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Volume 9(4); December 2021

ORIGINAL ARTICLE

Gene Flow from Transgenic Rice to Conventional Rice in China
Xiao-Xuan Du, ZhongZe Piao, Kyung-Min Kim, Gang-Seob Lee
Plant Breed. Biotech. 2021;9(4):259-271.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.259

Global area of genetically modified crops (GM crops or biotech crops) continues to grow. It was 189.9 million hectares in 2017. Recently, a total of 24 countries have approved GM crops for planting and additional 43 countries have formally imported biotech crops for food, feed, and processing, meaning that biotech crops are now commonly accepted in those countries. With the continuous growth of the global population and the impact of climate change, research and commercialization of genetically modified crops are important for solving global food security issues in the future. At present, a large number of GM rice varieties have been cultivated in China (Chen et al. 2004; Jia 2004). Among them, GM rice varieties with insect resistance (Bt, CpTI genes), disease resistance (Xa21 genes), and herbicide resistance (bar, EPSPs genes) are waiting for relevant planting permits (Chen et al. 2004). In particular, two varieties, “Huahua 1” and “Shanyou 63”, developed by China Huazhong Agriculture Co., Ltd. have obtained GM rice safety certificate from the Ministry of Agriculture of China. However, there is still a lot of controversy in South Korea on the commercialization and safety research of GM products. This article aims to conduct a rational analysis of China's GM rice pollen mobility and China's current GM rice commercialization process to provide relevant reference basis for safety evaluation and future commercialization process of GM rice in South Korea.

Citations

Citations to this article as recorded by  
  • Assessment of potential gene flow from resveratrol-enriched genetically modified rice to non-genetically modified rice and weedy rice
    Sang Dae Yun, Sung Dug Oh, Yang Qin, Myung-Ho Lim, Hye Lin Kim, Je Yeon Choi, Eun Young Kim, Sung Aeong Oh, Seong-Kon Lee, Doh-Won Yun, Tae-Hun Ryu, Jae Kwang Kim, Soon Ki Park
    Journal of Plant Biotechnology.2025;[Epub]     CrossRef
  • Pollen Quantitative and Genetic Competitiveness of Rice (Oryza sativa L.) and Their Effects on Gene Flow
    Ning Hu, Dantong Wang, Qianhua Yuan, Yang Liu, Huizi Jiang, Xinwu Pei
    Plants.2025; 14(13): 1980.     CrossRef
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Research Articles
Image Based-Phenotyping and Selection Index Based on Multivariate Analysis for Rice Hydroponic Screening under Drought Stress
Adinda Asri Laraswati, Rusnadi Padjung, Muh Farid, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Amin Nur, Andi Isti Sakinah
Plant Breed. Biotech. 2021;9(4):272-286.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.272

The development of rice varieties that are tolerant of drought stress needs to be detected with Image-based phenotyping. This Image-based phenotyping method in combination with selection index and multivariate analysis can characterize the morphological response easily within a short time, which makes it is suitable for rice screening under drought stress. Therefore, this study aims to determine the selection index based on multivariate analysis and assess the effectiveness of using image-based phenotyping in drought rice screening. This study was conducted in two stages, the first was in static hydroponic and the second was in dynamic hydroponic. In static hydroponic, a split-plot design was used, where the levels of drought were the main plots and varieties were the subplots. However, in dynamic hydroponic, a nested design was used, where the replicates were nested in the drought level treatments. Also, The drought level factors used were PEG 0%, PEG 10%, and PEG 20%, and the variety factor consisted of 5 varieties which were repeated three times. The results showed that the selection index for static hydroponic consisted of shoot area (0.421), green shoot area (0.4177), and the area growth rate (0.4192). Meanwhile, the selection index in dynamic hydroponics consisted of object extent Y from the side (0.4516) and convex hull from the side (0.4177). The regression of the two-selection index has a good determination of 0.84. Hence, these results showed that rice screening based on image-based phenotyping can be recommended for rapid screening under drought stress.

Citations

Citations to this article as recorded by  
  • Geometric image-based phenotyping and physiological analysis for validation of rice salinity tolerance screening under artificial pot conditions
    Muhammad Fuad Anshori, Bambang Sapta Purwoko, Iswari Saraswati Dewi, Willy Bayuardi Suwarno, Sintho Wahyuning Ardie, Nono Carsono, Abd Haris Bahrun, Suharman Hamzah, Achmad Kautsar Baharuddin, Purnama Isti Khaerani, Bernadetta Rina Hastilestari, Zeeshan A
    BMC Plant Biology.2026;[Epub]     CrossRef
  • High-density field-based 3D reconstruction of rice architecture across diverse cultivars for genome-wide association studies
    Jiexiong Xu, Jiyoung Lee, Xiangchao Gan
    Plant Methods.2026;[Epub]     CrossRef
  • High-Throughput Phenotyping: Status and Applications in Rice Breeding
    Leonilo Gramaje, Parthiban Thathapalli Prakash, Nia Manlulu, Rogemae Ravela, Monique Corpuz, Alvin Palanog, Norvie Manigbas, Pompe Sta Cruz, Suresh Babu Kadaru, Jose Hernandez
    Plants.2026; 15(13): 1944.     CrossRef
  • Evaluation of interspecific crossing line x tester (C. annuum and C. frutescens) on chili fruit based on image processing and multivariate analysis
    Muhammad Fuad Anshori, Abd Haris Bahrun, Nuniek Widiayani, Dwi Lestari, Reynaldi Laurenze, Muhammad Faried, Nirwansyah Amier, Nurafika Nurafika
    Reproduction and Breeding.2025; 5(3): 135.     CrossRef
  • Screening lentil genotypes for chromium resilience: A study of growth characteristics, oxidative stress responses, and expression analysis
    Fawad Ali, Yiren Zhao, Shah Zeb, Obaid Ullah Shah, Mian Abdur Rehman Arif, Arif Ali, Li Liao, Zhiyong Wang
    Environmental Technology & Innovation.2025; 39: 104318.     CrossRef
  • Optimized framework for evaluating F3 transgressive segregants in cayenne pepper
    Ifayanti Ridwan, Muh Farid, Feranita Haring, Nuniek Widiayani, Ahmad Yani, Nirwansyah Amier, Muhammad Alfan Ikhlasul Amal, Jekvy Hendra, Nawab Ali, Mekhled M. Alenazi, Mahmoud F. Seleiman, Willy Bayuardi Suwarno, Muhammad Fuad Anshori
    BMC Plant Biology.2025;[Epub]     CrossRef
  • High throughput phenomics in elucidating drought stress responses in rice (Oryza sativa L.)
    S. Anand, R. L. Visakh, R. Nalishma, R. P. Sah, R. Beena
    Journal of Plant Biochemistry and Biotechnology.2025; 34(1): 119.     CrossRef
  • Optimizing hydroponic salinity screening: a novel approach using image-based phenotyping for double haploid rice selection
    Muhammad Fuad Anshori, Bambang Sapta Purwoko, Nono Carsono, Iswari Saraswati Dewi, Willy Bayuardi Suwarno, Sintho Wahyuning Ardie, Abd Haris Bahrun, Achmad Kautsar Baharuddin, Purnama Isti Khaerani, Zeeshan Ali, Majed Alotaibi, Nawab Ali, Mahmoud F. Selei
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Interaction of Principal Component Analysis and Normalized Difference Vegetation Index (NDVI) Using Drone in Evaluation of the Vegetative Phase of Rice
    Andi Isti Sakinah, Muh Farid, Yunus Musa, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Hari Iswoyo
    Asian Journal of Plant Sciences.2024; 23(1): 88.     CrossRef
  • Image-Based Digitalization of Germplasm Stock: Overcoming Its Limitations
    Ju-Kyung Yu, Yong Suk Chung
    Korean Journal of Breeding Science.2024; 56(3): 293.     CrossRef
  • A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties
    Muhammad Fuad Anshori, Yunus Musa, Muh Farid, Muh Jayadi, Rusnadi Padjung, Kaimuddin Kaimuddin, Yi Cheng Huang, Madonna Casimero, Iris Bogayong, Willy Bayuardi Suwarno, Hasil Sembiring, Bambang Sapta Purwoko, Amin Nur, Wahyuni Wahyuni, Daniel O. Wasonga,
    Frontiers in Plant Science.2024;[Epub]     CrossRef
  • Fusing Genotype and Soil Organic/Inorganic Amendment to Improve Saline-sodic Properties and Rice Productivity
    Osama A. M. Ali, Bassiouni A. Zayed, Moamen M. M. Abou El-Enin, Aly F. El Sheikha, Ahmed M. S. Kheir, Yasser A. El-Tahlawy, Wael M. Nada, Ahmed Shaaban
    Journal of Soil Science and Plant Nutrition.2024; 24(2): 2413.     CrossRef
  • Combining Image-Based Phenotyping and Multivariate Analysis to Estimate Fruit Fresh Weight in Segregation Lines of Lowland Tomatoes
    Muh Farid, Muhammad Fuad Anshori, Riccardo Rossi, Feranita Haring, Katriani Mantja, Andi Dirpan, Siti Halimah Larekeng, Marlina Mustafa, Adnan Adnan, Siti Antara Maedhani Tahara, Nirwansyah Amier, M. Alfan Ikhlasul Amal, Andi Isti Sakinah
    Agronomy.2024; 14(2): 338.     CrossRef
  • Multivariate analysis and image-based phenotyping of cayenne fruit traits in selection and diversity mapping of multiple F1 cross lines
    Muhammad Fuad Anshori, Yunus Musa, Novaty Eny Dungga, Nuniek Widiayani, Arfina Sukmawati Arifin, A. Masniawati, Firmansyah, Muh Farid, Andi Dirpan, Andi Isti Sakinah, Nirwansyah Amier
    Reproduction and Breeding.2024; 4(4): 194.     CrossRef
  • Seedling Stage Image-Based Phenotyping Selection Criteria through Tolerance Indices on Drought and Salinity Stress in Rice
    Andi Isti Sakinah, Muh Farid, Yunus Musa, Aris Hairmansis, Muhammad Fuad Anshori
    Plant Breeding and Biotechnology.2024;[Epub]     CrossRef
  • Optimization Study of RGB Image-based Apple Fruit Measurement for Digital Breeding
    Jae Il Lyu, Chaewon Lee, Seo Yeon Lee, Younguk Kim, Nyunhee Kim, Ji Seon Song, JeongHo Baek, Jung Gun Cho, Kyung-Hwan Kim
    Korean Journal of Breeding Science.2023; 55(4): 303.     CrossRef
  • An overview of image-based phenotyping as an adaptive 4.0 technology for studying plant abiotic stress: A bibliometric and literature review
    Muhammad Fuad Anshori, Andi Dirpan, Trias Sitaresmi, Riccardo Rossi, Muh Farid, Aris Hairmansis, Bambang Purwoko, Willy Bayuardi Suwarno, Yudhistira Nugraha
    Heliyon.2023; 9(11): e21650.     CrossRef
  • Changes in Vertical Phenotypic Traits of Rice (Oryza sativa L.) Response to Water Stress
    Yufan Zhang, Yuanyuan Zha, Xiuliang Jin, Yu Wang, Han Qiao
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Exogenously Applied Salicylic Acid Boosts Morpho-Physiological Traits, Yield, and Water Productivity of Lowland Rice under Normal and Deficit Irrigation
    Heba Abdelhamid El Sherbiny, Essam F. El-Hashash, Moamen M. Abou El-Enin, Randa Samir Nofal, Taia A. Abd El-Mageed, Eman Mohamed Bleih, Mohamed T. El-Saadony, Khaled A. El-Tarabily, Ahmed Shaaban
    Agronomy.2022; 12(8): 1860.     CrossRef
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  • 19 Crossref
Development of Molecular Markers for Specific Detection of Xanthomonas campestris pv. incanae
Mehede Hassan Rubel, Denison Michael Immanuel Jesse, Ujjal Kumar Nath, Jung-Hee Jeong, Hoy-Taek Kim, Jong-In Park, Ill-Sup Nou
Plant Breed. Biotech. 2021;9(4):287-297.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.287

Xanthomonas campestris pv. incanae (Xci) is the causal agent of bacterial blight disease in ornamental crucifers. We compared the whole genomes of closely related Xanthomonas campestris pv. campestris, incanae, raphani and four other species of Xanthomonas following comparative genomics approach. We found 82 singletons out of 4024 Xci genes upon comparison. Out of 82 singletons, top 10 were selected for designing Xci specific marker. Five primers; XCI_1F/R, XCI_2F/R, XCI_3F/R, XCI_5F/R and XCI_6F/R produced amplicons of 495 bp, 503 bp, 612 bp, 665 bp and 468 bp, respectively expected to detect Xanthomonas campestris pv. incanae (Xci). In conclusion, five effective markers were developed for the detection of Xci pathogen by whole genome alignment, which could be served as effective tools in seed quarantine.

Citations

Citations to this article as recorded by  
  • An update to the molecular identification of Xanthomonas campestris disease causing pathogens in crucifers – A mini review
    Nihar Sahu, Masao Watanabe, Jong-In Park
    Physiological and Molecular Plant Pathology.2026; 142: 103102.     CrossRef
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Fine-Mapping of a Major Quantitative Trait Locus q2ID1 for Rice Stem Diameter
Ye-Ji Lee, Yeisoo Yu, Hyeonso Ji, Gang-Sub Lee, Nam-In Hyung, Keunpyo Lee, Tae-Ho Kim
Plant Breed. Biotech. 2021;9(4):298-309.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.298

Rice culm is an important trait for determining rice lodging yield, and stem diameter has been suggested as a yield-related trait; however, studies for the genetic basis of its phenotypic variation are still required. In this study, we used 160 recombination inbred lines derived from a cross of two different rice varieties [‘Milyang23’ (Tongil rice) and ‘Giho’ (japonica)] for quantitative trait locus (QTL) mapping with nine stem traits. The analysis showed that QTLs for the diameters of the first, second, third and fourth internode traits were independently separated in the top of chromosome 1, whereas four lengths of internodes were estimated as being related to the semidwarf1 (sd1) gene. A major-effect QTL (q2ID1) was identified that the overlapped region of our previous mapping with a large genomic region. Therefore, we performed high-resolution genetic mapping for fine-mapping of q2ID1 to a ~140 kb region between Ind1_1 and Ind1_2 of genetic markers, with candidate genes predicted using a reference genome. We ultimately identified nine of the 15 candidate genes with specific gene functions and analyzed the sequence variations between two parents. These results offer valuable gene and/or genetic information on stem diameter to improve lodging resistance and yield.

Citations

Citations to this article as recorded by  
  • Genome-Wide Association Analysis Unravels New Quantitative Trait Loci (QTLs) for Eight Lodging Resistance Constituent Traits in Rice (Oryza sativa L.)
    Ognigamal Sowadan, Shanbin Xu, Yulong Li, Everlyne Mmbone Muleke, Hélder Manuel Sitoe, Xiaojing Dang, Jianhua Jiang, Hui Dong, Delin Hong
    Genes.2024; 15(1): 105.     CrossRef
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Effects of Irrigation Conditions on Development of Mungbean (Vigna radiata L.) Sprouts
Byeong Cheol Kim, Insu Lim, Se Young Jeon, Minseo Kang, Jungmin Ha
Plant Breed. Biotech. 2021;9(4):310-317.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.310

Mungbeans (Vigna radiata L.) are one of major legume crops in Asia as major sources of proteins and carbohydrates. Additionally, they provide functional substances such as vitamin and antioxidant compounds when consumed as bean sprouts. In this study, physical traits of mungbean sprouts, such as sprouts yield, thickness and length of hypocotyl, length of epicotyl, number of lateral roots, and length of root depending on four irrigation conditions (irrigation interval: 2 and 4 hours; irrigation time: 2 and 4 minutes) were measured for three cultivars (Dahyeon, Samgang, Sunhwa). In general, the length and thickness of hypocotyl increased gradually until day 3, followed by a decrease on day 4. Lateral roots and the length of root increased during the cultivation period. Sprouts yield was higher under short irrigation time than long irrigation time until day 3. Preferable traits including sprouts yield, the length of hypocotyl, and the thickness of hypocotyl were better under shorter irrigation time conditions (2 minutes). Traits of negative effect for consumers’ preference, such as number of lateral roots and length of epicotyl, were lower under longer irrigation interval conditions (4 hours). Samgang had the highest yield of sprouts. However, it also had the highest growth of epicotyl. Although Sunhwa had preferable physical traits of bean sprouts, it had the least yield of sprouts. Overall, Dahyeon cultivated under 4 hours (irrigation interval) & 2 minutes (irrigation time) condition had the most preferable traits for producing mungbean sprouts. This study provides information about irrigation conditions affecting quality-related traits to produce mungbean sprouts.

Citations

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  • Overview of biochemical changes in red bean sprouts (Vigna angularis) during sprouting
    Le Pham Tan Quoc, Pham My Hao, Pham Thi Quyen
    Environmental and Experimental Biology.2026; 24(2): 155.     CrossRef
  • Impact of Iron (II) Chloride Treatment on the Physical and Metabolic Changes in Mungbean Sprouts
    Aerin Park, Byeong Cheol Kim, Sung Don Lim, Sung Hoon Park, Jungmin Ha
    Food Science & Nutrition.2026;[Epub]     CrossRef
  • Identification of genetic factors influencing flavonoid biosynthesis through pooled transcriptome analysis in mungbean sprouts
    Yeonghun Cho, Hakyung Kwon, Byeong Cheol Kim, Donghwan Shim, Jungmin Ha
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Anti-Inflammatory Effects of Mung Bean (Vigna radiata) Extracts from Different Cultivars
    Yeong Jae An, Hye Young Seo, Min Young Kim, Ji Eun Ra, Seung-Yeob Song
    Korean Journal of Breeding Science.2025; 57(4): 345.     CrossRef
  • Amino acids and BCAA composition of Mungbean (Vigna radiata L.) seeds and sprouts for plant-based protein applications
    Chanwook Kim, Seyoung Jeon, Yeon-Ji Jo, Jungmin Ha
    Scientific Reports.2025;[Epub]     CrossRef
  • Effects of Phytohormones on Morphological and Biochemical Traits in Mungbean Sprouts
    Hakyung Kwon, Byeong Cheol Kim, Minseo Kang, Sung Don Lim, Jungmin Ha, Miguel Rebollo-Hernanz
    Journal of Food Quality.2025;[Epub]     CrossRef
  • Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data
    Song Yie Park, Yeong Jae Ah, Eun Ji Suh, Eun Bin Choi, Mi Ja Lee, Han Gyeol Lee, Woo Duck Seo, Yu-Na Kim, Seung-Yeob Song
    Korean Journal of Breeding Science.2024; 56(3): 269.     CrossRef
  • Application of Deep Learning Technology for Phenotyping Tissue Specific Length of Sprout Vegetables Using YOLOv8
    Yeonghun Cho, Jae Yoon Kim, Jungmin Ha
    Korean Journal of Breeding Science.2024; 56(4): 416.     CrossRef
  • Metabolic profiling and expression analysis of key genetic factors in the biosynthetic pathways of antioxidant metabolites in mungbean sprouts
    Byeong Cheol Kim, Insu Lim, Jungmin Ha
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Tissue-Specific Metabolic Profiling of Mungbean (Vigna radiata L.) Genotypes with Different Seed Coat Colors
    Seyoung Jeon, Byeong Cheol Kim, Jungmin Ha, Walid Elfalleh
    Journal of Food Quality.2023; 2023: 1.     CrossRef
  • Measurement of Physical Trait and Antioxidant Capacity of Tissues of Mungbean (Vigna radiata L.) Sprouts
    Byeong Cheol Kim, Jungmin Ha
    Korean Journal of Breeding Science.2022; 54(2): 75.     CrossRef
  • Metabolomic and transcriptomic changes in mungbean (Vigna radiata (L.) R. Wilczek) sprouts under salinity stress
    Insu Lim, Minseo Kang, Byeong Cheol Kim, Jungmin Ha
    Frontiers in Plant Science.2022;[Epub]     CrossRef
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Characterization of Genes Associated with Salt Tolerance Using Transcriptome Analysis and Quantitative Trait Loci Mapping in Rice
Dong-Min Kim, Ju-Won Kang, Kyu-Chan Shim, Hyun-Jung Kim, Thomas H. Tai, Sang-Nag Ahn
Plant Breed. Biotech. 2021;9(4):318-330.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.318

We conducted transcriptome profiling analysis of O. glaberrima root using RNA-Seq at the control (OCR) and 100 mM NaCl treatment (OTR) at two time points (6 and 24 hours after treatment) to detect genes induced by salt stress. RNA-Seq analysis generated 102,690,698 sequence reads representing 30,388 predicted transcripts including 6,189 unannotated in Rice Annotation Project database. A total of 539 and 424 of differentially expressed genes (DEGs) were detected between OCR_6hours vs OTR_6hours and between OCR_24hours vs OTR_24hours, respectively (P < 0.001, q < 0.05). Among these DEGs, 262 genes showed constant differential expression at both 6 hours and 24 hours, and these included a bHLH containing protein, WRKY transcription factor, serine/threonine kinase, R2R3 MYB protein, and amino acid transporters. Interestingly, an enhanced seedling salt tolerant introgression line IL55 from a cross between a salt sensitive indica cultivar “Milyang23” and O. glaberrima harbors one DEG, Os02g0787300 encoding a mitogen activated protein kinase kinase (MAPKK) on chromosome 2. Analysis of the salt tolerance of the F2:3 lines from a cross between IL55 and Milyang23 indicated that the O. glaberrima segment on chromosome 2 containing the MAPKK gene was responsible for better shoot growth under salt stress at the seedling stage. The salt inducible genes will be evaluated in introgression lines (ILs) to understand whether the expression of these genes is associated with salt tolerance in ILs having the Milyang23 genetic background. Transcriptome sequence information in this study may be useful for developing DNA markers linked to salinity tolerance for MAS breeding.

Citations

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  • Phylogenomic profiles of whole-genome duplications in Poaceae and landscape of differential duplicate retention and losses among major Poaceae lineages
    Taikui Zhang, Weichen Huang, Lin Zhang, De-Zhu Li, Ji Qi, Hong Ma
    Nature Communications.2024;[Epub]     CrossRef
  • Grain protein function prediction based on self-attention mechanism and bidirectional LSTM
    Jing Liu, Xinghua Tang, Xiao Guan
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
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Evaluation of Bentazone Reaction by Growth Stage and Bentazone Dose Across Soybean Genotypes
Liakat Ali, Hyun Jo, Jong-Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2021;9(4):331-344.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.331

Germplasm screening is time-consuming, labor-intensive, and expensive. Therefore, it is important to develop the most effective selection method for plant breeding and genetic studies. Herein, experiments were conducted to determine the optimal growth stage and application dose of bentazone based on the response of soybeans. The influence of soybean accessions, application doses (0X, 1X and 2X), and growth stages (VC, V1, V2) on plant injury and growth performance was examined. Leaf injury and growth performance were significantly influenced by accession, dose, and growth stage. There was a substantial difference of 2%-3% and 23%-31% in leaf necrosis between the tolerant and susceptible groups, respectively. The mean leaf necrosis and visual scores for the VC, V1, and V2 stages showed a similar pattern, with a non-significant difference. The effect of accessions on plant height, fresh weight, and dry weight reduction had no significant difference in all growth stages. No significant differences in necrosis were found in the tolerant accessions across bentazone doses, while significant differences were found in the susceptible accessions. The leaf necrosis from 2X bentazone was almost double that of 1X treatment. However, there was no difference in visual scores between the 1X and 2X doses. In addition, the visual scores showed no difference between the 1X and 2X doses within the growth stages. The application of 1X dose bentazone at the V1 stage is suitable to determine tolerant and susceptible soybeans. This result can help determine the genotypes for breeding and genetic studies.

Citations

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  • Physiological Evaluation of Soybean and Acalypha australis L. Following Bentazone-sodium·Fenoxaprop-P-ethyl Treatment
    Hyeon Su Lee, Seo Yeon Hong, Jeon Jun Hyoung, Youngnam Yoon, Rameswor Maharjan, Rahel Dinsa Guta, Jae Deok Kim, Yu-jin Kim, Ok Jae Won
    The Korean Journal of Pesticide Science.2025; 29(4): 266.     CrossRef
  • Genetic Dissection of Bentazone Tolerance Loci in Cultivated Soybeans: A Genome-Wide Association Study
    Hyun Jo, Liakat Ali, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2023; 13(9): 2345.     CrossRef
  • Comparison of Hyperspectral Imagery and Physiological Characteristics of Bentazone-Tolerant and -Susceptible Soybean Cultivars
    Liakat Ali, Hyun Jo, Seung Min Choi, Yoonha Kim, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2022; 12(10): 2241.     CrossRef
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Genome-Wide Association Study for Cold Tolerance in Rice Seedlings under Cold-Water Treatment
Na-Eun Kim, Soon-Wook Kwon, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):345-354.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.345

Rice is a temperature-sensitive crop, its yield is severely affected by low temperature, especially cold stress at the seedling stage will delay heading. To understand the genetic basis of cold tolerance, we evaluated the cold tolerance at the seedling stage of 136 rice accessions. To evaluate cold tolerance, we treated rice seedlings with cold water irrigation for ten days and scored the cold tolerance on a 1-9 scale, based on their low-temperature response and subsequent recovery. The genome-wide association study for cold tolerance revealed seven QTLs on chromosomes 1, 3, 6, 7, 10, and 12. The genomic region of the qCWS7 on chromosome 7 overlapped with a previously reported QTL associated with cold tolerance in the germinating stage. Similarly, qCWS1-1, qCWS1-2, qCWS3, qCWS6, and qCWS10 overlapped with a previously reported QTL associated with drought-stress tolerance. Subsequent bioinformatic and haplotype analyses suggested that five candidate genes affect cold tolerance: Os01g0228600 encoding a cytosolic hydroxypyruvate reductase, Os03g0115000 encoding a cupredoxin domain containing protein, Os06g0612800 encoding a stress-associated protein (SAP) gene family, Os12g0552500 encoding a universal stress protein (USP), and Os10g0482900 encoding a thioredoxin fold domain containing protein.

Citations

Citations to this article as recorded by  
  • Analysis of quantitative trait loci and candidate gene exploration associated with cold tolerance in rice (Oryza sativa L.) during the seedling stage
    Sumin Jo, Seong-Gyu Jang, Sais-Beul Lee, Ji-Yoon Lee, Jun-Hyeon Cho, Ju-Won Kang, Yeongho Kwon, So-Myeong Lee, Dong-Soo Park, Soon-Wook Kwon, Jong-Hee Lee
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Genome-wide Association Study for Cold Tolerance at Seedling Stage Using a Core Collection of Korean Rice
    Sa-Eun Park, Ngoc Ha Luong, Sang-Nag Ahn, Kyu-Chan Shim
    Journal of Agriculture & Life Science.2025; 59(2): 13.     CrossRef
  • Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model
    Zijun Mu, Junfei Xia
    PeerJ.2024; 12: e18234.     CrossRef
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Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.)
Soon-Wook Kwon, Na-Eun Kim, Sang, Hyeon Jin, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):355-359.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.355

Bakanae disease is an important fungal disease caused by Gibberella fujikuroi. The outbreak of rice bakanae disease causes the most important problems for rice producing countries and affects almost all known rice cultivars. Identifying balance disease resistance in Korean Rice Landrace with diverse genetic sources is important for efficient breeding. In this study, we tried to find out useful genetic resources for bakanae resistant cultivar. The result suggested highly strong 3 varieties (‘IT010631’, ‘IT009118’ and ‘IT009221’.) to be used in breeding program. Additionally, we applied reported marker related qFfR1 bakanae disease to accessions which showed strong resistance. It is expected that these resources can be used to develop useful cultivars for each trait. Especially, accessions showed strong resistance in this study have different genotype with reported resistant resources, they would be used to find other genes related to bakanae resistance.

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    Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef
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