A delay differential equation model of mealybugs and green lacewings

Jankaew, Kittipol; Rattanakul, Chontita; Sarika, Warunee

doi:10.1186/s13662-019-2226-x

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…The arthropod pests that are molecularly identi ed in this study, Aleurodicus disperses, Bemisia tabaci, Ferrisia virgata, Maconellicoccus hirsutus, Paracoccus marginatus, Parasaissetia nigra, and Pseudaulacaspis pentagona are species known to be economically important pests of cassava, causing signi cant damage to the crop by feeding on its tissues and transmitting viral diseases. Mealybugs are a leading cassava pest, causing global economic damage to the crop (Jankaew et al, 2019;Rauwane et al, 2018). Ferrisia virgata, M. hirsutus, Pa. marginatus are problematic to differentiate; hence, DNA barcoding of these species is still essential to correctly identify the pests in the eld.…”

Section: Discussionmentioning

confidence: 99%

Molecular Identification of Cassava Arthropod Pest Complex in the Philippines

Guerrero,

Laquinta,

Ardez

et al. 2024

Preprint

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Cassava productivity is severely affected by arthropod pests, which cause damage through feeding and vector transmission. The complex nature of these pests, with morphologically similar species and small sizes, presents challenges in accurately identifying and implementing effective control measures. Accurate identification of arthropod pests infesting cassava in the field is crucial for successful pest management and mitigating the risk of introducing exotic pests through cassava trade and changing climate conditions. Thus, we employed DNA barcoding to generate genetic barcodes of the cassava arthropod pest complex found in major cassava growing areas in the Philippines. Identification to species level was achieved using molecular works with prior morphological identification. Molecular identification offers accurate species resolution of the cassava pest complex even at immature stages, typically hard to identify.

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Section: Discussionmentioning

confidence: 99%

Molecular Identification of Cassava Arthropod Pest Complex in the Philippines

Guerrero,

Laquinta,

Ardez

et al. 2024

Preprint

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“…In order to reduce CM populations in Thailand, green lacewings were introduced as their larvae can destroy over 100 mealybugs in a week by sucking fluids from their soft bodies. (Jankaew et al 2019). To study lacewings effect on CM population numbers Promrak et al (2016) developed a predator-prey model where lacewings were released continuously and periodically finding that if enough CM enemies are introduced, good control is achieved, whether lacewings are released continuously or periodically.…”

Section: Biocontrolmentioning

confidence: 99%

“…Considering a mathematical model of delayed differential equations, (Jankaew et al 2019 ) simulated the population dynamics of CM and green lacewings showing that the time delay in the reproduction of green lacewing larvae played an important role in controlling the mealybugs population. Thus, if the time delay is correct, the reproduction rate of lacewings can control the population of CM to acceptable levels but if the delay is larger than a found critical value the CM population oscillates within a given range and can also exhibit a chaotic behaviour.…”

Section: Modelling Approaches For the Surveillance Detection And Cont...mentioning

confidence: 99%

Modelling cassava production and pest management under biotic and abiotic constraints

et al. 2021

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Key message We summarise modelling studies of the most economically important cassava diseases and arthropods, highlighting research gaps where modelling can contribute to the better management of these in the areas of surveillance, control, and host-pest dynamics understanding the effects of climate change and future challenges in modelling. Abstract For over 30 years, experimental and theoretical studies have sought to better understand the epidemiology of cassava diseases and arthropods that affect production and lead to considerable yield loss, to detect and control them more effectively. In this review, we consider the contribution of modelling studies to that understanding. We summarise studies of the most economically important cassava pests, including cassava mosaic disease, cassava brown streak disease, the cassava mealybug, and the cassava green mite. We focus on conceptual models of system dynamics rather than statistical methods. Through our analysis we identified areas where modelling has contributed and areas where modelling can improve and further contribute. Firstly, we identify research challenges in the modelling developed for the surveillance, detection and control of cassava pests, and propose approaches to overcome these. We then look at the contributions that modelling has accomplished in the understanding of the interaction and dynamics of cassava and its’ pests, highlighting success stories and areas where improvement is needed. Thirdly, we look at the possibility that novel modelling applications can achieve to provide insights into the impacts and uncertainties of climate change. Finally, we identify research gaps, challenges, and opportunities where modelling can develop and contribute for the management of cassava pests, highlighting the recent advances in understanding molecular mechanisms of plant defence.

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A delay differential equation model of mealybugs and green lacewings

Cited by 2 publications

References 9 publications

Molecular Identification of Cassava Arthropod Pest Complex in the Philippines

Molecular Identification of Cassava Arthropod Pest Complex in the Philippines

Modelling cassava production and pest management under biotic and abiotic constraints

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