Grant Information

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

Sponsoring Institution Agricultural Research Service/USDA
Status ACTIVE
Funding Source USDA INHOUSE
Reporting Frequency Annual
Project Director GOTTWALD T R
Accession Number 423809
Project Number 6034-22000-039-48T
Dates 2014-01-29 - 2015-09-30
Recipient Organization AGRICULTURAL RESEARCH SERVICE
219 SOUTH ROCK ROAD
FT PIERCE,FL 34945
Keywords acp
asian
citrus
contingent
decision
evidence-based
greening
hlb
huanglongbing
making
psyllid
risk
valuation
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
Development of HLB/ACP survey detection and prediction protocols for urban and commercial citrus.
Methods (unparsed)

Design a risk-based survey model that takes into account a number of risk criteria including: residential citrus populations and distribution, residential Asian populations, ACP vector locations, citrus production related to transport corridors, potential ACP spread (from commercial nursery green waste facilities military installations and Indian reservations), weather effects, and proximity to citrus groves. The model will then be validated and delivered to the appropriate regulatory agencies. Data will begin collection and be fed back into subsequent modeling to optimize the overall survey design and modeling output.

Methods
Design a risk-based survey model that takes into account a number of risk criteria including: residential citrus populations and distribution, residential Asian populations, ACP vector locations, citrus production related to transport corridors, potential ACP spread (from commercial nursery green waste facilities military installations and Indian reservations), weather effects, and proximity to citrus groves. The model will then be validated and delivered to the appropriate regulatory agencies. Data will begin collection and be fed back into subsequent modeling to optimize the overall survey design and modeling output.