Author: Charupriya Chauhan, S.K. Verma*, R.K. Panwar, Amit Gaur, Ashish Gautam, Aparna, Harsh Deep, Harikant Yadav, Anandi Karn, Charu Bisht and Archi Gupta
Seed yield in pigeonpea is a complex and highly variable trait, controlled by several genes. The study of genetic association of the yield with other morphological characters may help to devise improved selection indices for yield improvement. Correlation coupled with path-coefficient analysis is a powerful tool to examine the character associations and their final effect on yield. The present study was undertaken with 75 pigeonpea genotypes using augmented randomized complete block design to ascertain the associations among yield and component characters and their effects by path analysis in pigeonpea during Kharif, 2020. Character association studies revealed that the number of pods per plant (NPP), 100 seed weight (HSW), and the number of seeds per pod (NSP) were strongly and positively associated with seed yield (Yield). Path coefficient analysis revealed that the number of pods per plant (NPP) had a high positive direct effect on seed yield (Yield), and therefore the number of pod
Pigeonpea, Correlation coefficient, Path coefficient, Morphological characters.
A pursual of the above results revealed that Yield was significantly and positively correlated with the important yield components viz., NPP, HSW, NSP, and PH (cm) which indicated that an improvement in these characters will bring an improvement in the seed yield. Path coefficient analysis revealed that NPP contributed maximum towards the seed yield. Therefore, to devise a suitable selection criterion for yield enhancement in future pigeonpea breeding programmes these traits must be prioritized.
-
Chauhan, C., Verma, S.K., Panwar, R.K., Gaur, A., Gautam, A., Aparna, Deep, H., Yadav, H., Karn, A., Bisht, C., and Gupta, A. (2021). Character Association and Path Coefficient Analysis for Yield and its Contributing Traits in Pigeonpea [Cajanus cajan (L.