GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN YIELD AND YIELD COMPONENTS IN CHICKPEA (Cicer arietinum L.) GENOTYPES UNDER LATE SOWN CONDITION

AKANKSHA TIWARI¹*, ANITA BABBAR², NAMITA PAL^3
1Department of Plant Breeding and Genetics, Jawaharlal Nehru Agriculture University, Jabalpur 482004, Madhya Pradesh, India
²Department of Plant Breeding and Genetics, Jawaharlal Nehru Agriculture University, Jabalpur 482004, Madhya Pradesh, India
³Department of Plant Breeding and Genetics, Jawaharlal Nehru Agriculture University, Jabalpur 482004, Madhya Pradesh, India
* Corresponding Author : twri.akanksha@gmail.com

Received : 30-08-2016     Accepted : 22-10-2016     Published : 06-11-2016
Volume : 8     Issue : 54       Pages : 2884 - 2886
Int J Agr Sci 8.54 (2016):2884-2886

Keywords : Chick pea, Genetic Variability, Correlation, Path Analysis
Academic Editor : Dr Jasmine M Shah
Conflict of Interest : None declared
Acknowledgements/Funding : None declared
Author Contribution : None declared

Thirty eight chickpea varieties were studied to find out genetic variability, genetic association and path coefficient analysis for grain yield and its attributing characters. Both genotypic and phenotypic variances were highly significant for all the traits with little higher phenotypic coefficient of variation. The low differences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. High heritability coupled with high genetic advance were obtained with harvest index, seeds per pod, total number of pods per plant, seed yield per plant, days to maturity. Genotypic correlation coefficients were higher than the corresponding phenotypic correlation coefficients in most of the traits. Harvest index, 100-seed weight, seeds per pod, number of effective pods per plant, total number of pods per plant, number of primary branches per plant per plant and plant height were the most important characters, which possessed positive association with seed yield per plant. Path coefficient analysis revealed that among the different yield contributing characters harvest index, 100-seed weight, seeds per pod, total number of pods per plant, number of secondary branches per plant, plant height, days to maturity and days to 50% flowering influenced seed yield per plant directly. Thus, selection for yield in chickpea through these characters would be effective.