Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model
| dc.contributor.author | Oliver, Richard | |
| dc.contributor.author | Rybak, K. | |
| dc.contributor.author | Shankar, M. | |
| dc.contributor.author | Loughman, R. | |
| dc.contributor.author | Harry, N. | |
| dc.contributor.author | Solomon, P. | |
| dc.date.accessioned | 2017-01-30T13:55:42Z | |
| dc.date.available | 2017-01-30T13:55:42Z | |
| dc.date.created | 2010-11-18T01:20:28Z | |
| dc.date.issued | 2008 | |
| dc.identifier.citation | Oliver, R. and Rybak, K. and Shankar, M. and Loughman, R. and Harry, N. and Solomon, P. 2008. Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model. Plant Pathology. 57 (3): pp. 527-532. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/36436 | |
| dc.identifier.doi | 10.1111/j.1365-3059.2007.01787.x | |
| dc.description.abstract |
Measuring disease resistance accurately and reproducibly is a key requirement for the introgression of partial resistance genes into breeding lines. Here, a qPCR protocol is used to measure fungal biomass, using the wheat-Stagonospora nodorum pathosystem as a model. Seven cultivars of differing reported resistance levels were used. Fungal biomass taken at 220°C thermal days after inoculation accurately predicts the final grain weight loss. It is concluded that a test based on qPCR methods is specific, quantitative, rapid and objective. Such tests could provide useful and economic tools in the development of robustly resistant crop cultivars. | |
| dc.title | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model | |
| dc.type | Journal Article | |
| curtin.department | Department of Environmental and Agriculture | |
| curtin.accessStatus | Open access via publisher |