Título:	Modeling covariance structures for genetic and non-genetic effects in cowpea multi-environment trials.
Autor:	ARAÚJO, M. dos S. CHAVES, S. F. da S. SILVA, K. J. D. e DIAS, L. A. dos S. ROCHA, M. de M.
Afiliación:	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.
Año:	2023
Referencia:	Agronomy Journal, p. 1-9, Feb. 2023. On line.
Descripción:	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).
Thesagro:	Melhoramento Genético Vegetal Vigna Unguiculata Rendimento
Palabras clave:	Caupi
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CPAMN)