The present investigation was carried out to find faster chemical methods to determine genetic purity in ten pigeon pea varieties. The faster methods are Ferrous Sulphate test, Sodium hydroxide test, peroxidase test, seedling growth response to GA 3, kinetin and 2-4D. Histogram using pixel luminance in ferrous sulphate test based on the grey scale produces values ranging from 17377 to 90616 which can be used to distinguish pigeon pea varieties. Similarly, sodium hydroxide test produced six coloured palette based on RGB values can distinguish varieties in pigeon pea. Also in peroxidase test, values for all ten pigeon pea varieties based on absorbance (0.252-2.372), peroxidase enzyme activity (0.791-7.442 IU/mg) and peroxidase enzyme volume (1.581-14.883 U/g) can be used for distinguishing varieties. Among the seedling growth response tests, in GA 3 test two varieties Asha (-2) and GC-11-39 (-6) were not responded and were recorded lowest values than the control. But remaining varieties can be distinguished as medium to high response types. Also in kinetin test two varieties not responded (GRG-811 and Asha) and all the other varieties can be distinguished based on this test. In case of 2-4D test all the varieties were recorded as susceptible. The co-efficient of variation for all the three tests based on the increase in coleoptile length over the control was ranged from 0.20 (Kinetin test) to 0.37 (GA 3 test).
The experiment was carried out to determine the character association and path analysis with 20 genotype including national check namely GT-10, TKG-22, zonal check JTS-8. The genotype was grown in (RBD) design with 3 Replication during Kharif 2020 at BTC College of Agriculture and Research station Bilaspur CG. The data were collected for nine quantitative and yield attributing traits. The correlation co-efficient analysis is the index of relationship among two variables. These have been dealing in all possible combinations for important traits at genotypic and phenotypic levels. Seed yield plant-1 was highly significant and positively correlated with plant height, followed by number of primary branches plant-1, capsules length, number of capsules plant-1, number of seed capsule-1 days to maturity at genotypic and phenotypic levels. Path analysis at phenotypic level among the characters studied, plant height (cm) had the highest direct effect (0.7479) towards seed yield per plant followed by number of primary branches plant-1 (0.5868) capsule length (0.3827) no of capsule plant-1 (0.3521) number of seed capsule-1 (0.2818) days to maturity (0.289) negative direct effect were recorded for days to 50% flowering (-0.0327) 1000 seed weight (- 02147). Demonstrating the fact that there was a real and positive connection between these characters will help determine which type of character is needed for crop improvement.
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