Journal ID : AMA-04-02-2022-11086
[This article belongs to Volume - 53, Issue - 02]
Total View : 435

Title : Assessment of Principal Component Analysis and Genetic diversity among linseed (Linum usitatissimum L.) germplasm under Humid South Eastern plain of Rajasthan

Abstract :

The present investigation was carried out to assess PCA and genetic diversity in linseed germplasm during Rabi 2019-20 at Agricultural Research Station, Ummedganj, Kota, Rajasthan to determine level of variability among twenty nine rice genotypes in randomised block design using principal component analysis. First three principal components exhibited more than one Eigen values and accounted for 74.02% percent of total variation. PC1 accounted 42.79% of the total variability contributed by the traits like number of capsule per plant, seed per capsule, thousand grain weight and branches per plant whereas PC2 account 17.60% of the total variation that was contributed by the traits viz. number of capsule per plant, seed per capsule, plant stand, plant height and days to 50% flowering. PC3 had the contribution from the characters like plant height and 1000-grain weight. Thus, the results revealed vast genetic variation and the traits contributing for the variation in linseed genotypes which can be used for various breeding programmes for improvement in yield and quality. Cluster I consisted of 11 cultivars showed maximum mean grain yield. Cluster I had genotypes having higher mean values for characters like seed yield, thousand weight and also desirable for early flowering trait. Cluster VI had the highest mean values yield contributing traits like branches per plant, seed per capsule and capsule per pod that had significant positive correlation with grain yield. Cultivars having favourable characteristics from these clusters could be employed as prospective donors in a future hybridization programme to generate high yielders.

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