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

Abstract

<p><strong>Background. </strong>White oat is a multifunctional species with significant benefits to human health, so the positioning of genotypes in the organic system is substantial to promote the expression of maximum productive potential. <strong>Objective.</strong> To select and identify the genotypes with greater stability and productive adaptability. <strong>Methodology.</strong> The study was carried out in 11 environments located in the countries of Brazil (states of Rio Grande do Sul and Paraná) and Paraguay (Itapúa) in 2019 and 2020, evaluating in each of them four genotypes of white oats (<em>Avena sativa</em>) (URS Corona, URS Brava, IPR Artemis and IPR Afrodite) each considered as treatments. The experimental design was randomized blocks with four replications per treatment. The variables analyzed were grain yield (GY, kg ha<sup>-1</sup>) and the cycle in days from emergence to physiological maturity (PM). With the presence of G x E interaction, AMMI and GGE biometric methods were used to study adaptability and stability. <strong>Results.</strong> With the data obtained, it was possible to form three mega-environments with the identification of specifically adapted genotypes. The URS Brava genotype was characterized as the ideal genotype, with high stability and wide adaptability for grain yield, which can be positioned in all environments. High altitudes promoted a longer crop cycle and lower grain yield, while low altitudes induced a shorter cycle and grain yield maximization of white oat genotypes. <strong>Implications.</strong> The current results indicate that it is possible to position a single genotype within a region formed by similar environments, as well as it was identified that the crops should preferably be carried out in regions of lower altitudes. <strong>Conclusion.</strong> The URS Brava genotype is considered the ideal genotype with high potential for productivity at low altitudes.</p>

Agronomic Performance and Selection of Ideal Soybean Genotypes

“…Multiple tools are genotype recommendations such as AMMI, GGE, REML/BLUP, and principal components. These are effective in recommending soybean genotypes , white oats (Savicki et al, 2023;Loro et al, 2022), and wheat (Segatto, et al, 2023).…”

Maize genetic breeding for tolerance to abiotic stress with focus on sustainable use of environmental resources

“…Simultaneously with the development of genotypes tolerant to abiotic stress, the identification of environments with similar environmental conditions, known as megaenvironment assessment, improves the efficiency of genotype positioning (Katsenios et al, 2021). Studies have identified the presence of mega-environments in several cultures, as highlighted by Katsenios et al (2021), Szareski et al (2021) and Savicki et al (2023). This approach allows positioning genotypes within these mega-environments, which results in reduced costs in genetic breeding programs (Nardino et al, 2018) and provides favorable phenotypic responses.…”