Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models

Detalhes bibliográficos
Autor(a) principal: Singh,Charan
Data de Publicação: 2019
Outros Autores: Gupta,Arun, Gupta,Vikas, Kumar,Pradeep, Sendhil,R, Tyagi,BS, Singh,Gyanendra, Chatrath,Ravish, Singh,GP
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000300309
Resumo: Abstract Fifty wheat genotypes were evaluated at nine diverse locations in India to identify high-yielding and stable genotypes. The analysis of variance based on additive main effects and multiplicative interaction (AMMI) indicated significant genotype, environment and genotype - environment (GE) interactions, with a total variation of 5.99, 20.23 and 73.77%, respectively. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield in a single non-parametric index were used to discriminate the genotypes with highest and stable yield; the genotypes G135, G125, G104, G112 and G144 were found to be promising. Two mega environments (ME) were identified based on GGE (genotype and GE interaction) biplot analysis and the genotypes G119 and G120 and G107, G148 and G146 performed best in the mega-environments ME I and ME II, respectively. Both approaches allowed the identification of stable genotypes (G112 and G135), which can be included in the national testing program, with a view to release a new variety.
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spelling Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot modelsAMMIbiplotGGEstabilitywheatAbstract Fifty wheat genotypes were evaluated at nine diverse locations in India to identify high-yielding and stable genotypes. The analysis of variance based on additive main effects and multiplicative interaction (AMMI) indicated significant genotype, environment and genotype - environment (GE) interactions, with a total variation of 5.99, 20.23 and 73.77%, respectively. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield in a single non-parametric index were used to discriminate the genotypes with highest and stable yield; the genotypes G135, G125, G104, G112 and G144 were found to be promising. Two mega environments (ME) were identified based on GGE (genotype and GE interaction) biplot analysis and the genotypes G119 and G120 and G107, G148 and G146 performed best in the mega-environments ME I and ME II, respectively. Both approaches allowed the identification of stable genotypes (G112 and G135), which can be included in the national testing program, with a view to release a new variety.Crop Breeding and Applied Biotechnology2019-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000300309Crop Breeding and Applied Biotechnology v.19 n.3 2019reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332019v19n3a43info:eu-repo/semantics/openAccessSingh,CharanGupta,ArunGupta,VikasKumar,PradeepSendhil,RTyagi,BSSingh,GyanendraChatrath,RavishSingh,GPeng2019-10-29T00:00:00Zoai:scielo:S1984-70332019000300309Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2019-10-29T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
title Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
spellingShingle Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
Singh,Charan
AMMI
biplot
GGE
stability
wheat
title_short Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
title_full Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
title_fullStr Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
title_full_unstemmed Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
title_sort Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models
author Singh,Charan
author_facet Singh,Charan
Gupta,Arun
Gupta,Vikas
Kumar,Pradeep
Sendhil,R
Tyagi,BS
Singh,Gyanendra
Chatrath,Ravish
Singh,GP
author_role author
author2 Gupta,Arun
Gupta,Vikas
Kumar,Pradeep
Sendhil,R
Tyagi,BS
Singh,Gyanendra
Chatrath,Ravish
Singh,GP
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Singh,Charan
Gupta,Arun
Gupta,Vikas
Kumar,Pradeep
Sendhil,R
Tyagi,BS
Singh,Gyanendra
Chatrath,Ravish
Singh,GP
dc.subject.por.fl_str_mv AMMI
biplot
GGE
stability
wheat
topic AMMI
biplot
GGE
stability
wheat
description Abstract Fifty wheat genotypes were evaluated at nine diverse locations in India to identify high-yielding and stable genotypes. The analysis of variance based on additive main effects and multiplicative interaction (AMMI) indicated significant genotype, environment and genotype - environment (GE) interactions, with a total variation of 5.99, 20.23 and 73.77%, respectively. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield in a single non-parametric index were used to discriminate the genotypes with highest and stable yield; the genotypes G135, G125, G104, G112 and G144 were found to be promising. Two mega environments (ME) were identified based on GGE (genotype and GE interaction) biplot analysis and the genotypes G119 and G120 and G107, G148 and G146 performed best in the mega-environments ME I and ME II, respectively. Both approaches allowed the identification of stable genotypes (G112 and G135), which can be included in the national testing program, with a view to release a new variety.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000300309
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332019000300309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332019v19n3a43
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.19 n.3 2019
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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