An Integrated Approach to Control Sclerotinia Stem Rot (White Mold) in Soybean

While brown stem rot, Phytophthora root rot, sudden death syndrome and the soybean cyst nematode generally are regarded as the most significant diseases of soybean in the North Central States, Sclerotinia stem rot, also called white mold, has been a problem in Minnesota, Wisconsin and Michigan for many years. Beginning in 1992, and again in 1994, Sclerotinia stem rot developed throughout the northern range of the North Central Region. Nationally, the disease is considered to be minor because it has not involved a high percentage of the national soybean acreage. Possibly this situation has changed and Sclerotinia stem rot will be an annual threat to soybean production in more of the Region. Chamberlain (1951) was the first to make a detailed report on Sclerotinia stem rot in the mid-west after he observed localized, but severe outbreaks of the disease in lllinois in 1946. Chamberlain (1951) summarized his findings by the following quote; \u27There appears to be no ready explanation as to why Sclerotinia stem rot, certainly one of the least prevalent of soybean diseases, can cause such severe but localized damage . After almost 50 years, more is known about factors that impact on the incidence and severity of this disease, but an element of mystery still remains as to why sudden outbreaks occur

Analysis of bolted flanged panel joint for GRP sectional tanks

Peer reviewedPublisher PD

Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: insights from Spring 2020

Background Social distancing have been widely used to mitigate community spread of SARS-CoV-2. We sought to quantify the impact of COVID-19 social distancing policies across 27 European counties in spring 2020 on population mobility and the subsequent trajectory of disease. Methods We obtained data on national social distancing policies from the Oxford COVID-19 Government Response Tracker and aggregated and anonymized mobility data from Google. We used a pre-post comparison and two linear mixed-effects models to first assess the relationship between implementation of national policies and observed changes in mobility, and then to assess the relationship between changes in mobility and rates of COVID-19 infections in subsequent weeks. Results Compared to a pre-COVID baseline, Spain saw the largest decrease in aggregate population mobility (~70%), as measured by the time spent away from residence, while Sweden saw the smallest decrease (~20%). The largest declines in mobility were associated with mandatory stay-at-home orders, followed by mandatory workplace closures, school closures, and non-mandatory workplace closures. While mandatory shelter-in-place orders were associated with 16.7% less mobility (95% CI: -23.7% to -9.7%), non-mandatory orders were only associated with an 8.4% decrease (95% CI: -14.9% to -1.8%). Large-gathering bans were associated with the smallest change in mobility compared with other policy types. Changes in mobility were in turn associated with changes in COVID-19 case growth. For example, a 10% decrease in time spent away from places of residence was associated with 11.8% (95% CI: 3.8%, 19.1%) fewer new COVID-19 cases. Discussion This comprehensive evaluation across Europe suggests that mandatory stay-at-home orders and workplace closures had the largest impacts on population mobility and subsequent COVID-19 cases at the onset of the pandemic. With a better understanding of policies’ relative performance, countries can more effectively invest in, and target, early nonpharmacological interventions