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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...

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Autores principales: Lunezzo de Oliveira, Rogério, Garcia Von Pinho, Renzo, Furtado Ferreira, Daniel, Miranda Pires, Luiz Paulo, Costa Melo, Wagner Mateus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
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.
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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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