Monitoring of brown stink bug (Hemiptera: Pentatomidae) population dynamics in corn to predict its abundance using weather data

Ni, Xinzhi; Cottrell, Ted E.; Buntin, G. David; Li, Xianchun; Wang, Wei; Zhuang, Hong

doi:10.1111/1744-7917.12545

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…This system has been used in several studies that document abundance and movement of these Euschistus spp. in the southeastern USA (Cottrell et al 2000;Cowell et al 2015;Ni et al 2019).…”

Section: Samplingmentioning

confidence: 99%

Spatiotemporal Distribution of Stink Bugs (Hemiptera: Pentatomidae) in Peach Orchards and Surrounding Habitat

Grabarczyk

Olson

Tillman

et al. 2021

Florida Entomologist

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“…This system has been used in several studies that document abundance and movement of these Euschistus spp. in the southeastern USA (Cottrell et al 2000;Cowell et al 2015;Ni et al 2019).…”

Section: Samplingmentioning

confidence: 99%

Spatiotemporal Distribution of Stink Bugs (Hemiptera: Pentatomidae) in Peach Orchards and Surrounding Habitat

Grabarczyk

Olson

Tillman

et al. 2021

Florida Entomologist

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Ultrasonic sensor for monitoring corn growth based on Raspberry Pi

Latifah

Ramdhani

Nasrulloh

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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For measuring plant height, an automated system as an indicator in the growing plant has developed in a modified micro propagation system. In the agricultural sector, there is some kind of work that needs monitoring, especially on corn. The monitoring will be used starting from the height measurement of plant manually or physical documentation condition from a plant using human resources. To capture and deliver the data by the farmer manually done and has to be informed quickly, then data from the farmer will be delivered to The Coordinator of Farmer. There is always occurred a problem with providing the data manually, more time is needed, and the accuracy of data not good enough. Because of this case, there is a required technology that can help this kind of work. The ultrasonic sensor as an electronic component is being used for the height of corn plant measurement automatically under the Raspberry Pi controller. The component work is being controlled by Raspberry Pi for how the system is working and deliver the data. The process of transmitting data will use Local Area Network (LAN) on the same IP Address. The monitoring results can be used as a reference regarding the health of the plant being monitored. This system can monitor the growth of corn, whether healthy or there is a problem, so that countermeasures can be taken more quickly and precisely.

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Kudzu Bug (Megacopta cribraria) and Associated Egg Parasitoids Emergence Rates in Alabama are Predicted by Weather Indices

Chicas‐Mosier

Balusu

Ajayi

et al. 2022

Environmental Entomology

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The kudzu bug, Megacopta cribraria (Fabricius) (Hemiptera: Plataspidae), is a major economic pest of soybean in the southeastern United States. With climate warming, this pest is expected to move northward and cause additional crop damage. Parasitoid biocontrol is a potential method of integrated pest management for kudzu bug. Two species of egg parasitoid wasps have been observed emerging from kudzu bug egg masses in the southeastern United States: Paratelenomus saccharalis (Dodd) (Hymenoptera: Platygastridae) and Ooencyrtus nezarae (Ishii) (Hymenoptera: Encyrtidae). This paper used egg mass emergence data collected between 2018 and 2020 in Alabama soybean fields and compared the data to weather indices. Indices included the number of days with minimum temperatures below zero, accumulated rainfall (mm m−2), as well as species specific metrics of accumulated growing degree days, accumulated daily minimum temperature (°C), and accumulated daily maximum temperature (°C). Emergence of the generalist parasitoid, O. nezarae, was highly correlated with kudzu bug nymph abundance, accumulated degree day, accumulated daily temperatures, and precipitation. Ooencyrtus nezarae emergence was predicted in a stepwise regression equation by aggregated degree day and date of collection, which indicates that seasonality may be a predictor of its presence. In contrast, collections of the specialist parasitoid, P. saccharalis, were near-zero throughout the collection period, suggesting that this species may no longer be a usable biocontrol agent in the southeastern United States as a result of external limiting factors.

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Monitoring of brown stink bug (Hemiptera: Pentatomidae) population dynamics in corn to predict its abundance using weather data

Cited by 4 publications

References 27 publications

Spatiotemporal Distribution of Stink Bugs (Hemiptera: Pentatomidae) in Peach Orchards and Surrounding Habitat

Spatiotemporal Distribution of Stink Bugs (Hemiptera: Pentatomidae) in Peach Orchards and Surrounding Habitat

Ultrasonic sensor for monitoring corn growth based on Raspberry Pi

Kudzu Bug (Megacopta cribraria) and Associated Egg Parasitoids Emergence Rates in Alabama are Predicted by Weather Indices

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