SavedAdd your journal

Journals / International Journal of Environment and Geoinformatics / 2023 / Cilt: 10 - Sayı: 1

Evaluation of Yield Prediction Performance of DSSAT CSM-CERES-Wheat Model in Some Bread Wheat Varieties

Metin AYDOĞDU
Hakan YILDIZ
Hüdaverdi GÜRKAN
Belgin ALSANCAK SIRLI
Murat Güven TUĞAÇ
Pages
51–66
Publication Date
2023-03-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

For Bayraktar variety, the average measured yield obtained from different nitrogen dose applications (N0,N6,N18) for the 2017-2018 period is 373.3 kg/da, the simulated yield is 373.7 kg/da (N12 dose is neglected), the measured yield for 2018-2019 300. 5 kg/da, the simulated yield was found to be 291.3 kg/da.For the Tosunbey variety, the average yield measured for the 2017-2018 period was 370.0 kg/da, the simulated yield was 338.0 kg/da, the measured yield for the 2018-2019 year was 217.58 kg/da, and the estimated yield was 237.83 kg/da.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Product simulation programs with DSSAT are based on the principle of predicting the potentials of yield and other phenological parameters of wheat varieties with different fertilizer application doses in different climatic and soil conditions.
📊
Key Findings & Data:For this purpose, different wheat varieties (Bayraktar, Tosunbey) were used in order to test the use of the DSSAT simulation model in semi-arid conditions in the Ikizce experimental area of the Haymana District of Ankara Province, Field Crops Central Research Institute, during the 2017-2018 and 2018-2019 periods.
💡
Conclusion & Impact:For Bayraktar variety, the average measured yield obtained from different nitrogen dose applications (N0,N6,N18) for the 2017-2018 period is 373.3 kg/da, the simulated yield is 373.7 kg/da (N12 dose is neglected), the measured yield for 2018-2019 300. 5 kg/da, the simulated yield was found to be 291.3 kg/da.For the Tosunbey variety, the average yield measured for the 2017-2018 period was 370.0 kg/da, the simulated yield was 338.0 kg/da, the measured yield for the 2018-2019 year was 217.58 kg/da, and the estimated yield was 237.83 kg/da.
🔬Design:Modeling & Simulation
📍Scope:2017-2018 Verileri
⚙️Variables:Crop Simulation Modelling · DSSAT CSM-CERES · Fertilization

Abstract

Product simulation programs with DSSAT are based on the principle of predicting the potentials of yield and other phenological parameters of wheat varieties with different fertilizer application doses in different climatic and soil conditions. For this purpose, different wheat varieties (Bayraktar, Tosunbey) were used in order to test the use of the DSSAT simulation model in semi-arid conditions in the Ikizce experimental area of the Haymana District of Ankara Province, Field Crops Central Research Institute, during the 2017-2018 and 2018-2019 periods. The aim of this study is to predict yield in wheat varieties (Bayraktar, Tosunbey) using CERES and CROPGRO sub-models of DSSAT v.4.7.5 simulation model. In the study, the model was run at different nitrogen application doses (0, 6, 12, 18 kg/da) to reveal the yield prediction potential of the wheat cultivars in semi-arid conditions. For the calibration of the model, the grain yield, plant height and Leaf area index (LAI) data obtained were used in the first year of wheat development stage.The accuracy of the model, which was calibrated with the first year data, was tested with the second year data. For Bayraktar variety, the average measured yield obtained from different nitrogen dose applications (N0,N6,N18) for the 2017-2018 period is 373.3 kg/da, the simulated yield is 373.7 kg/da (N12 dose is neglected), the measured yield for 2018-2019 300. 5 kg/da, the simulated yield was found to be 291.3 kg/da.For the Tosunbey variety, the average yield measured for the 2017-2018 period was 370.0 kg/da, the simulated yield was 338.0 kg/da, the measured yield for the 2018-2019 year was 217.58 kg/da, and the estimated yield was 237.83 kg/da.

🔖

Cite This Article

AYDOĞDU, M., YILDIZ, H., GÜRKAN, H., SIRLI, B. A., TUĞAÇ, M. G. (2023). Evaluation of Yield Prediction Performance of DSSAT CSM-CERES-Wheat Model in Some Bread Wheat Varieties. International Journal of Environment and Geoinformatics, Cilt: 10 - Sayı: 1, 51–66. https://ajindex.com/articles/886201

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Akalın, A., (1997). İklim Verilerinden Yararlanarak Türkiye Buğday Üretiminin Tahmini, TC. Devlet İstatistik Enstitüsü Uzmanlık Tezi. Ankara.
  2. Balaghi, R., B. Tychon, H. Eerens, M. Jlibene. 2008. Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco. International Journal of Applied Earth Observation and Geoinformation 10 (2008) 438–452.
  3. Booltink, H. W. G., & Verhagen, J. (1997). Using decision support systems to optimize barley management on spatial variable soil. In Applications of systems approaches at the field level (pp. 219-233).
  4. Springer, Dordrecht. Booltink, H. W. G., Van Alphen, B. J., Batchelor, W. D., Paz, J. O., Stoorvogel, J. J., & Vargas, R. (2001). Tools for optimizing management of spatially-variable fields. Agricultural Systems, 70(2-3), 445-476.
  5. Castrignano A, Katerji N, Karam F, Mastrorilli M, Hamdy A (1998). A modified version of CERES-Maize model for predicting crop response to salinity stress. Ecol. Modell. 111: 107-120.
  6. Gabrielle B, Kengni L (1996). Analysis and field-evaluation of the CERES models’ soil components: nitrogen transfer and transformations. Soil Sci. Soc. Am. J. 60: 142-149.
  7. Gabrielle B, Denoroy P, Gosse G, Justes E, Andersen MN (1998). Development and evaluation of a CERES-type model for winter oilseed rape. Field Crops Res. 57: 95-111.
  8. Godwin DC, Ritchie JT, Singh U, Hunt L (1989). A user’s guide to CERES-Wheat v2. p. 10. Gürkan, H., 2019 Konya Havzasında İklim Değişikliğinin Ayçiçeği (Helianthus Annuus L.) Verimine Olası Etkilerinin Tahmin Edilmesi (Doktora Tezi).Ankara Üniversitesi Fen Bilimleri Enstitüsü. Gürkan, H., Shelia, V., Bayraktar, N., Ersoy Yıldırım, Y., Yesilekin, N., Gunduz, A., Boote, K., Porter, C., Hoogenboom, G. 2021. Estimating the Potential Impact of Climate Change on Sunflower Yield in the Konya Province of Turkey. The Journal of Agricultural Science, 158(10), 806-818. https://doi.org/10.1017/S0021859621000101.
  9. Güler, M. 1987. Orta Anadoluda Yıllık Meteorolojik Verilerin Buğday verimi İle İlişkileri ve Bu İlişkilerin VerimTahminlerinde Kullanılması. Türkiye Tahıl Simpozyumu. S: 271-278, 6-9 Ekim 1987,
  10. Bursa. Hoffmann F, Ritchie JT (1993). Model for slurry and manure in CERES and similar models. J. Agron. Crop Sci. 170: 330-340.
  11. Hoogenboom, G. (2000). Contribution of agrometeorology to the simulation of crop production and its applications. Agricultural and forest meteorology, 103(1-2), 137-157.
  12. Hoogenboom, G., Jones, JW, Por