Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/67408
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dc.contributor.author謝快樂zh_TW
dc.contributor.author張伯俊zh_TW
dc.contributor.author沈瑞鴻zh_TW
dc.contributor.other行政院農業委員會zh_TW
dc.date2006zh_TW
dc.date.accessioned2014-06-11T05:51:47Z-
dc.date.available2014-06-11T05:51:47Z-
dc.identifier94農科-13.2.1-檢-B1(1)zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/67408-
dc.description.abstractHPAI對本省養禽業者具極大之潛在危險性,並有人畜共通疾病之顧慮,本實驗室經多年努力,已建立多項能鑑定AI及其抗體之傳統或分生技術。在本年度計畫中,我們將開發完成N1、N2、N3及N7亞型抗體之快速診斷技術研發,除可用於區別疫苗免疫及田間感染外,亦有助於AIV之防治與監控。zh_TW
dc.description.abstractHPAI has imposed a great potential threat to both the poultry industry and humans in Taiwan. We have established several conventional or molecular techniques for rapid identification of AIV and its antibody. In this year, we will develop an immunofluorescence assay kit for rapid differentiation of N1, N2, N3 and N7 antibodies. This kit could differentiate vaccination from field infection of AIV and will contribute to the prevention and control of HPAI.en_US
dc.language.isozh_TWzh_TW
dc.relation.urihttp://grbsearch.stpi.narl.org.tw/GRB/result.jsp?id=1162001&plan_no=94%E8%BE%B2%E7%A7%91-13.2.1-%E6%AA%A2-B1%281%29&plan_year=94&projkey=PG9410-2357&target=plan&highStr=*&check=0&pnchDesc=%E9%AB%98%E7%97%85%E5%8E%9F%E6%80%A7%E7%A6%BD%E6%B5%81%E6%84%9F%E7%97%85%E6%AF%92N%E4%BA%9E%E5%9E%8B%E5%BF%AB%E9%80%9F%E8%A8%BA%E6%96%B7%E6%8A%80%E8%A1%93%E4%B9%8B%E7%A0%94%E7%99%BCen_US
dc.subject應用研究zh_TW
dc.subjectAvian Influenzaen_US
dc.subject畜牧獸醫類zh_TW
dc.subject禽流感zh_TW
dc.subjectN亞型鑑定zh_TW
dc.subject免疫螢光分析zh_TW
dc.subjectN-subtypingen_US
dc.subjectImmunofluorescence Assayen_US
dc.title高病原性禽流感病毒N亞型快速診斷技術之研發zh_TW
dc.titleDevelopment of Diagnostic Technique for Rapid Differentiation of N-Subtypes of Highly Pathogenic Influenza Virusen_US
dc.typeResearch Reportszh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeResearch Reports-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1zh_TW-
item.grantfulltextnone-
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