Which Soils Should Respond To Sulfur Applications - Dr. Sakthi Kumaran Subburayalu, Central State University, from the 2018 Conservation Tillage and Technology Conference, March 6 - 7, Ada, OH, USA.
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Dr. Sakthi Kumaran Subburayalu - Which Soils Should Respond To Sulfur Applications
1. Is Crop Response to Sulfur
Application Likely?
Sakthi Subburayalua, Steve Culmanb , Eric Salasa, Warren Dick
a Agricultural Research and Development Program, Central State University, OH 45384
b School of Environment and Natural Resources, The Ohio State University, OH 43210
• Developed a model-based sulfur availability index
• The gSSURGO data, and other freely available geodatabases at
the national scale were processed to retrieve factors (layers) that
determine sulfur availability
• A sulfur availability index was computed for low and high sulfur
requirement crops
• A prototype GIS based web tool was developed for data retrieval
by end users
5. N Index = S (mineralized) + S (deposited) –S (required by crops)
Crop
Requirement
Potential Total S
Input
( mineralized +
deposited) kg S
ha-1 year -1
Potential S
minus Crop S
requirement
(kg S ha-1 year -
1)
Net Availab-
-ility Index (N)
Low (High)
Low = 15 Kg
S/ha
High = 30 Kg
S/ha
0-10
(0-25)
-15 to -5
(-30 to -5)
0
>10-20
(>25-35)
-5 to 5
(-5 to 5)
2
>20-30
(>35-45)
5 to 15
(5 to 15)
3
>30-45
(>45-60)
15 to 30
( 15 to 30)
4
>45 (>60) >30 ( >30) 5
6. Variables Values Index
pH (P)
Source: gSSURGO
<4 1
4-6 2
>6 3
Percent Clay (C)
Source: gSSURGO
>28 1
14-28 2
<14 3
Precipitation (mm) (R)
Source: PRISM 30 yr Climate Normal
<700 1
700-850 2
850-1000 3
>1000 4
Hydrologic Soil Group (HSG)
Source: gSSURGO
D 1
B or C or Dual Group 2
A 3
Leaching Index (L)= Index(R+(C+P)/2+HSG)
7.
8. S
Availability
Score
S Availability
Index
(SAI)
Response to S fertilization
will..
-10 to -7.5 Highly deficient Almost always occur
-7.5 to -6 Moderately
deficient
Usually occur
-6 to -3 Variably
deficient
Often occur depending on
specific crop conditions
(rainfall etc.)
-3 to -1 Sufficient Unlikely but might occur
under certain conditions
-1 to 1 Highly sufficient Unlikely under any
circumstances
Availability Score = N Index-L Index
10. How much of each State is cultivated?
Top 5 States with Largest Total Cultivated Area (in 1000 acres):
- Kansas
- Iowa
- North Dakota
- Texas
- Illinois
11. Percentage Distribution of the Five Sulfur Availability
Classes in Every State
(Low-Requirement Crops)
For Low-Requirement Crops
Example: 65.8% of the state of Iowa is
cultivated. The cultivated land is further
divided into these categories:
%
Highly Deficient 15.66
Moderately Deficient 33.41
Variably Deficient 50.50
Sufficient 0.42
Highly Sufficient 0.008
12. Percentage Distribution of the Five Sulfur Availability
Classes per State
(High-Requirement Crops)
For High-Requirement Crops
Example: 65.8% of the state of
Iowa is cultivated. The cultivated
land is further divided into these
categories:
%
Highly Deficient 21.85
Moderately Deficient 40.34
Variably Deficient 3.43
Sufficient 0.18
Highly Sufficient 0.00
13. States ranking in the "Highly Deficient” category
Low-Requirement Crops
About 98.3% of the
cultivated land in Georgia
falls under the “Highly
Deficient” category
State Code
%Relative to cultivated area
of each State
GA 98.3
SC 96.4
NJ 84.1
VA 83.0
NC 82.2
14. States ranking for the "Highly Deficient” category
High-Requirement Crops
About 99.5% of its
cultivated land falling
under the “Highly
Deficient” category
State Code
%Relative to cultivated area
in each State
GA 99.5
SC 97.9
DE 97.0
CT 94.5
MD 94.2
15. Sulfur Availability for Low and High Requirement
Crops in Ohio
Note: No county in Ohio has cultivated lands that belong to
the class “Highly Sufficient.”
Low-Requirement
Crops
High-Requirement Crops
19. ACKNOWLEDGEMENTS
This work is supported by Critical Agricultural Research and
Extension Program, grant no. 2016-68008-25036/CRIS no.
1009177 from the USDA National Institute of Food and
Agriculture.
THANK YOU
Editor's Notes
For rapid assessment of sulfur availability across the varying agricultural landscapes in the US, we have developed a model-based sulfur availability index
The gSSURGO data, and other freely available geodatabases at the national scale were processed to retrieve factors (layers) that determine sulfur availability in agricultural landscapes
A sulfur availability index was computed for low and high sulfur requirement crops by combining the above retrieved factors
A prototype GIS based web tool was developed for data retrieval by end users
For rapid assessment of sulfur availability across the varying agricultural landscapes in the US, we have developed a model-based sulfur availability index
The gSSURGO data, and other freely available geodatabases at the national scale were processed to retrieve factors (layers) that determine sulfur availability in agricultural landscapes
A sulfur availability index was computed for low and high sulfur requirement crops by combining the above retrieved factors
A prototype GIS based web tool was developed for data retrieval by end users
For rapid assessment of sulfur availability across the varying agricultural landscapes in the US, we have developed a model-based sulfur availability index
The gSSURGO data, and other freely available geodatabases at the national scale were processed to retrieve factors (layers) that determine sulfur availability in agricultural landscapes
A sulfur availability index was computed for low and high sulfur requirement crops by combining the above retrieved factors
A prototype GIS based web tool was developed for data retrieval by end users
For rapid assessment of sulfur availability across the varying agricultural landscapes in the US, we have developed a model-based sulfur availability index
The gSSURGO data, and other freely available geodatabases at the national scale were processed to retrieve factors (layers) that determine sulfur availability in agricultural landscapes
A sulfur availability index was computed for low and high sulfur requirement crops by combining the above retrieved factors
A prototype GIS based web tool was developed for data retrieval by end users
For rapid assessment of sulfur availability across the varying agricultural landscapes in the US, we have developed a model-based sulfur availability index
The gSSURGO data, and other freely available geodatabases at the national scale were processed to retrieve factors (layers) that determine sulfur availability in agricultural landscapes
A sulfur availability index was computed for low and high sulfur requirement crops by combining the above retrieved factors
A prototype GIS based web tool was developed for data retrieval by end users