Adi Sofyan Ansori, M., & Aji Suseno, D. (2018). Impact of Policy of Soybean Price Stability on Imported and Local Soybean Price. Economics Development Analysis Journal, 6(2), 209–214.
https://doi.org/10.15294/edaj.v6i2.22218
Alsajri, F. A., Wijewardana, C., Irby, J. T., Bellaloui, N., et al. (2020). Developing functional relationships between temperature and soybean yield and seed quality. Agronomy Journal, 112(1), 194–204.
https://doi.org/10.1002/agj2.20034
Azam, M., Zhang, S., Qi, J., et al. (2021). Profiling and associations of seed nutritional characteristics in Chinese and USA soybean cultivars. Journal of Food Composition and Analysis, 98, 103803.
https://doi.org/10.1016/j.jfca.2021.103803
Balakay, G. T., Selitskiy, S. A., Dokuchayeva, L. M., & Yurkova, R. Y. (2020). Rostov Region Territory Zoning on Agro-Climate Subzones for Perspective Soy Varieties of Various Maturity Groups. Scientific Journal of Russian Scientific Research Institute of Land Improvement Problems, 3(39), 52–67.
https://doi.org/10.31774/2222-1816-2020-3-52-67
Boiarskaia, A., Hasegawa, H., Boiarskii, B., & Lyude, A. (2020). History of development of Soybean Production in the Amur Region and Far East District in the USSR. IOP Conf. Ser.: Earth Environ. Sci., 548(2), 022079.
https://doi.org/10.1088/1755-1315/548/2/022079
Boiarskii, B., Hasegawa, H., & Lyude, A. (2018). Demand for Russian soybean based on the needs of food industry in Japan. Scientific Support for Soybean Production: Problems and Prospects, 36–41.
Boiarskii, B., Hasegawa, H., Lyude, A., et al. (2020). Current Situation and Perspectives for Soybean Production in Amur Region, Russian Federation. AMA, Agricultural Mechanization in Asia, Africa and Latin America, 51(2), 33–38.
Boiarskii, B., Hasegawa, H., Sinegovskii, M., et al. (2019). Application of NDVI Data to Analyse the Effects of Sowing Methods and Seeding Rates on Soybean Crop Yield. Journal of Engineering and Applied Sciences, 14(12), 4290–4294.
https://doi.org/10.36478/jeasci.2019.4290.4294
Butovets, E., Lukyanchuk, L., & Vasina, E. (2022). Comparative Assessment of Promising Soybean Varieties at the Final Selection Stage. In: Lecture Notes in Networks and Systems. Springer International Publishing.
https://doi.org/10.1007/978-3-030-91402-8_26
Bychkova, E. A., & Borisova, A. V. (2021). Soy protein concentrates: production technologies and application prospects. Polzunovskiy Vestnik, 2, 88–94.
Cober, E. R., Daba, K. A., Warkentin, T. D., et al. (2023). Soybean seed protein content is lower but protein quality is higher in Western Canada compared with Eastern Canada. Canadian Journal of Plant Science, 103(4), 411–421.
https://doi.org/10.1139/cjps-2022-0147
Demianova-Roy, G., Mataryeva, I., Atamanova, E., et al. (2022). Soybean (Glycine Max) as an Economic and Ecological Object of Introduction to the Northwestern Region of Russia. Periódico Tchê Química, 19(41), 63–82.
Dorohov, A. S., Belyshkina, M. E., & Bolsheva, K. K. (2019). Soybean production in the Russian Federation: Main trends and development prospects. Vestnik of Ulyanovsk State Agricultural Academy, 3(47), 25–33.
https://doi.org/10.18286/1816-4501-2019-3-25-33
Gong, L., Liu, D., Jiang, L., et al. (2022). Distribution characteristics of climate potential productivity of soybean in frigid region and its response to climate change. Environmental Science and Pollution Research, 29(5), 7452–7464.
https://doi.org/10.1007/s11356-021-15879-y
Hartwig, E. E. (1970). Growth and reproductive characteristics of soybeans [Glycinemax (L) Merr.] grown under short-day conditions. Tropical Science, 12(1).
Hooker, J. C., Nissan, N., Luckert, D., et al. (2023). A Multi-Year, Multi-Cultivar Approach to Differential Expression Analysis of High- and Low-Protein Soybean (Glycine max). International Journal of Molecular Sciences, 24(1), 222.
https://doi.org/10.3390/ijms24010222
Jia, H., Jiang, B., Wu, C., et al. (2014). Maturity group classification and maturity locus genotyping of early-maturing soybean varieties from high-latitude cold regions. PLoS ONE, 9(4), e94139.
https://doi.org/10.1371/journal.pone.0094139
Jin, H., Yang, X., Zhao, H., et al. (2023). Genetic analysis of protein content and oil content in soybean by genome-wide association study. Frontiers in Plant Science, 14, 1–12.
https://doi.org/10.3389/fpls.2023.1182771
Karges, K., Bellingrath-Kimura, S. D., Watson, C. A., et al. (2022). Agro-economic prospects for expanding soybean production beyond its current northerly limit in Europe. European Journal of Agronomy, 133, 126415.
https://doi.org/10.1016/j.eja.2021.126415
Katyshev, A. I., Katysheva, N. B., Fedoseeva, I. V., et al. (2021). Analysis of differential expression of soybean genes as basis for development of genetic markers of early ripening. Siberian Journal of Life Sciences and Agriculture, 13(1), 35–57.
https://doi.org/10.12731/2658-6649-2021-13-1-35-57
Lambirth, K. C., Whaley, A. M., Blakley, I. C., et al. (2015). A Comparison of transgenic and wild type soybean seeds: Analysis of transcriptome profiles using RNA-Seq. BMC Biotechnology, 15(1).
https://doi.org/10.1186/s12896-015-0207-z
Lyude, A., Boiarskii, B., Matsishina, N., et al. (2021). Climate change impact on extreme flood occurrence and flood-related damage to the Primorye Region agriculture. IOP Conference Series: Earth and Environmental Science, 677(5), 052028.
https://doi.org/10.1088/1755-1315/677/5/052028
Mikhailova, M., Sinegovskaia, V., Boiarskii, B., et al. (2020). Evaluation of the influence of biologically active substances on the physiological processes of soybean plants with the use of multispectral camera and unmanned aerial vehicle. IOP Conference Series: Earth and Environmental Science, 548(3), 032028.
https://doi.org/10.1088/1755-1315/548/3/032028
Ministry of Agriculture of Russia. (2022). State Register for Selection Achievements Admitted for Usage (National List) (Plant varieties, Vol. 1). FGBNU Rosinformagrotech.
Minoli, S., Jägermeyr, J., Asseng, S., et al. (2022). Global crop yields can be lifted by timely adaptation of growing periods to climate change. Nature Communications, 13(1).
https://doi.org/10.1038/s41467-022-34411-5
Mourtzinis, S., Gaspar, A. P., Naeve, S. L., & Conley, S. P. (2017). Planting date, maturity, and temperature effects on soybean seed yield and composition. Agronomy Journal, 109(5), 2040–2049.
https://doi.org/10.2134/agronj2017.05.0247
Muchlish Adie, M., & Krisnawati, A. (2014). Soybean opportunity as source of new energy in Indonesia. International Journal of Renewable Energy Development, 3(1), 37–43.
https://doi.org/10.14710/ijred.3.1.37-43
Novikova, L. Y., Bulakh, P. P., Nekrasov, A. Y., & Seferova, I. V. (2020). Soybean Response to Weather and Climate Conditions in the Krasnodar and Primorye Territories of Russia over the Past Decades. Agronomy, 10(9), 1278.
https://doi.org/10.3390/agronomy10091278
QGIS. (2022). QGIS Geographic Information System. QGIS Association.
Qiao, C., Cheng, C., & Ali, T. (2023). How climate change and international trade will shape the future global soybean security pattern. Journal of Cleaner Production, 422, 138603.
https://doi.org/10.1016/j.jclepro.2023.138603
R Core Team. (2023). R: A language and environment for statistical computing. In: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Rezvichkiy, T., Tikidzhan, R., Pozdniakova, A., & Mitlash, A. (2021). Main diseases on soybean crops. The Scientific Heritage, 59, 6–8.
Shafigullin, D. R., Romanova, E. V., Gins, M. S., et al. (2016). Evaluation and Selection of Different Varieties and Lines of Soybean for Breeding for Valuable Traits in the Central European Part of Russia. Vegetable Crops of Russia, 2, 28–32.
https://doi.org/10.18619/2072-9146-2016-2-28-32
Shchegorets, O., Tikhonchuk, P., Bumbar, I., & Yakimenko, A. (2020). Innovation as a factor in increasing the efficiency of soybean production in the Amur Region. E3S Web of Conferences, 203, 05010.
https://doi.org/10.1051/e3sconf/202020305010
Shi, W., Tao, F., & Zhang, Z. (2013). A review on statistical models for identifying climate contributions to crop yields. Journal of Geographical Sciences, 23(3), 567–576.
https://doi.org/10.1007/s11442-013-1029-3
Sinegovskaia, V. (2021). Scientific provision of an effective development of soybean breeding and seed production in the Russian Far East. Vavilovskii Zhurnal Genetiki i Selektsii, 25(4), 374–380.
https://doi.org/10.18699/VJ21.040
Sinegovskaia, V., Sinegovskii, M., & Antonova, N. (2016). The role of the variety in improving the efficiency of soybean production in the Amur region. Vestnik Rossiiskoi Sel’skokhozyaistvennoi Nauki, 5(5), 28–30.
Sinegovskii, M., Yuan, S., Sinegovskaia, V., & Han, T. (2018). Current Status of the Soybean Industry and Research in the Russian Federation. Soybean Science, 37(01), 1–7.
Song, W., Sun, S., Ibrahim, S. E., et al. (2019). Standard cultivar selection and digital quantification for precise classification of maturity groups in soybean. Crop Science, 59(5), 1997–2006.
https://doi.org/10.2135/cropsci2019.02.0095
Staniak, M., Czopek, K., Stępień-Warda, A., et al. (2021). Cold stress during flowering alters plant structure, yield and seed quality of different soybean genotypes. Agronomy, 11(10), 1–14.
https://doi.org/10.3390/agronomy11102059
Tikhonchuk, P. V., Shegorets, O. V., Zakharova, E. B., et al. (2016). Agriculture System of the Amur Region (production). Far Eastern State Agrarian University.
Tiwari, S. P. (2017). Emerging Trends in Soybean Industry. Soybean Research, 15(1).
Vaitekhovich, I., Lyude, A., Boiarskaia, A., & Hasegawa, H. (2022). The possibility of introduction and cultivation of vegetable soybean in the Amur Region. IOP Conference Series: Earth and Environmental Science, 1045(1).
https://doi.org/10.1088/1755-1315/1045/1/012064
Wang, M., Liu, D., Wang, Z., & Li, Y. (2023). Structural Evolution of Global Soybean Trade Network and the Implications to China. Foods, 12(7), 1550.
https://doi.org/10.3390/foods12071550
Yerzhebayeva, R., Didorenko, S., Amangeldiyeva, A., et al. (2023). Marker-Assisted Selection for Early Maturing E Loci in Soybean Yielded Prospective Breeding Lines for High Latitudes of Northern Kazakhstan. Biomolecules, 13(7), 1146.
https://doi.org/10.3390/biom13071146
Zakharova, E., & Nemykin, A. (2022). The Effect of Tillage Minimization on the Weed Infestation of Soybean and Grain Crops in the Conditions of the Amur Region in Russia. In: Lecture Notes in Networks and Systems. Springer, Cham.
https://doi.org/10.1007/978-3-030-91402-8_51
Zheng, H. F., Chen, L. D., & Han, X. Z. (2009). The effects of global warming on soybean yields in a long-term fertilization experiment in Northeast China. Journal of Agricultural Science, 147(5), 569–580.
https://doi.org/10.1017/S002185960900879X
Zotikov, V. I., & Vilyunov, S. D. (2021). Present-day breeding of legumes and groat crops in Russia. Vavilovskii Zhurnal Genetiki i Selektsii, 25(4), 381–387.
https://doi.org/10.18699/vj21.041
Zubareva, K. U. (2020). Soybeans in Russia. Bulletin of Rural Development and Social Policy, 4(28).