Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model

R. P. Oliver; K. Rybak; M. Shankar; R. Loughman; N. Harry; P. S. Solomon

doi:10.1111/j.1365-3059.2007.01787.x

Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model

R. P. Oliver
, K. Rybak
, M. Shankar
, R. Loughman
, N. Harry
, P. S. Solomon

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

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.

Original language	English
Pages (from-to)	527-532
Number of pages	6
Journal	Plant Pathology
Volume	57
Issue number	3
DOIs	https://doi.org/10.1111/j.1365-3059.2007.01787.x
Publication status	Published - Jun 2008
Externally published	Yes

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title = "Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model",

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.",

keywords = "Breeding for disease resistance, Glume blotch of wheat, Stagonospora leaf blotch, Triticum aestivum",

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year = "2008",

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language = "English",

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AU - Oliver, R. P.

AU - Rybak, K.

AU - Shankar, M.

AU - Loughman, R.

AU - Harry, N.

AU - Solomon, P. S.

PY - 2008/6

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N2 - 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.

AB - 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.

KW - Breeding for disease resistance

KW - Glume blotch of wheat

KW - Stagonospora leaf blotch

KW - Triticum aestivum

UR - https://www.scopus.com/pages/publications/43749096101

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DO - 10.1111/j.1365-3059.2007.01787.x

M3 - Article

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VL - 57

SP - 527

EP - 532

JO - Plant Pathology

JF - Plant Pathology

IS - 3

ER -

Quantitative disease resistance assessment by real-time PCR using the Stagonospora nodorum-wheat pathosystem as a model

Abstract

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