Computing optimal allocation of trials to subregions in crop‐variety testing in case of correlated genotype effects

The subject of this work is the allocation of trials to subregions in crop variety testing in the case of correlated genotype effects. A solution for computation of optimal allocations using the OptimalDesign package in R is proposed. The obtained optimal designs minimize linear criteria based on th...

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Bibliographic Details
Published inStatistica Neerlandica Vol. 79; no. 1
Main Author Prus, Maryna
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.02.2025
Subjects
Allocations
best linear unbiased prediction
correlated genotype effects
experimental design
linear mixed model
multi‐environment trials
optimal design
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Summary:The subject of this work is the allocation of trials to subregions in crop variety testing in the case of correlated genotype effects. A solution for computation of optimal allocations using the OptimalDesign package in R is proposed. The obtained optimal designs minimize linear criteria based on the mean squared error matrix of the best linear unbiased prediction of the genotype effects. The proposed computational approach allows for any kind of additional linear constraint on the designs. The results are illustrated by a real data example.
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content type line 14
ISSN:0039-0402
1467-9574
DOI:10.1111/stan.12353