Near-infrared versus visual sorting of Fusarium-damaged kernels in winter wheat

Fusarium head blight (scab) of wheat, caused by Fusarium graminearum, often results in shriveled and/or discolored kernels, which are referred to as Fusarium-damaged kernels (FDK). FDK is a major grain grading factor and therefore is routinely determined for purposes of quality assurance. Measurement of FDK is usually done visually. Visual sorting can be laborious and is subject to inconsistencies resulting from variability in intra-rater repeatability and/or inter-rater reliability. The ability of a single-kernel near-infrared (SKNIR) system to detect FDK was evaluated by comparing FDK sorted by the system to FDK sorted visually. Visual sorting was strongly correlated with sorting by the SKNIR system (0.89 ≤ r ≤ 0.91); however, the SKNIR system had a wider range of FDK detection and was more consistent. Compared with the SKNIR system, visual raters overestimated FDK in samples with a low percentage of Fusarium-damaged grain and underestimated FDK in samples with a high percentage of Fusarium-damaged grain. Key words: Wheat, Fusarium head blight, Fusarium-damaged kernels, single-kernel near-infrared

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Quantification of Fusarium graminearum in Harvested Grain by Real-Time Polymerase Chain Reaction to Assess Efficacies of Fungicides on Fusarium Head Blight, Deoxynivalenol Contamination, and Yield of Winter Wheat

Phytopathology ◽

10.1094/phyto-99-1-0095 ◽

2009 ◽

Vol 99 (1) ◽

pp. 95-100 ◽

Cited By ~ 38

Author(s):

Y. J. Zhang ◽

P. S. Fan ◽

X. Zhang ◽

C. J. Chen ◽

M. G. Zhou

Keyword(s):

Polymerase Chain Reaction ◽

Winter Wheat ◽

Fusarium Head Blight ◽

Real Time ◽

Fusarium Graminearum ◽

Disease Assessment ◽

Strong Positive Correlation ◽

Head Blight ◽

Chain Reaction ◽

Polymerase Chain

We used a real time polymerase chain reaction-based assay and visual disease assessment to evaluate the efficacies of Js399-19, tebuconazole, a mixture of tebuconazole and thiram, azoxystrobin, carbendazim, and thiram on the development of Fusarium head blight (FHB) and deoxynivalenol (DON) contamination and on the yield of winter wheat (cv. Nannong no. 9918) after artificial inoculation under field conditions with Fusarium graminearum. The incidence of infected spikelets (IIS), amount of F. graminearum DNA (Tri5 DNA), total DON (containing DON, 3-acetyl-deoxynivalenol, and 15-acetyl-deoxynivalenol) concentration, and 1,000-grain weight (TGW) were quantified in 2006 and 2007. A strong positive correlation was found between IIS or Log10Tri5 DNA and total DON concentration in the harvested grain. The Js399-19, tebuconazole, and the mixture of tebuconazole and thiram significantly reduced IIS of FHB, amount of Tri5 DNA, and total DON within the grain and increased TGW. Although azoxystrobin, carbendazim, and thiram can increase TGW, they had no effect on the occurrence of F. graminearum compared with those of the untreated controls. Surprisingly, azoxystrobin and carbendazim significantly increased the total DON content in the harvested grain because they might have stimulated the amount of total DON production per Tri5 DNA. The fungicides Js399-19, tebuconazole, and the mixture of tebuconazole and thiram were the most effective in controlling FHB and reducing DON contamination of the wheat.

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Effect of previous crop, tillage, field size, adjacent crop, and sampling direction on airborne propagules ofGibberella zeae/Fusarium graminearum, fusarium head blight severity, and deoxynivalenol accumulation in winter wheat

Canadian Journal of Plant Pathology ◽

10.1080/07060660509507219 ◽

2005 ◽

Vol 27 (2) ◽

pp. 217-224 ◽

Cited By ~ 65

Author(s):

A.W. Schaafsma ◽

L. Tamburic-Ilincic ◽

D.C. Hooker

Keyword(s):

Winter Wheat ◽

Fusarium Head Blight ◽

Fusarium Graminearum ◽

Field Size ◽

Head Blight ◽

Fusarium Head Blight Severity ◽

Previous Crop

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Improvement of Resistance of Wheat Cultivars to Fusarium Head Blight in the Yellow-Huai Rivers Valley Winter Wheat Zone with Functional Marker Selection of Fhb1 Gene

ACTA AGRONOMICA SINICA ◽

10.3724/sp.j.1006.2018.00505 ◽

2018 ◽

Vol 44 (4) ◽

pp. 505 ◽

Cited By ~ 5

Author(s):

Hong-Jun ZHANG ◽

Zhen-Qi SU ◽

Gui-Hua BAI ◽

Xu ZHANG ◽

Hong-Xiang MA ◽

...

Keyword(s):

Winter Wheat ◽

Fusarium Head Blight ◽

Functional Marker ◽

Wheat Cultivars ◽

Head Blight ◽

Marker Selection ◽

Selection Of

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Using UAV-Based Hyperspectral Imagery to Detect Winter Wheat Fusarium Head Blight

Remote Sensing ◽

10.3390/rs13153024 ◽

2021 ◽

Vol 13 (15) ◽

pp. 3024

Author(s):

Huiqin Ma ◽

Wenjiang Huang ◽

Yingying Dong ◽

Linyi Liu ◽

Anting Guo

Keyword(s):

Winter Wheat ◽

Fusarium Head Blight ◽

Hyperspectral Imagery ◽

Spectral Feature ◽

Support Vector ◽

Detection Accuracy ◽

Feature Combination ◽

Field Scale ◽

Head Blight ◽

Detection Model

Fusarium head blight (FHB) is a major winter wheat disease in China. The accurate and timely detection of wheat FHB is vital to scientific field management. By combining three types of spectral features, namely, spectral bands (SBs), vegetation indices (VIs), and wavelet features (WFs), in this study, we explore the potential of using hyperspectral imagery obtained from an unmanned aerial vehicle (UAV), to detect wheat FHB. First, during the wheat filling period, two UAV-based hyperspectral images were acquired. SBs, VIs, and WFs that were sensitive to wheat FHB were extracted and optimized from the two images. Subsequently, a field-scale wheat FHB detection model was formulated, based on the optimal spectral feature combination of SBs, VIs, and WFs (SBs + VIs + WFs), using a support vector machine. Two commonly used data normalization algorithms were utilized before the construction of the model. The single WFs, and the spectral feature combination of optimal SBs and VIs (SBs + VIs), were respectively used to formulate models for comparison and testing. The results showed that the detection model based on the normalized SBs + VIs + WFs, using min–max normalization algorithm, achieved the highest R2 of 0.88 and the lowest RMSE of 2.68% among the three models. Our results suggest that UAV-based hyperspectral imaging technology is promising for the field-scale detection of wheat FHB. Combining traditional SBs and VIs with WFs can improve the detection accuracy of wheat FHB effectively.

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Screening of Durum Wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) Italian Cultivars for Susceptibility to Fusarium Head Blight Incited by Fusarium graminearum

Plants ◽

10.3390/plants10010068 ◽

2020 ◽

Vol 10 (1) ◽

pp. 68

Author(s):

Gaetano Bentivenga ◽

Alfio Spina ◽

Karim Ammar ◽

Maria Allegra ◽

Santa Olga Cacciola

Keyword(s):

Durum Wheat ◽

Fusarium Head Blight ◽

Fusarium Graminearum ◽

Triticum Turgidum ◽

Disease Incidence ◽

Morphological Characteristics ◽

Pcr Amplification ◽

Conidial Suspension ◽

Head Blight ◽

Italian Origin

In 2009, a set of 35 cultivars of durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) of Italian origin was screened for fusarium head blight (FHB) susceptibility at CIMMYT (Mexico) and in the 2019–20 cropping season, 16 of these cultivars, which had been included in the Italian National Plant Variety Register, were tested again in southern and northern Italy. Wheat cultivars were artificially inoculated during anthesis with a conidial suspension of Fusarium graminearum sensu lato using a standard spray inoculation method. Inoculum was a mixture of mono-conidial isolates sourced in the same areas where the trials were performed. Isolates had been characterized on the basis of morphological characteristics and by DNA PCR amplification using a specific primer set and then selected for their virulence and ability to produce mycotoxins. The susceptibility to FHB was rated on the basis of the disease severity, disease incidence and FHB index. Almost all of the tested cultivars were susceptible or very susceptible to FHB with the only exception of “Duprì”, “Tiziana” and “Dylan” which proved to be moderately susceptible. The susceptibility to FHB was inversely correlated with the plant height and flowering biology, the tall and the late heading cultivars being less susceptible.

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

Phytopathology ◽

10.1094/phyto-100-2-0160 ◽

2010 ◽

Vol 100 (2) ◽

pp. 160-171 ◽

Cited By ~ 69

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.

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