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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Main Authors: Rogério Lunezzo de Oliveira, Renzo Garcia Von Pinho, Daniel Furtado Ferreira, Luiz Paulo Miranda Pires, Wagner Mateus Costa Melo
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/360570
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author Rogério Lunezzo de Oliveira
Renzo Garcia Von Pinho
Daniel Furtado Ferreira
Luiz Paulo Miranda Pires
Wagner Mateus Costa Melo
author_facet Rogério Lunezzo de Oliveira
Renzo Garcia Von Pinho
Daniel Furtado Ferreira
Luiz Paulo Miranda Pires
Wagner Mateus Costa Melo
author_sort Rogério Lunezzo de Oliveira
collection DOAJ
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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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-46ef78ddaeb540a9a93e1b0e5b6ce4ec2025-02-03T07:25:30ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/360570360570Selection Index in the Study of Adaptability and Stability in MaizeRogério Lunezzo de Oliveira0Renzo Garcia Von Pinho1Daniel Furtado Ferreira2Luiz Paulo Miranda Pires3Wagner Mateus Costa Melo4Engenheiro Agrônomo, Mestre em Genética e Melhoramento de Plantas, DuPont do Brasil S.A. Divisão Pioneer Sementes, Rodovia GO 210 km 04, Fazenda Santa Maria de Baixo, Zona Rural, Caixa Postal 1014, 75503-970 Itumbiara, GO, BrazilEngenheiro Agrônomo, Doutor em Genética e Melhoramento de Plantas, Departamento de Agricultura/DAG, Universidade Federal de Lavras (UFLA), Lavras, MG, BrazilEngenheiro Agrônomo, Pós-Doutor em Estatística e Experimentação Agronômica, Departamento de Ciências Exatas (DEX), Universidade Federal de Lavras (UFLA), Lavras, MG, BrazilEngenheiro Agrônomo, Mestre em Genética e Melhoramento de Plantas, Departamento de Biologia/DBI, Universidade Federal de Lavras (UFLA), Lavras, MG, BrazilEngenheiro Agrônomo, Doutor Agronomia/Fitotecnia, Advanta Comércio de Sementes Ltda, Florianópolis, SC, BrazilThis 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.http://dx.doi.org/10.1155/2014/360570
spellingShingle Rogério Lunezzo de Oliveira
Renzo Garcia Von Pinho
Daniel Furtado Ferreira
Luiz Paulo Miranda Pires
Wagner Mateus Costa Melo
Selection Index in the Study of Adaptability and Stability in Maize
The Scientific World Journal
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
url http://dx.doi.org/10.1155/2014/360570
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