morphoagronomic descriptors

Comparison of multivariate statistical algorithms to cluster tomato heirloom accessions

L. S. A. Gonçalves, Rodrigues, R., Júnior, A. T. Amaral, Karasawa, M., and Sudré, C. P., Comparison of multivariate statistical algorithms to cluster tomato heirloom accessions, vol. 7, pp. 1289-1297, 2008.

Use of multivariate statistical algorithms is considered an important strategy to quantify genetic similarity. Local varieties and traditional (heirloom) seeds of genotypes are key sources of genetic variation. The Universidade Estadual do Norte Fluminense (UENF), Rio de Janeiro, Brazil, has a tomato gene bank with accessions that have been maintained for more than 40 years. We compared various algorithms to estimate genetic distances and quantify the genetic divergence of 40 tomato accessions of this collection, based on separate and joint analyses of discrete and continuous variables.

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