Uni and multivariate methods applied to studies of phenotypic adaptability in maize (Zea mays L.)
Year: 2011
Type: article
Abstract: The objective of this study was to evaluate the performance of 15 maize cultivars in seven locations in Paraná State, Brazil. Towards this aim, grain yield trials were conducted during two crop seasons, and centroid (multivariate) and bissegmented regression (univariate) methods were used to evaluate possible divergences among results obtained. The genotypes were evaluated in randomized complete blocks with three replications. The centroid method was effective for indicating productive potential of genotypes, allowing for classification of genotype adaptability and stability. Values of probability above 0.40 allowed more reliable genotype classification for both adaptability and stability. The STRIKE genotype presented wide adaptability and stability by both the centroid and bissegmented regression methods. The SHS 4040 and CD 306 genotypes were not indicated for planting, considering the tested environments.
Source: Acta Scientiarum Agronomy
Language: English
Topic: Genetics and Plant Breeding
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W2054474787