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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

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.2017.6(10): 2273-2279
DOI: https://doi.org/10.20546/ijcmas.2017.610.269


Character Association and Path Coefficient Analysis for Qualitative and Quantitative Traits in Green Chilli Genotypes (Capsicum annuum L.)
Sujata Kumari*, R.S. Jawadagi, Revanappa, P.S. Ajjappalavara, D.A. Peerjade and A.M. Nadaf
Department of vegetable Science, Bagalkot, College of Horticulture, University of Horticultural Sciences Bagalkot, 587-104, Karnataka, India
*Corresponding author
Abstract:

15 chilli genotypes were grown under randomized block design with two replication during Kharif season, 2016-17 to study the genetic correlation and path coefficient analysis for 15 different quantitative and qualitative traits. The correlation study revealed that plant height at 90 DAT, plant height at 120 DAT, secondary branches at 90 DAT, fruit weight, stalk length and fruits per plant had significant and positive correlation at genotypic as well as phenotypic level suggesting the direct selection of these traits as less prone to environmental factors. The path coefficient analysis had direct positive via yield through number of fruits per plant, fruit weight, number of secondary branches at 90 DAT and ascorbic acid content. Selection for these traits would be more beneficial and rewarding in concentrating the economical yield.


Keywords: Chilli, Correlation coefficient, Path coefficient analysis and Yield.
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How to cite this article:

Sujata Kumari, R.S. Jawadagi, Revanappa, P.S. Ajjappalavara, D.A. Peerjade and Nadaf, A.M. 2017. Character Association and Path Coefficient Analysis for Qualitative and Quantitative Traits in Green Chilli Genotypes (Capsicum annuum L.).Int.J.Curr.Microbiol.App.Sci. 6(10): 2273-2279. doi: https://doi.org/10.20546/ijcmas.2017.610.269