Vol. 5 (5) : September-October 2014 issue
Green Farming Vol. 5 (5) : 742-745 ; September-October, 2014
Study on phenotypic & genotypic variation ; correlation and path analysis in finger millet [Eleusine coracana (L.)]
D.R. CHAUDHARIa1*, P.P. CHAUDHARIb2, M.M. PANDYAa3, A.V. NARWADEa4 and J.V. PATELb5
aDept. of Genetics & Pl. Breeding, N.M. College of Agricultural, Navsari Agricultural University, Navsari – 396 450
bHill Millet Research Station, Waghai, Dist. Dangs (NAU, Navsari) - 394 730 (Gujarat)
Designation : 1,3Ph.D. Scholar *(thewall.chaudhari@gmail.com), 2Res. Scientist, 4Asstt. Professor, 5Res. Scientist
Subject : Crop Genetics and Plant Breeding
Paper No. : Combination P-1295 P-1296
Total Pages : 4
Received : 29 January 2014
Revised accepted : 22 September 2014
Get Access
Citation :
D.R. CHAUDHARI, P.P. CHAUDHARI, M.M. PANDYA, A.V. NARWADE and J.V. PATEL. 2014. Study on phenotypic & genotypic variation ; correlation and path analysis in finger millet [Eleusine coracana (L.)]. Green Farming Vol. 5 (5) : 742-745 ; September-October, 2014
ABSTRACT
The phenotypic and genotypic variability were high for days to 50 per cent flowering, days to maturity, plant height and straw yield where medium for total fingers per plant and grain yield and low for number of tillers per plant, number of productive tillers per plant, fingers per main ear, ear head length and test weight. Association analysis between grain yield per plant and other ten characters revealed that grain yield per plant showed highly significant and positive correlation with straw yield, days to 50 per cent flowering, ear head length and fingers per main ear. Grain yield per plant showed significant and positive correlation with days to maturity, total fingers per plant and fingers per main ear. Path coefficient analysis revealed that, the number of tiller per plant showed that the highest direct effects on grain yield followed by total fingers per plant, days to 50 per cent flowering and straw yield showed moderate to low direct effects.
Key words :
Correlation, Finger millet, Path analysis, Phenotypic & genotypic variation.