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Identification of quantitative trait loci conditioning partial resistance to Phytophthora sojae in soybean PI 407861A

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Improving resistance for Phytophthora root and stem rot is an important goal in soybean [Glycine max (L.) Merr.] breeding. Partial resistance can be as effective in managing this disease as single-gene (Rps) mediated resistance and is more durable. The objective of this study was to identify QTL conferring partial resistance to Phytophthora sojae in an OX20-8 × PI 407861A cross, where PI 407861A was used as the source of partial resistance. One hundred fifty-seven F7–derived recombinant inbred lines (RILs) were evaluated for partial resistance to P. sojae isolate OH25 using tray tests. Composite interval mapping identified nine QTL on chromosomes 3, 4, 8, 10, 13, 15, and 18. The phenotypic variance explained by individual QTL ranged 2.4 to 8.6 %, with a total of 44 %. Two QTL on chromosome 3 and 8 are novel QTL first reported for partial resistance to P. sojae in this study. All nine QTL were localized near known R-gene rich regions and previously reported QTL for resistance to soil-borne pathogens. Genome-wide distribution of those QTL in this population was distinct from the QTL identified in Conrad populations, while many QTL in common with QTL identified in a population derived from crosses with another South Korean soybean accession, implicating underlying genes for partial resistance in these exotic genotypes may be distinct from genes controlling variation for partial resistance observed in North American cultivars. These results indicate that PI 407861A is a promising genetic source of alleles that can be used to enhance levels of partial resistance to P. sojae in soybean cultivars.
Sungwoo Lee , M. A. Rouf Mian , Leah K. McHale , Clay H. Sneller , Anne E. Dorrance
Glycine max , Phytophthora sojae , alleles , chromosome mapping , chromosomes , crossing , cultivars , disease resistance , fungal diseases of plants , genotype , germplasm , inbred lines , pathogens , phenotypic variation , plant genetic resources , quantitative trait loci , root rot , soybeans , stem rot , variance
Crop Science 2013 v.53 no.3
Journal Articles, USDA Authors, Peer-Reviewed
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