Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/5739
Título: Análise da correlação genotípica rendimento - qualidade em variedades de videira
Outros títulos: Analysis of yield - quality genotypic correlation in grapevine varieties
Autor: Almeida, Raquel Portanova
Orientador: Martins, Antero
Gonçalves, Elsa
Palavras-chave: grapevine
genetic selection
mixed models
genotypic correlation
Data de Defesa: 2013
Editora: ISA/UTL
Citação: Almeida, R.P. - Análise da correlação genotípica rendimento - qualidade em variedades de videira. Lisboa: ISA, 2013
Resumo: The ancient Portuguese viticulture led to the accumulation of a large amount of genetic variability within native grapevine varieties. This variability is a high raw material for selection. When performing genetic selection concerning several traits, it is very important to know the genetic correlation between them. Our main purpose was to study whether there are any phenotypic and genotypic correlations between yield and quality traits. The study was conducted in six Portuguese grapevine varieties, in different site/year combinations. Two different approaches were used. Firstly an univariate mixed model was fitted to the data of different traits. When significant genetic variability was detected, the phenotypic correlations between pairs of traits were evaluated. Secondly, two multivariate mixed models were fitted. One considering independence between traits (model MM1) and the other considering dependence between traits (modelo MM2). The efficiency of model MM2 over model MM1 was calcuted using the predicted standard errors of the empirical best linear unbiased predictors of genotypic values of the traits. For the six varieties, the genotypic correlations between traits obtained with model MM2 were always higher than the phenotypic correlations. Model MM2 had always a better fit than model MM1, leading to a more precise and efficient selection.
Descrição: Mestrado em Biologia Funcional - Instituto Superior de Agronomia
URI: http://hdl.handle.net/10400.5/5739
Aparece nas colecções:BISA - Dissertações de Mestrado / Master Thesis

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