Path Analysis and Relationship Among Quantitative Traits in Chickpea ( Cicer arietinum L.)

2003 ◽  
Vol 6 (6) ◽  
pp. 551-555 ◽  
Author(s):  
Falak Noor ◽  
Muhammad Ashraf . ◽  
Abdul Ghafoor .
Author(s):  
Qurban Ali ◽  
Muhammad Ahsan ◽  
Nazar Khan ◽  
Fawad Ali ◽  
Mehboob Elahi

Author(s):  
Jakkam Mahipal Reddy ◽  
Gabrial M. Lal ◽  
Velugoti Priyanka Reddy ◽  
Subhadra Pattanayak ◽  
V. Rohith Guptha ◽  
...  

A trail was conducted during rabi 2020 to study genetic diversity among 36 favorable genotypes of chickpea (Cicer arietinum L.) with help of Mahalanobis D2 statistics. On the basis of D2 values, 36 genotypes were arranged into 5 clusters. The intra cluster distances were lower than inter-cluster distances, specifying that genotypes comprised within a cluster shows tendency to vary less apart from each other. Out of thirteen characteristics considered, secondary branches per plant, number of pods per plant, seed yield per plant, harvest index and plant height, contributed very much in relation to genetic divergence. Wide range of variability was noticed for quantitative traits. This suggested that the selection based on these characteristics would be valuable in improving the grain yield. Therefore, a direct selection based on seed yield and component traits may be practiced to choose superior genotypes which could be utilized in breeding program for the development of high yielding chickpea genotypes.


2019 ◽  
Vol 32 (2) ◽  
pp. 167-180 ◽  
Author(s):  
Lalji N. Gediya ◽  
Dipak A. Patel ◽  
Sushil Kumar ◽  
Deep Kumar ◽  
Dinesh J. Parmar ◽  
...  

Author(s):  
Subhadra Pattanayak ◽  
Gabrial M. Lal ◽  
Velugoti Priyanka ◽  
Avneeshmani Tripathi

A set of twenty one chickpea genotypes were grown and asses to know the amount of genetic variability, genetic association seed yield and thirteen quantitative traits, direct and indirect effect of yield contributing characters on seed yield. Correlation coefficient analysis revealed that seed yield per plant exhibited positive and significant association with 50% pod setting and plant height at genotypic and phenotypic levels. Correlation coefficient analysis revealed that seed yield per plant exhibited positive and significant association with 50% pod setting and plant height at genotypic and phenotypic levels. Path analysis revealed that characters such as plant height, number of primary branches, number of seeds per pod, hundred seed weight, biological yield and harvest index have positive direct effect on seed yield per plant at genotypic level.


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