Journal article
Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model
Plant Pathology, Vol.57(3), pp.527-532
2008
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.
Details
- Title
- Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model
- Authors/Creators
- R.P. Oliver (Author/Creator)K. Rybak (Author/Creator)M. Shankar (Author/Creator)R. Loughman (Author/Creator)N. Harry (Author/Creator)P.S. Solomon (Author/Creator)
- Publication Details
- Plant Pathology, Vol.57(3), pp.527-532
- Publisher
- Wiley-Blackwell
- Identifiers
- 991005542563807891
- Copyright
- 2008 The Authors
- Murdoch Affiliation
- Australian Centre for Necrotrophic Fungal Pathogens
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.97 Plant Pathology
- 3.97.636 Fungal Plant Pathogens
- Web Of Science research areas
- Agronomy
- Plant Sciences
- ESI research areas
- Plant & Animal Science