Relationship between the Spray Droplet Density of Two Protectant Fungicides and the Germination of<i>Mycosphaerella fijiensis</i>Ascospores on Banana Leaf Surfaces

Washington, J. R.

doi:10.1002/(sici)1096-9063(199707)50:3<233::aid-ps562>3.0.co;2-v

Cited by 21 publications

(3 citation statements)

References 8 publications

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“…In the laboratory, Maczuga and Mierzejewski [39] found that several spray deposits of 5-10 points/cm 2 on foliage after spraying were effective (90% mortality) against second and third instars. Washington et al [40] investigated the effect of fungicide spray number of spray deposits (points/cm 2 ), droplet size and proximity of the spray deposits to fungal spores on the banana leaf surface. The test results suggest that the inhibition zones of two contact fungicides on the leaf surface extend beyond the visible edge of the spray droplet deposit and a mean droplet deposit density of 30 points/cm 2 can inhibit the germination of the ascospore below 1%.…”

Section: Datmentioning

confidence: 99%

Comparison of Spray Deposition, Control Efficacy on Wheat Aphids and Working Efficiency in the Wheat Field of the Unmanned Aerial Vehicle with Boom Sprayer and Two Conventional Knapsack Sprayers

et al. 2019

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As a new low volume application technology, unmanned aerial vehicle (UAV) application is developing quickly in China. The aim of this study was to compare the droplet deposition, control efficacy and working efficiency of a six-rotor UAV with a self-propelled boom sprayer and two conventional knapsack sprayers on the wheat crop. The total deposition of UAV and other sprayers were not statistically significant, but significantly lower for run-off. The deposition uniformity and droplets penetrability of the UAV were poor. The deposition variation coefficient of the UAV was 87.2%, which was higher than the boom sprayer of 31.2%. The deposition on the third top leaf was only 50.0% compared to the boom sprayer. The area of coverage of the UAV was 2.2% under the spray volume of 10 L/ha. The control efficacy on wheat aphids of UAV was 70.9%, which was comparable to other sprayers. The working efficiency of UAV was 4.11 ha/h, which was roughly 1.7–20.0 times higher than the three other sprayers. Comparable control efficacy results suggest that UAV application could be a viable strategy to control pests with higher efficiency. Further improvement on deposition uniformity and penetrability are needed.

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Section: Datmentioning

confidence: 99%

Comparison of Spray Deposition, Control Efficacy on Wheat Aphids and Working Efficiency in the Wheat Field of the Unmanned Aerial Vehicle with Boom Sprayer and Two Conventional Knapsack Sprayers

et al. 2019

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“…The impact of the droplet density of fungicides on their effectiveness is different from that of insecticides. Systemic fungicides do not require a higher droplet density, but protective fungicides require a certain droplet density to exert good effectiveness, and the droplet density is positively correlated with their effectiveness. − Kong et al proposed the concept of the inhibited medium density (EN 50 ) of fungicides and found that when spraying propiconazole and kresoxim-methyl, the droplets did not need to cover all of the leaves to achieve good control effects . The mode of action of herbicides on weeds can be divided into contact herbicides and systemic herbicides.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Droplet Density and the Defoliation Effect of Cotton Harvest Aids

Duan,

Fang,

Dou

et al. 2024

ACS Omega

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Spraying harvesting aids is an important step before the mechanical harvesting of cotton. To clarify the direct relationship between the droplet density and the defoliation effect of cotton harvest aid solutions, we evaluated the relationship between the droplet density and the defoliation effect. The determination method and evaluation standard of the number of droplets required per square centimeter to achieve 50% leaves defoliation (DN 50 ) of the harvest aid solution were further explored. The results revealed a linear relationship between the droplet density and the cotton defoliation rate when the spraying volume was 22.5 L/ha and the harvest aid dosage was 1/2 and 2/3 of the recommended dosage. When the harvest aid dosage was 5/6 and 1 times the recommended dosage, the relationship between the droplet density and the defoliation rate of cotton was logarithmic. The DN 50 of the low-concentration harvest aid solution (450 L/ha) was significantly higher than that of the high-concentration solution (22.5 L/ ha). The addition of spray adjuvant Beidatong significantly reduced the DN 50 of cotton harvest aids. The field experiment showed that the droplet density increased with the increase of the spraying volume sprayed by unmanned aerial vehicles. There was a positive correlation between the spraying volume and the defoliation effect after changes in the cotton harvest aid dosage. When the dosage of Mianhai (MH) was 5/6 of the recommended dosage, the defoliation effect at the spraying volumes of 22.5, 27.0, and 30.0 L/ha reached the peak values at 71.54, 78.56, and 83.23%, respectively. This study proposed the concept of DN 50 and its determination method. The fitting equations between the droplet density and defoliation effect and between the harvest aid concentration and defoliation effect were established to provide a theoretical basis for the scientific spraying of cotton harvest aid solutions.

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“…This conclusion negates the possibility of blindly increasing the dosage to improve the prevention and control effect. Washington [18] indicated that the linkage change of the spray coverage density can be realized by controlling the volume median diameter (VMD) of droplets so as to obtain the optimal control effect of diseases and pests. The size directly affects the adhesion, slippage or drift of pesticide droplets, which are important indicators to measure the quality of spray [19,20].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Droplet Size Distribution in Plant Protection Spray Based on Machine Learning Method

et al. 2022

Water

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Spray droplet size is the main factor affecting the deposition uniformity on a target crop. Studying the influence of multiple factors on the droplet size distribution as well as the evaluation method is of great significance for improving the utilization of pesticides. In this paper, volume median diameter (VMD) and relative span (RS) were selected to evaluate the droplet size distribution under different hollow cone nozzles, flow rates and spatial positions, and the quantitative models of VMD and RS were established based on machine learning methods. The results showed that support vector regression (SVR) had excellent results for VMD (Rc = 0.9974, Rp = 0.9929), while multi-layer perceptron (MLP) had the best effect for RS (Rc = 0.9504, Rp = 0.9537). The correlation coefficient of the prediction set is higher than 0.95, showing the excellent ability of machine learning on predicting the droplet size distribution. In addition, the visualization images of the droplet size distribution were obtained based on the optimal models, which provided intuitive guidance for realizing the uniform distribution of pesticide deposition. In conclusion, this study provides a novel and feasible method for quantitative evaluation of droplet size distribution and offers a theoretical basis for further determining appropriate operation parameters according to the optimal droplet size.

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Relationship between the Spray Droplet Density of Two Protectant Fungicides and the Germination ofMycosphaerella fijiensisAscospores on Banana Leaf Surfaces

Cited by 21 publications

References 8 publications

Comparison of Spray Deposition, Control Efficacy on Wheat Aphids and Working Efficiency in the Wheat Field of the Unmanned Aerial Vehicle with Boom Sprayer and Two Conventional Knapsack Sprayers

Comparison of Spray Deposition, Control Efficacy on Wheat Aphids and Working Efficiency in the Wheat Field of the Unmanned Aerial Vehicle with Boom Sprayer and Two Conventional Knapsack Sprayers

The Relationship between Droplet Density and the Defoliation Effect of Cotton Harvest Aids

Quantitative Analysis of Droplet Size Distribution in Plant Protection Spray Based on Machine Learning Method

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