Skip to main navigation Skip to main content
  • KSBS
  • E-Submission

Plant Breed. Biotech. : Plant Breeding and Biotechnology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Page Path

13
results for

"Jeong-Dong Lee"

Article category

Keywords

Publication year

Authors

"Jeong-Dong Lee"

Research Articles

Efficient Seed Sterilization and Protoplast Isolation in Milk Thistle (Silybum Marianum (L.) Gaertn.)
Jinwon Lee, Junbeom Park, Zhen Yu Fu, Hyun Jo, Jeong-Dong Lee, Hak Soo Seo, Jong Tae Song
Plant Breed. Biotech. 2025;13:196-206.
Published online September 2, 2025
DOI: https://doi.org/10.9787/PBB.2025.13.196

Milk thistle (Silybum marianum (L.) Gaertn.), a valuable medicinal plant with economic importance, serves as a source of both therapeutic compounds and vegetable oil for human use. Genome editing techniques have been widely applied to improve key agronomic traits in various species. Therefore, this study aims to develop an efficient method for seed sterilization and protoplast isolation in milk thistle. For seed sterilization, seed treated with hydrogen peroxide for either 4 hours or 7 hours with ethanol and detergent showed more sufficient to sterilize seed of milk thistle for in vitro growth than ethanol, sodium hypochlorite, and chlorine gas. For protoplast isolation in milk thistle, high-yielding, viable protoplasts were successfully isolated from the leaves of 21-day-old plants using a 2 hours enzymatic treatment containing 2% Viscozyme® L, 1% Celluclast® 1.5 L, and 1% Pectinex® Ultra SP-L. Additionally, transient expression of green fluorescent protein was observed following polyethylene glycol-mediated transfection. Therefore, the seed sterilization and protoplast isolation methods developed in this study can facilitate in vitro culture, gene function analysis, and genome editing aimed at improving agronomic traits in milk thistle.

  • 41 View
  • 1 Download
The Flooding Tolerances of Adzuki Bean and Its Relatives at the Vegetative and Germination Stages
Hai Anh Tran, Thi Cuc Nguyen, Hyun Jo, Junbeom Park, Jeong-Dong Lee, Hak Soo Seo, Jong Tae Song
Plant Breed. Biotech. 2025;13:156-166.
Published online August 29, 2025
DOI: https://doi.org/10.9787/PBB.2025.13.156

Adzuki bean (Vigna angularis [Willd.] Ohwi & Ohashi) has recently become widely cultivated in Asia. Generally, it is sensitive to flooding stress. Wild relatives of adzuki bean have shown higher tolerances to abiotic stressors than cultivars, but their responses to flooding are not well understood. In this study, the waterlogging tolerance levels of 202 accessions from two cultivated Vigna species including V. angularis var. angularis (cultivated adzuki bean), V. umbellata (rice bean), and two wild ones consisting of V. angularis var. nipponensis (wild adzuki bean), and V. nakashimae, were evaluated at the early vegetative stage using a foliar damage score. Additionally, the responses of 119 accessions from V. angularis var. nipponesis bean and V. nakashimae to submergence at the germination stage were evaluated using germination-related traits. Among the tested species, cultivated adzuki bean showed the lowest tolerance to waterlogging, while V. nakashimae showed the greatest. At the germination stage, seeds of V. nakashimae were more tolerant of submergence than seeds of V. angularis var. nipponesis, exhibiting significantly higher normal seedling indexes. There was no significant correlation between the early vegetative-stage index and either germination-stage index for both V. angularis var. nipponensis and V. nakashimae, suggesting that the genetic bases regulating flooding stress responses at the two growth stages differ. However, we identified four V. nakashimae accessions that exhibited tolerant or very tolerant responses to flooding at both stages, suggesting their potential for use in breeding flood-tolerant adzuki bean varieties.

  • 18 View
  • 0 Download
Selection of Soybean Accessions with Seed Storability Test Under Accelerated Aging Conditions
Hyun Jo, Noy Noy, Jong Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2023;11(4):263-270.   Published online December 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.4.263

Soybean [Glycine max (L.) Merrill] seed has poor storability under high temperature and high humidity. It loses viability in a relatively short time. Seed aging of stored soybeans leads to poor germination and a decrease in yield. The accelerated aging vigor test, which provides useful information for determining seed storability as well as field emergence potential, is a rapid aging experiment and could be used to determine soybean seed quality. This study was conducted to determine the seed viability of Korean soybean cultivars and soybean lines with altered fatty acid compositions under accelerated aging conditions. Results demonstrated that Songhagkong, a Korean soybean cultivar, was the most stable at 3, 4, and 5 days of accelerated aging conditions. Furthermore, two soybean lines with high stearic acid content exhibited >70.0% reduction rate, whereas three soybean lines with high oleic acid content exhibited 7.4%-11.8% reduction rates. Soybean lines with mid-oleic acid and elevated linolenic acid contents exhibited various reduction rates depending on genotypes. Therefore, these soybean lines can be used as breeding material for developing a new soybean cultivar with strong seed vigor and better storability under unfavorable conditions. Therefore, a genetic study on this soybean cultivar is warranted.

Citations

Citations to this article as recorded by  
  • Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology
    Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng
    Molecules.2025; 30(6): 1357.     CrossRef
  • Measures to Revitalize Seed Processing to Improve Added Value in Crop Breeding
    Jin-heon Kim, Dong-gyu Kim, Ki-Taek Kim, Chanju Yu
    Korean Journal of Breeding Science.2024; 56(1): 19.     CrossRef
  • Prediction of Seed Viability in Wheat (Triticum aestivum L.) Using Near-Infrared Reflectance Spectroscopy
    Hee-Jong Woo, Kyung-Soon Kim, So Yeon Hong, Hyemyeong Yoon, Nayoung Ro, Gyu Taek Cho, Ho-Cheol Ko, Dong Su Yu
    Korean Journal of Breeding Science.2024; 56(4): 461.     CrossRef
  • 8 View
  • 0 Download
  • 3 Crossref
Agronomic Traits of a New Soybean Germplasm with Higher Ratio of Four-seeded Pods
Hyun Jo, Ammala Namsavanh, Changwan Woo, Hwayeop Kim, Syada Nizer Sultana, Jong Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2022;10(3):197-202.   Published online August 31, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.3.197

The number of four-seeded pods is a plant trait that is of great interest in terms of increasing soybean production. The
objective
of this study was to understand the agronomic characteristics of four-seeded pods of FS1159, which contain a significantly higher ratio of four-seeded pods than do other genotypes. FS1159 showed a significantly lower ratio of one- and two-seeded pods and a significantly higher ratio of three- (39.6%) and four- (11.3%) seeded pods than did the four check soybeans. The average values of the traits of FS1159 in this study were: plant height, 58.1 cm; the number of nodes, 15.7; the number of branches, 6.5; and 100-seed weight, 20.3 g. These results indicate that FS1159 can be used as a new genetic resource to explore the traits of four-seeded-pod and improve the soybean yield.

  • 30 View
  • 0 Download
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

Citations to this article as recorded by  
  • 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
  • 18 View
  • 0 Download
  • 3 Crossref
Agronomic Traits and Forage Production in a Mixed-Planting with Corn for Forage Soybean Cultivars, Chookdu 1 and Chookdu 2
Jin-Dong Seo, Hyun Jo, Minsu Kim, Jong Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2019;7(2):123-131.   Published online June 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.2.123

Soybean [Glycine max (L.) Merr.] cultivar ‘Chookdu 1’ (registration number: No. 7159) and ‘Chookdu 2’ (registration number: No. 6758) were developed as forage soybean cultivars at Kyungpook National University, Republic of Korea. They were grown in tests over three years and compared with a commercial seed cultivar for seed yield and forage productivity planted in the same row in mixed plantings with corn. Chookdu 1 and Chookdu 2 are tall, indeterminate growth habit selections from a cross between wild soybean (Glycine soja Sieb. & Zucc.), ‘PI 483463’, and cultivated soybean, ‘Hutcheson’ (PI 518664). The plant height of Chookdu 1 and Chookdu 2 were 80.9 cm and 81.4 cm, respectively, compared to 54.7 cm for the ‘Pungsannamul’ commercial seed check. The three-year seed yield of Chookdu 1 and Chookdu 2 was 2.0 and 2.2 t/ha, respectively, and not significantly different from Pungsannamul at 2.4 t/ha. Of the two cultivars Chookdu 2 averaged the most total forage fresh weight (65.0 t/ha). The three year mean forage yield of mixed-planting of corn and Chookdu 2 and Chookdu 1 was 10.4% and 3.8% greater, respectively, than corn monoculture. Results show Chookdu 1 and Chookdu 2 are suitable soybean cultivars for mixed planting in the same row with corn to improve forage yield. They should be useful as parents to use in breeding to develop forage-type soybeans of high quality and yield for use in livestock feed.

Citations

Citations to this article as recorded by  
  • Forage yield, nutritional value, soil chemical composition, and soil microbial abundance under maize–legume intercropping systems in a paddy field
    Yowook Song, Sang-Hoon Lee, Jae Hoon Woo, Ki-Won Lee
    Journal of Crop Science and Biotechnology.2023; 26(3): 285.     CrossRef
  • Chemical Composition of Soybean Harvested in Different Stages of Maturity and Its Suitability for Forage Production
    Vita Sterna, Imants Jansons, Inga Jansone, Margita Damskalne
    Rural Sustainability Research.2023; 50(345): 67.     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
  • 11 View
  • 0 Download
  • 3 Crossref
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

Citations to this article as recorded by  
  • 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
  • 20 View
  • 0 Download
  • 9 Crossref
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
  • 19 View
  • 0 Download
  • 18 Crossref

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

Citations to this article as recorded by  
  • 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
  • Physicochemical, Sensory, and Microbiological Analysis of Fermented Drinks Made from White Kidney Bean Extract and Cow’s Milk Blends during Refrigerated Storage
    Ibaratkan Kurbanova, Lina Lauciene, Kristina Kondrotiene, Gintare Zakariene, Vitalijs Radenkovs, Sandra Kiselioviene, Alvija Salaseviciene, Agne Vasiliauskaite, Mindaugas Malakauskas, Mukarama Musulmanova, Loreta Serniene
    Microorganisms.2024; 12(9): 1832.     CrossRef
  • Genetic Diversity Analysis of Soybean Collection Using Simple Sequence Repeat Markers
    Alibek Zatybekov, Moldir Yermagambetova, Yuliya Genievskaya, Svetlana Didorenko, Saule Abugalieva
    Plants.2023; 12(19): 3445.     CrossRef
  • Effect of Population Size on Genome-Wide Association Study of Agronomic Traits in Soybean
    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
    Proceedings on applied botany, genetics and breeding.2020; 181(3): 81.     CrossRef
  • Nutritional Benefit of Soybean and Its Advancement in Research
    Anupam Saha, Suprodip Mandal
    Sustainable Food Production.2019; 5: 6.     CrossRef
  • 67 View
  • 0 Download
  • 12 Crossref

Research Articles

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.

Citations

Citations to this article as recorded by  
  • Machine learning for unmanned aerial vehicles-based soybean phenotyping: limits of cross-environment transfer and opportunities to reduce field measurements1
    João Amaro Ferreira Vieira Netto, Hernandes Peres Panichi, Paulo Eduardo Teodoro, Leonardo Lopes Bhering
    Pesquisa Agropecuária Tropical.2026;[Epub]     CrossRef
  • Soybean (Glycine max(L.) Merrill) germplasm characterization on plant architecture and yield traits for potential mechanical harvest
    Iddi Tabdeen, Shirley Lamptey, Benjamin Karikari
    Discover Plants.2025;[Epub]     CrossRef
  • The impact of planting density on yield and nutritional value of Glycine max (L.) Merr. under outdoor hydroponics in Armenia
    A. Tadevosyan, A. Matevosyan, A. Tovmasyan, A. Asatryan, A. Gasparyan, S. Mairapetyan
    Acta Horticulturae.2025; (1416): 513.     CrossRef
  • EVALUATION OF CHICKPEA (Cicer arietinum L.) GENOTYPES FOR GENETIC VARIABILITY AND MECHANIZATION POTENTIAL UNDER GANGETIC PLAINS
    A.P. Singh, S Majumdar, G.V. Kumar, W Emam, Y Tashkandy, Md. Hedayetullah, H.L. Singh, P.K. Singh, S Ray, F Homa, A Matuka, R Sadhukhan
    The Journal of Animal and Plant Sciences.2025; (1): 221.     CrossRef
  • Breeding Black Soybeans for High Yield and First Pod Height Is a Promising Approach to Improving Thai Commercial Soybean Varieties
    Jariya Chinnarat, Tidarat Monkham, Jirawat Sanitchon, Sompong Chankaew
    Agronomy.2025; 15(3): 600.     CrossRef
  • Insights into the Roles of Gibberellin and Cytokinin Levels in Regulating Elongation of Basal Internodes and Lowest Pod Height in Soybean
    Ankita Thapar, Pham Anh Tuan, Amarjot Kaur, Deepak Sharma, Belay T. Ayele
    Journal of Plant Growth Regulation.2025; 44(9): 5575.     CrossRef
  • ‘Ganghan,’ A High-Yielding and Mechanization-Compatible Soybean Cultivar with Lodging and Pod Shattering Resistance
    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
  • Wpływ zróżnicowanej rozstawy rzędów i ilości wysiewu na rozwój i plonowanie soi (Glycine max (L.) Merrill). Cz. I. Rozwój i cechy morfologiczne soi
    Małgorzata Gniadzik-Zasańska, Marcin Kozak, Anna Wondołowska-Grabowska
    Agronomy Science.2024; 79(1): 41.     CrossRef
  • Maximising soybean productivity with late maturity groups in Mediterranean irrigated systems
    Genís Simon-Miquel, Moritz Reckling, Daniel Plaza-Bonilla
    Field Crops Research.2024; 307: 109274.     CrossRef
  • Paddy Field and Mechanization-Adaptable Soybean Cultivar, ‘Jangpung’, with Fewer Branches and Higher First Pod Height
    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
  • Insights into management and physiological determinants of lowest pod height in soybean
    Piebiep Goufo, Robert W. Kluver, Aníbal Cerrudo, Seth L. Naeve
    Agronomy Journal.2024; 116(6): 3191.     CrossRef
  • Common Bean Plant Size and Yield in Response to Rates of Foliar-Applied Paclobutrazol, Mepiquat Chloride, and Prohexadione Calcium
    Luan Santos de Oliveira, Rogério Peres Soratto, Paulo Araquém Ramos Cairo, Leandro Dias da Silva, Sylvana Naomi Matsumoto, Ricardo de Andrade Silva
    Journal of Plant Growth Regulation.2023; 42(6): 3543.     CrossRef
  • Field Performance of Some Soybean [Glycine max (L.) Merr.] Cultivars Sown on Different Dates
    M. Necat IZGI
    Türkiye Tarımsal Araştırmalar Dergisi.2023; 10(1): 27.     CrossRef
  • Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops
    Marzhan Kuzbakova, Gulmira Khassanova, Irina Oshergina, Evgeniy Ten, Satyvaldy Jatayev, Raushan Yerzhebayeva, Kulpash Bulatova, Sholpan Khalbayeva, Carly Schramm, Peter Anderson, Crystal Sweetman, Colin L. D. Jenkins, Kathleen L. Soole, Yuri Shavrukov
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Precrops and N-fertilizer impacts on soybean performance in tropical regions of Brazil
    Anderson Hideo Yokoyama , Claudemir Zucareli , Antonio Eduardo Coelho, Marco Antonio Nogueira , Julio Cezar Franchini , Henrique Debiasi, Alvadi Antonio Balbinot Junior
    Acta Scientiarum. Agronomy.2022; 44: e54650.     CrossRef
  • Water productivity of soybeans under regulated surface and subsurface drip irrigation conditions
    Koksal Aydinsakir, Nazmi Dinc, Dursun Buyuktas, Mehmet Kocaturk, Cevdet Fehmi Ozkan, Cihan Karaca
    Irrigation Science.2021; 39(6): 773.     CrossRef
  • Farklı Ekim Zamanlarının Soya Fasulyesi Çeşitlerinde Bazı Tarımsal Özellikler Üzerine Etkileri
    Melih OKCU
    Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi.2020;[Epub]     CrossRef
  • A model for the yield losses estimation in an early soybean (Glycine max (L.) Merr.) cultivar depending on the cutting height at harvest
    K. Rębilas, A. Klimek-Kopyra, M. Bacior, T. Zając
    Field Crops Research.2020; 254: 107846.     CrossRef
  • Genotype and Sowing Time Effects on Soybean Yield and Quality
    Violeta Mandić, Snežana Đorđević, Nikola Đorđević, Zorica Bijelić, Vesna Krnjaja, Maja Petričević, Milan Brankov
    Agriculture.2020; 10(11): 502.     CrossRef
  • Lodging-Tolerant, High Yield, Mechanized-Harvest Adaptable and Small Seed Soybean Cultivar ‘Aram’ for Soy-sprout
    Beom Kyu Kang, Hyun Tae Kim, Jong Min Ko, Hong Tai Yun, Young Hoon Lee, Jeong Hyun Seo, Chan Sik Jung, Sang Ouk Shin, Eun Yeong Oh, Hong Sik Kim, In Seok Oh, In Youl Baek, Jae Hyun Oh, Min Jeong Seo, Woo Sam Yang, Dong Kwan Kim, Do Yeon Gwak
    Korean Journal of Breeding Science.2019; 51(3): 214.     CrossRef
  • Westward expansion of soybean: adaptability of maturity group 00 genotypes to row spacing and seeding density under irrigation in southern Alberta
    Tram T.N. Thai, Francis J. Larney, James E. Thomas, Manjula S. Bandara, Doon G. Pauly, Brian Beres
    Canadian Journal of Plant Science.2019; 99(5): 715.     CrossRef
  • Correlations and Path Coefficients for Yield Related Traits in Soybean Progenies
    Thi Thuy Hang Vu, Thi Tuyet Cham Le, Dinh Hoa Vu, Thanh Tuan Nguyen, Thi Ngoc
    Asian Journal of Crop Science.2019; 11(2): 32.     CrossRef
  • Identification of Major QTLs Associated With First Pod Height and Candidate Gene Mining in Soybean
    Hongwei Jiang, Yingying Li, Hongtao Qin, Yongliang Li, Huidong Qi, Candong Li, Nannan Wang, Ruichao Li, Yuanyuan Zhao, Shiyu Huang, Jingyao Yu, Xinyu Wang, Rongsheng Zhu, Chunyan Liu, Zhenbang Hu, Zhaoming Qi, Dawei Xin, Xiaoxia Wu, Qingshan Chen
    Frontiers in Plant Science.2018;[Epub]     CrossRef
  • ADAPTATION ABILITIES AND QUALITY PARAMETERS OF SELECTED SOYBEAN LINES UNDER DOUBLE CROPPING IN THE MEDITERRANEAN REGION
    Emre ILKER, Mehmet KOCATURK, Abdullah KADIROGLU, Aliye YILDIRIM, Gulsum OZTURK, Hakan YILDIZ, İbrahim KOKEN
    Turkish Journal Of Field Crops.2018; 23(1): 49.     CrossRef
  • 31 View
  • 0 Download
  • 24 Crossref
Reaction of Soybean Cyst Nematode Resistant Plant Introductions to Root-Knot and Reniform Nematodes
Jeong-Dong Lee, Hyun-Jee Kim, Robert T. Robbins, James A. Wrather, Jason Bond, Henry T. Nguyen, J. Grover Shannon
Plant Breed. Biotech. 2015;3(4):346-354.   Published online November 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.4.346

Soybean cyst [SCN, Heterodera glycines Ichinohe], southern root-knot [RKN, Meloidogyne incognita (Kofoid and White) Chitwood] and reniform nematodes [RN, Rotylenchlus reniformis (Linford and Oliveria)] are common plant-parasitic nematode species in southern US fields. Each nematode individually or collectively causes significant economic losses to field grown soybean. A subset of 120 soybean plant introductions (PIs) selected from the USDA Soybean Germplasm Collection have been shown to be resistant to one or more SCN populations (HG Types); however, many of these PIs have not been screened for resistance to either RKN or RN. The
objective
of this research was to evaluate these germplasm accessions for resistance to RKN and RN. The evaluation for RKN resistance was conducted in RKN infested field plantings after potatoes near Charleston, MO in 2006 and 2007. The evaluation for RN resistance was performed in a greenhouse at Fayetteville, AR, in 2007. Out of these accessions, 64 PIs were identified with high or moderate resistance to RKN. Of these 64 lines, 24 accessions showed good resistance to both RKN and RN. These new sources of resistance to multiple nematodes will be valuable materials for soybean breeding programs to develop new resistant cultivars that can overcome yield losses caused by one or more of these nematode species.

Citations

Citations to this article as recorded by  
  • Combating Root-Knot Nematodes (Meloidogyne spp.): From Molecular Mechanisms to Resistant Crops
    Himanshu Yadav, Philip A. Roberts, Damar Lopez-Arredondo
    Plants.2025; 14(9): 1321.     CrossRef
  • Evaluation Soybean Cultivars for Reaction to Heterodera glycines Populations HG Types 7 and 1.3.4.7 in Northeast China
    Jingsheng Chen, Yuanyuan Zhou, Yanfeng Hu, Di Zhao, Changjun Zhou, Rujie Shi, Miao Sun, Li Zhang, Guowei Chen, Haiyan Li, Lijie Chen, Guosheng Xiao
    Life.2023; 13(1): 248.     CrossRef
  • Development of SNP molecular markers associated with resistance to reniform nematode in soybean using KASP genotyping
    Juliet E. Wilkes, Benjamin Fallen, Chris Saski, Paula Agudelo
    Euphytica.2023;[Epub]     CrossRef
  • Registration of ‘S16‐11644C’: A maturity group IV soybean cultivar with high‐yielding performance and broad disease resistance
    Pengyin Chen, J. Grover Shannon, Dongho Lee, Matheus Ogando do Granja, Md Liakat Ali, Caio Canella Vieira, Yi‐Chen Lee, Emanuel Ferrari do Nascimento, Andrew Scaboo, Melissa Crisel, Scotty Smothers, Michael Clubb, Stewart Selves, Henry T. Nguyen, Zenglu L
    Journal of Plant Registrations.2023; 17(1): 67.     CrossRef
  • Controle de soja voluntária em áreas cultivadas com Crotalaria spectabilis
    Gustavo de Souza Oliveira, Guilherme Braga Pereira Braz, Dieimisson Paulo Almeida, Sergio de Oliveira Procópio, Silvio Vasconcelos de Paiva Filho, Matheus de Freitas Souza, Gustavo André Simon
    Revista de Ciências Agroveterinárias.2023; 22(3): 509.     CrossRef
  • Breeding for disease resistance in soybean: a global perspective
    Feng Lin, Sushil Satish Chhapekar, Caio Canella Vieira, Marcos Paulo Da Silva, Alejandro Rojas, Dongho Lee, Nianxi Liu, Esteban Mariano Pardo, Yi-Chen Lee, Zhimin Dong, Jose Baldin Pinheiro, Leonardo Daniel Ploper, John Rupe, Pengyin Chen, Dechun Wang, He
    Theoretical and Applied Genetics.2022; 135(11): 3773.     CrossRef
  • ‘S16‐14730C’: A high‐yielding conventional soybean cultivar with indeterminate growth habit and multiple disease resistance adapted to the Mid‐South
    P. Chen, G. Shannon, A. Scaboo, M. Crisel, S. Smothers, M. Clubb, S. Selves, C. C. Vieira, M. L. Ali, D. Lee, N. Lord, H. T. Nguyen, Z. Li, M. G. Mitchum, J. Bond, C. Meinhardt, M. Usovsky, S. Li, A. Mengistu, B. Zhang, L. Mozzoni, R. T. Robbins
    Journal of Plant Registrations.2022; 16(2): 287.     CrossRef
  • Classification Methods and Identification of Reniform Nematode Resistance in Known Soybean Cyst Nematode-Resistant Soybean Genotypes
    Mariola Usovsky, Robert T. Robbins, Juliet Fultz Wilkes, Devany Crippen, Vijay Shankar, Tri D. Vuong, Paula Agudelo, Henry T. Nguyen
    Plant Disease.2022; 106(2): 382.     CrossRef
  • Genome-wide association study for resistance to the Meloidogyne javanica causing root-knot nematode in soybean
    Jean Carlos Alekcevetch, André Luiz de Lima Passianotto, Everton Geraldo Capote Ferreira, Adriana Brombini dos Santos, Danielle Cristina Gregório da Silva, Waldir Pereira Dias, François Belzile, Ricardo Vilela Abdelnoor, Francismar Correa Marcelino-Guimar
    Theoretical and Applied Genetics.2021; 134(3): 777.     CrossRef
  • Evaluation of Soybean Germplasm for Resistance to Multiple Nematode Species: Heterodera glycines, Meloidogyne incognita, and Rotylenchulus reniformis
    Mariola Klepadlo, Clinton G. Meinhardt, Tri D. Vuong, Gunvant Patil, Nicole Bachleda, Heng Ye, Robert T. Robbins, Zenglu Li, J. Grover Shannon, Pengyin Chen, Khalid Meksem, Henry T. Nguyen
    Crop Science.2018; 58(6): 2511.     CrossRef
  • Quantitative trait loci mapping of Meloidogyne incognita and M. hapla resistance in a recombinant inbred line population of soybean
    Chunjie Li, Jialin Wang, Jia You, Xinpeng Wang, Baohui Liu, Jun Abe, Fanjiang Kong, Congli Wang
    Nematology.2018; 20(6): 525.     CrossRef
  • Advancements in breeding, genetics, and genomics for resistance to three nematode species in soybean
    Ki-Seung Kim, Tri D. Vuong, Dan Qiu, Robert T. Robbins, J. Grover Shannon, Zenglu Li, Henry T. Nguyen
    Theoretical and Applied Genetics.2016; 129(12): 2295.     CrossRef
  • 17 View
  • 0 Download
  • 12 Crossref

Review Article

The Current Status of Forage Soybean
Sovetgul Asekova, J. Grover Shannon, Jeong-Dong Lee
Plant Breed. Biotech. 2014;2(4):334-341.   Published online December 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.4.334

Soybeans have a long history as a nutritious hay and silage crop. Early research extensively investigated forage yield, adaptability to various maturity zones, and nutritional values. Evaluation and breeding with diverse soybean accessions continued to optimize soybean forage yield and quality. There is still interest by breeders in developing more desirable forage soybeans, depending on market demand, and the existing interests of crop and livestock producers. In this review, we provide an update compiled from recent publications on the use and development of soybean as a forage crop.

Citations

Citations to this article as recorded by  
  • Crossing latitude introduction delayed flowering and facilitated dry matter accumulation of soybean as a forage crop
    Dong An, Xingfa Lai, Tianfu Han, Jean Marie Vianney Nsigayehe, Guixin Li, Yuying Shen
    Journal of Integrative Agriculture.2025; 24(4): 1436.     CrossRef
  • Intercropping of Soybean and Common Millet—A Rational Way of Forage Biomass Quality Enhancement
    Milena Šenk, Milena Simić, Dušanka M. Milojković-Opsenica, Milan Brankov, Jelena Trifković, Vesna Perić, Vesna Dragičević
    Agriculture.2025; 15(19): 2029.     CrossRef
  • Comparative Analysis of Compositional Equivalence in Drought-Tolerant Genetically Modified Soybeans
    Ha-Jung Kang, Hyoun-Min Park, Sung-Dug Oh, Ye-Jin Jang, Jong-Chan Park, Seon-Woo Oh, Sang-Gu Lee, Soo-Yun Park, An-Cheol Chang
    Korean Journal of Breeding Science.2025; 57(4): 445.     CrossRef
  • Seed quality under elevated CO2 differs in soybean cultivars with contrasting yield responses
    Anthony Digrado, Christopher M. Montes, Ivan Baxter, Elizabeth A. Ainsworth
    Global Change Biology.2024;[Epub]     CrossRef
  • Contribution of Photosynthetic, Root and Phenotypic Traits to Soybean Plant Height
    Rongzhen Suo, Mingjiu Wang, Tianqi Zhao
    Sustainability.2024; 16(7): 2886.     CrossRef
  • Effect of Growth Stage on Nutrition, Fermentation Quality, and Microbial Community of Semidry Silage from Forage Soybean
    Kexin Wang, Shengnan Sun, Yilin Zou, Yongqi Gao, Zifeng Gao, Bo Wang, Yi Hua, Yalin Lu, Guofu Hu, Ligang Qin
    Plants.2024; 13(5): 739.     CrossRef
  • Effects of Harvesting Stages and Additives on the Chemical Composition, Fermentation Quality and Relative Feed Value of Soybean Silages Varieties
    Ahmet Korhan Şahar, Sibel Erdoğan, Şeyda Zorer Çelebi
    Tarım Bilimleri Dergisi.2024; 30(2): 325.     CrossRef
  • Chemical Composition of Soybean Harvested in Different Stages of Maturity and Its Suitability for Forage Production
    Vita Sterna, Imants Jansons, Inga Jansone, Margita Damskalne
    Rural Sustainability Research.2023; 50(345): 67.     CrossRef
  • Deep associations: the symbiotic relationships between amphipods and large invertebrates from bathyal of the Sea of Okhotsk
    I. N. Marin
    Invertebrate Zoology.2023; 20(1): 108.     CrossRef
  • Genome-wide association study for biomass accumulation traits in soybean
    Xin Wang, Shaodong Zhou, Jie Wang, Wenxin Lin, Xiaolei Yao, Jiaqing Su, Haiyang Li, Chao Fang, Fanjiang Kong, Yuefeng Guan
    Molecular Breeding.2023;[Epub]     CrossRef
  • Seeds of n-GM Soybean Varieties Cultivated in Poland and Their Processing Products as High-Protein Feeds in Cattle Nutrition
    Barbara Niwińska, Kamil Witaszek, Gniewko Niedbała, Krzysztof Pilarski
    Agriculture.2020; 10(5): 174.     CrossRef
  • Utilization of Thinned Sunflower and Soybean Intercrops as Forage: A Useful Strategy for Small Scale Farms in Intensive Agricultural Systems
    Heba Sabry Attia Salama, Hassan El-Sayed Khalil, Ali Issa Nawar
    International Journal of Plant Production.2020; 14(3): 487.     CrossRef
  • Agronomic Traits and Forage Production in a Mixed-Planting with Corn for Forage Soybean Cultivars, Chookdu 1 and Chookdu 2
    Jin-Dong Seo, Hyun Jo, Minsu Kim, Jong Tae Song, Jeong-Dong Lee
    Plant Breeding and Biotechnology.2019; 7(2): 123.     CrossRef
  • Nutritive value and fatty acid content of soybean plant [Glycine max (L.) Merr.] during its growth cycle
    Pier Giorgio Peiretti, Giorgia Meineri, Erica Longato, Sonia Tassone
    Italian Journal of Animal Science.2018; 17(2): 347.     CrossRef
  • Harnessing the Potential of Forage Legumes, Alfalfa, Soybean, and Cowpea for Sustainable Agriculture and Global Food Security
    Krishnanand P. Kulkarni, Rupesh Tayade, Sovetgul Asekova, Jong Tae Song, J. Grover Shannon, Jeong-Dong Lee
    Frontiers in Plant Science.2018;[Epub]     CrossRef
  • Analysis of Various Quality Attributes of Sunflower and Soybean Plants by Near Infrared Reflectance Spectroscopy: Development and Validation Calibration Models
    Uttam Saha, Dinku Endale, P. Glynn Tillman, W. Carroll Johnson, Julia Gaskin, Leticia Sonon, Harry Schomberg, Yuangen Yang
    American Journal of Analytical Chemistry.2017; 08(07): 462.     CrossRef
  • Genetic analysis of shoot fresh weight in a cross of wild (G. soja) and cultivated (G. max) soybean
    Sovetgul Asekova, Krishnanand P. Kulkarni, Gunvant Patil, Minsu Kim, Jong Tae Song, Henry T. Nguyen, J. Grover Shannon, Jeong-Dong Lee
    Molecular Breeding.2016;[Epub]     CrossRef
  • Evaluation of crude protein, crude oil, total flavonoid, total polyphenol content and DPPH activity in the sprouts from a high oleic acid soybean cultivar

    Korean Journal of Agricultural Science.2016;[Epub]     CrossRef
  • Determination of forage quality by near-infrared reflectance spectroscopy in soybean
    Sovetgul ASEKOVA, Sang-Ik HAN, Hong-Jib CHOI, Sang-Jo PARK, Dong-Hyun SHIN, Chan-Ho KWON, J. Grover SHANNON, Jeong-Dong LEE
    TURKISH JOURNAL OF AGRICULTURE AND FORESTRY.2016; 40: 45.     CrossRef
  • Novel Quantitative Trait Loci for Forage Quality Traits in a Cross between PI 483463 and ‘Hutcheson’ in Soybean
    Sovetgul Asekova, Krishnanand P. Kulkarni, Minsu Kim, Jeong‐Hwa Kim, Jong Tae Song, J. Grover Shannon, Jeong‐Dong Lee
    Crop Science.2016; 56(5): 2600.     CrossRef
  • 29 View
  • 0 Download
  • 20 Crossref
Research Article
Evaluation of Forage Yield and Quality in Wild Soybeans (Glycine soja Sieb. and Zucc.)
Eun Ja Lee, Hong-Jib Choi, Dong-Hyun Shin, Chan-Ho Kwon, J. Grover Shannon, Jeong-Dong Lee
Plant Breed. Biotech. 2014;2(1):71-79.   Published online March 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.1.071

Wild soybeans (Glycine soja Sieb. & Zucc.) are generally higher in protein and lower in oil with potential advantages as forage than cultivated soybeans. This study was conducted to evaluate forage yield and quality of wild soybeans. Three wild soybeans were compared to three cultivated soybeans for forage yield and quality at the full bloom stage, full pod stage, and full seed stage (R6) of development. The wild soybeans had significantly lower forage yield than cultivated soybeans at R6 which was determined to be the best stage to harvest based on forage quantity and quality. Wild soybean also had lower crude fat (2.0%) and crude protein (17.7%) concentration than cultivated soybean (5.7 and 21.3%, respectively) at the R6 stage. There were no significant differences for neutral detergent fiber, acid detergent fiber and relative feed value among growth stages between cultivated and wild soybean. The neutral detergent fiber was 40.2 and 40.4%, acid detergent fiber was 26.1% and 27.5%, and relative feed value was 161 and 158 at R6 stage for cultivated and wild soybean, respectively. Wild soybean had less forage yield at harvest time but had similar forage quality comparable to cultivated soybean. However, wild soybeans have smaller and softer stems for potentially improved palatability and feed intake than cultivated soybeans. Therefore, it will be a good genetic source to improve forage characteristics of soybean.

Citations

Citations to this article as recorded by  
  • Comparative Analysis of Compositional Equivalence in Drought-Tolerant Genetically Modified Soybeans
    Ha-Jung Kang, Hyoun-Min Park, Sung-Dug Oh, Ye-Jin Jang, Jong-Chan Park, Seon-Woo Oh, Sang-Gu Lee, Soo-Yun Park, An-Cheol Chang
    Korean Journal of Breeding Science.2025; 57(4): 445.     CrossRef
  • Contribution of Photosynthetic, Root and Phenotypic Traits to Soybean Plant Height
    Rongzhen Suo, Mingjiu Wang, Tianqi Zhao
    Sustainability.2024; 16(7): 2886.     CrossRef
  • Selection of Soybean Germplasm for Mixed Cropping with Corn on the Same Row to Produce Better Yield and Value-Added Forage
    Jin-Dong Seo, Minsu Kim, Yowook Song, Danim Jo, Jong Tae Song, Jong Duk Kim, Chan Ho Kwon, Hyun Jo, Jeong-Dong Lee
    Korean Journal of Breeding Science.2019; 51(1): 1.     CrossRef
  • Effects of soybean silage on feeding behavior, performance, and meat quality of lambs
    V.M. Protes, C. Costa, C.M. Pariz, A.M. Castilhos, P.R.L. Meirelles, V.Z. Longhini, R.O. Roça, H.A. Ricardo, V.F.P. Melo
    Small Ruminant Research.2018; 164: 64.     CrossRef
  • Genetic analysis of shoot fresh weight in a cross of wild (G. soja) and cultivated (G. max) soybean
    Sovetgul Asekova, Krishnanand P. Kulkarni, Gunvant Patil, Minsu Kim, Jong Tae Song, Henry T. Nguyen, J. Grover Shannon, Jeong-Dong Lee
    Molecular Breeding.2016;[Epub]     CrossRef
  • 18 View
  • 0 Download
  • 5 Crossref