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CPHST Support: Bringing Pests, Surveys, Plants, and Science Together

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Presentation on theme: "CPHST Support: Bringing Pests, Surveys, Plants, and Science Together"— Presentation transcript:

1 CPHST Support: Bringing Pests, Surveys, Plants, and Science Together
Melinda Sullivan Lisa Jackson Daniel Mackesy Talitha Molet

2 Gap Analysis

3 Purpose Who has been looking for a given pests vs. who should be looking for a given pest based on risk? To determine if high-risk states chose to survey for target pests based on the information CPHST provided.

4 Pest Selection Each pest had to have been on the AHP prioritized pest list for at least five years Had opportunity to survey for pest over several years One to two-year lag often between adding a new pest and surveys occurring. Have good survey and identification methods (based on the specific pest group)

5 Who Is Looking for a Pest?
Who indicated they were looking for the pest? Who entered data into NAPIS or mentioned in their annual progress report? NAPIS Survey Summary Forms Work plans/Accomplishment Reports Proposed Farm Bill Surveys (those actually funded projects had not been announced yet) Direct communication with states for clarification

6 Who Should be Looking for a Pest?
Host Presence: National Agricultural Statistics Survey (NASS) for host data by state Census of Agriculture for Horticultural Commodities Census of Agriculture for Puerto Rico and Hawaii

7 Hosts Continued Two ways to look at this?
Total Host Acreage (all hosts combined) Miss smaller specialty crops (more value on per acre basis) Amount of acreage for any one host per commodity States with multiple hosts could be at increased risk Different pathways for different hosts

8 Hosts Continued We included two lists in our analysis for pests with multiple primary hosts? List of states based on the number of times that a state ranked in the top 10 for each major host Rank of state based on total host acreage for major/ primary hosts

9 Who Should be Looking for a Pest?
Climate/ Pathway: Pest Datasheets for climate/ pathway information NAPPFAST maps (where appropriate) Pathway was very broad and wasn’t used for most of the analyses

10 Completed Insect Gap Analyses
Helicoverpa armigera (old world bollworm) Thaumatotibia leucotreta (false codling moth) Thaumetopoea processionea (oak processionary moth) Tomicus destruens (no common name, a pine shoot beetle) Tuta absoluta (Tomato leafminer)

11 Completed Pathogen Gap Analyses
Candidatus Phytoplasma australiense (Australian grapevine yellows) Harpophora maydis (late wilt of corn) Ralstonia solanacearum race 3 biovar 2 (bacterial wilt, Southern wilt)

12 General Observations Most states are doing a good job for surveying for high-risk pests in their states. Corn producing states are not looking for pests of corn. There are virtually no surveys happening in potato (this is an industry issue) Exception: The potato cyst nematodes

13 General Observations Large states like CA and FL are at risk for many pests based on host presence and climate. CPHST CAPS support need to improve risk maps (formerly NAPPFAST) (Lisa K. will talk about later). It seems to take a while before states begin surveying for new pest additions (lag) (Example: Thaumetopoea processionea – 3 to 4 years is common).

14 General Observations CPHST noticed that there are additional important hosts that are not covered by the CAPS commodity manuals. CPHST should improve the commodity matrix to reflect/ highlight these other important hosts. Include All priority pests (AHP and commodity). Previously just AHP. Split tree/ shrubs groups into individual species.

15 Apium graveolens (Celery) Arachis spp. (Peanut)
Rank Scientific Name Common Name Allium spp. (Onion) Apium graveolens (Celery) Arachis spp. (Peanut) Asparagus spp. (Asparagus) Avena spp. (Oats) Brassica spp. Citrus spp. (Citrus) Cucumis spp. (Cantaloupe) Cucumis spp. (Cucumber) Daucus carota (Carrot) Fragaria spp. (Strawberry) Glycine spp. (Soybean) Gossypium spp. (Cotton) Helianthus spp. (Sunflower) Hordeum spp. (Barley) Lactuca spp. (Lettuce) Malus spp. (Apple) Oryza spp. (Rice) Phaseolus spp. (Beans) Prunus dulcis (Almond) Prunus persica (Peach) Pyrus spp. (Pear) Solanum lycopersicum (Tomato) Solanum tuberosum (Potato) Sorghum spp. (Sorghum) Triticum spp. (Wheat) Vitis spp. (Grape) Zea spp. (Corn) Pinus spp. (Pine) Other Softwood Trees* Soft Hardwood Trees* Hardwood Trees* Pest Commodity Total 1 Agrilus biguttatus Oak Splendor Beetle 2 Platypus quercivorus Oak Ambrosia Beetle Cronartium flaccidum Scots Pine Blister Rust 3 Helicoverpa armigera Old World Bollworm 27 4 Tremex fuscicornis Tremex Wood Wasp 5 Thaumetopoea processionea Oak Processionary Moth 6 Tomicus destruens Pine Shoot Beetle 7 Dendrolimus sibiricus Siberian Silk Moth 8 Spodoptera litura Cotton Cutworm 28

16 Steps Forward We are running a few additional pests through a gap analysis to see if trends/ patterns continue We will report overall findings to PDMT They will decide how to progress at that time. Expanded matrix completed for 2016 guidelines. Address risk map issues (Lisa Kennaway’s group).

17 Example Completed Analysis
Helicoverpa armigera

18 Questions


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