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  1. 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 ...

  2. Monday Morning Message, Feb. 7

    https://senr.osu.edu/email/monday-morning-message-feb-7

    rated his previous talks very highly!   A great update to this program last week was the addition of our ...

  3. 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. ...

  4. Alia Dietsch

    https://senr.osu.edu/our-people/alia-dietsch

    matter? The influence of age on response rates in a mixed-mode survey. Human Dimensions of Wildlife, ...

  5. 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 ...

  6. 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 ...

  7. SENR Director's Note 11.19

    https://senr.osu.edu/email/senr-directors-note-1119

    consistently rated a top experience of students in the class and it’s great to be able to offer it once again.  ...

  8. TWEL Evan Amber Thesis

    https://senr.osu.edu/node/9972

    VES and tin surveys in terms of detection rates, detection probability, and cost-efficiency; (3) ... therefore required longer camera trapping timeframes and higher array densities to achieve low error rates ...

  9. With NSF Investment Team to Study Use of Unmanned Aerial Systems to Monitor and Predict Wildland Fire Behavior in Eastern Forests

    https://senr.osu.edu/news/nsf-investment-team-study-use-unmanned-aerial-systems-monitor-and-predict-wildland-fire

    fuel factors in temperate hardwood forests influence fire intensity and rate of spread through ...

  10. TWEL Meaghan Gade Dissertation

    https://senr.osu.edu/node/9973

    decreases with elevation but reproductive rates and growth increase with elevation. Both survival and ...

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