ESTIMATION OF CORRELATION AND PATH COEFFICIENT ANALYSIS ON YIELD COMPONENTS OF BLACKGRAM (VIGNA MUNGO ( L.) HEPPER)

D. ABHILASH¹*, G.M. LAL², N. RAMESH^3
1Department of Genetics and Plant breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, 211007 India
²Department of Genetics and Plant breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, 211007 India
³Department of Genetics and Plant breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, 211007 India
* Corresponding Author : danduabhilash@gmail.com

Received : 30-06-2019     Accepted : 12-07-2019     Published : 15-07-2019
Volume : 11     Issue : 13       Pages : 8747 - 8749
Int J Agr Sci 11.13 (2019):8747-8749

Keywords : Blackgram, Correlation, Path analysis
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, Uttar Pradesh, India
Author Contribution : All authors equally contributed

The present investigation was carried out on correlation and path analysis for 13 characters of Blackgram on 29 genotypes including one check (T-9) and evaluated during kharif, 2018 in Randomized Block Design. The correlation studies exhibited highly significant and positive association for the quantitative characters with that of harvest index , biological yield, days to 50% pod setting and number of primary branches per plant. Path Coefficient analysis revealed that biological yield, harvest index, number of pods per plant. is the most important yield component character at both genotypic and phenotypic levels that can be used as selection indices for the yield improvement in black gram.

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