Using Gower's algorithm on the genetic divergence determination among cherry tomato accessions

作者：Rocha Mariella Camargo^*; Azeredo Goncalves Leandro Simoes; Rodrigues Rosana; Alves da Silva Paula Renata; Ferreira do Carmo Margarida Gorete; de Souza Abboud Antonio Carlos

来源：Acta Scientiarum - Agronomy, 2010, 32(3): 423-431.

DOI：10.4025/actasciagron.v32i3.4888

• Solanum lycopersicum
• multivariate analysis
• qualitative descriptors
• quantitative descriptors
• R software

Using Gower's algorithm on the genetic divergence determination among cherry tomato accessions. The joint analysis of qualitative and quantitative variables has been considered a useful tool to estimate the genetic divergence among accessions of a gene bank. The purpose of this research was: (i) to characterize a collection of cherry, tomatoes, using quantitative and qualitative descriptors, and (ii) to use Gower's algorithm to quantify genetic divergence among genotypes, employing a joint descriptors analysis. Forty accessions of organically grown cherry tomato were studied in Seropedica, Rio de Janeiro, Brazil. Four qualitative fruit descriptors and nine qualitative descriptors were used. Data were analyzed using Gower's algorithm. There was variability for color, shape and number of locules per fruit. The red color was observed in fruits of 25 accessions. Fruit with different colors such as yellow, orange and brown were also observed. Regarding locule number, the presence of fruit with two, three, four and even with seven locules was detected. The UPGMA method resulted in the highest value for cophenetic correlation (0.80) and seven clusters were formed. The formed clusters made it possible to distinguish fruit classified as cherry tomato from other type grouped in different clusters, because the fruits this category were larger than cherry type considering the equatorial diameter of the fruit.

• 出版日期2010-9