Chief EditorJ. S. Sandhu
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Online ISSN 0976-0571
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Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition
First Online 09-11-2020|
Methods: The current study has been carried out at the experimental farm of the University of Calcutta during 2016-2017 in a plot designed with the randomized block design. It was carried out to estimate the magnitude of genetic variability, heritability and genetic advance of fifty-four lentil germplasms.
Result: Moderate to high heritability, GCV, PCV, GA and GA % of mean was obtained by days to 1st flowering, days to 50% flowering, pods per plant and harvest index. The genotypic and phenotypic association of seed yield was significantly positive with traits like plant height, pods/plant, 100 seed weight and harvest index. Characters like days to 50% flowering, plant height, primary branches per plant, pods/plant, pod length, 100 seed weight and harvest index shows a positive direct effect on seed yield in path analysis suggesting select for such traits while exercising selection for seed yield per plant in lentil.
The lentil or Daal or Masoor dal (Lens culinaris Medik) is a bushy annual plant of the legume family, grown for its lens-shaped seeds. With 26% protein, lentils have the third-highest level of protein from any plant-based food after soybeans and hemp and are an essential part of the diet around the world, especially in the Indian subcontinent which has large vegetarian populations. In India, lentil is being grown in 1.56 M ha area with production 1.06 M t and productivity 678 kg/ha. Uttar Pradesh, Madhya Pradesh, Jharkhand, Bihar and West Bengal are the major lentil growing states in India (Pandey et al., 2014).
MATERIALS AND METHODS
RESULTS AND DISCUSSION
Among the ten characters, five of them showed significant variation (Table 1). In GCV, PCV and GA the value <10 = Low, 10-20= Moderate and >20 = High in nature. In case of heritability the value >60 = High, 30-59= Moderate and <30= Low (Johnson et al., 1955). According to this scale, the following data were represented.
Traits like pods/plant, 100 seed weight, Harvest index andseed yield/plant showed very high GCV wile pod length shows low GCV and other character shows moderate GCV. High PCV was exhibited by traits like pods/plant, 100 seed weight, Harvest index andseed yield/plant, whereas other character shows moderate PCV (Table 2).
Similarly, very high heritability % was exhibited by traits like 1st flowering, 50% flowering, plant height, pods/plant, seeds/pod and 100 seed weight. On the other hand, moderate heritability % was found in traits like branches/plant, pod length, harvest index and seed yield/plant. Very high GA was found in traits like pods/ plant while moderate GA was exhibited by 1st flowering and 50% flowering and all other character shows low GA. Traits like pods/plant, seed/pod, 100 seed weight, harvest index and seed yield showed very high GA% of meanwhile characteristics like pod length showed meagre GA% of mean (Table 2).
Hence from the above study, it can thus be observed that traits like pods/plant, seed yield, 100 seed weight and harvest index showed very high GCV and PCV values. The traits like pods/plant, harvest index and seed yield per plant have a massive difference between its GCV and PCV; thus, it means high environmental factors take place in those characters.
Similar findings for variability were reported by (Reddy et al., 2016) for 50% flowering, (Pandey et al., 2015) for no of pods per plant, seed yield per plant and 100 seed weight, (Gautam et al., 2014) for days to 50% flowering, days to maturity, pods per plant and seed yield per plant, (Singh et al., 2012) for seed yield per plant, 100 seed weight, number of pods per plant, biological yield and harvest index, (Dugassa et al., 2014) for number of pods per plant, (Kanouni 2016) for Seed yield, number of seed per pod and 100 seed weight, (Choudhary et al., 2016) for plant height.
Correlation coefficient analysis
As displayed in (Table 3), it has been observed that seed yield/plant is negatively correlated with 1st flowering and 50% flowering. While significant and positive correlation with seed yield/plant was attained by plant height, pods/plant, pod length, 100 seed weight and harvest index and positive correlation with seed yield/plant is observed in branches/plant and seeds/pod. Significant correlation with grain yield also attained by Reddy et al., (2017), Omer et al., (2016), Choudhury et al., (2016), Kumar and Srivastava (2015), Mekonnen et al., (2014), Jahani et al., (2014).
In phenotypic correlation (Table 4) like genotypic correlation, 1st flowering and 50% flowering shows a negative correlation with seed yield/plant. Characters like branches/plant, pod length and seeds per pod show a positive correlation with seed yield/plant, while the significant positive correlation with seed yield/plant was attained by plant height, pods/plant, 100 seed weight and harvest index. Similar findings were reported by Tadesse et al., (2014), Kumar and Solanki (2014), Jeberson et al., (2015).
In Table 5, the traits like 1st flowering, 50% flowering, plant height, branches/plant, seeds/pod, 100 seed weight show a positive correlation with seed yield/plant while a significant positive correlation with seed yield/plant was attained by characters like pods/plant and harvest index. A negative correlation with seed yield/plant was observed by pod length. Significant correlation with other characters like 1st flowering with 50% flowering and plant height with pods/plant also observed. Same things were previously reported by Omer et al., 2016, Choudhury et al., 2016, Pandey et al., 2015, Kumar and Srivastava 2015.
By studying the genotypic, phenotypic and environmental correlation it has been observed that in all the case pods/plant and harvest index were a significantly positive correlation with seed yield, hence the above study those traits can be chosen for the selection of desired genotypes. In the case of genotypic and phenotypic correlation, the traits like plant height and 100 seed weight have a significant positive correlation with seed yield; thus, those characters are idle to select desired genotypes.
Path coefficient analysis
The residual effect is 0.268 (Table 6) suggests that it is in the range of moderate, which indicates that some more characters contribute to grain yield that needs to be studied.
The data revealed (Table 6) that 50% flowering (0.038), plant height (0.243), branches/plant (0.163), pods/plant (0.342), pod length (0.279), 100 seed weight (0.096) and harvest index (0.531) have positive direct effect on seed yield per plant which indicates that they are the main contributors to yield. 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.
SUMMARY AND CONCLUSION
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