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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:8, August, 2020

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.2020.9(8): 859-863
DOI: https://doi.org/10.20546/ijcmas.2020.908.093


Association Analysis for Yield and its Components in Sesame Genotypes
Rajmohan Sharma1* and Mujahida Sayyed2
1Department of Genetics and Plant Breeding, 2Department of Maths and Statistics, JNKVV, College of Agriculture, Ganjbasoda (Vidisha) M.P., India
*Corresponding author
Abstract:

In the present experiment analysis of association between various plant characters using correlation and path analysis was studied. Ten sesame genotypes in three replications were evaluated at the research farm of Agriculture College, Ganjbasoda during kharif 2018. Observations were recorded for nine characters viz. Plant height, days to 50% flowering, number of primary branches, days to maturity, length of the capsule, number of capsules /plant, number of seeds/ capsule, 1000- grain weight and seed yield/plant. Analysis of variance showed significant differences among all the genotypes for all the characters under study. Correlation studies indicated that Days to 50 % flowering, days to maturity, plant height, number of capsules per plant and 1000 seed weight with seed yield. Number of capsules per plant had the highest direct effect on seed yield per plant followed by plant height, 1000 seed weight, days to maturity and days to 50% flowering.


Keywords: Sesame, Variability, Association analysis, Correlation,Path analysis

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How to cite this article:

Rajmohan Sharma and Mujahida Sayyed. 2020. Association Analysis for Yield and its Components in Sesame Genotypes.Int.J.Curr.Microbiol.App.Sci. 9(8): 859-863. doi: https://doi.org/10.20546/ijcmas.2020.908.093
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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