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"Krishnanand P. Kulkarni"

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"Krishnanand P. Kulkarni"

Research Articles

Physiological and Molecular Responses of Red Maple (Acer rubrum L.) Cultivars to Drought Stress
Philip Bissiwu, Krishnanand P. Kulkarni, Kalpalatha Melmaiee, Sathya Elavarthi
Plant Breed. Biotech. 2022;10(1):62-74.   Published online March 28, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.1.62

Acer rubrum (red maple) is one of the most important ornamental trees in North America. It is used in urban forestry and landscaping, as well as timber and syrup production. Drought is a major challenge that hinders the development and growth of maples and other tree species. The
objective
of the present study was to evaluate three red maple cultivars namely, October glory, Autumn red, and Red sunset for their physiological and molecular response to drought stress. Saplings of three cultivars of red maple were subjected to drought stress (up to 28 days unirrigated) in the summer of 2018 and 2019, and leaf samples were used to quantify physiological, biochemical, and expression changes under stress. Decrement of chlorophyll content significantly correlated with the soil moisture content observed in all three genotypes subjected to drought stress. Significant variation in proline concentration, Malondialdehyde levels, and increase in superoxide dismutase (SOD) activity at various stages of the experiments showed the ability of the maple plants to respond to drought stress. RT-qPCR analyses revealed higher and variable expression of drought-responsive genes GGAT1 encoding glutamate-glyoxylate aminotransferase, and CSD2 encoding SOD, in the red maple plants under drought stress. The results from this study indicate that the red maple plants alleviate drought stress by the possible mechanism involving decreased lipid peroxidation, and enhanced production of osmolyte and antioxidants.

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  • The Irrigation Water pH Has a Dominant Impact on the Growth and Stress Markers of Bigleaf Hydrangea
    Monika Marković, Vlatko Galić, Veronika Težak, Marija Ravlić, Željko Barač, Irena Jug, Lucija Galić
    Applied Sciences.2025; 15(16): 8773.     CrossRef
  • Genome-wide identification of the UGT genes family in Acer rubrum and role of ArUGT52 in anthocyanin biosynthesis under cold stress
    Khan Arif Kamal, Faheem Afzal Shah, Yue Zhao, Zhu Chen, Songling Fu, Zhiyong Zhu, Jie Ren, Hua Liu
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Transcriptome profiling, physiological, and biochemical analyses provide new insights towards drought stress response in sugar maple (Acer saccharum Marshall) saplings
    Lungowe Mulozi, Amaranatha R. Vennapusa, Sathya Elavarthi, Oluwatomi E. Jacobs, Krishnanand P. Kulkarni, Purushothaman Natarajan, Umesh K. Reddy, Kalpalatha Melmaiee
    Frontiers in Plant Science.2023;[Epub]     CrossRef
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Agronomic Traits and Fatty Acid Composition of High–Oleic Acid Cultivar Hosim
Jeong-Dong Lee, Minsu Kim, Krishnanand P. Kulkarni, Jong Tae Song
Plant Breed. Biotech. 2018;6(1):44-50.   Published online March 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.1.44

The soybean [Glycine max (L.) Merr.] cultivar ‘Hosim’ (registration number: 5989, registration date: April 8, 2016) was developed at Kyungpook National University, Republic of Korea. Hosim was registered as a cultivar after a two-year (2014–2015) analysis by the Korea Seed & Variety Service, Republic of Korea. It is an F4 plant selection composited in the F5 generation developed from the 17D × S08-14788 cross. Hosim is a productive, mid-maturing (~130 days) soybean cultivar with white flowers, tawny pubescence, determinate growth, and yellow seed coat with gray hila. The yield of Hosim was 3.5 t/ha, which was similar to those of the control cultivars, ‘Uram’ and ‘Taekwang’. Hosim soybean oil contained ~79% oleic acid. Hosim could be highly useful in producing high-quality soybean oil, and preparing soy-based foods with high oleic acid concentration.

Citations

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  • Stomatal Density Variation Within and Among Different Soybean Cultivars Across Various Growth Stages
    Syada Nizer Sultana, Hyun Jo, Jong Tae Song, Kihwan Kim, Jeong-Dong Lee
    Agriculture.2024; 14(11): 2028.     CrossRef
  • Selection of Soybean Accessions with Seed Storability Test Under Accelerated Aging Conditions
    Hyun Jo, Noy Noy, Jong Tae Song, Jeong-Dong Lee
    Plant Breeding and Biotechnology.2023; 11(4): 263.     CrossRef
  • Combining a Mutant Allele of FAD2-1A with HD Improves the ω-6/ω-3 Ratio in Soybeans
    Hwayeop Kim, Hyun Jo, Jeong-Dong Lee
    Agronomy.2023; 13(3): 913.     CrossRef
  • Novel Allele of FAD2-1A from an EMS-Induced Mutant Soybean Line (PE529) Produces Elevated Levels of Oleic Acid in Soybean Oil
    Hyun Jo, Changwan Woo, Nabachwa Norah, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2022; 12(9): 2115.     CrossRef
  • Comparison of Yield and Yield Components of Several Crops Grown under Agro-Photovoltaic System in Korea
    Hyun Jo, Sovetgul Asekova, Mohammad Amin Bayat, Liakat Ali, Jong Tae Song, Yu-Shin Ha, Dong-Hyuck Hong, Jeong-Dong Lee
    Agriculture.2022; 12(5): 619.     CrossRef
  • Differential Gene Expression Associated with Altered Isoflavone and Fatty Acid Contents in Soybean Mutant Diversity Pool
    Dong-Gun Kim, Jae-Il Lyu, You-Jin Lim, Jung-Min Kim, Nguyen-Ngoc Hung, Seok-Hyun Eom, Sang-Hoon Kim, Jin-Baek Kim, Chang-Hyu Bae, Soon-Jae Kwon
    Plants.2021; 10(6): 1037.     CrossRef
  • Marker-assisted selection for fast-track breeding of high oleic lines in safflower (Carthamus tinctorious L.)
    Palchamy Kadirvel, Cheelam Veerraju, Senapathy Senthilvel, Praduman Yadav, Betha Usha Kiran, Mobeen Shaik, Ranjan Shaw, Velu Mani Selvaraj, Yarabapani Rushwanth Reddy, Manmode Darpan Mohanrao, N. Mukta
    Industrial Crops and Products.2020; 158: 112983.     CrossRef
  • Genomic Prediction and Genetic Correlation of Agronomic, Blackleg Disease, and Seed Quality Traits in Canola (Brassica napus L.)
    Mulusew Fikere, Denise M. Barbulescu, M. Michelle Malmberg, Pankaj Maharjan, Phillip A. Salisbury, Surya Kant, Joe Panozzo, Sally Norton, German C. Spangenberg, Noel O. I. Cogan, Hans D. Daetwyler
    Plants.2020; 9(6): 719.     CrossRef
  • Comparative assessment of quality characteristics of Chungkookjang made from soybean seeds differing in oleic acid concentration
    Dong-Ho Lee, Krishnanand P. Kulkarni, Byung-Oh Kim, Young Mi Seok, Jong Tae Song, Jeong-Dong Lee
    Journal of Functional Foods.2019; 52: 529.     CrossRef
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Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents
Sanjeev K. Dhungana, Krishnanand P. Kulkarni, Minsu Kim, Bo-Keun Ha, Sungtaeg Kang, Jong Tae Song, Dong-Hyun Shin, Jeong-Dong Lee
Plant Breed. Biotech. 2017;5(4):293-303.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.293

Seed starch content (SSC) is a decisive factor influencing soy food quality. Variation in SSC affects the composition of major components, oil, and protein in soybean seeds. Therefore, understanding G × E interaction of SSC is important to produce soybeans with stable SSC. In the present study, G × E interactions of 17 soybean genotypes having different SSC (0.24–1.48%) and correlation of SSC with crude protein (CP) and crude fat (CF) were investigated. The genotypes were evaluated for SSC and other traits at two planting dates across three locations over two years (2015 and 2016). The genotype × year, genotype × location, and genotype × year × location interactions were found to be significant (P ≤ 0.001) for SSC, CP, and CF. The average SSC content was found to be higher in 2015 than in 2016. Late planted soybeans contained higher SSC than the early planting soybeans. The SSC was negatively affected by the average daily mean and minimum temperatures and cloudiness during the pod-filling stage. Based on the mean rank, IT189276 (1.39%) was observed to be the most stable genotype among the high starch containing soybeans. Significant (P ≤ 0.0001) negative correlations were found between SSC and CP as well as CP and CF contents. However, a significant (P ≤ 0.05) positive correlation was observed between SSC and CF content. Results of this study showed that SSC affects the seed protein and oil contents and is significantly influenced by the growing environments.

Citations

Citations to this article as recorded by  
  • Soybean as an animal protein analogue: Hormetic effect, popularity and consumer preference
    V Jayasri, Ayyagari Ramlal, Sreeramanan Subramaniam, Aparna Nautiyal, Praveen Gupta, Dhandapani Raju, S K Lal, Ambika Rajendran, Ankita Rajendra Parab
    Food Chemistry Advances.2026; 11: 101272.     CrossRef
  • Effects of Allelic Variation in Storage Protein Genes on Seed Composition and Agronomic Traits of Soybean in the Omsk Oblast of Western Siberia
    Ilya V. Strembovskiy, Pavel Yu. Kroupin, Lyudmila V. Omel’yanuk, Andrey V. Arkhipov, Yana S. Meglitskaya, Mikhail S. Bazhenov, Akimbek M. Asanov, Mariya E. Mukhordova, Oksana A. Yusova, Yuliya I. Yaschenko, Gennady I. Karlov, Mikhail G. Divashuk
    Agronomy.2025; 15(11): 2533.     CrossRef
  • Comparative Evaluation of Nutritional Quality and In Vitro Protein Digestibility in Selected Vegetable Soybean Genotypes at R6 and R8 Maturity
    Kanneboina Soujanya, T. Supraja, Aparna Kuna, Ramakrishnan M. Nair, S. Triveni, Kalenahalli Yogendra
    Foods.2025; 14(14): 2549.     CrossRef
  • Traditional Legume Seed Fermentation Processes: What is the Individual Impact of the Cooking and Fermentation Stages on the Degradation of Anti-Nutritional Factors?
    Charlène Gbedo, Elodie Arnaud, Caroline Strub
    Food Reviews International.2025; 41(5): 1290.     CrossRef
  • The effect of ethyl methanesulfonate (EMS) and environmental factors on soybean traits
    Khaled Ramadan, Souhail Nader, Loubna Mokrani, Ghrood Al Aswd, Samir Abou-Isba, Abdulkarim Dakah
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Unveiling Diversity for Quality Traits in the Indian Landraces of Horsegram [Macrotyloma uniflorum (Lam.) Verdc.]
    Manju Kumari, Siddhant Ranjan Padhi, Sushil Kumar Chourey, Vishal Kondal, Swapnil S. Thakare, Ankita Negi, Veena Gupta, Mamta Arya, Jeshima Khan Yasin, Rakesh Singh, Chellapilla Bharadwaj, Atul Kumar, Kailash Chandra Bhatt, Rakesh Bhardwaj, Jai Chand Rana
    Plants.2023; 12(22): 3803.     CrossRef
  • Genetic variation in four maturity genes and photoperiod insensitivity effects on the yield components and on the growth duration periods of soybean
    I. M. Raievska, A. S. Schogolev
    Regulatory Mechanisms in Biosystems.2023; 14(1): 55.     CrossRef
  • Soybean genetic resources contributing to sustainable protein production
    Bingfu Guo, Liping Sun, Siqi Jiang, Honglei Ren, Rujian Sun, Zhongyan Wei, Huilong Hong, Xiaoyan Luan, Jun Wang, Xiaobo Wang, Donghe Xu, Wenbin Li, Changhong Guo, Li-Juan Qiu
    Theoretical and Applied Genetics.2022; 135(11): 4095.     CrossRef
  • Correlations between soybean seed quality traits using a genome-wide association study panel grown in Canadian and Ukrainian mega-environments
    Huilin Hong, Mohsen Yoosefzadeh-Najafabadi, Istvan Rajcan
    Canadian Journal of Plant Science.2022; 102(5): 1040.     CrossRef
  • Control of seed born mycobiota associated with Glycine max L. Merr. seeds by a combination of traditional medicinal plants extracts
    SULAIMAN A. AL YOUSEF
    BIOCELL.2021; 45(5): 1403.     CrossRef
  • Application of near infrared spectroscopy for determination of relationship between crop year, maturity group, location, and carbohydrate composition in soybeans
    Mukti Singh, Michael J. Bowman, Mark A. Berhow, Neil P. J. Price, Sean X. Liu
    Crop Science.2021; 61(4): 2409.     CrossRef
  • Comparison of sugars, lipids and phenolics content in the grains of organically and conventionally grown soybean in Serbia
    Jelena M. Golijan, Danijel D. Milinčić, Radivoj B. Petronijević, Mirjana B. Pešić, Sladjana P. Stanojević, Miroljub B. Barać, Slavoljub Lekić, Aleksandar Ž. Kostić
    Zemdirbyste-Agriculture.2021; 108(1): 51.     CrossRef
  • Protein, Amino Acid, Oil, Fatty Acid, Sugar, Anthocyanin, Isoflavone, Lutein, and Antioxidant Variations in Colored Seed-Coated Soybeans
    Sanjeev Kumar Dhungana, Jeong-Hyun Seo, Beom-Kyu Kang, Ji-Hee Park, Jun-Hoi Kim, Jung-Sook Sung, In-Youl Baek, Sang-Ouk Shin, Chan-Sik Jung
    Plants.2021; 10(9): 1765.     CrossRef
  • Morpho-chemical evaluation of soybean genotypes across tropical agroecosystem
    A Krisnawati, M M Adie
    IOP Conference Series: Earth and Environmental Science.2019; 230: 012106.     CrossRef
  • Assessment of Phenotypic Variations and Correlation among Seed Composition Traits in Mutagenized Soybean Populations
    Zhou Zhou, Naoufal Lakhssassi, Mallory A. Cullen, Abdelhalim El Baz, Tri D. Vuong, Henry T. Nguyen, Khalid Meksem
    Genes.2019; 10(12): 975.     CrossRef
  • Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV
    Sungwoo Lee, Kyujung Van, Mikyung Sung, Randall Nelson, Jonathan LaMantia, Leah K. McHale, M. A. Rouf Mian
    Theoretical and Applied Genetics.2019; 132(6): 1639.     CrossRef
  • Insight Into the Prospects for the Improvement of Seed Starch in Legume—A Review
    Rupesh Tayade, Krishnanand P. Kulkarni, Hyun Jo, Jong Tae Song, Jeong-Dong Lee
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • Dynamic Transcriptome Changes Related to Oil Accumulation in Developing Soybean Seeds
    Songnan Yang, Long Miao, Jianbo He, Kai Zhang, Yan Li, Junyi Gai
    International Journal of Molecular Sciences.2019; 20(9): 2202.     CrossRef
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Review Article

Current Status and Future Prospects of Soybean Production in Kazakhstan
Akbota Makulbekova, Ayup Iskakov, Krishnanand P. Kulkarni, Jong Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2017;5(2):55-66.   Published online June 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.2.55

Kazakhstan is an agrarian country with 270 million hectares utilized for animal and crop production. The foremost
objective
of the state agriculture programs in Kazakhstan is to achieve food security of country on the basis of competitive crop production. Demand for soybean as an oil crop and animal feed is steadily growing in Kazakhstan and hence soybeans can be a great attribute for food security in this region. Currently, over 90% of all soybean production is concentrated in one region (Almaty) because the crop is highly sensitive to photoperiod and temperature. The climatological conditions in majority of the region pose difficulties in growing the soybeans. In this review, we discussed the impact of the geographical and environmental conditions in enhancing the soybean cultivation in different parts of Kazakhstan. Additionally, we have taken an account of current status of soybean production and the barriers that may have great influence on the soybean yield. Because soybean is a short-day plant, the main role in its adaptation to areas in Kazakhstan is played by its E genes (maturity and flowering genes), the exploitation of which constitutes the primary challenge for the expansion of soybean cultivation. Besides, we have proposed candidate regions for soybean expansion, including Almaty, Zhambyl (south), East Kazakhstan and Kostanay (north). Expanding soybean production in Kazakhstan and in Central Asia could be addressed using competitive education, application of modern scientific methods and cutting-edge breeding technologies, appropriate financing, and productive strategies to develop superior cultivars with tolerance to abiotic stresses.

Citations

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  • Innovative nutrient management practices for soybean production in southern Kazakhstan
    Rakymzhan Yerkuatov, Dossymbek Sydyk, Serik Kenenbayev, Sagadat Turebayeva, Alima Kazybaeva, Aziz Nurbekov, Mirzoxid Raximov, Botir Khaitov
    Frontiers in Sustainable Food Systems.2026;[Epub]     CrossRef
  • ИЗЕННІҢ (BASSIA PROSTRATA) ЗИЯНКЕС БӨЖЕКТЕРІНЕ ҚАРСЫ ФУМИГАНТТАРДЫҢ БИОЛОГИЯЛЫҚ ТИІМДІЛІГІН БАҒАЛАУ
    Гүлайша  Әбдраманова, Меруерт Қанатова , Мөлдір Алимкулова
    Izdenister natigeler.2025; (4 (108)): 213.     CrossRef
  • ВЫЯВЛЕНИЕ ALTERNARIA DESTRUENS НА СОЕ В ЛЕСОСТЕПНОЙ ЗОНЕ СЕВЕРНОГО КАЗАХСТАНА И ИДЕНТИФИКАЦИЯ ГРИБА
    Чингиз Канапин , Ерлан Утельбаев, Кажимурат Мусынов , Нуреттин Тахсин
    Izdenister natigeler.2025; (2 (106)): 345.     CrossRef
  • ӘР ТҮРЛІ СУҒАРУ ЖАҒДАЙЫНДА МАЙБҰРШАҚ СОРТҮЛГІЛЕРІНІҢ ӨНІМДІЛІК БЕЛГІЛЕРІН АНЫҚТАУ
    Джансулу Есенбаева, Айсулу Жолдасбаева
    Izdenister natigeler.2024; (1 (101)): 84.     CrossRef
  • SCREENING OF NEW SOYBEAN CULTIVARS AND CULTIVAR SAMPLES TOWARDS COMMON DISEASES IN KAZAKHSTAN
    A. D. Maylenbai, N. D. Kurymbaeva, G. Sh. Yskakova, M. Zh. Baigutov, A. M. Asraubaeva, A. S. Rsaliyev
    Biosafety and Biotechnology.2024; (14): 52.     CrossRef
  • МАЙБҰРШАҚ ЕГІСТІГІ ЖАҒДАЙЫНДА КӘДІМГІ СҰР ТОПЫРАҚТАРДЫҢ ЫЛҒАЛ ҚОРЫ ЖӘНЕ СУ- ФИЗИКАЛЫҚ ҚАСИЕТТЕРІНЕ СУАРУ РЕЖИМІН ОҢТАЙЛАНДЫРУДЫҢ ӘСЕРІ
    Маусымжан Бейсенбаева , Айгул Жаппарова , Досымбек Сыдық , Карлыга Караева , Майра Кусаинова , Арайлы Закиева
    Izdenister natigeler.2024; (3(103)): 123.     CrossRef
  • СУАРУ ЖӘНЕ МИНЕРАЛДЫҚ ҚОРЕКТЕНДІРУ РЕЖИМДЕРІН РЕТТЕУДІҢ МАЙЛЫ ДАҚЫЛДАРДЫҢ ШАРУАШЫЛЫҚ-ҚҰНДЫ БЕЛГІЛЕРІНІҢ ҚАЛЫПТАСУЫ МЕН ӨНІМДІЛІГІНЕ ӘСЕРІ
    Маусымжан Бейсенбаева , Айгул Жаппарова , Досымбек Сыдық , Карлыга Караева , Асхат Наушабаев , Айсұлу Абдуова
    Izdenister natigeler.2024; (3(103)): 197.     CrossRef
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    Microorganisms.2024; 12(9): 1832.     CrossRef
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    Alibek Zatybekov, Moldir Yermagambetova, Yuliya Genievskaya, Svetlana Didorenko, Saule Abugalieva
    Plants.2023; 12(19): 3445.     CrossRef
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    Alibek Zatybekov, Yerlan Turuspekov, Botakoz Doszhanova, Svetlana Didorenko, Saule Abugalieva
    Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences..2020; 74(4): 244.     CrossRef
  • A study of the genetic diversity in the world soybean collection using microsatellite markers associated with fungal disease resistance
    A. K. Zatybekov, Y. T. Turuspekov, B. N. Doszhanova, S. I. Abugalieva
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    Sustainable Food Production.2019; 5: 6.     CrossRef
  • 65 View
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Research Article
Genetic and Environmental Variation of First Pod Height in Soybean [Glycine max (L.) Merr.]
Beom-Kyu Kang, Hyun-Tae Kim, Man-Soo Choi, Seong-Chul Koo, Jeong-Hyun Seo, Hong-Sik Kim, Sang-Ouk Shin, Hong-Tae Yun, In-Seok Oh, Krishnanand P. Kulkarni, Jeong-Dong Lee
Plant Breed. Biotech. 2017;5(1):36-44.   Published online March 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.1.36

First pod height (FPH) is an agronomic trait for the mechanical harvesting of soybeans with combines. The seed loss could be minimized, if the FPH is higher than the height of the cutter bar in combines. Hence, developing soybeans with high FPH has become one of important breeding goals in current crop improvement programs. The
objective
of this study was to evaluate genetic and environmental variation of FPH in soybean and to analyze the effect of ratio of FPH to plant height (PH) on seed yield. Four genotypes were evaluated across six different environments to analyze environmental variation of agronomic traits including FPH. Three F2 populations were evaluated to analyze genetic variation and relationship between the ratio of FPH to PH and seed yield. The main effects of planting distance, genotype and seeding date were significant for FPH, but FPH is affected more by genetic factors than by environmental factors. The mean heritability value of FPH was 66% across three F2 populations. Seed yield was found to reduce with increase in the FPH/PH ratio. In conclusion, genetic factors have effect more than environments to the variation of FPH. While FPH is higher than cutting height, the smaller ratio can minimize seed yield decrease.

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    Journal of Plant Growth Regulation.2025; 44(9): 5575.     CrossRef
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    Namgeol Kim, Seuk-Ki Lee, Yo-han Yoo, Inhye Lee, Kwang-soo Cho, Min-Jung Seo, BeomKyu Kang, JeongHyun Seo, JunHoi Kim, SuVin Heo, Jinsil Choi, Hyeon Tae Cho
    Korean Journal of Breeding Science.2025; 57(3): 315.     CrossRef
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    Małgorzata Gniadzik-Zasańska, Marcin Kozak, Anna Wondołowska-Grabowska
    Agronomy Science.2024; 79(1): 41.     CrossRef
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    Genís Simon-Miquel, Moritz Reckling, Daniel Plaza-Bonilla
    Field Crops Research.2024; 307: 109274.     CrossRef
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    Beom Kyu Kang, Jeong Hyun Seo, Jun Hoi Kim, Su Vin Heo, Gi Rim Park, Won Young Han, Myung Chul Seo, Yeong Hoon Lee, In Youl Baek, Jee Yeon Ko, Ji Hee Park, Jung Suk Sung, Hong Sik Kim, Chan Sik Jung, Hye Sun Choi, Yeong Min Jo, Eun Byul Go, Ji Ae Lee
    Korean Journal of Breeding Science.2024; 56(4): 547.     CrossRef
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