重金属污染对农作物胁迫效应日趋严重，造成植物毒害效应、代谢过程紊乱、生长发育伤害，乃至植株死亡，大大制约了农作物高产、优质、高效、生态、安全生产和可持续发展。本项目围绕重金属胁迫下水稻生长生理响应特性，提出水稻“根-茎-叶”三位一体化研究策略，系统地研究镉、铬、铜三种重金属在水稻根部吸收、茎部运移和叶面分布规律，探明重金属对水稻根系形态变化、茎杆发育特性和叶片生理调控的胁迫响应机理；应用高光谱成像、显微成像和激光诱导击穿光谱（LIBS）等技术，建立胁迫下水稻根系形态微结构和重金属吸收互作机理及快速检测方法、茎杆发育生态和重金属运移规律及快速测定模型、叶片生理参量和重金属分布调控机理及可视化方法，实现水稻重金属元素和逆境生理参量的快速检测，对作物逆境的动态监测、及时有效的防治与修复和精准化管理决策，保障作物产量和品质安全具有重要意义。

Heavy metal pollution and stress are expanding rapidly, which causes plant toxic effect, metabolism disorder, growth damage and even the plant death. These factors restrict the high-yield, high-quality, efficient, ecological and safety and sustainable agriculture. This project is focused on the growth and physiological features of rice under heavy metal stress, and using the “root-stem-leaf” trinity research strategies. The theoretical contents are exploring the rules of metal absorption, transportation, distribution in rice root-stem-leaf, and the functional mechanism of root morphologic changes, development traits and physiological regulation. The methodological contents are using hyper-spectral imaging, microscopy Imaging and laser-induced breakdown spectroscopy (LIBS) to develop fast detection methods and models, including the root morphology and metal absorption, stem development and metal transportation, and metal leaf physiological index and metal visual distribution model. This project will realize the fast detection of stress growth, physiological and heavy metals, which is helpful for the stress dynamic monitoring, prevention and restoration and precise management, and meaningful for the crop yield and quality safety.