在田间条件下,使用贝叶斯状态空间模型,揭示环境因素对大米中积累的影响
Kochi Ishito1,2, Ikuko Akahane1, Shigeki Kishi2
1Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan.
Scientific reports
|December 26, 2025
概括
洪水持续时间显著增加了 (As) 在大米植物和谷物中的积累. 温度和蒸发等环境因素也会影响As水平,为减少通过饮食暴露的策略提供信息.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 食品安全 食品安全
背景情况:
- 在全球范围内,大米 (Oryza sativa L.) 是人类 (As) 的主要饮食来源.
- 了解大米中的积累对于减轻人类健康风险至关重要.
- 关于大米积累对环境影响的特定现场数据有限.
研究的目的:
- 模拟大米植物和谷物中积累的时间动态.
- 在田间条件下量化关键环境因素对大米中吸收的影响.
- 为制定种植指南提供信息,以减少通过大米接触的风险.
主要方法:
- 利用贝叶斯状态空间模型 (SSM) 来分析时间动态.
- 模拟了旗叶和大米粒中的As度作为响应变量.
- 纳入环境因素 (洪水日,温度,蒸发,降水) 和生理因素作为解释变量.
主要成果:
- 洪水持续时间对积累产生了最显著的积极影响,在标题后5-10天达到峰值.
- 高温和作物蒸发转化增加促进了的积累.
- 增加降水量被发现可以减少大米中的积累.
结论:
- 这项研究提供了对环境因素对田间条件下的积水积累的影响的定量见解.
- 研究结果强调了水资源管理,特别是洪水持续时间在控制吸收方面发挥的关键作用.
- 结果支持开发有针对性的,特定于区域的农业实践,以尽量减少来自大米的食暴露.
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