GROUPING AND SELECTION OF 32 SINGLE CROSS SUNFLOWER HYBRIDS USING PRINCIPAL COMPONENT ANALYSIS

Authors : Zia ULLAH

Pages : 4-12

View : 46 | Download : 14

Publication Date : 2018-08-31

Article Type : Research Paper

Abstract :Principal components analysis is one of the multivariate statistical methods and was used to access the genetic diversity of 32 sunflower hybrids developed at the Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad during 2014-15. Eight males were crossed with 32 females to produce 32 F 1 hybrids using North Carolina Mating Design-I. Data were recorded on plant height, head diameter, percent filled achenes, 100-achene weight, achene yield per plant, harvest index, oil content, palmitic acid, stearic acid, oleic acid and linoleic acid. The first four principle components with Eigen value greater than one contributed 69.28 % of the total variability. The first principal component showed higher values for 100-achene weight insert ignore into journalissuearticles values(0.860);, achene yield per plant insert ignore into journalissuearticles values(0.903);, harvest index insert ignore into journalissuearticles values(0.777);, second had higher values for oleic acid insert ignore into journalissuearticles values(-0.780); and linoleic acid insert ignore into journalissuearticles values(0.834);, third had higher values for head diameter insert ignore into journalissuearticles values(-0.749); and percent filled achenes insert ignore into journalissuearticles values(0.782);, whereas the fourth was associated with plant height insert ignore into journalissuearticles values(0.741);. Four distinct groups can be differentiated on the basis of biplot diagram. H-1 and H-32 were the best hybrids having higher achene insert ignore into journalissuearticles values(94.63g, 91.45g);  and oil yield insert ignore into journalissuearticles values(46.24%, 44.08%); respectively.
Keywords : Genetic diversity, hybrid, principal components analysis, sunflower

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