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| Malosetti, M.; Ribaut, J.M.; Vargas, M.; Crossa, J.; Boer, M.P.; Van Eeuwijk, F.A.. |
| Water shortage is a major cause of yield loss in maize. Thus, breeding for adaptation to waterstressed environments is an important task for breeders. The use of quantitative-trait loci (QTL) models in which the response of complex phenotypes under stressed environments is described in direct relation to molecular information can improve the understanding of the genetic causes underlying stress tolerance. Mixed QTL models are particularly useful for this type of modelling, especially when the data stem from multi-environment evaluations including stressed and non-stressed conditions. The study of complex phenotypic traits such as yield under water-limited conditions can benefit from the analysis of trait components (e.g., yield components) that can be... |
| Tipo: Conference proceedings |
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| Ano: 2007 |
URL: http://library.wur.nl/ojs/index.php/frontis/article/view/1293 |
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| Van Eeuwijk, F.A.; Malosetti, M.; Boer, M.P.. |
| To increase tolerance to abiotic stresses in breeding programmes, typically families and collections of genotypes are evaluated in series of trials (environments) representing different levels of stress. The statistical analysis of the data from such trials concentrates on modelling the phenotypic behaviour of the genotypes across the set of environments. This phenotypic behaviour can be modelled in the form of genotype-specific linear and non-linear response curves in relation to environmental characterizations. Non-parallelism of the response curves indicates genotype × environment interaction. Identification of the genetic basis of the parameters determining the response curves will help in the development of breeding programmes for improving abiotic... |
| Tipo: Conference proceedings |
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| Ano: 2007 |
URL: http://library.wur.nl/ojs/index.php/frontis/article/view/1300 |
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