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ISHS Acta Horticulturae 729: III Balkan Symposium on Vegetables and Potatoes

EVALUATION OF A LARGE-FRUITED DETERMINATE TOMATO COLLECTION USING CLUSTER ANALYSIS AND PRINCIPAL COMPONENT ANALYSIS (PCA)

Authors:   D. Dimova, L. Krasteva
Keywords:   tomato, cluster analysis, principal component analysis, PCA
Abstract:
The progress achieved in plant breeding, irrespective of breeding lines, depends on the good knowledge of source parent forms, as well as on the desired traits in progenies. The experimental work was conducted at the Institute for Plant Genetic Resources (IPGR) in Sadovo during the period 1998-2003. Thirty four accessions of large-fruited tomatoes of foreign origin were tested. The objective of the present work was to determine the genetic remoteness of accessions, to explain the reasons for their clustering, as well as to recommend the selection of the most suitable accessions with a view to solving future breeding tasks. Amongst the 15 traits involved in the study, the strongest effect on genotype clustering was exerted by dry matter content, sugar content, mean fruit weight and number of locules per fruit. The combined application of cluster analysis and principle component analysis (PCA) reduced the subjective factor influence and facilitated and directed planning of further breeding work. The best breeding results in terms of productivity and fruit quality could be expected when genotypes of the two opposite clusters are crossed.

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