Book review. B. A. M. Bouman, H. G. P. Jansen, R. A. Schipper, H. Hengsdijk and A. Nieuwenhuyse. Tools for Land Use Analysis on Different Scales, with Case Studies for Costa Rica. System Approaches for Sustainable Agricultural Development, Volume 8. Kluwer Academic, Dordrecht, The Netherlands, 2000. ISBN: 0‐7923‐6479‐1, 272 pp., Price: NLG 240.00 von Britz, W.

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Exotic Atoms '79 Fundamental Interactions and Structure of Matter von Crowe, Kenneth

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Exotic Atoms '79 Fundamental Interactions and Structure of Matter von Zichichi, Antonino, Crowe, Kenneth, Duclos, Jean

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Assessing the impact of irrigation and nitrogen management on potato performance under varying climate in the state of Florida, USA von da Silva, Andre Luiz Biscaia Ribeiro, Dias, Henrique Boriolo, Gupta, Rishabh, Zotarelli, Lincoln, Asseng, Senthold, Dukes, Michael D., Porter, Cheryl, Hoogenboom, Gerrit

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Fine-tuning the CROPGRO-Sunflower model and its application to the quantification of crop responses to environmental and management variables von Rodriguez, Ignacio M., Mercau, Jorge L., Cipriotti, Pablo A., Hall, Antonio J., Monzon, Juan P.

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Simulating Climate Change Impacts and Adaptive Measures for Rice Cultivation in Hunan Province, China von Li, Yamei, Wu, Wenxiang, Ge, Quansheng, Zhou, Yang, Xu, Chenchen

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An evaluation of the statistical methods for testing the performance of crop models with observed data von Yang, J.M., Yang, J.Y., Liu, S., Hoogenboom, G.

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Assessing soybean yield in Madhya Pradesh by using a multi-model approach von Nargund, Raghavendra, Rautela, Kuldeep Singh, Goyal, Manish Kumar, Sinha, Nishant K., Mohanty, Monoranjan, Bhatia, Virender Singh

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Effects of different observed datasets on the calibration of crop model parameters with GLUE: A case study using the CROPGRO-Soybean phenological model von Zhang, Yonghui, Zhang, Yujie, Jiang, Haiyan, Tang, Liang, Liu, Xiaojun, Cao, Weixing, Zhu, Yan

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Sensitivity analysis of land and water productivities predicted with an empirical and a process-based root water uptake function von de Melo, Marina L.A., de Jong van Lier, Quirijn, Cichota, Rogerio, Pollacco, Joseph A.P., Fernández-Gálvez, Jesús, Pahlow, Markus

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Scientific modelling can be accessible, interoperable and user friendly: A case study for pasture and livestock modelling in Spain von Marquez Torres, Alba, Balbi, Stefano, Villa, Ferdinando

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Modeling for agroecological protection of rice. A review von Dionisi, Mathilde, Aubertot, Jean-Noël, Sester, Mathilde

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Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method von He, Jianqiang, Jones, James W., Graham, Wendy D., Dukes, Michael D.

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Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models von Turek, Maria Eliza, De Jong van Lier, Quirijn, Armindo, Robson André

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Predicting water and nitrogen requirements for maize under semi-arid conditions using the CSM-CERES-Maize model von Hammad, Hafiz Mohkum, Abbas, Farhat, Ahmad, Ashfaq, Farhad, Wajid, Anothai, Jakarat, Hoogenboom, Gerrit

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A Real-Time Gridded Crop Model for Assessing Spatial Drought Stress on Crops in the Southeastern United States von McNider, Richard T., Christy, John R., Moss, Don, Doty, Kevin, Handyside, Cameron, Limaye, Ashutosh, Garcia, Axel Garcia y, Hoogenboom, Gerrit

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Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton von Farahani, Hamid J, Izzi, Gabriella, Oweis, Theib Y

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Modeling in Legumes, with Emphasis on Beans Crop/La modelacion en las leguminosas, con enfasis en el cultivo del frijol von Montesino-Palomino, Alejandro, Gonzalez-Viera, Deborah, Florido-Bacallao, Rene

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Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology via Machine Learning Methods von Hu, Cenhanyi, Hu, Shun, Zeng, Linglin, Meng, Keyu, Liao, Zilong, Wang, Kuang

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Modeling the effects of extreme high-temperature stress at anthesis and grain filling on grain protein in winter wheat von Osman, Raheel, Zhu, Yan, Cao, Weixing, Ding, Zhifeng, Wang, Meng, Liu, Leilei, Tang, Liang, Liu, Bing

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