Grant Information

RISK-BASED SURVEY FOR DECISION MAKING IN THE MANAGEMENT OF HUANGLONGBING: PHASE II

Sponsoring Institution Agricultural Research Service/USDA
Status ACTIVE
Funding Source USDA INHOUSE
Reporting Frequency Annual
Project Director GOTTWALD T R
Accession Number 435868
Project Number 6034-22000-042-32R
Dates 2018-10-01 - 2019-09-30
Recipient Organization AGRICULTURAL RESEARCH SERVICE
219 SOUTH ROCK ROAD
FT PIERCE,FL 34945
Keywords based
citrus
hlb
risk
Research Effort Applied (30%)
Basic (60%)
Developmental (10%)
Classification Parameters
Knowledge AreaSubject of InvestigationField of SciencePercent
212 - Pathogens and Nematodes Affecting Plants 910 - Grapefruit 1040 - Molecular biology 25%
212 - Pathogens and Nematodes Affecting Plants 920 - Orange 1060 - Biology (whole systems) 25%
212 - Pathogens and Nematodes Affecting Plants 1114 - Peach 1040 - Molecular biology 10%
212 - Pathogens and Nematodes Affecting Plants 1122 - Strawberry 1060 - Biology (whole systems) 10%
212 - Pathogens and Nematodes Affecting Plants 1429 - Cucurbits, other (includes pumpkin, squash, gourd) 1040 - Molecular biology 10%
212 - Pathogens and Nematodes Affecting Plants 1460 - Tomato 1060 - Biology (whole systems) 10%
212 - Pathogens and Nematodes Affecting Plants 2110 - Ornamental trees and shrubs 1040 - Molecular biology 10%
Goals / Objectives
Find the disease sufficiently early, before it becomes established/endemic to provide the time and opportunity for eradication/suppression to preserve California's citrus industry. To accomplish this, we develop survey protocols to improve evidence-based decision-making for Huanglongbing (HLB) management, and evaluate the efficacy of survey and deployment to maximize data acquistion and impact. We continue to refine and extend the Phase I model to even greater proactive early detection abilities in Phase II.
Methods (unparsed)

1) The risk-based survey model continuously evolves via validation, data reevaluation (e.g., new Huanglongbing (HLB)/Asian Citrus Psyllid (ACP) finds), and adaptation to optimize early detection. 2) Conduct spatiotemporal analyses of the wealth of data collected to-date from the risk-based surveys. These analyses will allow us to investigate whether surveys (statewide and delimiting) are thorough and deployed efficiently, and integrate an HLB epidemiological spread model, that when combined with the existing survey model will predict new incursions and subsequent spread based on various risk factors. 3) Perform interim analyses to examine risk mapping accuracy and model validation. 4) Integrate risk map with sampling density to estimate HLB incidence across California at Section-Township-Range (STR) grid level (i.e., 1-sq. mile). 5) Incorporate optimized Early detection technology (EDT) deployment strategies balanced with regulatory resources into the risk-based survey design to augment early detection. 6) Develop commercial citrus-specific risk-based survey protocols.