2025, Vol. 10, Special Issue 2
Correlation and path analysis in chickpea (Cicer arietinum L.) genotypes under late sown condition
Author(s): VB Bhor, DB Lad, AA Bhagat and MR Bhakare
Abstract: Pulses play a vital role
in various cropping systems across the country, with specific preferences and
suitability varying by region. They are particularly beneficial for sustainable
agriculture due to their ability to efficiently use limited soil moisture and
nutrients, while also enhancing the physical and chemical properties of the
soil. The present investigation was carried out to study the association between different characters and find out the direct
and indirect effects of various quantitative characters on seed yield in fifty genotypes of chickpea (
Cicer arietinum
L.) for eleven quantitative characters. The experiment was conducted during
Rabi,
2022-23 at Zonal Agricultural Research Station, Ganeshkhind, Pune.
The study revealed that the Seed yield per plant
had significant and positive correlation with days to 50 percent flowering,
plant height, plant spread, primary branches per plant, number of pods per
plant, number of seeds per pod and 100-seed weight. It also had non-significant
positive correlation with days to maturity, number of secondary branches per
plant and protein content. In the path analysis, highest positive direct effect
on seed yield per plant was observed through number of pods per plant (0.7100),
100-seed weight (0.5610) and number of seeds per pod (0.1512). The trait days
to maturity (0.0186), plant spread (0.0186), primary branches per plant
(0.0057), secondary branches per plant (0.0295) and protein content (0.0109)
showed positive direct effect on seed yield per plant. The direct selection to
these traits will be beneficial for yield improvement programmes.
Pages: 01-05 | Views: 69 | Downloads: 5Download Full Article: Click HereHow to cite this article:
VB Bhor, DB Lad, AA Bhagat, MR Bhakare. Correlation and path analysis in chickpea (Cicer arietinum L.) genotypes under late sown condition. Int J Stat Appl Math 2025;10(2S):01-05.
