Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]

Detalhes bibliográficos
Autor(a) principal: Roy,Deepayan
Data de Publicação: 2022
Outros Autores: Gaur,Amit Kumar, Pandey,Indra Deo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Archives of Biology and Technology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100232
Resumo: Abstract G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. The G x E interaction was studied in ‘Antenna Panel’ genotypes Of rice using AMMI model. The results indicated that main effects as well as interactive G x E effects were significant for most of the traits. Major portion of the G x E was contributed by the genotypes. AMMI model having two principle components axis was found as the best predictive model. On the basis of biplots and ASV score SAHEL 177 for days to 50% flowering, SADRI for plant height; FEDEARROZ 50 for panicle length; CT11891-2-2-7-M for number of grains panicle-1 and SAHEL 108 for grain yield were considered as most stable genotypes in all the consecutive three environments. Moreover Yield Stability Index (YSI) supported the results that SAHEL 108 is the most superior genotype for grain yield over all the three environments of testing. Findings from this study are expected to help breeders to select suitable genotype on the basis of its performance and stability over locations. which can provide a head start to the rice improvement programmes for Indo-gangetic Plains and Hilly Tarai regions of India.
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spelling Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]AMMIG x E interactionRicestability.Abstract G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. The G x E interaction was studied in ‘Antenna Panel’ genotypes Of rice using AMMI model. The results indicated that main effects as well as interactive G x E effects were significant for most of the traits. Major portion of the G x E was contributed by the genotypes. AMMI model having two principle components axis was found as the best predictive model. On the basis of biplots and ASV score SAHEL 177 for days to 50% flowering, SADRI for plant height; FEDEARROZ 50 for panicle length; CT11891-2-2-7-M for number of grains panicle-1 and SAHEL 108 for grain yield were considered as most stable genotypes in all the consecutive three environments. Moreover Yield Stability Index (YSI) supported the results that SAHEL 108 is the most superior genotype for grain yield over all the three environments of testing. Findings from this study are expected to help breeders to select suitable genotype on the basis of its performance and stability over locations. which can provide a head start to the rice improvement programmes for Indo-gangetic Plains and Hilly Tarai regions of India.Instituto de Tecnologia do Paraná - Tecpar2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100232Brazilian Archives of Biology and Technology v.65 2022reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2022220202info:eu-repo/semantics/openAccessRoy,DeepayanGaur,Amit KumarPandey,Indra Deoeng2022-10-14T00:00:00Zoai:scielo:S1516-89132022000100232Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2022-10-14T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false
dc.title.none.fl_str_mv Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
title Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
spellingShingle Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
Roy,Deepayan
AMMI
G x E interaction
Rice
stability.
title_short Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
title_full Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
title_fullStr Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
title_full_unstemmed Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
title_sort Estimation of G x E Interaction by AMMI Model in ‘Antenna Panel’ Genotypes of Rice [Oryza sativa L.]
author Roy,Deepayan
author_facet Roy,Deepayan
Gaur,Amit Kumar
Pandey,Indra Deo
author_role author
author2 Gaur,Amit Kumar
Pandey,Indra Deo
author2_role author
author
dc.contributor.author.fl_str_mv Roy,Deepayan
Gaur,Amit Kumar
Pandey,Indra Deo
dc.subject.por.fl_str_mv AMMI
G x E interaction
Rice
stability.
topic AMMI
G x E interaction
Rice
stability.
description Abstract G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. The G x E interaction was studied in ‘Antenna Panel’ genotypes Of rice using AMMI model. The results indicated that main effects as well as interactive G x E effects were significant for most of the traits. Major portion of the G x E was contributed by the genotypes. AMMI model having two principle components axis was found as the best predictive model. On the basis of biplots and ASV score SAHEL 177 for days to 50% flowering, SADRI for plant height; FEDEARROZ 50 for panicle length; CT11891-2-2-7-M for number of grains panicle-1 and SAHEL 108 for grain yield were considered as most stable genotypes in all the consecutive three environments. Moreover Yield Stability Index (YSI) supported the results that SAHEL 108 is the most superior genotype for grain yield over all the three environments of testing. Findings from this study are expected to help breeders to select suitable genotype on the basis of its performance and stability over locations. which can provide a head start to the rice improvement programmes for Indo-gangetic Plains and Hilly Tarai regions of India.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S1516-89132022000100232
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100232
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4324-2022220202
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 Instituto de Tecnologia do Paraná - Tecpar
publisher.none.fl_str_mv Instituto de Tecnologia do Paraná - Tecpar
dc.source.none.fl_str_mv Brazilian Archives of Biology and Technology v.65 2022
reponame:Brazilian Archives of Biology and Technology
instname:Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
instname_str Instituto de Tecnologia do Paraná (Tecpar)
instacron_str TECPAR
institution TECPAR
reponame_str Brazilian Archives of Biology and Technology
collection Brazilian Archives of Biology and Technology
repository.name.fl_str_mv Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)
repository.mail.fl_str_mv babt@tecpar.br||babt@tecpar.br
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