Genetic Variability, Correlation and Path Analysis in Cumin (Cuminum cyminum L.)
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Date
2021-06-08
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Agriculture University, Jodhpur
Abstract
A field experiment entitled “Genetic Variability, Correlation and Path analysis in
Cumin [Cuminum cyminum L.]” was carried out during Rabi, 2019 at Agricultural Research
Station, Mandor-Jodhpur (Rajasthan).
The experiment was laid out in Randomized Block Design with 40 genotypes and
three replications. The observations of days to 50 per cent flowering, days to maturity, plant
height, number of branches per plant, number of umbels per plant, number of umbellates per
umbel, number of seeds per umbellate,1000 seeds weight (g.), biological yield per plant (g.),
seed yield per plant(g.), harvest index and crude oil content were recorded to estimate the
extent of genetic variability, heritability, genetic advance, the correlation between yield and
other characters, the direct and indirect effect of yield contributing traits through path
coefficient analysis.
Analysis of variance exhibited significant difference for all the traits under study, showing sufficient inherent genetic variations present. The phenotypic coefficient of
variation (PCV) was marginally higher than genotypic coefficient of variation (GCV) for all
the characters under study which inferred that low influence of environment on the
experimental genotypes. The highest value of PCV and GCV were observed for seed yield per
plant and the lowest for days to maturity. High heritability and high genetic advance as per cent of mean was reported in all the
characters expect days to maturity, number of branches per plant and number of umbellates
per umbel. this suggested that these traits were governed by additive gene action. Hence,
these traits are much likely to prove effective in selection to improve seed yield per plant in
cumin. Correlation among the characters studied revealed that seed yield per plant has
positive significant association with characters like the plant height , number of branches per
plant , number of umbels per plant, number of umbellates per umbel, number of seeds per
umbellate, 1000 seeds weight, biological yield per plant, harvest index and crude oil content.
it also showed negative significant genotypic and phenotypic correlation with days to 50 per
cent flowering. Path coefficient analysis of various quantitative characters indicated that at genotypic
level the highest positive direct effect on seed yield per plant exerted by biological yield per
plant followed by harvest index and crude oil content. At phenotypic level the highest positive
direct effect on seed yield per plant exerted by harvest index followed by biological yield per
plant and plant height. Whereas, number of umbellates per umbel, days to maturity and
number of branches per plant contributed considerable negative direct effect on seed yield per
plant at genotypic level. number of umbellates per umbel and 1000 seeds weight contributed
considerable negative direct effect on seed yield per plant at phenotypic level.
Out of 40 genotypes MCU-105, MCU-59, MCU-34, MCU-64, GC-4, MCU-32 and
MCU-36 were found superior in seed yield and for other characters based on mean
performance. Hence these genotypes would be used as parental source for future breeding
programme.
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Citation
Singh Amninder 2021. Genetic Variability, Correlation and Path Analysis in Cumin (Cuminum cyminum L.). M.Sc. thesis, College of Agriculture, Agriculture University Jodhpur