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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:1, January, 2021

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

Int.J.Curr.Microbiol.App.Sci.2021.10(1): 893-901
DOI: https://doi.org/10.20546/ijcmas.2021.1001.107


Estimation of Correlation and Path Analysis between Seed Yield and Various Quantitative Traits in Black Sesame (Sesamum indicum L.)
Ayushi Jaiswal1* and Rajani Bisen2
1Department of Genetics and Plant Breeding, 2Project Coordinating Unit (Sesame and Niger), JNKVV, Jabalpur, India
*Corresponding author
Abstract:

Seventy genotypes of sesame were studied by correlation and path coefficient analysis for single plant yield and other yield contributing components. The association between seed yield and its contributing characters indicated that the seed yield per plant had positive and significant association with number of capsules per plant, number of primary branches per plant also thousand seed weight, harvest index and number of primary branches per plant. Based on path analysis, the number of capsules per plant, days to 50% flowering, number of primary branches per plant, number of seed per capsules and harvest index showed significant positive direct effect with seed yield per plant. Therefore, the number of capsules per plant and number of primary branches per plant should be given importance in selection programmes to get high seed yield in sesame.


Keywords: Sesame, Correlation, Path coefficient, Seed yield

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How to cite this article:

Ayushi Jaiswal and Rajani Bisen. 2021. Estimation of Correlation and Path Analysis between Seed Yield and Various Quantitative Traits in Black Sesame (Sesamum indicum L.).Int.J.Curr.Microbiol.App.Sci. 10(1): 893-901. doi: https://doi.org/10.20546/ijcmas.2021.1001.107
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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