Aghaei M., Darvishzadeh R., Hassani A. (2012): Molecular characterisation and similarity relationships among Iranian basil (Ocimum basilicum L.) accessions using inter simple sequence repeat markers. The Revista Ciência Agronômica, 43: 312–320.  https://doi.org/10.1590/S1806-66902012000200014 Aleem M., Aleem S., Sharif I., Wu Z., Tahir A., Atif R.M., Cheema H.M.N., Shakeel A., Lei S., Yu D., Wang H., Kaushik P., Alyemeni M.N., Bhat J.A., Ahmad P. (2022): Characterisation of SOD and GPX gene families in the soybeans in response to drought and salinity stresses. Antioxidants, 11: 460. https://doi.org/10.3390/antiox11030460 Arslan E., Gülbahçe Mutlu E., Dursun Ö., Bağcı S.A. (2020): Comparative analysis of agronomic traits and ISSR method among some soybeans [Glycine Max (L.) Merr.] genotypes. KSU Journal of Agricultural Nature, 2: 687–696.  https://doi.org/10.18016/ksutarimdoga.v23i53104.631286 Awoke T. (2022): Performance evaluation of soybean (Glycine max L.) varieties for growth, yield and yield components under irrigation at lowland area of south Omo zone, Southern Ethiopia. Journal of Agriculture and Aqua-culture, 4: 1–6. Begna T. (2021): Role and economic importance of crop genetic diversity in food security. Journal of Agricultural Science and Food Technology, 7: 164–169. Bisen A., Khare D., Nair P. (2015): SSR analysis of 38 genotypes of soybean (Glycine max (L.) Merr.) genetic diversity in India. Physiology Molecular Biology Plants, 21: 109–115. https://doi.org/10.1007/s12298-014-0269-8 Carrão-Panizzi M.C, Kwanyuen P., Erhan S.Z., Lopes I.O.N. (2008): Genetic variation and environmental effects on beta-conglycinin and glycinin content in Brazilian soybean cultivars. Brazil Agricultural Research, 43: 1105–1114.  https://doi.org/10.1590/S0100-204X2008000900002 Chen H., Guo A., Wang J., Gao J., Zhang S., Zheng J., Huang X., Xi J., Yi K. (2020): Evaluation of genetic diversity within asparagus germplasm based on morphological traits and ISSR markers. Physiology and Molecular Biology of Plants, 26: 305–315.  https://doi.org/10.1007/s12298-019-00738-5 Devasirvatham V., Tan D. (2018): Impact of high temperature and drought stresses on chickpea production. Agronomy, 8: 145. https://doi.org/10.3390/agronomy8080145 Du Plessis M., Vorster J., Kunert K. (2013): Cysteine protease expression and activity in soybean nodules during development and stress. South African Journal of Botany, 86: 164. https://doi.org/10.1016/j.sajb.2013.02.097 Gul I., Alinca S. (2015): Molecular characterisation and determination of morphological traits of the button medic (Medicago orbicularis L.). Pakistan Journal of Biological Sciences, 18: 141–145. https://doi.org/10.3923/pjbs.2015.141.145 Guo C.G., Shang Z., Yan J., Li S., Li G.Q., Liu R.Z. (2015): A tunable isoelectric focusing via moving reaction boundary for two-dimensional gel electrophoresis and proteomics. Talanta, 137: 197–203. https://doi.org/10.1016/j.talanta.2015.01.038 Henchion M., Hayes M., Mullen A.M., Fenelon M., Tiwari B. (2017): Future protein supply and demand: Strategies and factors influencing a sustainable equilibrium. Foods, 6: 53.  https://doi.org/10.3390/foods6070053 Iannucci A., Codianni P. (2019): Phenotypic parent selection within a khorasan wheat collection and genetic variation in advanced breeding lines derived by hybridization with durum wheat. Frontiers in Plant Science, 20: 1460. https://doi.org/10.3389/fpls.2019.01460 Ighodaro O.M., Akinloye O.A. (2018): First line defence antioxidants-superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX): Their fundamental role in the entire antioxidant defence grid. Alexandria Journal of Medicine, 54: 287–293. https://doi.org/10.1016/j.ajme.2017.09.001 Krager J. (2020): Assessing the quantification of soy protein in incurred matrices using targeted LC-MS/MS. [Master Thesis.] Lincoln, University of Nebraska. Kumar S.P.J., Susmita C., Sripathy K.V. (2022): Molecular characterisation and genetic diversity studies of Indian soybean (Glycine max (L.) Merr.) cultivars using SSR markers. Molecular Biology Report, 49: 2129–2140. https://doi.org/10.1007/s11033-021-07030-4 Liu W., Feng Y., Yu S., Fan Z., Li X., Li J., Yin H. (2021): The flavonoid biosynthesis network in plants. International Journal of Molecular Sciences, 22: 12824.  https://doi.org/10.3390/ijms222312824 Liu Y., Lu S., Liu K. (2019): Proteomics: A powerful tool to study plant responses to biotic stress. Plant Methods, 15: 135. https://doi.org/10.1186/s13007-019-0515-8 Malefo M.B., Mathibela E.O., Crampton B.G., Makgopa M.E. (2020): Investigating the role of Bowman-Birk serine protease inhibitor in Arabidopsis plants under drought stress. Plant Physiology and Biochemistry, 149: 286–293. https://doi.org/10.1016/j.plaphy.2020.02.007 Mustapha Z., Mat N., Othman R., Zakaria A.J. (2017): Quantification of BRIS soil bacteria at Tembila, Besut Terengganu. AGRIVITA Journal of Agricultural Science, 39: 252–256.  https://doi.org/10.17503/agrivita.v39i3.1292 Naimah R., Nur Amirah Y., Adzemi M.A., Wan Zaliha W.S. (2014): Quality and growth development of roselle grown on bris soil in relation to regulated deficit irrigation. Journal of Tropical Plant Physiology, 6: 23–34. Natarajan S.S. (2014): Analysis of soybean seed proteins using proteomics. Journal of Data Mining, Genomic & Proteomic, 5: 113. Neupane P., Bhuju S., Thapa N., Bhattarai H. (2019): ATP synthase: Structure, function and inhibition. Biomolecular Concepts, 10: 1–10.  https://doi.org/10.1515/bmc-2019-0001 Nkongolo K., Alamri S., Michael P. (2020): Assessment of genetic variation in soybean (Glycine max) accessions from international gene pools using RAPD markers: Comparison with the ISSR system. American Journal of Plant Sciences, 11: 1414–1428.  https://doi.org/10.4236/ajps.2020.119102 Risk B.A., Edwards N.J., Giddings M.C. (2013): A peptide-spectrum scoring system based on ion alignment, intensity, and pair probabilities. Journal of Proteome Research, 12: 4240–4247.  https://doi.org/10.1021/pr400286p Rizzo G., Baroni L. (2018): Soy, soy foods and their role in vegetarian diets. Nutrients, 10: 43.  https://doi.org/10.3390/nu10010043 Shakoor A., Zaib G., Zhao F., Li W., Lan X., Esfandani-Bozchaloyi S. (2022): ISSR markers and morphometry determine genetic diversity and population structure in Hedera helix L. Czech Journal Genetics and Plant Breeding, 58: 73−82.  https://doi.org/10.17221/93/2021-CJGPB Sobhanian H., Razavizadeh R., Nanjo Y., Ehsanpour A., Jazii F., Motamed N., Komatsu S. (2010): Proteome analysis of soybean leaves, hypocotyls and roots under salt stress. Proteomic Science, 8: 19.  https://doi.org/10.1186/1477-5956-8-19 Tanaka S., Saito H., Kajiwara N., Paing T.N., Mohd Yusoff K.H., Abe S.S., Nakao A., Yanai J. (2021): Long-term changes in paddy soil fertility in Peninsular Malaysia during 50 years after the Green Revolution with special reference to their physiographic environments. Soil Science and Plant Nutrition, 67: 80–88. https://doi.org/10.1080/00380768.2020.1840264 Tandzi L.N., Bradley G., Mutengwa C. (2019): Morphological responses of maise to drought, heat and combined stresses at seedling stage. Journal of Biological Sciences, 19: 7–16. https://doi.org/10.3923/jbs.2019.7.16 Witzel K., Weidner A., Surabhi G.K., Varshney R.K., Kunze G., Buck-Sorlin G.H., Börner A., Mock H.P. (2010): Comparative analysis of the grain proteome fraction in barley genotypes with contrasting salinity tolerance during germination. Plant, Cell & Environment, 33: 211–222. Yang K., Qing Y., Yu Q., Tang X., Chen G., Fang R., Liu H. (2021): By-product feeds: Current understanding and future perspectives. Agriculture, 11: 207. https://doi.org/10.3390/agriculture11030207