To improve resistance to planthoppers and viral diseases, a new rice cultivar named ‘Drimi9ho’ was established. The F₁ population, derived from a cross between ‘Cheongcheong’ and ‘Nagdong’, was subjected to anther culture. Subsequent generations were advanced in the field under high selection pressure for agronomic traits and disease resistance. Ultimately, the line ‘CNDH-AC63-2-2-2-1’ was selected through the pedigree method and was named ‘Drimi9ho’ after undergoing yield trials and local adaptability tests. ‘Drimi9ho’ has a heading date of August 13, which corresponds to 107 days after sowing, making it a mid-late maturing variety that heads 3 d later than ‘Cheongcheong’. The culm length of ‘Drimi9ho’ is 57.3 cm, which is 15 cm shorter than that of ‘Cheongcheong’. This reduced culm length contributes to improved tolerance to field lodging. In addition, ‘Drimi9ho’ exhibits acquired resistance to rice black-streaked dwarf virus through introgression from ‘Nagdong’. Compared to ‘Cheongcheong’, ‘Drimi9ho’ shows lower protein content and higher amylose content, which resulted in a higher score for cooked-rice palatability. ‘Drimi9ho’ shows improved milling performance compared to ‘Cheongcheong’. The 1,000-grain weight of ‘Drimi9ho’ is 22.12±0.8 g, which is heavier than that of ‘Cheongcheong’ (19.42±0.8 g). The milled rice yield of ‘Drimi9ho’ is 546.6±3.8 kg/10a, representing a 4.7% increase compared to ‘Cheongcheong’ (522.2±5.8 kg/10a). However, ‘Drimi9ho’ is resistant only to bacterial leaf blight race K₁; thus, timely disease management is required to control other races such as K₂, K₃, and K_3a (Registration No. 10610).

Wheat (Triticum aestivum L.) is a major cereal crop grown worldwide, providing approximately 20% calorie and 25% protein intake. Wheat productivity is significantly affected by high temperatures, particularly during the grain-filling period. Heat stress accelerates leaf senescence, impairs photosynthesis, reduces starch accumulation, and alters protein synthesis, ultimately leading to a decrease in grain yield and quality. To mitigate the adverse effects of heat stress, wheat utilizes adaptation mechanisms, including the expression of heat shock proteins, activation of antioxidant defense systems, osmotic regulation, and transcription factor-mediated gene regulation. Stay-green traits also play a role in maintaining photosynthetic efficiency at high temperatures. Breeding strategies such as traditional breeding, marker-assisted selection , genomic selection , and genome editing are being explored to improve heat tolerance. Recent advances in the CRISPR-Cas9 technology enable precise gene editing, thereby enhancing the resilience of wheat to heat stress. Additionally, quantitative trait locus mapping and genome-wide association studies facilitated the identification of genetic regions associated with heat tolerance, thereby accelerating the development of climate-resilient wheat varieties. Future research should focus on integrating genetic and molecular approaches with sustainable agronomic practices and crop modeling strategies to optimize wheat productivity under rising temperatures. The integration of advanced breeding techniques and improved crop management can facilitate the development of wheat varieties that are more resilient to climate change.

Citations

Citations to this article as recorded by  

• Evaluation of Wheat’s (Triticum aestivum L.) Agronomic and Grain Traits and Protein and Starch Characteristics Under Cultivation Environments in Korea
  Hyeon-Seong Yoo, Hyun-Jin Jung, Na-Yun Lee, Eun-Chae Bae, Eun-Bin Hwang, Eun-Seong Baek, Se-Jin Oh, Yu-Mi Lee, Sang-Cheol Gwak, Moon-Sub Lee, Seong-Woo Cho, Tae-Young Hwang
  Agriculture.2026; 16(11): 1131.     CrossRef

‘Amissal’ is a regionally specialized rice cultivar developed to strengthen the competitiveness of local rice and is characterized by its distinct long-grain japonica type. It was bred through a single backcross between ‘Boramchan’—a high-yielding japonica cultivar with excellent cultivation stability used as the recurrent parent—and ‘HR30198-AC33’ (DGS79), a breeding stock with extra-long and spindle-shaped grains used as the donor parent for japonica grain shape diversification. Population and pedigree breeding methods were used during the breeding process. During the selection stage, molecular marker-assisted selection targeting the major grain shape genes, GS3 and qSW5 was applied, enabling the identification of lines carrying the gs3-qSW5 allele combination associated with long grain shape. ‘Amissal’ was developed through yield trials, local adaptability tests, selection trials addressing regional needs, and on-farm research aimed at developing long-grain japonica rice for export. The heading date of ‘Amissal’ was August 17, two days later than that of ‘Nampyeong’. Compared to ‘Nampyeong’, ‘Amissal’ exhibited greater biomass due to longer culms, more spikelets per panicle but fewer panicles per hill, and a heavier 1,000-grain weight. It demonstrated strong resistance to bacterial blight (races K1, K2, and K3) but was susceptible to viral diseases and insect pests. In terms of yield, it outperformed ‘Nampyeong’. The average brown rice grain length was 6.14 mm, classifying it as long-grain type. The length-to-width ratio was 2.43, corresponding to a semi-spindle shape, which clearly distinguishes it from existing Korean japonica cultivars. While its milling recovery rate was similar to that of ‘Nampyeong’, a high proportion of broken rice due to its long grain shape resulted in a lower head rice. ‘Amissal’ had low protein content and provided the sticky and soft texture typical of japonica rice, with excellent scores in sensory evaluation tests. As a differentiated, regionally specialized rice cultivar featuring a long-grain japonica type and superior eating quality, ‘Amissal’ is expected to contribute to the advancement of the local rice industry, particularly through applications in rice export and the utilization of broken rice and rice straw (Registration No. 10167).

Citations

Citations to this article as recorded by  

• Sukwang1: A Premium-Quality, Mid-late Maturing Rice Cultivar with Improved Resistance to Shattering and Bacterial Blight
  Chang-Min Lee, Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, O-Young Jeong, Ji-Ung Jeung, Ki-Young Kim, Keon-Mi Lee, Jung-Pil Suh, Su-Keyong Ha, Mina Jin, Hyun-Sook Lee, Kyeongmin Kang, Gileung Lee
  Korean Journal of Breeding Science.2026; 58(3): 321.     CrossRef

Male sterility is used to mass-produce F₁ hybrid seeds in pepper (Capsicum annuum L.). In particular, the development of genetic male sterility (GMS)-linked molecular markers may play a crucial role in hybrid breeding of pepper. To date, approximately 20 GMS genes have been identified in pepper. Among these, several molecular markers for the ms₃ gene have been developed in previous studies; however, they are not completely linked and thus have limitations for use in selection. Therefore, in the present study, we aimed to develop molecular markers for ms₃ selection using single-nucleotide polymorphism (SNP)-based high-resolution melting (HRM) analysis. Chi-square test was conducted using three F₂ segregating populations, and the results confirmed a 3:1 segregation ratio between male-fertile and male-sterile plants. A total of 128 primer sets were designed by selecting SNPs near the ms₃ gene, and 25 HRM markers were successfully developed. Using 420 individuals from the F₂ segregating population ‘GMS3,’ a high-density genetic linkage map of pepper chromosome 1 was constructed, with eight HRM markers found to be co-segregated with the ms₃ gene. Subsequent experiments using various plant materials validated these eight markers, ultimately identifying two HRM markers, HRM119655681 and HRM135273656, for the final selection. These two markers showed co-segregation between the phenotype and genotype of ms₃ across all plant materials used in the study. The markers developed in this study are expected to be effective for maternal line development and large-scale F₁ hybrid seed production using ms₃ in pepper.

A comprehensive evaluation of 515 Korean wheat germplasms, including cultivars, experimental lines, and landraces, was conducted over 2 years under upland field conditions to characterize major agronomic and grain traits. Allelic variation at 13 key functional loci was assessed using Kompetitive Allele-Specific PCR (KASP) and PCR-based markers. The winter-type vrn-A1 with a single copy (CNV=1; 40.2%) advanced heading by approximately 5 days compared to multiple-copy genotypes, and winter-type vrn-B1 (88.5%) advanced heading by 2 days compared to the spring-type. The photoperiod-insensitive alleles Ppd-B1a (5.6%) and Ppd-D1a (76.3%) advanced heading by 3 and 4 days, respectively, with a combined effect of up to 6 days. Semi-dwarfing alleles Rht-B1b and Rht-D1b showed reduced culm lengths of 2.1 cm and 4.7 cm, respectively, and the Rht-B1a/Rht-D1b genotype was 6 cm shorter than Rht-B1a/Rht-D1a. The Pina-D1a/Pinb-D1a genotype had the lowest kernel hardness value (32.2), whereas Pina-D1b/Pinb-D1a had the highest (60.5). The thousand kernel weight ranged from 36.1 mg to 42.5 mg depending on the allelic combinations of TaCwi-A1, TaGW2-6A, and TaSus2-2B. Cultivars and experimental lines were clearly distinguished from landraces based on phenotype-based clustering, with the majority of cultivars (81.6%) and experimental lines (68.3%) grouped into cluster III. In contrast, landraces were predominantly distributed in clusters I (55.1%) and II (29.2%). Random forest analysis identified four genes, Ppd-D1, Pina-D1, Pinb-D1, and WAPO-A1, as major contributors to cluster classification. Cluster III was highly enriched with alleles favorable for earliness (Ppd-D1a, 98.3%) and grain hardness (Pina-D1b and Pinb-D1b, 57.9%). WAPO-A1b, an allele associated with an increased spikelet number per spike, was more frequently observed in clusters I (94.6%) and II (79.1%) than in cluster III (58.4%).

Citations

Citations to this article as recorded by  

• GWAS identifies major loci for agronomic and yield-related traits in wheat through cross-population validation
  Sumin Hong, Jae-Han Son, Chon-Sik Kang, Changhyun Choi, Youngjun Mo, Jae Yoon Kim, Dae Yeon Kim, Kyeong-Min Kim, Chul Soo Park
  Journal of Integrative Agriculture.2026;[Epub]     CrossRef
• Inter‐annual and regional variability of agronomic and grain quality traits of major Korean wheat cultivars under multi‐environmental conditions
  Goeun Lee, Jinhee Park, Kyeong‐Min Kim, Chon‐Sik Kang, Sookjin Kim, Jeong‐Heui Lee, Hyun‐jin Jung
  Journal of the Science of Food and Agriculture.2026; 106(12): 7512.     CrossRef
• Heading Responses to Vernalization and Photoperiod and Canopy Development in Wheat Genetic Resources with Different VRN1 and PPD1 Genotypes
  Ju-Young Choi, Chang-Hyun Choi, Junseok Choi, Myoung-Goo Choi, Chang-Hyun Lee, Hwangbae Sohn, Chon-Sik Kang, Jae-Han Son
  Agriculture.2026; 16(20): 2295.     CrossRef

In the present study, we conducted a detailed analysis of the genetic diversity and structural organization of 96 domestic Korean rice varieties (Oryza sativa L.) using 2,565 high-resolution TCS-based single nucleotide polymorphism (SNP) markers. Genetic structural variations were investigated using diversity indices, PCA, genetic similarity, and network analysis. Genetic diversity analysis revealed a significant expansion of the genetic foundation after the 1980s, marked by a sharp increase in the number of alleles (Na) from the 2000s. Despite this, high genetic homogeneity was maintained, with an average similarity of 77.7%. The observed 10% difference among same-cross varieties suggests that critical genetic variations are fixed by strong selection pressures for quality traits. Network analysis (85% similarity threshold) confirmed that the Korean rice breeding population followed a distinct core-periphery model (eight communities). The connected 84 varieties had a centrality range of 0.01 0.39. Core Variety Groups (e.g., ‘Junam’ and ‘Sindongjin’) exhibited the highest centrality (up to 0.39), indicating their extensive use as key breeding parents and their function as the central axis of the genetic network. Bridge Variety Groups (e.g., ‘Hwayeong’ and ‘Samkwang’) played an intermediary role linking clusters. Crucially, 12 ‘isolated accessions’ showed zero centrality (0.00), representing a genetic disconnect from the main pool. This quantitative network-based assessment provides essential fundamental data for breeders to select appropriate germplasms. Furthermore, the findings suggest that the current cultivar naming system, which inadequately reflects genetic relationships, requires reassessment, and that the establishment of objective management standards based on this research is warranted.

Citations

Citations to this article as recorded by  

• QTL Analysis for Heading Date and Yield-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Koshihikari’ and ‘IS592BB’
  Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, Keon-Mi Lee, O-Young Jeong
  Korean Journal of Breeding Science.2026; 58(2): 147.     CrossRef
• Sukwang1: A Premium-Quality, Mid-late Maturing Rice Cultivar with Improved Resistance to Shattering and Bacterial Blight
  Chang-Min Lee, Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, O-Young Jeong, Ji-Ung Jeung, Ki-Young Kim, Keon-Mi Lee, Jung-Pil Suh, Su-Keyong Ha, Mina Jin, Hyun-Sook Lee, Kyeongmin Kang, Gileung Lee
  Korean Journal of Breeding Science.2026; 58(3): 321.     CrossRef

‘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)

Deep learning has gained considerable interest in agricultural breeding research. While advances in sequencing technologies have made genotypic data collection easier in genomic breeding, phenotypic data collection remains labor intensive and time consuming. Furthermore, as traditional phenotypic data collection relies heavily on manual processes, the results may vary based on the researcher’s skill and criteria. Thus, automated phenotypic data collection is essential for addressing these challenges. In this study, we aimed to develop a deep learning model using the YOLOv8 framework to measure the lengths of hypocotyls and roots in sprout vegetables such as mung bean, cowpea, and soybean. Our model automates the measurement process, accurately identifies the hypocotyl and root using Roboflow, and subsequently measures their lengths with high precision in various legume species. This approach addresses the challenges of extensive phenotypic data collection, which is essential for genetic breeding and agricultural improvement. Our deep learning model facilitates consistent and accurate data collection in large-scale studies by controlling variables influenced by the researcher’s skills and criteria. This reduces errors and enhances data reliability and accuracy, which are crucial for successful breeding practices and agricultural research.

Citations

Citations to this article as recorded by  

• Machine Learning Method to Select Single Nucleotide Polymorphism Markers for Protein Content, Grain Filling Rate, Height, and Panicle Length in Korean Rice
  Jeong-Gu Kim, Minwoo Kim, Gyu-Hwang Park, Jinhyun Kim, Jinho Jung, Tae-Ho Lee
  Korean Journal of Breeding Science.2025; 57(4): 403.     CrossRef

A new soybean [Glycine max (L.) Merr.] cultivar, ‘Dadrim,’ was developed by the National Institute of Crop and Food Science (NICS). ‘Dadrim’ is characterized by its superior suitability for tofu processing and high adaptability to mechanized cultivation. This cultivar ‘Milyang374’ was developed using the pedigree method from an artificial cross made in 2012 between ‘Milyang231’ and ‘Chamol.’ Its agronomic characteristics and production stability were verified through regional adaptation trials conducted over three years (2020- 2022). ‘Dadrim’ exhibits a determinate growth habit, white flowers, and spherical seeds with a yellow seed coat and yellow hilum. It is a large-seeded variety with a 100-seed weight of 30.9 g. As a late-maturing variety, it reaches maturity around October 22. Despite a relatively short plant height, it features a high first pod height of 16 cm, making it advantageous for mechanical harvesting. ‘Dadrim’ is resistant to bacterial pustule and soybean mosaic virus and possesses excellent lodging resistance. Notably, ‘Dadrim’ demonstrates a high tofu yield of 283%, which is 67% points higher than ‘Daewonkong’. The resulting tofu has a soft texture, making it suitable for soft and silken tofu. It also received high preference scores for taste and texture in sensory evaluations. ‘Dadrim’ yielded 3.37 tons/ha, an 8% increase compared to ‘Daewonkong.’ This new variety is expected to increase farm income and advance the domestic tofu industry (Registration No. 10461).

‘SuperHani’ is a sesame (Sesamum indicum L.) cultivar characterized by high lignan content and a non-shattering trait. It was developed in 2022 through a cross between ‘Suwon195’ and ‘YCS71’. This cultivar has a highly branched triple-capsule growth type, with 117 capsules per plant and a 1,000-seed weight of 2.0 g. Field evaluations revealed non-shattering traits, with seeds not falling even after the capsules were split open, indicating suitability for mechanical harvesting. Seed quality analyses demonstrated a total lignan content of 14.8 mg/g, with total polyphenol and flavonoid contents as well as antioxidant activities being significantly higher than those of the control. In regional adaptability trials, the average yield was 120 kg/10a, approximately 90% that of ‘Geonbaek’, but this difference was not statistically significant. These results suggest that ‘SuperHani’ is a mechanically harvestable cultivar that combines non-shattering traits with high levels of functional compounds. This has the potential to contribute to labor savings and the production of high-value sesame (Registration No.10316).

Global climate change has intensified droughts and other extreme weather conditions, leading to serious declines in agricultural productivity. Genetically modified (GM) soybeans with drought tolerance have been developed to enhance crop resilience. Prior to commercialization, GM crops must undergo compositional equivalence assessments to confirm that no unintended compositional differences exist compared to their non-GM counterparts. In this study, we evaluated the nutritional and compositional equivalence of two drought-tolerant GM soybean lines (DIAT7 and DIAT15) compared to their non-GM parental line (Williams 82) and three reference cultivars (Kwangan, U13625, and U14511). Soybeans were cultivated under identical field conditions, and proximate components, amino acids, fatty acids, minerals, and antinutritional factors were analyzed using standard methods. Although several analytes exhibited statistically significant differences (p<0.05), all compositional values for DIAT7 and DIAT15 were within the natural variation ranges of the reference cultivated with GM, OECD (2012), and the AFSI Crop Composition Database (v10.1). The GM lines showed protein (36-37%), lipid (19-21%), and total dietary fiber (24-27%) contents similar to those of the reference cultivars. Amino acid profiles were dominated by glutamic acid and aspartic acid, whereas linoleic acid (42-51%) and oleic acid (29-36%) were the major fatty acids, consistent with conventional soybeans. The levels of minerals and antinutrients, including raffinose, stachyose, and phytic acid, were also comparable to the reference ranges. These findings demonstrate that the drought-tolerant GM soybeans DIAT7 and DIAT15 are compositionally and nutritionally equivalent to non-GM soybeans, supporting their substantial equivalence and providing a scientific basis for food and environmental safety evaluation.

Improving nitrogen use efficiency (NUE) is essential for sustainable wheat production, given the global demand for high-yielding and environmentally resilient crop varieties. NUE is a complex trait governed by multiple genetic, physiological, and environmental factors. This review synthesizes recent advances in the genetic dissection of NUE in wheat, focusing on quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and transcriptome analyses. Furthermore, novel approaches such as protein turnover quantification, epigenetic regulation, NIR-based quality prediction, and genomic selection optimization are discussed as emerging strategies to enhance NUE. Key genes identified include nitrate transporters (NRT1, NRT2), nitrogen assimilation enzymes (GS, GOGAT), transcription factors (NLPs, WRKYs, NACs), and signal transduction components (SnRK, CIPK). Integrative studies combining genomics, transcriptomics, and machine learning offer new insights into the dynamic regulation of NUE. This review highlights the importance of multi-layered breeding approaches and provides valuable genetic resources and methodological frameworks for future wheat NUE improvement programs.

Citations

Citations to this article as recorded by  

• Determination of Optimal Nitrogen Application Rates to Enhance Heat Stress Tolerance in Autumn Radish (Raphanus sativus L.) Using OJIP Transient Analysis
  Tae Seon Eom, Tae Wan Kim, Sung Yung Yoo
  Nitrogen.2026; 7(2): 47.     CrossRef
• Water and leaf nitrogen use efficiency at photosynthesis in wheat under different conditions of mineral nutrition
  I.M. Sheheda, N.V. Sandetska, D.A. Kiriziy
  Fìzìologìâ roslin ì genetika.2025; 57(5): 426.     CrossRef

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.

Wheat is a fundamental staple crop worldwide, contributing significantly to global food security due to its versatility and nutritional value. However, gluten proteins, including gliadins and glutenins, have been implicated in various health problems, such as celiac disease, non-celiac gluten sensitivity, and wheat allergies. These disorders affect a wide variety of people globally, creating demand for wheat varieties that balance high-end-use quality with reduced immunogenic potential. This review examines the molecular and genetic mechanisms that regulate gluten protein synthesis, highlighting recent advances in genomic and mutagenic approaches aimed at modifying gluten proteins to enhance the health and quality traits of wheat. Technologies such as RNAi and CRISPR/Cas9 offer promising avenues for reducing wheat immunogenicity without compromising its functional properties in food production. This study also examines the challenges and prospects of utilizing these genetic tools to develop wheat varieties that achieve the dual objectives of enhanced health outcomes and high product quality.

Citations

Citations to this article as recorded by  

• Quality characteristics of lean bread with partial substitution of wheat flour by ‘Baromi2’ rice flour
  Hyeong Seop Kim, Sung Huo Kim, Yeong Eun Kim, Seok Ho Son, Sung Hoon Park
  Food Engineering Progress.2025; 29(4): 276.     CrossRef