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Kısıntılı Sulamanın Verim Tepki Faktörleri Üzerindeki Etkisi: İslahiye'de Pamuk ve Silajlık Mısır Üzerine Bir Vaka Çalışması

Year 2025, Volume: 28 Issue: 2, 364 - 379, 27.03.2025

Dilek Olcay , Serap Ulusam Seçkiner

https://doi.org/10.18016/ksutarimdoga.vi.1577746

Abstract

Su kıtlığının bitki verimi üzerindeki etkilerini anlamak, tarımda satış fiyatı, mülkiyet süresi, girdi maliyetleri ve girdi kalitesi gibi unsurlarla birlikte önemli bir belirsizliği temsil ettiğinden, yetiştiriciler ve araştırmacılar için hayati bir öneme sahiptir. Bu çalışma, Türkiye'nin Gaziantep ilinin İslahiye ilçesinden alınan verileri kullanarak pamuk ve silajlık mısırın kısıntılı sulamaya verdiği verim tepki faktörlerini karşılaştırmayı ve analiz etmeyi amaçlamaktadır. Verim tepki faktörü Ky, on günlük periyotlarda (t), potansiyel bitki su tüketimindeki azalmaya karşı bitki veriminin duyarlılığını gösterir. Ana veri kaynağı, TAGEM ve DSI tarafından FAO Penman-Monteith yöntemi kullanılarak hazırlanan 2016 Türkiye Bitki Su Tüketimi Rehberi'dir. Verim tepki faktörleri, büyüme aşamasına ve kısıntılı sulama yüzdesine bağlı olarak değişmektedir. Modelimiz su üretim fonksiyonu ve toprak nem dengesi denklemine dayalı olup, otsu bitkiler, ağaçlar ve asmalar dahil tüm bitkilere uygulanabilir. Kısıntılı sulama oranı her bir t için aynıdır. Karma Tamsayılı Programlama (MIP) Çözücü ile maksimizasyon modelinin çözümü, her iki ürünün veriminin de benzer duyarlılıklar göstererek kısıntılı sulamadan önemli ölçüde etkilendiğini ortaya koymuştur. Ancak, pamuk %15 kısıntılı sulama oranına kadar daha duyarlı iken, silajlık mısır bu değerin ötesinde daha duyarlı hale gelmektedir. Bulgular, su tahsisi karar alma sürecinde önemli bir etkiye sahip olacak ve bu temel kaynağın optimum şekilde kullanılmasını sağlayacaktır. Bu model ve çözümü, kısıntılı sulamayı daha iyi yönetmek ve ürün verimlerini optimize etmek için yeni bilgi ve bakış açılarıyla optimizasyon algoritmalarını kullanmaktadır.

Keywords

Pamuk Silajlık mısır Toprak-nem dengesi Verim tepki faktörü Kısıntılı sulama

Ethical Statement

Bu çalışmanın, özgün bir çalışma olduğunu; çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığımı; bu çalışma kapsamında elde edilmeyen tüm veri ve bilgiler için kaynak gösterdiğimi ve bu kaynaklara kaynakçada yer verdiğimi; kullanılan verilerde herhangi bir değişiklik yapmadığımı, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet ettiğimi beyan ederim. Herhangi bir zamanda, çalışmayla ilgili yaptığım bu beyana aykırı bir durumun saptanması durumunda, ortaya çıkacak tüm ahlaki ve hukuki sonuçlara razı olduğumu bildiririm. Saygılarımla Dilek OLCAY

References

  • Akcay, S., and N. Dagdelen. 2016. “Water Use Efficiency, Yield and Yield Components of Second Crop Sunflower Under Deficit Irrigation.” Turkish Journal of Field Crops 21(2), 190-199. doi:10.17557/tjfc.05690.
  • Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. “FAO Irrigation and Drainage Paper No. 56 Crop Evapotranspiration.” (Food and Agriculture Organization of the United Nations).
  • Asil,, H. 2018. “Irrigation from Tahtakopru Dam Change of Plant Pattern in the Dry Years of Irrigation.” International Eurasian Conference on Science, Engineering and Technology November 22-23, 2018. Ankara: (EurasianSciEnTech 2018). Accessed October 30, 2024. https://www.researchgate.net/publication/329972930_Tahtakopru_barajindan_sulama_yapan_sulama_birliklerinin_kurak_yillarda_bitki_deseni_degisikligi. ,
  • Doorenbos, J., and A. H. Kassam. 1979. Yield Response to Water FAO-33. Rome: The Food and Agriculture Organization of the United Nations.
  • Droogers, P., and R. G. Allen . 2002. “Estimating Reference Evapotranspiration Under Inaccurate Data Conditions.” Irrigation and Drainage Systems (Food and Agriculture Organization of the United Nations) 16: 33–45. doi:doi.org/10.1023/A:1015508322413.
  • FAO,. 2017. The Future of Food and Agriculture Trends and Challenges. Rome: FAO.
  • Ghahraman, B., and A. R. Sepaskhah. 2004. "Linear and non-linear optimization models for allocation of a limited water supply." Irrigation and Drainage 1, 39-54. doi:doi.org/10.1002/ird.108.
  • Ghahraman, B., and A. R. Sepaskhah. 2002. "Optimal allocation of water from a single purpose reservoir to an irrigation project with pre-determined multiple cropping patterns." Irrig Sci 21, 127-137. doi:doi.org/10.1007/s002710100040.
  • Gonen, E., and C. Tanriverdi. 2021. “The Effects of Different Nitrogen Levels and Irrigation Intervals on Yield and Water Productivity of Cotton Grown in the Eastern Mediterranean Region.” Turkish Journal of Agricultural and Natural Sciences (TURKJANS) 1, 898 - 904. doi:doi.org/10.30910/turkjans.789963.
  • IPCC,. 2021. Climate Change (IPCC). Cambridge University Press, 2023. Accessed February 5, 2025. doi:https://doi.org/10.1017/9781009157896.
  • Irmak,, S. 2008. “Evapotranspiration.” In Encyclopedia of Ecology, by Fath B. D. Jørgensen S.E., 1432-1438. Academic Press 1. doi:doi.org/10.1016/B978-008045405-4.00270-6.
  • Jia, L., L. Xuecan, S. Yuanyuan, and Y. Haiye. 2024. “Different Irrigation Rates Effect on the Yeld and Quality of Greenhouse Cultivated Platycodon Grandiflorum Crops Considering Transpiration.” Turkish Journal of Agriculture and Forestry (Tubitak) 48, 1-14. doi:10.55730/1300-011X.3158.
  • Khatibi, A., S. Omrani, A. Omrani, S. H. Shojaei, A. Illés, C. Bojtor, S. Mousavi, and J. Nagy. 2023. "Study of drought stress correlation on yield and yield components of maize cultivars (Zea mays L.)". Acta Agraria Debreceniensis. doi:https://doi.org/10.34101/actaagrar/1/11495.
  • Kizilsimsek, M., T. Gunaydin, and F. Akbay. 2024. “Determination of Feed Quality Chracteristics of Soma Silage Maize (Zea Mays L.) Hybrids Cultivated in Eastern Mediterranean Conditions.” Turkish Journal of Field Crops 29 (1), 46-53. doi:1017557/tjfc1458251.
  • Koc, D. L., M. Unlu, A. Nur, and R. Kanber. 2022. "Determination of Crop Evapotranspiration and Single Crop Coefficients of Maize Using by a Using by a Weighing Lysimeter in Mediterranean Region in Turkey." KSU J. Agric Nat 25 (4), 890-900. doi:10.18016/ksutarimdoga.vi.802192.
  • Lobell, D. B., J. M. Deines, and S. Tommaso. 2020. “Changes in the drought sensitivity of US maize yields.” Nature Food, 729-735. doi:https://doi.org/10.1038/s43016-020-00165-w.
  • Loucks, D., and Beek E. Van. 2017. Water Resource Systems Planning and Management An Introduction to Methods, Models, and Applications.
  • Ozturk, Yasin, and Adnan Orak. 2020. "Determination of the Yield and Yield Components of Some Corn Varieties as a Second Crop in Tekirdag." KSU J. Agric Nat 23 (6), 1634-1646. doi:10.18016/ksutarimdoga.vi.727880.
  • Ozudogru, T., and TEPGE. 2024. Agricultural Products Market Cotton. Monthly, Ankara: TEPGE-Agricultural Economics and Policy Development Institute. Accessed February 12, 2025. https://arastirma.tarimorman.gov.tr/tepge.
  • Rao, N. H., P.B. S. Sarma, and S. Chander. 1988. “A Simple Dated Water-Production Function for Use in Irrigated Agriculture.” Agricultural Water Management 13, 25-32. doi:doi.org/10.1016/0378-3774(88)90130-8.
  • Steduto, P., T. C. Hsiao, E. Fereres, and D. Raes. 2012. “Crop yield.” FAO Irrigation and Drainage Paper (FAO) 66. Accessed October 30, 2024. https://www.fao.org/4/i2800e/i2800e00.pdf.
  • TAGEM, and DSI. 2016. Plant-Water Use Guide of irrigated crops in Turkey. Ankara.
  • Tasdan, K., and TEPGE. 2024. Agricultural Products Markets Misir. Ankara: TEPGE. Accessed February 12, 2025. https://arastirma.tarimorman.gov.tr/tepge.
  • UN-Water,. 2023. Sustainable Development Goal 6 Synthesis Report on Water and Sanitation 2023. Newyork: United Nations Publications.
  • Vedula, S., and P. P. Mujumdar. 2016. “Applications of Linear Programming.” Chap. 7 in Water Resources Systems - Modelling Techniques and Analysis, 207-214. Bangalore: Indian Institute of Science.
  • Wei, Y., J. Jin, S. Jiang, S. Ning, Y. Cui, and Y. Zhou. 2019. “Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China.” Agronomy 9(2), 78 . doi:https://doi.org/10.3390/agronomy9020078.
  • Worldbank,. 2021. Accessed October 2, 2024. https://www.worldbank.org/en/topic/water/publication/ebb-and-flow-water-migration-and-development.
  • Xing, L., Y. Feng, N. Cui, L. Guo, T. Du, Z. Wu, Y. Zhang, S. Wen, D. Gong, and L. Zhao. 2023. “Estimating Reference Evapotranspiration Using Penman-Monteith Equation.” Journal of Hydrology Volume 620 (Part A), doi:doi.org/10.1016/j.jhydrol.2023.129407.

The Impact of Water Deficit on Yield Response Factors: A Case Study of Cotton and Silage-Maize in İslahiye

Year 2025, Volume: 28 Issue: 2, 364 - 379, 27.03.2025

Dilek Olcay , Serap Ulusam Seçkiner

https://doi.org/10.18016/ksutarimdoga.vi.1577746

Abstract

Understanding the effects of water deficit on crop yield is essential for growers and researchers, as it represents a crucial uncertainty in agriculture, along with factors such as sales price, tenure, input costs, and input quality. This study compares and analyzes the yield response factors of two crops, cotton and silage maize, to water deficit using data from Islahiye town of Gaziantep Province in Türkiye. The primary data source is the 2016 Türkiye Plant Water Consumption Guide, prepared by TAGEM and DSI using the FAO Penman-Monteith method. The yield response factor Ky indicates the sensitivity of the crop yield to the potential evapotranspiration (PET) deficit in ten-day periods, t. Their yield response factors change depending on the growth stage and percentage of water deficit. Our model is based on water production function and the soil moisture balance equation, and the model can be applied to all crops, including herbaceous, trees, and vines. The water shortage rate is the same for each t. The solution of the maximization model by a Mixed-Integer Programming (MIP) Solver revealed that both crop yields are considerably affected by water deficits, with similar sensitivities observed. However, while cotton is more sensitive until a 15 per cent deficit, silage maize becomes more sensitive beyond this value. The findings will have a significant impact on decision-making for water allocation, ensuring optimal use of this essential resource. This model and its solution use optimization algorithms to provide new knowledge and perspectives to manage water deficits better and optimize crop yields.

Keywords

Cotton Silage maize Soil-moisture balance Yield response factor Water deficit

References

  • Akcay, S., and N. Dagdelen. 2016. “Water Use Efficiency, Yield and Yield Components of Second Crop Sunflower Under Deficit Irrigation.” Turkish Journal of Field Crops 21(2), 190-199. doi:10.17557/tjfc.05690.
  • Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. “FAO Irrigation and Drainage Paper No. 56 Crop Evapotranspiration.” (Food and Agriculture Organization of the United Nations).
  • Asil,, H. 2018. “Irrigation from Tahtakopru Dam Change of Plant Pattern in the Dry Years of Irrigation.” International Eurasian Conference on Science, Engineering and Technology November 22-23, 2018. Ankara: (EurasianSciEnTech 2018). Accessed October 30, 2024. https://www.researchgate.net/publication/329972930_Tahtakopru_barajindan_sulama_yapan_sulama_birliklerinin_kurak_yillarda_bitki_deseni_degisikligi. ,
  • Doorenbos, J., and A. H. Kassam. 1979. Yield Response to Water FAO-33. Rome: The Food and Agriculture Organization of the United Nations.
  • Droogers, P., and R. G. Allen . 2002. “Estimating Reference Evapotranspiration Under Inaccurate Data Conditions.” Irrigation and Drainage Systems (Food and Agriculture Organization of the United Nations) 16: 33–45. doi:doi.org/10.1023/A:1015508322413.
  • FAO,. 2017. The Future of Food and Agriculture Trends and Challenges. Rome: FAO.
  • Ghahraman, B., and A. R. Sepaskhah. 2004. "Linear and non-linear optimization models for allocation of a limited water supply." Irrigation and Drainage 1, 39-54. doi:doi.org/10.1002/ird.108.
  • Ghahraman, B., and A. R. Sepaskhah. 2002. "Optimal allocation of water from a single purpose reservoir to an irrigation project with pre-determined multiple cropping patterns." Irrig Sci 21, 127-137. doi:doi.org/10.1007/s002710100040.
  • Gonen, E., and C. Tanriverdi. 2021. “The Effects of Different Nitrogen Levels and Irrigation Intervals on Yield and Water Productivity of Cotton Grown in the Eastern Mediterranean Region.” Turkish Journal of Agricultural and Natural Sciences (TURKJANS) 1, 898 - 904. doi:doi.org/10.30910/turkjans.789963.
  • IPCC,. 2021. Climate Change (IPCC). Cambridge University Press, 2023. Accessed February 5, 2025. doi:https://doi.org/10.1017/9781009157896.
  • Irmak,, S. 2008. “Evapotranspiration.” In Encyclopedia of Ecology, by Fath B. D. Jørgensen S.E., 1432-1438. Academic Press 1. doi:doi.org/10.1016/B978-008045405-4.00270-6.
  • Jia, L., L. Xuecan, S. Yuanyuan, and Y. Haiye. 2024. “Different Irrigation Rates Effect on the Yeld and Quality of Greenhouse Cultivated Platycodon Grandiflorum Crops Considering Transpiration.” Turkish Journal of Agriculture and Forestry (Tubitak) 48, 1-14. doi:10.55730/1300-011X.3158.
  • Khatibi, A., S. Omrani, A. Omrani, S. H. Shojaei, A. Illés, C. Bojtor, S. Mousavi, and J. Nagy. 2023. "Study of drought stress correlation on yield and yield components of maize cultivars (Zea mays L.)". Acta Agraria Debreceniensis. doi:https://doi.org/10.34101/actaagrar/1/11495.
  • Kizilsimsek, M., T. Gunaydin, and F. Akbay. 2024. “Determination of Feed Quality Chracteristics of Soma Silage Maize (Zea Mays L.) Hybrids Cultivated in Eastern Mediterranean Conditions.” Turkish Journal of Field Crops 29 (1), 46-53. doi:1017557/tjfc1458251.
  • Koc, D. L., M. Unlu, A. Nur, and R. Kanber. 2022. "Determination of Crop Evapotranspiration and Single Crop Coefficients of Maize Using by a Using by a Weighing Lysimeter in Mediterranean Region in Turkey." KSU J. Agric Nat 25 (4), 890-900. doi:10.18016/ksutarimdoga.vi.802192.
  • Lobell, D. B., J. M. Deines, and S. Tommaso. 2020. “Changes in the drought sensitivity of US maize yields.” Nature Food, 729-735. doi:https://doi.org/10.1038/s43016-020-00165-w.
  • Loucks, D., and Beek E. Van. 2017. Water Resource Systems Planning and Management An Introduction to Methods, Models, and Applications.
  • Ozturk, Yasin, and Adnan Orak. 2020. "Determination of the Yield and Yield Components of Some Corn Varieties as a Second Crop in Tekirdag." KSU J. Agric Nat 23 (6), 1634-1646. doi:10.18016/ksutarimdoga.vi.727880.
  • Ozudogru, T., and TEPGE. 2024. Agricultural Products Market Cotton. Monthly, Ankara: TEPGE-Agricultural Economics and Policy Development Institute. Accessed February 12, 2025. https://arastirma.tarimorman.gov.tr/tepge.
  • Rao, N. H., P.B. S. Sarma, and S. Chander. 1988. “A Simple Dated Water-Production Function for Use in Irrigated Agriculture.” Agricultural Water Management 13, 25-32. doi:doi.org/10.1016/0378-3774(88)90130-8.
  • Steduto, P., T. C. Hsiao, E. Fereres, and D. Raes. 2012. “Crop yield.” FAO Irrigation and Drainage Paper (FAO) 66. Accessed October 30, 2024. https://www.fao.org/4/i2800e/i2800e00.pdf.
  • TAGEM, and DSI. 2016. Plant-Water Use Guide of irrigated crops in Turkey. Ankara.
  • Tasdan, K., and TEPGE. 2024. Agricultural Products Markets Misir. Ankara: TEPGE. Accessed February 12, 2025. https://arastirma.tarimorman.gov.tr/tepge.
  • UN-Water,. 2023. Sustainable Development Goal 6 Synthesis Report on Water and Sanitation 2023. Newyork: United Nations Publications.
  • Vedula, S., and P. P. Mujumdar. 2016. “Applications of Linear Programming.” Chap. 7 in Water Resources Systems - Modelling Techniques and Analysis, 207-214. Bangalore: Indian Institute of Science.
  • Wei, Y., J. Jin, S. Jiang, S. Ning, Y. Cui, and Y. Zhou. 2019. “Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China.” Agronomy 9(2), 78 . doi:https://doi.org/10.3390/agronomy9020078.
  • Worldbank,. 2021. Accessed October 2, 2024. https://www.worldbank.org/en/topic/water/publication/ebb-and-flow-water-migration-and-development.
  • Xing, L., Y. Feng, N. Cui, L. Guo, T. Du, Z. Wu, Y. Zhang, S. Wen, D. Gong, and L. Zhao. 2023. “Estimating Reference Evapotranspiration Using Penman-Monteith Equation.” Journal of Hydrology Volume 620 (Part A), doi:doi.org/10.1016/j.jhydrol.2023.129407.
There are 28 citations in total.

Details

Primary Language English
Subjects Crop and Pasture Waste Water Use, Industrial Crops
Journal Section RESEARCH ARTICLE
Authors

Dilek Olcay 0009-0000-6669-1906

Serap Ulusam Seçkiner 0000-0002-1612-6033

Early Pub Date March 20, 2025
Publication Date March 27, 2025
Submission Date November 1, 2024
Acceptance Date February 13, 2025
Published in Issue Year 2025 Volume: 28 Issue: 2

Cite

APA Olcay, D., & Ulusam Seçkiner, S. (2025). The Impact of Water Deficit on Yield Response Factors: A Case Study of Cotton and Silage-Maize in İslahiye. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, 28(2), 364-379. https://doi.org/10.18016/ksutarimdoga.vi.1577746
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