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Variability and Character Association for Yield and Quantitative Traits under Late Sown Conditions in Chickpea (Cicer arietinum L.)
First Online 17-12-2020|
Methods: A total of 40 genotypes of chickpea were undertaken for present study and these genotypes evaluated in randomized block design (RBD) with three replications at Rajasthan Agricultural Research Institute (SKNAU), Jaipur Rajasthan, India under late sown conditions during rabi 2019-20. The experimental unit was four row plots of 4 m long and spacing between row to row was kept to 30 cm and plant to plant was 10 cm. The genetic parameters viz., mean GCV, PCV, broad sense heritability, genetic advance (GA), correlation coefficient and path analysis were estimated.
Result: Genotypes revealed significant wide genetic variation for almost all the quantitative traits. Number of pods plant-1 exhibited highest PCV and GCV. The highest broad sense heritability (h2b) was recorded for days to maturity followed by days to 50% flowering and 100-seed weight. The 100-seed weight, number of pods plant-1, number of seeds pod-1 and primary branches plant-1 had positive genotypic correlation with grain yield. Path coefficient analysis depicted that among the 9 causal (independent) traits; number of seeds pod-1, number of pods plant-1, number of primary branches plant-1, plant height from ground to first pod (cm) and days to 50% flowering had positive and directly influence on grain yield. Therefore these traits can be taken into consideration while exercising selection for grain yield in chickpea.
MATERIALS AND METHODS
RESULTS AND DISCUSSION
The genotypic and phenotypic correlation coefficients worked out among different characters revealed that in general the genotypic correlation coefficient were similar to phenotypic correlation coefficient (Table 3). In some cases the genotypic correlation was slightly higher than the phenotypic correlation coefficients, which may be a result of modifying effect of environments on the association of the characters. The grain yield showed significant positive correlation with 100-seed weight and number of pods plant-1. In addition, its association with number of seeds pod-1 and primary branches plant-1 was positive but non-significant both at genotypic and phenotypic levels. The 100-seed weight had positive and significant correlation with days to 50% flowering, plant height, plant height from ground to first pod, number of primary branches plant-1, number of pods plant-1. The number of seeds pod-1 showed significant positive correlation with days to maturity, plant height, plant height from ground to first pod and number of pods plant-1. The days to 50 % flowering showed significant positive correlation with days to maturity, plant height, plant height from ground to first pod, number of pods plant-1 and number of seed pod-1. The associations of grain yield with other quantitative traits observed in the present study have also been reported in chickpea by earlier researchers (Meena and Kumar 2012; Jha et al., 2012; Gul et al., 2013; Paneliya et al., 2017). Present results indicating that these traits had good association with seed yield in chickpea and therefore, was important trait for bringing genetic improvement in seed yield. Johanson et al., (1955) emphasized that these correlated yield attributes can serve as indicator characters for improving grain yield. Breeders can also concentrate their attention either on number of branches plant-1 or number of pods plant-1 to achieve higher seed yield while selection of individual plant in segregating materials of chickpea. Vaghela et al., (2009) and Meena and Kumar (2012) also reported the similar results for fixed homozygous material. Correlation co-efficient indicates only the general associations between any two traits without tracing any possible causes of such associations. In such situations, the path coefficient analysis at phenotypic level is done to partition the correlation coefficients in to direct and indirect effects (Table 4). Grain yield was taken as dependent variable while computing the path coefficient. The path coefficient analysis revealed that the characters like 100-seed weight (0.45306) followed by number of seeds pod-1 (0.43550), number of pods plant-1 (0.19731) and number of primary branches plant-1 (0.10108) which had positive significant association with grain yield also exerted positive and high direct effects on grain yield (Table 4). The positive and high direct effects of 100-seed weight, number of seeds pod-1, number of pods plant-1 and number of primary branches plant-1 on grain yield was also observed by earlier workers in chickpea (Thakur and Sirohi 2009; Shafique et al., 2016; Mohammed and Fikre 2018). This confirms the role of these traits in determining the grain yield and therefore, their values in constructing the selection criterion.
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