The quick response(QR) system is very popular in Korean apparel companies. However, the usage of QR system was not known well. The purpose of this study is to identify the usage of the quick response decision support system(QR DSS) and postponement manufacturing in the Korean apparel company. The researched company was the only one which used the QR DSS. The researchers carried out the depth interview with the QR decision makers of the company. This company had 14 brands, and had used the QR DSS since January, 2008. The results are as follows: The QR DSS was supportive computer software program, and it helped the staffs to make agile decision about QR repeat production of clothing. The QR DSS automatically calculated the related data, and suggested the expected sales volume and the proper supply amounts of the styles. There were four functions in QR DSS : 'QR Alert', 'Proper Supply Amount Simulation', 'Sensible QR', and 'Supply/Sales Simulation by Item'. The men's clothing brands effectively used 'Supply/Sales Simulation by Item' function. And the women's clothing brands effectively used 'QR Alert' function. This company also used the postponement production system for QR repeat production. The postponement production was conducted with four methods : the yarn stocking, the grey fabric stocking, the dyed fabric stocking, and the fabric sourcing. The men's clothing brands usually used of the yarn stocking methods and the dyed fabric stocking methods. The women's clothing brands usually used the grey fabric stocking methods. By using QR DSS and postponement production system the company was able to shorten the lead time for QR decision making.

Leaf mold disease in tomato (Solanum lycopersicum) is caused by Cladosporium fulvum, a fungal leaf pathogen. One of effective ways to control leaf mold is to breed disease-resistant tomato cultivars. Cf-4 and Cf-9 resistance (R) genes encode proteins that carry a leucine rich repeat domain and are located in plasma membrane. They trigger hypersensitive response following recognition of corresponding Avr4 and Avr9 proteins of C. fulvum, respectively. Cf-4 and Cf-9 genes are originated from wild tomato species S. habrochaites and S. pimpinellifolium and have been introgressed into commercial tomato cultivars. These two highly homologous orthologs exist as a cluster with four highly homologous paralogs. Due to this reason, development of genetic markers to distinguish these two functional R genes from their orthologs and paralogs is difficult. In this study, we tried to develop single-nucleotide polymorphism (SNP) markers to select tomato cultivars carrying resistant Cf-9 genotype. The genomic sequences of resistant Cf-4 and Cf-9 alleles, susceptible cf-9 alleles, and their paralogs were obtained from the GenBank database, and two functional SNPs causing non-synonymous substitution were found among them. Based on two SNPs, the Cf-9_2-SNP-F/R primer set for high resolution melting (HRM) analysis was developed. HRM analysis with this primer set could successfully distinguish tomato cultivars carrying resistant Cf-9 allele among 30 commercial tomato cultivars, which were characterized with the gene-based marker. These indicate that the SNP marker developed in this study is useful to trace Cf-9 genotype efficiently in marker-assisted selection in tomato.

Tomato spotted wilt virus (TSWV) causes one of the most destructive viral diseases that threaten tomato (Solanum lycopersicum) worldwide. So far, eight TSWV resistance genes, Sw1a, Sw1b, sw2, sw3, sw4, Sw-5b, Sw-6, and Sw-7 have been identified and Sw-5b has been incorporated into tomato for prevention of TSWV. The objectives of this research are first to discover single nucleotide polymorphisms (SNPs) in Sw-5 alleles and then to develop SNP markers to distinguish resistant genotypes against TSWV for marker-assisted breeding in tomato. First, DNA sequences of Sw-5b alleles from both resistant and susceptible cultivars amplified using known Sw-5 gene-based marker was analyzed. The single functional SNP (G→A) was detected as non-synonymous substitution because this SNP causes change of arginine (Arg599) to glutamine (Gln599). Next, the primer pair for high resolution melting analysis (HRM) was designed around this SNP. To determine accuracy of this SNP marker to distinguish resistant Sw-5b genotypes against TSWV, genotypes of 32 commercial tomato cultivars were checked. The newly developed SNP marker could select six cultivars carrying resistant Sw-5b genotype, which was 100% correlated with genotypes based on the gene-based marker. These results indicate that the SNP maker developed in this study could be useful for better tracking resistance to TSWV in tomato breeding.