Potential of DNA markers in detecting divergence and in analysing heterosis in Indian elite chickpea cultivars

Potential of DNA markers in detecting divergence and in analysing heterosis in Indian elite chickpea cultivars

Molecular markers such as RAPDs and microsatellites were used to study genetic diversity in 29 elite Indian chickpea genotypes. In general, micro-satellites were more efficient than the RAPD markers in detecting polymorphism in these genotypes. Among the various microsatellites, (AAC)5, (ACT)5, (AAG...

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Bibliographic Details
Published in:Theoretical and applied genetics Vol. 98; no. 8; pp. 1217 - 1225
Main Authors: Sant, V.J, Patankar, A.G, Sarode, N.D, Mhase, L.B, Sainani, M.N, Deshmukh, R.B, Ranjekar, P.K, Gupta, V.S
Format: Journal Article
Language:English
Published: Heidelberg Springer 01-06-1999
Berlin Springer Nature B.V
Subjects:
Agricultural production
agronomic traits
Biological and medical sciences
Biological diversity
Chickpea
Cicer arietinum
Classical genetics, quantitative genetics, hybrids
Corn
crop yield
Crops
cultivar identification
Cultivars
elites
Fundamental and applied biological sciences. Psychology
general combining ability
Genetic aspects
Genetic diversity
genetic markers
genetic variation
Genetics of eukaryotes. Biological and molecular evolution
Germplasm
heterosis
heterozygosity
hybrids
Investigations
lines
microsatellite repeats
Physiological aspects
Plant genetics
Polymorphism
prediction
Pteridophyta, spermatophyta
random amplified polymorphic DNA technique
specific combining ability
Vegetals
yield components
India
Asia
United States > US
Genetic variability
Genetic marker
Genetic distance
Genetic diversity
Random amplified polymorphic DNA marker
Heterosis
Grain legume
Leguminosae
Cicer arietinum
Dicotyledones
Microsatellite DNA
Angiospermae
Spermatophyta
Cultivar
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Summary:Molecular markers such as RAPDs and microsatellites were used to study genetic diversity in 29 elite Indian chickpea genotypes. In general, micro-satellites were more efficient than the RAPD markers in detecting polymorphism in these genotypes. Among the various microsatellites, (AAC)5, (ACT)5, (AAG)5 and (GATA)4 were able to differentiate all 29 chickpea cultivars. The mean value of probability of identical match by chance was 2.32 x 10(-25) using DraI-(ACT)5, TaqI-(AAC)5, TaqI-(AAG)5 and TaqI-(GATA)4 enzyme-probe combinations. The dendrogram, constructed on the basis of similarity index values, grouped the chickpea genotypes into five main clusters with 8 cultivars genetically distant and outgrouped from the main clusters. To investigate if DNA markers are useful in predicting F(1) performance and heterosis in chickpea, we crossed 8 genotypes having important agronomic characters in a diallel set. The F(1)s and their parents in the diallel set were analysed for agronomic traits for better parent and midparent heterosis. Heterosis was found to be much higher for yield than for yield components that fit a multiplicative model. The analysis of genetic divergence using D(2) statistics clustered the 8 cultivars into two groups. Although molecular marker-based genetic distance did not linearly correlate to heterosis, two heterotic groups could be identified on the basis of the general marker heterozygosity.
Bibliography:ObjectType-Article-2
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content type line 23
ISSN:0040-5752
1432-2242
DOI:10.1007/s001220051187