AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties

Detalhes bibliográficos
Autor(a) principal: Oliveira, Eder Jorge de
Data de Publicação: 2014
Outros Autores: Freitas, Juan Paulo Xavier de, Jesus, Onildo Nunes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/80618
Resumo: High yield stability and adaptability of yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) are highly desirable attributes when exploring different environments. This study aimed to evaluate the adaptability and yield stability of yellow passion fruit varieties using AMMI (additive main effects and multiplicative interaction) and other ancillary statistics. Twelve varieties were evaluated in eight environments. Analysis of variance showed effects attributable to the varieties (G), environment (E) and their interaction (G × E). The first two multiplicative components of the interaction accounted for 69% of the sum of squares. The scores of the principal interaction components showed high variability for the environments relative to the variety effects. High varietal phenotypic stability was observed in three environments; which can be used in yellow passion fruit breeding programs for initial selection trials. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index were useful for discriminating genotypes with superior and stable fruit yield. AMMI analysis also allowed for the identification of more productive varieties in specific environments, leading to significant increase in passion fruit productivity.
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spelling AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties High yield stability and adaptability of yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) are highly desirable attributes when exploring different environments. This study aimed to evaluate the adaptability and yield stability of yellow passion fruit varieties using AMMI (additive main effects and multiplicative interaction) and other ancillary statistics. Twelve varieties were evaluated in eight environments. Analysis of variance showed effects attributable to the varieties (G), environment (E) and their interaction (G × E). The first two multiplicative components of the interaction accounted for 69% of the sum of squares. The scores of the principal interaction components showed high variability for the environments relative to the variety effects. High varietal phenotypic stability was observed in three environments; which can be used in yellow passion fruit breeding programs for initial selection trials. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index were useful for discriminating genotypes with superior and stable fruit yield. AMMI analysis also allowed for the identification of more productive varieties in specific environments, leading to significant increase in passion fruit productivity. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/8061810.1590/S0103-90162014000200008Scientia Agricola; v. 71 n. 2 (2014); 139-145Scientia Agricola; Vol. 71 Núm. 2 (2014); 139-145Scientia Agricola; Vol. 71 No. 2 (2014); 139-1451678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/80618/84277Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessOliveira, Eder Jorge deFreitas, Juan Paulo Xavier deJesus, Onildo Nunes de2014-05-08T16:22:53Zoai:revistas.usp.br:article/80618Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2014-05-08T16:22:53Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
title AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
spellingShingle AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
Oliveira, Eder Jorge de
title_short AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
title_full AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
title_fullStr AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
title_full_unstemmed AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
title_sort AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
author Oliveira, Eder Jorge de
author_facet Oliveira, Eder Jorge de
Freitas, Juan Paulo Xavier de
Jesus, Onildo Nunes de
author_role author
author2 Freitas, Juan Paulo Xavier de
Jesus, Onildo Nunes de
author2_role author
author
dc.contributor.author.fl_str_mv Oliveira, Eder Jorge de
Freitas, Juan Paulo Xavier de
Jesus, Onildo Nunes de
description High yield stability and adaptability of yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) are highly desirable attributes when exploring different environments. This study aimed to evaluate the adaptability and yield stability of yellow passion fruit varieties using AMMI (additive main effects and multiplicative interaction) and other ancillary statistics. Twelve varieties were evaluated in eight environments. Analysis of variance showed effects attributable to the varieties (G), environment (E) and their interaction (G × E). The first two multiplicative components of the interaction accounted for 69% of the sum of squares. The scores of the principal interaction components showed high variability for the environments relative to the variety effects. High varietal phenotypic stability was observed in three environments; which can be used in yellow passion fruit breeding programs for initial selection trials. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index were useful for discriminating genotypes with superior and stable fruit yield. AMMI analysis also allowed for the identification of more productive varieties in specific environments, leading to significant increase in passion fruit productivity.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-01
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://www.revistas.usp.br/sa/article/view/80618
10.1590/S0103-90162014000200008
url https://www.revistas.usp.br/sa/article/view/80618
identifier_str_mv 10.1590/S0103-90162014000200008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/80618/84277
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 71 n. 2 (2014); 139-145
Scientia Agricola; Vol. 71 Núm. 2 (2014); 139-145
Scientia Agricola; Vol. 71 No. 2 (2014); 139-145
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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