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Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
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Vol. 12, Issue 11 (2023)
Genetic variability, correlation studies and path analysis in chilli (Capsicum annuum L.)
Author(s):
Tarunkumar Patel and Dr. PC Chaurasiya
Tarunkumar Patel and Dr. PC Chaurasiya
Abstract:
The present experiment title “Genetic Variability, Correlation Studies and Path Analysis in Chilli (Capsicum annum L.)” was conducted at the College of Agriculture and Research Station, Mahasamund, Chhattisgarh during the Rabi season of 2022-2023. The experimental setup included twelve genotypes of Chilli, which were arranged in a Randomized Block Design with three replications.
The present experiment title “Genetic Variability, Correlation Studies and Path Analysis in Chilli (Capsicum annum L.)” was conducted at the College of Agriculture and Research Station, Mahasamund, Chhattisgarh during the Rabi season of 2022-2023. The experimental setup included twelve genotypes of Chilli, which were arranged in a Randomized Block Design with three replications.
Analysis of variance indicated that significant differences exist among the genotypes with respect to both quantitative and qualitative characters.
Correlation studies revealed that, plant height, number of fruits per plant, fruit weight per plant, fruit length, fruit girth, fresh fruit weight, total nm. of picking and fruit yield per plot had positive significant association, with yield per plant indicating the importance of these traits in selection for yield because of their direct contribution to yield.
Maximum positive direct effect was observed for fruit yield per ha. (0.515) followed by numbers of fruit per plant (0.464), fruit weight (0.428), fruit weight per plant (0.233), days to last pickings (0.353), while, negative direct effect was observed for total numbers of pickings (-0.225), fruit length (0.163).
Pages: 963-967 | 179 Views 130 Downloads
How to cite this article:
Tarunkumar Patel, Dr. PC Chaurasiya. Genetic variability, correlation studies and path analysis in chilli (Capsicum annuum L.). Pharma Innovation 2023;12(11):963-967.
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
The Pharma Innovation Journal
