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| DOI: | 10.1094/PHYTO.2011.101.6.S207 |
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| Web URL(s): | http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2011.101.6.S207#page=5
Last checked: 06/17/2016
Requires: PDF Reader
Notes: Item is within a limited-access website |
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| Publication Type:
| Report |
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| Author(s): | Beirn, L. A.;
Njambere, E. N.;
Zhang, N.;
Clarke, B. B.;
Crouch, J. |
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| Author Affiliation: | Beirn, Njambere, Zhang, and Clarke: Rutgers University, New Brunswick, NJ; Crouch: Systematic Mycology and Microbiology Laboratory, USDA-ARS, Beltsville, MD |
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| Title: | Turfgrass diagnostics and new, advanced technologies |
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| Section: | 2011 APS-IPPC joint meeting abstracts of special session presentations: New and emerging technologies in turfgrass disease management
Other records with the "2011 APS-IPPC joint meeting abstracts of special session presentations: New and emerging technologies in turfgrass disease management" Section
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| Meeting Info.: | Honolulu, Hawaii: August 6-10, 2011 |
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| Source: | Phytopathology. Vol. 101, No. 6s, June 2011, p. S211. |
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| Publishing Information: | Lancaster, Pennsylvania: The Society Intelligencer Printing Company for The American Phytopathological Society |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Disease identification; Disease control; Identification keys; Sustainable land management
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| Abstract/Contents: | "Strategies for sustainable, integrated disease management start with reliable pathogen identification. Conventional identification methods such as disease symptomology, host association, morphology and biochemical tests are still key diagnostic indicators for many phytopathogens; however, nucleic acid recognition-based methods are increasingly used for routine pathogen identification due to their speed, accuracy, sensitivity and reproducibility. In this seminar, we provide an overview of nucleic acid-based recognition tools for turfgrass pathogen identification that are currently available or under development, including real-time PCR, macroarray, SNP and microsatellite profiling, DNA sequence analysis and bioinformatics. We also provide examples of successful real-world applications of DNA-based turf pathogen identification tools currently being used by diagnostic laboratories, pathologists and plant breeders, and discuss innovative new technologies that could facilitate the future deployment of molecular identification tools for use in the field or lab without the requirement for sophisticated instrumentation." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Beirn, L. A., E. N. Njambere, N. Zhang, B. B. Clarke, and J. Crouch. 2011. Turfgrass diagnostics and new, advanced technologies. Phytopathology. 101(6s):p. S211. |
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| DOI: 10.1094/PHYTO.2011.101.6.S207 |
| Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2011.101.6.S207#page=5
Last checked: 06/17/2016
Requires: PDF Reader
Notes: Item is within a limited-access website |
| 
MSU catalog number: b2219736a |
| Find from within TIC:
Digitally in TIC by file name: phytp2011junspecialpres |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
