Stability and adaptability of upland rice genotypes
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
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=S1984-70332010000400011 |
Resumo: | The aim of this study was to identify upland rice genotypes with high stability and adaptability by the GGE biplot method based on the predicted genotypic and phenotypic values. Of the 20 genotypes evaluated, 14 were lines developed by the cooperative program for rice improvement of Minas Gerais and six were controls. The GGE biplot analysis showed that cultivar BRS Pepita and MG1097 were closest to the ideal genotype. In the comparison of the fixed with the random models (% G + GE, prediction error sum of squares and correlation), it was observed that the use of phenotypic means in all comparative parameters indicated a lower predictive potential under simulated imbalance than the use of predicted genotypic values. The conclusion was drawn that BRS Pepita and MG1097 are ideal genotypes for southern Minas Gerais and that the predictive power of the phenotypic means underlying the study of stability and adaptability is lower than of genotypic means. |
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Crop Breeding and Applied Biotechnology |
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Stability and adaptability of upland rice genotypesOryza sativacross-validationgenotype by environment interactionBLUPThe aim of this study was to identify upland rice genotypes with high stability and adaptability by the GGE biplot method based on the predicted genotypic and phenotypic values. Of the 20 genotypes evaluated, 14 were lines developed by the cooperative program for rice improvement of Minas Gerais and six were controls. The GGE biplot analysis showed that cultivar BRS Pepita and MG1097 were closest to the ideal genotype. In the comparison of the fixed with the random models (% G + GE, prediction error sum of squares and correlation), it was observed that the use of phenotypic means in all comparative parameters indicated a lower predictive potential under simulated imbalance than the use of predicted genotypic values. The conclusion was drawn that BRS Pepita and MG1097 are ideal genotypes for southern Minas Gerais and that the predictive power of the phenotypic means underlying the study of stability and adaptability is lower than of genotypic means.Crop Breeding and Applied Biotechnology2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000400011Crop Breeding and Applied Biotechnology v.10 n.4 2010reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/S1984-70332010000400011info:eu-repo/semantics/openAccessBalestre,MarcioSantos,Vanderley Borges dosSoares,Antonio AlvesReis,Moisés Souzaeng2011-04-14T00:00:00Zoai:scielo:S1984-70332010000400011Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2011-04-14T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Stability and adaptability of upland rice genotypes |
title |
Stability and adaptability of upland rice genotypes |
spellingShingle |
Stability and adaptability of upland rice genotypes Balestre,Marcio Oryza sativa cross-validation genotype by environment interaction BLUP |
title_short |
Stability and adaptability of upland rice genotypes |
title_full |
Stability and adaptability of upland rice genotypes |
title_fullStr |
Stability and adaptability of upland rice genotypes |
title_full_unstemmed |
Stability and adaptability of upland rice genotypes |
title_sort |
Stability and adaptability of upland rice genotypes |
author |
Balestre,Marcio |
author_facet |
Balestre,Marcio Santos,Vanderley Borges dos Soares,Antonio Alves Reis,Moisés Souza |
author_role |
author |
author2 |
Santos,Vanderley Borges dos Soares,Antonio Alves Reis,Moisés Souza |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Balestre,Marcio Santos,Vanderley Borges dos Soares,Antonio Alves Reis,Moisés Souza |
dc.subject.por.fl_str_mv |
Oryza sativa cross-validation genotype by environment interaction BLUP |
topic |
Oryza sativa cross-validation genotype by environment interaction BLUP |
description |
The aim of this study was to identify upland rice genotypes with high stability and adaptability by the GGE biplot method based on the predicted genotypic and phenotypic values. Of the 20 genotypes evaluated, 14 were lines developed by the cooperative program for rice improvement of Minas Gerais and six were controls. The GGE biplot analysis showed that cultivar BRS Pepita and MG1097 were closest to the ideal genotype. In the comparison of the fixed with the random models (% G + GE, prediction error sum of squares and correlation), it was observed that the use of phenotypic means in all comparative parameters indicated a lower predictive potential under simulated imbalance than the use of predicted genotypic values. The conclusion was drawn that BRS Pepita and MG1097 are ideal genotypes for southern Minas Gerais and that the predictive power of the phenotypic means underlying the study of stability and adaptability is lower than of genotypic means. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12-01 |
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=S1984-70332010000400011 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000400011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1984-70332010000400011 |
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.10 n.4 2010 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 |
_version_ |
1754209185870905344 |