Spatial and temporal analysis of wheat bulb fly (Delia coarctata, Fallén) oviposition: consequences for pest population monitoring

Rogers, Craig D.; Guimarães, Rachel Muylaert Locks; Evans, K. E.; Rogers, SW

doi:10.1007/s10340-014-0589-z

Cited by 9 publications

(10 citation statements)

References 48 publications

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“…Geostatistical analysis may be applied to investigate the spatial distribution of a crop pest and predict its spread during cultivation. This analysis is a technique for understanding the spatial dynamics of insects and is considered reliable because it incorporates the geographic location of the samples …”

Section: Introductionmentioning

confidence: 99%

“…This analysis is a technique for understanding the spatial dynamics of insects and is considered reliable because it incorporates the geographic location of the samples. 23,24 Geostatistics enables the degree of dependence among samples in space to be measured using semivariance and permits inferences about the spatial distribution patterns of insect pests. 25,26 Thus, sampling and control efforts can be focused according to the degree of dependence.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the spatial distribution of Tuta absoluta (Lepidoptera: Gelechiidae) eggs in open‐field tomato cultivation through geostatistical analysis

Martins

Picanço

Silva

et al. 2017

Pest Management Science

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Our results indicate that the greatest egg densities of T. absoluta occur at the edges of tomato crops. These results are discussed in relation to the behavior of T. absoluta distribution within fields and in terms of their implications for improved sampling guidelines and precision targeting control methods that are essential for effective pest monitoring and management. © 2017 Society of Chemical Industry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing the spatial distribution of Tuta absoluta (Lepidoptera: Gelechiidae) eggs in open‐field tomato cultivation through geostatistical analysis

Martins

Picanço

Silva

et al. 2017

Pest Management Science

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“…However, they are not representative of the density distribution of these organisms in space, as they are based on the relationship between the variance and the mean, irrespective of where the samples are located (Binns et al ., 2000). One suitable option is to use geostatistics in the spatial distribution studies of pests, which incorporates the geographic location of the samples (Rijal et al , 2014; Rogers et al , 2014).…”

Section: Introductionmentioning

confidence: 99%

Geostatistics as a tool to study mite dispersion in physic nut plantations

Rosado

Picanço

Sarmento

et al. 2015

Bull. Entomol. Res.

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Spatial distribution studies in pest management identify the locations where pest attacks on crops are most severe, enabling us to understand and predict the movement of such pests. Studies on the spatial distribution of two mite species, however, are rather scarce. The mites Polyphagotarsonemus latus and Tetranychus bastosi are the major pests affecting physic nut plantations (Jatropha curcas). Therefore, the objective of this study was to measure the spatial distributions of P. latus and T. bastosi in the physic nut plantations. Mite densities were monitored over 2 years in two different plantations. Sample locations were georeferenced. The experimental data were analyzed using geostatistical analyses. The total mite density was found to be higher when only one species was present (T. bastosi). When both the mite species were found in the same plantation, their peak densities occurred at different times. These mites, however, exhibited uniform spatial distribution when found at extreme densities (low or high). However, the mites showed an aggregated distribution in intermediate densities. Mite spatial distribution models were isotropic. Mite colonization commenced at the periphery of the areas under study, whereas the high-density patches extended until they reached 30 m in diameter. This has not been reported for J. curcas plants before.

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“…Delia coarctata larva infest cereal shoots between January and April, where they can cause devastating crop damage resulting in yield losses of up to 4 t ha -1 (Rogers et al, 2014). Depending on the sowing date, current thresholds indicate that a pest pressure of 250 eggs m -2 can cause significant crop damage for crops drilled before October, with a pressure of 100 eggs m -2 causing significant crop damage for crops drilled from November (Gough, 1961).…”

Section: Discussionmentioning

confidence: 99%

“…1) when larvae infest the developing shoots of cereal crops, causing shoot discolouration and stunting (‘deadhearts’). Economic damage can vary between years, reaching 4 t h -1 in years of significant infestation (Rogers et al, 2014). D coarctata larvae feed until late spring before pupating at the base of the plant, upon emergence adult D. coarctata feed on saprophytic fungi present on plant tissue (Jones, 1970) and reproduce before migrating to adjacent fields where oviposition occurs on the bare soil (Bardner et a., 1977).…”

Section: Introductionmentioning

confidence: 99%

Development of a pest threshold decision support system for minimising damage to winter wheat from wheat bulb fly,Delia coarctata

Leybourne

Storer

Berry

et al. 2021

Preprint

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Wheat bulb fly, Delia coarctata, is an important pest of winter wheat in the UK, causing significant damage of up to 4 t ha-1. Accepted population thresholds for D. coarctata are 250 eggs m-2 for crops sown up to the end of October and 100 eggs m-2 for crops sown from November. Fields with populations of D. coarctata that exceed the thresholds are at higher risk of experiencing economically damaging pest infestations. In the UK, recent withdrawal of insecticides means that only a seed treatment is available for chemical control of D. coarctata, however this is only effective for late-sown crops (November onwards) and accurate estimations of annual population levels are required to ensure a seed treatment is applied if needed. As a result of the lack of post-drilling control strategies, the management of D. coarctata is becoming increasingly reliant on non-chemical methods of control. Control strategies that are effective in managing similar stem-boring pests of wheat include sowing earlier and using higher seed rates to produce crops with more shoots and greater tolerance to shoot damage. In this study we develop two predictive models that can be used for integrated D. coarctata management. The first is an updated pest level prediction model that predicts D. coarctata populations from meteorological parameters with a predictive accuracy of 70%, which represents a significant improvement on the previous D. coarctata population prediction model. Our second model predicts the maximum number of shoots for a winter wheat crop that would be expected at the terminal spikelet development stage. This shoot number model uses information about the thermal time from plant emergence to terminal spikelet, leaf phyllochron length, plant population, and sowing date to predict the degree of tolerance a crop will have against D. coarctata. The shoot number model was calibrated against data collected from five field experiments and tested against data from four experiments. Model testing demonstrated that the shoot number model has a predictive accuracy of 70%. A decision support system using these two models for the sustainable management of D. coarctata risk is described.

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Spatial and temporal analysis of wheat bulb fly (Delia coarctata, Fallén) oviposition: consequences for pest population monitoring

Cited by 9 publications

References 48 publications

Assessing the spatial distribution of Tuta absoluta (Lepidoptera: Gelechiidae) eggs in open‐field tomato cultivation through geostatistical analysis

Assessing the spatial distribution of Tuta absoluta (Lepidoptera: Gelechiidae) eggs in open‐field tomato cultivation through geostatistical analysis

Geostatistics as a tool to study mite dispersion in physic nut plantations

Development of a pest threshold decision support system for minimising damage to winter wheat from wheat bulb fly,Delia coarctata

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