Genetic variability, heritability relationships and stability analysis in chickpea (Cicer arietinum L.).

Singh, A.K. and Sharma, M.M. and Sharma, A.K. (2012) Genetic variability, heritability relationships and stability analysis in chickpea (Cicer arietinum L.). Environment and Ecology, 30 (3B). pp. 988-994.

[img] PDF - Published Version
Restricted to ICRISAT researchers only


A study was conducted during rabi seasons of 2007-08 and 2008-09 to investigate the variability in the germplasm and identify the stable genotypes of chickpea (Cicer arietinum L.) for grain yield under diverse environments. Twenty six genotypes were evaluated over four environments under irrigated and rainfed ecologies for their yield performance. Data on ten yield and yield attributing traits (days to flowering, days to maturity, plant height, branches/plant, pods/plant, seeds/pod, 100-seed weight, biological yield, seed yield/plant and harvest index) were recorded. High estimates of heritability and low differences between PCV and GCV values for 100-seed weight, number of pods per plant, number of branches per plant, plant height and seed yield indicated better chances of improvement through selection. Characters such as pods/plant and number of seeds/pod exhibited high GCV, heritability together with high genetic advance indicating the predominance of additive gene action in controlling these traits. Highly significant variance components due to genotypes, environments and G × E interactions indicated variability in genotypes and environments; and differential performance of genotypes across environments. Significance of liner components suggested that variation in the performance of different cultivars could be predicted. Three genotypes viz. Pusa-1103, BG-2072 and BG-2071 under irrigated environment and three genotypes viz. BG-5049, Pusa-256 and BG-2069 under moisture stress environment were found stable for seed yield/plant. However, four genotypes viz. BG-5049, BG-2069, BG-5029 and Pusa 256 showed stable performance across environments for seed yield.

Item Type: Article
Author Affiliation: S. K. University of Agricultural Sciences & Technology-Jammu, Regional Agricultural Research Station, Rajouri 185 131, J & K, India.
Subjects: Statistics and Experimentation > Experimentation
Crop Improvement
Divisions: Chickpea
Depositing User: Mr. SanatKumar Behera
Date Deposited: 13 Oct 2012 10:52
Last Modified: 13 Oct 2012 10:52

Actions (login required)

View Item View Item