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- Title
Diversity and structure of Coffea canephora from old seminal crops in Espírito Santo, Brazil: genetic resources for coffee breeding.
- Authors
Zaidan, Iasmine Ramos; Ferreira, Adésio; Noia, Luina Ribeiro; Santos, Jônatas Gomes; de Arruda, Valderson Cabral; do Couto, Diego Pereira; Braz, Ramon Azevedo; de Brites Senra, João Felipe; Partelli, Fábio Luiz; Azevedo, Camila Ferreira; da Silva Ferreira, Marcia Flores
- Abstract
The Coffea canephora germplasm, found in old seed crops in southern Espírito Santo, Brazil, represents a valuable genetic resource for coffee breeding programs. However, the renewal of these crops by clonal cultivars can narrow down the genetic base. Thus, this study aims to characterize the genetic diversity and population structure of 280 C. canephora genotypes from selected matrices in old (15–46-year-old) seed crops from southern Espírito Santo using Single Nucleotide Polymorphism (SNP) markers. Out of the 9491 SNPs retrieved from the Diversity Array Technology™ sequencing, 2542 high-quality SNPs were used for diversity and population STRUCTURE analyses, which detected two genetic pools. Cluster analysis revealed six clusters, some of which showed a high frequency of expected heterozygotes (HE), an indicative of the genetic diversity (GD) within this population. Clusters 4, 5, and 6, especially, harbor an abundance of heterozygous loci. High FST values were detected between clusters 4 and 2 (0.60), 2 and 5 (0.60), and 4 and 3 (0.50) and between the two genetic pools (0.59). This population's higher GD indices demonstrate that the old seed crops from southern Espírito Santo constitute a noticeably rich germplasm bank. This valuable source must be maintained and conserved to ensure coffee crop sustainability since it can broaden the genetic base once reduced by the replacement of crops with clonal cultivars.
- Subjects
ESPIRITO Santo (Brazil : State); BRAZIL; GERMPLASM; COFFEE beans; COFFEE plantations; SINGLE nucleotide polymorphisms; SEED crops; GENETIC variation; COFFEE
- Publication
Tree Genetics & Genomes, 2023, Vol 19, Issue 2, p1
- ISSN
1614-2942
- Publication type
Article
- DOI
10.1007/s11295-023-01594-x