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

ABSTRACT:

Motivation

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 programme in Finland, we construct an in silico experiment to study the viability of G×E prediction under practical constraints.

Results

We show that the response to the environment of a new generation of untested Barley cultivars can be predicted in new locations and years usi

SUBMITTER: Gillberg J 

PROVIDER: S-EPMC6792123 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature