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  1. Soil Test P value greater than 120 PPM (or P Risk Assessment of "High" to "Very High")

    https://agbmps.osu.edu/scenario/soil-test-p-value-greater-120-ppm-or-p-risk-assessment-high-very-high

    and filtering practices are highlighted at the end of this section Fertilizer rate determination and ... Sampling Identify lower testing field for application of organic nutrients. Use variable rate application ... where spatial variation results in a range of suggested nutrient application rates to avoid applications ...

  2. Blind Inlet (NRCS 620)

    https://agbmps.osu.edu/bmp/blind-inlet-nrcs-620

    lifetime did not appreciably decrease flow rates or cause maintenance issues. Monitoring throughout 12 ...

  3. Filter Strips/Grassed Riparian Buffers (NRCS 393 & 390)

    https://agbmps.osu.edu/bmp/filter-stripsgrassed-riparian-buffers-nrcs-393-390

    Kovacic, 1993). For tiled lands, nitrate removal varies with seasonal hydrology. The removal rate was 75 ...

  4. Restored Wetlands (NRCS 657)

    https://agbmps.osu.edu/bmp/restored-wetlands-nrcs-657

    a high Corn Suitability Rating (CSR 80) treating about 100 acres of drainage, would cost just over ...

  5. Amending Soils with Lime or Gypsum (NRCS 333)

    https://agbmps.osu.edu/bmp/amending-soils-lime-or-gypsum-nrcs-333

    production or when the field phosphorus index rates high or very high. One field experiment in Ohio measured ... information needed to evaluate the need for lime and determine rates of application of selected material. ...

  6. Surface applications of granular P containing fertilizer or manures.

    https://agbmps.osu.edu/scenario/surface-applications-granular-p-containing-fertilizer-or-manures

    manures tend to react similar to commercial fertilizer. BMP’s • Control rate- annual applications can ...

  7. Cover Crops (NRCS 340)

    https://agbmps.osu.edu/bmp/cover-crops-nrcs-340

    herbicides. Follow the herbicide label for rate and timing. Purdue Extension’s Successful Cover Crop ... benefits of cover crops. The tool uses cost inputs such as seed type and rate, planting, termination, and ...

  8. Tillage Intensity to Maintain Target Residue Cover (NRCS 329, 345 & 346)

    https://agbmps.osu.edu/bmp/tillage-intensity-maintain-target-residue-cover-nrcs-329-345-346

    study on two different soils found that infiltration rates were at least 1.9–4.2 times greater under ... al. (2012a) found that infiltration rates were at least 1.9 to 4.2 times greater under no-till when ...

  9. About Us

    https://mcic.osu.edu/about-us-and-contacts

    and  genotyping), and bioinformatics. The facility in Columbus has equipment for metabolomics and ... provides support for bioinformatics. Our mission is to support research at the Ohio State University by ... 43210 Phone: 614-292-7717   Jelmer Poelstra, PhD Research Associate,Bioinformatics poelstra.1@osu.edu ...

  10. MCIC Computational Biology Laboratory (MCBL)

    https://mcic.osu.edu/bioinformatics

    Our mission is to build core support and intellectual leadership in the area of bioinformatics to ... support for bioinformatics and other biological data analysis. We aspire for the MCBL to be the principal ... place for learning and performing bioinformatics research at the OARDC, the place where ideas are ...

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