Virtual conferences can offer significant benefits but require considerable planning and creativity to be successful. Here we describe the successes and failures of a hybrid in-person/virtual conference model. The COVID-19 epidemic presents the scientific community with an opportunity to pioneer novel models that effectively engage virtual participants to advance conference goals.

Maintaining healthy turfgrass often results in the use of pesticides to manage weed, insect, and disease pests. To identify and understand potential nontarget impacts of pesticide usage while still maintaining attractive and functional turfgrass sites, it is important to improve our understanding of how pesticides degrade in various environments throughout the growing season. Temperature heavily influences microbial community composition and activity, and the microbial community often heavily influences pesticide degradation in soil ecosystems. Pesticide transformation products generated through the action of soil microbial degradation networks can vary in their toxicity, with the potential result that a pesticide applied in the spring at 10°C could produce different transformation products with different toxicological impacts than the sample pesticide applied to the same site at 22°C. The objective of this review is to examine past research surrounding soil microbial activity related to pesticide degradation and provide a foundation for how the soil microbiome interacts with pesticides and how seasonal temperature variations may influence those interactions.

Dollar spot is caused by the fungus Clarireedia spp. and is the most economically important disease of golf course turfgrass in temperate regions of the United States. Previous research has demonstrated that nitrogen (N) fertilization may reduce dollar spot severity, however the results have been inconsistent and the impact of N as part of repeated foliar fertilization applications to golf course putting greens remains unclear. Two independent trials were replicated in Madison, WI and Glenview, IL during the 2015, 2016, and 2017 growing seasons. The objective of the first trial was to evaluate the effect of four different N rates applied as urea (4.9, 9.8, 19.4, and 29.3 kg N ha-1 applied every two weeks) on dollar spot severity, and the objective of the second trial was to evaluate the effect of three N sources (calcium nitrate, ammonium sulfate, and ammonium nitrate applied every two weeks) on dollar spot severity. Results from the N rate trial at both locations indicated that only the highest (29.3 kg N ha-1) rate consistently reduced dollar spot severity relative to the non-treated control. Nitrogen source had minimal and inconsistent impacts on dollar spot severity based on location and year. While these results show that meaningful reductions in dollar spot severity can be achieved by manipulating N fertilizer application rate, the rate of N required for disease suppression may be impractical for most superintendents to apply and result in undesirable non-target impacts.

Plant and soil microbiomes are integral to the health and productivity of plants and ecosystems, yet researchers struggle to identify microbiome characteristics important for providing beneficial outcomes. Network analysis offers a shift in analytical framework beyond “who is present” to the organization or patterns of coexistence between microbes within the microbiome. Because microbial phenotypes are often significantly impacted by coexisting populations, patterns of coexistence within microbiomes are likely to be especially important in predicting functional outcomes. Here, we provide an overview of the how and why of network analysis in microbiome research, highlighting the ways in which network analyses have provided novel insights into microbiome organization and functional capacities, the diverse network roles of different microbial populations, and the eco-evolutionary dynamics of plant and soil microbiomes. Expected final online publication date for the Annual Review of Phytopathology, Volume 61 is September 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Objectives: To evaluate the effects of a one-time, apartment-level Integrated Pest Management (IPM) intervention on healthcare utilization and asthma symptoms among children with persistent asthma living in households with a pest infestation. Study design: In a randomized controlled trial of 384 children aged 5-12 years with persistent asthma, we assigned 183 to receive IPM and 197 to usual care (UC). The primary outcome was healthcare utilization from hospital and Medicaid claims records. Secondary outcomes included caregiver-reported asthma symptoms, pest infestation levels, missed days of school due to asthma, and rescue medication use. Results: The entire cohort improved over the study period, with significant but equivalent declines in mean healthcare utilization in both groups. IPM group had fewer days with reduced activity due to asthma (p ¼ 0.04) and larger declines that fell short of statistical significance in asthma symptom days (p ¼ 0.22), severe symptoms (p ¼ 0.16), missed school (p ¼ 0.27) and rescue medication use (p ¼ 0.27). Both roach (p ¼ 0.001) and mice (p ¼ 0.11) infestations decreased much more in the IPM group than the UC group. Conclusions: After a one-time, apartment-level IPM intervention, we found no difference in health care utilization, but fewer days of reduced activity and consistent suggestive evidence of clinically meaningful improvements relative to usual care across other secondary outcomes. Coupled with the established effectiveness of IPM in reducing allergens and scientific consensus on pest-related allergens as asthma triggers, these findings support adding home pest control to traditional medical management of children with severe asthma.