RIKILT Wageningen UR (Wageningen University and Research Centre), Wageningen, the Netherlands.
PLoS One. 2013 Sep 16;8(9):e73602. doi: 10.1371/journal.pone.0073602. eCollection 2013.
Climate change is expected to aggravate feed and food safety problems of crops; however, quantitative estimates are scarce. This study aimed to estimate impacts of climate change effects on deoxynivalenol contamination of wheat and maize grown in the Netherlands by 2040. Quantitative modelling was applied, considering both direct effects of changing climate on toxin contamination and indirect effects via shifts in crop phenology. Climate change projections for the IPCC A1B emission scenario were used for the scenario period 2031-2050 relative to the baseline period of 1975-1994. Climatic data from two different global and regional climate model combinations were used. A weather generator was applied for downscaling climate data to local conditions. Crop phenology models and prediction models for DON contamination used, each for winter wheat and grain maize. Results showed that flowering and full maturity of both wheat and maize will advance with future climate. Flowering advanced on average 5 and 11 days for wheat, and 7 and 14 days for maize (two climate model combinations). Full maturity was on average 10 and 17 days earlier for wheat, and 19 and 36 days earlier for maize. On the country level, contamination of wheat with deoxynivalenol decreased slightly, but not significantly. Variability between regions was large, and individual regions showed a significant increase in deoxynivalenol concentrations. For maize, an overall decrease in deoxynivalenol contamination was projected, which was significant for one climate model combination, but not significant for the other one. In general, results disagree with previous reported expectations of increased feed and food safety hazards under climate change. This study illustrated the relevance of using quantitative models to estimate the impacts of climate change effects on food safety, and of considering both direct and indirect effects when assessing climate change impacts on crops and related food safety hazards.
预计气候变化将加剧农作物的饲料和食品安全问题,但定量估计却很少。本研究旨在估计到 2040 年,气候变化对荷兰种植的小麦和玉米中脱氧雪腐镰刀菌烯醇污染的影响。考虑到气候变化对毒素污染的直接影响以及通过作物物候变化的间接影响,应用了定量建模。使用了 IPCC A1B 排放情景下的气候变化预测,用于相对于 1975-1994 年基线期的 2031-2050 年情景期。使用了两种不同的全球和区域气候模型组合的气候数据。应用天气发生器将气候数据缩小到当地条件。使用了每个冬季小麦和谷物玉米的物候模型和 DON 污染预测模型。结果表明,未来气候下,小麦和玉米的开花和完全成熟都将提前。小麦的开花平均提前了 5 天和 11 天,玉米则提前了 7 天和 14 天(两种气候模型组合)。小麦的完全成熟平均提前了 10 天和 17 天,玉米则提前了 19 天和 36 天。在国家层面上,小麦脱氧雪腐镰刀菌烯醇的污染略有下降,但并不显著。地区间的变异性很大,个别地区脱氧雪腐镰刀菌烯醇浓度显著增加。对于玉米,预计总体脱氧雪腐镰刀菌烯醇污染减少,一种气候模型组合的结果显著,但另一种不显著。总的来说,结果与之前报道的气候变化下增加饲料和食品安全危害的预期不一致。本研究说明了使用定量模型估计气候变化对食品安全的影响以及在评估气候变化对作物和相关食品安全危害的影响时同时考虑直接和间接影响的重要性。