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STUDIES ON MORPHOLOGICAL AND MOLECULAR CHARACTERIZATION OF SOYBEAN [Glycine max. (L.) Merrill] VARIETIES

KrishiKosh

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Title STUDIES ON MORPHOLOGICAL AND MOLECULAR CHARACTERIZATION OF SOYBEAN [Glycine max. (L.) Merrill] VARIETIES
 
Creator RADHA, J
 
Contributor Anuradha, Ch.
 
Subject STUDIES, MORPHOLOGICAL, MOLECULAR, CHARACTERIZATION, SOYBEAN, VARIETIES
 
Description The present investigation was undertaken with an objective to identify
distinguishable morphological characters and molecular markers to establish the
varietal identity for the soybean varieties.
A set of 26 qualitative and quantitative morphological traits and 35 RAPD
markers were used for identification of soybean varieties.The plant morphological
traits viz., anthocyanin colouration of hypocotyl, shape of lateral leaflet, size of
lateral leaflet, intensity of green colour of leaf, plant growth type, plant growth
habit, flower colour, presence of hair on pod, colour of pod hair, intensity of
brown colour of pod, seed shape, ground colour of testa (excluding hilum), seed
coat lusture, hilum colour, hilum funicle colour, seed colouration due to
peroxidase activity, plant height, days to 50 per cent flowering and maturity, yield
attributes such as pimary branches/plant, pods per plant, seeds per pod, seed yield
per plant, seed size, protein per cent and oil per cent were useful for
characterization of soybean varieties as they exhibited variation. Genetic diversity
of these traits resulted in the grouping to the selected varieties into six clusters
thereby confirming their usefulness in discrimination of soybean varieties.
A total of 35 RAPD markers were employed for the present study, of
which15 RAPD primers were found to be polymorphic with an average of 4.2
alleles per primer. The polymorphic information content (PIC) for these primers
ranged from 0.585 to 0.969.
The cluster analysis based on Jaccard’s similarity coefficient using
UPGMA grouped the varieties into six major clusters. The similarity coefficient
among the varieties ranged from 0.25 to 0.92. The cluster analysis based on
morphological and RAPD data did not show perfect congruence in clustering
patterns and the RAPD markers provided more definitive separation of clusters
indicating their better discrimination power than morphological traits.
 
Date 2016-08-17T14:04:52Z
2016-08-17T14:04:52Z
2010
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/72765
 
Language en
 
Relation D8626;
 
Format application/pdf
 
Publisher ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY RAJENDRANAGAR, HYDERABAD