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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 |
Path coefficient analysis with correlation coefficient for yield and its element were conducted at analysis Farm Department of Genetics & Plant Breeding, Narendra Deva University of Agriculture and Technology, Faizabad (U.P.) throughout Rabi, 2011-12, on sixty four genotypes with four checks varieties (Vardan, Ashirwad, Kranti, and Maya) in Augmented Block Design. Information obtained by this method helps in direct and indirect selection for genetic improvement of yield. Results revealed that the seed yield plant-1 showed extremely vital and positive correlational statistics with length of main flower cluster, secondary branches plant-1, primary branches plant-1, plant height and siliquae on main flower cluster whereas non-significant positive correlation with remaining characters. Path analysis disclosed that characters viz., seed yield exhibited the highest positive direct impact on length of main flower cluster followed by primary branches plant-1, secondary branches plant-1and plant height. Considering each, the correlation co-efficients and path co-efficients along, length of main flower cluster, number of primary & secondary branches plant-1 and plant height emerged as vital elements of seed yield which should be given due importance during indirect selection criteria.
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