| Autor: |
Evaldo de Paula, Rafael Nunes de Almeida, Talles de Oliveira Santos, José Dias de Souza Neto, Elaine Manelli Riva-Souza, Sheila Cristina Prucoli Posse, Maurício Novaes Souza, Aparecida de Fátima Madella de Oliveira, Alexandre Cristiano Santos Júnior, Jardel Oliveira Santos, Samy Pimenta, Cintia dos Santos Bento, Monique Moreira Moulin |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Plants, Vol 13, Iss 18, p 2584 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2223-7747 |
| DOI: |
10.3390/plants13182584 |
| Popis: |
The objective of this study was to evaluate the genetic diversity among traditional common bean accessions through morphological descriptors and molecular markers. Sixty-seven common bean accessions from the Germplasm bank of the Instituto Federal of Espírito Santo—Campus de Alegre were evaluated. For this, 25 specific morphological descriptors were used, namely 12 quantitative and 13 qualitative ones. A diversity analysis based on morphological descriptors was carried out using the Gower algorithm. For molecular characterization, 23 ISSR primers were used to estimate dissimilarity using the Jaccard Index. Based on the dendrograms obtained by the UPGMA method, for morphological and molecular characterization, high genetic variability was observed between the common bean genotypes studied, evidenced by cophenetic correlation values in the order of 0.99, indicating an accurate representation of the dissimilarity matrix by the UPGMA clustering. In the morphological characterization, high phenotypic diversity was observed between the accessions, with grains of different shapes, colors, and sizes, and the accessions were grouped into nine distinct groups. Molecular characterization was efficient in separating the genotypes in the Andean and Mesoamerican groups, with the 23 ISSR primers studied generating an average of 6.35 polymorphic bands. The work identified divergent accessions that can serve different market niches, which can be indicated as parents to form breeding programs in order to obtain progenies with high genetic variability. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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