Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model
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 repo...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/36436 |
| _version_ | 1848754770049761280 |
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| author | Oliver, Richard Rybak, K. Shankar, M. Loughman, R. Harry, N. Solomon, P. |
| author_facet | Oliver, Richard Rybak, K. Shankar, M. Loughman, R. Harry, N. Solomon, P. |
| author_sort | Oliver, Richard |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:45:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-36436 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:45:41Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-364362019-05-22T00:39:29Z Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model Oliver, Richard Rybak, K. Shankar, M. Loughman, R. Harry, N. Solomon, P. 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. 2008 Journal Article http://hdl.handle.net/20.500.11937/36436 10.1111/j.1365-3059.2007.01787.x unknown |
| spellingShingle | Oliver, Richard Rybak, K. Shankar, M. Loughman, R. Harry, N. Solomon, P. Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title_full | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title_fullStr | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title_full_unstemmed | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title_short | Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum wheat pathosystem as a model |
| title_sort | quantitative disease resistance assessment by real-time pcr using the stagonospora nodorum wheat pathosystem as a model |
| url | http://hdl.handle.net/20.500.11937/36436 |