Interação genótipos ambientes em animais via modelos de normas de reação

• Ano de defesa: 2012
• Autor(a) principal: Rodrigues, Daniele Tôrres
• Orientador(a): Carneiro, Antônio Policarpo Souza
• Banca de defesa: Souza, Gustavo Henrique de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Estatística Aplicada e Biometria
• Departamento: Estatística Aplicada e Biometria
• País: BR
• Palavras-chave em Português: Melhoramento genético; Nelore Mocho; Inferência Bayesiana
• Palavras-chave em Inglês: Breeding; Nelore Mocho; Bayesian Inference
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS
• Link de acesso: http://locus.ufv.br/handle/123456789/4047

A basic issue in animal genetic improvement is if the selection of animals practiced in a given environment results in genetic progress in other environment. The presence of genotype environment interaction (GEI) is characterized by different response of genotypes to environmental variations, which can cause change in the classification of the genotypes in different environments. Among the ways to evaluate the GEI, models of reaction norms (MRN) have been distinguished themselves worldwide today. The GEI is a linear covariance function that lets you assign to each animal, two random regression coefficients (intercept and slope) that predict the genetic value depending on the environment. Thus, each animal has a genetic value for each environment. This study aims to verify the presence of GEI for weaning weight in Nelore Mocho created in different regions of Brazilian northeast, using the model of reaction norms. It was adjusted two models of norms of reaction to the data, MRN in two steps and MRN in one step. The first uses a model without considering the genotype environment interaction to obtain estimates of the environment effects and then uses them as a known covariate in a random regression model. The second, under the Bayesian approach estimates all parameters jointly. The analyzes were conducted using software SAS, R, AMC and Intergen. Based on two of the three criteria used for choosing the model the was the MRN in one step. Through this model it was possible to verify the presence of genotype environment interaction and to estimate the genetic value of animals for weaning weight in each producing region in the Northeast. Thus, it is possible to recommend the most appropriate sires for each environment studied, taking advantage of the GEI effects.