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

Autor:	Filho JAD; Biological Sciences Nucleus, Federal University of Pernambuco, Vitória de Santo Antão, Pernambuco, Brazil., Calsa Júnior T; Genetics Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil., Simões Neto DE; Carpina Sugarcane Experimental Station, Federal Rural University of Pernambuco, Carpina, Pernambuco, Brazil., Souto LS; Agrarian Sciences Academic Unit, Federal University of Campina Grande, Pombal, Paraíba, Brazil., Souza ADS; Agrarian Sciences Academic Unit, Federal University of Campina Grande, Pombal, Paraíba, Brazil., de Luna RG; Environmental Technology Sciences Academic Unit, Federal University of Campina Grande, Pombal, Paraíba, Brazil., Gomes-Silva F; Statistics and Informatics Department, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil., Moreira GR; Statistics and Informatics Department, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil., Cunha-Filho M; Statistics and Informatics Department, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil., Pinto Dos Santos AL; Statistics and Informatics Department, Federal Rural University of Pernambuco, Recife, Pernambuco, Brazil., Ramos de Brito CC; Federal Institute of Pernambuco, Recife, Pernambuco, Brazil., Cavalcante Silva FA; Phytosanitary Diagnosis Laboratory, Northeast Strategic Technologies Center, Recife, Pernambuco, Brazil., Fiuza Porto AC; Agricultural College Dom Agostinho Ikas, Federal Rural University of Pernambuco, Carpina, Pernambuco, Brazil., da Costa MLL; Animal Science Department, Federal University of Paraíba, Areia, Paraíba, Brazil.
Jazyk:	angličtina
Zdroj:	PloS one [PLoS One] 2021 Jul 15; Vol. 16 (7), pp. e0254413. Date of Electronic Publication: 2021 Jul 15 (Print Publication: 2021).
DOI:	10.1371/journal.pone.0254413
Abstrakt:	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. Competing Interests: The authors have declared that no competing interests exist.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu