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United States Department of Agriculture

Agricultural Research Service


item Kottapalli, Rao Kameswara
item Burow, Gloria
item Burow, Mark
item Burke, John
item Puppala, Naveen

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 5/16/2006
Publication Date: 6/19/2006
Citation: Kottapalli, R., Burow, G.B., Burow, M., Burke, J.J., Puppala, N. 2006. Genetic diversity in US peanut core of core collection using SSR markers[abstract]. Western Crop Science Congress. Las Cruces, NM. Jun 19-21, 2006.

Interpretive Summary:

Technical Abstract: Peanut is the second most important legume crop under cultivation in the United States. Peanut improvement is hampered by limited genetic variability in the germplasm available to breeding programs. As an aid towards increasing the available genetic variation, core collection that represents the range of variability in over all germplasm pool was constructed. This study was conducted to characterize a core of the core collection (mini core) of peanut germless for the US peanut industry using simple sequence repeat markers. Seventy two peanut accessions were genotyped using 73 markers (twelve of which are mapped SSR markers) and scored for their haplotype states using high throughput fragment analysis. We report for the first time based on phylogenetic and phenetic studies employing a combination of clustering and parsimony methodologies that the four botanical varieties represented in the COC can be grouped consistently. A substantial genetic variation was found to exist in the core of core collection. A group of twelve unlinked markers with known map position identified lower variation among the accessions but was found sufficient to identify botanical and market types and gave similar data as in using larger number of markers. The genetic variation observed indicate that SSR markers are highly suitable for development of genetic map of cultivated tetraploid peanut. Population structure based on the groupings was found to be significant and should be considered for future association mapping.

Last Modified: 06/25/2017
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