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Subject: Plant Breeding and Genetics × Author: Alok Kumar × End date: 2014 × Start date: 2014 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Genetic analysis of yield, component traits and rust resistance in recombinant inbred lines of lentil
    (Punjab Agricultural University, Ludhiana, 2014) Alok Kumar; Gill, Ranjit Kaur
    The present investigation was aimed to study the inheritance pattern of rust resistance, variability and association among 135 recombinant inbred lines, two parents and two checks of lentil. The parents L9-12 (susceptible) and FLIP-2004-7L (resistant) were crossed together to generate experimental material viz., F1 and segregating generations (F2 to F8). The material was developed from F3 to F8 generation following single seed descent method to develop RIL population. A set of 135 F7 and F8 RILs, both the parents and two standard checks were planted in the experimental area of Pulses Section, PAU, Ludhiana and Regional Research Station Gurdaspur during rabi 2012-13 and 2013-14. The genotypes were grown in Alpha Lattice Design with three replications. All the F1 plants gave susceptible reaction thus reflecting dominance of susceptibility to resistance. The segregation pattern of F2 generation fitted well in genetic ratio 3 susceptible: 1 resistant indicating that reaction to rust resistance was governed by single gene. In F8 generation, the segregation pattern gave a good fit to the ratio of 1 resistant: 1 susceptible further confirming that resistance to rust was under control of single gene. The analysis of variance revealed that mean squares for treatments were highly significant for all the characters. RILs having high yield potential and rust resistance were identified. Phenotypic and genotypic coefficients of variation were high for pods per plant followed by biological yield per plot. High heritability estimates were observed for most of the characters. Genetic advance was highest for biological yield per plot followed by seed yield per plot. Estimation of phenotypic correlation coefficients indicated that seed yield per plot expressed highly significant and positive correlation with biological yield per plot, harvest index, seeds per pod. Path coefficient analysis revealed that the traits biological yield per plot, harvest index, days to 50 percent flowering, days to maturity, plant height, pods per plant and primary branches had positive direct effect on seed yield per plot.