Correlation and path coefficient analysis in the promising advance chickpea lines
Author(s):
Niyati Jain, Anita Babbar, Sarla Kumawat, Rakesh Kumar Yadav and Ruchi Asati
Abstract:
The present investigation was undertaken in the year 2018-19 during Rabi season for correlation and path coefficient analysis of yield and yield contributing traits in 30 promising chickpea advance lines under randomized completely block design with three replications. The data was recorded for days to flower initiation, days to 50% flowering, days to pod initiation and days to maturity, plant height, stem height at first fruiting node, number of primary branches per plant, number of secondary branches per plant, total number of pods per plant, number of effective pods per plant, number of seeds per pod, 100 seed weight, biological yield per plant, harvest index and seed yield per plant. Seed yield per plant shared highly significant and positive association with biological yield, total number of pods per plant, number of effective pods per plant, number of seeds per pod, plant height , days to flowering and days to 50% flowering, while seed yield per plant shared significant and negative association with harvest index. These are yield attributing traits selection of one can increase the other one, consider these traits for constricting plant type for high yield. Path analysis revealed that days to flower initiation, days to 50% flowering, number of primary branches per plant, biological yield, number of seeds per pod, harvest index and plant height exerted maximum positive direct effect on seed yield per plant. Hence, for enhancement of yield these traits can be selected directly.
How to cite this article:
Niyati Jain, Anita Babbar, Sarla Kumawat, Rakesh Kumar Yadav, Ruchi Asati. Correlation and path coefficient analysis in the promising advance chickpea lines. Pharma Innovation 2022;11(5):2124-2128.