Selections via the mixed model and the multivariate
analysis approach can be powerful tools for selecting
cultivars in plant breeding programs. Therefore, this study
aimed to compare the use of mixed models, multivariate
analysis and traditional phenotypic selection to identify
superior maize (
Zea mays
L.) genotypes. Seventy-one
(71) maize Topcrosses and three commercial cultivars
were evaluated using these three methods. Plant height,
ear height, ear placement, stalk lodging and breakage,
and grain yield were evaluated. There was a difference
between selection methods, as the selection with mixed
models and the selection based on the average phenotypic
afforded the inclusion of genotypes with high productivity,
which did not occur for the multivariate analysis. The
selection by multivariate analysis allowed the inclusion
of genotypes with better agronomic and other desirable
traits, not only those with highest productivity, in a maize
breeding program.
