IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319-1775 Online 2320-7876

Estimates on Characters Association and Path Coefficient Analysis in Garden Pea (Pisum sativum L.) Varieties in District Satna District of Madhya Pradesh

Main Article Content

Ayodhya Prasad Pandey, Abhshek Sahu, Rajbeer Singh Gaur, Brindaban Singh, Neeraj Verma

Abstract

Twenty distinct pea cultivars were planted in a Completely Randomized Block Design (CRBD) at AKS University, Satna, in the Rabi season of November 2021. Data was collected for ten quantitative traits and analyzed for variance, correlation and path coefficient analysis. The experimental setup showed significant differences in all traits due to the treatments. The analysis of variance revealed a notable amount of variability among genotypes for all the traits under study. Genotypic correlation was higher than phenotypic ones in magnitude for all the characters except correlation between plant height and days to maturity, plant height and number of pods per plant, plant height and seed yield per plant, number of pod per cluster and number of seed per pod, number of seed per pod and 100 seed weight (g). Path coefficient analysis revealed that number of pods per plant, number of pod per cluster and days to maturity had exerted maximum direct effect on seed yield at both genotypic and phenotypic levels. Plant height (cm) and 100 seed weight (g) had exhibited negative direct effect on seed yield at both genotypic and phenotypic levels. So these important characters that could be taken into consideration for selection and improvement of seed yield in pea. The residual effect was 0.3766 at genotypic level was moderate indicating that most of the characters affecting seed yield has to be include in the future study. The residual effect was 0.3026 at phenotypic level was moderate and indicating that less influence of environment on the expression of some characters affecting seed yield has to be also include in the future study. Keyword: Pea, Variance, Correlation and Path coefficient.

Article Details