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Analysis of multi-environment trials (METs) of genotypes (G) and genotype×environment (GE) interactions for yield performance across environments, and selection of the best genotypes is an important routine in maize breeding programs. Analysis and interpretation of METs data have been limited to analysis of variance and mean comparison among genotypes. This type of analysis has not been effective...
When evaluating genotypes, it is efficient and resourceful to identify similar testing sites and group them according to similarity. Grouping sites ensures that breeders choose as many variable sites as possible to capture the effects of genotype-by-environment (GE) interactions. In order to exploit these interactions and increase testing efficiency and variety selection, it is necessary to group...
The effects of competition may disguise the true value of progenies in practical maize breeding nurseries, where large numbers of progenies are evaluated in small plots. These effects may be exacerbated where growth factors limit performance. Intergenotypic competition among 72 randomly selected maize (Zea mays L.) S 1 progenies was examined when grown in non-bordered 1- and 2-row plots...
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