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Gabaldón-Leal, C.; Webber, H.; Otegui, M.E.; Slafer, G.A.; Ordonez, R.A.; Gaiser, T.; Lorite, I.J.; Ruiz-Ramos, M.; Ewert, F. |
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Title |
Modelling the impact of heat stress on maize yield formation |
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Journal Article |
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Year |
2016 |
Publication |
Field Crops Research |
Abbreviated Journal |
Field Crops Research |
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Volume |
198 |
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Pages |
226-237 |
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Keywords |
Heat stress; Maize; Zea mays (L); Crop models; HIGH-TEMPERATURE STRESS; KERNEL NUMBER; CROP GROWTH; GRAIN-YIELD; SIMULATION; CLIMATE; HYBRIDS; SET; VALIDATION; COMPONENTS |
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Abstract |
The frequency and intensity of extreme high temperature events are expected to increase with climate change. Higher temperatures near anthesis have a large negative effect on maize (Zea mays, L.) grain yield. While crop growth models are commonly used to assess climate change impacts on maize and other crops, it is only recently that they have accounted for such heat stress effects, despite limited field data availability for model evaluation. There is also increasing awareness but limited testing of the importance of canopy temperature as compared to air temperature for heat stress impact simulations. In this study, four independent irrigated field trials with controlled heating imposed using polyethylene shelters were used to develop and evaluate a heat stress response function in the crop modeling framework SIMPLACE, in which the Lintul5 crop model was combined with a canopy temperature model. A dataset from Argentina with the temperate hybrid Nidera AX 842 MG (RM 119) was used to develop a yield reduction function based on accumulated hourly stress thermal time above a critical temperature of 34 degrees C. A second dataset from Spain with a FAO 700 cultivar was used to evaluate the model with daily weather inputs in two sets of simulations. The first was used to calibrate SIMPLACE for conditions with no heat stress, and the second was used to evaluate SIMPLACE under conditions of heat stress using the reduction factor obtained with the Argentine dataset. Both sets of simulations were conducted twice; with the heat stress function alternatively driven with air and simulated canopy temperature. Grain yield simulated under heat stress conditions improved when canopy temperature was used instead of air temperature (RMSE equal to 175 and 309 g m(-2), respectively). For the irrigated and high radiative conditions, raising the critical threshold temperature for heat stress to 39 degrees C improved yield simulation using air temperature (RMSE: 221 gm(-2)) without the need to simulate canopy temperature (RMSE: 175 gm(-2)). However, this approach of adjusting thresholds is only likely to work in environments where climatic variables and the level of soil water deficit are constant, such as irrigated conditions and are not appropriate for rainfed production conditions. (C) 2016 Elsevier B.V. All rights reserved. |
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2016-11-17 |
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English |
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0378-4290, 1872-6852 |
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ft_macsur, CropM |
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no |
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Call Number |
MA @ admin @ |
Serial |
4880 |
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Author |
Mínguez, M.I. |
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Title |
Agriculture in Spain and the climate change issue |
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Report |
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Year |
2016 |
Publication |
Watch Letter |
Abbreviated Journal |
Watch Lett. |
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Volume |
37 |
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Keywords |
ftnotmacsur |
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Abstract |
Climate change awareness is pushing research and innovation in agriculture. Studies are booming on phenology and heat stress physiology – in parallel with improvement of their simulation in crop models- water use, irrigation requirements and improvement – be it deficit, strategic or precision irrigation-, cereal grain quality, and pest and disease evolution; large international and European research projects are working on these and mapping new areas for cultivation or species/cultivar changes. |
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International Center for Advanced Mediterranean Agronomic Studies CIHEAM |
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MA @ admin @ |
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4881 |
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Author |
Köchy, M. |
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Title |
MACSUR?3! The future of MACSUR |
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Conference Article |
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2016 |
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Potsdam (Germany) |
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LiveM 2016 conference: Modelling Grassland-Livestock Systems under Climate Change, 2016-06-15 to 2016-06-16, Potsdam, Germany |
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MA @ admin @ |
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4882 |
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Author |
Köchy, M. |
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Title |
Progress in Cross-cutting activities in FACCE MACSUR |
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Conference Article |
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2016 |
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Gardermoen (Norway) |
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FACCE MACSUR XC Workshop 2016, 2016-10-13, Gardermoen, Norway |
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MA @ admin @ |
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4883 |
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Author |
Köchy, M. |
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Title |
MACSUR – Modelling European Agriculture with Climate Change for Food Security |
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Conference Article |
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2016 |
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Bonn (Germany) |
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FACCE Cluster 2 Workshop “Support by policy and research for adaptation to climate change in farming systems and food-related industries”, 2016-10-19 to 2016-10-20, Bonn, Germany |
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MA @ admin @ |
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4884 |
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