In a special Soil Measurement & Methods section of Vadose Zone Journal, scientists review the state-of-the-art tools for measuring water content in soil
Growing grapes for wine is tightly linked to soil moisture: too little, and the crop can be lost, but an oversupply of water tends to favor leaf development at the expense of fruit quality. It is often difficult to determine which portions of the vineyards require more or less irrigation due to California wine countrys natural geologic variations that control the moisture in soil. These natural variations, which appear over short distances, hamper the ability to map soil moisture of an entire field using conventional measurement techniques. Enter GPR, or ground penetrating radar.
In recent years, many researchers have made progress in the use of GPR as an alternative for TDR, time domain reflectometers, for determining field-scale variations of soil water content. These early TDR sensors came about in the 1980s and utilized the influence of water on the velocity of electromagnetic waves to obtain accurate measurements of soil water content; however, assessment of an entire field remained a tedious task because of the need to install a large number of TDR sensors to adequately cover the field. To overcome these difficulties, scientists have used GPR methods to map a fields varied soil moisture, as in the case with the California vineyards.
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Many pathogens use certain sugar compounds from their host to help conceal themselves against the immune system. Scientists at the University of Bonn have now, in cooperation with researchers at the University of York in the United Kingdom, analyzed the dynamics of a bacterial molecule that is involved in this process. They demonstrate that the protein grabs onto the sugar molecule with a Pac Man-like chewing motion and holds it until it can be used. Their results could help design therapeutics that could make the protein poorer at grabbing and holding and hence compromise the pathogen in the host. The study has now been published in “Biophysical Journal”.
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UMD, NOAA collaboration demonstrates suitability of in-orbit datasets for weather satellite calibration
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