نتایج جستجو برای: fhb

تعداد نتایج: 397  

Journal: :Phytopathology 2009
Christina Cowger Jennifer Patton-Ozkurt Gina Brown-Guedira Leandro Perugini

ABSTRACT Current models for forecasting Fusarium head blight (FHB) and deoxynivalenol (DON) levels in wheat are based on weather near anthesis, and breeding for resistance to FHB pathogens often relies on irrigation before and shortly after anthesis to encourage disease development. The effects of post-anthesis environmental conditions on FHB are poorly understood. We performed a field experime...

2016
Dhananjay Dhokane Shailesh Karre Ajjamada C. Kushalappa Curt McCartney

BACKGROUND Fusarium head blight (FHB) caused by Fusarium graminearum not only causes severe losses in yield, but also reduces quality of wheat grain by accumulating mycotoxins. Breeding for host plant resistance is considered as the best strategy to manage FHB. Resistance in wheat to FHB is quantitative in nature, involving cumulative effects of many genes governing resistance. The poor underst...

Journal: :Kansas Agricultural Experiment Station Research Reports 2021

This is a report of research to test the impact fungicide and management on wheat yield quality. Fusarium head blight (FHB), or scab, persistent problem in production, especially high rainfall areas such as eastern Kansas. Two cultivars winter varying FHB sensitivity (Everest, moderately resistant, KanMark, susceptible) were tested for control using treatments made seed prior planting plant at ...

2014
Jorge David Salgado Laurence V. Madden

Salgado, J. D., Madden, L. V., and Paul, P. A. 2014. Efficacy and economics of integrating in-field and harvesting strategies to manage Fusarium head blight of wheat. Plant Dis. 98:1407-1421. Fusarium head blight (FHB), a fungal disease of wheat caused by Fusarium graminearum, and its associated toxins, particularly deoxynivalenol (DON), are best managed by integrating multiple strategies. Expe...

Behzad Ghareyazie Mohammad Reza Ghaffari Mohammad Reza Naghavi, Mohsen Mardi, Mona Mazaheri Seyed Mostafa Pirseyedi Sirus Abdemishani

Resistance gene analog polymorphism (RGAP) markers linked to Fusarium head blight resistance (FHB) and co-localize with Qfhs.ndsu-3BS were identified using F3 plants and F3:5 lines derived from a ‘Wangshuibai’ (resistant) / ‘Seri82’ (susceptible) cross. The mapping populations were genotyped using 50 degenerate primers designed based on the known R genes. Out of the 50 designed primer combinati...

Journal: :Euphytica 2022

Abstract Reduced height ( Rht ) genes are widely used in modern wheat breeding although some confer higher susceptibility to Fusarium head blight (FHB) caused by F. graminearum and other species. Our objective was test whether the recently identified Rht24b dwarfing allele has a neutral effect on FHB response as reported previously from single mapping population when unrelated winter cultivars ...

Journal: :Remote Sensing 2021

By combining the spectral and texture features of images captured by unmanned aerial vehicles (UAVs), accurate timely detection wheat Fusarium head blight (FHB) can be realized. This study presents a methodology to select optimal window size gray-level co-occurrence matrix (GLCM) extract from UAV for FHB detection. Host conditions disease distribution were combined construct model, its overall ...

2014
K. F. Andersen

Andersen, K. F., Morris, L., Derksen, R. C., Madden, L. V., and Paul, P. A. 2014. Rainfastness of prothioconazole + tebuconazole for Fusarium head blight and deoxynivalenol management in soft red winter wheat. Plant Dis. 98:1398-1406. Fungicides are most warranted for control of Fusarium head blight (FHB), a disease of wheat caused by the fungal pathogen Fusarium graminearum, when wet, rainy co...

Journal: :Remote Sensing 2022

Wheat Fusarium head blight (FHB) can be effectively controlled through prediction. To address the low accuracy and poor stability of model predictions wheat FHB, a prediction method FHB that couples logistic regression mechanism-based k-nearest neighbours (KNN) is proposed in this paper. First, we selected predictive factors, including remote sensing-based meteorological factors. Then, quantita...

2005
Ruth Dill-Macky Shaukat Ali Tika Adhikari

Knowledge of host resistance, inoculum levels, and weather conditions favorable for disease development is necessary to optimize a disease forecaster. A group of plant pathologists from five land-grant universities (North Dakota, Ohio, Pennsylvania, Purdue, and South Dakota) have collaborated to develop and improve performance of a disease forecasting system for Fusarium Head Blight (FHB). The ...

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