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Selection Index in the Study of Adaptability and Stability in Maize
This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948358/ https://www.ncbi.nlm.nih.gov/pubmed/24696641 http://dx.doi.org/10.1155/2014/360570 |
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author | Lunezzo de Oliveira, Rogério Garcia Von Pinho, Renzo Furtado Ferreira, Daniel Miranda Pires, Luiz Paulo Costa Melo, Wagner Mateus |
author_facet | Lunezzo de Oliveira, Rogério Garcia Von Pinho, Renzo Furtado Ferreira, Daniel Miranda Pires, Luiz Paulo Costa Melo, Wagner Mateus |
author_sort | Lunezzo de Oliveira, Rogério |
collection | PubMed |
description | This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was estimated by means of the generalized Mahalanobis distance for each plot of the test. We then proceeded to GGE biplot analysis in order to compare the predictive accuracy of the GGE models and the grouping of environments and to select the best five hybrids. The G × E interaction was significant for both variables assessed. The GGE model with two principal components obtained a predictive accuracy (PRECORR) of 0.8913 for the GIDI and 0.8709 for yield (t ha(−1)). Two groups of environments were obtained upon analyzing the GIDI, whereas all the environments remained in the same group upon analyzing yield. Coincidence occurred in only two hybrids considering evaluation of the two features. The GIDI assessment provided for selection of hybrids that combine adaptability and stability in most of the variables assessed, making its use more highly recommended than analyzing each variable separately. Not all the higher-yielding hybrids were the best in the other variables assessed. |
format | Online Article Text |
id | pubmed-3948358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39483582014-04-02 Selection Index in the Study of Adaptability and Stability in Maize Lunezzo de Oliveira, Rogério Garcia Von Pinho, Renzo Furtado Ferreira, Daniel Miranda Pires, Luiz Paulo Costa Melo, Wagner Mateus ScientificWorldJournal Research Article This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was estimated by means of the generalized Mahalanobis distance for each plot of the test. We then proceeded to GGE biplot analysis in order to compare the predictive accuracy of the GGE models and the grouping of environments and to select the best five hybrids. The G × E interaction was significant for both variables assessed. The GGE model with two principal components obtained a predictive accuracy (PRECORR) of 0.8913 for the GIDI and 0.8709 for yield (t ha(−1)). Two groups of environments were obtained upon analyzing the GIDI, whereas all the environments remained in the same group upon analyzing yield. Coincidence occurred in only two hybrids considering evaluation of the two features. The GIDI assessment provided for selection of hybrids that combine adaptability and stability in most of the variables assessed, making its use more highly recommended than analyzing each variable separately. Not all the higher-yielding hybrids were the best in the other variables assessed. Hindawi Publishing Corporation 2014-02-13 /pmc/articles/PMC3948358/ /pubmed/24696641 http://dx.doi.org/10.1155/2014/360570 Text en Copyright © 2014 Rogério Lunezzo de Oliveira et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lunezzo de Oliveira, Rogério Garcia Von Pinho, Renzo Furtado Ferreira, Daniel Miranda Pires, Luiz Paulo Costa Melo, Wagner Mateus Selection Index in the Study of Adaptability and Stability in Maize |
title | Selection Index in the Study of Adaptability and Stability in Maize |
title_full | Selection Index in the Study of Adaptability and Stability in Maize |
title_fullStr | Selection Index in the Study of Adaptability and Stability in Maize |
title_full_unstemmed | Selection Index in the Study of Adaptability and Stability in Maize |
title_short | Selection Index in the Study of Adaptability and Stability in Maize |
title_sort | selection index in the study of adaptability and stability in maize |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948358/ https://www.ncbi.nlm.nih.gov/pubmed/24696641 http://dx.doi.org/10.1155/2014/360570 |
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