Spatial kernel models capturing field heterogeneity for accurate estimation of genetic potential.

ABSTRACT: According to Fisher's principles, an experimental field is typically divided into multiple blocks for local control. Although homogeneity is supposed within a block, this assumption may not be practical for large blocks, such as those including hundreds of plots. In line evaluation trials, which are essential in plant breeding, field heterogeneity must be carefully treated, because it can cause bias in the estimation of genetic potential. To more accurately estimate genotypic values in a large field trial, we developed spatial kernel models incorporating genome-wide markers, which consider continuous heterogeneity within a block and over the field. In the simulation study, the spatial kernel models were robust under various conditions. Although heritability, spatial autocorrelation range,

SUBMITTER: Ishimori M 

PROVIDER: S-EPMC8661485 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature