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Genetic correlations in grapevine and their effects on selection
Author(s) -
Gonçalves E.,
Carrasquinho I.,
Almeida R.,
Pedroso V.,
Martins A.
Publication year - 2016
Publication title -
australian journal of grape and wine research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 77
eISSN - 1755-0238
pISSN - 1322-7130
DOI - 10.1111/ajgw.12164
Subject(s) - trait , selection (genetic algorithm) , genotype , biology , gene–environment interaction , multivariate statistics , correlation , genetic correlation , quantitative trait locus , statistics , genetics , genetic variation , computer science , machine learning , mathematics , gene , geometry , programming language
Background and Aims The evaluation of genotype‐by‐environment interaction and the genotypic correlations between important economic traits are two relevant issues of the methodology of grapevine selection that remain insufficiently explored. The aim of this study is to provide methodological tools to: (i) assess the genotype‐by‐environment interaction and (ii) evaluate the genetic correlations between traits and their practical impacts on genetic selection. Methods and Results A multi‐environment analysis for each trait and multi‐trait analyses were applied for the evaluation of genotype‐by‐environment interaction and genetic correlation between pairs of traits, respectively. The presence of genotype‐by‐environment interaction for all traits was detected. Genetic correlation between traits varied from non‐existent to strong. Conclusions This study supports and recommends the applicability of multi‐environment and multi‐trait analyses to grapevine clonal selection data. The detection of genotype‐by‐environment interaction in grapevine clones was successfully assessed. When multi‐trait models were applied they provided greater accuracy and precision in selection. Significance of the Study This study shows the importance of the mixed multivariate models for the development of the grapevine clonal selection. They should be implemented in a grapevine selection program.