Research progress on nucleic acid amplification-based detection technologies for phytopathogenic fungi.
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| Title: | Research progress on nucleic acid amplification-based detection technologies for phytopathogenic fungi. |
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| Authors: | Wang B; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China., Liu M; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China., Wang H; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China., Wang C; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China., Zhang W; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. zhangwei@baafs.net.cn., Yan J; Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. |
| Source: | Applied microbiology and biotechnology [Appl Microbiol Biotechnol] 2026 Apr 02; Vol. 110 (1). Date of Electronic Publication: 2026 Apr 02. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 8406612 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-0614 (Electronic) Linking ISSN: 01757598 NLM ISO Abbreviation: Appl Microbiol Biotechnol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-0614 |
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| DOI: | 10.1007/s00253-026-13795-0 |
