Journal of Pharmacognosy and Phytochemistry
Vol. 6, Issue 1 (2017)
Correlation and genetic diversity of linseed (Linum usitatissimum L.) genotypes based on principal component analysis in Mid-Hills of North-West Himalayas
Satish Paul, Nimit Kumar and Pankaj Chopra
Sixteen linseed genotypes were subjected to study the correlation and genetic diversity at the Experimental Farm of the Department of Crop Improvement, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, during rabi 2015-2016. Correlation coefficient revealed that seed yield had maximum genotypic and phenotypic correlation with plant height, capsules per plant and seeds per capsule so direct selection of plants based on these three would be effective to increase seed yield. Path analysis showed that plant height had maximum direct effect on seed yield per plant followed by seeds per capsule and capsules per plant at both genotypic and phenotypic levels. Principal component analysis (PCA) indicated that five components (PC1 to PC3) accounted for about 72% of the total variation among traits in linseed genotypes. Out of total principal components retained PC1, PC2 and PC3 with values of 39.7%, 18.5% and 13.9% respectively contributed more to the total variation. The first principal component had positive loading for 7 traits out of 8 viz. days to 50% flowering, days to 75% maturity, primary branches per plant, secondary branches per plant, capsules per plant, seeds per capsule and seed yield per plant which contributed more to the diversity. The result of present study could be exploited in planning and execution of future breeding programme in linseed.
Pages: 287-290 | 1296 Views 135 Downloads
Satish Paul, Nimit Kumar and Pankaj Chopra. Correlation and genetic diversity of linseed (Linum usitatissimum L.) genotypes based on principal component analysis in Mid-Hills of North-West Himalayas. J Pharmacogn Phytochem 2017;6(1):287-290.