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CHARECTERIZATION IN PIGEONPEA [Cajanus cajan (L.) Millsp.] ADVANCED LINES

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Title CHARECTERIZATION IN PIGEONPEA [Cajanus cajan (L.) Millsp.] ADVANCED LINES
 
Creator SEERAPU VENKATA NARESH
 
Contributor GOVINDA RAO, B
 
Subject PIGEONPEA
 
Description The present investigation on characterization in pigeonpea advanced
lines was carried out during kharif, 2010-11 at Regional Agricultural Research
Station, Lam, Guntur with 49 genotypes of pigeonpea [Cajanus cajan (L.)
Millsp.]
The genotypes were characterized for 15 morphological characters viz.,
anthocyanin colouration of hypocotyls, plant branching pattern, plant growth
habit, stem colour, leaf shape, pubescence on lower surface of the leaf, flower
colour, pattern of streaks on petal, pod colour, pod surface stickiness, pod
waxiness, pod constriction, seed colour, seed colour pattern and seed shape as
per DUS guidelines of pigeonpea and for 13 quantitative charecters.
The mean variability, heritability, genetic advance as per cent of mean,
genetic divergence, character association and the magnitude of direct and
indirect effects of yield component traits with seed yield per plant were studied
for 13 characters viz., plant height (cm), days to 50% flowering, days to
maturity, number of primary branches per plant, number of secondary branches
per plant, number of pods per plant, pod length (cm), number of seeds per pod,
shelling percentage (%), 100 seed weight (g), seed yield per plant (g), grain
protein content (%) and harvest index.
The genotypic coefficients of variation for all the characters studied
were lesser than the phenotypic coefficients of variation indicating the
modifying effect of the environment in association with the characters at
genotypic level. High PCV coupled with high GCV was observed for the traits
viz., number of primary branches per plant, number of secondary branches per
plant and number of pods per plant indicating the presence of wider variability
for these traits in the population studied. High heritability coupled with high
genetic advance as per cent of mean was observed for plant height, number of
primary branches per plant, number of secondary branches per plant, number of
pods per plant and seed yield per plant which indicates the operation of
additive gene action in inheritance of these traits.
Correlation studies indicated that days to 50% flowering, number of
pods per plant and harvest index had significant positive association with seed
yield per plant. Path coefficient analysis revealed that plant height, number of
pods per plant, shelling percentage and harvest index had positive direct effects
on seed yield per plant together with strong positive correlation on seed yield
per plant revealing their true relationship. So improvement in seed yield is
possible by taking number of pods per plant and harvest index characters in the
selection scheme.
The results of multivariate analysis revealed that considerable genetic
divergence was existed among the 49 genotypes studied and grouped into 4
clusters as per D2 analysis and 8 clusters in case of cluster analysis grouping of
genotypes was at random, which suggested that geographical isolation might
not be the only factor causing genetic diversity.
By Mahalanobis’ D2 statistic, it could be inferred that the trait number of
primary branches per plant contributed maximum towards divergence followed
by days to 50% flowering, seed yield per plant and grain protein content.
Based on the intra and inter-cluster distances among the clusters, suggestions
were made to attempt crosses to obtain new desirable recombinants between
the genotypes of cluster III and II followed by cluster II and IV.
Principal component analysis indicated first five principal components
(PCs), contributed 75.04 per cent of cumulative variance. The first principal
component explained 31.71% of total variability and was characterized by
plant height, number of primary branches per plant, number of secondary
branches per plant and shelling percentage.
Agglomerative cluster analysis showed that wide genetic distance exists
between clusters II and III followed by clusters I and II. Therefore, for
hybridization programme, selection of parents from these clusters will produce
superior segregants. Dendrogram obtained by cluster analysis showed the sub-
grouping of genotypes within the cluster which is not possible through D2
analysis.
The genotypes LRG-97, LRG-61, BRG-2 and BDN 2010 showed
maximum inter-cluster distance and wide genetic distance in all the three
divergence methods. So they can be exploited in hybridization programme for
identification of desirable segregants.
 
Date 2016-06-29T15:46:56Z
2016-06-29T15:46:56Z
2011
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/68278
 
Language en
 
Relation D9069;
 
Format application/pdf
 
Publisher ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY