Correlation and Path Coefficient Analysis for Various Quantitative Traits in Desi Chickpea Genotypes under Rainfed Conditions in Ethiopia

Abstract

Chickpea is rich in protein and micronutrients and plays a significant role in human diet especially as accompaniment to staples, but grain yields in Ethiopia are still below the crop potential. Field experiments were conducted during 2007/8-2009/10 to determine relationships among yield and some yield components using correlation and path coefficient analysis in desi chickpea grown under rainfed conditions. Correlation studies revealed that seed yield was significantly and positively correlated with days to flowering, days to maturity, number of pods per plant, number of seeds per pod, stand count at harvest, plant height and biomass. The path coefficient analysis based on seed yield, as a dependent variable, revealed that biomass had the greatest direct effect on seed yield (0.0146) and followed by stand count at harvest and plant height. Both correlation and path analyses indicated that biomass, stand count at harvest and plant height were the major direct contributors to seed yield. Thus, the present study suggests that more biomass production, stand count at harvest and plant height are major yield factors in selecting high yielding desi chickpea cultivars.

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

“…Similar results were also reported by Khan et al (2013) and Tadesse et al (2016). Higher magnitude of genotypic correlation helps in selection for genetically controlled characters and gives a better response for seed yield improvement than that would be expected on the basis of phenotypic association alone (Robinson et al 1951).…”

Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition

“…These characters also produce positive effects of different magnitude when the correlations of most characteristics with seed yield. Similar direct and indirect effects were reported by Mekonnen et al, 2014, Nath et al, 2014, Singh and Srivastava 2013, Nimbalkar et al, 2017, Tadesse et al, 2016, Rajkumar et al, 2014. By studying the above statement, it can say that the traits 50% flowering, plant height, branches/plant, pods/ plant, pod length, 100 seed weight and harvest index have a positive direct effect on seed yield; thus those traits can be used for selection of desired genotypes.…”

Correlation and Path Coefficient Analysis for Grain Yield and Yield Components in Chickpea (Cicer arietinum L.) under Normal and Late Sown Conditions of Bihar, India

“…The earlier studies for direct effect on grain yield for biological yield and harvest index were reported by Babbar and Patel 2005, Kuldeep et al, 2014, Naveed et al, 2012and Tadesse et al, 2016and Kumar et al, 2017whereas, Talebi et al, (2007, found positive indirect effect on seed yield. The result of association analysis indicated for improvement of chickpea grain yield per plant by selecting for number of primary branches, number of secondary branches, biological yield and harvest index in normal sown condition while, under late sown condition chlorophyll index, number of primary branches, total number of pods per plant, effective pods per plant, biological yield, harvest index and 100-seed weight.…”