Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation.
The best agro-industrial performance presented by a crop genotype in one environment may not be reproduced in another owing to complex edaphoclimatic variations. Therefore, breeding programs are constantly attempting to obtain, through artificial hybridization, novel genotypes with high adaptability...
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oai:doaj.org-article:6bce90e694f642a7ab877185234fda962021-12-02T20:09:13ZGenetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation.1932-620310.1371/journal.pone.0254413https://doaj.org/article/6bce90e694f642a7ab877185234fda962021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254413https://doaj.org/toc/1932-6203The best agro-industrial performance presented by a crop genotype in one environment may not be reproduced in another owing to complex edaphoclimatic variations. Therefore, breeding programs are constantly attempting to obtain, through artificial hybridization, novel genotypes with high adaptability and stability potential. The objective of this study was to analyze genetic divergence in sugarcane based on the genotypic values of adaptability and stability. A total of 11 sugarcane genotypes were analyzed for eight agro-industrial traits. The genotypic values of the traits were determined using mixed model methodology, and the genetic divergence based on phenotypic and genotypic values was measured using the Mahalanobis distance. The distance matrices were correlated using the Mantel test, and the genotypes were grouped using the Tocher method. Genetic divergence is more accurate when based on genotypic values free of genotype-environment interactions and will differ from genetic divergence based on phenotypic data, changing the genotype allocations in the groups. The above methodology can be applied to assess genetic divergence to obtain novel sugarcane genotypes with higher productivity that are adapted to intensive agricultural systems using diverse technologies. This methodology can also be tested in other crops to increase accuracy in selecting the parents to be crossed.João de Andrade Dutra FilhoTercilio Calsa JúniorDjalma Euzébio Simões NetoLauter Silva SoutoAnielson Dos Santos SouzaRômulo Gil de LunaFrank Gomes-SilvaGuilherme Rocha MoreiraMoacyr Cunha-FilhoAndré Luiz Pinto Dos SantosCícero Carlos Ramos de BritoFabiana Aparecida Cavalcante SilvaAndréa Chaves Fiuza PortoMaria Lindomárcia Leonardo da CostaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254413 (2021) |
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Medicine R Science Q João de Andrade Dutra Filho Tercilio Calsa Júnior Djalma Euzébio Simões Neto Lauter Silva Souto Anielson Dos Santos Souza Rômulo Gil de Luna Frank Gomes-Silva Guilherme Rocha Moreira Moacyr Cunha-Filho André Luiz Pinto Dos Santos Cícero Carlos Ramos de Brito Fabiana Aparecida Cavalcante Silva Andréa Chaves Fiuza Porto Maria Lindomárcia Leonardo da Costa Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
description |
The best agro-industrial performance presented by a crop genotype in one environment may not be reproduced in another owing to complex edaphoclimatic variations. Therefore, breeding programs are constantly attempting to obtain, through artificial hybridization, novel genotypes with high adaptability and stability potential. The objective of this study was to analyze genetic divergence in sugarcane based on the genotypic values of adaptability and stability. A total of 11 sugarcane genotypes were analyzed for eight agro-industrial traits. The genotypic values of the traits were determined using mixed model methodology, and the genetic divergence based on phenotypic and genotypic values was measured using the Mahalanobis distance. The distance matrices were correlated using the Mantel test, and the genotypes were grouped using the Tocher method. Genetic divergence is more accurate when based on genotypic values free of genotype-environment interactions and will differ from genetic divergence based on phenotypic data, changing the genotype allocations in the groups. The above methodology can be applied to assess genetic divergence to obtain novel sugarcane genotypes with higher productivity that are adapted to intensive agricultural systems using diverse technologies. This methodology can also be tested in other crops to increase accuracy in selecting the parents to be crossed. |
format |
article |
author |
João de Andrade Dutra Filho Tercilio Calsa Júnior Djalma Euzébio Simões Neto Lauter Silva Souto Anielson Dos Santos Souza Rômulo Gil de Luna Frank Gomes-Silva Guilherme Rocha Moreira Moacyr Cunha-Filho André Luiz Pinto Dos Santos Cícero Carlos Ramos de Brito Fabiana Aparecida Cavalcante Silva Andréa Chaves Fiuza Porto Maria Lindomárcia Leonardo da Costa |
author_facet |
João de Andrade Dutra Filho Tercilio Calsa Júnior Djalma Euzébio Simões Neto Lauter Silva Souto Anielson Dos Santos Souza Rômulo Gil de Luna Frank Gomes-Silva Guilherme Rocha Moreira Moacyr Cunha-Filho André Luiz Pinto Dos Santos Cícero Carlos Ramos de Brito Fabiana Aparecida Cavalcante Silva Andréa Chaves Fiuza Porto Maria Lindomárcia Leonardo da Costa |
author_sort |
João de Andrade Dutra Filho |
title |
Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
title_short |
Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
title_full |
Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
title_fullStr |
Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
title_full_unstemmed |
Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation. |
title_sort |
genetic divergence for adaptability and stability in sugarcane: proposal for a more accurate evaluation. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/6bce90e694f642a7ab877185234fda96 |
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