01175naa a2200217 a 450000100080000000500110000800800410001910000230006024501290008326000090021252005150022165000350073665000150077165000220078665300100080870000240081870000220084270000230086470000200088777300500090721526582023-03-23       2023    bl uuuu     u00u1 u    #d1 aARAÚJO, M. dos S.  aModeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials.h[electronic resource]  c2023  aIn 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).  aMelhoramento Genético Vegetal  aRendimento  aVigna Unguiculata  aCaupi1 aCHAVES, S. F. da S.1 aSILVA, K. J. D. e1 aDIAS, L. A. dos S.1 aROCHA, M. de M.  tAgronomy Journal, p. 1-9, Feb. 2023. On line.