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Article

Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Sept 2021

Vojgani Elaheh, Pook Torsten, Martini Johannes W R, Hölker Armin C, Mayer Manfred, Schön Chris-Carolin, Simianer Henner

Abstract excerpt

KEY MESSAGE: The accuracy of genomic prediction of phenotypes can be increased by including the top-ranked pairwise SNP interactions into the prediction model. We compared the predictive ability of various prediction models for a maize dataset derived from 910 doubled haploid lines from two European landraces (Kemater Landmais Gelb and Petkuser Ferdinand Rot), which were tested at six locations in Germany and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Epistasis, Genetic

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Share to Polymorphism, Single Nucleotide

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Identifiers

PMID: 34115154
DOI: 10.1007/s00122-021-03868-1
PMCID: PMC8354961

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