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| Studnicki,Marcin; Mądry,Wiesław; Derejko,Adriana; Noras,Kinga; Wójcik-Gront,Elżbieta. |
| Cultivars have to be evaluated under different crop management systems across agro-ecosystems and years using multi-environment trials (MET) before releasing them to the market. Frequently, data collected in METs are arranged according to cultivar (G), management (M), location, (L) and year (Y) combinations in a four-way G x M x L x Y data table that is highly unbalanced for cultivars across locations and time. Therefore, we present the restricted maximum likelihood method (REML) for linear mixed models (LMM) with a factor analytic variance-covariance matrix for assessing cultivar adaptation to crop management systems and environments based on unbalanced datasets. Such a multi-environmental trial system has been in operation in Poland for winter wheat... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Crop management; Restricted maximum likelihood methods; Unbalanced data; Winter wheat. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000500411 |
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