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利用时空建模和未来气候模拟技术预测美国佐治亚州南部玉米未来的黄曲霉毒素污染风险情景。

Determining future aflatoxin contamination risk scenarios for corn in Southern Georgia, USA using spatio-temporal modelling and future climate simulations.

机构信息

Department of Geography, Brigham Young University, Provo, UT, USA.

Facultad de Ingeniería, Universidad de Talca, Talca, Chile.

出版信息

Sci Rep. 2021 Jun 29;11(1):13522. doi: 10.1038/s41598-021-92557-6.

Abstract

Aflatoxins (AFs) are produced by fungi in crops and can cause liver cancer. Permitted levels are legislated and batches of grain are rejected based on average concentrations. Corn grown in Southern Georgia (GA), USA, which experiences drought during the mid-silk growth period in June, is particularly susceptible to infection by Aspergillus section Flavi species which produce AFs. Previous studies showed strong association between AFs and June weather. Risk factors were developed: June maximum temperatures > 33 °C and June rainfall < 50 mm, the 30-year normals for the region. Future climate data were estimated for each year (2000-2100) and county in southern GA using the RCP 4.5 and RCP 8.5 emissions scenarios. The number of counties with June maximum temperatures > 33 °C and rainfall < 50 mm increased and then plateaued for both emissions scenarios. The percentage of years thresholds were exceeded was greater for RCP 8.5 than RCP 4.5. The spatial distribution of high-risk counties changed over time. Results suggest corn growth distribution should be changed or adaptation strategies employed like planting resistant varieties, irrigating and planting earlier. There were significantly more counties exceeding thresholds in 2010-2040 compared to 2000-2030 suggesting that adaptation strategies should be employed as soon as possible.

摘要

黄曲霉毒素(AFs)是由农作物中的真菌产生的,可导致肝癌。允许的水平由法律规定,并根据平均浓度拒绝谷物批次。美国佐治亚州南部(GA)的玉米在 6 月中旬丝生长期间经历干旱,特别容易受到产生 AFs 的黄曲霉属 Flavi 种的感染。先前的研究表明,AFs 与 6 月的天气之间存在很强的关联。确定了风险因素:6 月最高温度>33°C,6 月降雨量<50mm,该地区 30 年的正常值。使用 RCP 4.5 和 RCP 8.5 排放情景,估计了佐治亚州南部每个县和每年(2000-2100 年)的未来气候数据。对于这两种排放情景,6 月最高温度>33°C 和降雨量<50mm 的县的数量增加,然后趋于平稳。超过阈值的年份百分比对于 RCP 8.5 来说大于 RCP 4.5。高风险县的空间分布随时间而变化。结果表明,应改变玉米的生长分布或采用适应策略,例如种植抗性品种、灌溉和提前种植。与 2000-2030 年相比,2010-2040 年超过阈值的县明显更多,这表明应尽快采取适应策略。

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