Pears (Pyrus spp.) are economically important fruit trees grown extensively world-wide. To identify QTLs related to key agronomically important fruit traits, we conducted QTL analysis using an interspecific 178 F₁ populations derived from a cross between ‘Manpungbae’ and ‘Oharabeni’. Phenotyping data, including fruit weight, fruit length and diameter, fruit shape index (FSI), soluble sugar content, fruit firmness (FF), and titratable acidity (TA) were investigated from 2016 to 2018. Using the previously constructed genetic linkage map together with the three-year phenotypic dataset, we detected 14 significant QTLs associated with the control of fruit weight, fruit length and diameter, FSI, FF, and TA on linkage groups 3, 10, 11, 12, and 13. These findings provide a useful resource for advancing genetic and genomic studies in pears and will aid breeding efforts to improve major fruit traits.

Tofu, a widely consumed soy-based product, has seen increasing consumer demand, driven by health and dietary trends. Enhancing the processing suitability of soybeans requires analysis of the genetics associated with tofu quality traits. In this study, five key traits, namely water absorption (WA%), Brix of soymilk (°BS), soymilk yield (YM%), tofu residue (TR%), and tofu yield (YT%), were evaluated in two recombinant inbred line (RIL) populations: 81 lines of “Daepung”דSaedanbaek” and 122 lines of “Daepung”דGalchae”. Most traits exhibited normal distributions and transgressive segregation. Trait correlations revealed strong associations between WA and TR, and between YM and YT, with population-specific variation. Quantitative trait locus (QTL) mapping identified eight loci in each population linked to WA, °BS, YM, TR, and YT across multiple chromosomes. Notably, co-localized QTL were detected for WA% and TR% (chromosomes 1 and 6) and for WA%, YM%, °Brix, and TR% (chromosome 8), indicating pleiotropic regulation. Candidate genes included Glyma.06g173500, associated with β-glucan biosynthesis, and Glyma.03g132700, encoding β-glucanase, both implicated in seed coat permeability and tofu yield. These results provide novel genetic insights into seed coat properties and processing quality, and the identified QTLs and candidate genes represent valuable targets for marker-assisted selection in soybean breeding programs optimized for tofu production in Korea.

Flower color is one of the key trait that determines the marketability of chrysanthemums. However, genetic research on chrysanthemum remains limited because of numerous environmental factors and the complexity of the chrysanthemum genome. To gain a deeper understanding of the genetic mechanisms underlying flower color in chrysanthemum, this study conducted genotyping analysis on 94 F₁ progenies derived from a cross between two wild chrysanthemum parents, ‘CWT2’ and ‘CWT8,’ which exhibit distinct flower colors. Genotyping-by-sequencing (GBS) was used for SNP identification, resulting in 79,002 single nucleotide polymorphisms (SNPs). After stringent filtering, 2,548 SNP markers were selected to construct a GBS-SNP linkage map, which was subsequently used to detect quantitative trait loci (QTLs) associated with flower color. Four QTL were identified, encompassing genes involved in carotenoid biosynthesis, carotenoid degradation, and the methylerythritol phosphate pathway. Among the 16 candidate genes analyzed for their potential role in flower color determination, three genes (VDE, CYP707A4, and CYP707A2) were ultimately selected for molecular marker development. The findings of this study provide a valuable foundation for understanding the genetic basis of carotenoid degradation in chrysanthemums. Future in-depth research is expected to facilitate the development of new chrysanthemum varieties for breeding programs through marker-assisted selection in breeding programs.

Leaf size is closely related to photosynthesis and greatly affects rice productivity. Therefore, the search for quantitative trait Locus (QTL) that regulates leaf size is important for improving productivity through rice breeding. The F₉ recombinant inbred line (RIL) population from the cross between ‘Unbong 40’ (large leaves) and ‘Odae’ (ordinary size leaves) was grown in a test field, and the size traits of the flag leaves and 2nd leaves, along with stem and panicle length, were measured. Through QTL analysis of these traits, we detected 20 QTLs on chromosomes 1, 3, 6, 9, 11, and 12. In particular, the flag leaf length QTL qFLL3, the flag leaf area QTL qFLA3, the 2nd leaf length QTL q2LL3-2, and the 2nd leaf area QTL q2LA3 were clustered in the 149.0-161.6 cM region of chromosome 3, indicating that one QTL gene in this region may have pleiotropic effects that regulate the flag leaf length, flag leaf area, 2nd leaf length, and 2nd leaf area. In addition, the flag leaf width QTL qFLW9 and 2nd leaf width QTL q2LW9 were clustered in the 2.1-22.86 cM region on chromosome 9, which suggests that one QTL gene in this region may have pleiotropic effects that regulate both the flag leaf width and 2nd leaf width. These results serve as a valuable reference for breeding programs aiming to increase photosynthesis and yield by identifying QTLs for leaf size traits in Korean japonica rice.

‘Chamdongjin’ is a rice cultivar with a distinctively large grain size and good palatability, similar to ‘Sindongjin,’ which is a mega-cultivar in Korea. ‘Younghojinmi’ is a rice cultivar known for having the highest taste value among premium quality cultivars. In this study, we conducted quantitative trait loci (QTL) analysis of quality-related traits using recombinant inbred lines (RILs) derived from a cross between ‘Chamdongjin’ and ‘Younghojinmi’ to elucidate their genetic interactions. We analyzed 20 traits, including protein content, amylose content, glossiness of cooked rice, 7 traits related to grain appearance, 6 traits related to pasting properties, and 4 traits related to texture. Quality-related QTL were primarily detected on chromosome 3. In particular, GS3, one of the candidate genes for QTL, significantly influenced quality by affecting 14 different traits, including appearance traits such as head rice and the texture of cooked rice. Furthermore, RILs with the gs3 allele, which exhibited the large grains of ‘Chamdongjin,’ showed a lower protein content and higher amylose content than RILs with the GS3 allele. These lines also had lower head rice percentages and higher percentages of whiteness, opacity, and broken rice, indicating an inferior appearance quality. In terms of pasting properties, RILs with the gs3 allele showed a lower pasting temperature, peak viscosity, and breakdown, but a higher setback than RILs with the GS3 allele. Although the gs3 allele did not affect the glossiness, hardness, or toughness of the cooked rice, it resulted in higher adhesiveness and stickiness. Allelic alteration of the preharvest sprouting gene qLTG3-1 was found to affect seven quality-related traits, including pasting properties. Genes related to heading date (Hd18), culm length (SD1), and tiller number (OsTB1) were also associated with quality-related QTL. Alterations in the alleles of these genes caused variations in quality-related traits. Our identification of the association between quality-related traits and key agronomic genes is expected to support the effective development of rice cultivars with improved quality.

‘Chamdongjin’ is a near-isogenic line with enhanced disease resistance compared to ‘Sindongjin,’ a mega-cultivar in Korea. ‘Younghojinmi’ is the rice cultivar with the highest taste quality among the premium cultivars. This study conducted quantitative trait loci (QTL) analysis on yield-related traits using the recombinant inbred lines derived from a cross between ‘Chamdongjin’ and ‘Younghojinmi’ to elucidate genetic interaction. We utilized KASP markers and a target-capture sequencing SNP genotyping platform to address the insufficient genetic diversity of the population using Korean japonica cultivars. A QTL associated with heading date (HD), qHd8, was detected, and the candidate gene Hd18 was identified. The hd18 allele delayed HD by 3 days and reduced the brown/rough rice ratio (BRR) by 0.3%. QTLs associated with culm length (CL), panicle length (PL), and yield (g/plant), namely qCL1, qPL1_2023, and qYield1_2023, respectively, were detected, and the candidate gene SD1 was identified. The sd1 allele shortened CL and PL by 11 and 0.8 cm, respectively, and reduced the yield by 2.3 g. It also reduced the number of spikelets per panicle (NS) by 10 and decreased the ratio of ripened grains (RRG) by 2.6 %. QTLs associated with 1,000-grain weight (TGW), NS, and BRR, namely qTGW3, qNS3, and qBRR3_ 2023, respectively, were detected, and the candidate gene GS3 was identified. The gs3 allele increased TGW and BRR by 3.8 g and 0.4%, respectively, and reduced NS by 12. It also reduced RRG content by 1.9% and increased the yield by 1.7 g. The QTL associated with the number of panicles per hill (PN), qTN3, and the candidate gene, OsTB1, were identified. The OsTB1^TGTG allele reduced PN by 1.3 and affected the increase in NS and RRG by 10 and 1.4%, respectively. The allele combinations of SD1, GS3, and OsTB1 were analyzed to assess their effects on yield-related traits. NS and RRG were influenced by trait variations, depending on the combination background of other alleles during allele substitution. ‘Jeonju 697,’ an elite breeding line exhibiting improved lodging resistance with shortened CL, was selected by substituting SD1 with sd1 while maintaining the Hd18-gs3-OsTB1^TGTG allele combination of ‘Chamdongjin.’ This is expected to be a practical alternative for addressing the lodging problem in ‘Chamdongjin.’

The grain size and shape have a significant impact on the grain quality and yield of rice. Additionally, due to the globalization of the rice market, there is a demand for rice varieties of various sizes. In this study, we analyzed quantitative trait loci (QTL) associated with grain length (GL), grain width (GW), grain thickness (GT) and ratio of length-to-width (RLW) using 149 F₂ plants obtained from a cross between Hopum and Basmati 370. To construct a linkage map, we utilized 89 Fluidigm SNP markers, which covered a span of 1,116 cM of F₂ population. Nine QTLs associated with four traits were identified on chromosomes 2, 3, 5, and 7. One major QTL on chromosome 3 accounted for 43.2% of the phenotypic variation in GL. Additionally, QTLs named qGW2 and qGW5 on chromosomes 2 and 5 were detected for GW, explaining 10.4% and 18.6% of the phenotypic variation, respectively. Three QTLs for GT were found on chromosomes 2, 5, and 7, explaining 9.9%, 12.9%, and 9.9% of phenotypic variation, respectively. These QTLs offer potential applications in breeding programs using Basmati 370 to develop long and slender grain japonica varieties.

Submergence is becoming a major problem in decreasing rice production. This study conducted a QTL analysis for submergence tolerance on germination stage using 165 recombinant inbred lines (RILs) derived from crosses between ‘Milyang 23’ and ‘Tong 88-7’. An integrated genetic linkage map consisting of 1,313 SNPs was constructed, which covered a total length of 1,254.59 cM, with an average distance of 0.96 cM between adjacent markers. Four QTLs were detected on chromosomes 1, 3, 4, and 7. In qSUB1 and qSUB3, the allele of ‘Tong88-7’ improved survival rates, while in qSUB4 and qSUB7 the allele of ‘Milyang 23’ improved the same. Phenotypic variance explanations for qSUB1, qSUB3, qSUB4, and qSUB7 were 9.44%, 14.62%, 9.74%, and 7.09%, respectively. The average survival rate of the lines with all four QTLs was 93.33±6.67%.

In Korea, black soybeans are traditionally consumed after cooking with rice to supplement protein and oil which are lacking in rice. Seed cooking quality including seed traits after cooking with rice, which is important for consumers, were so far not comprehensively considered during the process of breeding. In this study, we first evaluated seed quality after cooking with rice, we tested the correlation between seed cooking quality and seed water absorption ratio, and we attempted to identify the Quantitative trait locus(QTL)/gene using two recombinant inbred line (RIL) populations, i.e., Daepung × Socheong2 and Daepung × Ilpumgeomjeong. Based on phenotype and correlation analyses, the main factors affecting the hardness of soybeans cooked with rice may differ between RIL population. In the Daepung × Socheong2 RIL population, one QTL associated with seed hardness after cooking with rice was identified on chromosome 11, and Glyma.11g049600, encoding peroxidase, is proposed as a candidate gene. In the Daepung × Ilpumgeomjeong RIL population, two QTLs associated with seed hardness after cooking with rice were identified on chromosomes 7 and 19, one QTL related to seed water absorption on chromosome 3, and Glyma.19g092600 encoding pectin methylesterase inhibitor are proposed as candidate genes. This is the first study on soybean cooking quality after cooking with rice, and the locations of four related QTLs were identified. The results will be of use for future development of high-quality black soybean varieties with high consumer preference using molecular breeding methods.

Interspecific and intersubspecific crosses have been an important strategy for rice breeding programs to obtain useful characters by expanding genetic diversity. However, the wide cross routinely causes undesirable characters in rice, such as spikelet sterility and poor quality. In this study, we developed near-isogenic lines of R-gene (Xa4+xa5+Xa21+Pi40+Bph18) introgression population to investigate the genetic relationship between the occurrence of poor characters and R-genes induced by MAS. The ANOVA analysis revealed that Pi40, Bph18, and Xa4 were associated with spikelet fertility (SF), ratio of ripened grain (RRG), third internode length (TIL), panicle extraction (PE), and protein content (Pro), whereas others showed no association with the 14 traits tested. In the three-way ANOVA, the impact of two R-genes (Pi40 and Bph18) on the poor characters was independent, with no interaction with others. Quantitative trait locus (QTL) analysis identified QTLs for PE and TIL traits near Pi40, and in particular, QTLs for five traits (SF, RRG, TIL, PE, and Pro) were negatively affected around Bph18. The occurrence of a poor character in R-gene pyramiding lines could be associated with linkage drag caused by the Bph18 gene. We speculate that the development of DNA markers that effectively eliminate poor characters will not only improve breeding efficiency using MAS, but will also help improve traits of japonica rice through wide crossing.

The bulb onion (Allium cepa L.), one of the most important vegetables worldwide, contains various functional compounds such as quercetin, allicin, and flavonoids. Red onions are rich in anthocyanins, a flavonoid that is a functional phytochemical with antioxidative and anticancer activities. In the previous study, two quantitative trait loci (QTLs) (qAC4.1 and qAC4.2) controlling the anthocyanin content were identified on chromosome 4 in an F₂ population derived from a cross between A. cepa ‘SP3B’ and ‘H6’. In this study, we developed single nucleotide polymorphism-based high-resolution melting (HRM) markers linked to QTLs qAC4.1 and qAC4.2. In addition, we constructed a new genetic linkage map of chromosome 4 using HRM markers and performed a QTL analysis. The QTL qAC4.1 was false, while qAC4.2 was a major QTL. The QTL peak position, logarithm of the odds value, and phenotypic variance explained of qAC4.2 was 53.6 cM, 7.45, and 22.51%, respectively. Four HRM markers (AC4.2_65336.1_1123-HRM, AC4.2_53230.3_454-HRM, AC4.2_11999.1_756-HRM, and AC4.2_14596.1_345-HRM) within the QTL region of qAC4.2 were developed in this study. The average anthocyanin content of B (homozygous paternal) genotypes was higher than that of A (homozygous maternal) and H (heterozygous) genotypes for all markers. Consequently, these markers will be useful for marker-assisted selection to develop onion cultivars with high anthocyanin content.

Rice doubled haploid (DH) lines derived from crosses of the indica cultivar 93-11 and japonica line Milyang352 were used in genetic mapping and QTL analysis studies of days to heading (DTH), an important trait that controls rice yield and biomass. QTL mapping was conducted using the inclusive composite interval mapping method. We used 234 single-nucleotide polymorphic markers in the whole-genome region, including 100 KASP markers and 134 Fluidigm markers, to construct a genetic map. DH populations were raised in Milyang, Korea, over three different periods. Two major DTH QTLs, qDTH3-1 and qDTH7, were detected under natural conditions in Milyang, and explained 14.88%~24.56% and 24.20%~37.39% of the phenotypic variation, respectively, in 93-11×Milyang352 DH populations. During three different rice cultivation periods, qDTH3-1 and qDTH7 were repeatedly detected with significant logarithm of the odds scores and phenotypic variability explained. The findings of this study will make a valuable contribution to breeding high-yielding and early-maturing rice in Korea.

The
objective
of this study was to identify quantitative trait loci (QTL) of spike length by association analysis with 94 doubled haploid wheat lines derived from Keumkang and Olgeuru. Days to heading date, culm length, spike length, and kernels per spike were evaluated in 2017 and 2018 in upland conditions. Culm length and spike length were biased short culm length and spike length (skewness=0.2 and 1.5, respectively). Kernel number per spike was biased low kernel number per spike (skewness=0.8). A genetic map was constructed with 170 microsatellite marker loci. One QTL was detected for spike length. The QTL on chromosome 4A, qSL-1 was detected by Xwmc283 and Xbarc327 explained 44.3% of the phenotypic variation. The QTL was applied to validate the relationship between genotypes of QTL and 29 Korean wheat cultivars grown for nine years under upland conditions. Korean wheat cultivars were classified into 5 types based on the combination of the two SSR markers. In Korean wheat cultivars, genotype b at Xbarc327, which was homozygous to Keumkang, had a shorter spike length (7.48 cm) than genotype c, which was different from the genotypes of Keumkang and Olgeuru, (8.45 cm). The two Korean wheat cultivars with genotypes ac at Xwmc283 and Xbarc327 had longer spike length (8.45 cm) than genotypes ba and bb (<7.42 cm).

The rice recombinant inbred lines derived from Hanareum2 and Unkwang (HURILs) cross were used in genetic mapping and QTL analysis studies using the inclusive composite interval mapping (ICIM) method. In this study, we constructed the genetic map using 241 SNP markers based on the SNPs in the whole genome region between these varieties. As a result, the total genetic distance and average distances were 1,142 cM and 4.7 cM, respectively. Both heading date and plant height are important traits related to grain yield in rice. Twelve heading date QTLs were detected under natural condition in Korea. A major QTL qDTH3-2 for heading date and qCL1-2 for plant height explained 25.8~27.4% and 30.8~56.9% of the phenotypic variations in the HURIL populations. Four panicle traits, grain number (GN), panicle length (PL), number of panicle per plant (NPP), grain filling ratio (GFR) were evaluated for QTL effects in HURILs population during two years. Results showed that a total of twelve QTLs for GN, PL, NPP, and GFR were detected on chromosome 2, 3, 4, 6, 7, 8. A major QTL qGNP4 for GN was detected in HURIL populations with LOD score 7.7-19.3 and explained 6.7-17.69% of phenotypic variations. Twenty-five QTLs for the four traits TGW, GL, GW, and GT were identified in the HURIL populations for two years (2014~2015). The three QTLs, qTGW8, qGL8-2, and qGW8-2, shared the same interval between id8007093 and id8007764 on chromosome 8 with explained 4.8-4.1%, 4.2-6.8%, and 5.3-10.5% of phenotypic variations, respectively. Furthermore, two QTLs, qTGW3-2 and qGL3-2, were detected in the same chromosomal interval at the same position. These findings will benefit breeding design for development of high yielding variety in rice.

Association analysis was conducted to identify quantitative trait locus (QTL) of yield potential traits, days to heading date, culm length, spike length and kernels per spike in the genetic mapping population (94 F₁₀ recombinant inbred line) produced from a cross between two Korean wheat cultivars, Taejoong which has a large kernel number line, a longer spike length, and a higher kernel number per spike and Keumkang. Yield potential traits, days to heading date, culm length, spike length and kernels per spike were evaluated in 2017 and 2018 under upland conditions. Days to heading date were biased toward late heading date (skewness=-0.3), and spike length was biased toward short spike length (skewness=0.7). A genetic map was constructed with 57 microsatellite marker loci and two QTLs were detected for spike length. The first QTL on chromosome 2A, qSL-1 was detected by Xcfd5 and Xpsp3050 and explained 20.7% of phenotypic variation. The second QTL on chromosome 5B, qSL-2 was detected by Xwmc656 and Xwmc415 and explained 40.8% of phenotypic variation. These QTLs were applied to validate the relationships between genotypes of QTLs and 29 Korean wheat cultivars cultivated for nine years, from 2010 to 2018. The Korean wheat cultivars were classified into 6 types according to the genotypes of Xcfd5-Xpsp3050 and Xwmc656-Xwmc415. The same genotypes as Keumkang showed a higher frequency and shorter spike length than that of Taejoong in Korean wheat cultivars.

An interspecific cross between P. citriodora and P. hirtella constitutes ideal material for a linkage map construction in genome project of Perilla. The chromosomes of the species are same with n=10 and progenies of the cross are normal in growth and seed set. The phenotype of F2 population of the cross are normally distributed and this is a proof of high affinity of the chromosomes during their sexual reproduction. Rosmarinic acid, Luteolin and Apigenin contents of F2 plants were distributed in similar range with tetraploid perilla cultivars. Luteolin and Apigenin are positively correlated with correlation coefficient of 0.762. 21 QTLs were detected in agronomic traits and Rosmarinic acid, Luteolin and Apigenin contents. Even though Luteolin and Apigenin are positively correlated, QTLs were located in different position. Purple leaf color related QTL was mapped in Chromosome 3 with LOD of 14.3, PVE of 50.4%. Three anthocyanin biosynthesis transcription factor like sequences, WD40 repeat-like superfamily protein, myb domain protein 43 and basic helix-loop-helix (bHLH) DNA-binding superfamily protein, were detected near from the QTL.

The rice recombinant inbred lines derived from Milyang23 and Gihobyeo cross were used in genetic mapping and QTL analysis studies. In this study, we developed a new 101 CAPS markers based on the SNPs in the whole genome region between these varieties. As a result, the total genetic distance and average distances were 1,696.97 cM and 3.64 cM, respectively. In comparison to the distance of the previous genetic map constructed based on 365 DNA markers, the new genetic map was found to have a decreased distance. The map was applied for the detection of QTLs on all seven traits relevant to diameter of stem internode, length of culms, length of panicles and the number of panicles including the correlation analysis between each trait. The QTLs results were similar to the report in previous studies, whereas the distance between the markers was narrowed and accuracy increased with the addition of 101 CAPS markers. A total of 9 new QTLs were detected for stem internode traits. Among them, qI1D-6 had higher LOD of 5.1 and phenotype variation of 50.92%. In this experiment, a molecular map was constructed with CAPS markers using next generation sequencing showing high accuracy for markers and QTLs. In the future, developing more accurate QTL information on stem internode diameters with various agriculturally important traits will be possible for further rice breeding.

Seed dormancy is an important adaptive mechanism to protect seeds under the unfavorable environments. Unlike to wild type species, the seed dormancy trait of cultivated crops has been weakened by breeding programs during the domestication period. Weak seed dormancy often causes preharvest sprouting (PHS) problem in many cereal crops that result in significant economic loss. The seed dormancy is a quantitative trait loci (QTL) controlled by multiple genetic and environmental factors. So far, many QTLs for seed dormancy have been identified from rice and wheat as well as in the model plant Arabidopsis. Unveiling of QTL genes and complex mechanisms underlying seed dormancy is accelerated by the rapid progress of crop genomics. In the present study, we reviewed current status of research progress on the seed dormancy QTLs and correlated genes in Arabidopsis and cereal crops.