Studies on Genetic Variability, Correlation and Path Analysis  in Lentil (Lens culinaris Medik.) Genotypes

Meena, Jitendar Kumar; Singh, Khajan; Meena, P.K.P.; Kumar, Rajesh; Meena, D.S.

doi:10.20546/ijcmas.2020.909.259

Cited by 1 publication

(2 citation statements)

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“…Samad et al, (2010) found seed yield had a highly significant and positive correlation with branch number in lentils which was supported by the present investigation as a number of secondary branches at the first flower has a positive correlation with seed weight per plant. That, various lentil researchers viz., Sarwar et al, (1984), Tyagi and Khan (2011), Aghili et al, (2012), Dalbeer et al, (2015), Adhikari et al, (2018), Tabti et al, (2018) and Meena et al, (2020) found a significant correlation between yield and yield contributing traits in lentil.…”

Section: Discussionmentioning

confidence: 97%

“…Lentil is an important cool season food legume crop that is cultivated predominantly in the Indian subcontinent, the Middle East, Northern America, Southern Europe, and Eastern and Northern Africa for food (Gupta et al, 2011). It is a short stature, annual, self-pollinate high value crop which has great significance in cereal-based cropping systems (Meena et al, 2020). Lentil crop is extremely good in nitrogen fixation from the atmosphere (Kushwaha & Singh, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Relationship and Selection Indices of Nine Irradiated Quantitative Traits of F1 Materials in lentils (Lens Culinaris Medic.)

Deb

Chowdhury

2022

Jordan j. Agr. sci.

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F1 materials of half-diallel crosses for nine characters in lentils were studied for correlation, path-coefficient, and selection index. The phenotypic component of variation (σ2p) was higher than the genotypic component of variation (σ2g). The highest σ2g and σ2pwere obtained for CAMF. Investigation showed that genotypic correlations (rg) were higher than the respective phenotypic correlations (rp) for most of the characters. SWPP showed a highly significant and positive correlation coefficient with other characters except for the NPBFF at the genotypic level and except NPBFF and DF at the phenotypic level. The highest significant and positive genotypic correlation coefficient was recorded for NSBFF with PdWPP at the genotypic level and PdWPP with SWPP at the phenotypic level. PdWPP had the highest positive direct effect on SWPP at both genotypic and phenotypic levels. The maximum expected genetic gain of 4603.196% was found when NPBFF and RW were included in the index. These two characters a had high correlation coefficient with most of the characters studied as well as a direct effect at the genotypic level may be considered as primary yield components.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%