Uni- and multivariate methods applied to the study of the adaptability and stability of white oat

Abstract: The objective of this work was to compare uni- and multivariate biometric methods to evaluate the adaptability and stability of an important group of white oat (Avena sativa) cultivars grown in Southern Brazil. The used experimental design was a randomized complete block, in a factorial arrangement of 12 environments x 7 cultivars, with three replicates. The analysis of variance and the methods of Eberhart & Russel, Annicchiarico, and the harmonic mean of the relative performance of predicted genetic values (MHPRVG) were assessed. In the general comparison of the methods, the 'UPFA Gaudéria' and 'URS Guapa' genotypes were more stable regarding grain yield. The 'UPFA Gaudéria' and 'URS-21' genotypes stood out for hectoliter weight, presenting the best performances by the methods of Annicchiarico and the MHPRVG. For thousand-grain weight, all methods showed similar results, indicating that the 'UPFA Gaudéria' genotype presented the best results. The 'URS Guapa' genotype was superior when using the methods of Eberhart & Russel, Annicchiarico, and the MHPRVG. The uni- and multivariate methods evaluated are suitable to estimate with high confidence the adaptability and stability of cultivars for each targeted grain production, yield, and quality.

Bibliographic Details

Main Authors:	Rother,Vianei, Verdi,Cezar Augusto, Thurow,Liamara Bahr, Carvalho,Ivan Ricardo, Oliveira,Victoria Freitas de, Maia,Luciano Carlos da, Venske,Eduardo, Pegoraro,Camila, Oliveira,Antonio Costa de
Format:	Digital revista
Language:	English
Published:	Embrapa Secretaria de Pesquisa e Desenvolvimento 2019
Online Access:	http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102805
Tags:	Add Tag No Tags, Be the first to tag this record!