Journals / Ekin Journal of Crop Breeding and Genetics / 2026 / Volume: 12 Issue: 2

Determination of the Agricultural Performance of Soybean (Glycine max L. Merr.) Genotypes Under the Ecological Conditions of Konya in Türkiye

İrfan Özer(Selcuk University, Vocational School of Sarayönü)
Seydi Ahmet Bağcı(Selcuk University, Vocational School of Sarayönü)
Pages
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Publication Date
2026-08-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Analysis of variance results showed statistically significant differences between genotypes for most of the examined characteristics (p < 0.01).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Soybean (Glycine max L.
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Key Findings & Data:In Türkiye, a significant portion of the demand for soybeans is met through imports.
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Conclusion & Impact:Analysis of variance results showed statistically significant differences between genotypes for most of the examined characteristics (p < 0.01).
🔬Design:Experimental Field Trial
📍Scope:2021 Verileri
⚙️Variables:Soybean · genotypes · adaptation

Abstract

Soybean (Glycine max L. Merr.) is an important legume-oilseed crop cultivated worldwide for its higher protein and quality vegetable fat content. In Türkiye, a significant portion of the demand for soybeans is met through imports. This situation necessitates the identification of high-performance genotypes adapted to ecological conditions of Türkiye. This study was carried out to identify soybean genotypes that can be grown under the ecological conditions of Konya, which has high agricultural production potential. Eight soybean varieties (Nova, Defiance, NE 3399, A 3935, ATAEM 7, Çetinbey, Atakişi and Arısoy) and four breeding lines (BDS 07, BDS 11, BDS 21 and BDS 25) were evaluated in a randomized block design with three replications in field trials under irrigated conditions during the 2021 and 2022 growing seasons. Observations were recorded for grain yield, thousand-grain weight, seed oil, ash and protein content, plant height, number of branches and pods per plant, and first pod height. Analysis of variance results showed statistically significant differences between genotypes for most of the examined characteristics (p < 0.01). The highest grain yield was produced by BDS 25 (5,881 kg ha-1) followed by BDS 11 (5,859 kg ha-1) while Defiance variety (4,077 kg ha-1) produced the lowest grain yield. The Atakişi variety had the highest protein content (37.48%) followed by Cetinbey (37.34%), while the highest oil content was found in the BDS 21 line (18.6%) closely followed by the Atakişi and NE 3699 varieties (18.4%). The findings indicate that these genotypes (BDS 25, BDS 11, Atakişi and BDS 21) are promising for soybean cultivation under Konya’s ecological conditions and could contribute to increasing domestic soybean production in Türkiye.

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Cite This Article

Özer, İ., Bağcı, S. A. (2026). Determination of the Agricultural Performance of Soybean (Glycine max L. Merr.) Genotypes Under the Ecological Conditions of Konya in Türkiye. Ekin Journal of Crop Breeding and Genetics, Volume: 12 Issue: 2. https://ajindex.com/articles/1477718

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References (46)

  1. Acikgoz, E., Sincik, M., Karasu, A., Tongel, O., Wietgrefe, G., Bilgili, U., Oz, M., Albayrak, S., Turan, Z. M., and Goksoy, A. T. (2009). Forage soybean production for seed in mediterranean environments. Field Crops Research, 110(3), 213- 218. https://doi.org/10.1016/j.fcr.2008.08.006
  2. Addae-Frimpomaah, F., Amenorpe, G., Sossah, F. L., Adazebra, G. A., Amiteye, S., AdjebengDanquah, J., Nelimor, C., Yirzagla, J., Amoako, O. A., and Amoatey, H. (2025). Genetic variability, heritability, and genetic gain for yield and associated traits in recently introduced soybean genotypes in the guinea savannah zone of Ghana. Australian Journal of Crop Science, 19(5), 489-500. https://doi.org/10.3316/informit. T2025070300000100514249057
  3. Altınyüzük, H., and Öztürk, Ö. (2017). Soya çeşitlerinin Çukurova koşullarında II. ürün olarak verim ve kalite özelliklerinin incelenmesi. Selcuk Journal of Agriculture and Food Sciences, 31(3), 101- 110. https://doi.org/10.15316/SJAFS.2017.41 (In Turkish).
  4. Arıoğlu, H. H. (2014). Yağ bitkileri yetiştirme ve ıslahı. Çukurova Üniversitesi Ziraat Fakültesi Yayınları (No. 220, Ders Kitapları No. A-70). (In Turkish).
  5. Arıoğlu, H., Bakal, H., Güllüoğlu, L., Kurt, C., and Onat, B. (2016). Ana ürün koşullarında yetiştirilen bazı yerfıstığı çeşitlerinin önemli agronomik ve kalite özelliklerinin belirlenmesi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(Özel Sayı-2), 24-29. https://doi. org/10.21566/tarbitderg.281656 (In Turkish).
  6. Bakal, H., Gulluoglu, L., Onat, B., and Arıoglu, H. (2017). The effect of growing seasons on some agronomic and quality characteristics of soybean varieties in Mediterranean Region in Turkey. Turkish Journal of Field Crops, 22(2), 187-196. https://doi.org/10.17557/tjfc.356213
  7. Bakal, H., Kenetli, A., and Arıoglu, H. (2020). The effect of plant density on pod yield and some agronomic characteristics of different growthtype peanut varieties (Arachis hypogaea L.) grown as a main crop. Turkish Journal of Field Crops, 25(1), 92-99. https://doi. org/10.17557/tjfc.748671
  8. Barış, M., Tunçtürk, M. ve Söğüt, T. (2020). Ekim zamanı uygulamalarının bazı soya fasulyesi (Glycine max (L.) Merrill) çeşitlerinde verim ve verim özelliklerine etkisi. ISPEC Tarım Bilimleri Dergisi, 4(4), 717-731. https://doi.org/10.46291/ ISPECJASvol4iss4pp717-731 (In Turkish).
  9. Başalma, D., İşler, N., Arslan, M., Göksoy, A. T., Sincik, M., Arslanoğlu, F., Önemli, F., Öztürk, Ö., Arslan, H., Day, S., and Kayaçetin, F. (2025). Yağlı tohumlar üretiminde mevcut durum ve sürdürülebilirlik. Türkiye Ziraat Mühendisliği X. Teknik Kongresi Bildiriler Kitabı, 1, 430-455. (In Turkish).
  10. Bek, D., and Arıoğlu, H. (2005). Çukurova koşullarında farklı soya genotiplerinin adaptasyon ve verim potansiyellerinin saptanması. Türkiye VI. Tarla Bitkileri Kongresi, 2, 1101-1105. (In Turkish).
  11. Board, J. E., Kamal, M., and Harville, B. G. (1992). Temporal importance of greater light interception to increased yield in narrow‐row soybean. Agronomy Journal, 84(4), 575-579. https://doi.org/10.2134/ agronj1992.00021962008400040006x
  12. Board, J. E., and Kahlon, C. S. (2011). Soybean yield formation: What controls it and how it can be improved. In H. A. El-Shemy (Ed.), Soybean physiology and biochemistry (pp. 1-36). InTechOpen.
  13. Chiluwal, A. (2025). US soybean seed protein concentrations-Current status, challenges, and some potential crop management solutions. Agronomy Journal, 117(1), e21731. https://doi. org/10.1002/agj2.21731
  14. Elgün, A., Ertugay, Z., 2011. Tahıl işleme teknolojisi, Atatürk Ünv. Ziraat Fakültesi Yayınları, No:718, Erzurum, 411 s.
  15. FAO. 2025. Agricultural production statistics- 2010- 2024. FAOSTAT Analytical Briefs, No. 121. Rome. https://doi.org/10.4060/cd8035en
  16. Gale, F., Valdes, C., and Ash, M. (2019). Interdependence of China, United States, and Brazil in soybean trade (OCS-19F-01). USDA, Economic Research Service. https://www.ers.usda.gov/media/10166/ ocs-19f-01.pdf?v=57181
  17. Gauch, H. G., Jr. (2013). A simple protocol for AMMI analysis of yield trials. Crop Science, 53(5), 1860-1869. https://doi.org/10.2135/ cropsci2013.04.0241.
  18. Gökdere, H. İ., Yılmaz, A. B., Tekin, M., Yeken, M. Z., and Çiftçi, V. (2023). Ekmeklik buğday (Triticum aestivum L.) genotiplerinin dane verimi ve bazı önemli kalite özellikleri için Trakya Bölgesinde bulunan farklı çevrelerde testlenmesi. Journal of the Institute of Science and Technology, 13(4), 3040-3052. https://doi.org/10.21597/jist.1358515 (In Turkish).
  19. Hartman, G. L., West, E. D., and Herman, T. K. (2011). Crops that feed the world 2. Soybean-worldwide production, use, and constraints caused by pathogens and pests. Food Security, 3(1), 5-17. https://doi.org/10.1007/s12571-010-0108-x.
  20. Kim, J., Scaboo, A., Rainey, K. M., Fritschi, F. B., and Bilyeu, K. (2024). Redesigning soybean with improved oil and meal traits. Theoretical and Applied Genetics, 137(9), Article 218. https:// doi.org/10.1007/s00122-024-04732-8
  21. Kocaturk, M., Cubukcu, P., Goksoy, A. T., Sıncık, M., Ilker, E., Kadıroglu, A., Vurarak, Y., Sahın, Y., Karakus, M., and Akgun Yıldırım, U. (2019). GGE biplot analysis of genotype X environment interaction in soybean grown as a second crop. Turkish Journal of Field Crops, 24(2), 145-154. https://doi.org/10.17557/tjfc.615175.
  22. Leggett, M., Diaz‐Zorita, M., Koivunen, M., Bowman, R., Pesek, R., Stevenson, C., and Leister, T. (2017). Soybean response to inoculation with Bradyrhizobium japonicum in the United States and Argentina. Agronomy Journal, 109(3), 1031-1038. https://doi.org/10.2134/ agronj2016.04.0214.
  23. Li, H., Sun, J., Zhang, Y., Wang, N., Li, T., Dong, H., Yang, M., Xu, C., Hu, L., Liu, C., Chen, Q., Foyer, C. H., and Qi, Z. (2026). Soybean oil and protein: Biosynthesis, regulation and strategies for genetic improvement. Plant, Cell & Environment, 49(7), 3730-3746. https://doi. org/10.1111/pce.15272
  24. Liu, S., Liu, Z., Hou, X., and Li, X. (2023). Genetic mapping and functional genomics of soybean seed protein. Molecular Breeding, 43(4), Article 29. https://doi.org/10.1007/s11032-023-01373-5
  25. Nget, R., Aguilar, E. A., Cruz, P. C. S., Reaño, C. E., Sanchez, P. B., Reyes, M. R., and Prasad, P. V. V. (2022). Responses of soybean genotypes to different nitrogen and phosphorus sources: Impacts on yield components, seed yield, and seed protein. Plants, 11(3), 298. https://doi. org/10.3390/plants11030298.
  26. OECD/FAO. (2023). OECD-FAO agricultural outlook 2023-2032. OECD Publishing. https://doi. org/10.1787/08801ab7-en.
  27. Ogunbayo, S. A., Sié, M., Ojo, D. K., Sanni, K. A., Akinwale, M. G., Toulou, B., Shittu, A., Idehen, E. O., Popoola, A. R., Daniel, I. O., and Gregorio, G. B. (2014). Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.). Journal of Plant Breeding and Crop Science, 6(11), 153-159. https://doi.org/10.5897/JPBCS2014.0457.
  28. Pagano, M. C., and Miransari, M. (2016). The importance of soybean production worldwide. In M. Miransari (Ed.), Abiotic and biotic stresses in soybean production (pp. 1-26). Academic Press. https://doi.org/10.1016/B978-0-12-801536- 0.00001-3
  29. Peng, D., Zhang, H., Zhang, Y., Yu, L., Chen, M., Chen, J. M., You, L., Li, P., Liu, J., Zhang, X., Arvor, D., Kuchler, P., Huang, J., Zhang, H., Hao, P.,
  30. Huang, J., Shi, Z., Wang, F., Song, K., Zhang, B. (2026). Global soybean trade dynamics: Drivers, impacts, and sustainability. The Innovation, 7(2), Article 101124. https://doi.org/10.1016/j. xinn.2025.101124
  31. Pospišil, A., and Pospišil, M. (2024). Soybean yield and yield components depending on a sowing rate and sowing date. Poljoprivreda, 30(2), 10- 16. https://doi.org/10.18047/poljo.30.2.2
  32. Ramya, P., Chaubal, A., Kulkarni, K., Gupta, L., Kadoo, N., Dhaliwal, H. S., Chhuneja, P., Lagu, M., and Gupta, V. (2010). QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.). Journal of Applied Genetics, 51(4), 421-429. https://doi.org/10.1007/ BF03208872.
  33. Ray, D. K., Gerber, J. S., MacDonald, G. K., and West, P. C. (2015). Climate variation explains a third of global crop yield variability. Nature Communications, 6(1), Article 5989. https://doi. org/10.1038/ncomms6989
  34. Salvagiotti, F., Cassman, K. G., Specht, J. E., Walters, D. T., Weiss, A., and Dobermann, A. (2008). Nitrogen uptake, fixation and response to fertilizer N in soybeans: A review. Field Crops Research, 108(1), 1-13. https://doi.org/10.1016/j. fcr.2008.03.001
  35. Shi, D., Hang, J., Neufeld, J., Zhao, S., and House, J. D. (2023). Effects of genotype, environment and their interaction on protein and amino acid contents in soybeans. Plant Science, 337, Article 111891. https://doi.org/10.1016/j. plantsci.2023.111891
  36. Singer, W. M., Lee, Y.-C., Shea, Z., Vieira, C. C., Lee, D., Li, X., Cunicelli, M., Kadam, S. S., Khan, M. A. W., Shannon, G., Mian, M. A. R., Nguyen, H. T., and Zhang, B. (2023). Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed. The Plant Genome, 16(4), Article e20415. https://doi.org/10.1002/ tpg2.20415
  37. Soni, K., Frew, R., and Kebede, B. (2024). A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean. Critical reviews in food science and nutrition, 64(19), 6616-6635.
  38. Soni, K., Frew, R., and Kebede, B. (2024). A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean. Critical Reviews in Food Science and Nutrition, 64(19), 6616-6635. https://doi.org/10.1080/10408398.2023.2171 961.
  39. TÜİK. (2025). Bitkisel üretim istatistikleri. Türkiye İstatistik Kurumu. https://veriportali.tuik.gov. tr/tr/statistical-themes
  40. USDA. (2026). World agricultural supply and demand estimates (WASDE-673). U.S. Department of Agriculture. https://www.fas.usda.gov/data/ wasde
  41. Vargas-Almendra, A., Ruiz-Medrano, R., NúñezMuñoz, L. A., Ramírez-Pool, J. A., CalderónPérez, B., and Xoconostle-Cázares, B. (2024). Advances in soybean genetic improvement. Plants, 13(21), Article 3073. https://doi. org/10.3390/plants13213073
  42. Wilcox, J. R. (2004). World distribution and trade of soybean. In R. M. Shibles, J. E. Harper, R. F. Wilson, and R. C. Shoemaker (Eds.), Soybeans: Improvement, production, and uses (3rd ed., Vol. 16, pp. 1-14). American Society of Agronomy. https://doi.org/10.2134/agronmonogr16.3ed.c1
  43. Yan, W., Hunt, L. A., Sheng, Q., and Szlavnics, Z. (2000). Cultivar evaluation and megaenvironment investigation based on the GGE biplot. Crop Science, 40(3), 597-605. https:// doi.org/10.2135/cropsci2000.403597x
  44. Yan, W., and Kang, M. S. (2002). GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press.
  45. Yang, Q., Lin, G., Lv, H., Wang, C., Yang, Y., and Liao, H. (2021). Environmental and genetic regulation of plant height in soybean. BMC Plant Biology, 21(1), Article 63. https://doi. org/10.1186/s12870-021-02836-8.
  46. Yılmaz, A., Yılmaz, H., Soydemir, H. E., and Çiftçi, V. (2022). Soya (Glycine max L.)’da PGPR ve AMF uygulamalarının verim özellikleri ve protein içeriğine etkisi. International Journal of Agriculture and Wildlife Science, 8(1), 108- 118. https://doi.org/10.24180/ijaws.1077704 (in Turkish).