Research Article Genetic parameters and multi-trait selection of white oats for forage

Kehl³

et al. 2022

RAC

Este trabalho teve como objetivo selecionar genótipos de trigo com base na adaptabilidade e estabilidade da expressão de aminoácidos em seus grãos. Nosso experimento foi conduzido durante a safra 2019 em cinco ambientes no estado do RioGrande do Sul (RS). Utilizou-se o delineamento experimental em blocos ao acaso organizados em esquema fatorial com cinco genótipos de trigo cultivados em cinco ambientes, com três repetições por ambiente. O genótipo BRS Parrudo potencializa aexpressão de aminoácidos em seus grãos quando cultivado em Cachoeira do Sul-RS. Pela metodologia BLUP, também expressa melhor todos os aminoácidos avaliados em seus grãos. A pesquisa pode identificar e posicionar genótipos de trigo para obter maior concentração de aminoácidos em seus grãos. Os aminoácidos aspartato, prolina e triptofano apresentam as maiores herdabilidades no sentido amplo, favorecendo a seleção de genótipos para aumentar essas características.

Section: Resultsmentioning

confidence: 76%

“…Due to the ease of viewing the results, research widely uses AMMI to position soybean (CARVALHO et al, 2016) and wheat genotypes (SZARESKI et al, 2021;SCHNEIDER et al, 2021). The first two main components explained more than 80% of our total data amino acid variability, except for asparagine (77.3%) (Figure 2).…”

Section: Resultsmentioning

confidence: 99%

Adaptabilidade e estabilidade de genótipos de trigo para a expressão de aminoácidos em seus grãos

Segatto

Kehl³

et al. 2022

RAC

“…Several recent studies have focused on heritability estimates for maize (Ferrari et al, 2022), wheat (Carvalho et al, 2019), rice (Facchinello et al, 2021), white oat (Rosa et al, 2021) and soybean (Barbosa et al, 2021), contributing to the genetic gain of these crops.…”

Section: Resultsmentioning

confidence: 99%

Genetic contributions to productivity and nutritional aspects in cassava crops

Bester

Rev. Colomb. Cienc. Hortic

Loro

et al. 2022

This study aimed to highlight the behavior of cassava cultivars when subjected to different densities and biostimulants at planting and to select superior cultivars based on nutritional and productive attributes using the multivariate approach. The experiment design used randomized blocks in a three-factor scheme, with three cassava cultivars (FEPAGRO-RS 13 Vassourinha, BRS CS01, Iapar - 19 Pioneira) × two planting densities (10 and 20 buds per linear meter) × two biostimulator forms (with and without) in three replications, totaling 36 experiment units. Cultivar BRS CS01 had the highest yield and concentration of mineral material, genotype FEPAGRO - RS 13 Vassourinha had the highest lipid content, and Iapar 19 - Pioneira had the highest protein concentrations. The starch content was tested with a comparison of means and MGIDI index. Cultivar FEPAGRO - RS 13 Vassourinha had the highest content and, according to the index, was the ideal cultivar based on multi-characteristics. Density 10 with the biostimulator was favorable for productivity and lipids, whereas density 10 without the biostimulator was favorable for starch, lipids, proteins and productivity. Density 20 with the biostimulator was favorable for lipids.

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Savicki

Trop Subtrop Agroecosyst

Loro

et al. 2023

Background. 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. Objective. To select and identify the genotypes with greater stability and productive adaptability. Methodology. 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 (Avena sativa) (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-1) 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. Results. 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. Implications. 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. Conclusion. The URS Brava genotype is considered the ideal genotype with high potential for productivity at low altitudes.