David W. Hagstrum

Area-Wide IPM for Commercial Wheat Storage

The United States Department ofAgriculturesAgricultural Research Service (USDA- ARS) funded a demonstration project between 1998 and 2003 for area-wide integrated pest management (AW-IPM)ofcommercialstoredwheatinKansasandOklahoma.TheAW-IPMconceptisusefultostored grainbecauseitreducesthemixingofinfestedanduninfestedgrainattheterminalelevatorbycontrolling insect problems in small country elevators before the grain is shipped to the terminal elevator.This proj- ectwasacollaborationoftheUSDA-ARSGrainMarketingandProductionResearchCenterinManhattan, Kansas, Kansas State University, and Oklahoma State University. The project utilized two elevator net-

Sampling stored‐product insect pests: a comparison of four statistical sampling models for probability of pest detection

BACKGROUNDnDeveloping sampling strategies to target biological pests such as insects in stored grain is inherently difficult owing to species biology and behavioural characteristics. The design of robust sampling programmes should be based on an underlying statistical distribution that is sufficiently flexible to capture variations in the spatial distribution of the target species.nnnRESULTSnComparisons are made of the accuracy of four probability-of-detection sampling models - the negative binomial model,(1) the Poisson model,(1) the double logarithmic model(2) and the compound model(3) - for detection of insects over a broad range of insect densities. Although the double log and negative binomial models performed well under specific conditions, it is shown that, of the four models examined, the compound model performed the best over a broad range of insect spatial distributions and densities. In particular, this model predicted well the number of samples required when insect density was high and clumped within experimental storages.nnnCONCLUSIONSnThis paper reinforces the need for effective sampling programs designed to detect insects over a broad range of spatial distributions. The compound model is robust over a broad range of insect densities and leads to substantial improvement in detection probabilities within highly variable systems such as grain storage.

Chapter 10 – Books and Book Chapters

Statistical prediction of circuit aging under process variations, Chapter 5, pp. modeling of contact and via modules for advanced on-chip interconnect technology, US patent 8483997, July 9, 2013. modeling of interconnect modules for advanced on-chip interconnect technology, US

Chapter 6 – Species by Common Name

Common Name: Woodland Phlox Family: Polemoniaceae The fragrant flowers are in varying shades of blue atop 15-inch stalks. One of the earliest of the spring bloomers, Woodland Phlox will bloom for 4-6 weeks. The semi-evergreen stems of Phlox divaricata will form loose creeping mats. Woodland Phlox has a shallow root system that will benefit from a summer mulch to conserve soil moisture. Too much sun or too dry soil will result in browning foliage and diminished flowering.