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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data

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Author(s):
Geribello Priolli, Regina Helena [1] ; Pinheiro, Jose Baldin [1] ; Zucchi, Maria Imaculada [2] ; Bajay, Miklos Maximiliano [2] ; Vello, Natal Antonio [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Genet, BR-13400970 Piracicaba, SP - Brazil
[2] Inst Agron Campinas, Ctr Pesquisa & Desenvolvimento Recursos Genet Veg, BR-13001970 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Brazilian Archives of Biology and Technology; v. 53, n. 3, p. 519-531, mar./jun. 2010.
Field of knowledge: Biological Sciences - Genetics
Web of Science Citations: 11
Abstract

In this study, simple sequence repeats (SSR) loci and pedigree data were used to investigate the genetic relationship in a group of 168 Brazilian soybean cultivars. Eighteen SSR loci produced an average of 5.06 alleles and a mean gene diversity of 0.58 for the cultivars studied. Genetic distance (GD) was determined using the modified Roger's Wright distance, and a final dendrogram was in agreement with the cultivar pedigree. A distance matrix based on the coefficient of parentage scores was also generated for the cultivars, which ranged from 0 to 1, with a mean of 0.18, whereas SSR-based genetic similarity (1- GD) ranged from 0.01 to 0.90, with a mean of 0.25. Mantel's Z test showed that the similarity matrices generated from both the data sets were low, but significantly correlated (r = 0.31, p<0.001). The results showed that SSR data and pedigree analyses could help to quantify more accurately the degree of relationship among the soybean cultivars. (AU)

FAPESP's process: 08/56249-9 - Association analysis using SSR and SNP loci to find QTL for seed oil content in soybean
Grantee:Regina Helena Geribello Priolli
Support Opportunities: Program for Research on Bioenergy (BIOEN) - Young Investigators Grants