Supplemental Material for Yamamoto and Matsunaga, 2021

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posted on 2021-04-08, 17:13 authored by Eiji Yamamoto, Hiroshi Matsunaga

Figure S1: Evaluation of linear mixed models (LMMs) including dominant effect terms. Figure S2: Genome-wide association study Manhattan plots of tomato agronomic traits.

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Article title

Exploring Efficient Linear Mixed Models to Detect Quantitative Trait Locus-by-Environment Interactions

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Keywords

Genome-wide association study (GWAS)Quantitative trait locus (QTL)Genotype-by-environment interaction (G×E)QTL-by-environment interaction (Q×E)Linear mixed model (LMM)Genetics Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

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