Akaike criteria and selection of physiological multi-character indexes for the production of black oat seeds

Abstract

The selection of characters provides the identification of complex characteristics, the objective of the work was to use the Akaike criteria and multiple regressions to prove the multi character selection and the interrelationships based on the Phenotypic, Standardized, Willians, Multiplicative, Mulamba and Mock indexes for the selection of black oat genotypes with high physiological potential of seeds. The study was conducted in Fortaleza dos Valos -RS in an experimental design used in randomized blocks with three replications. The trends for the selection of various Step Wise variables and the Akaike criteria are similar for most selection indices. For selection indexes, the phenotypic index and the standardized index correlate with the morphological characteristics, being mainly for the number of tillers. The genetic and multiplicative indices correlate with the characteristics of the seed. The phenotypic selection index was the one that stood out the most, regardless of the criterion used. This index correlates positively with the number of tillers. To select plants that present superior quality seeds, individuals with characteristics such as smaller panicles and with less spikelet ramifications and less panicle mass are sought. Highlighted Conclusions1. The phenotypic selection index was the one that stood out the most. 2. To obtain quality seeds, plants with smaller panicles, less spiky branching and less panicle mass are sought.

Positioning of White Oat Cultivars in Different Environments for High Grain Productivity in Organic System

“…Some recent research has focused on the study of the interaction between genotype x environment in white oat (Rother et al, 2019;Corazza et al, 2021;Moura et al, 2021), promoting proper positioning in the evaluated environments and evidencing the significant effects of the interaction, mainly, on grain yield. Therefore, it is necessary constant research advancement in the area, in order to maximize the performance of genotypes by targeting them to specific micro regions.…”