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ASRU Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Sidney, Montana

    Information is needed to mitigate dryland soil greenhouse gas (GHG) emissions by using novel management practices. We evaluated the effects of cropping sequence and N fertilization on dryland soil temperature and water content at the 0- to 15-cm depth and surface CO2, N2O, and CH4 fl uxes in a Williams loam (fi ne-loamy, mixed, superactive, frigid, Typic Argiustolls) in eastern Montana.

    Data from: Mitigating nitrogen pollution with under-sown legume-grass cover crop mixtures in winter cereals

      This study was part of a cover crop-based, organic rotational no-till cropping systems experiment conducted from 2015-2017 at Pennsylvania State University’s Russell E. Larson Agricultural Research Center in Rock Springs, PA, USA, employing a corn (*Zea mays* subsp. mays L.), soybean (*Glycine max* (L.) Merr.), spelt (*Triticum spelta* L.) rotation that is typical for feed and forage farmers in the Mid-Atlantic USA. Data include: Nitrate leaching from anion resin bags; Nitrous oxide fluxes from static chambers and isotopomers; Soil inorganic N including ammonium and nitrate; Soil moisture and temperature; Cover crop biomass as well as carbon and nitrogen content and nitrogen isotope ratios; Cash crop yields.

      Crop Sequence Calculator Version 3.1

        The Crop Sequence Calculator software is an interactive program for viewing crop sequencing information. The Crop Sequence Calculator program is designed to assist agricultural managers determine workable cropping sequences for the northern Great Plains. Version (3.1) contains the previous version (3.0) and adds new information gathered from additional cropping sequence research, as well as supplemental information related to use of annual crops as cover crops.

        Microbial community structure is affected by cropping sequences and poultry litter under long-term no-tillage

          Soil microorganisms play essential roles in soil organic matter dynamics and nutrient cycling in agroecosystems and have been used as soil quality indicators. The response of soil microbial communities to land management is complex and the long-term impacts of cropping systems on soil microbes is largely unknown. Therefore, changes in soil bacterial community composition were assessed in response to cropping sequences and bio-covers at long-term no-tillage sites.