GGE biplot for stability and adaptability in cashew tree clones

Detalhes bibliográficos
Autor(a) principal: Iti Yokomizo, Gilberto Ken
Data de Publicação: 2018
Outros Autores: Chagas Vidal Neto, Francisco das, Hongyu, Kuang, Moura Barros, Levi de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agro@mbiente on-line
Texto Completo: https://revista.ufrr.br/agroambiente/article/view/4887
Resumo: The interaction genotype versus environment makes it difficult the genetic improvement of the species for the selection of more adapted and stable genotypes. Thus, the objective of this work was to evaluate new clones of early dwarf cashews, in terms of stability and adaptability, employing the GGE biplot methodology. The experimental design was based on randomized blocks with four replications and 15 treatments (different clones). The variables evaluated were cashew production per plant (PCP), average mass of chashew (MMC) and early harvest (PRE). The clones G1 and G3 for MMC, G15, G2, G14 and G8 for PRE and G3, G10 and G2 for PCP approached the ideotype; the clones identified as top for each characteristic were not coincident; the majority of the clones were stable for MMC, while for PRE and PCP were not stable; the clone G4 had the best average in PRE, but with low stability; in the GGE biplot the environments A3 for MMC, A4 to PRE and A5 for PCP were the most discriminating; all environments had greater contribution in the differentiation of clones in PRE and MMC, for PCP were the environments A4 and A5; in relation at the average representativeness the environments A1 in MMC and A2 for PRE and PCP stood out.
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spelling GGE biplot for stability and adaptability in cashew tree clonesAnacardium occidentale L.. Interaction genotype versus environment. Plant breeding.The interaction genotype versus environment makes it difficult the genetic improvement of the species for the selection of more adapted and stable genotypes. Thus, the objective of this work was to evaluate new clones of early dwarf cashews, in terms of stability and adaptability, employing the GGE biplot methodology. The experimental design was based on randomized blocks with four replications and 15 treatments (different clones). The variables evaluated were cashew production per plant (PCP), average mass of chashew (MMC) and early harvest (PRE). The clones G1 and G3 for MMC, G15, G2, G14 and G8 for PRE and G3, G10 and G2 for PCP approached the ideotype; the clones identified as top for each characteristic were not coincident; the majority of the clones were stable for MMC, while for PRE and PCP were not stable; the clone G4 had the best average in PRE, but with low stability; in the GGE biplot the environments A3 for MMC, A4 to PRE and A5 for PCP were the most discriminating; all environments had greater contribution in the differentiation of clones in PRE and MMC, for PCP were the environments A4 and A5; in relation at the average representativeness the environments A1 in MMC and A2 for PRE and PCP stood out.UFRR2018-10-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/488710.18227/1982-8470ragro.v12i3.4887AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 12 No. 3 (2018): JULHO-SETEMBRO; 162-176REVISTA AGRO@MBIENTE ON-LINE; Vol. 12 Núm. 3 (2018): JULHO-SETEMBRO; 162-176REVISTA AGRO@MBIENTE ON-LINE; v. 12 n. 3 (2018): JULHO-SETEMBRO; 162-1761982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/4887/2529Copyright (c) 2018 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessIti Yokomizo, Gilberto KenChagas Vidal Neto, Francisco dasHongyu, KuangMoura Barros, Levi de2018-10-30T20:20:33Zoai:oai.revista.ufrr.br:article/4887Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2018-10-30T20:20:33Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false
dc.title.none.fl_str_mv GGE biplot for stability and adaptability in cashew tree clones
title GGE biplot for stability and adaptability in cashew tree clones
spellingShingle GGE biplot for stability and adaptability in cashew tree clones
Iti Yokomizo, Gilberto Ken
Anacardium occidentale L.. Interaction genotype versus environment. Plant breeding.
title_short GGE biplot for stability and adaptability in cashew tree clones
title_full GGE biplot for stability and adaptability in cashew tree clones
title_fullStr GGE biplot for stability and adaptability in cashew tree clones
title_full_unstemmed GGE biplot for stability and adaptability in cashew tree clones
title_sort GGE biplot for stability and adaptability in cashew tree clones
author Iti Yokomizo, Gilberto Ken
author_facet Iti Yokomizo, Gilberto Ken
Chagas Vidal Neto, Francisco das
Hongyu, Kuang
Moura Barros, Levi de
author_role author
author2 Chagas Vidal Neto, Francisco das
Hongyu, Kuang
Moura Barros, Levi de
author2_role author
author
author
dc.contributor.author.fl_str_mv Iti Yokomizo, Gilberto Ken
Chagas Vidal Neto, Francisco das
Hongyu, Kuang
Moura Barros, Levi de
dc.subject.por.fl_str_mv Anacardium occidentale L.. Interaction genotype versus environment. Plant breeding.
topic Anacardium occidentale L.. Interaction genotype versus environment. Plant breeding.
description The interaction genotype versus environment makes it difficult the genetic improvement of the species for the selection of more adapted and stable genotypes. Thus, the objective of this work was to evaluate new clones of early dwarf cashews, in terms of stability and adaptability, employing the GGE biplot methodology. The experimental design was based on randomized blocks with four replications and 15 treatments (different clones). The variables evaluated were cashew production per plant (PCP), average mass of chashew (MMC) and early harvest (PRE). The clones G1 and G3 for MMC, G15, G2, G14 and G8 for PRE and G3, G10 and G2 for PCP approached the ideotype; the clones identified as top for each characteristic were not coincident; the majority of the clones were stable for MMC, while for PRE and PCP were not stable; the clone G4 had the best average in PRE, but with low stability; in the GGE biplot the environments A3 for MMC, A4 to PRE and A5 for PCP were the most discriminating; all environments had greater contribution in the differentiation of clones in PRE and MMC, for PCP were the environments A4 and A5; in relation at the average representativeness the environments A1 in MMC and A2 for PRE and PCP stood out.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-29
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://revista.ufrr.br/agroambiente/article/view/4887
10.18227/1982-8470ragro.v12i3.4887
url https://revista.ufrr.br/agroambiente/article/view/4887
identifier_str_mv 10.18227/1982-8470ragro.v12i3.4887
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/4887/2529
dc.rights.driver.fl_str_mv Copyright (c) 2018 REVISTA AGRO@MBIENTE ON-LINE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 REVISTA AGRO@MBIENTE ON-LINE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRR
publisher.none.fl_str_mv UFRR
dc.source.none.fl_str_mv AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 12 No. 3 (2018): JULHO-SETEMBRO; 162-176
REVISTA AGRO@MBIENTE ON-LINE; Vol. 12 Núm. 3 (2018): JULHO-SETEMBRO; 162-176
REVISTA AGRO@MBIENTE ON-LINE; v. 12 n. 3 (2018): JULHO-SETEMBRO; 162-176
1982-8470
reponame:Agro@mbiente on-line
instname:Universidade Federal de Roraima (UFRR)
instacron:UFRR
instname_str Universidade Federal de Roraima (UFRR)
instacron_str UFRR
institution UFRR
reponame_str Agro@mbiente on-line
collection Agro@mbiente on-line
repository.name.fl_str_mv Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)
repository.mail.fl_str_mv ||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br
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