Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137116 https://doi.org/10.1590/ S1678-3921.pab2021.v56.02398 |
Resumo: | The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar. |
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Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil.Adaptabilidade produtivaCovariáveis ambientaisEnsaios multiambientesCana de AçúcarGenótipoComportamento de VariedadeSaccharumSugarcaneYieldsEnvironmental factorsGenotype-environment interactionThe objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar.RAFAEL FERREIRA MONTES, UFG; FLAVIO BRESEGHELLO, CNPAF; JOÃO BATISTA DUARTE, UFG.MONTES, R. F.BRESEGHELLO, F.DUARTE, J. B.2021-12-06T13:02:25Z2021-12-06T13:02:25Z2021-12-062021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, v. 56, e02398, 2021.1678-3921http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137116https://doi.org/10.1590/ S1678-3921.pab2021.v56.02398enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-12-06T13:02:35Zoai:www.alice.cnptia.embrapa.br:doc/1137116Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-12-06T13:02:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
title |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
spellingShingle |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. MONTES, R. F. Adaptabilidade produtiva Covariáveis ambientais Ensaios multiambientes Cana de Açúcar Genótipo Comportamento de Variedade Saccharum Sugarcane Yields Environmental factors Genotype-environment interaction |
title_short |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
title_full |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
title_fullStr |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
title_full_unstemmed |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
title_sort |
Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. |
author |
MONTES, R. F. |
author_facet |
MONTES, R. F. BRESEGHELLO, F. DUARTE, J. B. |
author_role |
author |
author2 |
BRESEGHELLO, F. DUARTE, J. B. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RAFAEL FERREIRA MONTES, UFG; FLAVIO BRESEGHELLO, CNPAF; JOÃO BATISTA DUARTE, UFG. |
dc.contributor.author.fl_str_mv |
MONTES, R. F. BRESEGHELLO, F. DUARTE, J. B. |
dc.subject.por.fl_str_mv |
Adaptabilidade produtiva Covariáveis ambientais Ensaios multiambientes Cana de Açúcar Genótipo Comportamento de Variedade Saccharum Sugarcane Yields Environmental factors Genotype-environment interaction |
topic |
Adaptabilidade produtiva Covariáveis ambientais Ensaios multiambientes Cana de Açúcar Genótipo Comportamento de Variedade Saccharum Sugarcane Yields Environmental factors Genotype-environment interaction |
description |
The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-06T13:02:25Z 2021-12-06T13:02:25Z 2021-12-06 2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Pesquisa Agropecuária Brasileira, v. 56, e02398, 2021. 1678-3921 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137116 https://doi.org/10.1590/ S1678-3921.pab2021.v56.02398 |
identifier_str_mv |
Pesquisa Agropecuária Brasileira, v. 56, e02398, 2021. 1678-3921 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137116 https://doi.org/10.1590/ S1678-3921.pab2021.v56.02398 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1817695622798508032 |