‘Sinbaram’ is a new cultivar developed for soy sprout production at the National Institute of Crop Science (NICS). It was developed using the line breeding method in 2010 by artificially crossing ‘Pungsannamulkong’(IT263156) with the ‘HS1371-49-2-2’ line in 2010. F₁ plants and the F₂ population were developed in 2011 and 2012, respectively, and a promising line was selected using F₃ to F₅ in the pedigree method. It was evaluated for agronomic traits, yield, and soy sprout characteristics in a preliminary (PYT) and an advanced (AYT) yield trial in 2016 and 2017, respectively. ‘Sinbaram’ has purple flowers, a lanceolate leaflet shape, grey pubescence, and small yellow seeds (10.2 g/100 seeds). The flowering and maturing dates were August 4 and October 9, which were 2 and 5 days earlier than ‘Pungsannamulkong.’ Plant height, first pod height, number of nods, number of branches, and number of pods were 46 cm, 10 cm, 14, 3.5, and 82, respectively. The germination rate and sprout characteristics were similar to those of ‘Pungsannamulkong’, and the yield was 83% higher in the sprout test. In the yield test, the yield was 3.58 tons/ha in the 2-year yield trial, which was 1% higher than that of ‘Pungsangnamulkong,’ and 2.71 tons/ha in the 3-year regional yield trial, 8% lower than that of ‘Pungsannamulkong’, with an average of 2.71 tons/ha in the four regions. In addition, the overall score of 6.7 in the processor survey was higher than 6.0 for ‘Pungsannamulkong.’ Therefore, the ‘Sinbaram’ cultivar is expected to be preferred because it has good sprout characteristics. (Registration number: 9460)

Marker-assisted backcrossing is a powerful method for developing new cultivars. To develop genomic-wide markers, genotyping-by-sequencing (GBS) can be an efficient method. However, unrefined low-quality markers and missing data between markers can contribute to hampering the marker selection process, particularly in multi-way crosses. In this study, we aimed to calculate the recovery rate of offspring individuals and minimize errors that occur among a large number of markers. Initially, missing data were imputed by comparing samples using the k-nearest neighbor (k-NN) algorithm. Thereafter, low-quality single-nucleotide polymorphisms (SNPs) were corrected by applying the graphical representation method based on the k-NN algorithm in order of the SNPs in a chromosome designed for a multi-parental population. Four-way cross and double-backcrossed tomato BC₁F₁ (230 lines) and BC₂F₁ (96 lines) populations were genotyped by GBS. The genotype of samples of the BC₁F₁ and BC₂F₁ populations was determined based on the parental haplotype. Thus, the method of visualizing the genotype of offspring individuals, generated via crosses of multiple parents, not only improves estimation of the recovery rate but also facilitates easier selection in breeding programs.