Eight foliar insecticide treatment regimes (single applications of Esteem, Danitol + Lorsban, Applaud, Provado and Prev-am, and two applications of Applaud, Provado, and Prev-Am) were evaluated for management of woolly whitefly infestations in grapefruit. All of these products demonstrated efficacy in mitigating woolly whitefly populations. Danitol + Lorsban appeared to be the best knock-down treatment evaluated, but Provado and Prev-Am also demonstrated good activity. For sustained control, all of the treatments were effective; however, Prev-Am required an additional application to achieve equivalent control. Soil injections of 16 and 32 fl-oz/ac of Admire were very effective against WWF, and there were no detectable differences between the two rates. The Admire appeared to require about 27 days after injection to demonstrate consistent activity.

In the management of agricultural insect pests, short-term costs must be balanced against long-term benefits. Controls should be selected to account for both their immediate and downstream effects upon the demography and genetics of the pest, enabling suppression today without threatening suppression tomorrow. The iterative, algorithmic method of dynamic programming can provide optimal solutions to problems of this type, in which actions are taken sequentially and each action may influence those which follow it. However, this approach is fundamentally constrained with regards to the magnitude of the problems it may solve. As questions of insect pest management can be subject to ecological and evolutionary complexities, this may place them beyond the scope of dynamic programming. When it is the intricacies of a problem that are of interest, it may be more productive to utilise approximate dynamic programming (ADP) methods which can attempt problems of arbitrary complexity, although at the expense of no longer guaranteeing optimality. In this thesis I first challenge a dynamic programming algorithm with the management of a hypothetical insect pest feeding upon a transgenic insecticidal crop. The model explores how different realisations of fitness costs to resistance influence the algorithms suggested actions. I then apply a brute-force variant of ADP, a lookahead policy, to the management of a stage-structured, continuously reproducing pest population. This was to explore the extent to which an algorithm with a limited temporal perspective is able to balance the timetable of pest demography against the timescale over which insecticidal sprays and bisex-lethal sterile insect releases unfold. This same decision framework is then applied to a modified problem in which resistance to insecticidal toxins may evolve and releases are now male-selecting. This was used to assess the efficacy with which simple lookahead policies utilise a control with delayed benefits (the male-selecting releases) and possible constraints on their capacity to respond to resistance evolution. Dynamic programming and ADP methods offer a versatile toolbox for accounting for the potential impacts of the evolutionary and ecological peculiarities of particular pests upon control decisions.

The demand for locally sourced hops from Northeastern microbreweries began the recent resurgence in local hop production. The farming community has increased acreage and improved the quality of hops grown and processed in the Northeast region over the past five years. There was a sharp increase in the number of Northeast hop producers from six in 2009 to over 175 in 2014. Hop growers in the Northeast are new to the crop and have limited experience with pest identification and management. This dissertation encompasses three research projects that were conducted over the 2012-2014 growing seasons. These projects were the first critical steps taken to develop arthropod integrated pest management (IPM) tactics for Northeastern hop growers. First, the arthropod community in seven Vermont hop yards was evaluated. The objectives of Chapter 2 are to 1) present current hop pest biology and management strategies, 2) report the phenology of arthropod pests observed over three growing seasons, 3) report abundance and peak date for each pest, and 4) document natural enemy abundance in Vermont hop yards. The survey indicates that in cool, wet seasons hop aphid (Phorodon humuli Schrank) is expected to be a pest of concern. Two-spotted spider mite (Tetranychus urticae Koch) is expected to be a pest of concern in hot, dry conditions. Potato leafhopper (Empoasca fabae Harris) is an unpredictable pest of special concern for first year hop plants. When hop aphid or potato leafhopper are sprayed for with broad-spectrum insecticide, two-spotted spider mite secondary outbreak can be expected. Second, the abundance of major arthropod pests and their natural enemy groups were evaluated under drive row flowering cover crop treatments. The objectives of this study were to 1) measure the effect of cover crops on natural enemy group abundance, 2) measure the effect of cover crops on the three major Northeastern hop pests, and 3) measure the effect of cover crop presence on hop yield and quality. Natural enemy groups and pests were positively correlated yet cover crop treatments had no significant effect on natural enemy abundance. Red clover cover crop treatments served as a trap crop for potato leafhopper. No significant difference in hop yield or quality was observed between flowering cover crop treatments. Finally, potato leafhopper is a documented but understudied regional pest of hops. The objectives of this study were to 1) measure the physiological response of eight hop cultivars to adult potato leafhopper feeding and 2) measure hop leaf recovery from potato leafhopper injury. Gas exchange (net photosynthesis and transpiration) and chlorophyll content were measured to quantify injury by adult potato leafhopper to first year hop leaves in field and greenhouse studies. Cultivars did not vary significantly in their physiological response to potato leafhopper feeding. Injury significantly reduced gas exchange measures in the field (P < 0.05) and greenhouse (P < 0.05) and when leafhoppers were removed, gas exchange was restored.

<p>  </p> <p>Spotted-wing Drosophila (SWD), <em>Drosophila suzukii</em> (Matsumura), is an economically-important pest of small fruits worldwide. Currently, timing of management is based on morphological identification of adult flies captured in baited monitoring traps; however, distinguishing SWD from other native drosophilids in traps is a time-consuming process that requires magnification. And a degree-day model that could help small fruit growers understand and predict the seasonal activity of this pest has not been developed for Indiana. Due to the low tolerance for maggots in fruit market, most small fruit growers rely on intensive, insecticide applications on a calendar-based schedule without guidance on the activity levels of SWD. </p> <p>A total of 6,051 SWD adults were monitored weekly using commercial Scentry traps at three highbush blueberry orchards during May to August. I applied the published SWD developmental thresholds of 7.2 °C (lower) and 31.5 °C (upper) and the single-sine method to calculate accumulated degree days in the year of 2021 and 2022. A predictive model from two years of data at three locations exhibited an S-shaped curve, with 5%, 25%, and 50% of adults detected at ~907, 1,293, and 1,523 CDD, respectively. By examining infestations in three varieties, ‘Bluecrop’, ‘Blueray’, and ‘Elliot’, I found that blueberry infestation rate increased as the trap captures increased. The use of early-ripening highbush blueberry varieties can reduce infestation and regardless of variety, as berries became softer, the number of SWD egg scars in berries increased.</p> <p>DNA-based diagnostic methods, like loop-mediated isothermal amplification (LAMP), have the potential to improve SWD detection by replacing morphological identification with DNA-based identification. Positive results of the LAMP assay are based on a visible color change from pink to yellow when focal DNA is present. I tested the reliability of LAMP results using SWD DNA and then evaluated the sensitivity of LAMP in discriminating between SWD and two native drosophilids common captured in monitoring traps in Indiana, <em>Drosophila affinis</em> and <em>D. simulans</em>. I found the LAMP assay can quickly and accurately identify SWD with as little as 0.1 ng/μl of DNA. Following optimization, the assay also suggested success in discriminating between SWD and these two native species: it only requires an individual fly, DNA extraction is not necessary. </p> <p>By better predicting seasonal SWD activity and optimizing DNA-based diagnostics for this pest, this study can help improve the timely detection of SWD and the management in small fruit systems. </p>