Agriculture @ ScienceAlerts.com
Bad Honnef, Germany (PRWEB) October 25, 2012
ScienceAlerts.com is an Agriculture Social Network to discover and share scholarly content in in the basic and applied sciences of agriculture, biology, environment, forestry, geography and health. Up to now, 23,321 members have signed up and have actively contributed 1,064,854 posts to the site. The latest additions to the site are aggregated on the frontpage as well as in a Sciences RSS Feed. The new Agricultural Sciences category currently features 72,018 posts exclusively selected from 357 scientific health publishing sources.
ScienceAlerts.com's Agriculture Category covers the effects of disease and medical treatment on the overall condition of organisms. It currently contains 72,018 posts selected from 357 scholarly agriculture journals. This category also provides an Agriculture RSS feed which is one of the best and most popular ways of staying up to date with the latest news in this science discipline. One of the latest articles features reintroduction of grazing management after deforestation of formerly abandoned grassland and its effect on early vegetation changes in the Western Carpathians (Slovakia). The restoration of grassland following deforestation of formerly reforested grassland area by grazing management was a relatively fast process, and swards were created after 3 years. Forage quality of all managed treatments was sufficient for the demands of beef cattle grazing. Another article covers field evaluation of mutant and hybrid lines of mint for resistance to Verticillium wilt and yield. Results indicate that Verticillium wilt resistance and yield can be improved in commercial mint cultivars.
ScienceAlerts.com's rigorous review process ensures that only relevant content is featured on the site. Since new science content is discovered in real-time, the delay between original publication and appearance at ScienceAlerts.com is usually only minutes. ScienceAlerts.com includes a search feature to retrieve specific titles or keywords from its' database. In addition, it suggests up to ten related articles for each article selected.