Dataset Identification:
Resource Abstract:
- description: <p><a href="https://snap.brc.tamus.edu/Home/Index">SNAP (Soil Nutrient Assessment Program)</a>,
a component of the <a href="https://soilandwaterhub.brc.tamus.edu/Home/Index">USDA/ARS Soil and Water Hub</a>,
is a web-based tool that provides an estimate of plant-available nutrients that the soil naturally provides.</p> <p>Soil
test fertilizer recommendations have long been predicated upon response curves generated from fertility trials across the
country. These response curves have been compared to relative yield which provide probability ranges for a response to varying
fertilizer inputs. Category responses include very low, low, adequate, high or very high inversely related to probability
of a response to various inputs of nitrogen, phosphate, and potassium (N, P, and K).</p> <p>New soil test methods,
increases in computing power and access to the internet have enabled development of an interactive tool that is based on plant
available NPK from both the inorganic fraction and organic pool of the soil. The new methods provide an estimate of plant
available nutrients that the soil naturally provides, which has largely been ignored for decades.</p> <p>Since
we have access to large datasets we can calculate the amounts of NPK required growing crops in lbs NPK per bu of the desired
crop. For example, it requires 100 lbs of N, 50 lbs P2O5, 50 lbs K2O to grow 100 bu corn. These are the base numbers from
which we subtract the soil test data after converting from the analytical ppm to Lbs P2O5 or lbs K2O. This is a straight subtraction.
It also eliminates the need for "calibration data" since the soil tests reflect the soils inherent fertility. Using
the example above, of 100, 50, 50 of N, P, and K required and soil test results of 25, 35, 45 then the fertilizer needed would
be 75 N, 15 P2O5 and 5 K2O. This is a simple approach that doesn't get lost in relative yield-crop response curves that
have been used for decades from differing geographical areas.</p> <p>This tool will include current fertilizer
prices, soil test inputs, and crop based county averages for the last 15 years that will predict the chances of making the
yield goal the user inputs compared to historical yield data for their county and calculate the fertilizer cost with and without
soil testing compared to user input yield goal and county average. This tool will allow the user via the internet to produce
a more straightforward approach to realistically planning next year's fertilizer inputs and associated cost. It will
also show the benefits of soil testing for increased fertilizer efficiency and reduced environmental impact.</p>; abstract:
<p><a href="https://snap.brc.tamus.edu/Home/Index">SNAP (Soil Nutrient Assessment Program)</a>,
a component of the <a href="https://soilandwaterhub.brc.tamus.edu/Home/Index">USDA/ARS Soil and Water Hub</a>,
is a web-based tool that provides an estimate of plant-available nutrients that the soil naturally provides.</p> <p>Soil
test fertilizer recommendations have long been predicated upon response curves generated from fertility trials across the
country. These response curves have been compared to relative yield which provide probability ranges for a response to varying
fertilizer inputs. Category responses include very low, low, adequate, high or very high inversely related to probability
of a response to various inputs of nitrogen, phosphate, and potassium (N, P, and K).</p> <p>New soil test methods,
increases in computing power and access to the internet have enabled development of an interactive tool that is based on plant
available NPK from both the inorganic fraction and organic pool of the soil. The new methods provide an estimate of plant
available nutrients that the soil naturally provides, which has largely been ignored for decades.</p> <p>Since
we have access to large datasets we can calculate the amounts of NPK required growing crops in lbs NPK per bu of the desired
crop. For example, it requires 100 lbs of N, 50 lbs P2O5, 50 lbs K2O to grow 100 bu corn. These are the base numbers from
which we subtract the soil test data after converting from the analytical ppm to Lbs P2O5 or lbs K2O. This is a straight subtraction.
It also eliminates the need for "calibration data" since the soil tests reflect the soils inherent fertility. Using
the example above, of 100, 50, 50 of N, P, and K required and soil test results of 25, 35, 45 then the fertilizer needed would
be 75 N, 15 P2O5 and 5 K2O. This is a simple approach that doesn't get lost in relative yield-crop response curves that
have been used for decades from differing geographical areas.</p> <p>This tool will include current fertilizer
prices, soil test inputs, and crop based county averages for the last 15 years that will predict the chances of making the
yield goal the user inputs compared to historical yield data for their county and calculate the fertilizer cost with and without
soil testing compared to user input yield goal and county average. This tool will allow the user via the internet to produce
a more straightforward approach to realistically planning next year's fertilizer inputs and associated cost. It will
also show the benefits of soil testing for increased fertilizer efficiency and reduced environmental impact.</p>
Citation
- Title SNAP - Soil Nutrient Assessment Program.
-
- creation Date
2018-06-08T21:35:18.646522
Resource language:
Processing environment:
Back to top:
Digital Transfer Options
-
- Linkage for online resource
-
- name Dublin Core references URL
- URL: https://snap.brc.tamus.edu/Home/Index
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T22:32:34Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T22:32:34Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:7f1cab4a-8933-4d30-98f0-aa27f79e5163
Metadata record format is ISO19139 XML (MD_Metadata)