Low-cost yellow sticky traps against greenhouse whitefly Trialeurodes vaporariorum (westwood) in tomato under polyhouse

AbstractThe placement of yellow sticky traps in relation to greenhouse-grown tomato plants affected the number of greenhouse whiteflies captured on traps. Whiteflies were caught on traps close to the ground when the traps were 1.0 m or more from plants, and were caught on traps level with the point from which they started flight when the traps were 0.5 m from plants. Traps 1.0 m from plants primarily caught whiteflies less than 5 days old, and trap catches were not correlated with numbers on plants; traps 0.5 m from plants caught whiteflies of all ages, and trap catches were correlated with numbers on plants. These results suggest that under field conditions greenhouse whiteflies would behave much like other species of whitefly, and would tend to be caught on traps close to the ground. In greenhouses, monitoring traps should be placed close to and slightly below the tops of the plants. Trap counts could be treated as samples from individual plants and used to make an estimate of population size in the greenhouse. Traps placed further from the plants monitor flight activity only.

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CONTROL OF GREENHOUSE WHITEFLY (TRIALEURODES VAPORARIORUM) USING DELPHASTUS PUSILLUS AND AZATIN, A BOTANICAL INSECTICIDE

HortScience ◽

10.21273/hortsci.30.2.189c ◽

1995 ◽

Vol 30 (2) ◽

pp. 189c-189

Author(s):

Marie E. Maiuro

Keyword(s):

Growth Regulator ◽

Control Method ◽

Trialeurodes Vaporariorum ◽

Botanical Insecticide ◽

Greenhouse Whitefly ◽

Sticky Traps ◽

Yellow Sticky Traps

Fifty greenhouse whitefly (Trialeurodes) were placed in each of 10, one-meter square nylon chiffon cages containing nine regal geraniums in 6-inch pots. After allowing the whitefly to reproduce for 2 weeks, the treatments tested were Delphastus pusillus alone, Azatin sprays alone, D. pusillus and Azatin together, and no control method. Two repetitions for each treatment were conducted. The Azatin, 14 oz/100 gallons, and a spreader/sticker were applied weekly with a mist sprayer. Delphastus pusillus, nine per cage, were released every 2 weeks. Sampling was conducted weekly by placing yellow sticky traps into each box for a 24-hour period, then counting the number of adults caught. All treatments gave statistically significant fewer whitefly than the cages with no control method. The cages with Azatin and/or D. pusillus were not statistically different from each other. Results indicate that D. pusillus can control whitefly as well as a growth regulator/botanical insecticide.

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Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps

Scientific Reports ◽

10.1038/s41598-021-89930-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Elias Böckmann ◽

Alexander Pfaff ◽

Michael Schirrmann ◽

Michael Pflanz

Keyword(s):

Natural Enemies ◽

Low Cost ◽

Model Performance ◽

Trialeurodes Vaporariorum ◽

Time Saving ◽

Sticky Traps ◽

Visual Words ◽

Species Mixture ◽

Model Training ◽

Yellow Sticky Traps

AbstractWhile insect monitoring is a prerequisite for precise decision-making regarding integrated pest management (IPM), it is time- and cost-intensive. Low-cost, time-saving and easy-to-operate tools for automated monitoring will therefore play a key role in increased acceptance and application of IPM in practice. In this study, we tested the differentiation of two whitefly species and their natural enemies trapped on yellow sticky traps (YSTs) via image processing approaches under practical conditions. Using the bag of visual words (BoVW) algorithm, accurate differentiation between both natural enemies and the Trialeurodes vaporariorum and Bemisia tabaci species was possible, whereas the procedure for B. tabaci could not be used to differentiate this species from T. vaporariorum. The decay of species was considered using fresh and aged catches of all the species on the YSTs, and different pooling scenarios were applied to enhance model performance. The best performance was reached when fresh and aged individuals were used together and the whitefly species were pooled into one category for model training. With an independent dataset consisting of photos from the YSTs that were placed in greenhouses and consequently with a naturally occurring species mixture as the background, a differentiation rate of more than 85% was reached for natural enemies and whiteflies.

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