Location: Pasture Systems & Watershed Management Research
Title: FRST: A national soil testing database to improve fertility recommendationsAuthor
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LYONS, SARAH - North Carolina State University |
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OSMOND, DEANNA - North Carolina State University |
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SLATON, NATHAN - University Of Arkansas |
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SPARGO, JOHN - Pennsylvania State University |
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Kleinman, Peter |
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Arthur, Dan |
Submitted to: Agricultural & Environmental Letters
Publication Type: Review Article Publication Acceptance Date: 2/6/2020 Publication Date: 3/4/2020 Citation: Lyons, S.E., Osmond, D.L., Slaton, N.A., Spargo, J.T., Kleinman, P.J., Arthur, D.K. 2020. FRST: A national soil testing database to improve fertility recommendations. Agricultural and Environmental Letters. 5:1-5. https://doi.org/10.1002/ael2.20008. DOI: https://doi.org/10.1002/ael2.20008 Interpretive Summary: No Interpretive Summary is required for this Review Article. JLB. Technical Abstract: Soil testing is an important practice to inform nutrient management in modern agricultural production systems. In the USA, soil-test methods and interpretations vary across state lines making institutional collaborations challenging and crop fertilization guidelines inconsistent. Uniformity and transparency in P and K soil fertility testing and fertilizer recommendation methods are needed to enhance end-user adoption. The Fertilizer Recommendation System Tool (FRST) Project is developing a comprehensive database of P and K correlation-calibration study results that can be accessed through an interactive online tool for use in research and development of fertilization recommendations. This collaborative project, which includes over 25 land-grant universities, the Agricultural Research Service, and several not-for-profit ogranaizations, contains a national survey describing the current status of soil testing, the minimum requirements for correlation-calibration study data inclusion, database population, and creating FRST as a user-friendly online decision support tool. The FRST project will provide more consistent, transparent, and science-based decision support for nutrient recommendations across the USA for major crops. |