Gabaldón Leal, C. (2016). Response of maize and olive to climate change under the semi-arid conditions of Southern Spain. PhD, PhD. Ph.D. thesis, Universidad Politécnica de Madrid, Madrid.
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Kondracka, K. (2016). The effect of combined drought and heat stress on growth, photosythetic activity and water relationship of spring wheat (Triticum aestivum L. cv. Łagwa). PhD, PhD. Ph.D. thesis, Institute of Agrophysics of the Polish Academy of Sciences, .
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Iocola, I. (2017). Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network. PhD. Ph.D. thesis, University of Sassari, Sassari.
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Francioni, M. (2017). Soil CO2 emissions and C stock as ecosystem services: a comparison between transhumant and conventional farming systems. PhD. Ph.D. thesis, Università Politecnica delle Marche, .
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Wang, E., Martre, P., Zhao, Z., Ewert, F., Maiorano, A., Rötter, R. P., et al. (2017). The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature Plants, 3, 17102.
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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