304 results on '"Wolf, Joost"'
Search Results
2. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat
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Liu, Bing, primary, Martre, Pierre, additional, Ewert, Frank, additional, Webber, Heidi, additional, Waha, Katharina, additional, Thorburn, Peter J., additional, Ruane, Alex C., additional, Aggarwal, Pramod K., additional, Ahmed, Mukhtar, additional, Balkovič, Juraj, additional, Basso, Bruno, additional, Biernath, Christian, additional, Bindi, Marco, additional, Cammarano, Davide, additional, Cao, Weixing, additional, Challinor, Andy J., additional, Sanctis, Giacomo De, additional, Dumont, Benjamin, additional, Espadafor, Mónica, additional, Rezaei, Ehsan Eyshi, additional, Fereres, Elias, additional, Ferrise, Roberto, additional, Garcia-Vila, Margarita, additional, Gayler, Sebastian, additional, Gao, Yujing, additional, Horan, Heidi, additional, Hoogenboom, Gerrit, additional, Izaurralde, Roberto C., additional, Jabloun, Mohamed, additional, Jones, Curtis D., additional, Kassie, Belay T., additional, Kersebaum, Kurt C., additional, Klein, Christian, additional, Koehler, Ann-Kristin, additional, Maiorano, Andrea, additional, Minoli, Sara, additional, Martin, Manuel Montesino San, additional, Müller, Christoph, additional, Kumar, Soora Naresh, additional, Nendel, Claas, additional, O’Leary, Garry J., additional, Olesen, Jørgen Eivind, additional, Palosuo, Taru, additional, Porter, John R., additional, Priesack, Eckart, additional, Ripoche, Dominique, additional, Rötter, Reimund P., additional, Semenov, Mikhail A., additional, Stöckle, Claudio, additional, Stratonovitch, Pierre, additional, Streck, Thilo, additional, Supit, Iwan, additional, Tao, Fulu, additional, Velde, Marijn Van der, additional, Wang, Enli, additional, Wolf, Joost, additional, Xiao, Liujun, additional, Zhang, Zhao, additional, Zhao, Zhigan, additional, Zhu, Yan, additional, and Asseng, Senthold, additional
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- 2023
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3. Can sub-Saharan Africa feed itself?
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van Ittersum, Martin K., van Bussel, Lenny G. J., Wolf, Joost, Grassini, Patricio, van Wart, Justin, Guilpart, Nicolas, Claessens, Lieven, de Groot, Hugo, Wiebe, Keith, Mason-D’Croz, Daniel, Yang, Haishun, Boogaard, Hendrik, van Oort, Pepijn A. J., van Loon, Marloes P., Saito, Kazuki, Adimo, Ochieng, Adjei-Nsiah, Samuel, Agali, Alhassane, Bala, Abdullahi, Chikowo, Regis, Kaizzi, Kayuki, Kouressy, Mamoutou, Makoi, Joachim H. J. R., Ouattara, Korodjouma, Tesfaye, Kindie, and Cassman, Kenneth G.
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- 2016
4. The nitrogen price of improved wheat yield under climate change
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Martre, Pierre, primary, Dueri, Sibylle, additional, Guarin, Jose, additional, Ewert, F, additional, Webber, Heidi, additional, Calderini, Daniel, additional, Molero, Gemma, additional, Reynolds, Matthew, additional, Miralles, Daniel, additional, Garcia, Guillermo, additional, Brown, Hamish, additional, George, Mike, additional, Craigie, Rob, additional, Cohan, Jean-Pierre, additional, Deswarte, Jean-Charles, additional, Slafer, Gustavo, additional, Giunta, F, additional, Cammarano, Davide, additional, Ferrise, Roberto, additional, GAISER, Thomas, additional, Gao, Yujing, additional, Hochman, Zvi, additional, Hoogenboom, Gerrit, additional, Hunt, Leslie A, additional, Kersebaum, Kurt, additional, Nendel, Claas, additional, Padovan, Gloria, additional, Ruane, Alex, additional, Stella, Tommaso, additional, Supit, Iwan, additional, Srivast, Amit, additional, Thorburn, Peter, additional, Wang, Enli, additional, Wolf, Joost, additional, Zhao, Chuang, additional, Zhao, Zhigan, additional, and Asseng, Senthold, additional
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- 2023
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5. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat
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Liu, Bing, Martre, Pierre, Ewert, Frank, Webber, Heidi, Waha, Katharina, Thorburn, Peter, Ruane, Alex, Aggarwal, Pramod, Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Cao, Weixing, Challinor, Andy, de Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto, Jabloun, Mohamed, Jones, Curtis, Kassie, Belay, Kersebaum, Kurt, Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’leary, Garry, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, van der Velde, Marijn, Wang, Enli, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, Liu, Bing, Martre, Pierre, Ewert, Frank, Webber, Heidi, Waha, Katharina, Thorburn, Peter, Ruane, Alex, Aggarwal, Pramod, Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Cao, Weixing, Challinor, Andy, de Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto, Jabloun, Mohamed, Jones, Curtis, Kassie, Belay, Kersebaum, Kurt, Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’leary, Garry, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, van der Velde, Marijn, Wang, Enli, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold
- Abstract
The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering all global wheat mega environments. The multi-model ensemble reported here has been thoroughly benchmarked against a large number of experimental data, including different locations, growing season temperatures, atmospheric CO2 concentration, heat stress scenarios, and their interactions. In this paper, we describe the main characteristics of this global simulation dataset. Detailed cultivar, crop management, and soil datasets were compiled for all locations to drive 32 wheat growth models. The dataset consists of 30-year simulated data including 25 output variables for nine climate scenarios, including Baseline (1980-2010) with 360 or 550 ppm CO2, Baseline +2oC or +4oC with 360 or 550 ppm CO2, a mid-century climate change scenario (RCP8.5, 571 ppm CO2), and 1.5°C (423 ppm CO2) and 2.0oC (487 ppm CO2) warming above the pre-industrial period (HAPPI). This global simulation dataset can be used as a benchmark from a well-tested multi-model ensemble in future analyses of global wheat. Also, resource use efficiency (e.g., for radiation, water, and nitrogen use) and uncertainty analyses under different climate scenarios can be explored at different scales. The DOI for the dataset is 10.5281/zenodo.4027033 (AgMIP-Wheat, 2020), and all the data are available on the data repository of Zenodo (http://doi.org/10.5281/zenodo.4027033). Two scientific publications have been published based on some of these data here.
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- 2023
6. Climate Change Impact and Adaptation for Wheat Protein
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Asseng, Senthold, Martre, Pierre, Maiorano, Andrea, Rötter, Reimund P, O’Leary, Garry J, Fitzgerald, Glenn J, Girousse, Christine, Motzo, Rosella, Giunta, Francesco, Babar, M. Ali, Reynolds, Matthew P, Kheir, Ahmed M. S, Thorburn, Peter J, Waha, Katharina, Ruane, Alex C, Aggarwal, Pramod K, Ahmed, Mukhtar, Balkovic, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Challinor, Andrew J, Sanctis, Giacomo De, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, R. César, Jabloun, Mohamed, Jones, Curtis D, Kassie, Belay T, Kersebaum, Kurt-Christian, Klein, Christian, Koehler, Ann-Kristin, Liu, Bing, Minoli, Sara, Martin, Manuel Montesino San, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John R, Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A, Stockle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Velde, Marijn Van der, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Ewert, Frank
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Meteorology And Climatology - Abstract
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
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- 2018
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7. Aging Impairs Long-Term Hematopoietic Regeneration after Autologous Stem Cell Transplantation
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Woolthuis, Carolien M., Mariani, Niccoló, Verkaik-Schakel, Rikst Nynke, Brouwers-Vos, Annet Z., Schuringa, Jan Jacob, Vellenga, Edo, de Wolf, Joost T.M., and Huls, Gerwin
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- 2014
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8. Comparing conventional and organic agriculture in Karnataka, India: Where and when can organic farming be sustainable?
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Patil, Sheetal, Reidsma, Pytrik, Shah, Pratik, Purushothaman, Seema, and Wolf, Joost
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- 2014
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9. Haematological and coagulation disorders and anaesthesia
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Hendriks, Herman G. D., additional and de Wolf, Joost T. M., additional
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- 2017
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10. Detection of Disease: Possibilities and Limitations
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de Wolf, Joost Th. M., Sibinga, C. Th. Smit, editor, and Dodd, R. Y., editor
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- 2002
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11. Integrated assessment of agricultural land use policies on nutrient pollution and sustainable development in Taihu Basin, China
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Reidsma, Pytrik, Feng, Shuyi, van Loon, Marloes, Luo, Xiaojuan, Kang, Chiakan, Lubbers, Marcel, Kanellopoulos, Argyris, Wolf, Joost, van Ittersum, Martin K., and Qu, Futian
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- 2012
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12. The Uncertainty of Crop Yield Projections Is Reduced by Improved Temperature Response Functions
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Wang, Enli, Martre, Pierre, Zhao, Zhigan, Ewert, Frank, Maiorano, Andrea, Rotter, Reimund P, Kimball, Bruce A, Ottman, Michael J, White, Jeffrey W, Reynolds, Matthew P, Alderman, Phillip D, Aggarwal, Pramod K, Anothai, Jakarat, Basso, Bruno, Biernath, Christian, Cammarano, Davide, Challinor, Andrew J, De Sanctis, Giacomo, Doltra, Jordi, Fereres, Elias, Garcia-Vila, Margarita, Gayler, Sebastian, Hoogenboom, Gerrit, Hunt, Leslie A, Izaurralde, Roberto C, Jabloun, Mohamed, Jones, Curtis D, Kersebaum, Kurt C, Koehler, Ann-Kristin, Liu, Leilei, Muller, Christoph, Naresh Kumar, Soora, Nendel, Claas, O'Leary, Garry, Oleson, Jorgen E, Palosuo, Tara, Priesack, Eckhart, Eyshi, Rezaei, Ehsan, Ripoche, Dominique, Ruane, Alex C, Semenov, Mikhail A, Scherbak, Lurii, Stockle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Waha, Katharina, Wallach, Daniel, Wang, Zhimin, Wolf, Joost, Zhu, Yan, and Asseng, Senthold
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Meteorology And Climatology - Abstract
Increasing the accuracy of crop productivity estimates is a key element in planning adaptation strategies to ensure global food security under climate change. Process-based crop models are effective means to project climate impact on crop yield, but have large uncertainty in yield simulations. Here, we show that variations in the mathematical functions currently used to simulate temperature responses of physiological processes in 29 wheat models account for is greater than 50% of uncertainty in simulated grain yields for mean growing season temperatures from 14 C to 33 C. We derived a set of new temperature response functions that when substituted in four wheat models reduced the error in grain yield simulations across seven global sites with different temperature regimes by 19% to 50% (42% average). We anticipate the improved temperature responses to be a key step to improve modelling of crops under rising temperature and climate change, leading to higher skill of crop yield projections.
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- 2017
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13. The International Heat Stress Genotype Experiment for Modeling Wheat Response to Heat: Field Experiments and AgMIP-Wheat Multi-Model Simulations
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Martre, Pierre, Reynolds, Matthew P, Asseng, Senthold, Ewert, Frank, Alderman, Phillip D, Cammarano, Davide, Maiorano, Andrea, Ruane, Alexander C, Aggarwal, Pramod K, Anothai, Jakarat, Basso, Bruno, Biernath, Christian, Challinor, Andrew J, De Sanctis, Giacomo, Doltra, Jordi, Dumont, Benjamin, Fereres, Elias, Garcia-Vila, Margarita, Gayler, Sebastian, Hohenheim, Gerrit, Hunt, Leslie A, Izaurralde, Roberto C, Jabloun, Mohamed, Jones, Curtis D, Kassie, Belay T, Kersebaum, Kurt T, Koehler, Ann-Kristin, Mueller, Christoph, Kumar, Soora Naresh, Liu, Bing, Lobell, David B, Nendel, Claas, O’Leary, Garry, Olesen, Jørgen E, Palosuo, Taru, Priesack, Eckart, Rezaei, Ehsan Eyshi, Ripoche, Dominique, Roetter, Reimund P, Semenov, Mikhail A, Stoeckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Waha, Katharina, Wang, Enli, White, Jeffrey W, Wolf, Joost, Zhao, Zhigan, and Zhu, Yan
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Meteorology And Climatology - Abstract
The data set contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat crop models and quantify the impact of heat on global wheat yield productivity. It includes two spring wheat cultivars grown during two consecutive winter cropping cycles at hot, irrigated, and low latitude sites in Mexico (Ciudad Obregon and Tlaltizapan), Egypt (Aswan), India (Dharwar), the Sudan (Wad Medani), and Bangladesh (Dinajpur). Experiments in Mexico included normal (November-December) and late (January-March) sowing dates. Data include local daily weather data, soil characteristics and initial soil conditions, crop measurements (anthesis and maturity dates, anthesis and final total above ground biomass, final grain yields and yields components), and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models.
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- 2017
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14. Modeling Winter Wheat Production across Europe with WOFOST-The Effect of Two New Zonations and Two Newly Calibrated Model Parameter Sets
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Wolf, Joost, primary, Hessel, Rudi, additional, Boogaard, Hendrik, additional, de Wit, Allard, additional, Akkermans, Wies, additional, and van Diepen, Kees, additional
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- 2015
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15. Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects
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Makowski, David, primary, Asseng, Senthold, additional, Ewert, Frank, additional, Bassu, Simona, additional, Durand, Jean-Louis, additional, Martre, Pierre, additional, Adam, Myriam, additional, Aggarwal, Pramod K., additional, Angulo, Carlos, additional, Baron, Christian, additional, Basso, Bruno, additional, Bertuzzi, Patrick, additional, Biernath, Christian, additional, Boogaard, Hendrik, additional, Boote, Kenneth J., additional, Brisson, Nadine, additional, Cammarano, Davide, additional, Challinor, Andrew J., additional, Conijn, Sjakk J. G., additional, Corbeels, Marc, additional, Deryng, Delphine, additional, De Sanctis, Giacomo, additional, Doltra, Jordi, additional, Gayler, Sebastian, additional, Goldberg, Richard, additional, Grassini, Patricio, additional, Hatfield, Jerry L., additional, Heng, Lee, additional, Hoek, Steven, additional, Hooker, Josh, additional, Hunt, Tony L. A., additional, Ingwersen, Joachim, additional, Izaurralde, Cesar, additional, Jongschaap, Raymond E. E., additional, Jones, James W., additional, Kemanian, Armen R., additional, Kersebaum, Christian, additional, Kim, Soo-Hyung, additional, Lizaso, Jon, additional, Müller, Christoph, additional, Kumar, Naresh S., additional, Nendel, Claas, additional, O'Leary, Garry J., additional, Olesen, Jorgen E., additional, Osborne, Tom M., additional, Palosuo, Taru, additional, Pravia, Maria V., additional, Priesack, Eckart, additional, Ripoche, Dominique, additional, Rosenzweig, Cynthia, additional, Ruane, Alexander C., additional, Sau, Fredirico, additional, Semenov, Mickhail A., additional, Shcherbak, Iurii, additional, Steduto, Pasquale, additional, Stöckle, Claudio, additional, Stratonovitch, Pierre, additional, Streck, Thilo, additional, Supit, Iwan, additional, Tao, Fulu, additional, Teixeira, Edmar I., additional, Thorburn, Peter, additional, Timlin, Denis, additional, Travasso, Maria, additional, Rötter, Reimund, additional, Waha, Katharina, additional, Wallach, Daniel, additional, White, Jeffrey W., additional, Williams, Jimmy R., additional, and Wolf, Joost, additional
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- 2015
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16. Comparison of two potato simulation models under climate change. : I. Model calibration and sensitivity analyses
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Wolf, Joost
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- 2002
17. Comparison of two potato simulation models under climate change. : II. Application of climate change scenarios
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Wolf, Joost
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- 2002
18. Comparison of two soya bean simulation models under climate change. : I. Model calibration and sensitivity analyses
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Wolf, Joost
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- 2002
19. Comparison of two soya bean simulation models under climate change. : II. Application of climate change scenarios
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Wolf, Joost
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- 2002
20. A methodology for enhanced flexibility of integrated assessment in agriculture
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Ewert, Frank, van Ittersum, Martin K., Bezlepkina, Irina, Therond, Olivier, Andersen, Erling, Belhouchette, Hatem, Bockstaller, Christian, Brouwer, Floor, Heckelei, Thomas, Janssen, Sander, Knapen, Rob, Kuiper, Marijke, Louhichi, Kamel, Olsson, Johanna Alkan, Turpin, Nadine, Wery, Jacques, Wien, Jan Erik, and Wolf, Joost
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- 2009
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21. In vivo hemostatic efficacy of polyurethane foam compared to collagen and gelatin
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Broekema, Ferdinand I., van Oeveren, Wim, Selten, Maaike H. A., Meijer, Rolf J. H., de Wolf, Joost T. M., and Bos, Rudolf R. M.
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- 2013
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22. Yield Response of an Ensemble of Potato Crop Models to Elevated CO2 in Continental Europe
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Fleisher, David H., primary, Condori, Bruno, additional, Barreda, Carolina, additional, Berguijs, Herman, additional, Bindi, Marco, additional, Boote, Ken, additional, Craigon, Jim, additional, Evert, Frits van, additional, Fangmeier, Andreas, additional, Ferrise, Roberto, additional, Gayler, Sebastian, additional, Hoogenboom, Gerrit, additional, Merante, Paolo, additional, Nendel, Claas, additional, Ninanya, Johan, additional, Pleijel, Håkan, additional, Raes, Dirk, additional, Ramírez, David A., additional, Raymundo, Rubi, additional, Reidsma, Pytrik, additional, Silva, João Vasco, additional, Stöckle, Claudio O., additional, Supit, Iwan, additional, Stella, Tommaso, additional, Vandermeiren, Karine, additional, van Oort, Pepijn, additional, Vanuytrecht, Eline, additional, Vorne, Virpi, additional, and Wolf, Joost, additional
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- 2021
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23. Yield Response of an Ensemble of Potato Crop Models to Elevated CO2 in Continental Europe
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Fleischer, D., Condori, B., Barreda, C., Berghuijs, H.N.C., Bindi, M., Boote, K., Craigon, J., van Evert, Frits, Fangmeier, A., Ferrise, R., Gayler, S., Hoogenboom, G., Merante, P., Nendel, C., Ninanya, J., Pleijel, H., Raes, D., Ramirez, D.A., Raymundo, R., Reidsma, P., Silva, J.V., Stöckle, C.O., Supit, Iwan, Stella, T., Vandermeiren, K., van Oort, Pepijn, Vanuytrecht, E., Vorne, V., Wolf, Joost, Fleischer, D., Condori, B., Barreda, C., Berghuijs, H.N.C., Bindi, M., Boote, K., Craigon, J., van Evert, Frits, Fangmeier, A., Ferrise, R., Gayler, S., Hoogenboom, G., Merante, P., Nendel, C., Ninanya, J., Pleijel, H., Raes, D., Ramirez, D.A., Raymundo, R., Reidsma, P., Silva, J.V., Stöckle, C.O., Supit, Iwan, Stella, T., Vandermeiren, K., van Oort, Pepijn, Vanuytrecht, E., Vorne, V., and Wolf, Joost
- Abstract
A multi-model inter-comparison study was conducted to evaluate the performance of ten potato crop models to accurately predict potato yield in response to elevated CO2 (Ce) when calibrated with ambient CO2 data (Ca). Experimental data from seven open-top chambers (OTC) and free-air−CO2-enrichment (FACE) facilities across continental Europe were used. Model ensemble percent errors averaged over all datasets for simulated yields were 26.5 % for Ca and 27.2 % Ce data. Metrics such as Wilmott’s index of agreement (IA) and root mean square relative error (RMSRE) ranged broadly among individual models and locations, such that four of the ten models outperformed the median or mean of the ensemble for about half of the Ce datasets. These top performing models were representative of three different model structural groups, including radiation use efficiency, transpiration efficiency, or leaf-level based approaches. Relative response to an increase in CO2 was more accurately modeled than absolute yield responses when averaged across all locations, and within 3.3 kg ppm−1 (or 5%) of observed values. Specific targets in the model structure needed for improvement were not identified due to large and inconsistent variation in the accuracy of yield predictions across locations. However, models with the lowest calibration errors tended to be top performers for Ce predictions as well. Such results suggest calibration is at least as important as model structure. Where possible, modelers using potato models to estimate Ce responses should use Ce calibration data to improve confidence in such predictions.
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- 2021
24. Platelet production rate predicts the response to prednisone therapy in patients with idiopathic thrombocytopenic purpura
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Houwerzijl, Ewout J., Louwes, Henk, Sluiter, Wim J., Smit, Jan W., Vellenga, Edo, and de Wolf, Joost Th.M.
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- 2008
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25. Combining farm and regional level modelling for Integrated Resource Management in East and South-east Asia
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Roetter, Reimund P., van den Berg, Marrit, Laborte, Alice G., Hengsdijk, Huib, Wolf, Joost, van Ittersum, Martin, van Keulen, Herman, Agustin, Epifania O., Thuc Son, Tran, Xuan Lai, Nguyen, and Guanghuo, Wang
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- 2007
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26. Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions
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Wang, Enli, Martre, Pierre, Zhao, Zhigan, Ewert, Frank, Maiorano, Andrea, Rötter, Reimund P., Kimball, Bruce A., Ottman, Michael J., Wall, Gerard W., White, Jeffrey W., Reynolds, Matthew P., Alderman, Phillip D., Aggarwal, Pramod K., Anothai, Jakarat, Basso, Bruno, Biernath, Christian, Cammarano, Davide, Challinor, Andrew J., De Sanctis, Giacomo, Doltra, Jordi, Dumont, Benjamin, Fereres, Elias, Garcia-Vila, Margarita, Gayler, Sebastian, Hoogenboom, Gerrit, Hunt, Leslie A., Izaurralde, Roberto C., Jabloun, Mohamed, Jones, Curtis D., Kersebaum, Kurt C., Koehler, Ann-Kristin, Liu, Leilei, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’Leary, Garry, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Rezaei, Ehsan Eyshi, Ripoche, Dominique, Ruane, Alex C., Semenov, Mikhail A., Shcherbak, Iurii, Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Waha, Katharina, Wallach, Daniel, Wang, Zhimin, Wolf, Joost, Zhu, Yan, and Asseng, Senthold
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- 2017
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27. Combined thalidomide and cyclophosphamide treatment for refractory or relapsed multiple myeloma patients: a prospective phase II study
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Hovenga, Sjoerd, Daenen, Simon M. G. J., de Wolf, Joost T. M., van Imhoff, Gustaaf W., Kluin-Nelemans, Hanneke C., Sluiter, Wim J., and Vellenga, Edo
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- 2005
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28. Modeling Winter Wheat Production across Europe with WOFOST—The Effect of Two New Zonations and Two Newly Calibrated Model Parameter Sets
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Wolf, Joost, primary, Hessel, Rudi, additional, Boogaard, Hendrik, additional, de Wit, Allard, additional, Akkermans, Wies, additional, van Diepen, Kees, additional, Ahuja, Laj R., additional, and Ma, Liwang, additional
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- 2011
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29. Effects of red blood cells on hemostasis
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Roeloffzen, Wilfried W.H., Kluin-Nelemans, Hanneke C., Bosman, Lotte, and de Wolf, Joost Th.M.
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- 2010
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30. Quantifying the reduction in immunoglobulin use over time in patients with chronic immune thrombocytopenic purpura receiving romiplostim (AMG 531)
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Pullarkat, Vinod A., Gernsheimer, Terry B., Wasser, Jeffrey S., Newland, Adrian, Guthrie, Troy H., Jr, de Wolf, Joost Th. M., Stewart, Ron, and Berger, Dietmar
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- 2009
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31. Increased peripheral platelet destruction and caspase-3–independent programmed cell death of bone marrow megakaryocytes in myelodysplastic patients
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Houwerzijl, Ewout J., Blom, Nel R., van der Want, Johannes J.L., Louwes, Henk, Esselink, Mariet T., Smit, Jan W., Vellenga, Edo, and de Wolf, Joost Th.M.
- Published
- 2005
- Full Text
- View/download PDF
32. Global wheat production with 1.5 and 2.0°C above pre-industrial warming
- Author
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Liu, Bing, Martre, Pierre, Ewert, Frank, Porter, John R., Challinor, Andy J., Müller, Christoph, Ruane, Alex C., Waha, Katharina, Thorburn, Peter J., Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, De Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Eyshi Rezaei, Ehsan, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Naresh Kumar, Soora, Nendel, Claas, O’Leary, Garry J., Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold
- Subjects
1.5°C warming ,climate change ,extreme low yields ,food security ,model ensemble ,wheat production - Published
- 2019
33. A ‘pre-induction course’ with non-cross-reacting cytostatic drugs for rapid tumour load reduction improves outcome in adult acute lymphoblastic leukaemia
- Author
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Daenen, Simon, van Imhoff, Gustaaf W., de Wolf, Joost T.M., Vellenga, Edo, van den Berg-de Ruiter, Eva, and Kluin-Nelemans, Hanneke C.
- Published
- 2007
34. Climate change impact and adaptation for wheat protein
- Author
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Asseng, Senthold, Martre, Pierre, Maiorano, Andrea, Roetter, Reimund P., O'Leary, Garry J., Fitzgerald, Glenn J., Girousse, Christine, Motzo, Rosella, Giunta, Francesco, Babar, M. Ali, Reynolds, Matthew P., Kheir, Ahmed M. S., Thorburn, Peter J., Waha, Katharina, Ruane, Alex C., Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovic, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Challinor, Andrew J., De Sanctis, Giacomo, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, R. Cesar, Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt-Christian, Klein, Christian, Koehler, Ann-Kristin, Liu, Bing, Minoli, Sara, San Martin, Manuel Montesino, Mueller, Christoph, Kumar, Soora Naresh, Nendel, Claas, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John R., Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A., Stockle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Ewert, Frank, Asseng, Senthold, Martre, Pierre, Maiorano, Andrea, Roetter, Reimund P., O'Leary, Garry J., Fitzgerald, Glenn J., Girousse, Christine, Motzo, Rosella, Giunta, Francesco, Babar, M. Ali, Reynolds, Matthew P., Kheir, Ahmed M. S., Thorburn, Peter J., Waha, Katharina, Ruane, Alex C., Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovic, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Challinor, Andrew J., De Sanctis, Giacomo, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, R. Cesar, Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt-Christian, Klein, Christian, Koehler, Ann-Kristin, Liu, Bing, Minoli, Sara, San Martin, Manuel Montesino, Mueller, Christoph, Kumar, Soora Naresh, Nendel, Claas, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John R., Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A., Stockle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Ewert, Frank
- Published
- 2019
35. Global wheat production with 1.5 and 2.0°C above pre‐industrial warming
- Author
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National Science Foundation (US), National Natural Science Foundation of China, International Food Policy Research Institute (US), CGIAR (France), Institut National de la Recherche Agronomique (France), Federal Ministry of Education and Research (Germany), Biotechnology and Biological Sciences Research Council (UK), China Scholarship Council, Department of Agriculture and Water Resources (Australia), Ministero delle Politiche Agricole Alimentari e Forestali, Gorgan University, Victoria State Government, National Institute of Food and Agriculture (US), Federal Ministry of Food and Agriculture (Germany), German Research Foundation, Academy of Finland, LabEx Agro, Natural Resources Institute Finland, Liu, Bing, Martre, Pierre, Ewert, Frank, Porter, John R., Challinor, Andrew J., Müller, Christoph, Ruane, Alexander C., Waha, Katharina, Thorburn, Peter, Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Jurajb, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, De Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Kumar, Soora Naresh, Nendel, Claas, O'Leary, Garry, Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, National Science Foundation (US), National Natural Science Foundation of China, International Food Policy Research Institute (US), CGIAR (France), Institut National de la Recherche Agronomique (France), Federal Ministry of Education and Research (Germany), Biotechnology and Biological Sciences Research Council (UK), China Scholarship Council, Department of Agriculture and Water Resources (Australia), Ministero delle Politiche Agricole Alimentari e Forestali, Gorgan University, Victoria State Government, National Institute of Food and Agriculture (US), Federal Ministry of Food and Agriculture (Germany), German Research Foundation, Academy of Finland, LabEx Agro, Natural Resources Institute Finland, Liu, Bing, Martre, Pierre, Ewert, Frank, Porter, John R., Challinor, Andrew J., Müller, Christoph, Ruane, Alexander C., Waha, Katharina, Thorburn, Peter, Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Jurajb, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, De Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Kumar, Soora Naresh, Nendel, Claas, O'Leary, Garry, Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold
- Abstract
Efforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual variability. Here, with the latest climate scenarios from the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, we evaluated the impacts of the 2015 Paris Agreement range of global warming (1.5 and 2.0°C warming above the pre‐industrial period) on global wheat production and local yield variability. A multi‐crop and multi‐climate model ensemble over a global network of sites developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Wheat was used to represent major rainfed and irrigated wheat cropping systems. Results show that projected global wheat production will change by −2.3% to 7.0% under the 1.5°C scenario and −2.4% to 10.5% under the 2.0°C scenario, compared to a baseline of 1980–2010, when considering changes in local temperature, rainfall, and global atmospheric CO2 concentration, but no changes in management or wheat cultivars. The projected impact on wheat production varies spatially; a larger increase is projected for temperate high rainfall regions than for moderate hot low rainfall and irrigated regions. Grain yields in warmer regions are more likely to be reduced than in cooler regions. Despite mostly positive impacts on global average grain yields, the frequency of extremely low yields (bottom 5 percentile of baseline distribution) and yield inter‐annual variability will increase under both warming scenarios for some of the hot growing locations, including locations from the second largest global wheat producer—India, which supplies more than 14% of global wheat. The projected global impact of warming <2°C on wheat production is therefore not
- Published
- 2019
36. Climate change impact and adaptation for wheat protein
- Author
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International Food Policy Research Institute (US), CGIAR (France), European Commission, Institut National de la Recherche Agronomique (France), National Natural Science Foundation of China, Federal Ministry of Food and Agriculture (Germany), Biotechnology and Biological Sciences Research Council (UK), Innovation Fund Denmark, China Scholarship Council, Ministero delle Politiche Agricole Alimentari e Forestali, Academy of Finland, Finnish Ministry of Agriculture and Forestry, Federal Ministry of Education and Research (Germany), Department of Agriculture and Water Resources (Australia), University of Melbourne, Grains Research and Development Corporation (Australia), National Institute of Food and Agriculture (US), German Research Foundation, Gorgan University, Asseng, Senthold, Martre, Pierre, Maiorano, Andrea, Rötter, Reimund P., O'Leary, Garry, Fitzgerald, Glenn J., Girousse, Christine, Motzo, Rosella, Giunta, Francesco, Babar, M. Ali, Reynolds, Matthew, Kheir, Ahmed, M .S., Thorburn, Peter, Waha, Katharina, Ruane, Alexander C., Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Challinor, Andrew J., De Sanctis, Giacomo, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Liu, Bing, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Porter, John R., Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Ewert, Frank, International Food Policy Research Institute (US), CGIAR (France), European Commission, Institut National de la Recherche Agronomique (France), National Natural Science Foundation of China, Federal Ministry of Food and Agriculture (Germany), Biotechnology and Biological Sciences Research Council (UK), Innovation Fund Denmark, China Scholarship Council, Ministero delle Politiche Agricole Alimentari e Forestali, Academy of Finland, Finnish Ministry of Agriculture and Forestry, Federal Ministry of Education and Research (Germany), Department of Agriculture and Water Resources (Australia), University of Melbourne, Grains Research and Development Corporation (Australia), National Institute of Food and Agriculture (US), German Research Foundation, Gorgan University, Asseng, Senthold, Martre, Pierre, Maiorano, Andrea, Rötter, Reimund P., O'Leary, Garry, Fitzgerald, Glenn J., Girousse, Christine, Motzo, Rosella, Giunta, Francesco, Babar, M. Ali, Reynolds, Matthew, Kheir, Ahmed, M .S., Thorburn, Peter, Waha, Katharina, Ruane, Alexander C., Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Challinor, Andrew J., De Sanctis, Giacomo, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Liu, Bing, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Porter, John R., Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Ewert, Frank
- Abstract
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
- Published
- 2019
37. The in vitro effects of cytokines on expansion and migration of megakaryocyte progenitors
- Author
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Drayer, A. Lyndsay, Sibinga, Cees T. Smit, Blom, Nel R., de Wolf, Joost T. M., and Vellenga, Edo
- Published
- 2000
38. Global wheat production with 1.5 and 2.0°C above pre‐industrial warming
- Author
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Liu, Bing, primary, Martre, Pierre, additional, Ewert, Frank, additional, Porter, John R., additional, Challinor, Andy J., additional, Müller, Christoph, additional, Ruane, Alex C., additional, Waha, Katharina, additional, Thorburn, Peter J., additional, Aggarwal, Pramod K., additional, Ahmed, Mukhtar, additional, Balkovič, Juraj, additional, Basso, Bruno, additional, Biernath, Christian, additional, Bindi, Marco, additional, Cammarano, Davide, additional, De Sanctis, Giacomo, additional, Dumont, Benjamin, additional, Espadafor, Mónica, additional, Eyshi Rezaei, Ehsan, additional, Ferrise, Roberto, additional, Garcia‐Vila, Margarita, additional, Gayler, Sebastian, additional, Gao, Yujing, additional, Horan, Heidi, additional, Hoogenboom, Gerrit, additional, Izaurralde, Roberto C., additional, Jones, Curtis D., additional, Kassie, Belay T., additional, Kersebaum, Kurt C., additional, Klein, Christian, additional, Koehler, Ann‐Kristin, additional, Maiorano, Andrea, additional, Minoli, Sara, additional, Montesino San Martin, Manuel, additional, Naresh Kumar, Soora, additional, Nendel, Claas, additional, O’Leary, Garry J., additional, Palosuo, Taru, additional, Priesack, Eckart, additional, Ripoche, Dominique, additional, Rötter, Reimund P., additional, Semenov, Mikhail A., additional, Stöckle, Claudio, additional, Streck, Thilo, additional, Supit, Iwan, additional, Tao, Fulu, additional, Van der Velde, Marijn, additional, Wallach, Daniel, additional, Wang, Enli, additional, Webber, Heidi, additional, Wolf, Joost, additional, Xiao, Liujun, additional, Zhang, Zhao, additional, Zhao, Zhigan, additional, Zhu, Yan, additional, and Asseng, Senthold, additional
- Published
- 2019
- Full Text
- View/download PDF
39. Cereal yield gaps across Europe
- Author
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Schils, René, primary, Olesen, Jørgen E., additional, Kersebaum, Kurt-Christian, additional, Rijk, Bert, additional, Oberforster, Michael, additional, Kalyada, Valery, additional, Khitrykau, Maksim, additional, Gobin, Anne, additional, Kirchev, Hristofor, additional, Manolova, Vanya, additional, Manolov, Ivan, additional, Trnka, Mirek, additional, Hlavinka, Petr, additional, Palosuo, Taru, additional, Peltonen-Sainio, Pirjo, additional, Jauhiainen, Lauri, additional, Lorgeou, Josiane, additional, Marrou, Hélène, additional, Danalatos, Nikos, additional, Archontoulis, Sotirios, additional, Fodor, Nándor, additional, Spink, John, additional, Roggero, Pier Paolo, additional, Bassu, Simona, additional, Pulina, Antonio, additional, Seehusen, Till, additional, Uhlen, Anne Kjersti, additional, Żyłowska, Katarzyna, additional, Nieróbca, Anna, additional, Kozyra, Jerzy, additional, Silva, João Vasco, additional, Maçãs, Benvindo Martins, additional, Coutinho, José, additional, Ion, Viorel, additional, Takáč, Jozef, additional, Mínguez, M. Inés, additional, Eckersten, Henrik, additional, Levy, Lilia, additional, Herrera, Juan Manuel, additional, Hiltbrunner, Jürg, additional, Kryvobok, Oleksii, additional, Kryvoshein, Oleksandr, additional, Sylvester-Bradley, Roger, additional, Kindred, Daniel, additional, Topp, Cairistiona F.E., additional, Boogaard, Hendrik, additional, de Groot, Hugo, additional, Lesschen, Jan Peter, additional, van Bussel, Lenny, additional, Wolf, Joost, additional, Zijlstra, Mink, additional, van Loon, Marloes P., additional, and van Ittersum, Martin K., additional
- Published
- 2018
- Full Text
- View/download PDF
40. Is mortality rate what it is all about in congestive heart failure?
- Author
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Girbes, Armand R J and de Wolf, Joost Th M
- Published
- 1995
41. The effect of cyclosporine on haematological parameters in patients with paroxysmal nocturnal haemoglobinuria
- Author
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van Kamp, Harmen, van Imhoff, Gustaaf W., de Wolf, Joost Th. M., Smit, Jan W., Halie, Ruud M., and Vellenga, Edo
- Published
- 1995
42. Global field experiments for potato simulations
- Author
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Raymundo, Rubi, Asseng, Senthold, Prasad, Rishi, Kleinwechter, Ulrich, Condori, Bruno, Bowen, Walter, Wolf, Joost, Olesen, Jørgen E., Dong, Qiaoxue, Zotarelli, Lincoln, Gastelo, Manuel, Alva, Ashok, Travasso, Maria, Arora, Vijay, Raymundo, Rubi, Asseng, Senthold, Prasad, Rishi, Kleinwechter, Ulrich, Condori, Bruno, Bowen, Walter, Wolf, Joost, Olesen, Jørgen E., Dong, Qiaoxue, Zotarelli, Lincoln, Gastelo, Manuel, Alva, Ashok, Travasso, Maria, and Arora, Vijay
- Abstract
A large field potato experimental data set has been assembled for simulation modeling. The data are from temperate, subtropical, and tropical regions across the world and include 87 experiments with 204 treatments. Treatments include nitrogen fertilizer, irrigation, atmospheric CO2 levels, temperature, cultivars, and locations. For all experiments, measurements include tuber fresh and dry weight. For some experiments, measurements include in-season biomass, leaf area index, stem and leaf weight, N uptake, soil water, and soil N contents. Each experiment has soil characteristics and daily data for solar radiation, rainfall, and maximum and minimum temperature. The data have been quality checked and used in a previous simulation exercise. All data are in AGMIP format.
- Published
- 2018
43. The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations
- Author
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Martre, Pierre, Kimball, Bruce A., Ottman, Michael J., Wall, Gerard W., White, Jeffrey W., Asseng, Senthold, Ewert, Frank, Cammarano, Davide, Maiorano, Andrea, Aggarwal, Pramod K., Anothai, Jakarat, Basso, Bruno, Biernath, Christian, Challinor, Andrew J., De Sanctis, Giacomo, Doltra, Jordi, Dumont, Benjamin, Fereres, Elias, Garcia-Vila, Margarita, Gayler, Sebastian, Hoogenboom, Gerrit, Hunt, Leslie A., Izaurralde, Roberto C., Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Koehler, Ann-Kristin, Müller, Christoph, Kumar, Soora Naresh, Liu, Bing, Lobell, David B., Nendel, Claas, O'Leary, Garry, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Rezaei, Ehsan Eyshi, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Waha, Katharina, Wang, Enli, Wolf, Joost, Zhao, Zhigan, Zhu, Yan, Martre, Pierre, Kimball, Bruce A., Ottman, Michael J., Wall, Gerard W., White, Jeffrey W., Asseng, Senthold, Ewert, Frank, Cammarano, Davide, Maiorano, Andrea, Aggarwal, Pramod K., Anothai, Jakarat, Basso, Bruno, Biernath, Christian, Challinor, Andrew J., De Sanctis, Giacomo, Doltra, Jordi, Dumont, Benjamin, Fereres, Elias, Garcia-Vila, Margarita, Gayler, Sebastian, Hoogenboom, Gerrit, Hunt, Leslie A., Izaurralde, Roberto C., Jabloun, Mohamed, Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Koehler, Ann-Kristin, Müller, Christoph, Kumar, Soora Naresh, Liu, Bing, Lobell, David B., Nendel, Claas, O'Leary, Garry, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Rezaei, Ehsan Eyshi, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Waha, Katharina, Wang, Enli, Wolf, Joost, Zhao, Zhigan, and Zhu, Yan
- Abstract
The data set reported here includes the part of a Hot Serial Cereal Experiment (HSC) experiment recently used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat models and quantify their response to temperature. The HSC experiment was conducted in an open-field in a semiarid environment in the southwest USA. The data reported herewith include one hard red spring wheat cultivar (Yecora Rojo) sown approximately every six weeks from December to August for a two-year period for a total of 11 planting dates out of the 15 of the entire HSC experiment. The treatments were chosen to avoid any effect of frost on grain yields. On late fall, winter and early spring plantings temperature free-air controlled enhancement (T-FACE) apparatus utilizing infrared heaters with supplemental irrigation were used to increase air temperature by 1.3°C/2.7°C (day/night) with conditions equivalent to raising air temperature at constant relative humidity (i.e. as expected with global warming) during the whole crop growth cycle. Experimental data include local daily weather data, soil characteristics and initial conditions, detailed crop measurements taken at three growth stages during the growth cycle, and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models.
- Published
- 2018
44. Cereal yield gaps across Europe
- Author
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Schils, René, Olesen, Jørgen E., Kersebaum, Kurt Christian, Rijk, Bert, Oberforster, Michael, Kalyada, Valery, Khitrykau, Maksim, Gobin, Anne, Kirchev, Hristofor, Manolova, Vanya, Manolov, Ivan, Trnka, Mirek, Hlavinka, Petr, Paluoso, Taru, Peltonen-Sainio, Pirjo, Jauhiainen, Lauri, Lorgeou, Josiane, Marrou, Hélène, Danalatos, Nikos, Archontoulis, Sotirios, Fodor, Nándor, Spink, John, Roggero, Pier Paolo, Bassu, Simona, Pulina, Antonio, Seehusen, Till, Uhlen, Anne Kjersti, Żyłowska, Katarzyna, Nieróbca, Anna, Kozyra, Jerzy, Silva, João Vasco, Maçãs, Benvindo Martins, Coutinho, José, Ion, Viorel, Takáč, Jozef, Mínguez, M.I., Eckersten, Henrik, Levy, Lilia, Herrera, Juan Manuel, Hiltbrunner, Jürg, Kryvobok, Oleksii, Kryvoshein, Oleksandr, Boogaard, Hendrik, de Groot, Hugo, Lesschen, Jan Peter, van Bussel, Lenny, Wolf, Joost, Zijlstra, Mink, van Loon, Marloes P., van Ittersum, Martin K., Schils, René, Olesen, Jørgen E., Kersebaum, Kurt Christian, Rijk, Bert, Oberforster, Michael, Kalyada, Valery, Khitrykau, Maksim, Gobin, Anne, Kirchev, Hristofor, Manolova, Vanya, Manolov, Ivan, Trnka, Mirek, Hlavinka, Petr, Paluoso, Taru, Peltonen-Sainio, Pirjo, Jauhiainen, Lauri, Lorgeou, Josiane, Marrou, Hélène, Danalatos, Nikos, Archontoulis, Sotirios, Fodor, Nándor, Spink, John, Roggero, Pier Paolo, Bassu, Simona, Pulina, Antonio, Seehusen, Till, Uhlen, Anne Kjersti, Żyłowska, Katarzyna, Nieróbca, Anna, Kozyra, Jerzy, Silva, João Vasco, Maçãs, Benvindo Martins, Coutinho, José, Ion, Viorel, Takáč, Jozef, Mínguez, M.I., Eckersten, Henrik, Levy, Lilia, Herrera, Juan Manuel, Hiltbrunner, Jürg, Kryvobok, Oleksii, Kryvoshein, Oleksandr, Boogaard, Hendrik, de Groot, Hugo, Lesschen, Jan Peter, van Bussel, Lenny, Wolf, Joost, Zijlstra, Mink, van Loon, Marloes P., and van Ittersum, Martin K.
- Abstract
Europe accounts for around 20% of the global cereal production and is a net exporter of ca. 15% of that production. Increasing global demand for cereals justifies questions as to where and by how much Europe's production can be increased to meet future global market demands, and how much additional nitrogen (N) crops would require. The latter is important as environmental concern and legislation are equally important as production aims in Europe. Here, we used a country-by-country, bottom-up approach to establish statistical estimates of actual grain yield, and compare these to modelled estimates of potential yields for either irrigated or rainfed conditions. In this way, we identified the yield gaps and the opportunities for increased cereal production for wheat, barley and maize, which represent 90% of the cereals grown in Europe. The combined mean annual yield gap of wheat, barley, maize was 239 Mt, or 42% of the yield potential. The national yield gaps ranged between 10 and 70%, with small gaps in many north-western European countries, and large gaps in eastern and south-western Europe. Yield gaps for rainfed and irrigated maize were consistently lower than those of wheat and barley. If the yield gaps of maize, wheat and barley would be reduced from 42% to 20% of potential yields, this would increase annual cereal production by 128 Mt (39%). Potential for higher cereal production exists predominantly in Eastern Europe, and half of Europe's potential increase is located in Ukraine, Romania and Poland. Unlocking the identified potential for production growth requires a substantial increase of the crop N uptake of 4.8 Mt. Across Europe, the average N uptake gaps, to achieve 80% of the yield potential, were 87, 77 and 43 kg N ha−1 for wheat, barley and maize, respectively. Emphasis on increasing the N use efficiency is necessary to minimize the need for additional N inputs. Whether yield gap reduction is desirable and feasible is a matter of balancing Europe's role
- Published
- 2018
45. Climate change impact on global potato production
- Author
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Raymundo, Rubí; Asseng, Senthold; Robertson, Richard D.; Petsakos, Athanasios; Hoogenboom, Gerrit; Quiroz, Roberto; Hareau, Guy; Wolf, Joost, http://orcid.org/0000-0001-5741-3867 Robertson, Richard, Raymundo, Rubí; Asseng, Senthold; Robertson, Richard D.; Petsakos, Athanasios; Hoogenboom, Gerrit; Quiroz, Roberto; Hareau, Guy; Wolf, Joost, and http://orcid.org/0000-0001-5741-3867 Robertson, Richard
- Abstract
PR, IFPRI3; ISI; CRP2; A Ensuring Sustainable food production; D Transforming Agriculture; E Building Resilience, EPTD; PIM, CGIAR Research Program on Policies, Institutions, and Markets (PIM)
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- 2018
46. Mitochondrial disruption and limited apoptosis of erythroblasts are associated with high risk myelodysplasia. An ultrastructural analysis
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van de Loosdrecht, Arjan A., Brada, Simo J.L., Blom, Nel R., Hendriks, Dick W., Smit, Jan W., van den Berg, Eva, de Wolf, Joost Th.M., and Vellenga, Edo
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- 2001
- Full Text
- View/download PDF
47. Yield gaps of cereals across Europe
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Schils, René, Kersebaum, Kurt Christian, Mizak, Katarzyna, Nieróbca, Anna, Rijk, Bert, Nunes da Silva, Joao, Mínguez, Inés, Castaneda Vera, Alba, Olesen, Jørgen, Sharif, Behzad, Kolotii, Andrii, Adamenko, Tetiana, Kryvobok, Oleksii, Kryvoshein, Oleksandr, Kussul, Nataliia, Martins Maçãs, Benvindo, Prates Coutinho, José Norberto, Trnka, Miroslav, Hlavinka, Petr, Lorgeou, Josiane, Marrou, Helene, Ion, Viorel, Bășa, Adrian, Eckersten, Henrik, Palosuo, Taru, Peltonen-Sainio, Pirjo, Spink, John, Lynch, Joseph, Silvester-Bradley, Roger, Bingham, Ian, Kindred, Daniel, Topp, Kairsty, Fodor, Nándor, Takac, Jozef, Kirchev, Hristofor, Manolova, Vanya, Manolov, Ivan, Danalatos, Nikos, Archontoulis, Sotirios, Kalyada, Valery, Gobin, Anne, Roggero, Pier Paolo, Bassu, Simona, Oberforster, Michael, Levy, Lilia, Pellet, Didier, Hiltbrunner, Jürg, Seehusen, Till, Uhlen, Anne Kjersti, Boogaard, Hendrik, de Groot, Hugo, Wolf, Joost, van Bussel, Lenny, and van Ittersum, Martin
- Abstract
The increasing global demand for food requires a sustainable intensification of crop production in low-yielding areas. Actions to improve crop production in these regions call for accurate spatially explicit identification of yield gaps, i.e. the difference between potential or water-limited yield and actual yield. The Global Yield Gap Atlas (GYGA) project proposes a consistent bottom-up approach to estimate yield gaps. For each country, a climate zonation is overlaid with a crop area map. Within climate zones with important crop areas, weather stations are selected with at least 10 years of daily data. For each of the 3 dominant soil types within a 100 km zone around the weather stations, the potential and water-limited yields are simulated with the WOFOST crop model, using location-specific knowledge on crop systems. Data from variety trials or other experiments, approaching potential or water-limited yields, are used for validation and calibration of the model. Actual yields are taken from sub-national statistics. Yields and yield gaps are scaled up to climate zones and subsequently to countries. The average national simulated wheat yields under rainfed conditions varied from around 5 to 6 t/ha/year in the Mediterranean to nearly 12 t/ha/year on the British Isles and in the Low Countries. The average actual wheat yield varied from around 2 to 3 t/ha/year in the Mediterranean and some countries in East Europe to nearly 9 t/ha/year on the British Isles and in the Low Countries. The average relative yield gaps varied from around 10% to 30% in many countries in Northwest Europe to around 50% to 70% in some countries in the Mediterranean and East Europe. The paper will elaborate on results per climate zone and soil type, and will also include barley and maize. Furthermore we will relate yield gaps to nitrogen use.
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- 2017
48. Online maps of Yield Gaps of cereals across Europe: Modelling European Agriculture with Climate Change for Food Security (MACSUR)2017 Scientific Conference, 22-24 May, 2017 in Berlin
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Schils, René, Kersebaum, Kurt Christian, Mizak, Katarzyna, Nieróbca, Anna, Rijk, Bert, Nunes da Silva, Joao, Mínguez, Inés, Castaneda Vera, Alba, Olesen, Jørgen, Sharif, Behzad, Kolotii, Andrii, Adamenko, Tetiana, Kryvobok, Oleksii, Kryvoshein, Oleksandr, Kussul, Nataliia, Martins Maçãs, Benvindo, Prates Coutinho, José Norberto, Trnka, Miroslav, Hlavinka, Petr, Lorgeou, Josiane, Marrou, Helene, Ion, Viorel, Bășa, Adrian, Eckersten, Henrik, Palosuo, Taru, Peltonen-Sainio, Pirjo, Spink, John, Lynch, Joseph, Silvester-Bradley, Roger, Bingham, Ian, Kindred, Daniel, Topp, Kairsty, Fodor, Nándor, Takac, Jozef, Kirchev, Hristofor, Manolova, Vanya, Manolov, Ivan, Danalatos, Nikos, Archontoulis, Sotirios, Kalyada, Valery, Gobin, Anne, Roggero, Pier Paolo, Bassu, Simona, Oberforster, Michael, Levy, Lilia, Pellet, Didier, Hiltbrunner, Jürg, Seehusen, Till, Uhlen, Anne Kjersti, Boogaard, Hendrik, de Groot, Hugo, Wolf, Joost, van Bussel, Lenny, and van Ittersum, Martin
- Subjects
Climate Change ,Joint Programming Initiative ,Agriculture ,Food Security ,crop modelling - Abstract
The yield gap and water productivity analysis of key cereal crops in Europe is completed and results are available through www.yieldgap.org
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- 2017
- Full Text
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49. Rooting for food security in Sub-Saharan Africa
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Guilpart, Nicolas, Grassini, Patricio, van Wart, Justin, Yang, Haishun, Van Ittersum, Martin Klass, van Bussel, Lenny G. J., Wolf, Joost, Claessens, Lieven, Leenaars, Johan G. B., Cassman, Kenneth G., Agronomie, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, University of Nebraska [Lincoln], University of Nebraska System, Plant Production Systems, Wageningen University and Research [Wageningen] (WUR), Environmental Systems Analysis Group, International Crops Research Institute for the Semi-Arid Tropics [Inde] (ICRISAT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), International Institute of Tropical Agriculture, Soil Geography and Landscape Group, World Soil Information (ISRIC), Bill and Melinda Gates Foundation, and Daugherty Water for Food Global Institute at University of Nebraska-Lincoln (UNL)
- Subjects
yield gap ,[SDV]Life Sciences [q-bio] ,soil depth ,sub-saharan Africa ,food security ,water requirements ,PE&RC ,maize ,Bodemgeografie en Landschap ,Environmental Systems Analysis ,Plant Production Systems ,Plantaardige Productiesystemen ,Milieusysteemanalyse ,[SDE]Environmental Sciences ,Soil Geography and Landscape ,ISRIC - World Soil Information - Abstract
International audience; There is a persistent narrative about the potential of Sub-Saharan Africa (SSA) to be a 'grain breadbasket' because of large gaps between current low yields and yield potential with good management, and vast land resources with adequate rainfall. However, rigorous evaluation of the extent to which soils can support high, stable yields has been limited by lack of data on rootable soil depth of sufficient quality and spatial resolution. Here we use location-specific climate data, a robust spatial upscaling approach, and crop simulation to assess sensitivity of rainfed maize yields to root-zone water holding capacity. We find that SSA could produce a modest maize surplus but only if rootable soil depths are comparable to that of other major breadbaskets, such as the US Corn Belt and South American Pampas, which is unlikely based on currently available information. Otherwise, producing surplus grain for export will depend on expansion of crop area with the challenge of directing this expansion to regions where soil depth and rainfall are supportive of high and consistent yields, and where negative impacts on biodiversity are minimal.
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- 2017
50. Yield gaps of cereals across Europe: Modelling European Agriculture with Climate Change for Food Security (MACSUR)2017 Scientific Conference, 22-24 May, 2017 in Berlin
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Peltonen-Sainio, Pirjo, Sharif, Behzad, Trnka, Miroslav, Nunes Da Silva, Joao, Seehusen, Till, Boogaard, Hendrik, Roggero, Pier Paolo, Martins Maçãs, Benvindo, Kryvoshein, Oleksandr, Takac, Jozef, Archontoulis, Sotirios, Oberforster, Michael, Hlavinka, Petr, Kindred, Daniel, Manolov, Ivan, Schils, René, Hiltbrunner, Jürg, Kussul, Nataliia, Bassu, Simona, Kolotii, Andrii, Kersebaum, Kurt Christian, Pellet, Didier, Palosuo, Taru, Eckersten, Henrik, Fodor, Nándor, Castaneda Vera, Alba, Mínguez, Inés, Rijk, Bert, Manolova, Vanya, Silvester-Bradley, Roger, Lynch, Joseph, Van Ittersum, Martin, Bășa, Adrian, Gobin, Anne, Prates Coutinho, José Norberto, Levy, Lilia, Lorgeou, Josiane, De Groot, Hugo, Ion, Viorel, Uhlen, Anne Kjersti, Nieróbca, Anna, Topp, Kairsty, Adamenko, Tetiana, Van Bussel, Lenny, Marrou, Helene, Olesen, Jørgen, Kalyada, Valery, Bingham, Ian, Mizak, Katarzyna, Kirchev, Hristofor, Spink, John, Kryvobok, Oleksii, Wolf, Joost, and Danalatos, Nikos
- Published
- 2017
- Full Text
- View/download PDF
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