A genomic approach for improved detection of annual ryegrass toxicity Kowalski, Melissa Caera 2010, A genomic approach for improved detection of annual ryegrass toxicity, Ph.D. thesis, School of Life and Environmental Sciences, Deakin University. Attached Files Name Description MIMEType Size Downloads kowalski-genomicapproach-2010.pdf Thesis application/pdf 11.97MB 658 Title A genomic approach for improved detection of annual ryegrass toxicity Author Kowalski, Melissa Caera Institution Deakin University School School of Life and Environmental Sciences Faculty Faculty of Science and Technology Degree type Research doctorate Degree name Ph.D. Thesis advisor Cahill, David Date submitted 2010-11-01 Summary Annual Ryegrass Toxicity is a severe and constant threat to the Australian agricultural industry. Current diagnostic and detection strategies to predict and monitor ARGT are limited. This thesis utilised genomic-based technologies to develop improved strategies for detection of molecular indicators of toxicity in field and livestock to facilitate pre-clinical detection. Language eng Description of original xvii, 383 p. Copyright notice ©The author Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30031377 Document type: Thesis Collections: Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Higher degree theses (Open Access) Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 29 Nov 2010, 08:22:42 EST Mon, 29 Nov 2010, 08:23:58 EST Mon, 29 Nov 2010, 09:02:24 EST Mon, 29 Nov 2010, 11:52:09 EST Mon, 29 Nov 2010, 11:53:56 EST Mon, 29 Nov 2010, 13:53:00 EST Wed, 15 Dec 2010, 09:30:45 EST Wed, 11 May 2011, 15:58:23 EST Tue, 05 Dec 2017, 10:44:52 EST Tue, 14 Aug 2018, 09:41:09 EST Fri, 07 Sep 2018, 19:17:16 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 569 Abstract Views, 659 File Downloads  -  Detailed Statistics Created: Mon, 29 Nov 2010, 08:22:31 EST by Leanne Swaneveld