Genome‐wide analysis and prediction of Fusarium head blight resistance in soft red winter wheat

Crop Science ◽  
2020 ◽  
Vol 60 (6) ◽  
pp. 2882-2900 ◽  
Author(s):  
Dylan L. Larkin ◽  
Amanda L. Holder ◽  
R. Esten Mason ◽  
David E. Moon ◽  
Gina Brown‐Guedira ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Head Blight ◽  
Genome Wide Analysis ◽  
Soft Red Winter Wheat ◽  
Genome Wide ◽  
Red Winter Wheat

Identification and validation of Fusarium head blight resistance QTL in the U.S. soft red winter wheat cultivar ‘Jamestown’

Crop Science ◽  
2020 ◽  
Vol 60 (6) ◽  
pp. 2919-2930 ◽  
Author(s):  
Neal R. Carpenter ◽  
Emily Wright ◽  
Subas Malla ◽  
Lovepreet Singh ◽  
David Van Sanford ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Wheat Cultivar ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Head Blight ◽  
Winter Wheat Cultivar ◽  
Soft Red Winter Wheat ◽  
Red Winter Wheat ◽  
The U.S

Novel QTL associated with the Fusarium head blight resistance in Truman soft red winter wheat

Euphytica ◽  
2015 ◽  
Vol 207 (3) ◽  
pp. 571-592 ◽  
Author(s):  
Md. Sariful Islam ◽  
Gina Brown-Guedira ◽  
David Van Sanford ◽  
Herb Ohm ◽  
Yanhong Dong ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Red Winter Wheat

QTL associated with Fusarium head blight resistance in the soft red winter wheat Ernie

2007 ◽  
Vol 115 (3) ◽  
pp. 417-427 ◽  
Author(s):  
S. Liu ◽  
Z. A. Abate ◽  
H. Lu ◽  
T. Musket ◽  
G. L. Davis ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Red Winter Wheat

Effect of Fusarium Head Blight Resistance Gene Fhb1 on Agronomic and End-Use Quality Traits of Hard Red Winter Wheat

Crop Science ◽  
2013 ◽  
Vol 53 (3) ◽  
pp. 793-801 ◽  
Author(s):  
Ali Bakhsh ◽  
Neway Mengistu ◽  
P. S. Baenziger ◽  
I. Dweikat ◽  
S. N. Wegulo ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Resistance Gene ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Quality Traits ◽  
Head Blight ◽  
Hard Red Winter Wheat ◽  
End Use ◽  
Red Winter Wheat

scholarly journals Meta-Analysis of the Effects of Triazole-Based Fungicides on Wheat Yield and Test Weight as Influenced by Fusarium Head Blight Intensity

2010 ◽  
Vol 100 (2) ◽  
pp. 160-171 ◽  
Author(s):  
P. A. Paul ◽  
M. P. McMullen ◽  
D. E. Hershman ◽  
L. V. Madden
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Wheat Yield ◽  
Test Weight ◽  
Response To Treatment ◽  
Yield Response ◽  
Head Blight ◽  
Yield Increase ◽  
Soft Red Winter Wheat ◽  
Red Winter Wheat

Multivariate random-effects meta-analyses were conducted on 12 years of data from 14 U.S. states to determine the mean yield and test-weight responses of wheat to treatment with propiconazole, prothioconazole, tebuconazole, metconazole, and prothioconazole+tebuconazole. All fungicides led to a significant increase in mean yield and test weight relative to the check (D; P < 0.001). Metconazole resulted in the highest overall yield increase, with a D of 450 kg/ha, followed by prothioconazole+tebuconazole (444.5 kg/ha), prothioconazole (419.1 kg/ha), tebuconazole (272.6 kg/ha), and propiconazole (199.6 kg/ha). Metconazole, prothioconazole+tebuconazole, and prothioconazole also resulted in the highest increases in test weight, with D values of 17.4 to 19.4 kg/m3, respectively. On a relative scale, the best three fungicides resulted in an overall 13.8 to 15.0% increase in yield but only a 2.5 to 2.8% increase in test weight. Except for prothioconazole+tebuconazole, wheat type significantly affected the yield response to treatment; depending on the fungicide, D was 110.0 to 163.7 kg/ha higher in spring than in soft-red winter wheat. Fusarium head blight (FHB) disease index (field or plot-level severity) in the untreated check plots, a measure of the risk of disease development in a study, had a significant effect on the yield response to treatment, in that D increased with increasing FHB index. The probability was estimated that fungicide treatment in a randomly selected study will result in a positive yield increase (p+) and increases of at least 250 and 500 kg/ha (p250 and p500, respectively). For the three most effective fungicide treatments (metconazole, prothioconazole+tebuconazole, and prothioconazole) at the higher selected FHB index, p+ was very large (e.g., ≥0.99 for both wheat types) but p500 was considerably lower (e.g., 0.78 to 0.92 for spring and 0.54 to 0.68 for soft-red winter wheat); at the lower FHB index, p500 for the same three fungicides was 0.34 to 0.36 for spring and only 0.09 to 0.23 for soft-red winter wheat.

scholarly journals Efficacy of Fungicide Applications During and After Anthesis Against Fusarium Head Blight and Deoxynivalenol in Soft Red Winter Wheat

Plant Disease ◽  
2014 ◽  
Vol 98 (10) ◽  
pp. 1387-1397 ◽  
Author(s):  
D. L. D'Angelo ◽  
C. A. Bradley ◽  
K. A. Ames ◽  
K. T. Willyerd ◽  
L. V. Madden ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Field Experiments ◽  
The Other ◽  
Square Root ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Untreated Check ◽  
Red Winter Wheat ◽  
Days After Anthesis

Seven field experiments were conducted in Ohio and Illinois between 2011 and 2013 to evaluate postanthesis applications of prothioconazole + tebuconazole and metconazole for Fusarium head blight and deoxynivalenol (DON) control in soft red winter wheat. Treatments consisted of an untreated check and fungicide applications made at early anthesis (A), 2 (A+2), 4 (A+4), 5 (A+5), or 6 (A+6) days after anthesis. Six of the seven experiments were augmented with artificial Fusarium graminearum inoculum, and the other was naturally infected. FHB index (IND), Fusarium damaged kernels (FDK), and DON concentration of grain were quantified. All application timings led to significantly lower mean arcsine-square-root-transformed IND and FDK (arcIND and arcFDK) and log-transformed (logDON) than in the untreated check; however, arcIND, arcFDK, and logDON for the postanthesis applications were generally not significantly different from those for the anthesis applications. Relative to the check, A+2 resulted in the highest percent control for both IND and DON, 69 and 54%, respectively, followed by A+4 (62 and 52%), A+6 (62 and 48%), and A (56 and 50%). A+2 and A+6 significantly reduced IND by 30 and 14%, respectively, relative to the anthesis application. Postanthesis applications did not, however, reduce DON relative to the anthesis application. These results suggest that applications made up to 6 days following anthesis may be just as effective as, and sometimes more effective than, anthesis applications at reducing FHB and DON.

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