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Study of multivariate analysis of quantitative traits in Iranian pumpkin lines
Author(s) -
Mehrab Yadegari,
Mohammad Hossein Ansari
Publication year - 2017
Publication title -
genetika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.24
H-Index - 15
eISSN - 1820-6069
pISSN - 0534-0012
DOI - 10.2298/gensr1702425y
Subject(s) - flesh , cucurbita , biology , yield (engineering) , horticulture , selection (genetic algorithm) , regression analysis , botany , mathematics , statistics , materials science , artificial intelligence , computer science , metallurgy
Yadegari M. and M. H. Ansari (2017): Study of multivariate analysis of quantitative traits in Iranian pumpkin lines.-Genetika, Vol 49, No.2, 425-433. In this study, seed yield production and its different components fruit length, fruit diameter, fruit length/fruit diameter ratio (FL/FD), diameter of flesh, diameter of seed core, fruit weight, weight of 1000 seed from 24 lines of pumpkin grown in Iran was examined. Twenty-five characters in all plant lines were measured by Descriptor (UPOV) and data were subjected to cluster analysis. Results showed that plants lines were divided in four groups. In all groups, regression comparisons were made for modeling the effect of different characters on seed yield, results also showed that fruit weight and fruit length in all groups had the most direct effect on seed yield. In conclusion, these traits are suggested as the best indirect selection criteria to improve the seed yield genetically in Cucurbita spp. genotypes especially in preliminary generation of breeding and selection programs.

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