Modeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials.
In cowpea breeding, multi-environment trials are conducted to select lines withhigh yield. The occurrence of genetic and/or statistical imbalance is common inthese experiments, in addition to the possibility of (co)variance between genetic andnon-genetic effects. We explore the restricted maximum likelihood/best linear unbi-ased prediction features to select the model with the most appropriated covariancestructure and compare the results with the traditional model (homogenous variancesand no covariances).
Auteurs principaux: | , , , , |
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Autres auteurs: | |
Format: | Artigo de periódico biblioteca |
Langue: | Ingles English |
Publié: |
2023-03-23
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Sujets: | Caupi, Melhoramento Genético Vegetal, Vigna Unguiculata, Rendimento, |
Accès en ligne: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152658 |
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