Data/hora: 11/06/2024 12:21:13

Provedor de dados: 	86	
País: 	Brazil	
Título: 	Uni- and multivariate methods applied to the study of the adaptability and stability of white oat	
Autores: 	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.	
Data: 	2019-01-01	
Ano: 	2019	
Palavras-chave: 	Avena sativa; Environment; Genotype; Plant breeding.	
Resumo: 	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 &amp; 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 &amp; 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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102805	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s1678-3921.pab2019.v54.00656	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.54 2019	
Fonte: 	info:eu-repo/semantics/openAccess