Genetic evaluation of Devon Cattle using a reaction norms model

Corrêa, Marcela Bicca Bragança; Dionello, Nelson José Laurino; Cardoso, F. F.

doi:10.1590/s1516-35982010000100017

Cited by 14 publications

(10 citation statements)

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“…This has been evidenced in various genetic structure population studies involving a number of breeds in Brazil (Marcondes et al, 2007;Oliveira et al, 2011) and indicates the need to consider GEI in genetic evaluations, to select animals to be used in herds under different production systems. Corrêa et al (2010) obtained estimates of Spearman's correlations higher than those in the present study, with values of 0.12 to 0.98 for 5% of the best sires and higher for 10% of the sires, with values of 0.75 to 0.99 for post-weaning gain standardized at 365 days. According to these authors, moderate-to-high change was observed in the classification of Devon breed sires.…”

Section: Resultscontrasting

confidence: 84%

“…There is an increase in the number of studies that indicate the need to have specific genetic value predictions for each environment (Bryant et al, 2006;Hammami et al, 2008;Corrêa et al, 2010;Pegolo et al, 2011;Cardoso et al, 2012). Thus, it is possible that GEI studies change the modeling traditionally used in the usual genetic evaluations.…”

Section: Resultsmentioning

confidence: 99%

“…Studies with European breeds in Southern Brazil using Bayesian inference as a tool to characterize and quantify GEI by RN were described by Corrêa et al (2010), Cardoso et al (2011) and Cardoso and Tempelman (2012). These authors demonstrated the importance of including this effect in genetic evaluation programs, since a breeding sire can have superior performance in a given stratum of the environmental gradient and much less than expected in another.…”

Section: Introductionmentioning

confidence: 99%

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Reaction norms models in the adjusted weight at 550 days of age for Polled Nellore cattle in Northeast Brazil

et al. 2014

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-The objective of this study was to evaluate the genotype-environment interaction (GEI) in the body weight adjusted to 550 days of age (W550) of Polled Nellore cattle raised in Northeastern Brazil using reaction norms (RN) models. Hierarchical RN models included fixed effects for age of cow (linear and quadratic) and random effects for contemporary groups (CG) and additive genetic RN level and slope. Four RN hierarchical models (RNHM) were used. The RNHM 2S uses the solutions of contemporary groups estimated by the standard animal model (AM) and considers them as environmental level for predicting the reaction norms and the RNHM 1S , which jointly estimate these two sets of unknowns. Two versions were considered for both models, one with a homogeneous (Hm) and another with a heterogeneous (He) residual variance. The one-step homogeneous residual variance model (RNHM 1S Hm) offered better adjustment to the data when compared with other models. For the RNHM 1S Hm model, estimates of additive genetic variance and heritability increased with environment improvement (260.75±75.80 kg 2 to 4298.39±356.56 kg 2 and 0.22±0.05 to 0.82±0.01, for low-and high-performance environments, respectively). High correlation (0.97±0.01) between the intercept and the slope of RN shows that animals with higher genetic values respond better to environment improvement. In the evaluation of breeding sires with higher genetic values in the various environments using Spearman's correlation, values between 0 and 0.98 were observed, pointing to high reclassification, especially among genetic values obtained by the animal model in comparison with those obtained via RNHM 1S Hm. The existence of GEI is confirmed, and so is the need for specific evaluations for low, medium and high level production environments.

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Section: Resultscontrasting

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reaction norms models in the adjusted weight at 550 days of age for Polled Nellore cattle in Northeast Brazil

et al. 2014

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“…No entanto, mesmo as correlações medianas podem levar a mudanças importantes na classificação dos reprodutores. Ambrosini et al (2014a) estudaram Nelore Mocho, e Corrêa et al (2010), a raça Devon, e relataram correlações similares, em que a maioria das alterações na classificação ocorreu entre o ambiente baixo e alto do gradiente ambiental (Santos et al, 2008).…”

Section: Resultsunclassified

“…Na realidade, um animal não conseguirá produzir sem um mínimo de condições necessárias, não importa quão robusto seja esse genótipo. Vários estudos com normas de reação com Nelore Mocho, Devon, Canchim e Angus (Corrêa et al, 2010;Mattar et al, 2011;Cardoso & Tempelman, 2012;Ambrosini et al, 2014aAmbrosini et al, , 2014b; e) têm mostrado que animais robustos tendem a ser menos produtivos e a apresentar baixa amplitude de valores genéticos no gradiente ambiental.…”

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.

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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.

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Unraveling the effect of body structure score on phenotypic plasticity for body weight at different ages in Guzerat cattle

et al. 2019

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Genetic evaluation of Devon Cattle using a reaction norms model

Cited by 14 publications

References 5 publications

Reaction norms models in the adjusted weight at 550 days of age for Polled Nellore cattle in Northeast Brazil

Reaction norms models in the adjusted weight at 550 days of age for Polled Nellore cattle in Northeast Brazil

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

Unraveling the effect of body structure score on phenotypic plasticity for body weight at different ages in Guzerat cattle

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