Suppr超能文献

适应气候变化情景下韩国小麦赤霉病的预测流行情况。

Adapting to the projected epidemics of Fusarium head blight of wheat in Korea under climate change scenarios.

作者信息

Jung Jin-Yong, Kim Jin-Hee, Baek Minju, Cho Chuloh, Cho Jaepil, Kim Junhwan, Pavan Willingthon, Kim Kwang-Hyung

机构信息

Department of Agricultural Biotechnology, Seoul National University, Seoul, South Korea.

National Center for Agro-Meteorology, Seoul National University, Seoul, South Korea.

出版信息

Front Plant Sci. 2022 Dec 9;13:1040752. doi: 10.3389/fpls.2022.1040752. eCollection 2022.

Abstract

Fusarium head blight (FHB) of wheat, mainly caused by Schwabe, is an emerging threat to wheat production in Korea under a changing climate. The disease occurrence and accumulation of associated trichothecene mycotoxins in wheat kernels strongly coincide with warm and wet environments during flowering. Recently, the International Panel for Climate Change released the 6th Coupled Model Intercomparison Project (CMIP6) climate change scenarios with shared socioeconomic pathways (SSPs). In this study, we adopted GIBSIM, an existing mechanistic model developed in Brazil to estimate the risk infection index of wheat FHB, to simulate the potential FHB epidemics in Korea using the SSP245 and SSP585 scenarios of CMIP6. The GIBSIM model simulates FHB infection risk from airborne inoculum density and infection frequency using temperature, precipitation, and relative humidity during the flowering period. First, wheat heading dates, during which GIBSIM runs, were predicted over suitable areas of winter wheat cultivation using a crop development rate model for wheat phenology and downscaled SSP scenarios. Second, an integrated model combining all results of wheat suitability, heading dates, and FHB infection risks from the SSP scenarios showed a gradual increase in FHB epidemics towards 2100, with different temporal and spatial patterns of varying magnitudes depending on the scenarios. These results indicate that proactive management strategies need to be seriously considered in the near future to minimize the potential impacts of the FHB epidemic under climate change in Korea. Therefore, available wheat cultivars with early or late heading dates were used in the model simulations as a realistic adaptation measure. As a result, wheat cultivars with early heading dates showed significant decreases in FHB epidemics in future periods, emphasizing the importance of effective adaptation measures against the projected increase in FHB epidemics in Korea under climate change.

摘要

小麦赤霉病(FHB)主要由施瓦贝菌引起,在气候变化的背景下,对韩国的小麦生产构成了新的威胁。该病的发生以及小麦籽粒中相关单端孢霉烯族毒素的积累与开花期温暖潮湿的环境密切相关。最近,国际气候变化专门委员会发布了第六次耦合模式比较计划(CMIP6)的气候变化情景以及共享社会经济路径(SSP)。在本研究中,我们采用了巴西开发的现有机理模型GIBSIM来估计小麦赤霉病的风险感染指数,以利用CMIP6的SSP245和SSP585情景模拟韩国小麦赤霉病的潜在流行情况。GIBSIM模型利用开花期的温度、降水量和相对湿度,根据空气中接种体密度和感染频率模拟赤霉病感染风险。首先,利用小麦物候期作物发育速率模型和降尺度后的SSP情景,预测了GIBSIM运行期间冬小麦适宜种植区的小麦抽穗期。其次,一个综合模型结合了小麦适宜性、抽穗期以及SSP情景下赤霉病感染风险的所有结果,结果显示到2100年赤霉病流行情况将逐渐增加,根据不同情景,其时间和空间模式的变化幅度各不相同。这些结果表明,在不久的将来需要认真考虑积极的管理策略,以尽量减少气候变化下韩国赤霉病流行的潜在影响。因此,在模型模拟中使用了抽穗期早或晚的现有小麦品种作为一种切实可行的适应措施。结果,抽穗期早的小麦品种在未来时期赤霉病流行情况显著降低,这突出了针对韩国气候变化下预计赤霉病流行增加采取有效适应措施的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e05/9793406/5bbe8c15ad2f/fpls-13-1040752-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验