Modelling G×E with historical weather information improves genomic prediction in new environments.

08:00 EDT 12th April 2019 | BioPortfolio

Summary of "Modelling G×E with historical weather information improves genomic prediction in new environments."

Interaction between the genotype and the environment (G×E) has a strong impact on the yield of major crop plants. Although influential, taking G×E explicitly into account in plant breeding has remained difficult. Recently G×E has been predicted from environmental and genomic covariates, but existing works have not shown that generalization to new environments and years without access to in-season data is possible and practical applicability remains unclear. Using data from a Barley breeding program in Finland, we construct an in-silico experiment to study the viability of G×E prediction under practical constraints.


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This article was published in the following journal.

Name: Bioinformatics (Oxford, England)
ISSN: 1367-4811


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