Similarity networks for the classification of rice genotypes as to adaptability and stability

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...

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Main Authors: Gabi Nunes Silva, Antônio Carlos da Silva Júnior, Isabela de Castro Sant’Anna, Cosme Damião Cruz, Moysés Nascimento, Plínio César Soares
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2020-03-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102901&tlng=en
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author Gabi Nunes Silva
Antônio Carlos da Silva Júnior
Isabela de Castro Sant’Anna
Cosme Damião Cruz
Moysés Nascimento
Plínio César Soares
author_facet Gabi Nunes Silva
Antônio Carlos da Silva Júnior
Isabela de Castro Sant’Anna
Cosme Damião Cruz
Moysés Nascimento
Plínio César Soares
author_sort Gabi Nunes Silva
collection DOAJ
description 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 & 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 & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.
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spelling doaj.art-25c500618f4145d78570d480108eef4a2022-12-22T04:12:14ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212020-03-015510.1590/s1678-3921.pab2020.v55.01017Similarity networks for the classification of rice genotypes as to adaptability and stabilityGabi Nunes Silvahttps://orcid.org/0000-0003-4161-9267Antônio Carlos da Silva Júniorhttps://orcid.org/0000-0002-4200-6182Isabela de Castro Sant’Annahttps://orcid.org/0000-0002-6944-5361Cosme Damião Cruzhttps://orcid.org/0000-0003-3513-3391Moysés Nascimentohttps://orcid.org/0000-0001-5886-9540Plínio César Soareshttps://orcid.org/0000-0002-3237-220XAbstract: 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 & 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 & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102901&tlng=enOrzya sativaflood-irrigated ricegenotype x environment interactiongraphic analysissimilarity
spellingShingle Gabi Nunes Silva
Antônio Carlos da Silva Júnior
Isabela de Castro Sant’Anna
Cosme Damião Cruz
Moysés Nascimento
Plínio César Soares
Similarity networks for the classification of rice genotypes as to adaptability and stability
Pesquisa Agropecuária Brasileira
Orzya sativa
flood-irrigated rice
genotype x environment interaction
graphic analysis
similarity
title Similarity networks for the classification of rice genotypes as to adaptability and stability
title_full Similarity networks for the classification of rice genotypes as to adaptability and stability
title_fullStr Similarity networks for the classification of rice genotypes as to adaptability and stability
title_full_unstemmed Similarity networks for the classification of rice genotypes as to adaptability and stability
title_short Similarity networks for the classification of rice genotypes as to adaptability and stability
title_sort similarity networks for the classification of rice genotypes as to adaptability and stability
topic Orzya sativa
flood-irrigated rice
genotype x environment interaction
graphic analysis
similarity
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102901&tlng=en
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