Records |
Author |
Manevski, K.; Børgesen, D.; Andersen, N.; Olesen, J.E. |
Title |
Maize production and nitrogen dynamics under current and warmer climate in Denmark: simulations with the DAISY model |
Type |
Conference Article |
Year |
2014 |
Publication |
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Issue |
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Pages |
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Keywords |
CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
Notes |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2624 |
Permanent link to this record |
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Author |
Mansouri, M. |
Title |
Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods |
Type |
Book Chapter |
Year |
2013 |
Publication |
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Volume |
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Issue |
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Pages |
112-137 |
Keywords |
CropM |
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Publisher |
IGI Global |
Place of Publication |
Hershey PA |
Editor |
Masegosa, P.; Villacorta, C.; Cruz-Corona, S.; Garcia-Cascales, M.; Lamata, J.; Verdegay, A. |
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Exploring Innovative and Successful Applications of Soft Computing |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2625 |
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Author |
Maggio, A.; De Pascale, S.; Orsini, F.; Barbieri, G. |
Title |
Addressing cultivation practices and nutritional quality of tomato crops to improve the sustainability of organic farming systems |
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Manuscript |
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CropM |
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no |
Call Number |
MA @ admin @ |
Serial |
2620 |
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Author |
Maiorano, A.; Martre, P.; Asseng, S.; Ewert, F.; Müller, C.; Rötter, R.P.; Ruane, A.C.; Semenov, M.A.; Wallach, D.; Wang, E.; Alderman, P.D.; Kassie, B.T.; Biernath, C.; Basso, B.; Cammarano, D.; Challinor, A.J.; Doltra, J.; Dumont, B.; Rezaei, E.E.; Gayler, S.; Kersebaum, K.C.; Kimball, B.A.; Koehler, A.-K.; Liu, B.; O’Leary, G.J.; Olesen, J.E.; Ottman, M.J.; Priesack, E.; Reynolds, M.; Stratonovitch, P.; Streck, T.; Thorburn, P.J.; Waha, K.; Wall, G.W.; White, J.W.; Zhao, Z.; Zhu, Y. |
Title |
Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles |
Type |
Journal Article |
Year |
2016 |
Publication |
Field Crops Research |
Abbreviated Journal |
Field Crops Research |
Volume |
202 |
Issue |
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Pages |
5-20 |
Keywords |
Impact uncertainty; High temperature; Model improvement; Multi-model ensemble; Wheat crop model |
Abstract |
To improve climate change impact estimates and to quantify their uncertainty, multi-model ensembles (MMEs) have been suggested. Model improvements can improve the accuracy of simulations and reduce the uncertainty of climate change impact assessments. Furthermore, they can reduce the number of models needed in a MME. Herein, 15 wheat growth models of a larger MME were improved through re-parameterization and/or incorporating or modifying heat stress effects on phenology, leaf growth and senescence, biomass growth, and grain number and size using detailed field experimental data from the USDA Hot Serial Cereal experiment (calibration data set). Simulation results from before and after model improvement were then evaluated with independent field experiments from a CIMMYT world-wide field trial network (evaluation data set). Model improvements decreased the variation (10th to 90th model ensemble percentile range) of grain yields simulated by the MME on average by 39% in the calibration data set and by 26% in the independent evaluation data set for crops grown in mean seasonal temperatures >24 °C. MME mean squared error in simulating grain yield decreased by 37%. A reduction in MME uncertainty range by 27% increased MME prediction skills by 47%. Results suggest that the mean level of variation observed in field experiments and used as a benchmark can be reached with half the number of models in the MME. Improving crop models is therefore important to increase the certainty of model-based impact assessments and allow more practical, i.e. smaller MMEs to be used effectively. |
Address |
2016-09-13 |
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Newsletter July 2016 |
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0378-4290 |
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Article |
Area |
CropM |
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Notes |
CropMwp;wos; ft=macsur; wsnot_yet; |
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no |
Call Number |
MA @ admin @ |
Serial |
4776 |
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Author |
Lazar, C. |
Title |
Modelling of crop growth and development as an instrument for analysis of orientations in agricultural research in the context of climate changes (context and opinions) In Romanian: Modelarea cresterii si dezvoltarii plantelor de cultura ca instrument de analiza a directiilor de cercetare agricola în contextul schimbarilor climatic) |
Type |
Conference Article |
Year |
2012 |
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CropM |
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Workshop on climate change organized by Romanian Academy of Sciences (Bucharest, Romania), 2012-11-23 to 2012-11-23 |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2587 |
Permanent link to this record |