,Grasshoppers are integral parts of rangeland ecosystems but also have the potential to reach population densities high enough (outbreaks) to cause serious economic damage from forage loss and affect adjacent crops. The objective of this study was to investigate the efficacy of treating grasshopper population hotspots with a liquid insecticide using a remotely piloted aerial application system (RPAAS), as opposed to fixed-wing aircraft, which is the most common method currently in use. A liquid insecticide, Sevin XLR PLUS (containing carbaryl), was applied on replicated 4.05-hectare (10-acre) plots with an RPAAS on a ranch in New Mexico. Our results demonstrated that Sevin XLR PLUS significantly suppressed grasshopper populations over a 14-day period (normalized population reduction was 79.11 ± 8.35% SEM) and quite rapidly (mostly by day 3) compared to untreated controls. These results are comparable to those achieved with fixed-wing aircraft. The RPAAS covered the whole test area in a single flight in approximately 5 min, making these population hotspot treatment applications relatively rapid, potentially more cost-effective, and more targeted in comparison to fixed-wing aircraft. Before adoption as an application method option, further research is recommended on using an RPAAS to cover larger areas in combination with using diflubenzuron-based insecticides, which are often preferred.,

농촌진흥청에서는 농가의 안정적인 생산과 피해 최소화를 위해 각종 해충에 대한 학명, 기주식물, 생태적 특성, 피해 양상 등을 과학적이고 체계적으로 제공하고 있습니다. 농업인은 이를 통해 작물별로 발생할 수 있는 해충의 종류와 습성을 미리 파악하고, 발생 시기와 피해 정도를 예측하여 적기에 방제 대책을 수립할 수 있습니다. 이러한 정보는 병해충 피해를 효과적으로 줄이고, 화학 농약 사용을 최소화하며, 친환경적이고 지속 가능한 농업 경영을 실현하는 데 크게 기여합니다. 더불어 스마트농업 기술과 연계해 실시간 대응 체계를 구축함으로써 생산성과 품질 향상에도 도움이 됩니다.

This dataset provides all parameter values necessary to replicate the TIM/MCnest model analysis reported in the manuscript "Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems". This dataset is associated with the following publication: Etterson, M., K. Garber, and E. Odenkirchen. Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems. PLoS ONE. Public Library of Science, CA, USA, 1-23, (2017).

식물병해충 예찰조사 과정 및 연구사업 등에서 확보한 표본의 정보를 표준화한 리스트로, 종합적인 표본의 보존, 관리 및 활용을 목적으로 한다.

Transect-based monitoring has long been a valuable tool in ecosystem monitoring. These transects are often used to measure multiple ecosystem attributes. The line-point intercept (LPI), vegetation height, and canopy gap intercept methods comprise a set of core methods, which provide indicators of ecosystem condition. However, users struggle to design a sampling strategy that optimizes the ability to detect ecological change using transect-based methods. We assessed the sensitivity of these core methods on a one-hectare plot to transect length, number, and sampling interval to determine: 1) minimum sampling required to describe ecosystem characteristics and detect change for each method and 2) optimal transect length and number for all three methods to make recommendations for future analyses and monitoring efforts. We used data from 13 National Wind Erosion Research Network locations spanning the western US, which included 151 measurements over time across five biomes. We found that longer and increased numbers of transects were more important for reducing sampling error than increased sample intensity along transects. For all methods and indicators across plots, three 100-m transects reduced sampling error so that indicator estimates fall within an 95% confidence interval of +/- 5% for canopy gap intercept and LPI-total foliar cover, +/- 5 cm for height and +/- two species for LPI-species counts. For the same criteria at 80% confidence intervals, two 100-m transects are needed. Site-scale inference was strongly affected by sample design, consequently our understanding of ecological dynamics may be influenced by sampling decisions.

,Attraction Assessment - assessment of different lure sources, including pheromones and kairomones for red flour beetle and lesser grain borer in the wind tunnel and release-recapture experiment under controlled settings. Abbreviations: WGO - wheat germ oil; Tab - Insects Limited SPB tablet bait; NC - negative control (no stimulus); DDGS - dried distiller's grains with soluables. There were a total of n = 12 replicate releases for the release-recapture and n = 30 replicate individuals for the wind tunnel per treatment.,Dose Dependency Data - evaluation of whether dose-dependency in attraction exists for red flour beetle and lesser grain borer in the wind tunnel and in a release-recapture experiment for the Insects Limited SPB lure. Abbreviations: SPB1 - a single Insects Limited SPB tablet bait; SPB2 - two Insects Limited SPB tablet baits; SPB3 - three Insects Limited SPB tablet baits; Ctrl - negative control (no stimulus); DDGS - dried distiller's grains with soluables. There were a total of n = 24 replicate releases for the release-recapture and n = 30 replicate individuals for the wind tunnel per treatment.,Spillage Trap Collections - datasheet for the number and lowest taxonomic unit of insects collected in interception traps with different kill mechanisms and stimuli at three food facilities in Arkansas and Kansas during 2018 and 2019. There were a total of 27 taxa tracked, and captures totaled to near 4,000. Abbreviations: C, control netting only (no stimulus); L, insecticide-netting only (no stimulus); LS, insecticide-netting with a single SPB Insects Limited tab lure; CS, control netting with a single SPB Insects Limited tab lure. State abbreviations: AR - Arkansas, KS - Kansas. There were three transects per site, each with every treatment above represented, thus a total of n = 8-9 replicate deployments in AR and n = 12 deployments in KS.,Spillage Trap Progeny- datasheet for progeny production in interception traps after six weeks under constant conditions with different kill mechanisms and stimuli at three food facilities in Arkansas and Kansas during 2018 and 2019. Abbreviations: C, control netting only (no stimulus); L, insecticide-netting only (no stimulus); LS, insecticide-netting with a single SPB Insects Limited tab lure; CS, control netting with a single SPB Insects Limited tab lure. State abbreviations: AR - Arkansas, KS - Kansas. There were three transects per site, each with every treatment above represented, thus a total of n = 8-9 replicate deployments in AR and n = 12 deployments in KS.,Trial 1 Recapture - To understand whether the method by which LLIN was deployed affected subsequent commodity infestation and progeny production, pilot-scale warehouses (5.85 × 2.81 m) in Manhattan, KS were used. At the far end of the warehouse against the back wall, a commodity consisting of a mixture of 210 mL organic, whole wheat kernels and 210 mL of organic, unbleached flour was placed. A total of 100 individuals each of T. castaneum, R. dominica, and T. variabile were released at the opposite end of the warehouse (approx. 5.25 m away). There were n = 12 replicate releases per treatment from 26 April 2019 to 16 August 2019, comprising a total of 3,600 released insects. There were four LLIN deployment methods that were tested (Figure 2). In the “hanging” treatment, LLIN (2.72 × 2.41 m) was affixed to the warehouse ceiling and allowed to hang down to the floor, completely bisecting the room. In the “cover” deployment method, LLIN was directly laid over the commodity. In the “pipe” deployment method, a PVC pipe (91 cm length, 5.1 cm I.D.) was bisected halfway with LLIN. These were compared with a "control" that used the same PVC pipe design, but without netting. Insects were given 72 h to disperse across the warehouse to the commodity. After this period, insects were collected by pre-designated zones in the warehouse. The zones were noted respective to the location of the commodity, and included "in commodity" (inside

농림축산식품부에서 제공하는 시설원예 농작물(오이) 병해충에 대한 데이터로 병, 해충의 이미지 데이터를 제공합니다.

Code repository for scripts and model output associated with sensitivity analysis of the VarroaPop honeybee hive simulation model. This dataset is associated with the following publication: Kuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).