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PRINT ISSN : 2319-7692 Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Field experiment was conducted in 50 Chinese millet genetic resources to assess the genetic divergence for 12 metric traits through Principal Component Analysis. The ANOVA revealed existence of highly significant variation for all the traits examined. About 69.15 per cent of total variation accrued through Principal component analysis exhibited four Principal components (PC1-29.65%, PC2-16.94%, PC3-12.27% and PC4-10.27%) retained based on the Scree plot and threshold Eigen value greater than one (>1). The PC1 with prime economical traits viz., days to 50% flowering, days to maturity, culm branches, thousand grain weight, number of productive tillers / plant and flag leaf blade length accounted for maximum variance (29.65%) connoting that these traits be given priority in future Chinese millet breeding programmes.
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