The variability of a biological population is a result of the genetic make – up of the people on this population in relation to their respective environments. To start an efficient breeding program it is completely needed to guage genetic variability with parameters corresponding to genotypic coefficient of variation, heritability estimates and genetic advance. All efforts to enhance yield in chickpea and their financial return are actually aimed toward the genetic variability manipulation.Sreelakshmi et al. 2010. studied 40 genotypes of chickpea and concluded that days to maturity, quantity of pods per plant and seed yield exhibited excessive GCV and PCV.
Kuldeep et al. 2014. experimented on 100 advance breeding traces of chickpea and noticed excessive GCV and PCV for seed yield per plant, 100- seed weight, harvest index, quantity of efficient pods per plant, whole quantity of pods per plant and quantity of secondary branches. Desai et al. 2015 carried out eperiment on 48 chickpea genotypes and noticed that 100 sed weight adopted by methionine content material, quantity of pods per plant, seed yield per plant and quantity of seeds per pod exhibited highest GCV values.
Jha et al. 2015. investigated 62 chickpea genotypes and reported that highest PCV and GCV was noticed in membrane stability. Reddy et al. 2017. studied the population of F2 era of cross BG-212 x ICCV-07305 of chickpea and located that the estimates of PCV and GCV had been excessive for the characters pods per plant, branches per plant, seed yield per plant, 100 ” seed weight and days to flowering.Hasan and Deb. 2017. carried out experiment utilizing eight genotypes of chickpea and located that quantity of pods per plant exhibited highest phenotypic variation adopted by quantity of seeds per plant and plant weight at harvest. It was additionally noticed that quantity of seeds per plant confirmed highest GCV, whereas excessive PCV was noticed in quantity of pods per plant.Dev et al. 2017. studied 60 genotypes of chickpea and reported that the characters harvest index, plant peak, 100 seed weight and quantity of seeds per pods, seed yield per plant, secondary branches per plant and first branches per plant confirmed excessive to reasonable GCV and PCV. Singh et al. 2018. examined sixteen chickpea genotypes and reported excessive genotypic coefficient of variation for seed yield per plant adopted by harvest index, quantity of pods per plant, 100 seed weight and plant peak. Kumar et al. 2018. carried out experiment utilizing 65 traces of chickpea and concluded that GCV and PCV had been excessive for the following traits grain yield per plot, biologiacal yield, efficient pods per plant,100- seed weight and first branches per plant.Joshi et al. 2018. studied 252 intra-specific recombinant inbred traces of chickpea and noticed excessive GCV for biological yield, seed yield, harvest index and 100-seed weight. Kishor et al. 2018. used 40 chickpea genotypes for his experiment and concluded that top GCV and PCV had been seen in quantity of pods per plant adopted by biological yield per plant, quantity of seeds per plant, seed yield per plant, quantity of major branches par plant, 100-seed weight. Avinalappa and Raghunath. 2018. studied 22 desi chickpea genotypes and reported that quantity of seeds per pod, 100-seed weight and seed yield per plant confirmed most genotypic coefficient of variation and phenotypic coefficient of variation, the place as minimal PCV and GCV was recorded for quantity of major branches per plant.Arora et al. 2018. studied 50 genotypes of kabuli chickpea and noticed that most variability was current in quantity of pods per plant whereas, minimal was noticed in quantity of days to maturity.additional reported thathigh GCV and PCV had been present in quantity of days to flowering adopted by quantity of days to maturity and 100 seed weight.Barad et al. 2018. performed experiment on 50 various genotypes of kabuli chickpea which reveled that quantity of major branches per plant exhibited excessive PCV and GCV adopted by seed yield per plant and 100 seed weight.Mohammed et al. 2019. experimented utilizing 202 landraces of chickpeqa and noticed that days to maturity confirmed low PCV and GCV, whereas grain yield per plant confirmed excessive values of GCV and PCV.Gediya et al. 2019. carried out experiment utilizing 58 genotypes of chickpea and concluded that top PCV and GCV had been noticed for secondary branches per plant, pods per plant, seeds per pod, seeds per plant, hundred seed weight, seed yield per plant and harvest index. HERITABILITY AND GENETIC ADVANCEThe ratio of genotype variance to finish variance (phenotypical variance) is the heritability in broad sense. It is calculated from whole genetic variance which consists of additive, dominance and epistatic variances. The assessments of broad sense heritability Help to pick out elite genotypes from homozygenous populations. The genetic advance is generally known as enchancment in the imply genotypic worth of chosen crops over the parental population. It is the choice measure of the genetic achieve. It contributes to understanding the sort of gene motion in the expression of totally different polygenic traits and to the dedication of genetic motion for genetic enchancment of varied polygenic traits.Sreelakshmi et al. 2010. experimented on 40 chickpea genotypes and reported that seed yield, quantity of pods per plant and quantity of fruiting branches per plant confirmed excessive heritability with excessive genetic advance.Kuldeep et al. 2014. experimented on 100 advance breeding traces of chickpea and reported excessive heritability and excessive genetic advance as share of imply for seed yield per plant following 100 – seed weight, harvest index, quantity of efficient pods per plant and whole quantity of pods per plant. Desai et al. 2015 carried out eperiment on 48 chickpea genotypes and reported that methionine content material together with 100 seed weight, quantity of pods per plant and days to flowering had excessive heritability coupled with excessive genetic advance.Jha et al. 2015. noticed that membrane stability exhibited highest heritability adopted by pods per palnt and days to maturity.Reddy et al. 2017. performed experiment on the population of F2 era of cross BG-212 x ICCV-07305 of chickpea and reported that the excessive broad senseheritability was seen in pods per plant adopted by days to flowering, 100 ” seed weight, seed yield per plant,plant peak and branches per plant, whereas the characters plant peak, seed yield per plant,pods per plant, branches per plant. 100 seed weight and days to flowering confirmed excessive genetic advance as share of imply.Singh et al. 2018. examined sixteen chickpea genotypes and noticed excessive heritability for 100 seed weight, plant peak, days to maturity, quantity of pods per plant, biological yield per plant, harvest index, seed yield per plant and days to 50 per cent flowering. Excessive genetic advance as share of imply was noticed for seed yield per plant, harvest index, 100 seed weight, quantity of pods per plant and biological yield per plant. Kumar et al. 2018. carried out experiment utilizing 65 traces of chickpea and concluded that plant peak, quantity of major branches per plant, quantity of secondary branches per plant, whole quantity of pods per plant, efficient pods per plant, biological yield, 100 ” seed weight, grain yield per plant and grain yield per plot confirmed excessive heritability coupled with excessive genetic advance.Joshi et al.2018. reported that biological yield, seed yield, harvest index and 100-seed weight exhibited excessive heritability coupled with excessive genetic advance.Kishor et al. 2018. concluded that top heritability coupled with excessive genetic advance as share of imply had been noticed for quantity of pods per plant, biological yield per plant, quantity of seeds per plant, seed yield per plant and quantity of major branches per plant.Shengu et al. 2018. noticed excessive heritability for seed yield per hectare, days to maturity, seed yield, yield per plot, 100 – seed weight, quantity of pod size, plant peak, quantity of major department per plant, days to emergence and days to flowering, the place as low heritability was noticed for quantity of secondary department per plant, quantity seed per pod and of pod per plant. Barad et al. 2018. carried out experiment utilizing 50 kabuli genotypes of chickpea and reported that top heritability together with excessive genetic advance was present in traits quantity of major branches per plant adopted by quantity of secondary branches per plant, plant peak, reproductive section period, days to 50% flowering, quantity of pods per plant seed yield per plant and 100 seed weight.Mohammed et al. 2019. concluded that grain yield, quantity of pods per plant and biomass yield confirmed excessive heritability and genetic advance as % of imply.CORRELATION COEFFICIENT ANALYSISCorrelation coefficient is a statistical measure to find out the diploma of relation and the path of two or extra variables. A constructive correlation worth demonstrates that the two variables change in the similar path, whereas two variables transfer in the other way in the detrimental correlations. It measures the mutual relationship between totally different plant traits and determines the choice element traits on which the genetic yield enchancment will be primarily based. The out there literature on chickpea’s correlation Assessment are reviewed as follows:Sreelakshmi et al. 2010. performed experiment on 40 genotypes of chickpea and revealed that constructive and vital correlation with seed yield per plant was exhibited by days to 50% flowering, days to maturity, quantity of fruiting branches per plant and quantity of pods per plant. Pandey et al. 2013. reported that grain yield per plant was positively and considerably correlated with days to flowering, plant peak, quantity of branches per plant, quantity of pods per plant and 100 seed weight. Kuldeep et al. 2014. concluded that plant peak, quantity of major branches, quantity of secondary branches, quantity of pods per plant, quantity of efficient pods per plant and 100-seed weight had been positively and considerably correlated to seed yield per plant. Bala et al. 2015. experimented on twenty 5 chickpea genotypes and reported that pods per plant, harvest index, biological yield per plant and first branches per plant confirmed vital and constructive correlations with seed yield per plant at phenotypic degree.Johnson et al. 2015. carried out analysis utilizing 112 chickpea genotypes and concluded that constructive correlations with seed yield per plant had been exhibited by biological yield per plant and harvest index.Jha et al. 2015. reported that top constructive correlation was current between days to maturity and membrane stability whereas constructive correlations had been current between days to 50% flowering and plant peak, pods/plant and plant peak, pods /plant and membrane stability.Banik et al. 2017. experimented on 60 chickpea genotypes and reported that seed yield per plant was positively and considerably correlated with quantity of pods per plant, plant peak, quantity of secondary branches per plant, plant unfold, 100 seed weight, and quantity of major branches per plant whereas it was negatively correlated with 50 per cent flowering and quantity of seeds per plant.Astereki et al. 2017. revealed that the correletion between seed yield and quantity of pods per plant and harvest index had been vital and constructive.Singh et al. 2017. performed experiment utilizing 43 genotypes of chickpea which revealed that seed yield per plant exhibited extremely vital and detrimental correlation with days to 50% flowering whereas vital and constructive correlation was current between seed yield per plant and pods per plant.Agrawal et al. 2018. discovered that quantity of major branches, quantity of secondary branches, biological yield, harvest index, 100 seed weight and days to maturity had been positively and considerably related to grain yield per plant below regular sown situations, whereas below late sown situations chlorophyll index, quantity of major branches, whole quantity of pods per plant, efficient pods per plant, biological yield, harvest index and 100 seed weight had been positively and considerably related to grain yield per plant.Kumar et al. 2018. noticed that the characters biological yield per plant, 100 seed weight, harvest index and pods per plant confirmed extremely constructive vital correlations with seed yield per plant in each well timed and late sown environments. Thakur et al. 2018. noticed that seed yield per plant confirmed excessive vital constructive correlation with check weight, harvest index, whole quantity of pods per plant, quantity of secondary branches and whole quantity of seeds per plant.Shengu et al. 2018 noticed constructive and excessive vital correlation between grain yield and yield per plot, 100 – seed weights and yield per plot whereas detrimental and vital correlation was noticed between pod size and yield per plot.Singh et al. 2018. carried out experiment utilizing 16 genotypes of chickpea and located that vital and constructive correlations had been current between the characters like 100 seed weight and plant peak, quantity of secondary branches per plant and plant peak, days to heading and days to maturity, days to maturity, quantity of major branches and quantity of secondary branches per plant, seed yield, quantity of pods per plant and quantity of seeds per pod and between seed yield, biomass and harvest index.Jida and Alemu 2019. used 19 elite varieties of chickpea for his or her experiment and revealed that correlations between grain yield, biological yield, quantity of seeds per plant, quantity of pods per plant and quantity of major branches had been constructive and vital.Gediya et al. 2019. experimented on 58 genotypes of chickpea and reported that seed yield per plant exhibited vital and constructive genotypic correlaations with pods per plant (zero.728**), seeds per plant (zero.648**), 100 seed weight (zero.338**) and harvest index (zero.683**). PATH COEFFICIENT ANALYSISThe path coefficient Assessment is merely a standardized partial regression coefficient, dividing a coefficient of correlation into direct and oblique impact measurements. The trigger of the affiliation of two variables is measured by path Assessment. It is primarily based on each potential easy correlation between totally different characters. It helps to find out the yield traits and is helpful for oblique choice. The following literature on path Assessment is out there in Chickpea:Qurban et al. 2010. performed experiment utilizing 20 elite genotypes and three commonplace checks of chickpea and concluded that most direct impact on grain yield was contributed by 100 seed weight adopted by pods per plant, secondary branches per plant, seeds per pod, days taken to maturity and quantity of major branches per plant. Additionally detrimental direct impact on grain yield was contributed by quantity of days taken to flowering, plant peak and biomass per plant.Zali et al. 2011. studied 17 genotypes of chickpea and reported that quantity of days to 50% maturity (98.43%), quantity of days to 50% flowering (98.19%), plant peak (58.87%), quantity of secondary branches (45.81%), quantity of major branches (42.03%) and quantity of seeds per plant (35.42%) exhibited excessive heritability values.Kuldeep et al. 2014. revealed that most direct impact on seed yield was displayed by quantity of efficient pods per plant and 100 ” seed weight.Bala et al. 2015. experimented utilizing twenty 5 chickpea genotypes and noticed that constructive and excessive direct results on seed yield per plant had been exhibited by biological yield per plant and harvest index.Johnson et al. 2015. carried out analysis utilizing 112 chickpea genotypes and noticed that harvest index, biological yield and pods per plant had highest constructive direct impact on seed yield per plant.Banik et al. 2017. performed experiment utilizing sixty chickpea genotypes and reported that path coefficient Assessment of quantity of pods per plant had highest direct impact on seed yield per plant which was adopted by 100- seed weight, plant peak and days to maturity, whereas quantity of seeds per pod and days to 50% flowering had detrimental impact on seed yield.Dev et al.2017. performed analysis utilizing 60 chickpea genotypes and concluded that genotypic and phenotypic path coefficient Assessment of biological yield and harvest index confirmed excessive and constructive direct results on seed yield per plant. Kumar et al. 2018. noticed that path Assessment of biological yield per plant displayed extremely constructive direct results in the direction of seed yield per plant adopted by harvest index and 100- seed weight. Biological yield confirmed considerably constructive oblique impact on seed yieldvia 100- seed weight, pods per plant, plant peak, major branches per plant and days to 50% flowering.Agrawal et al. 2018. concluded that top constructive direct impact on grain yield per plant was displayed by biological yield, efficient pods per plant, harvest index, major branches per plant and secondary branches per plant.Attri et al. 2018. revealed that direct and constructive impact on sed yield per plant was confirmed by plant peak, major branches, secondary branches, pod per plant, 100 seed wt, whereas the characters like days to 50% flowering and days to maturity gave oblique results on seed yield per plant by way of plant peak and 100 ” seed weight. Singh et al. 2018. experimented utilizing 16 genotypes of chickpea and reported that direct impact on seed yield was exhibited by harvest index. Additional revealed that harvest index confirmed excessive and constructive oblique impact on seed yield by plant peak, quantity of pods per plant, quantity of seeds per pod and biomass whereas, exhibited low and detrimental oblique results by days to heading, days to maturity, 100 seed weight and quantity of major branches per plant.Gediya et al. 2019. studied 58 chickpea genotypes and concluded that vital and direct results on seed yield per plant had been exhibited by pods per plant (zero.198), seeds per plant (zero.672), harvest index (zero.170) and 100 seed weight (zero.665).