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Genetic structure and diversity of soybean by SSR markers associated with protein content and biological nitrogen fixation
3rd International Conference on Nanotek & Expo
December 02-04, 2013 Hampton Inn Tropicana, Las Vegas, NV, USA

Adalgisa Ribeiro Torres

Accepted Abstracts: J Nanomed Nanotechnol

Abstract:

Knowing the structure of the population within a germplasm collection is essential to understanding and correctly interpreting the associations between functional and molecular diversity. This study aimed to determine the genetic structure and diversity of soybean cultivated in Brazil, based on SSR loci for protein content and biological nitrogen fixation (BNF). A total of 191 cultivars of soybean, developed and released by public and private institutions, were chosen. The cultivars were genotyped with 22 SSR markers associated with protein content. Genetic diversity and population structure were evaluated with DARwin 5.0 and STRUCTURE software, respectively. A total of 101 alleles were generated, ranging from 2 to 11, with an average of 5.05 alleles per locus. Only two markers revealed no polymorphism among 191 cultivars. The average of effective number of alleles was 4.28, ranging from 1.46 to 10.6. The polymorphism information-content values ranged from 0.2 - 0.8, with an average of 0.48. The mean linkage disequilibrium (LD) value (D?) for all statistically significant loci pairs was lower than 0.30. Genetic structure revealed two distinct subpopulations. To date, no investigation focusing protein content in grains and BNF has been done on soybeans cultivated in Brazil. Therefore, the results shown in our study will be useful for breeders for a more efficient conservation of germplasm and for association analyzes of protein content and BNF efficiency

Biography :

Adalgisa Ribeiro Torres is postdoctoral student at EMBRAPA Soja (Brazilian Agricultural Research Corporation). She has completed her Ph.D. in Genetics and Plant Breeding at the Universidade de S?o Paulo. She has experience in Agronomy with emphasis in Molecular Biology; Genetics of Microorganisms; Microbiology; Proteomics; Molecular markers and association mapping. She has published papers in reputed journals