Access the full text.
Sign up today, get DeepDyve free for 14 days.
T McKnight, J Hart (1966)
Some field observations on crown rot disease of wheat caused by Fusarium graminearumQueensland J Agric Anim Sci, 23
GS Purss (1966)
Studies of varietal resistance to crown rot of wheat caused by Fusarium graminearum SchwQueensland J Agric Anim Sci, 23
ML Evans, GJ Hollaway, JI Dennis, R Correll, H Wallwork (2010)
Crop sequence as a tool for managing populations of Fusarium pseudograminearum and F. culmorum in south-eastern AustraliaAustralas Plant Pathol, 39
CA Strausbaugh, K Overturf, AC Koehn (2005)
Pathogenicity and real-time PCR detection of Fusarium spp. in wheat and barley rootsCan J Plant Pathol, 27
X Li, C Liu, S Chakraborty, JM Manners, K Kazan (2008)
A simple method for the assessment of crown rot disease severity in wheat seedlings inoculated with Fusarium pseudograminearumJ Phytopathol, 156
AC Hogg, RH Johnston, AT Dyer (2007)
Applying real-time quantitative PCR to Fusarium crown rot of wheatPlant Dis, 91
P Nicholson, DR Simpson, G Weston, HN Rezanoor, AK Lees, DW Parry, D Joyce (1998)
Detection and quantification of Fusarium culmorum and Fusarium graminearum in cereals using PCR assaysPhysiol Mol Plant Pathol, 53
GB Wildermuth, RB McNamara (1994)
Testing wheat seedlings for resistance to crown rot caused by Fusarium graminearum Group 1Plant Dis, 78
NL Knight, A Martin, MW Sutherland, DJ Herde (2012)
Assessment of infection by Fusarium pseudograminearum in wheat seedling tissues using quantitative PCR and a visual discoloration scalePlant Dis, 96
W Bovill, M Horne, D Herde, M Davis, G Wildermuth, M Sutherland (2010)
Pyramiding QTL increases seedling resistance to crown rot (Fusarium pseudograminearum) of wheat (Triticum aestivum)Theor Appl Genet, 121
CD Percy, GB Wildemuth, MW Sutherland (2012)
Symptom development proceeds at different rates in susceptible and partially resistant cereal seedlings infected with Fusarium pseudograminearumAustralas Plant Pathol, 41
J Fowler, L Cohen, P Jarvis (1998)
Practical statistics for field biology
RL Dodman, GB Wildermuth (1987)
Inoculation methods for assessing resistance in wheat to crown rot caused by Fusarium graminearum Group 1Aust J Agric Res, 38
EA Moya-Elizondo, BJ Jacobsen, AC Hogg, AT Dyer (2011)
Population dynamics between Fusarium pseudograminearum and Bipolaris sorokiniana in wheat stems using real-time qPCRPlant Dis, 95
GB Wildermuth, RB McNamara, JS Quick (2001)
Crown depth and susceptibility to crown rot in wheatEuphytica, 122
V Mitter, MC Zhang, CJ Liu, R Ghosh, M Ghosh, S Chakraborty (2006)
A high-throughput glasshouse bioassay to detect crown rot resistance in wheat germplasmPlant Pathol, 55
C Waalwijk, R Heide, I Vries, T Lee, C Schoen, G Costrel-de Corainville, I Häuser-Hahn, P Kastelein, J Köhl, P Lonnet, T Demarquet, G Kema (2004)
Quantitative detection of Fusarium species in wheat using TaqManEur J Plant Pathol, 110
H Wallwork, M Butt, JPE Cheong, KJ Williams (2004)
Resistance to crown rot in wheat identified through an improved method for screening adult plantsAustralas Plant Pathol, 33
Disease severity of crown rot (Fusarium pseudograminearum) in winter cereal culms is typically assessed at harvest maturity by recording incidence of infection, whitehead production and discolouration of basal internodes. This study has investigated the relationship between the proportion of discolouration of individual internodes and the extent of host tissue colonisation by the pathogen, based on species-specific quantitative PCR (qPCR). Field-grown plots were used to compare visual ratings and F. pseudograminearum DNA content of eight cereal genotypes (six hard white spring wheats, one durum wheat and one barley) at 16 and 22 weeks after planting (WAP) in 2009 and 2013. At 16 WAP (post anthesis – early milk development) strong correlations were present between visual discolouration and fungal DNA content per unit of tissue weight for internodes one, two and three in 2009 and 2013. At 22 WAP (harvest maturity) these relationships were only significant for internode two in 2009 and internode three in the 2013 trial. Differences in both visual symptoms and fungal DNA content between the genotypes occurred at both sample times, but the most significant distinction between genotypes was at 16 WAP. We conclude that visible discolouration of cereal culms is a useful indicator of fungal biomass in culm tissue, as estimated by qPCR. Furthermore, assessment of diseased culms at 16 WAP provides a stronger correlation with fungal colonisation and discriminates more clearly between disease reactions in different host genotypes, in comparison to assessment at harvest maturity.
Australasian Plant Pathology – Springer Journals
Published: Apr 17, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.