Genetic variability, correlation and path coefficient analysis of introduced genotypes of linseed (Linum usitatissimum l.) in mid-hills of North-West Himalayas

Abstract

Present study comprises of 45 introduced and 2 indigenous genotypes of linseed which were evaluated at Experimental Farm of the Department of Crop Improvement, CSK HPKV, Palampur during rabi 2018-19. The experiment was carried out in RCBD with three replications. Each genotype was evaluated for 10 yield contributing characters. High heritability coupled with high genetic advance was recorded for primary branches, secondary branches, number of capsules, biological yield and seed yield. Seed yield showed highest significant positive correlation with biological yield (0.847) followed by plant height, primary branches and secondary branches. Significant negative correlation was observed for days to 50 per cent flowering and days to 75 per cent maturity. The results of path analysis revealed highest direct effect of biological yield (1.088) and harvest index (0.554) with seed yield, while primary branches, secondary branches and number of capsules showed higher indirect effects via biological yield.

Association and Path Analyses amongMorpho-agronomic Traits, Fatty Acids Contents and Oil Yield in Linseed (Linumussitatisimum L.) Genotypes in Ethiopia

“…The genotypic correlation between seed yield per plant and oil yield per plant is almost equal to its direct effect, this shows genotypic correlation explains the true relationship and direct selection through seed yield per plant will be effective to improve oil yield per plant of linseed. These results are in agreement with the ndings of Wakjira [37]; Tadesse [33]; Mulusew [19]; Tariq [34]; Paul [25]for seed yield per plant.…”

“…Similarly, biological yield per plant had highly signi cant and positive correlations (r p = 0.86**, r p = 0.86**) with seed yield per plant in each location (Holeta and Kulumsa), respectively at phenotypic level, indicating a direct selection through biological yield per plant will be effective in order to improve seed yield per plant of linseed. These results are in agreement with the ndings of Tariq [34]; Paul [25] for biological yield per plant and partially agree with the ndings of Tadesse [33] for harvest index and biomass yield. .02908 **: significant at p < 0.01 probability levels.…”

“…This indicates a direct selection through biological yield per plant will be effective in order to improve seed yield per plant of linseed. These results are in agreement with the ndings of Tariq [34]; Paul [25] for biological yield per plant and partially agree with the nding of Tadesse [33] for harvest index and biomass yield. .018739 **: significant at p < 0.01 probability levels.…”

“…Similarly, oil yield per plant had highly signi cant and positive correlations (r p = 0.90**, r p = 0.91**) with seed yield per plant in each location (Holeta and Kulumsa), respectively at phenotypic level, indicating the need for direct selection for this trait in order to improve oil yield per plant of linseed. These results are in agreement with the ndings of Wakjira [37]; Tadesse [33]; Mulusew [19]; Tariq [34]; Paul [25] for biological yield per plant. Kulumsa Residual=0.006013 ns and **, nonsignificant and significant at p < 0.01 probability levels, respectively.…”