Roger Duncan Magarey

Integrated Pest Management Data for Regulation, Research, and Education: Crop Profiles and Pest Management Strategic Plans

JOURNAL OF INTEGRATED PEST MANAGEMENT, 13(1).

Correction: Information: a missing component in understanding and mitigating social epidemics

Humanities and Social Sciences Communications.

Probabilistic risk-based model for the assessment of Phyllosticta citricarpa-infected citrus fruit and illicit plant material as pathways for pathogen introduction and establishment

CROP PROTECTION, 142.

Geospatial Analytics for Plant Disease Management

In J. B. Ristaino & A. Records (Eds.), Emerging Plant Diseases and Global Food Security (pp. 221–237).

Information: a missing component in understanding and mitigating social epidemics

Humanities and Social Sciences Communications, 7(1).

Comparing Growth Stage and Forecasting Model Based Fungicide Application to Manage Phomopsis Stem Canker of Sunflower (Helianthus annuus)

Presented at the ASA, CSSA and SSSA International Annual Meetings.

Eco-efficiency as a strategy for optimizing the sustainability of pest management

PEST MANAGEMENT SCIENCE, 75(12), 3129–3134.

Growth stage vs. forecasting model based fungicide application to manage Phomopsis stem canker of sunflower (Helianthus annuus

Presented at the Plant Health: APS Annual Meeting, Cleveland, Ohio.

Perspective: service-based business models to incentivize the efficient use of pesticides in crop protection

PEST MANAGEMENT SCIENCE, 75(11), 2865–2872.

Social Ecological System Tools for Improving Crop Pest Management

JOURNAL OF INTEGRATED PEST MANAGEMENT, 10(1).

Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States

BIOLOGICAL INVASIONS, 20(3), 679–694.

Large-scale spatial dynamics of Drosophila suzukii in Trentino, Italy

JOURNAL OF PEST SCIENCE, 91(4), 1213–1224.

Stability of the Spread Parameter of the Power Law Model for Dispersal Gradients of Disease Epidemics

In International Congress of Plant Pathology (ICPP) 2018: Plant Health in A Global Economy. APSNET.

Weather-Based Models for Assessing the Risk of Sclerotinia sclerotiorum Apothecial Presence in Soybean (Glycine max) Fields

PLANT DISEASE, 102(1), 73–84.

A Troubleshooting Guide for Mechanistic Plant Pest Forecast Models

JOURNAL OF INTEGRATED PEST MANAGEMENT, 8(1).

Focus expansion and stability of the spread parameter estimate of the power law model for dispersal gradients

PEERJ, 5.

Methods of agroclimatology: modeling approaches for pests and diseases

New York: John Wiley & Sons, Ltd.

Modelling the impacts of pests and diseases on agricultural systems

AGRICULTURAL SYSTEMS, 155, 213–224.

Scientific critique of the paper "Climatic distribution of citrus black spot caused by Phyllosticta citricarpa. A historical analysis of disease spread in South Africa" by Martinez-Minaya et al. (2015)

EUROPEAN JOURNAL OF PLANT PATHOLOGY, 148(3), 497–502.

Climate Suitability for Magnaporthe oryzae Triticum Pathotype in the United States

PLANT DISEASE, 100(10), 1979–1987.

Integrated Pest Information Platform for Extension and Education (iPiPE): Progress Through Sharing

JOURNAL OF INTEGRATED PEST MANAGEMENT, 6(1).

Phylogenetic structure and host abundance drive disease pressure in communities

NATURE, 520(7548), 542-+.

Prediction of Phyllosticta citricarpa using an hourly infection model and validation with prevalence data from South Africa and Australia

CROP PROTECTION, 75, 104–114.

Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly)

NEOBIOTA, 27, 37–67.

The Impact of Plant Enemies Shows a Phylogenetic Signal

PLOS ONE, 10(4).

The NCSU/APHIS plant pest forecasting system (NAPPFAST).

Response to "Potential distribution of citrus black spot in the United States based on climatic conditions", Er et al. 2013

European Journal of Plant Pathology, 139(2), 231–234.

Using a Network Model to Assess Risk of Forest Pest Spread via Recreational Travel

PLOS ONE, 9(7).

Climate Change and Plant Biosecurity: Implications for Policy

The Role of Surveillance Methods and Technologies in Plant Biosecurity

In G. Gordh & S. McKirdy (Eds.), The Handbook of Plant Biosecurity (pp. 309–337).

Understanding trade pathways to target biosecurity surveillance

NeoBiota, 18, 103–118.

Dispersal of Invasive Forest Insects via Recreational Firewood: A Quantitative Analysis

JOURNAL OF ECONOMIC ENTOMOLOGY, 105(2), 438–450.

Evaluating the forest pest invasion potential of trade-related and recreational transportation pathways

Presented at the 2011 International Conference on Ecology and Transportation (ICOET 2011), Seattle, Washington.

Evolutionary tools for phytosanitary risk analysis: phylogenetic signal as a predictor of host range of plant pests and pathogens

EVOLUTIONARY APPLICATIONS, 5(8), 869–878.

Probability of Magnaporthe oryzae (Triticum pathotype) introduction into the United States: A quantitative pathway analysis

Phytopathology, 102(7), 3340.

Wheat blast: An emerging threat

Phytopathology, 102(9), 3.

Developmental Database for Phenology Models: Related Insect and Mite Species Have Similar Thermal Requirements

JOURNAL OF ECONOMIC ENTOMOLOGY, 104(6), 1870–1876.

Economic analysis of light brown apple moth using GIS and quantitative modeling

[Technical Report]. In K. A. McManus & K. W. Gottschalk (Eds.), Proceedings. 21st US Department of Agriculture interagency research forum on invasive species 2010 (p. 87). Newtown Square, PA: US Department of Agriculture, Forest Service, Northern Research Station.

Evaluación del Riesgo de Acidovorax avenae Subsp. citrulli Asociada a Semilla de Sandía de Importación a México

Revista Mexicana De Fitopatología, 29(2), 133–145.

Potential establishment of alien-invasive forest insect species in the United States: where and how many?

BIOLOGICAL INVASIONS, 13(4), 969–985.

Progress on Industry Pest Information Platform (iPIPE)

Phytopathology, 101(6), 46.

Risk Assessment of Acidovorax avenae Subsp. citrulli Associated to Watermelon Seed Imported to Mexico

Revista Mexicana De Fitopatología, 29(2), 133–145.

Risk maps for targeting exotic plant pest detection programs in the United States

EPPO Bulletin, 41(1), 46–56.

Enhancing early detection of exotic pests in agricultural and forest ecosystems using an urban-gradient framework

ECOLOGICAL APPLICATIONS, 20(2), 303–310.

Modeling Spatial Establishment Patterns of Exotic Forest Insects in Urban Areas in Relation to Tree Cover and Propagule Pressure

JOURNAL OF ECONOMIC ENTOMOLOGY, 103(1), 108–118.

Pest Information, Detection and surveillance projects of the center for Plant Health Science and Technology of USDA-APHIS

Presented at the Caribbean Food Crops Society 46th Annual Meeting, Boca Chica, Dominican Republic.

Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement

BIOSCIENCE, 60(5), 349–362.

Economic analysis: risk to US apple, grape, orange and pear production from the light brown apple moth, Epiphyas postvittana (Walker)

Raleigh, NC: United States Department of Agriculture.

Plant Biosecurity in the United States: Roles, Responsibilities, and Information Needs

BIOSCIENCE, 59(10), 875–884.

Recovery plan for red leaf blotch of soybean caused by Phoma glycinicola

USDA.

Red leaf blotch of soybean caused by Phoma glycinicola

Worldwide Monitoring Systems: The Need for Public and Private Collaboration

Climate-host mapping of Phytophthora ramorum, causal agent of sudden oak death

[Technical Report]. In S. J. Frankel, J. T. Kliejunas, & K. M. Palmieri (Eds.), Proceedings of the sudden oak death third science symposium. Gen (pp. 269–275, 214). Albany, CA: US Department of Agriculture, Forest Service, Pacific Southwest Research Station.

Climatological potential for Scirtothrips dorsalis (Thysanoptera : Thripidae) establishment in the United States

FLORIDA ENTOMOLOGIST, 91(1), 79–86.

GLOBAL PLANT HARDINESS ZONES FOR PHYTOSANITARY RISK ANALYSIS

SCIENTIA AGRICOLA, 65, 54–59.

A developmental database to support insect phenology models

CROP PROTECTION, 26(9), 1444–1448.

How to Create and Deploy Infection Models for Plant Pathogens

Leaf wetness duration in sunflower (Helianthus annuus): Analysis of observations, measurements and simulations

EUROPEAN JOURNAL OF AGRONOMY, 26(3), 310–316.

NAPPFAST: An internet system for the weather-based mapping of plant pathogens

PLANT DISEASE, 91(4), 336–345.

User manual for NAPPFAST

An introduction to the periodic table for plant pathogens

Phytopathology, 96(6).

Climate and Host Risk Map for Sudden Oak Death Risk (Phytophthora ramorum)

Climate-host mapping of Phytophthora ramorum, causal agent of sudden oak death

[Technical Report]. In S. J. Frankel, P. J. Shea, & M. I. Haverty (Eds.), Proceedings of the sudden oak death second science symposium: the state of our knowledge (pp. 329–332). Albany, CA: Pacific Southwest Research Station, Forest Service, US Department of Agriculture.

Grape canopy surface wetness: Simulation versus visualization and measurement

Agricultural and Forest Meteorology, 139(3-4), 361–372.

Periodic elements of wheat and grapevine pathosystems

Phytopathology, 96(6).

Simulation of surface wetness with a water budget and energy balance approach

Agricultural and Forest Meteorology, 139(3-4), 373–381.

The comparison of four dynamic systems-based software packages: Translation and sensitivity analysis

Environmental Modelling & Software, 21(10), 1491–1502.

A Simple Generic Infection Model for Foliar Fungal Plant Pathogens

Phytopathology®, 95(1), 92–100.

Application of generic epidemiological models for macroscale risk prediction

Phytopathology, 95(6).

Estimating surface wetness on plants

Micrometeorology in Agricultural Systems, 47, 199–226.

Evaluation of possible pathways of introduction for Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) from the Caribbean into the continental United States

Center for Plant Health Science and Technology.

Model and dispersal for Asian soybean rust

Proceedings of Illinois Crop protection Technology Conference, University of Illinois at Urbana-Champaign, 21–22.

Modelling leaf wetness duration and downy mildew simulation on grapevine in Italy

Agricultural and Forest Meteorology, 132(1-2), 84–95.

Simulation of Grape Downy Mildew Development Across Geographic Areas Based on Mesoscale Weather Data Using Supercomputer

The Plant Pathology Journal, 21(2), 111–118.

Surface wetness duration under controlled environmental conditions

Agricultural and Forest Meteorology, 128(1-2), 111–122.

USDA coordinated framework for soybean rust

Phytopathology, 95(6).

Weather-based Pest Risk Mapping Project

[Annual Report]. Raleigh, NC: NCSU APHIS Plant Pest Forecasting System.

An aerobiological and epidemiological risk assessment for the aerial incursion of soybean rust into the United States

Phytopathology, 94(6).

Comparison of two aerobiological approaches for predicting the aerial incursion of soybean rust into the United States

Phytopathology, 94(6), 65.

Evaluation of Potential for Atmospheric Transport of Soybean Rust Spores from Roraima, Brazil and Cali, Columbia to the Continental United States

Forecasting plant disease from local-scale, high-resolution weather data

Phytopathology, 94(6).

Leaf wetness simulation model and its impact on grapevine downy mildew (Plasmopara viticola) forecasting in Tuscany (Italy)

Presented at the 26th Conference on Agricultural and Forest Meteorology.

Review of the Tropical Weather Systems in 2004 and their Potential Impact on the Transport of Soybean Rust Spores to the United States

Weather based assessment of soybean rust threat to North America: First year report to Aphis

US Department of Agriculture, Animal and Plant Health Inspection Service.

Weather-based simulations of invasive plant pathogens

Phytopathology, 94(6).

Pest assessment: Puccinia tritici (Wheat leaf rust)

Regeneration of Local Scale, High-Resolution Weather Data and their Application to Plant Disease Forecasting

Risk assessment: Guignardia citricapra,(Citrus black spot)

Raleigh, NC, USA: USDA APHIS PPQ CPHST Plant Epidemiology and Risk Analysis Laboratory and North Carolina State University.

A high resolution atmospheric model for prediction of winter injury and vineyard site selection

Archivo de ordenador: proceedings of the International Symposium on Grapevine Phylloxera Management. Presented at the 5th International Symposium on Cool Climate Viticulture and Oenology, Melbourne, Australia.

Decision Support Systems: Quenching the Thirst

Plant Disease, 86(1), 4–14.

Potential of a local-area agricultural weather simulation system (LAWSS), for disease forecasting

The Plant Pathology Journal, 17(6), 373.

Site-Specific Weather Information Without On-Site Sensors

Plant Disease, 85(12), 1216–1226.

Estimating disease risk at the whole plant level with General Circulation Models

Environmental Pollution, 108(3), 389–395.

Growers can succeed in the fight against powdery mildew

Australian Viticulture, 4(5), 32–35.

More on the downy mildew challenge

Australian Viticulture, 4(6), 22–27.

Principles for managing the foliage diseases of grapevine with low input of pesticides

6th International Congress on Organic Viticulture, 140.

The downy mildew challenge

Australian Viticulture, 4(5), 38–46.

A theoretical standard for estimation of surface wetness duration in grape

(Ph.D. Dissertation). Cornell University, Ithaca, NY.

New weather forecast technology for Australian grapegrowers

In Australian Grapegrower and Winemaker (pp. 85–94).

Effects of environment and fungicides on epidemics of grape powdery mildew: considerations for practical model development and disease management

Wein-Wissenschaft, 52(3–4), 225–229.

Strategic management of grapevine powdery mildew (Uncinula necator) in south eastern Australia

Wein-Wissenschaft, 52(3–4), 203–205.

The spread of grapevine powdery mildew (Uncinula necator) in south eastern Australia

Wein-Wissenschaft, 52(3–4), 206–208.

Black spot

In Diseases and pests (pp. 25–27). Winetitles.

Powdery mildew

In Diseases and pests (pp. 12–16). Winetitles.

Residues of Four Fungicides Applied for Control of Grapevine Anthracnose Caused by Sphaceloma Ampelinum in a Budburst to Flowering Spray Program.

Australasian Plant Pathology, 24(3), 209.

Developing a low cost disease predictor

Australian Grapegrower and Winemaker, 336a, 63–65.

Developing a low cost disease predictor [grapes; weather stations

Australian Grapegrower and Winemaker, 336a, 63–65.

Obtaining weather data from remote vineyards: a working example

Australian Grapegrower and Winemaker, 336a, 101–104.

Anthracnose of grapevines, a review

Plant Protection Quarterly, 8, 106–110.

Biology and control of fuller’s rose weevil incitrus

In Pest control and sustainable agriculture (pp. 139–141). Camberra: CSIRO.

Evaluation of Control of Grapevine Anthracnose Caused by Elsinoe Ampelina by Pre-Infection Fungicides.

Australasian Plant Pathology, 22(2), 48.

Evaluation of lambdacyhalothrin and deltamethrin trunk treatments for control of Fuller’s rose weevil, Asynonychus cervinus (Boheman)(Coleoptera: Curculionidae), on Citrus

Plant Protection Quarterly, 8, 123–123.

Reducing the Use of Chemicals in Australian Vineyards

Australian and New Zealand Wine Industry Journal, 8, 237.

Susceptibility of grapevine cultivars to powdery mildew-Nuriootpa 1991-92

Australian Grapegrower and Winemaker, 101.

Susceptibility of grapevine selections to black spot (anthracnose) Elsinoe ampelina

Australian Grapegrower and Winemaker, 85.

The Downy Mildew Season 1992/93

Australian and New Zealand Wine Industry Journal, 8, 234.

A Revised Management Program for Grapevine Black Spot

Department of Agriculture: Mildura, Victoria.

Comparative efficacy of trunk treatments for control of Fuller’s rose weevil, Asynonychus cervinus (Boheman)(Coleoptera: Curculionidae), on citrus

Plant Protection Quarterly, 7(1), 7–9.

A Revised Management Program for Grapevine Black Spot

Magarey, R. D., Emmett, R. W., & Roberts, G.

Bamboo Plantation Garden Center

Magarey, R. D., Borchert, D. M., & Schlegel, J. W. Bamboo Plantation Garden Center.

Browse by Subject

Records, A., Lapitan, N., Bertram, R., Savary, S., Ficke, A., Garrett, K. A., & Margarey, R.

Comparison of the observed and predicted number of generations for 21 arthropod pests

Chanelli, S., Magarey, R., Borchert, D., & Engle, J.

Prerliminary documentation for SWEB

Magarey, R. D., Russo, J. M., & Seem, R. C.

Risk Analysis Applications of the NCSU APHIS Plant P t F ti S t (NAPPFAST) Pest Forecasting System (NAPPFAST)

Fowler, G., & Magarey, R.

Susceptibility of grapevine selections to black spot (anthracnose) Elsinoe

Hart, K. M., Magarey, R. D., Emmett, R. W., & Magarey, P. A. In A Revised Management Program for Grapevine Black Spot.

The comparison of six software packages: formalization, calibration, and analysis

Mouser, P., Whitney, D., Mark, C., Voinov, A., Rizzo, D., & Magarey, R.