The analysis of quantitative trait loci in multi-environment trials using a multiplicative mixed model
A new approach for multi-environment quantitative trait locus (QTL) analysis based on an appropriate genetic model is presented. To accommodate a multi-environment analysis, the size of a QTL effect is assumed to be a random effect. The approach results in a multiplicative mixed model for QTL × environment interaction of the factor analytic type. The full genetic model may also include a factor analytic model for the residual genotype × environment interaction, whereas the environmental model for the non-genetic variation involves local, global, and extraneous variation. The approach is used to determine QTLs for yield in the Arapiles × Franklin doubled haploid population of the National Barley Molecular Marker Program. Analysis leads to the determination of 8 QTLs. Many of these QTLs are associated with other traits.
| Item Type | Article |
|---|---|
| Open Access | Not Open Access |
| Keywords | factor analytic models, genotype by environment interaction, mixed models, multiplicative mixed models, QTL analysis, regression interval analysis, residual variation |
| Project | 445, 513, Research in statistics relevant to biological processes |
| Date Deposited | 05 Dec 2025 09:34 |
| Last Modified | 19 Dec 2025 14:26 |
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