Abstract: Methods, systems, and techniques for agricultural greenhouse gas estimation. Farm data in the form of at least one of revenue generated by a farm, crop information for one or more crops grown on the farm, and land use/farm practice data for land used on the farm to grow the one or more crops is obtained. An emissions estimate is determined based on the obtained data and caused to be displayed to the user via a graphical user interface. A user may be a person responsible for managing multiple farms. That user may be presented with aggregate emissions-related information for all farms, including projected future emissions under various scenarios, and may also iteratively experiment with different farm data values in order to attempt to reduce projected emissions or increase data quality/emissions estimate accuracy.

Abstract: The process is applicable to the supernatant of engineered yeast cells disrupted in the presence of a non-ionic detergent; it comprises the precipitation of contaminants by polyethylene glycol and the treatment of this latter supernatant with either a bivalent metal cation or, after eventual ultrafiltration, with ammonium sulfate.

Abstract: The process is applicable to the supernatant of engineered yeast cells disrupted in the presence of a non-ionic detergent: it comprises the precipitation of contaminants by polyethylene glycol and the treatment cation or, after eventual ultrafiltration, with ammonium sulfate.