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국내에서 재배되고 있는 통일형 찰벼 가공 특성 및 Granule-bound starch synthase I 유전형 비교

장성규1, 김지민1, 이지윤2, 조준현1, 권영호1, 이소명1, 최지수1, 강주원1, 정종민1, 이종희1, 박동수1, 권순욱3, 조수민1,*

Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele

Korean Journal of Breeding Science 2026;58(2):123-134.
Published online: June 1, 2026

1국립식량과학원 밭작물개발부 경지이용작물과

2농촌진흥청 국립식량과학원 기획조정과

3부산대학교 식물생명과학과

1Field Crop Research Division, National Institute of Crop Science, RDA, Miryang 50424, Republic of Korea

2Planning and Coordination Division, National Institute of Crop Science, RDA, Jeonju, 55365, Republic of Korea

3Department of Plant Bioscience, Pusan National University, Miryang 50463, Republic of Korea

*Corresponding to Sumin Jo TEL. +82-55-350-1164 E-mail. tnals88319@korea.kr
• Received: March 15, 2026   • Revised: April 10, 2026   • Accepted: April 28, 2026

© 2026, Korean Society of Breeding Science

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the o rig inal work is properly cited.

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  • Research on tongil-type rice has aimed to enhance genetic diversity and yield through indica-japonica hybridization; however, poor eating quality remains a limitation in Korea. We evaluated three high-yielding tongil-type waxy cultivars, focusing on the allelic variation in the granule-bound starch synthase I (GBSSI) gene and its effects on quality traits. Physicochemical properties, including texture and retrogradation, were assessed using a texture analyzer, and pasting properties were analyzed using a Rapid Visco Analyzer (RVA). ‘Hanareumchal’ showed the softest texture (1.70 Kgf) and the slowest retrogradation rate. Genetic analysis revealed a unique Wx-g2 allele derived from Japanese waxy rice (‘Odorokimochi’), which likely underlies these favorable traits. RVA profiling further indicated reduced viscosity parameters, supporting its suitability for processed rice products that require extended shelf life and texture stability. These findings highlight the role of Wx-g2 in improving tongil-type waxy rice and provide useful insights for breeding programs targeting enhanced processing performance.
Rice (Oryza sativa L.) is a staple food for nearly half of the world’s population and serves as both a dietary essential and a cultural-economic foundation (Seck et al. 2012). As national income rises and dietary preferences diversify, the demand for high-quality and diverse rice-based products has increased markedly, creating a pressing need for innovations in rice breeding to meet both consumer expectations and industrial requirements (Choi 2002, Lee et al. 2018, Lee et al. 2020, Lee et al. 2021, Oh 2016). Beyond traditional dishes, rice is now widely utilized in value-added products such as noodles, rice milk, ice cream, beverages, and functional foods (Cho et al. 2018, Karimidastjerd & Kilic-Akyilmaz 2021, Li et al. 2021, Seong et al. 2022, Seong et al. 2023, Shin et al. 2016). Globally, research has increasingly focused on enhancing retrogradation stability and textural consistency for frozen and ready to eat products. However, most studies have centered on japonica or indica types, leaving tongil-type waxy rice largely unexplored in terms of processing suitability.
Waxy rice, characterized by low amylose and high amylopectin content, is indispensable for traditional food production due to its soft texture, stickiness, and slow retrogradation (Park & Kim 2023, Shi & Gao 2011, Wang et al. 2022, Xie et al. 2022). Nevertheless, waxy rice cultivars differ widely in their eating and processing qualities, influenced by physicochemical traits such as alkali digestion value, gel consistency, and starch gelatinization temperature (Loyda et al. 2021).
In Korea, demand for rice used in food processing surged from 680,000 tons in 2021 to 810,000 tons in 2023 (KSIS 2024), yet many processing cultivars suffer from low yield potential, limiting their cost competitiveness. tongil-type rice, developed through inter-subspecific crosses between indica and japonica, yields approximately 30% more than traditional japonica cultivars and is thus a promising candidate for industrial applications (Bresciani et al. 2022, Kim et al. 2014).
At the molecular level, the granule-bound starch synthase I (GBSSI) gene plays a pivotal role in determining amylose content and starch retrogradation behavior (Adeva et al. 2020, Bao et al. 2020). Rare allelic variants of GBSSI are uncommon but can significantly modify starch structure, thereby influencing both eating quality and processing stability. Identifying such an allele in a high yield tongil-type waxy cultivar is of particular breeding value, as it combines desirable yield performance with unique starch functionality. This genetic resource has the potential to lower raw material costs, enhance the competitiveness of rice based food products, and expand opportunities for domestic and export markets.
In this study, we characterize the physicochemical properties, quality traits, and GBSSI allelic variation of three tongil-type waxy rice cultivars. By linking a rare GBSSI allele to starch functionality and processing performance, we aim to provide a genetic and functional basis for developing high yield, processing optimized waxy rice cultivars, thereby supporting the sustainable growth of the rice based food industry.
Experimental Materials
Four rice cultivars were used to evaluate quality traits and GBSSI genotypes in tongil-type waxy rice. Three tongil-type waxy cultivars (‘Mirchal’, ‘Hangangchal 1’, and ‘Hanareumchal’) were tested, with the japonica waxy cultivar ‘Baegokchal’ included as a control. Grain samples were produced by the Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration (Miryang, Republic of Korea).
Visual Appearance and Amylose and Protein Content
Color parameters were measured on milled white rice using a bench-top spectrophotometer (CM-3500d; Minolta, Tokyo, Japan) in triplicate (n=3). Milled white rice were evenly spread to fully cover the measurement aperture, and the instrument was calibrated with standard tiles prior to measurement. The color parameters were measured using the CIE Lab system, where L represents lightness, a represents redness/greenness, and b represents yellowness/blueness. A higher L value indicates a lighter color, while lower a and b values indicate lower red and yellow tones, respectively.
Amylose was determined by the Juliano colorimetric method with three technical replicates (Juliano 1985, Tuaño et al. 2021). Briefly, 0.1 g of rice flour was combined with 1 mL ethanol and 9 mL 1 N NaOH (Sigma-Aldrich, St. Louis, MO, USA), heated in a water bath for 10 min, and diluted to 100 mL with distilled water. A 5 mL aliquot of this solution was mixed with 1 mL acetic acid and 2 mL of 2% I2-KI solution (Sigma-Aldrich, St. Louis, MO, USA), and the volume was adjusted to 100 mL with distilled water. Absorbance was read at 620 nm on a UV-visible spectrophotometer (UV-2700, Shimadzu, Kyoto, Japan). Amylose percentage was calculated from a standard calibration curve.
Protein content was measured using a near-infrared spectrometer (FOSS XDS Rapid Content Analyzer; Foss, Hillerød, Sweden), with 0.6 g of rice flour placed in a measurement container, and spectra were measured in the visible and near-infrared range (400-2,500 nm) after removing air gaps. Measurements were performed in triplicate.
Evaluation of Cooked Rice Texture Characteristics
The texture characteristics of cooked rice were measured using the Cooked Rice Taste Analyzer (RHS1A, SATAKE Company, Tokyo, Japan). Cooked rice (8 g) was placed in the measurement container, covered with plastic film to minimize moisture loss, and compressed under a constant load for 10 s. Hardness, viscosity, balance, and elasticity were recorded. Each measurement was performed five times (n=5) and expressed in kilogram-force (kgf). The instrument was operated and calibrated according to the manufacturer’s instructions.
Pasting Property Analysis
The pasting properties of starch were measured using a Rapid Visco Analyzer (RVA-4500; Perten Instruments, Hägersten, Sweden). The moisture content of the samples was measured using an infrared moisture analyzer (MS-70; A&D Company, Tokyo, Japan), and appropriate amounts of sample and distilled water were used to measure pasting properties. The measurement protocol was as follows: 0-1 min at 50℃, 1-4.7 min increasing to 95℃, 4.7-7.2 min holding at 95℃, 7.2-11 min cooling to 50℃, and 11-13 min holding at 50℃. Pasting temperature (PT), peak viscosity (PV), trough viscosity (TV), final viscosity (FV), breakdown (BD=PV-TV), and setback (SB=FV-TV) were calculated, with viscosity expressed in rapid viscosity units (RVU). Each sample was analyzed in triplicate.
Retrogradation Rate Measurement
Retrogradation of cooked rice was evaluated by texture profile analysis using a texture analyzer (Z0.5, Zwick GmbH & Co. KG, Ulm, Germany) equipped with a 50-mm aluminum cylindrical probe. A three-bite (three-cycle) compression protocol was applied. Cooked rice (8 g) was molded into cylinders (3 cm diameter × 1 cm height), covered with plastic film to minimize moisture loss, and pre-loaded under a constant pressure for 10 s prior to testing. Test parameters were: pre-test speed 1 mm s-1, test speed 1 mm s-1, hold time 2 s, and target strain 60%. Hardness was obtained from the texture profile curve. For retrogradation assessment, molded samples of ‘Baegokchal’, ‘Mirchal’, and ‘Hanareumchal’ were kept at room temperature (~25 °C) for 12 h, and texture (including hardness) was recorded at 3 h intervals to track retrogradation progression. Unless otherwise specified, five repeated measurements (n=5) were collected per time point.
Genotype Comparison of granule-bound starch synthase I
Sanger sequencing was performed to compare GBSSI genotypes among four rice cultivars (‘Hanareumchal’, ‘Mirchal’, ‘Hangangchal 1’, and ‘Baegokchal’) with the japonica cultivar ‘Nipponbare’ used as the reference sequence (Sanger et al. 1977, Song et al. 2011, Song et al. 2013, Seong et al. 2022). Genomic DNA was extracted using the yesG™ Plant DNA Extraction Kit (GenesGen, Busan, Republic of Korea). Polymerase chain reaction (PCR) primers were designed to amplify the coding sequence (CDS) region of GBSSI. PCR products were purified and sequenced by BioTo Co., Ltd. (Daejeon, Republic of Korea) using forward and reverse primers. Resulting chromatograms were inspected, base calls were edited as needed, and sequences were assembled and aligned using CodonCode Aligner (v12.0, CodonCode Corporation). Multiple sequence alignment against the ‘Nipponbare’ reference enabled identification of polymorphisms among cultivars, including single nucleotide polymorphisms (SNPs) and small insertions/deletions (InDels).
Statistical Analysis
Descriptive statistics, post-hoc analysis (Duncan’s multiple range test), and principal component analysis were performed using R (Version 4.3.1, The R Foundation for Statistical Computing Platform). The ‘agricolae’ package was used for post-hoc analysis, and the ‘ggplot2’ package was used for data visualization. All grain samples were harvested in bulk from representative experimental plots to ensure a uniform population sample. For physicochemical and pasting property analyses, measurements were performed in at least three independent replicates starting from sample preparation to account for experimental variability.
Physicochemical and Textural Properties of tongil-type Waxy Rice Cultivars
Asian rice cultivars are classified into two major subspecies, indica and japonica, based on their morphological and physiological characteristics and geographical distribution (Morishima & Oka 1981, Sano & Morishima 1992). tongil-type rice, a hybrid developed from the cross between indica and japonica, was primarily designed to increase genetic diversity and promote hybrid vigor. However, introducing desirable indica traits into japonica cultivars has proven challenging due to reproductive barriers and the transfer of undesirable traits, such as poor eating quality. This issue is particularly significant in Korea, where consumers prefer japonica rice (Bresciani et al. 2022, Chung & Heu 1991, Kim et al. 2014).
Generally, lower amylose and protein content are associated with better eating quality. In this study, we assessed the visual, chemical, and textural properties of three tongil-type waxy cultivars compared to a japonica control. Visual appearance is a key factor in consumer assessment, with higher lightness (L) and lower redness (a) and yellowness (b) values being preferable. ‘Hanareumchal’ showed the highest lightness (81.37) and the lowest redness (-0.32) and yellowness (13.08), indicating a brighter, more neutral, and visually appealing appearance comparable to the ‘Baegokchal’ control (Table 1, Fig. 1). Chemically, ‘Mirchal’ had the highest amylose (6.80%) and protein (6.24%) content, while ‘Hanareumchal’ showed intermediate levels (6.14% amylose, 6.15% protein), which were slightly higher than the ‘Baegokchal’ control (5.82% amylose, 5.84% protein) (Table 1).
Despite tongil-type cultivars often having similar or lower amylose content than japonica cultivars, their sensory evaluations have consistently been less favorable (Lee et al. 2014). This is largely attributed to differences in starch composition and cooked texture. Our analysis of cooked rice texture revealed that ‘Hanareumchal’ was significantly softer (1.70 kgf) than the other tongil-type cultivars, ‘Mirchal’ (2.39 kgf) and ‘Hangangchal 1’ (2.30 kgf), and even softer than the japonica control ‘Baegokchal’ (2.10 kgf) (Table 2). This soft texture, combined with its bright appearance, suggests ‘Hanareumchal’ possesses unique quality traits that distinguish it from other tongil-type rice.
Pasting Properties and Retrogradation Rate as indicators of Processing Suitability
The pasting properties and retrogradation rate of starch are critical indicators of its suitability for processed foods. Pasting temperature (PT) was similar across all cultivars (around 70-71°C). However, the tongil-type cultivars exhibited significantly higher peak viscosity (PV), trough viscosity (TV), and final viscosity (FV) than the ‘Baegokchal’ control (Table 3). A high breakdown (BD) indicates lower paste stability under heat and shear. All three tongil-type cultivars showed high BD values (112-118 RVU) compared to ‘Baegokchal’ (61.17 RVU), suggesting their starch granules are more susceptible to disruption during cooking. While high PV can be useful for thickening, lower BD is generally preferred for processes involving thermal and mechanical stress (Sim et al. 2018).
Setback (SB) is closely related to retrogradation, where gelatinized starch molecules recrystallize upon cooling, leading to hardening. A lower or more negative SB value indicates a reduced tendency for retrogradation, which is highly desirable for products requiring extended shelf-life and textural stability, such as rice cakes and ready-to-eat meals. ‘Hanareumchal’ exhibited the most negative SB value (-95.17 RVU), suggesting it has the slowest retrogradation rate among the tongil-type cultivars.
To confirm this, we directly measured the hardness of cooked rice over a 12-hour period at room temperature (Fig. 2). While initial hardness values were similar, distinct patterns emerged after 9 hours. ‘Mirchal’ retrograded rapidly, reaching the highest hardness (5,080 g) at 12 hours. In contrast, ‘Hanareumchal’ hardened much more slowly (3,676.67 g at 12 h), a rate even comparable to the japonica control ‘Baegokchal’ (2,856.67 g). This slow retrogradation rate underscores the superior potential of ‘Hanareumchal’ for developing stable, high-quality processed rice products, overcoming a key limitation of typical tongil-type rice.
A Rare Wx-g2 Allele in GBSSI Contributes to Unique Processing Qualities
To identify the genetic basis for these unique traits, we analyzed the GBSSI gene, which encodes the Waxy protein responsible for amylose synthesis (Li et al. 2021, Shetty et al. 2021). Variations in amylose content are closely linked to allelic differences at the Waxy locus (Mikami et al. 2008, Yang et al. 2013, Zhang et al. 2021). These allelic variations significantly affect cooked rice texture, with higher amylose content typically resulting in firmer and less sticky rice (Hu et al. 2021, Liu et al. 2020, Reddy et al. 1993). The waxy and semi-waxy traits of most rice cultivars are regulated by allelic variations in GBSSI (Biselli et al. 2014, Hasjim et al. 2013, Tao et al. 2019). A well-known allele contributing to the waxy phenotype is a 23 bp duplication located in the second exon of this gene, which causes a premature stop codon and disrupts amylose synthesis (Isshiki et al. 2001, Wang et al. 1990).
Our Sanger sequencing analysis confirmed this 23 bp duplication, which is responsible for the waxy trait, in ‘Baegokchal’, ‘Mirchal’, and ‘Hangangchal 1’ (Jeazet Dongho Epse Mackon et al. 2022, Kharshiing & Chrungoo 2021). Surprisingly, ‘Hanareumchal’ did not have this duplication and its sequence in this region resembled that of non-waxy rice. This suggested a different mutation was responsible for its waxy phenotype. Further sequencing of the entire GBSSI gene in ‘Hanareumchal’ revealed a novel 5 bp deletion (CTCACC → C) in the ninth exon at position 1,768,593 on chromosome 6 (Figs. 3A, 3B). This deletion, known as the Wx-g2 allele, also results in a premature stop codon, disrupting amylose synthesis through a different mechanism (Morita et al. 2009). The protein sequence alignment clearly visualizes how both the 23 bp duplication and the Wx-g2 deletion lead to truncated proteins, explaining the waxy phenotype in all tested cultivars (Fig. 3C).
Although both mutations lead to truncated GBSSI proteins, the functional consequences may differ due to the distinct truncation sites. The 23 bp duplication in exon 2 results in a highly truncated, likely non-functional protein fragment. In contrast, the Wx-g2 mutation in exon 9 occurs much further downstream, potentially allowing the synthesis of a larger portion of the enzyme. This suggests that the Wx-g2 allele might retain minimal residual enzymatic activity compared to the exon 2 duplication allele. Such subtle differences in GBSSI activity, even within a waxy phenotype, could influence the fine structure of starch and the arrangement of amylopectin chains, thereby contributing to the significantly softer texture and delayed retrogradation observed in ‘Hanareumchal’ (Fu et al. 2023, Zhang et al. 2021). While the Wx-g2 allele is the most likely primary contributor to the unique quality of Hanareumchal, the potential influence of other genetic factors within its specific background should also be considered in future research.
The Wx-g2 allele in ‘Hanareumchal’ is particularly noteworthy. It originated from the Japanese waxy cultivar ‘Odorokimochi’, which was developed by subjecting the indica cultivar ‘Takanari’ to gamma-ray irradiation (Imbe et al. 2004). ‘Takanari’ itself was derived from a cross between two Korean tongil-type cultivars. Therefore, the Wx-g2 allele represents a rare, induced mutation reintroduced into a tongil-type genetic background. Given the limited genetic diversity among tongil-type cultivars, which share a short breeding history, this unique allele is the most likely contributor to the distinct processing-friendly quality attributes of ‘Hanareumchal’.
In conclusion, this study demonstrates that the tongil-type waxy cultivar ‘Hanareumchal’ exhibits favorable physicochemical properties that suggest a high potential for processing applications, including a soft texture and significantly slower retrogradation, which are attributable to the rare Wx-g2 allele in its GBSSI gene. These characteristics make it a promising material for industrial applications like rice cakes and ready-to-eat meals, where texture retention and shelf-life are critical.
While the Wx-g2 allele offers valuable traits, challenges remain. Trait expression could vary under different environmental conditions, affecting amylose content and retrogradation. Furthermore, while slow retrogradation is beneficial for many products, it may be less desirable for applications requiring rapid texture setting. Future research should evaluate the stability of Wx-g2-associated traits across diverse environments and optimize its use in various processing contexts. By leveraging this unique genetic resource, it is possible to significantly enhance the processing quality of high-yielding tongil-type waxy rice, expanding its utility in the food industry and improving its overall value.
The identification of the Wx-g2 allele underscores its breeding value as a pivotal genetic tool for developing next generation processing rice that overcomes the traditional yield quality trade off in tongil-type cultivars.
Tongil-type rice cultivars, developed through inter-subspecific hybridization between indica and japonica, are characterized by high yield potential; however, their eating and processing qualities remain limiting factors for broader utilization. In this study, we evaluated the physicochemical properties, starch functionality, and genetic variation of the GBSSI gene in three tongil-type waxy rice cultivars (‘Mirchal’, ‘Hangangchal 1’, and ‘Hanareumchal’), with the japonica waxy cultivar ‘Baegokchal’ used as a control. Cooked rice texture analysis revealed that ‘Hanareumchal’ exhibited the lowest hardness (1.70 kgf), indicating a softer texture compared with the other cultivars. RVA profiling showed that ‘Hanareumchal’ had relatively lower final viscosity and setback values, suggesting reduced starch retrogradation. Consistent with these results, time course texture analysis demonstrated that ‘Hanareumchal’ displayed a slower increase in hardness during storage, indicating superior textural stability. Genotypic analysis of the GBSSI gene revealed that ‘Mirchal’, ‘Hangangchal 1’, and ‘Baegokchal’ carried the typical 23 bp duplication in exon 2 associated with the waxy phenotype. In contrast, ‘Hanareumchal’ possessed a rare Wx-g2 allele characterized by a 5 bp deletion in exon 9, resulting in the formation of a premature stop codon. This unique allelic variation is likely responsible for the distinct starch properties and delayed retrogradation observed in ‘Hanareumchal’. These findings demonstrate that the Wx-g2 allele plays a key role in improving the processing quality and storage stability of tongil-type waxy rice. Notably, ‘Hanareumchal’ has already been adopted for commercial processing applications by CJ CheilJedang, reflecting its practical value and industrial relevance. By combining high yield potential with favorable starch functionality, ‘Hanareumchal’ represents a promising genetic resource for the development of industrially suitable waxy rice cultivars. This study provides a genetic and physicochemical basis for breeding strategies aimed at enhancing the processing performance of tongil-type rice.

Acknowledgments

This study was supported by the Rural Development Administration Research Project (Project title: Development of Breeding Materials for Tongil-type Rice Suitable for Industrial Use and Mass Consumption, Project number: PJ017383012025) and the 2026 RDA Fellowship Program of the National Institute of Crop Science, Rural Development Administration. We extend our gratitude for their support.

Fig. 1.
White rice of japonica and tongil-type waxy cultivars used in this study: (A) Baegokchal, (B) Mirchal, (C) Hangangchal 1, and (D) Hanareumchal.
KJBS-2026-58-2-123f1.jpg
Fig. 2.
Hardness levels for analyzing the retrogradation of tongil-type waxy cultivars at different times. Orange, gray, and blue boxes represent ‘Hanaremchal’, ‘Mirchal’, and ‘Baegokchal’, respectively. Error bars indicate standard error. The letters ‘a’ and ‘b’ denote different significance levels at p<0.01 (Duncan’s test).
KJBS-2026-58-2-123f2.jpg
Fig. 3.
Genetic and protein-level analysis of GBSSI allelic variations. (A) Schematic representation of the GBSSI gene structure. Gray and black blocks represent untranslated regions (UTRs) and exons, respectively; gray lines represent introns. Yellow vertical bars indicate the positions of the two key InDel regions. (B) DNA sequence comparison of the two major alleles: the 23 bp duplication in Exon 2 and the 5 bp Wx-g2 deletion in Exon 9 across the tested rice varieties. (C) Gene-protein sequence alignment of GBSSI. Blue shading indicates conserved regions across all cultivars. Red highlights mark the premature stop codons resulting from the 23 bp duplication (in ‘Baegokchal’, ‘Mirchal’, ‘Hangangchal 1’) and the Wx-g2 deletion (in ‘Hanareumchal’). The yellow bars correspond to the mutation regions. The Nipponbare sequence was used as the reference in all analyses.
KJBS-2026-58-2-123f3.jpg
Table 1.
Chromaticity, amylose and protein content of tongil-type waxy cultivars.
Table 1.
Cultivar Visual appearance
Amylose (%) Protein (%)
L (Lightness) a (Redness) b (Yellowness)
Baegokchal 81.13±0.17az, y 0.11±0.13b 14.21±0.19b 5.82±0.19c 5.84±0.02c
Mirchal 79.41±0.21b -0.13±0.02c 15.10±0.19a 6.80±0.02a 6.24±0.01a
Hangangchal 1 79.21±0.49b 0.44±0.18a 14.48±0.50b 5.92±0.03c 6.19±0.03ab
Hanareumchal 81.37±0.27a -0.32±0.05c 13.08±0.27c 6.14±0.06b 6.15±0.05b

zEach value is presented as mean±standard deviation (n=3).

yDifferent letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).

Table 2.
Texture properties of tongil-type waxy cultivars.
Table 2.
Cultivar Hardness (kgf)z Viscosity (kgf) Balance Elasticity
Baegokchal 2.10±0.38aby, x 0.48±0.09ns 0.22±0.01a 0.78±0.04ns
Mirchal 2.39±0.37a 0.43±0.06 0.18±0.02b 0.76±0.02
Hangangchal 1 2.30±0.27a 0.50±0.11 0.22±0.02a 0.76±0.02
Hanareumchal 1.70±0.18b 0.37±0.04 0.22±0.02a 0.78±0.02

zkgf=Kilogram-force.

yEach value is presented as mean±standard deviation (n=5).

xDifferent letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).

Table 3.
Pasting properties of tongil-type waxy cultivars.
Table 3.
Cultivar Pasting Temp (℃) Peak viscosity (RVU) Trough viscosity (RVU) Breakdown (RVU) Final viscosity (RVU) Setback (RVU)
Baegokchal 70.95±0.91nsz 83.31±0.10dy 22.14±0.27d 61.17±0.25c 29.36±0.31d -53.94±0.27a
Mirchal 70.95±0.43 216.86±2.57a 98.69±1.84a 118.17±2.75a 127.94±0.68a -88.91±1.90b
Hangangchal 1 71.18±0.38 199.64±2.41b 86.47±1.17b 113.17±1.48b 106.67±1.21b -92.97±1.21c
Hanareumchal 70.40±0.48 192.22±3.39c 79.33±1.11c 112.89±2.23b 97.06±0.81c -95.17±2.60c

zEach value is presented as mean±standard deviation (n=3).

yDifferent letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).

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Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
Korean. J. Breed. Sci.. 2026;58(2):123-134.   Published online June 1, 2026
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Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
Korean. J. Breed. Sci.. 2026;58(2):123-134.   Published online June 1, 2026
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Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
Image Image Image
Fig. 1. White rice of japonica and tongil-type waxy cultivars used in this study: (A) Baegokchal, (B) Mirchal, (C) Hangangchal 1, and (D) Hanareumchal.
Fig. 2. Hardness levels for analyzing the retrogradation of tongil-type waxy cultivars at different times. Orange, gray, and blue boxes represent ‘Hanaremchal’, ‘Mirchal’, and ‘Baegokchal’, respectively. Error bars indicate standard error. The letters ‘a’ and ‘b’ denote different significance levels at p<0.01 (Duncan’s test).
Fig. 3. Genetic and protein-level analysis of GBSSI allelic variations. (A) Schematic representation of the GBSSI gene structure. Gray and black blocks represent untranslated regions (UTRs) and exons, respectively; gray lines represent introns. Yellow vertical bars indicate the positions of the two key InDel regions. (B) DNA sequence comparison of the two major alleles: the 23 bp duplication in Exon 2 and the 5 bp Wx-g2 deletion in Exon 9 across the tested rice varieties. (C) Gene-protein sequence alignment of GBSSI. Blue shading indicates conserved regions across all cultivars. Red highlights mark the premature stop codons resulting from the 23 bp duplication (in ‘Baegokchal’, ‘Mirchal’, ‘Hangangchal 1’) and the Wx-g2 deletion (in ‘Hanareumchal’). The yellow bars correspond to the mutation regions. The Nipponbare sequence was used as the reference in all analyses.
Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
Cultivar Visual appearance
Amylose (%) Protein (%)
L (Lightness) a (Redness) b (Yellowness)
Baegokchal 81.13±0.17az, y 0.11±0.13b 14.21±0.19b 5.82±0.19c 5.84±0.02c
Mirchal 79.41±0.21b -0.13±0.02c 15.10±0.19a 6.80±0.02a 6.24±0.01a
Hangangchal 1 79.21±0.49b 0.44±0.18a 14.48±0.50b 5.92±0.03c 6.19±0.03ab
Hanareumchal 81.37±0.27a -0.32±0.05c 13.08±0.27c 6.14±0.06b 6.15±0.05b
Cultivar Hardness (kgf)z Viscosity (kgf) Balance Elasticity
Baegokchal 2.10±0.38aby, x 0.48±0.09ns 0.22±0.01a 0.78±0.04ns
Mirchal 2.39±0.37a 0.43±0.06 0.18±0.02b 0.76±0.02
Hangangchal 1 2.30±0.27a 0.50±0.11 0.22±0.02a 0.76±0.02
Hanareumchal 1.70±0.18b 0.37±0.04 0.22±0.02a 0.78±0.02
Cultivar Pasting Temp (℃) Peak viscosity (RVU) Trough viscosity (RVU) Breakdown (RVU) Final viscosity (RVU) Setback (RVU)
Baegokchal 70.95±0.91nsz 83.31±0.10dy 22.14±0.27d 61.17±0.25c 29.36±0.31d -53.94±0.27a
Mirchal 70.95±0.43 216.86±2.57a 98.69±1.84a 118.17±2.75a 127.94±0.68a -88.91±1.90b
Hangangchal 1 71.18±0.38 199.64±2.41b 86.47±1.17b 113.17±1.48b 106.67±1.21b -92.97±1.21c
Hanareumchal 70.40±0.48 192.22±3.39c 79.33±1.11c 112.89±2.23b 97.06±0.81c -95.17±2.60c
Table 1. Chromaticity, amylose and protein content of tongil-type waxy cultivars.

Each value is presented as mean±standard deviation (n=3).

Different letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).

Table 2. Texture properties of tongil-type waxy cultivars.

kgf=Kilogram-force.

Each value is presented as mean±standard deviation (n=5).

Different letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).

Table 3. Pasting properties of tongil-type waxy cultivars.

Each value is presented as mean±standard deviation (n=3).

Different letters in the same column indicate statistically significant differences (by ANOVA and Duncan’s test, p<0.01).