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Vol. 11, Issue 4 (2022)

Genetic variability, correlation, path coefficient analysis on root nodulation and seed yield characters in chickpea (Cicer arietinum L.)

Author(s):
P Neethu Pravallika and Dr. GR Lavanya
Abstract:
Chickpeas are an important legume crop that is commonly grown in the semi-arid tropics. It is one of the most important pulse crops in India. Variability is more significant when starting a breeding programme for yield and yield contributing features. During Rabi 2019-20, the experiment was carried out in the Field Experimentation Center of the Department of Genetics & Plant Breeding, SHUATS, Prayagraj. With a total of 23 genotypes and a check, they were evaluated in a Randomized Complete Block Design (RCBD). For each plant, C- 205 produced a high amount of seeds. The number of pods per plant, root dry weight, and nodule dry weight had high GCV and PCV, whereas the number of seeds per plant, seed production per plant, and nodule fresh weight had moderate GCV and PCV. Additive gene action, with equal contributions from additive and non-additive gene activity, is thought to regulate traits with a high heritability and a high genetic progress as a percentage of the mean. According to correlation coefficient analysis, there was a positive significant phenotypic and genotypic link between seed yield per plant and harvest index (0.84** and 0.87**), biomass (0.52** and 0.50**), and number of seeds per pod (0.36** and 0.34**). According to the path analysis results, harvest index, biological yield, shoot fresh weight, number of seeds per pod, number of pods per plant, and seed index all had a positive and direct effect on seed yield.
Pages: 602-606  |  283 Views  78 Downloads


The Pharma Innovation Journal
How to cite this article:
P Neethu Pravallika, Dr. GR Lavanya. Genetic variability, correlation, path coefficient analysis on root nodulation and seed yield characters in chickpea (Cicer arietinum L.). Pharma Innovation 2022;11(4):602-606.

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