Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/47620 |
Resumo: | This study aimed to assess the statistical methods available to estimate genotype-by-environment (GxE) for yield-based selection of new bean cultivars and lines, and identify a testing strategy capable of reducing the number of test years and producing reliable results. Fourteen genotypes were tested in 23 environments in Paraná state, Brazil, over three consecutive years. The yield data obtained in each environment were submitted to homogeneity of variance analysis, normality testing, individual and pooled analysis of variance (ANOVA) of all the environments. GxE interaction was studied using linear, multivariate, and mixed model regression. Analyses were performed using data from two and three years of assessment. For linear and mixed model regression, the number of years analyzed did not affect result interpretation. However, in multivariate analysis, genotype behavior varied in the environments studied according to the number of years analyzed. The results obtained indicate that two years of assessment were sufficient to indicate new cultivars adapted to different environments. |
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Semina. Ciências Agrárias (Online) |
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Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines Análise de métodos estatísticos para estimativas da interação genótipos por ambientes no rendimento de grãos em cultivares e linhagens de feijãoLinear regressionMixed modelsMultivariate analysisPhaseolus vulgaris L.Regressão linearModelos mistosAnálise multivariadaPhaseolus vulgaris L.This study aimed to assess the statistical methods available to estimate genotype-by-environment (GxE) for yield-based selection of new bean cultivars and lines, and identify a testing strategy capable of reducing the number of test years and producing reliable results. Fourteen genotypes were tested in 23 environments in Paraná state, Brazil, over three consecutive years. The yield data obtained in each environment were submitted to homogeneity of variance analysis, normality testing, individual and pooled analysis of variance (ANOVA) of all the environments. GxE interaction was studied using linear, multivariate, and mixed model regression. Analyses were performed using data from two and three years of assessment. For linear and mixed model regression, the number of years analyzed did not affect result interpretation. However, in multivariate analysis, genotype behavior varied in the environments studied according to the number of years analyzed. The results obtained indicate that two years of assessment were sufficient to indicate new cultivars adapted to different environments.Esse estudo teve por objetivo avaliar os métodos estatísticos disponíveis para as estimativas da interação genótipo por ambientes no rendimento de grãos em cultivares e linhagens de feijão, bem como estabelecer uma estratégia para a condução dos ensaios que visam avaliar a interação genótipos por ambientes, possibilitando a redução do número de anos de testes, com resultados confiáveis para embasar a indicação de novas cultivares. Um ensaio composto por 14 genótipos foi conduzido em 23 ambientes do estado do Paraná, Brasil, durante três anos consecutivos. Os dados de rendimento obtidos em cada ambiente foram submetidos a análise de homogeneidade de variâncias, teste de normalidade dos resíduos, análise de variância individual, e posteriormente foi efetuada a análise de variância conjunta dos ambientes. A interação genótipos por ambientes foi estudada utilizando diferentes métodos estatísticos: regressão linear, análise multivariada e modelos mistos. As análises foram efetuadas utilizando-se dados de dois e de três anos de avaliação. Para os métodos estatísticos que empregam a regressão linear e modelos mistos, o número de anos analisados não interferiu na interpretação dos resultados. Entretanto, na análise multivariada, o comportamento dos genótipos frente aos ambientes estudados variou de acordo com o número de anos analisados. Os resultados do estudo apontam que dois anos de avaliação foram suficientes para a indicação de novas cultivares adaptadas a diferentes ambientes.UEL2023-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4762010.5433/1679-0359.2023v44n5p1805Semina: Ciências Agrárias; Vol. 44 No. 5 (2023); 1805-1824Semina: Ciências Agrárias; v. 44 n. 5 (2023); 1805-18241679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/47620/49768Copyright (c) 2023 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessKaneko, Henrique Guilherme HisashiFonseca Júnior, Nelson da SilvaCirino, Vania Moda2023-12-18T20:09:19Zoai:ojs.pkp.sfu.ca:article/47620Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2023-12-18T20:09:19Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines Análise de métodos estatísticos para estimativas da interação genótipos por ambientes no rendimento de grãos em cultivares e linhagens de feijão |
title |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
spellingShingle |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines Kaneko, Henrique Guilherme Hisashi Linear regression Mixed models Multivariate analysis Phaseolus vulgaris L. Regressão linear Modelos mistos Análise multivariada Phaseolus vulgaris L. |
title_short |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
title_full |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
title_fullStr |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
title_full_unstemmed |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
title_sort |
Analysis of statistical methods to estimate genotype-by-environment interaction for yield-based selection of new bean cultivars and lines |
author |
Kaneko, Henrique Guilherme Hisashi |
author_facet |
Kaneko, Henrique Guilherme Hisashi Fonseca Júnior, Nelson da Silva Cirino, Vania Moda |
author_role |
author |
author2 |
Fonseca Júnior, Nelson da Silva Cirino, Vania Moda |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Kaneko, Henrique Guilherme Hisashi Fonseca Júnior, Nelson da Silva Cirino, Vania Moda |
dc.subject.por.fl_str_mv |
Linear regression Mixed models Multivariate analysis Phaseolus vulgaris L. Regressão linear Modelos mistos Análise multivariada Phaseolus vulgaris L. |
topic |
Linear regression Mixed models Multivariate analysis Phaseolus vulgaris L. Regressão linear Modelos mistos Análise multivariada Phaseolus vulgaris L. |
description |
This study aimed to assess the statistical methods available to estimate genotype-by-environment (GxE) for yield-based selection of new bean cultivars and lines, and identify a testing strategy capable of reducing the number of test years and producing reliable results. Fourteen genotypes were tested in 23 environments in Paraná state, Brazil, over three consecutive years. The yield data obtained in each environment were submitted to homogeneity of variance analysis, normality testing, individual and pooled analysis of variance (ANOVA) of all the environments. GxE interaction was studied using linear, multivariate, and mixed model regression. Analyses were performed using data from two and three years of assessment. For linear and mixed model regression, the number of years analyzed did not affect result interpretation. However, in multivariate analysis, genotype behavior varied in the environments studied according to the number of years analyzed. The results obtained indicate that two years of assessment were sufficient to indicate new cultivars adapted to different environments. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/47620 10.5433/1679-0359.2023v44n5p1805 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/47620 |
identifier_str_mv |
10.5433/1679-0359.2023v44n5p1805 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/47620/49768 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 44 No. 5 (2023); 1805-1824 Semina: Ciências Agrárias; v. 44 n. 5 (2023); 1805-1824 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1799306086952468480 |