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Serin İklim Tahıllarında Karbon Ayak İzini Azaltmada Mikrobiyom, Nanoteknoloji ve İHA Yaklaşımları

Yıl 2025, Cilt: 20 Sayı: 2, 110 - 115, 30.12.2025
https://doi.org/10.54975/isubuzfd.1782133
https://izlik.org/JA46ES39XP

Öz

Serin iklim tahıllarının, küresel gıda güvenliği açısından stratejik öneme sahip olduğu ve aynı zamanda tarımsal sera gazı emisyonlarının başlıca kaynakları arasında yer aldığı bilinmektedir. Bu bağlamda karbon ayak izinin azaltılmasına yönelik yenilikçi ve bütüncül yaklaşımlara ihtiyaç duyulmuştur. Mikrobiyom temelli uygulamaların, özellikle rizosfer mikrobiyotasının nitrojen döngüsündeki işlevleri üzerinden azot kullanımı etkinliğini artırarak N₂O emisyonlarını sınırlama potansiyeli bulunmaktadır. Nanoteknoloji tabanlı gübre ve biyostimülantlar ise kontrollü salım mekanizmaları sayesinde besin kullanım verimliliğini yükseltmekte, girdi kaynaklı karbon yükünü azaltmaktadır. Öte yandan, insansız hava araçları (İHA) tarımda hassas izleme, stres teşhisi ve değişken doz uygulamalarıyla emisyonların doğrudan takibini ve yönetimini kolaylaştırdığı bilinmektedir. Bu doğrultuda araştırmamızda, söz konusu üç yaklaşımı disiplinler arası bir çerçevede birleştirerek mevcut mekanizmaları, ölçüm yöntemlerini ve politika boyutları ele alınmış, serin iklim tahıllarında sürdürülebilir üretim için bilimsel bir yol haritası ortaya konulmuş ve gelecek araştırmalar için entegratif bir perspektif sunulmuştur.

Kaynakça

  • Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. J. (2018). Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: A review of sensor technology, measurement procedures, and data correction workflows. Remote Sensing, 10(7), 1091. https://doi.org/10.3390/rs10071091
  • Bender, S. F., Wagg, C., & van der Heijden, M. G. A. (2016). An underground revolution: Biodiversity and soil ecological engineering for agricultural sustainability. Trends in Ecology & Evolution, 31(6), 440–452. https://doi.org/10.1016/j.tree.2016.02.016
  • Benmrid, B., Hafidi, M., Allaoui, A., Borden, K. A., & Duponnois, R. (2023). Bioinoculants as a means of increasing crop tolerance to drought and phosphorus deficiency in legume–cereal intercropping systems. Communications Biology, 6(1), 1–12. https://doi.org/10.1038/s42003-023-05399-5
  • Butterbach-Bahl, K., Baggs, E. M., Dannenmann, M., Kiese, R., & Zechmeister-Boltenstern, S. (2013). Nitrous oxide emissions from soils: How well do we understand the processes and their controls? Philosophical Transactions of the Royal Society B: Biological Sciences, 368(1621), 20130122. https://doi.org/10.1098/rstb.2013.0122
  • Chang, Y., Wang, Y., Shen, J., Liu, X., Zhang, F. (2025). Domesticated rice alters the rhizosphere microbiome, reducing nitrogen fixation and increasing nitrous oxide emissions. Nature Communications, 16(1), 57213. https://doi.org/10.1038/s41467-025-57213-x
  • Chen, H., & Yada, R. (2011). Nanotechnologies in agriculture: New tools for sustainable development. Trends in Food Science & Technology, 22(11), 585–594. https://doi.org/10.1016/j.tifs.2011.09.004
  • Dağhan, H. (2017). Nano Gübreler. Türkiye Tarımsal Araştırmalar Dergisi, 4(2), 197-203. https://doi.org/10.19159/tutad.294991
  • Ellenburg, W. L., Mishra, V., Roberts, J. B., Limaye, A. S., Case, J. L., Blankenship, C. B., & Cressman, K. (2021). Detecting desert locust breeding grounds: A satellite-assisted modeling approach. Remote Sensing, 13(7), 1276.
  • European Commission (EU), (2020). A Farm to Fork Strategy for a fair, healthy and environmentally-friendly food system. Brussels: European Commission. Erişim address https://food.ec.europa.eu/horizontal-topics/farm-fork-strategy_en
  • Fadiji, A. E., Babalola, O. O., & Santoyo, G. (2021). The potential role of microbial biostimulants in the amelioration of climate change-associated abiotic stresses on crops. Frontiers in Microbiology, 12, 829099. https://doi.org/10.3389/fmicb.2021.829099
  • Food and Agriculture Organization (FAO), (2023)a. The State of Food and Agriculture 2023: Revealing the true cost of food to transform agrifood systems. Rome: Food and Agriculture Organization of the United Nations. Erişim address https://openknowledge.fao.org/items/1516eb79-8b43-400e-b3cb-130fd70853b0
  • Food and Agriculture Organization (FAO), (2023b). Crops and environmental indicators. Food and Agriculture Organization of the United Nations. Erişim address https://www.fao.org/faostat
  • Fraceto, L. F., Grillo, R., de Medeiros, G. A., Scognamiglio, V., Rea, G., & Bartolucci, C. (2016). Nanotechnology in agriculture: Which innovation potential does it have? Environmental Science: Nano, 3(4), 646–659. https://doi.org/10.1039/C5EN00227B
  • Gracia-Romero, A., Kefauver, S. C., Fernandez-Gallart, E., Vergara-Diaz, O., Nieto-Taladriz, M. T., & Araus, J. L. (2019). UAV and ground image-based phenotyping: A proof of concept in durum wheat under variable conditions. Remote Sensing, 11(10), 1244. https://doi.org/10.3390/rs11101244
  • Ingrisch, J., Karlowsky, S., Hasibeder, R., Gleixner, G., & Bahn, M. (2020). Drought and recovery effects on belowground respiration dynamics and the partitioning of recent carbon in managed and abandoned grassland. Global Change Biology, 26(8), 4366-4378.
  • Intergovernmental Panel on Climate Change (IPCC), (2022). Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the IPCC. Cambridge University Press. Erişim address https://www.cambridge.org/core/books/climate-change-2022-mitigation-of-climate change/2929481A59B59C57C743A79420A2F9FF
  • Khose, S. B., & Mailapalli, D. R. (2024). UAV-based multispectral image analytics and machine learning for predicting crop nitrogen in rice. Geocarto international, 39(1), 2373867.
  • Kumar, R., Singh, A., & Sharma, P. (2024). UAV-based monitoring of methane and nitrous oxide emissions in agricultural fields. Environmental Monitoring and Assessment, 196(2), 145. https://doi.org/10.1007/s10661-023-11873-5
  • Lal, R. (2020a). Managing soils for negative carbon budgets and climate change mitigation. Soil & Tillage Research, 204, 104731. https://doi.org/10.1080/00380768.2020.1718548
  • Lal, R. (2020b). Regenerative agriculture for food and climate. Journal of Soil and Water Conservation, 75(5), 123A-124A.
  • Li, H., Chen, J., Chen, Y., Sun, J., & Li, T. (2023). Arbuscular mycorrhizal fungi reduce N₂O emissions from decomposing crop residues via altered microbial communities. Frontiers in Ecology and Evolution, 11, 1224849. https://doi.org/10.3389/fevo.2023.1224849
  • Lowry, G. V., Avellan, A., & Gilbertson, L. M. (2019). Opportunities and challenges for nanotechnology in the agri-tech revolution. Nature nanotechnology, 14(6), 517-522.
  • Maaz, T. M., Sapkota, T. B., Eagle, A. J., Kantar, M. B., Bruulsema, T. W., & Majumdar, K. (2021). Meta‐analysis of yield and nitrous oxide outcomes for nitrogen management in agriculture. Global Change Biology, 27(11), 2343-2360.
  • Öztüfekçi, S. (2015). Mikrobiyolojik gübre olarak Bacillus subtilis’in buğday bitkisinin verim ve besin elementi alımına etkisi (Yüksek lisans tezi, Uludağ Üniversitesi, Fen Bilimleri Enstitüsü).
  • Santos, W. M. D., Martins, L. D. C. D. S., Bezerra, A. C., Souza, L. S. B. D., Jardim, A. M. D. R. F., Silva, M. V. D., Souza, C.A.A.D., & Silva, T. G. F. D. (2024). Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review. Drones, 8(10), 585.
  • Sishodia, R. P., Ray, R. L., & Singh, S. K. (2020). Applications of remote sensing in precision agriculture: A review. Remote Sensing, 12(19), 3136. https://doi.org/10.3390/rs12193136
  • Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., … & Smith, J. (2008). Greenhouse gas mitigation in agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1492), 789–813. https://doi.org/10.1098/rstb.2007.2184
  • Smith, S., & de Smet, I. (2018). Root system architecture: Insights from Arabidopsis and cereal crops. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1739), 20170264. https://doi.org/10.1098/rstb.2017.0264
  • T.C. Tarım ve Orman Bakanlığı (2023a), Türkiye Tarımsal Üretim ve Sera Gazı Emisyon Raporu. Ankara: Tarım ve Orman Bakanlığı Yayınları. Erişim address https://www.tarimorman.gov.tr/
  • T.C. Tarım ve Orman Bakanlığı (2023b). Ulusal Tarım Strateji Belgesi 2023–2027. Ankara: T.C. Tarım ve Orman Bakanlığı. Erişim address https://www.tarimorman.gov.tr/Duyuru/Ulusal-Tarim-Stratejisi-2023-2027
  • Tubiello, F. N., Rosenzweig, C., Conchedda, G., Karl, K., Gütschow, J., Xueyao, P., ... & Sandalow, D. (2021). Greenhouse gas emissions from food systems: building the evidence base. Environmental Research Letters, 16(6), 065007.
  • Türkiye İstatistik Kurumu (TÜİK), (2023). Greenhouse Gas Emissions Statistics, 1990–2021. Erişim address https://data.tuik.gov.tr
  • Wang, P., Lombi, E., Zhao, F. J., & Kopittke, P. M. (2016). Nanotechnology: a new opportunity in plant sciences. Trends in plant science, 21(8), 699-712.
  • Wang, W., Luo, X., Ye, X., Chen, Y., Wang, H., Wang, L., ... & Cui, Z. (2020). Predatory Myxococcales are widely distributed in and closely correlated with the bacterial community structure of agricultural land. Applied Soil Ecology, 146, 103365.
  • Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: A review. Precision Agriculture, 13(6), 693–712. https://doi.org/10.1007/s11119-012-9274-5
  • Zhang, L., Wang, A., Zhang, H., Zhu, Q., Zhang, H., Sun, W., & Niu, Y. (2024). Estimating leaf chlorophyll content of winter wheat from UAV multispectral images using machine learning algorithms under different species, growth stages, and nitrogen stress conditions. Agriculture, 14(7), 1064.

Microbiome, Nanotechnology, and UAV Approaches for Reducing the Carbon Footprint in Cool-Season Cereals

Yıl 2025, Cilt: 20 Sayı: 2, 110 - 115, 30.12.2025
https://doi.org/10.54975/isubuzfd.1782133
https://izlik.org/JA46ES39XP

Öz

Cool-season cereals hold strategic importance for global food security while simultaneously being among the primary sources of agricultural greenhouse gas emissions. In this context, innovative and holistic strategies are required to mitigate their carbon footprint. Microbiome-based applications, particularly the functions of rhizosphere microbiota in the nitrogen cycle, have the potential to enhance nitrogen use efficiency and limit N₂O emissions. Nanotechnology-driven fertilizers and biostimulants, through controlled release mechanisms, can improve nutrient use efficiency while reducing input-related carbon loads. Meanwhile, unmanned aerial vehicles (UAVs) are increasingly recognized as valuable tools in precision agriculture, enabling targeted monitoring, stress detection, and variable-rate applications, thereby facilitating direct tracking and management of emissions. Building on this background, the present study integrates these three approaches within an interdisciplinary framework, addressing underlying mechanisms, measurement methodologies, and policy dimensions. A scientific roadmap is proposed to promote sustainable production of cool-season cereals, offering an integrative perspective for future research.

Kaynakça

  • Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. J. (2018). Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: A review of sensor technology, measurement procedures, and data correction workflows. Remote Sensing, 10(7), 1091. https://doi.org/10.3390/rs10071091
  • Bender, S. F., Wagg, C., & van der Heijden, M. G. A. (2016). An underground revolution: Biodiversity and soil ecological engineering for agricultural sustainability. Trends in Ecology & Evolution, 31(6), 440–452. https://doi.org/10.1016/j.tree.2016.02.016
  • Benmrid, B., Hafidi, M., Allaoui, A., Borden, K. A., & Duponnois, R. (2023). Bioinoculants as a means of increasing crop tolerance to drought and phosphorus deficiency in legume–cereal intercropping systems. Communications Biology, 6(1), 1–12. https://doi.org/10.1038/s42003-023-05399-5
  • Butterbach-Bahl, K., Baggs, E. M., Dannenmann, M., Kiese, R., & Zechmeister-Boltenstern, S. (2013). Nitrous oxide emissions from soils: How well do we understand the processes and their controls? Philosophical Transactions of the Royal Society B: Biological Sciences, 368(1621), 20130122. https://doi.org/10.1098/rstb.2013.0122
  • Chang, Y., Wang, Y., Shen, J., Liu, X., Zhang, F. (2025). Domesticated rice alters the rhizosphere microbiome, reducing nitrogen fixation and increasing nitrous oxide emissions. Nature Communications, 16(1), 57213. https://doi.org/10.1038/s41467-025-57213-x
  • Chen, H., & Yada, R. (2011). Nanotechnologies in agriculture: New tools for sustainable development. Trends in Food Science & Technology, 22(11), 585–594. https://doi.org/10.1016/j.tifs.2011.09.004
  • Dağhan, H. (2017). Nano Gübreler. Türkiye Tarımsal Araştırmalar Dergisi, 4(2), 197-203. https://doi.org/10.19159/tutad.294991
  • Ellenburg, W. L., Mishra, V., Roberts, J. B., Limaye, A. S., Case, J. L., Blankenship, C. B., & Cressman, K. (2021). Detecting desert locust breeding grounds: A satellite-assisted modeling approach. Remote Sensing, 13(7), 1276.
  • European Commission (EU), (2020). A Farm to Fork Strategy for a fair, healthy and environmentally-friendly food system. Brussels: European Commission. Erişim address https://food.ec.europa.eu/horizontal-topics/farm-fork-strategy_en
  • Fadiji, A. E., Babalola, O. O., & Santoyo, G. (2021). The potential role of microbial biostimulants in the amelioration of climate change-associated abiotic stresses on crops. Frontiers in Microbiology, 12, 829099. https://doi.org/10.3389/fmicb.2021.829099
  • Food and Agriculture Organization (FAO), (2023)a. The State of Food and Agriculture 2023: Revealing the true cost of food to transform agrifood systems. Rome: Food and Agriculture Organization of the United Nations. Erişim address https://openknowledge.fao.org/items/1516eb79-8b43-400e-b3cb-130fd70853b0
  • Food and Agriculture Organization (FAO), (2023b). Crops and environmental indicators. Food and Agriculture Organization of the United Nations. Erişim address https://www.fao.org/faostat
  • Fraceto, L. F., Grillo, R., de Medeiros, G. A., Scognamiglio, V., Rea, G., & Bartolucci, C. (2016). Nanotechnology in agriculture: Which innovation potential does it have? Environmental Science: Nano, 3(4), 646–659. https://doi.org/10.1039/C5EN00227B
  • Gracia-Romero, A., Kefauver, S. C., Fernandez-Gallart, E., Vergara-Diaz, O., Nieto-Taladriz, M. T., & Araus, J. L. (2019). UAV and ground image-based phenotyping: A proof of concept in durum wheat under variable conditions. Remote Sensing, 11(10), 1244. https://doi.org/10.3390/rs11101244
  • Ingrisch, J., Karlowsky, S., Hasibeder, R., Gleixner, G., & Bahn, M. (2020). Drought and recovery effects on belowground respiration dynamics and the partitioning of recent carbon in managed and abandoned grassland. Global Change Biology, 26(8), 4366-4378.
  • Intergovernmental Panel on Climate Change (IPCC), (2022). Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the IPCC. Cambridge University Press. Erişim address https://www.cambridge.org/core/books/climate-change-2022-mitigation-of-climate change/2929481A59B59C57C743A79420A2F9FF
  • Khose, S. B., & Mailapalli, D. R. (2024). UAV-based multispectral image analytics and machine learning for predicting crop nitrogen in rice. Geocarto international, 39(1), 2373867.
  • Kumar, R., Singh, A., & Sharma, P. (2024). UAV-based monitoring of methane and nitrous oxide emissions in agricultural fields. Environmental Monitoring and Assessment, 196(2), 145. https://doi.org/10.1007/s10661-023-11873-5
  • Lal, R. (2020a). Managing soils for negative carbon budgets and climate change mitigation. Soil & Tillage Research, 204, 104731. https://doi.org/10.1080/00380768.2020.1718548
  • Lal, R. (2020b). Regenerative agriculture for food and climate. Journal of Soil and Water Conservation, 75(5), 123A-124A.
  • Li, H., Chen, J., Chen, Y., Sun, J., & Li, T. (2023). Arbuscular mycorrhizal fungi reduce N₂O emissions from decomposing crop residues via altered microbial communities. Frontiers in Ecology and Evolution, 11, 1224849. https://doi.org/10.3389/fevo.2023.1224849
  • Lowry, G. V., Avellan, A., & Gilbertson, L. M. (2019). Opportunities and challenges for nanotechnology in the agri-tech revolution. Nature nanotechnology, 14(6), 517-522.
  • Maaz, T. M., Sapkota, T. B., Eagle, A. J., Kantar, M. B., Bruulsema, T. W., & Majumdar, K. (2021). Meta‐analysis of yield and nitrous oxide outcomes for nitrogen management in agriculture. Global Change Biology, 27(11), 2343-2360.
  • Öztüfekçi, S. (2015). Mikrobiyolojik gübre olarak Bacillus subtilis’in buğday bitkisinin verim ve besin elementi alımına etkisi (Yüksek lisans tezi, Uludağ Üniversitesi, Fen Bilimleri Enstitüsü).
  • Santos, W. M. D., Martins, L. D. C. D. S., Bezerra, A. C., Souza, L. S. B. D., Jardim, A. M. D. R. F., Silva, M. V. D., Souza, C.A.A.D., & Silva, T. G. F. D. (2024). Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review. Drones, 8(10), 585.
  • Sishodia, R. P., Ray, R. L., & Singh, S. K. (2020). Applications of remote sensing in precision agriculture: A review. Remote Sensing, 12(19), 3136. https://doi.org/10.3390/rs12193136
  • Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., … & Smith, J. (2008). Greenhouse gas mitigation in agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1492), 789–813. https://doi.org/10.1098/rstb.2007.2184
  • Smith, S., & de Smet, I. (2018). Root system architecture: Insights from Arabidopsis and cereal crops. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1739), 20170264. https://doi.org/10.1098/rstb.2017.0264
  • T.C. Tarım ve Orman Bakanlığı (2023a), Türkiye Tarımsal Üretim ve Sera Gazı Emisyon Raporu. Ankara: Tarım ve Orman Bakanlığı Yayınları. Erişim address https://www.tarimorman.gov.tr/
  • T.C. Tarım ve Orman Bakanlığı (2023b). Ulusal Tarım Strateji Belgesi 2023–2027. Ankara: T.C. Tarım ve Orman Bakanlığı. Erişim address https://www.tarimorman.gov.tr/Duyuru/Ulusal-Tarim-Stratejisi-2023-2027
  • Tubiello, F. N., Rosenzweig, C., Conchedda, G., Karl, K., Gütschow, J., Xueyao, P., ... & Sandalow, D. (2021). Greenhouse gas emissions from food systems: building the evidence base. Environmental Research Letters, 16(6), 065007.
  • Türkiye İstatistik Kurumu (TÜİK), (2023). Greenhouse Gas Emissions Statistics, 1990–2021. Erişim address https://data.tuik.gov.tr
  • Wang, P., Lombi, E., Zhao, F. J., & Kopittke, P. M. (2016). Nanotechnology: a new opportunity in plant sciences. Trends in plant science, 21(8), 699-712.
  • Wang, W., Luo, X., Ye, X., Chen, Y., Wang, H., Wang, L., ... & Cui, Z. (2020). Predatory Myxococcales are widely distributed in and closely correlated with the bacterial community structure of agricultural land. Applied Soil Ecology, 146, 103365.
  • Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: A review. Precision Agriculture, 13(6), 693–712. https://doi.org/10.1007/s11119-012-9274-5
  • Zhang, L., Wang, A., Zhang, H., Zhu, Q., Zhang, H., Sun, W., & Niu, Y. (2024). Estimating leaf chlorophyll content of winter wheat from UAV multispectral images using machine learning algorithms under different species, growth stages, and nitrogen stress conditions. Agriculture, 14(7), 1064.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Agronomi
Bölüm Derleme
Yazarlar

Çağdaş Can Toprak 0000-0002-0951-7458

Zeki Erden 0000-0003-1613-7768

Gönderilme Tarihi 12 Eylül 2025
Kabul Tarihi 30 Eylül 2025
Yayımlanma Tarihi 30 Aralık 2025
DOI https://doi.org/10.54975/isubuzfd.1782133
IZ https://izlik.org/JA46ES39XP
Yayımlandığı Sayı Yıl 2025 Cilt: 20 Sayı: 2

Kaynak Göster

APA Toprak, Ç. C., & Erden, Z. (2025). Serin İklim Tahıllarında Karbon Ayak İzini Azaltmada Mikrobiyom, Nanoteknoloji ve İHA Yaklaşımları. Ziraat Fakültesi Dergisi, 20(2), 110-115. https://doi.org/10.54975/isubuzfd.1782133

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