Genetic Variability, Correlation and Path Analysis in Finger Millet [Eleusine coracana (L.) Gaertn]
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Date
2021-09-25
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Agriculture University, Jodhpur
Abstract
An experiment entitled “Genetic Variability, Correlation and Path analysis in
Finger millet [Eleusine corocana (L.) Gaertn]” was conducted with 35 genotypes in
Kharif 2020 at Research Farm of Agricultural Research Station, Mandor, Jodhpur
(Rajasthan). The experiment was laid out in RandomizedBlock Design (RBD) with
three replications to estimate the extent of genetic variability, heritability, genetic
advance, correlation coefficient, path coefficient analysis and genetic divergence
among all the genotypes.
The analysis of variance exhibited significant difference among the genotypes
for all the characters under study indicating the presence of substantial degree of
variability. The phenotypic coefficient of variance (PCV) was higher than genotypic
coefficient of variance (GCV) for all the traits under study, indicating influence of
environment on expression of such traits. The highest value of PCV and GCV was
observed for iron content and the lowest for days to 50% flowering.
All the traits showed high heritability except number of fingers per ear,
number of effective tillers per plant and biological yield per plant. High heritability
coupled with high genetic advance as percent of mean were recorded for iron content,
test weight, calcium content, finger length, protein content, flag leaf area and days to
maturity hence these characters are most likely to be governed by additive gene action
and selection for these characters will be very effective.
Correlation studies among the characters revealed that grain yield per plant
has a strong positive and significant association with characters like flag leaf area,
finger length, test weight, biological yield per plant and harvest index at phenotypic
and genotypic levels depicting that these are important yield contributing traits. Path
coefficient analysis of various quantitative traits indicated that flag leaf area, test
weight, biological yield per plant, harvest index and iron content had the maximum
positive direct effect on grain yield per plant.
Based on the relative magnitude of D2
values, Tochers’s method
resulted in formation of seven clusters. Out of seven clusters, cluster I was the largest
comprising of fifteen genotypes followed by cluster II with twelve genotypes and
cluster III with four genotypes, clusters IV, V, VI and VII were monogenotypic
suggested the existence of high degree of heterogeneity among the genotypes. The
traits test weight contributed maximum towards genetic divergence. The highest intra
cluster distance was recorded in cluster III and cluster II while maximum inter cluster
distance was recorded between cluster III and cluster VII followed by cluster I and
cluster VII indicated that superior recombinants can be achieved by mating between
the lines of the clusters
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Citation
Bairwa Ujala 2021. Genetic Variability, Correlation and Path Analysis in Finger Millet [Eleusine coracana (L.) Gaertn]. M.Sc. thesis, College of Agriculture, Agriculture University, Jodhpur