Vol. 10, Issue 3 (2021)

Author(s):
Sanjay Kumar Singh, Mukesh Kumar Sharma, Shailendra Sagar Prajapati, Kumar Jai Anand, Tasphia Elahi and Pratik Kumar

Abstract:
The present study was conducted at the Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, J.N.K.V.V., Jabalpur, during Kharif 2013, to rank 110 rice germplasm lines based on principal component analysis using a randomized complete block design with three replications. Principal components analysis was performed using physiological, yield and quality components on rice germplasm. Out of twenty-five, only eleven principal components (PCs) exhibited more than 0.5 Eigen values and showed about 95.88% total variability among the characters were studied. Principal component analysis revealed that the PC1 which accounted for the highest variability (24.630%). Principle component like PC1 accounts for physiological component, PC2, PC3, PC4 and PC6 contributes yield related traits while PC5 and PC7 mostly related to quality traits. PC1 accounts mostly physiological traits like plant height, culm length, days to 50% flowering, and days to maturity. PC2 was also dominated by yield related traits i.e., number of unfilled spikelets/panicle, spikelet fertility %, grain yield/plant, harvest index and panicle index. The PC3 was dominated by yield traits i.e., number of filled spikelets/panicle, number of spikelets/panicle, spikelet density. The PC4 also dominated by yield related traits i.e., plant weight, average panicle weight, grain yield/plant and biological yield/plant. The PC5 dominated by quality traits i.e., Hulling %, milling %, and head rice recovery %. The PC6 also dominated by yield related traits i.e., number of tiller/plant, number of productive tiller/plant, and grain breadth while, PC7 was more related to quality traits likepanicle index, grain length and length breadth ratio. The findings provide valuable insights for developing high-yielding rice genotypes through targeted breeding approaches.