Development and implementation of NIR based predictive tools to rate sugarcane varieties against smut and Fiji Leaf Gall : SRDC final report BSS307
| Author | O'Shea, M |
| Author | Purcell, D |
| Date Accessioned | 2015-03-11 |
| Date Available | 2015-03-11 |
| Issued | 2012 |
| Identifier | http://hdl.handle.net/11079/13974 |
| Abstract | This project will take existing research outcomes and use them to develop and implement new predictive tools for varietal selection against smut and Fiji leaf gall. These tools will improve the delivery of resistant varieties in shorter timeframes, and reduce the cost of varietal selection. |
| Language | en |
| Publisher | BSES |
| Part of Series | BSES Internal Report; 2012 No DS12004 |
| Title | Development and implementation of NIR based predictive tools to rate sugarcane varieties against smut and Fiji Leaf Gall : SRDC final report BSS307 |
| dc.type | Internal Report |
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Pest, disease and weed management [181]
Research outcomes: A comprehensive RD&E program that addresses existing and emerging pests, diseases and weeds, allowing sugarcane growers to manage their crops efficiently with minimal environmental impacts. An enhanced industry capacity to deal with incursions of exotic pests, diseases and weeds.