value of only 0.70, a fact that may lead to changes in the ranking of sires across environments. The posterior mean genetic correlation between direct effects was 0.63 in favorable and unfavorable environments for WW. When S × CG was included in two-or three-trait analyses, all direct genetic correlations were close to unity, suggesting that there was no evidence of a genotype × production environment interaction. Furthermore, the model including S × CG contributed to prevent overestimation of the accuracy of breeding values of sires, provided a lower error of prediction for both direct and maternal breeding values, lower squared bias, residual variance and deviance information criterion than the model omitting S × CG. Thus, the model that included S × CG can therefore be considered the best model on the basis of these criteria. The genotype × production environment interaction should not be neglected in the genetic evaluation of BW and WW in the present population of beef cattle. The inclusion of S × CG in the model is a feasible and plausible alternative to model the effects of G × E in the genetic evaluations.

show abstract

Section: Resultssupporting

confidence: 57%

Section: Genetic Evaluation and Model Comparisonmentioning

confidence: 99%

Genotype by production environment interaction for birth and weaning weights in a population of composite beef cattle

Júnior

Eler

Bignardi

et al. 2014

Animal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Essas altas correlações evidenciam que animais com maior valor genético médio, ao longo do gradiente ambiental, tendem a mostrar aumento do valor genético em ambientes favoráveis. Estes resultados estão próximos aos obtidos por outros trabalhos sobre normas de reação em bovinos de corte -quanto às características de peso (Pégolo et al, 2009;Ambrosini et al, 2014b) e ganho de peso Chiaia et al, 2015) -, e em bovinos compostos (Santana Jr et al, 2013).…”

Section: Resultsunclassified

Interação genótipo x ambiente via modelos de normas de reação para características de crescimento em bovinos Nelore

Ambrosini

Malhado²,

Filho

et al. 2016

Pesq. agropec. bras.

View full text Add to dashboard Cite

Resumo -O objetivo deste trabalho foi avaliar a sensibilidade ao ambiente em bovinos da raça Nelore por meio de diferentes modelos de normas de reação e estimar o progresso genético no gradiente ambiental. Determinaram-se os parâmetros ganho de peso da desmama ao sobreano (GP345) e o peso ajustado aos 205 dias de idade (P205). Um modelo animal padrão (MA), dois modelos hierárquicos de normas de reação com homocedasticidade de variância residual e dois com heterogeneidade foram utilizados. O modelo hierárquico de normas de reação homocedástico com um passo apresentou o melhor ajuste. Os coeficientes de herdabilidade diretos do ambiente baixo para o ambiente alto, no gradiente ambiental, foram de 0,03 a 0,63 e de 0,13 a 0,62, respectivamente, para GP345 e P205. As correlações entre o intercepto e a inclinação da norma de reação foram de: 0,93, para GP345 (direto); 0,95, para GP345 (materno); 0,92, para P205 (direto); e 0,82, para P205 (materno). As correlações indicam que animais com alto valor genético tendem a responder positivamente aos melhores ambientes. As tendências genéticas mostraram ganhos para os efeitos diretos, principalmente nos melhores ambientes. Há variação genética quanto à sensibilidade dos animais, nos diferentes ambientes, fato que permite a seleção de animais com genótipos mais adequados para a produção em determinado ambiente.Termos para indexação: avaliação genética, correlação genética, parâmetros genéticos, plasticidade fenotípica, reprodutores, sensibilidade ambiental. Genotype x environment interaction via models of reaction norms for growth traits in Nelore cattleAbstract -The objective of this work was to evaluate the sensitivity of Nelore cattle to the environment by different models of reaction norms and to estimate the genetic progress in environmental gradient. The parameters weight gain from weaning to yearling (WG345) and adjusted weight at 205 days of age (W205) were determined. A standard animal model (AM), two reaction norm hierarchical models with residual variance homoscedasticity, and two with heterogeneity were used. The homoscedastic reaction norm hierarchical model with one step showed the best fit. The direct heritability coefficients from the low environment to the high one, in environmental gradient, were 0.03 to 0.63 and 0.13 to 0.62, respectively, for WG345 and W205. The correlations between the intercept and the slope of the reaction norm were: 0.93, for WG345 (direct); 0.95, for WG345 (maternal); 0.92, for W205 (direct); and 0.82, for W205 (maternal). The correlations indicate that animals with high genetic value tend to positively respond to better environments. The genetic trends showed gains for the direct effects, mainly in the best environments. There is genetic variation for sensitivity of animals, in different environments, a fact that allows of the selection of animals of more appropriate genotypes for the production in a particular environment.

show abstract

“…According to Stearns (1989), regarding adaptability, animals with robust genotypes have more difficult in adapting to certain environmental conditions and may be unable to survive under some of these conditions. The environmental sensitivity of beef cattle has been the subject in the studies of Cardoso et al (2005) and Cardoso and Campos (2007) for Angus cattle, Mattar et al (2011) involving Canchim cattle, and Santana et al (2012) involving Montana cattle. These authors used reaction norms of individuals in different environments to determine the behavior of genotypes.…”

Section: Resultsmentioning

confidence: 99%

Reaction norms for the study of genotype-environment interaction for growth and indicator traits of sexual precocity in Nellore cattle

Lemos¹,

Chiaia²,

Berton³

et al. 2015

Genet. Mol. Res.

Self Cite

View full text Add to dashboard Cite

ABSTRACT. The objective of this study was to quantify the magnitude of genotype-environment interaction (GxE) effects on age at first calving (AFC), scrotal circumference (SC), and yearling weight (YW) in Nellore cattle using reaction norms. For the study, 89,152 weight records of female and male Nellore animals obtained at yearling age were used. Genetic parameters were estimated with a single-trait randomregression model using Legendre polynomials as base functions. The heritability estimates were of low to medium magnitude for AFC (0.05 to 0.47) and of medium to high magnitude for SC (0.32 to 0.51) and YW (0.13 to 0.72), and increased as the environmental gradient became more favorable. The genetic correlation estimates ranged from 0.25 to 1.0 for AFC, from 0.71 to 1.0 for SC, and from 0.42 to 1.0 for YW. High Spearman correlation coefficients were obtained for the three traits, ranging from 0.97 to 0.99. The reaction norms along the environmental gradient of 10 sires each with the highest or lowest breeding value for YW predicted by single-trait analysis demonstrated more plastic phenotypes for YW and more robust phenotypes for SC. The effect of GxE was most important for YW and AFC with respect to SC. When animals are selected for higher SC or YW or lower AFC, considering or not the GxE effect, it is expected that the same animals will be selected. The reaction norms obtained based on sire breeding values along the environmental gradient showed that animals with extreme breeding values respond differently as environmental conditions improve.

show abstract

Phenotypic plasticity of composite beef cattle performance using reaction norms model with unknown covariate

Cited by 45 publications

References 29 publications

Genotype by production environment interaction for birth and weaning weights in a population of composite beef cattle

Genotype by production environment interaction for birth and weaning weights in a population of composite beef cattle

Interação genótipo x ambiente via modelos de normas de reação para características de crescimento em bovinos Nelore

Reaction norms for the study of genotype-environment interaction for growth and indicator traits of sexual precocity in Nellore cattle

Contact Info

Product

Resources

About