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a Dep. of Crop Sciences, 1101 W. Peabody Dr., Univ. of Illinois, Urbana, IL 61801
b Institute of Crop Germplasm Resources, Chinese Academy of Agricultural Sciences, Beijing, China
c Pioneer Hi-Bred Intl., P.O. Box 328, Hamel, IL 62046
d USDA-ARS, Plant Germplasm Introduction and Testing Research, Room 59 Johnson Hall, Washington State Univ., Pullman, WA 99164-6402
e USDA-Agricultural Research Service, Soybean/Maize Germplasm, Pathology, and Genetics Research Unit, Dep. of Crop Sciences, 1101 W. Peabody Dr., Univ. of Illinois, Urbana, IL 61801
* Corresponding author (rlnelson{at}uiuc.edu)
Most of the U.S. soybean [Glycine max (L.) Merr.] ancestral lines were introduced from China, but nothing is known of the genetic relationships among the ancestors of modern U.S. and Chinese cultivars. The objectives of this research were to measure the variation among the major ancestors of U.S. and Chinese cultivars, to establish the genetic relationships among these U.S. and Chinese soybean ancestral lines, and to determine the relationship between geographical origin and genetic diversity. Genomic DNA from these lines was characterized by random amplified polymorphic DNA (RAPD) with 35 selected decamer primers. On the basis of the presence or absence of amplified DNA fragments, simple matching coefficients were used to calculate genetic similarities between pairs of lines. Cluster analyses generally separated the ancestral gene pools of the USA and China. Clusters reflected the geographical origin of the lines. Large differences exist between northern U.S. and Chinese ancestral lines and central and southern Chinese ancestral lines. The pattern of diversity found within the U.S. and Chinese ancestors can aid breeders in selecting parental lines to more efficiently exploit the diversity found in these two major gene pools.
Abbreviations: AMOVA, Analysis of molecular variance HHH, Huang Huai Hai region in China (east central) MG, maturity group NE, northeast region in China PCR, polymerase chain reaction RAPD, random amplified polymorphic DNA SMC, simple matching coefficient UPGMA, unweighted pair group method using arithmetic average
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