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Article
2025
Computing optimal allocation of trials to subregions in crop‐variety testing in case of correlated genotype effects
Computing optimal allocation of trials to subregions in crop‐variety testing in case of correlated genotype effects
Abstract (English)
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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Statistica Neerlandica, 79 (2025), 1, 12353.
https://doi.org/10.1111/stan.12353.
ISSN: 1467-9574
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English
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630 Agriculture
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Sustainable Development Goals
BibTeX
@article{Prus2025,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/17673},
doi = {10.1111/stan.12353},
author = {Prus, Maryna},
title = {Computing optimal allocation of trials to subregions in crop‐variety testing in case of correlated genotype effects},
journal = {Statistica Neerlandica},
year = {2025},
volume = {79},
number = {1},
}