Approximate analysis of QTL-environment interaction with no limits on the number of environments

• Published in: Genetics (Austin) Vol. 148; no. 4; pp. 2015 - 2028
• Main Authors: Korol, A.B, Ronin, Y.I, Nevo, E
• Format: Journal Article
• Language: English
• Published: United States Genetics Soc America 01.04.1998; Genetics Society of America
• Subjects: ALFA AMILASA; ALPHA AMYLASE; BRASSAGE; BREWING; CALIDAD; CARTE GENETIQUE; Chromosome Mapping; CONTENIDO PROTEICO; DIASTATIC POWER; Environment; ESTIMATES; ESTIMATION; GENETIC MAPPING; GENETIC MAPS; GENETICA; GENETICA CUANTITATIVA; GENETICS; GENETIQUE; GENETIQUE QUANTITATIVE; GENOTYPE ENVIRONMENT INTERACTION; GRAINE; HORDEUM VULGARE; INTERACCION GENOTIPO AMBIENTE; INTERACTION GENOTYPE ENVIRONNEMENT; LOCI; LOCUS; MALT EXTRACT; MALTEADO; MALTING QUALITY; MAPAS GENETICOS; Mathematical models; METHODE STATISTIQUE; METODOS ESTADISTICOS; MODELE; MODELOS; Models, Genetic; MONTE CARLO METHOD; PROTEIN CONTENT; QUALITE; QUALITY; QUANTITATIVE GENETICS; Quantitative Trait, Heritable; QUANTITATIVE TRAITS; Regression Analysis; SEEDS; SEMILLA; STATISTICAL METHODS; TENEUR EN PROTEINES
• ISSN: 0016-6731; 1943-2631; 1943-2631
• DOI: 10.1093/genetics/148.4.2015

An approach is presented here for quantitative trait loci (QTL) mapping analysis that allows for QTL x environment (E) interaction across multiple environments, without necessarily increasing the number of parameters. The main distinction of the proposed model is in the chosen way of approximation of the dependence of putative QTL effects on environmental states. We hypothesize that environmental dependence of a putative QTL effect can be represented as a function of environmental mean value of the trait. Such a description can be applied to take into account the effects of any cosegregating QTLs from other genomic regions that also may vary across environments. The conducted Monte-Carlo simulations and the example of barley multiple environments experiment demonstrate a high potential of the proposed approach for analyzing QTL x E interaction, although the results are only approximated by definition. However, this drawback is compensated by the possibility to utilize information from a potentially unlimited number of environments with a remarkable reduction in the number of parameters, as compared to previously proposed mapping models with QTL x E interactions.