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Bean pyralid (BP; Lamprosema indicata Fabricius) is one of the major leaf-feeding insects that affect soybean crops in central and southern China. Four recombinant inbred line populations (KY, WT, XG and SX) were tested during 2004–2006 in Nanjing, China, to identify quantitative trait loci (QTL) for resistance to BP on the basis of data for rolled leaflet(More)
Common cutworm (CCW; Spodoptera litura Fabricius) is a major leaf-feeding pest in Asia. The focus of this study was to explore the genetic mechanism for resistance to CCW in terms of antibiosis and antixenosis through mapping QTL (Quantitative trait locus/loci) in soybean using two recombinant inbred line populations. Larva weight (LW) and pupa weight (PW)(More)
"Breeding by Design" as a concept described by Peleman and van der Voort aims to bring together superior alleles for all genes of agronomic importance from potential genetic resources. This might be achievable through high-resolution allele detection based on precise QTL (quantitative trait locus/loci) mapping of potential parental resources. The present(More)
Utilizing an innovative GWAS in CSLRP, 44 QTL 199 alleles with 72.2 % contribution to SIFC variation were detected and organized into a QTL-allele matrix for cross design and gene annotation. The seed isoflavone content (SIFC) of soybeans is of great importance to health care. The Chinese soybean landrace population (CSLRP) as a genetic reservoir was(More)
Common cutworm (CCW) is one of the more serious leaf-feeding pests of soybean, causing significant yield losses in China. We have studied a sample (526 accessions) of the Chinese soybean germplasm population by association analysis using 233 polymorphic markers. Our aim was to detect quantitative trait loci (QTL) and corresponding alleles relating heritable(More)
Experimental error control is very important in quantitative trait locus (QTL) mapping. Although numerous statistical methods have been developed for QTL mapping, a QTL detection model based on an appropriate experimental design that emphasizes error control has not been developed. Lattice design is very suitable for experiments with large sample sizes,(More)
Proteomics has been utilized as an effective approach to bridge the gap between phenotype and genome sequence, however, more effective strategies need to be explored to find target gene(s) from many differentially expressed proteins (DEPs). Here, we utilized an interdisciplinary approach employing a range of methodologies and software tools of genomics,(More)
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