AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
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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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 |
_version_ |
1800222792045559808 |