Presented here is a new dust modeling framework that uses a backward-Lagrangian particle dispersion model coupled with a dust emission model, both driven by meteorological data from the Weather Research and Forecasting (WRF) Model. This new modeling framework was tested for the spring of 2010 at multiple sites across northern Utah. Initial model results for March–April 2010 showed that the model was able to replicate the 27–28 April 2010 dust event; however, it was unable to reproduce a significant wind-blown dust event on 30 March 2010. During this event, the model significantly underestimated PM2.5 concentrations (4.7 vs 38.7 μg m−3) along the Wasatch Front. The backward-Lagrangian approach presented here allowed for the easy identification of dust source regions with misrepresented land cover and soil types, which required an update to WRF. In addition, changes were also applied to the dust emission model to better account for dust emitted from dry lake basins. These updates significantly improved dust model simulations, with the modeled PM2.5 comparing much more favorably to observations (average of 30.3 μg m−3). In addition, these updates also improved the timing of the frontal passage within WRF. The dust model was also applied in a forecasting setting, with the model able to replicate the magnitude of a large dust event, albeit with a 2-h lag. These results suggest that the dust modeling framework presented here has potential to replicate past dust events, identify source regions of dust, and be used for short-term forecasting applications.
The use of DNA markers to accelerate genetic improvement of forages presents a unique set of opportunities, challenges, and benefits. Our experiments in full-sib mapping populations of white clover and perennial ryegrass have detected >75 quantitative trait loci (QTLs), each with multiple marker:trait associations at specific locations in either the perennial ryegrass or white clover genome. A subset of these QTL are robust (detected in multiple years / sites / populations) and exert a substantial influence on performance, warranting exploration of development for application in Marker-assisted Selection (MAS) breeding programmes. Ryegrass QTLs associated with herbage yield, seed yield, plant size and habit, cold tolerance, seasonal regrowth, and disease have been identified, whereas QTL discovery in white clover has been focused on reproductive traits. Markers from two white clover QTLs were used to develop marker assays suitable for selection of parental plants with superior breeding value for seed yield potential. Tandem testing of the two assays over two field seasons and eight populations indicates that substantial change in seed yield may be achieved (up to 90% increase), and that the marker / allele / phase relationships to plant performance are population specific. These data point to an opportunity to develop selection tools on a population specific basis, and to a challenge to implement MAS approaches tailored for open-pollinated population breeding systems.
Earthworms are not a direct pest of turf grass but they are considered a problem on many sports fields, disrupting playability and aesthetics due to the castings they deposit on the playing surface. Also, a number of slug species are well-known foliage destroying pests of a number of agriculturally important crop species. Perennial ryegrass and tall fescue cultivars associated with selected Epichloë endophytes, originally developed for bird management at airports, were assessed to determine their deterrent properties towards worms and slugs. Plots sown with endophyte-free ryegrass had significantly higher numbers of worms and slugs than plots containing the same grass cultivar infected with the endophyte strain AR95. Also, plots sown with endophyte-free tall fescue had significantly higher numbers of slugs (but not worms) than plots containing the same grass cultivar infected with the endophyte strain AR601. Although more research is required on the exact mechanism of action, these results suggest selected novel endophyte-infected grass associations, such as those including the endophyte AR95, may substantially reduce populations of worms and slugs in areas where these grasses are sown.
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