Modeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials.

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).

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Bibliographic Details
Main Authors: ARAÚJO, M. dos S., CHAVES, S. F. da S., SILVA, K. J. D. e, DIAS, L. A. dos S., ROCHA, M. de M.
Other Authors: MAURÍCIO DOS SANTOS ARAÚJO, UNIVERSIDADE FEDERAL DE VIÇOSA; SAULO FABRÍCIO DA SILVA CHAVES, UNIVERSIDADE FEDERAL DE VIÇOSA; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; LUIZ ANTÔNIO DOS SANTOS DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA; MAURISRAEL DE MOURA ROCHA, CPAMN.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2023-03-23
Subjects:Caupi, Melhoramento Genético Vegetal, Vigna Unguiculata, Rendimento,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152658
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152658

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