Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

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

Date

Authors

Oliver, Richard Peter

Rybak, Kasia

Shankar, Manisha

Loughman, R

Harry, N

Solomon, Peter

Publisher

Blackwell Publishing Ltd

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

Keywords

Keywords: assessment method; biomass; cultivar; disease resistance; fungal disease; fungus; pathogen; polymerase chain reaction; wheat; Phaeosphaeria nodorum; Stagonospora; Triticum aestivum Breeding for disease resistance; Glume blotch of wheat; Stagonospora leaf blotch; Triticum aestivum

URI

http://hdl.handle.net/1885/18894

Collections

Open Access Research

Source

Plant Pathology

Type

Journal article

DOI

10.1111/j.1365-3059.2007.01787.x

Restricted until

2037-12-31

Downloads

File

Description

01_Oliver_Quantitative_disease_2008.pdf (95.72 KB)