Data/hora: 12/06/2024 10:30:59

Provedor de dados: | 86
País: | Brazil
Título: | Similarity networks for the classification of rice genotypes as to adaptability and stability
Autores: | Silva,Gabi Nunes; Silva Júnior,Antônio Carlos da; Sant’Anna,Isabela de Castro; Cruz,Cosme Damião; Nascimento,Moysés; Soares,Plínio César.
Data: | 2020-01-01
Ano: | 2020
Palavras-chave: | Orzya sativa; Flood-irrigated rice; Genotype x environment interaction; Graphic analysis; Similarity.
Resumo: | Abstract: The objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson’s correlation) or values (based on Gower’s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart &amp; Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart &amp; Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102901

Editor:

Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira

Relação: | 10.1590/s1678-3921.pab2020.v55.01017
Formato: | text/html
Fonte: | Pesquisa Agropecuária Brasileira  v.55 2020
Fonte: | info:eu-repo/semantics/openAccess