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Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation

Author

Listed:
  • 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

Abstract

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.

Suggested Citation

  • 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 & M, 2021. "Genetic divergence for adaptability and stability in sugarcane: Proposal for a more accurate evaluation," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-18, July.
    • Handle: RePEc:plo:pone00:0254413
    DOI: 10.1371/journal.pone.0254413
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    1. Carolina Medeiros & Thiago Willian Almeida Balsalobre & Monalisa Sampaio Carneiro, 2020. "Molecular diversity and genetic structure of Saccharum complex accessions," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-17, May.
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