Dynamics in concentrations of Blumeria graminis f. sp tritici conidia and its relationship to local weather conditions and disease index in wheat

Cao, Xueren; Duan, Xiayu; Zhou, Yilin; Luo, Yunbo

doi:10.1007/s10658-011-9898-8

Cited by 29 publications

(9 citation statements)

References 32 publications

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“…Moreover, pesticide can be hardly applied into the middle and lower layers by manual spraying, as a result, the conidia of wheat powdery mildew breaks out, conidiophores spread [2] , and the stable and high wheat yield is decreased. In the late growing stage, manual spraying is involved with difficult walking, high labor intensity, distinct waste of pesticide, and harm to the biological environment and the operators [3] .…”

Section: Introductionmentioning

confidence: 99%

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Qin¹,

Xue²,

Zhang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Small unmanned aerial vehicle (UAV), a timely and effective pesticide sprayer, can be used to spray pesticide in a high efficiency without harming the crop, and is especially suitable for spraying for small farms and hills in Asian countries. In recent years, it has been chosen as a key and new technique for pesticide application. This paper studied the impact of UAV (UAV N-3) spraying parameters (different working height and different spraying concentrations) on the deposition of droplets on the wheat canopy and the prevention of powdery mildew. Water sensitive paper was used as the sampler to collect the pesticide droplets and image processing software Deposit Scan was used to compute the coverage rate of droplets on the wheat top layer to acquire the proportional distribution of droplets on the wheat lower layer. The experimental results showed the impact of spraying height on the distribution of droplets on the wheat upper layer was quite significant, when the spraying height was 5.0 m and the spraying speed was 4 m/s, the coverage rate of droplets on the wheat lower layer was the largest, as it was 45.6% of that on the upper layer, the droplets distribution was the most uniform, and the coefficient of variation was 33.13%. 450 g/hm 2 (dosage registered) of triadimefon SC (44%) was sprayed by the UAV, the control efficiency reached 55.1% after applying which was better than 20% and 40% of dosage decreased for each hectare, and the applying effect (35.6%) of 20% dosage decreased for each hectare had no significant difference from the applying effect (34.6%) applied by a knapsack-type electric sprayer. At 10 d after applying, the prevention effect realized by UAV was lower than that realized by a knapsack-type electric sprayer, and it may be correlated to the meteorological condition and water amount in the pesticide sprayed. Thus, when UAV spraying was chosen to prevent wheat powdery mildew under a serious disease situation, an auxiliary agent for spraying could be added to prolong the retention of pesticide on the plant surface to extend the pesticide effect. This study can provide a reference for the optimized design, performance upgrade and reasonable application of small UAV sprayers. Keywords: unmanned aerial vehicle (UAV), spraying pesticide, parameters optimization, fungicide deposition, wheat powdery mildew, control effect DOI: 10.25165/j.ijabe.20181102.3157Citation: Qin W C, Xue X Y, Zhang S M, Gu W, Wang B K. Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew. Int J Agric & Biol Eng, 2018; 11(2): 27-32.

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Section: Introductionmentioning

confidence: 99%

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Qin¹,

Xue²,

Zhang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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“…In China, wheat powdery mildew occurs throughout the country. In recent years, increase in application nitrogen and planting density, as well as favourable conditions by irrigation, have led to widespread severe powdery mildew . Impacts of wheat powdery mildew are largely related to changes in the source of infection and phloem translocation .…”

Section: Introductionmentioning

confidence: 99%

Impacts of powdery mildew on wheat grain sugar metabolism and starch accumulation in developing grains

et al. 2014

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Powdery mildew (Blumeria graminis f. sp. tritici, Bgt) is a destructive disease responsible for yield reductions in wheat. In this study, we quantify the impacts on grain starch accumulation and yield of different wheat cultivars in response to powdery mildew under field conditions. A coupled spectrophotometer assay, enthrone colorimetric method, 2‐DE and MS/MS were used to analyse starch, total soluble sugars (TSS) and metabolic proteins, respectively. Results indicated that AM concentration increased significantly while AP and total starch concentrations decreased with the increase of powdery mildew severity. Powdery mildew suppressed the transformation of sugar to starch in wheat grains at the early infection stage, and there was insufficient substrate for starch synthesis in susceptible cultivars at the later infection stage. A proteomic analysis of metabolic protein showed that plastid α‐1,4‐glucan phosphorylase, sucrose synthase, β‐amylase and glyceraldehyde‐3‐phosphate dehydrogenase related to starch synthesis were all down regulated and hence starch production was accordingly suppressed. Powdery mildew stress appeared to influence expression of starch synthesis‐related enzymes, repressed transformation of sugar to starch, and then inhibited starch (especially AP) synthesis, leading to yield losses.

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“…However, due to data limitations, the characteristics of remote sensing in critical periods of disease infestation were only considered from a phenological perspective in this study. The occurrence, development, and dispersal of plant diseases are closely associated with local weather conditions [ 60 , 61 , 62 ]. The disease develops rapidly once the weather satisfies certain conditions and it is inhibited if the weather conditions are not suitable.…”

Section: Discussionmentioning

confidence: 99%

Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery

Jing

Huang

et al. 2018

Sensors

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Powdery mildew is one of the dominant diseases in winter wheat. The accurate monitoring of powdery mildew is important for crop management and production. Satellite-based remote sensing monitoring has been proven as an efficient tool for regional disease detection and monitoring. However, the information provided by single-date satellite scene is hard to achieve acceptable accuracy for powdery mildew disease, and incorporation of early period contextual information of winter wheat can improve this situation. In this study, a multi-temporal satellite data based powdery mildew detecting approach had been developed for regional disease mapping. Firstly, the Lansat-8 scenes that covered six winter wheat growth periods (expressed in chronological order as periods 1 to 6) were collected to calculate typical vegetation indices (VIs), which include disease water stress index (DSWI), optimized soil adjusted vegetation index (OSAVI), shortwave infrared water stress index (SIWSI), and triangular vegetation index (TVI). A multi-temporal VIs-based k-nearest neighbors (KNN) approach was then developed to produce the regional disease distribution. Meanwhile, a backward stepwise elimination method was used to confirm the optimal multi-temporal combination for KNN monitoring model. A classification and regression tree (CART) and back propagation neural networks (BPNN) approaches were used for comparison and validation of initial results. VIs of all periods except 1 and 3 provided the best multi-temporal data set for winter wheat powdery mildew monitoring. Compared with the traditional single-date (period 6) image, the multi-temporal images based KNN approach provided more disease information during the disease development, and had an accuracy of 84.6%. Meanwhile, the accuracy of the proposed approach had 11.5% and 3.8% higher than the multi-temporal images-based CART and BPNN models’, respectively. These results suggest that the use of satellite images for early critical disease infection periods is essential for improving the accuracy of monitoring models. Additionally, satellite imagery also assists in monitoring powdery mildew in late wheat growth periods.

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Dynamics in concentrations of Blumeria graminis f. sp tritici conidia and its relationship to local weather conditions and disease index in wheat

Cited by 29 publications

References 32 publications

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Droplet deposition and efficiency of fungicides sprayed with small UAV against wheat powdery mildew

Impacts of powdery mildew on wheat grain sugar metabolism and starch accumulation in developing grains

Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery

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