This invention discloses a diagnostic and predictive method and
system for rice post-drought rehydration
recovery capacity based on photosynthetic and molecular indicators, belonging to the field of rice
drought resistance diagnostic technology. This invention collects leaf samples from rice at the normal
water supply period, the end of drought, and the rehydration
recovery period, respectively, to obtain net photosynthetic rate,
Rubisco enzyme activity, and expression levels of several characteristic genes, constructing normalized photosynthetic
recovery indicators, biochemical recovery indicators, and molecular recovery indicators; and constructs a comprehensive diagnostic index by weighted
coupling of these indicators. This method effectively reduces the fluctuation bias caused by drought environmental disturbances to single indicators; while being compatible with special physiological scenarios such as abnormally elevated
enzyme activity under
drought stress, it improves the robustness of diagnostic results by averaging the expression levels of multiple genes, achieving quantitative diagnosis and accurate prediction of rice rehydration compensation capacity; it solves the problem of existing technologies using single indicators and difficulty in quantifying the physiological
homeostasis reconstruction process.