2013-02-012024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/663414摘要：稻熱病為水稻最重要病害之一，於全球各產區均造成相當危害。目前水稻或其他作物病害的監測預警工作，主要係由植物保護或農業相關人員，按時赴田間調查，再依據目視法所觀察到的發病程度，判斷是否發布病害防治警報。此等行之有年的傳統監測模式，其最大限制，在於必須待田間作物開始出現病徵，並達到相當程度後，才足以被調查人員發現；而不同栽培品種上抗感病反應的差異，也容易造成經驗不足的調查人員判斷上的困難，以及監測數據之誤差。本年度計畫將運用所研發之「旋風式孢子收集器」及qPCR定量技術，繼續進行新監測技術之田間測試，透過定期收集、採樣、孢子定量，以及田間氣象及發病資料之蒐集，逐步建立稻熱病發生預測模式。<br> Abstract: Rice blast, caused by Magnaporthe oryzae, is one of the most devastating diseases of rice worldwide. Nationwide plant disease monitoring and notification has long been relying on periodic surveys and visual evaluations by trained plant protection personnel. The conventional naked-eye examination approach, however, has its limitations. With visual examination, detection of the onset of an epidemic can be delayed, as the disease severity has to exceed a certain threshold so that the diseased tissues can be seen by the investigator. In addition, monitoring data resulted from visual examinations in different areas are not comparable, because disease occurrence and lesion types can be affected by differential resistance performances of variable plant cultivars. Following the development of a `cyclone-based` spore trap and the qPCR technique, we plan to continue the monitoring effort throughout the whole growing seasons in several field sites. Through periodic spore sampling, qPCR quantification, disease evaluation and the collection of environmental data, a preliminary rice blast forecasting system will be developed.旋風式孢子收集器稻熱病即時定量聚合&#37238連鎖反應稻熱病監測預警模式Cyclone-based spore trapMagnaporthe oryzaeQuantitative realtime PCRRice blast monitoring and forecasting model