Degree-day based phenological forecasting model of saddle gall midge ( Haplodiplosis marginata ) (Diptera: Cecidomyiidae) emergence

Rowley, Charlotte; Leather, Simon R.; Pope, Tom W.

doi:10.1016/j.cropro.2017.08.025

Cited by 6 publications

(10 citation statements)

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“…Models for H. marginata control have primarily been developed to predict adult emergence (Rowley et al 2017(Rowley et al , 2016, as this is the life-stage most effectively controlled with insecticides. Incorporation of rainfall into the model significantly increased predictive accuracy (Rowley et al 2016), and the most robust model uses the date of first rainfall (falling on or after 1st March) as the start date and estimates that adult emergence will occur after 512-degree days above 0 °C (Rowley et al 2017). Testing of this model at ten sites across three seasons predicted adult emergence within 4 days (Rowley et al 2017).…”

Section: Overview Of Current Predictive Models That Can Help Estimate...mentioning

confidence: 99%

“…Incorporation of rainfall into the model significantly increased predictive accuracy (Rowley et al 2016), and the most robust model uses the date of first rainfall (falling on or after 1st March) as the start date and estimates that adult emergence will occur after 512-degree days above 0 °C (Rowley et al 2017). Testing of this model at ten sites across three seasons predicted adult emergence within 4 days (Rowley et al 2017).…”

Section: Overview Of Current Predictive Models That Can Help Estimate...mentioning

confidence: 99%

“…As with S. mosellana, we suggest that a focal area for future H. marginata research should be to combine a crop development model with the H. marginata simulation models (Rowley et al 2017(Rowley et al , 2016 to develop an integrated system that can predict H. marginata emergence and estimate the likelihood of this co-occurring with the at-risk wheat growth stage, thereby minimising monitoring effort. Monitoring effort could be minimised further by continued development, testing, and validation of H. marginata pheromone traps (Rowley et al 2018;Censier et al 2016b).…”

Section: Proposed Areas For Improvement and Future Developmentmentioning

confidence: 99%

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Thresholds and prediction models to support the sustainable management of herbivorous insects in wheat. A review

Leybourne,

Storer,

Marshall

et al. 2024

Agron. Sustain. Dev.

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Wheat is one of the most important arable crops grown worldwide, providing a significant proportion of the daily calorific intake for countries across the globe. Wheat crops are attacked by a diverse range of herbivorous invertebrates, pests, that cause significant yield loss. It is anticipated that yield loss caused by pests will increase in response to a changing climate. Currently, these pests are primarily controlled using pesticides; however, there is an increased need for more sustainable pest management solutions. Economic thresholds represent one avenue that can support the sustainable management of pests. Briefly, thresholds are the number of pests above which there is sufficient risk of yield loss. Here, we review the economic thresholds and prediction methods available for sustainable pest management in wheat. We focus on five economically damaging pests affecting wheat crops in the UK and Europe. For each, we highlight the key period of crop risk to pest attack, identify economic thresholds, and provide an overview of current decision support models that can help estimate crop risk and advise sustainable pest management; we end by proposing areas for future improvement for each pest. Furthermore, we take a novel approach by discussing economic thresholds and their applications to sustainable pest management within the context of crop physiology and the capacity for crops to tolerate pest damage, a consideration that is often overlooked when developing pest management strategies. We use the stem-boring pest, the gout fly, as a case study and use the economic injury level equation to conduct a theoretical assessment of the appropriateness of the current gout fly threshold. This theoretical assessment indicates that wheat crops can tolerate greater gout fly damage than currently considered, and shows that by incorporating crop physiology into sustainable pest tolerance schemes we can work towards developing more appropriate physiological-based pest thresholds.

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Section: Overview Of Current Predictive Models That Can Help Estimate...mentioning

confidence: 99%

Section: Overview Of Current Predictive Models That Can Help Estimate...mentioning

confidence: 99%

Section: Proposed Areas For Improvement and Future Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Thresholds and prediction models to support the sustainable management of herbivorous insects in wheat. A review

Leybourne,

Storer,

Marshall

et al. 2024

Agron. Sustain. Dev.

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“…Temperature and daylength are two main environmental factors that influence these biological parameters [19]. The low temperature threshold (temperature below which no measurable development takes place) and thermal constant (the number of degree-days above the lower threshold temperature for completion of development) are the two most important thermal parameters that determine how the temperature affects the developmental rate of ectotherms [5,20] and help predict pest phenology [21,22]. Many studies show that both temperature and daylength affect survival and development of cecidomyiid species [23-35] although daylength does not appear to have any effect on these parameters in several cecidomyiid species [26,29].…”

Section: Introductionmentioning

confidence: 99%

Temperature but Not Photoperiod Can Predict Development and Survival of an Invasive Apple Pest

He¹,

Wang²

2023

Preprint

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The apple leaf-curling midge, Dasineura mali Kieffer (Diptera: Cecidomyiidae), is an invasive pest of apple. To provide crucial information for its pest risk analysis, forecast and management, we investigated the effects of temperatures (5, 10, 15, 20 and 25°C) and daylengths (10, 11, 12, 13, 14 and 15 hrs) on its development and survival. The midge could not complete its development at 10°C or lower. After transferred from 20°C to 10°C, mature larvae could survive for about two months and develop to adults. Pupation and emergence rates were significantly higher at 20°C than at 10°C and 25°C. Daylength had no effect on these parameters. The low temperature threshold and thermal requirement to complete development from eggs to adults were 3.7°C and 627 degree-days, respectively. The midge had significantly lower thermal requirement for completion of its lifecycle at 20°C (614.5 degree-days) than at 15°C (650.1 degree-days) and 25°C (634.8 degree-days). The thermal model developed in this study provided accurate predictions of the number of D. mali generations and adult emergence time in each generation in different regions of New Zealand. We suggest that the model could be used to predict population dynamics of this pest in other parts of the world.

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“…Under optimal thermal conditions insects can complete their development with a high survival rate, but under extreme conditions such as high or low temperatures, they can have a high mortality rate and fail to complete a lifecycle [ 19 , 20 ]. The low temperature threshold (temperature below which no measurable development takes place) and thermal constant (the number of degree-days above the lower threshold temperature for the completion of development) are the two most important thermal parameters that determine how the temperature affects the developmental rate of ectotherms [ 5 , 21 ] and help predict pest phenology [ 22 , 23 ]. Some studies show that both temperature and photoperiod affect survival and development of cecidomyiid species [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Temperature but Not Photoperiod Can Predict Development and Survival of an Invasive Apple Pest

Wang

2023

Insects

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The apple leaf-curling midge, Dasineura mali Kieffer (Diptera: Cecidomyiidae), is an invasive pest of apple, and can contaminate fresh fruit for export, causing biosecurity problems. To provide crucial information for its pest risk analysis, forecast, and management, we investigated the effects of temperatures (5, 10, 15, 20 and 25 °C) and daylengths (10, 11, 12, 13, 14 and 15 h) on its development and survival. The midge eggs failed to hatch at 5 °C and larvae could not complete development at 10 °C. Pupation and emergence rates were significantly higher at 20 °C than at 15 °C and 25 °C. Daylength had no effect on these parameters. The low temperature threshold and thermal requirement to complete development from eggs to adults were 3.7 °C and 627 degree-days, respectively. The midge had a significantly lower thermal requirement for the completion of its lifecycle at 20 °C (614.5 degree-days) than at 15 °C (650.1 degree-days) and 25 °C (634.8 degree-days). The thermal model developed in this study provided accurate predictions of the number of D. mali generations and adult emergence time in each generation in different regions of New Zealand. We suggest that the model could be used to predict population dynamics of this pest in other parts of the world.

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Degree-day based phenological forecasting model of saddle gall midge ( Haplodiplosis marginata ) (Diptera: Cecidomyiidae) emergence

Abstract: Degree-day based phenological forecasting model of saddle gall midge (Haplodiplosis marginata)

Cited by 6 publications

References 44 publications

Thresholds and prediction models to support the sustainable management of herbivorous insects in wheat. A review

Thresholds and prediction models to support the sustainable management of herbivorous insects in wheat. A review

Temperature but Not Photoperiod Can Predict Development and Survival of an Invasive Apple Pest

Temperature but Not Photoperiod Can Predict Development and Survival of an Invasive Apple Pest

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