Open Access
Issue |
OCL
Volume 31, 2024
|
|
---|---|---|
Article Number | 19 | |
Number of page(s) | 13 | |
Section | Agronomy | |
DOI | https://doi.org/10.1051/ocl/2024016 | |
Published online | 24 September 2024 |
- Ahmadi SH, Mosallaeepour E, Kamgar-Haghighi AA, Sepaskhah AR. 2015. Modeling maize yield and soil water content with AquaCrop under full and deficit irrigation managements. Water Res Manag 29: 2837–2853. [CrossRef] [Google Scholar]
- Akumaga U, Tarhule A, Yusuf AA. 2017. Validation and testing of the FAO AquaCrop model under different levels of nitrogen fertilizer on rain fed maize in Nigeria, West Africa. Agric Forest Meteorol 232: 225–234. [Google Scholar]
- Babalola OS, Akinsanola AA. 2016. Change detection in land surface temperation and land use land cover over Lagos Metropolis, Nigeria. J Remote Sen 5: 2–19. [Google Scholar]
- Babazadeh H, Mahdi ST. 2012. Assessment of aquacrop model under soybean deficit irrigation management condition. J Water Soil 26: 329–339. [Google Scholar]
- Blum FA. 2009. Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress. Field Crops Res 112: 119–123. [CrossRef] [Google Scholar]
- Cocco D, Deligios P, Ledda L, Sulas L, Virdis A, Carboni G. 2014. LCA study of oleaginous bioenergy chains in a Mediterranean environment. Energies 7: 6258–6281. [CrossRef] [Google Scholar]
- Dirwai TL, Senzanje A, Mabhaudhi T. 2021. Calibration and evaluation of the FAO AquaCrop model for Canola (Brassica napus) under varied moistube irrigation regimes. J Agric 11: 410. [Google Scholar]
- Doorenbos J, Kassam A. 1979. Yield response to water. FAO Irrigation and Drainage. Paper No. 33: 257. [Google Scholar]
- Ebrahimipak NA, Egdernezhad A, TaftehDavoud A, Dehkord KH. 2018. Evaluation of AquaCrop Model to Simulate Canola (Brassica napus) Yield under Deficit Irrigation Scenarios in Gazvin Plain. Iran J Soil Water Res 49: 1003–1015. [Google Scholar]
- Farahani HJ, Izzi G, Oweis TY. 2009. Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron J. 101: 469–476. [Google Scholar]
- Fathi Gh, Moradi Telavat MR, Naderi Arefi A. 2010. Rapeseed Physiology. Publications of Shahid Chamran University. [Google Scholar]
- Foster T, Brozovic N, Butler AP. 2014. Modeling irrigation behavior in groundwater systems. Water Resources Res. 50: 6370–6389. [Google Scholar]
- Ghasemifar E, Naserpoor S. Zoning climate Zagros region. 2014. Scientific-Research Quartery of Geographical Data 23: 54–60. [Google Scholar]
- Ghasemian Ardestani H, Jahan M, Shirani Rad AH. 2020. Evaluation of qualitative traits of selected cultivars of canola in autumn and winter crops affected by different irrigation regimes. Environ Stresses Crop Sci 12: 429–443. [Google Scholar]
- Heng Lk, Hsiao TC, Evett S, Howell T, Steduto P. 2009. Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agron J. 101: 488–498. [CrossRef] [Google Scholar]
- Hsiao TC, Heng LK, Stedut P, Raes D, Fereres E. 2009. AquaCrop-Model parameterization and testing for maize. Agron J.101: 448–459. [Google Scholar]
- Huang X, Huang G, Yu Ch, Ni Sh, Yu L. 2017. A multiple crop model ensemble for improving broad scale yield prediction using Bayesian model averaging. Field Crop Res. 211: 114–124. [Google Scholar]
- Kumar P, Sarangi A, Singh DK, Parihar SS. 2014. Evaluation of AquaCrop model in predicting wheat yield and water productivity under irrigated saline regimes. Irrigat Drain 63: 474–487. [CrossRef] [Google Scholar]
- Jovzi M, Ghorbani Z, Ghadami Firouzabadi A, Sepehri N, Zare Abyaneh H. 2020. Evaluation of AquaCrop model under deficit irrigation management of potato new clones in Hamedan. Iran J Irrig Drain 14: 230–240. [Google Scholar]
- Montoya F, Camargo D, Ortega JF, Corcoles JI, Dominguez A. 2016. Evaluation of Aquacrop model for a potato crop under different irrigation conditions. Agric Water Manag 164: 267–280. [CrossRef] [Google Scholar]
- Moradi-Telavat MR, Siadat, SA. 2012. Introduction and Production of Oilseed Plants. Tehran: Education and Extention of Agriculture Press. [Google Scholar]
- Moriasi DN, Arnold JG, Van liew MW, Bingener RL, Harmel RD, Veith TL. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE. 50.3: 885–900. [Google Scholar]
- Paredes P, de Melo-Abreu JP, Alves I, Pereira LS. 2014. Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization. Agric Water Manag 114: 81–97. [Google Scholar]
- Raes D, Steduto P, Hsiao TC, Fereres E. 2009. Reference manual AquaCrop. FAO, Land and Water Division, Rome, Italy. [Google Scholar]
- Raes D, Steduto P, Hsiao TC, Freres E. 2012. Refrence manual AquaCrop, FAO, land and water division, Rome Italy. [Google Scholar]
- Sandhu R, Irmak S. 2019. Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation. Agric Water Manag 223: 105687. [CrossRef] [Google Scholar]
- Sayyahi H, Egdernezhad A, Ebrahimipak N. 2020. Comparison of AquaCrop and SWAP for simulation of sugar beet yield and water use efficiency under different irrigation intervals. Iran J Irrigat Drain 14: 1311–1321. [Google Scholar]
- Stricevic R, Dzeletovic Z, Djurovic N, Cosic M. 2014. Application of the AquaCrop model to simulate the biomass of Miscanthus x giganteus under different nutrient supply conditions. Glob Change Biol Bioenergy 7: 1203–1210. [Google Scholar]
- Wang E, He D, Wang J, Lilley JM, Christy B, Hoffmann MP, O’Leary G. et al. 2022. How reliable are current crop models for simulating growth and seed yield of canola across global sites and under future climate change? Climatic Change 172. https://doi.org/10.1007/s10584-022-03375-2 [CrossRef] [Google Scholar]
- Willmott CJ. 1982. Some comments on the evaluation of model performance. Bull Am Meteorolog Soc. 63: 1309–1313. [Google Scholar]
- Zareei Siahbidi A, Rezaeizad A. 2019. Study on response of some oilseed rape genotypes to drought stress. Applied Res in Field Crop. 32(4): 75–59 [Google Scholar]
- Zavareh M, Emam E. 2008. A guide to identifying the life stage of canola. Iran J Field Crop Sci 1: 1–14. [Google Scholar]
- Zeleke K, Luckett D, Cowley R. 2011. Calibration and testing of the FAO AquaCrop model for Canola. Agron J. 103: 1610–1618. [CrossRef] [Google Scholar]
- Zhang W, Liu W, Xue Q, Pei H, Chen J, Han X. 2013. Evaluation of the AquaCrop model for simulating yield response of winter wheat to water on the southern Loess Plateau of China. Water Sci Technol 68: 821–828. [CrossRef] [PubMed] [Google Scholar]
- Ziaii Gh, Babazadeh H, Abbasi F, Kaveh F. 2015. Evaluation of the AquaCrop and CERES-maize models in assessment of soil water balance and maize yield. Iran J Soil Water Res 45: 435–445. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.