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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/15435
Title: GENETIC DIVERSITY OF SOYBEAN ACCESSIONS USING SEED STORAGE PROTEINS
Authors: ZAFAR IQBAL
REHAN NAEEM
MUHAMMAD ASHRAF
MUHAMMAD ARSHAD
AFTAB AFZAL
AZHAR HUSSAIN SHAH
KHAN, MIAN SAYED
MUHAMMAD FAROOQ
Keywords: Soybean genotypes
Seed storage proteins
Cluster Analysis
Principal Coordinate Analysis
AMOVA
Issue Date: 28-Feb-2015
Publisher: Karachi: Pakistan Botanical Society
Citation: Iqbal, Z., Naeem, R., Ashraf, M., Arshad, M., Afzal, A., Shah, A. H., ... & Farooq, M. (2015). Genetic diversity of soybean accessions using seed storage proteins. Pak. J. Bot, 47(1), 203-209.
Abstract: Soybean, Glycine max (L) Merrill, is the most important grain legume in the world that has a fairly wide range of adaptations to different climatic conditions. The present study was conducted to assess genetic variations on 139 Soybean genotypes collected from different countries including Australia, Brazil, India, Japan, Pakistan, Tiwan, USA, Yugoslavia and China. A total of 17 bands have been identified for 139 Soybean genotypes which include 9 monomorphic bands and 8 polymorphic bands. Total number of bands was found highest for India (215) while these were lowest for Yugoslavia (33). Cluster analysis, clustered these accessions into 10 clusters without having any indication of grouping on the basis of their relationships to their regions. Pairwise comparisons based on Nei and Li similarities for inter-population genetic distances of soybean accessions ranged from 0.14 to 1.12. Genetic distances for soybean germplasm from different countries were found highest for Brazil (0.97±0.03) while it was lowest for Taiwan (0.91±0.02). Clustering for Soybean groups was clustered into three clusters including Korea, Taiwan in the first group while Yugoslavia and Japan were clustered in the second group. The third cluster was comprised of Soybean genotypes from China, Pakistan, USA, India Brazil and Australia. Total seed storage protein variation was partitioned by AMOVA on the basis of their origins into within-population and amongpopulation components which revealed 10.00% of the total variation resided among countries and 90.0% within countries. Genetic patterns obtained from this study can help soybean breeders to make better plan for selecting germplasm from wide sources for a specific purposes.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/15435
ISSN: 2070-3368
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