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

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 and Maria Lindomárcia Leonardo da Costa

PLOS ONE, 2021, vol. 16, issue 7, 1-18

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.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254413 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 54413&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0254413

DOI: 10.1371/journal.pone.0254413

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().