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{
    "pk": 41242,
    "title": "Predicting the establishment and spread of plant disease from regulatory sampling",
    "subtitle": null,
    "abstract": "Invasive plant diseases can have devastating consequences on the local plant populations, in both agricultural and natural landscapes. Knowledge of the spatial patterns of pathogen spread can be used to guide more time- and cost-effective disease management strategies. Based on disease dispersal principles and consideration of host pattern, an improved plant disease epidemiological model was developed and tested for plant disease mapping. The model is able to characterize the disease dispersal gradient and predict infection risk, with indication of uncertainty, through heterogeneous environments without reference to the source of infection. As a result, sampling methods can be informed by the predicted prevalence map of the disease. In order to better describe the shapes of the dispersal gradients, three different dispersal functions (Exponential, Modified power law, and Cauchy distribution) were considered in the model. Two data sets of disease observations of Huanglongbing (HLB) of citrus in different landscapes (Southern Garden and Devils Garden plantation) in Florida were used to evaluate the performance of the improved method for disease mapping. The results showed that the improved model provided estimates of greater precision for unsampled hosts. With all different dispersal models compared, the exponential dispersal gradient gave the most satisfactory performance. All the determined information can help decision makers understand the spatial aspects of disease processes, and formulate decisions about disease control accordingly.",
    "language": "en",
    "license": {
        "name": "Creative Commons Attribution 4.0",
        "short_name": "CC BY 4.0",
        "text": "Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\n\nNo additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",
        "url": "https://creativecommons.org/licenses/by/4.0"
    },
    "keywords": [],
    "section": "Abstracts of Presentations at the 3rd International Research Conference on Huanglongbing",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2x24t1b6",
    "frozenauthors": [
        {
            "first_name": "W.",
            "middle_name": "",
            "last_name": "Luo",
            "name_suffix": "",
            "institution": "USDA, ARS, US Horticultural Research Laboratory, Fort Pierce, Florida, USA;\nCIPM, NC State University, Raleigh, North Carolina, USA",
            "department": "None"
        },
        {
            "first_name": "T.",
            "middle_name": "R.",
            "last_name": "Gottwald",
            "name_suffix": "",
            "institution": "USDA, ARS, US Horticultural Research Laboratory, Fort Pierce, Florida, USA",
            "department": "None"
        },
        {
            "first_name": "S.",
            "middle_name": "",
            "last_name": "Pietravalle",
            "name_suffix": "",
            "institution": "The Food and Environment Research Agency, Sand Hutton, York, UK",
            "department": "None"
        },
        {
            "first_name": "M.",
            "middle_name": "S.",
            "last_name": "Irey",
            "name_suffix": "",
            "institution": "Southern Gardens Citrus, US Sugar Corp., Clewiston, Florida, USA",
            "department": "None"
        }
    ],
    "date_submitted": "2014-11-25T18:36:12Z",
    "date_accepted": "2014-11-25T18:36:12Z",
    "date_published": "2014-01-01T00:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/iocv_journalcitruspathology/article/41242/galley/30841/download/"
        }
    ]
}