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ScienceAlerts.com is an innovative new social networking site featuring the latest research in the biologic, agricultural, environmental, forestry, geographical and health sciences. The latest addition to this website is the Agricultural Research Category with over 80,000 articles selected from over 450 scientific agriculture publishing sources.
Bad Honnef, Germany (PRWEB) January 28, 2013
ScienceAlerts.com is a social networking site featuring the latest Agricultural Research content. Besides this newly added category, it also features the basic and applied sciences of biology, environment, forestry, geography and health. Currently, 27,850 members are monitoring 6,340 scientific publishing sources active in these fields and have contributed a total of 1,188,500 posts to the site. The latest additions to the site are aggregated on the frontpage as well as in an Agricultural Research Social Network RSS Feed.
ScienceAlerts.com's new Agricultural Research Category covers the cultivation and production of crops, raising of livestock, and postharvest processing of natural products. It currently contains 80,037 posts in part stemming from 451 scholarly agriculture journals. This category also provides an Agricultural Research RSS feed which is the best way of staying updated with the latest contributions to this science discipline. One of the latest articles in this category covers testing of Perilla frutescens extract and Vicenin 2 for their antispasmodic effect. Although they had no direct spasmolytic effect, both decreased acetylcholine- or Ba2+-induced contraction of rat ileum indicating an antispasmodic effect. The extract and the compound may, therefore, be used to maintain and improve gut health. Another newly included article in this category demonstrate the effects of climate variability and the color of weather time series on agricultural diseases and pests, and on decisions for their management. The authors of this article developed a theoretical model of yield loss to diseases and pests as a function of weather, and used this model to evaluate the effects of variance in conduciveness to loss and the effects of the color of time series of weather conduciveness to loss. Their model indicates that increased variance under climate change can either increase or reduce yield losses. A related article assesses uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models. These simulations indicate increased grass yields, mainly due to increased temperatures. Risk of frost damage is predicted to increase for some but not all locations.
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