Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy
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- Cavero, J. & Plant, R. E. & Shennan, C. & Friedman, D. B. & Williams, J. R. & Kiniry, J. R. & Benson, V. W., 1999. "Modeling nitrogen cycling in tomato-safflower and tomato-wheat rotations," Agricultural Systems, Elsevier, vol. 60(2), pages 123-135, May.
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- Cammarano, D. & Ronga, D. & Di Mola, I. & Mori, M. & Parisi, M., 2020. "Impact of climate change on water and nitrogen use efficiencies of processing tomato cultivated in Italy," Agricultural Water Management, Elsevier, vol. 241(C).
- Anar, Mohammad J. & Lin, Zhulu & Hoogenboom, Gerrit & Shelia, Vakhtang & Batchelor, William D. & Teboh, Jasper M. & Ostlie, Michael & Schatz, Blaine G. & Khan, Mohamed, 2019. "Modeling growth, development and yield of Sugarbeet using DSSAT," Agricultural Systems, Elsevier, vol. 169(C), pages 58-70.
- Du, Ya-Dan & Niu, Wen-Quan & Gu, Xiao-Bo & Zhang, Qian & Cui, Bing-Jing, 2018. "Water- and nitrogen-saving potentials in tomato production: A meta-analysis," Agricultural Water Management, Elsevier, vol. 210(C), pages 296-303.
- Gallardo, Marisa & Elia, Antonio & Thompson, Rodney B., 2020. "Decision support systems and models for aiding irrigation and nutrient management of vegetable crops," Agricultural Water Management, Elsevier, vol. 240(C).
- Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
- Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
- Rana, G. & Katerji, N. & Lazzara, P. & Ferrara, R.M., 2012. "Operational determination of daily actual evapotranspiration of irrigated tomato crops under Mediterranean conditions by one-step and two-step models: Multiannual and local evaluations," Agricultural Water Management, Elsevier, vol. 115(C), pages 285-296.
- Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
- Mason, Brooke & Rufí-Salís, Martí & Parada, Felipe & Gabarrell, Xavier & Gruden, Cyndee, 2019. "Intelligent urban irrigation systems: Saving water and maintaining crop yields," Agricultural Water Management, Elsevier, vol. 226(C).
- Anshuman Gunawat & Devesh Sharma & Aditya Sharma & Swatantra Kumar Dubey, 2022. "Assessment of climate change impact and potential adaptation measures on wheat yield using the DSSAT model in the semi-arid environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 2077-2096, March.
- Wang, Chenxia & Gu, Feng & Chen, Jinliang & Yang, Hui & Jiang, Jingjing & Du, Taisheng & Zhang, Jianhua, 2015. "Assessing the response of yield and comprehensive fruit quality of tomato grown in greenhouse to deficit irrigation and nitrogen application strategies," Agricultural Water Management, Elsevier, vol. 161(C), pages 9-19.
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