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Author |
Gabaldón Leal, C. |
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Title |
Response of maize and olive to climate change under the semi-arid conditions of Southern Spain |
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Year |
2016 |
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Thesis |
Ph.D. thesis |
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Publisher |
Universidad Politécnica de Madrid |
Place of Publication |
Madrid |
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PhD |
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PhD |
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no |
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MA @ admin @ |
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5163 |
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Author |
Kondracka, K. |
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Title |
The effect of combined drought and heat stress on growth, photosythetic activity and water relationship of spring wheat (Triticum aestivum L. cv. Łagwa) |
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Book Whole |
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Year |
2016 |
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Ph.D. thesis |
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Institute of Agrophysics of the Polish Academy of Sciences |
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PhD |
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PhD |
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CropM |
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no |
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Call Number |
MA @ admin @ |
Serial |
5164 |
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Author |
Iocola, I. |
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Title |
Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network |
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Book Whole |
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Year |
2017 |
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Ph.D. thesis |
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Publisher |
University of Sassari |
Place of Publication |
Sassari |
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CropM |
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no |
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Call Number |
MA @ admin @ |
Serial |
5166 |
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Author |
Francioni, M. |
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Title |
Soil CO2 emissions and C stock as ecosystem services: a comparison between transhumant and conventional farming systems |
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Book Whole |
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Year |
2017 |
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Ph.D. thesis |
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Publisher |
Università Politecnica delle Marche |
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LiveM |
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no |
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Call Number |
MA @ admin @ |
Serial |
5167 |
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Author |
Wang, E.; Martre, P.; Zhao, Z.; Ewert, F.; Maiorano, A.; Rötter, R.P.; Kimball, B.A.; Ottman, M.J.; Wall, G.W.; White, J.W.; Reynolds, M.P.; Alderman, P.D.; Aggarwal, P.K.; Anothai, J.; Basso, B.; Biernath, C.; Cammarano, D.; Challinor, A.J.; De Sanctis, G.; Doltra, J.; Fereres, E.; Garcia-Vila, M.; Gayler, S.; Hoogenboom, G.; Hunt, L.A.; Izaurralde, R.C.; Jabloun, M.; Jones, C.D.; Kersebaum, K.C.; Koehler, A.-K.; Liu, L.; Müller, C.; Naresh Kumar, S.; Nendel, C.; O’Leary, G.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Eyshi Rezaei, E.; Ripoche, D.; Ruane, A.C.; Semenov, M.A.; Shcherbak, I.; Stöckle, C.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Thorburn, P.; Waha, K.; Wallach, D.; Wang, Z.; Wolf, J.; Zhu, Y.; Asseng, S. |
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Title |
The uncertainty of crop yield projections is reduced by improved temperature response functions |
Type |
Journal Article |
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Year |
2017 |
Publication |
Nature Plants |
Abbreviated Journal |
Nature Plants |
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Volume |
3 |
Issue |
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Pages |
17102 |
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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 >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. Erratum: doi: 10.1038/nplants.2017.125 |
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2017-08-28 |
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CropM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
5173 |
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