Abstract
AbstractCanada thistle (Cirsium arvense(L.) Scop., CT) is one of the worst weeds threatening temperate regions of the world. A host-specific rust fungus,Puccinia punctiformis(F. Strauss) Rohl., is known to cause systemic disease of CT, ultimately killing individuals and reducing stand densities. In 2013, it was demonstrated that fall inoculation of rosettes with coarsely ground leaves bearingP. punctiformistelia can successfully initiate epiphytotics. In the same year, a cooperative project between the Colorado Department of Agriculture and United States Department of Agriculture was initiated, in which CT patches across the state of Colorado (USA) were inoculated and tracked over subsequent years for changes in stem density. Here, we report our findings from 8 years (2014-2021) of monitoring effort. At most sites (N= 87), CT stem densities declined, from a mean (± SE) of 87.9 (± 6.5) stems to 44.7 (± 4.2). These declines however were spatially-autocorrelated, and likely attributable to local growing conditions, as mean annual daily maximum temperature and standard deviation of elevation, as well as climatic conditions around the times of both treatment and monitoring, were found to be important predictors of CT decline. Further, we observed that the amount of inoculum deployed, timing since last release, and method in which it was spread locally at a site were also associated with the magnitude of CT stem decline. These results are indicative of the value ofP. punctiformisas a CT biological control agent. The nameCirsium arvensedieback (CADB) is proposed herein to describe the agriculturally important decline in CT stem densities attributable to this previously un-named systemic disease.
Publisher
Cold Spring Harbor Laboratory
Reference66 articles.
1. Seedling establishment and vegetative spread of Cirsium arvense (L.) Scop. in Victoria, Australia;Weed Research,1975
2. Control of Canada thistle Cirsium arvense (L) Scop. by herbicides and mowing;Weed Research,1977
3. Ayber, C. (2022) rgee: R bindings for calling the ‘Earth Engine’ API. R package version 1.1.5, https://CRAN.R-project.org/package=rgee
4. Fitting Linear Mixed-Effects Models Using lme4;Journal of Statistical Software,2015
5. Bean, D. and C. Randall . 2017. Colorado and the US Forest Service initiate a multistate Canada thistle biocontrol project. PP. 44. Western Society of Weed Science Newsletter, Fall 2017.