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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152658
Title: | Modeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials. |
Authors: | ARAÚJO, M. dos S. CHAVES, S. F. da S. SILVA, K. J. D. e DIAS, L. A. dos S. ROCHA, M. de M. |
Affiliation: | 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. |
Date Issued: | 2023 |
Citation: | Agronomy Journal, p. 1-9, Feb. 2023. On line. |
Description: | 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 |
Keywords: | Caupi |
Type of Material: | Artigo de periódico |
Access: | openAccess |
Appears in Collections: | Artigo em periódico indexado (CPAMN) |
Files in This Item:
File | Size | Format | |
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ModelingCovarianceStructuresGeneticNonGeneticEffectsCowpeaAJ2023.pdf | 7,71 MB | Adobe PDF | View/Open |