Principal Component and Cluster Analysis Based on Fruit Traits in ILs of Tomato
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    Abstract:

    The introgression line population, which was generated via processing tomato parent S. lycopersicum M82 and a wild species S. pennellii LA716, was employed in this paper to evaluate seven fruit’s traits using principal component and cluster analysis. The results showed that these seven fruit traits were mainly composed of three independent principal components, including fruit weight factor, fruit shape factor and fruit quality factor, that the cumulative contribution of these three factors was 85.44%. Furthermore, 77 introgression lines can be divided into three groups by euclidean distance UPGMA method. The first group include 70 lines and can be divied in to two sub-group at D=20.65 level. The second group include one lines, and the third group included six lines. The experimental result shows that the 70 lines with excellent fruit traits mostly belong to group one.

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History
  • Received:July 01,2014
  • Revised:August 04,2014
  • Adopted:May 26,2015
  • Online: June 11,2015
  • Published:
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