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Vol. 12, Issue 9 (2023)

Correlation and path analysis of promising faba bean genotypes

Author(s):
Sourav Ranjan Nanda, Jaylal Mahto, Shreya Singh, Usharani Sahoo, Sambita Bhattacharyya and Satya Pragyan Kar
Abstract:
The investigation evaluates 35 promising faba bean genotypes for correlation and path analysis. During Rabi season 2021–2022. Genotypes were sown in a Randomized complete block design (RCBD) with three replications. The data was recorded for fifteen quantitative characters. Days to pod initiation, plant height, number of pods/plant, number of clusters/plant, number of seeds/plant, seed yield/plant, and total protein content all significantly and positively correlated with seed yield/plot. Path analysis showed that number of pods/plant, number of clusters/plant, and total protein content all had significant positive direct effects on seed yield/plot.
Pages: 1731-1733  |  190 Views  115 Downloads


The Pharma Innovation Journal
How to cite this article:
Sourav Ranjan Nanda, Jaylal Mahto, Shreya Singh, Usharani Sahoo, Sambita Bhattacharyya, Satya Pragyan Kar. Correlation and path analysis of promising faba bean genotypes. Pharma Innovation 2023;12(9):1731-1733.

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