Record Details

CHARACTER ASSOCIATION AND GENETIC DIVERGENCE IN FINGER MILLET (Eleusine coracana (L.) Gaertn)

KrishiKosh

View Archive Info
 
 
Field Value
 
Title CHARACTER ASSOCIATION AND GENETIC DIVERGENCE IN FINGER MILLET (Eleusine coracana (L.) Gaertn)
 
Creator HARI KRISHNA, G
 
Contributor PANDURANGA RAO, C
 
Subject CHARACTER, ASSOCIATION, GENETIC, DIVERGENCE, FINGER, MILLET
 
Description The present investigation was carried out separately during two consequent
seasons of 2004-2005, namely Kharif 2004 and Rabi 2005 at Agricultural College
Farm, Bapatla, with 60 genotypes of Eleusine coracana(L.) to elicit information on the
nature and extent of variability, heritability, genetic advance, genetic divergence,
character association and the magnitude of direct and indirect effects of yield
components on yield for 22 characters viz., days to 50% flowering, plant height,
productive tillers per plant, fingers per ear, length of finger, ear weight per plant, 1000
seed weight, yield per plant, yield per plot, protein content, straw yield per plot, length
of root at nursery (L.R.N), length of root at main field (L.R.M), length of shoot at
nursery (L.S.N), volume of root at nursery (V.R.N), volume of root at main field
(V.R.M), volume of shoot at nursery (V.S.N), volume of shoot at main field (V.S.M),
weight of root at nursery (W.R.N), weight of root at main field (W.R.M), weight of
shoot at nursery (W.S.N) and weight of shoot at main field (W.S.M)
 The genotypic coefficients of variation for all the characters studied were lesser
than the phenotypic coefficients of variation indicating the masking effects of
the environment.
 High PCV coupled with high GCV observed for productive tillers per plant,
length of finger and straw yield per plot during both seasons indicate presence
of wider variability for these traits in the genotypes studied.
 High heritability coupled with high genetic advance as per cent of mean was
observed for productive tillers per plant, fingers per ear, length of finger, ear
weight per plant, 1000 seed weight, yield per plant, yield per plot, protein
content, straw yield per plot, length of root at nursery, length of root at main
field, volume of root at nursery, weight of root at nursery and weight of shoot at
main field indicating operation of additive gene action in the inheritance of
these traits and improvement in these characters is possible through direct
selection.
 The correlation study indicated that days to 50%flowering, plant height,
productive tillers per plant, ear weight per plant, 1000 seed weight, yield per
plot, straw yield per plot, length of root at nursery, length of root at main field,
length of shoot at nursery, volume of root at nursery, volume of root at main
field, volume of shoot at nursery, volume of shoot at main field, weight of root
at nursery, weight of root at main field, weight of shoot at nursery and weight of
shoot at main field had positive association with seed yield and hence
simultaneous improvement of these characters along with seed yield is possible.
 Protein content showed negative association with seed yield which denotes that
simultaneous improvement of this trait along with seed yield is not possible. So
we have to seek an adjustment among the attributes to find out an acceptable
level of these characters.
 The path analysis indicated that 1000 seed weight, productive tillers and yield
per plot exerted perfect direct positive effect on seed yield. As direct effects of
these parameters are almost equal during both the seasons, direct selection
through these traits for improvement of seed yield is highly effective. The
indirect selection through ear weight per plant is highly rewarding as most of
the traits showed maximum positive indirect effect through this trait.
 The results of multivariate analysis indicated the presence of considerable
genetic divergence among the 60 genotypes studied. The 60 genotypes were
grouped into 10 clusters during both the seasons. Clustering pattern of
genotypes did not follow geographical origin, suggesting that geographical
isolation may not be the only factor causing genetic diversity. Based upon the
divergence studies crosses may be made between the genotypes of clusters
IX(GE 1853) and X (GE 2999) during Kharif and between clusters III (GE
4976, GE 4411, GE 404, GE 2073, GE 1, GE 1437, GE 2817, GE 2461, GE
3090, GE 3986, GE 5257, GE 2340, GE 4798 and GE 1853) and V ( GE 1324)
during Rabi for more yield per plant, fingers per ear, productive tillers per plant
and more 1000 seed weight.
 Out of 22 characters studied, protein content followed by length of finger
contributed maximum towards divergence.
 The principal component analysis identified 6 principal components during
both the seasons with eigen values >1. The contribution by the first PC is
maximum during both the seasons and is loaded with maximum contributing
variables ie., ear weight per plant, yield per plant, yield per plot, length of root
at nursery length of root and shoot at nursery, volume of root at main field,
volume of shoot at main field and weight of shoot at main field. This analysis
identified that genotypes GE 532, GE 4798, GE 4248, GE 1853 and GE 1077
have maximum variance for the above characters.
 The clustering pattern is in accordance with the PCA analysis during both the
seasons. Hierarchical cluster analysis revealed the sub groups in the major
group of genotypes through Wards minimum variance dendrogram.
Thus, the present study during Kharif 2004 and Rabi 2005 revealed that
the major emphasis should be laid on selection process with increased productive tillers
per plant coupled with more ear weight per plant and 1000 seed weight for realising
higher seed yield, in finger millet (Eleusine coracana (L.) Gaertn).
 
Date 2016-08-20T13:57:07Z
2016-08-20T13:57:07Z
2005
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/73172
 
Language en
 
Relation D7681;
 
Format application/pdf
 
Publisher ACHARYA N.G.RANGA AGRICULTURAL UNIVERSITY, RAJENDRANAGAR, HYDERABAD