Genetic divergence among pumpkin landraces
| Autor: | Rebeca Lourenço de Oliveira, Leandro Simões Azeredo Gonçalves, Rosana Rodrigues, Viviane Yumi Baba, Cláudia Pombo Sudré, Marilene Hilma dos Santos, Fabrizio Malaghini Aranha |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Semina: Ciências Agrárias, Vol 37, Iss 2, Pp 547-556 (2016) |
| Druh dokumentu: | article |
| ISSN: | 1676-546X 1679-0359 |
| DOI: | 10.5433/1679-0359.2016v37n2p547 |
| Popis: | Estimating the genetic variability in germplasm collections is important not only for conserving genetic resources, but also for plant breeding purposes. However, generating a large number of different categories data (qualitative and quantitative) often complicate the analysis and results interpretation, resulting in an incomplete distinction of accessions. This study reports the characterization and evaluation of 14 pumpkin (Cucurbita moschata) accessions collected from farms in the northern region of Rio de Janeiro state. Genetic diversity among accessions was also estimated using qualitative and quantitative variables considering joint analysis. The plants were grown under field conditions in a randomized block design with three replications and six plants per plot. Eight qualitative traits (leaf size; seed shape; seed color; color of the fruit pulp; hollow; fruit shape; skin color, and fruit skin texture) and eight quantitative traits (fruit weight; fruit length; fruit diameter; soluble solids, 100 seed weight, and wall thickness measured in the middle and in the lower stem) were evaluated. The data were analyzed considering the Gower distance, and cluster analysis was performed using unweighted pair group method with arithmetic mean (UPGMA). Variability among accessions was observed considering morphoagronomic data. The Gower distance together with UPGMA cluster allowed for good discrimination between accessions in the groups, demonstrating that the simultaneous analysis of qualitative and quantitative data is feasible and may increase the understanding of the variation among accessions. |
| Databáze: | Directory of Open Access Journals |
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