12.07.2013 Views

EFS12- Book of abstracts - Contact

EFS12- Book of abstracts - Contact

EFS12- Book of abstracts - Contact

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

SESSION 4: GENETICS OF HOSTS – PLANT RESISTANCE TO FUSARIUM,<br />

VARIETY DEVELOPMENT<br />

P89 - Identification <strong>of</strong> physiological traits in wheat<br />

conferring passive resistance to Fusarium head blight<br />

S. Jones, J. Foulkes, D. Sparkes, R. Ray<br />

University <strong>of</strong> Nottingham, School <strong>of</strong> Biosciences, Division <strong>of</strong> Plant and Crop Sciences, Sutton<br />

Bonington Campus, LE12 5RD, UK<br />

E-mail: sbxsj@nottingham.ac.uk<br />

Fusarium head blight (FHB), caused by a complex <strong>of</strong> Fusarium and Microdochium<br />

species, is a devastating fungal disease <strong>of</strong> cereals worldwide that leads to<br />

reductions <strong>of</strong> grain yield, quality and safety. Developing cultivars with improved<br />

FHB resistance is considered an essential step towards reducing the impact <strong>of</strong><br />

this disease.<br />

This study aimed to identify and quantify plant and ear traits in wheat conferring<br />

passive resistance to FHB through disease escape. Two field experiments were<br />

carried out in 2010 and 2011 using 5 UK winter wheat cultivars and 10 doubledhaploid<br />

lines derived from a cross between a spring wheat line <strong>of</strong> large-ear<br />

phenotype from CIMMYT, Mexico, and the UK winter wheat cultivar, Rialto. All 15<br />

wheat genotypes were ground inoculated at GS 30 using oat grains infected with<br />

a mixture <strong>of</strong> Fusarium graminearum, F. culmorum, F. avenaceum, F. langsethiae,<br />

F. poae, Microdochium majus and M. nivale. Plant and ear characteristics <strong>of</strong> the<br />

wheat genotypes were assessed at GS 65. Visual disease symptoms were scored<br />

at regular intervals from mid-anthesis onwards and used to calculate the area<br />

under the disease progress curve (AUDPC) for each wheat genotype.<br />

Multiple linear regression with groups was used to identify significant physiological<br />

traits related to AUDPC for the two seasons. Stem length, flag leaf length and ear<br />

length were the predominant plant characteristics which accounted for a<br />

significant (P

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!