Genetic loci associated with fusarium solani tolerance in soybean
a gene locus and soybean technology, applied in the field of gene loci associated with fusarium solani tolerance in soybean, can solve the problems of relatively etc., to achieve rapid loss of resistance phenotype, severe losses in soybean viability and overall yield, and reduce these losses
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example 1
Intergroup Allele Frequency Distribution Analysis
[0301] Two independent allele frequency distribution analyses were undertaken to identify soybean genetic marker loci associated with tolerance to Fusarium solani infection. By identifying such genetic markers, marker assisted selection (MAS) can be used to improve the efficiency of breeding for improved tolerance of soybean to Fusarium solani infection.
Soybean Lines and Tolerance Scoring
[0302] The plant varieties used in the analysis were from diverse sources, including elite germplasm, commercially released cultivars and other public lines representing a broad range of germplasm. The lines used in the study had a broad maturity range varying from group 0 to group 6.
[0303] Two groups of soybean lines were assembled for each analysis based on their phenotypic extremes in tolerance to Fusarium solani infestation, where the plants were sorted into either highly susceptible or highly tolerant varieties. The classifications of tolera...
example 2
Association Mapping Analysis
[0318] An association mapping strategy was undertaken to identify soybean genetic markers associated with tolerance to Fusarium solani infection, which is the causative agent of soybean sudden death syndrome (SDS). The study was completed twice, generating two independent data sets. By identifying such genetic markers, marker assisted selection (MAS) can be used to improve the efficiency of breeding for improved tolerance of soybean to Fusarium solani infection. Association mapping is known in the art, and is described in various sources, e.g., Jorde (2000), Genome Res., 10: 1435-1444; Remington et al. (2001), “Structure of linkage disequilibrium and phenotype associations in the maize genome,” Proc Natl Acad Sci USA 98:11479-11484; and Weiss and Clark (2002), Trends in Genetics 18:19-24.
[0319] Understanding the extent and patterns of linkage disequilibrium (LD) in the genome is a prerequisite for developing efficient association ap...
example 3
QTL Interval Mapping and Single Marker Regression Analysis
[0336] A QTL interval mapping and a single marker regression analysis was undertaken to identify soybean chromosome intervals and genetic markers (respectively) that are associated with tolerance and allow the plant to escape the pathology associated with Fusarium solani infection. QTL mapping and marker regression are widely used methods to identify genetic loci that co-segregate with a desired phenotype. By identifying such genetic loci, marker assisted selection (MAS) can be used to improve the efficiency of breeding for improved soybean strains.
Soybean Lines
[0337] A mapping population for Fusarium solani tolerance was created from the cross of commercially available Pioneer varieties 93B41 and P9362. The population consisted of 276 RIL progeny.
Phenotypic Scoring
[0338] RIL phenotypic data was collected from non-inoculated, non-irrigated, naturally infested field screening site at a site in Streator, Ill. The scoring...
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