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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. 11, Issue 1 (2022)
Assessment of correlation and path analysis in chickpea (Cicer arietinum L.)
Author(s):
Tengse SM, Sarode SB, Deshmukh SS and Shinde AV
Tengse SM, Sarode SB, Deshmukh SS and Shinde AV
Abstract:
The present investigation was carried out for correlation studies and path analysis (Cicer arietinum L.). Correlation studies showed that the traits viz. harvest index, 100 seed weight, number of pods per plant and number of secondary branches per plant recorded a highly positive significant correlation with seed yield at both genotypic and phenotypic level and days to 50% flowering at genotypic level with seed yield.
The present investigation was carried out for correlation studies and path analysis (Cicer arietinum L.). Correlation studies showed that the traits viz. harvest index, 100 seed weight, number of pods per plant and number of secondary branches per plant recorded a highly positive significant correlation with seed yield at both genotypic and phenotypic level and days to 50% flowering at genotypic level with seed yield.
From path coefficient analysis it is indicated that the characters viz., 100 seed weight, harvest index, number of pods per plant, days to 50% flowering and number of secondary branches per plant showed a positive direct effect on seed yield.
Pages: 184-188 | 387 Views 132 Downloads
How to cite this article:
Tengse SM, Sarode SB, Deshmukh SS, Shinde AV. Assessment of correlation and path analysis in chickpea (Cicer arietinum L.). Pharma Innovation 2022;11(1):184-188.
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
