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Methods and Materials Soils – 25 Kansas soils were dried for 48 h at 60 o C, ground, sieved to 2 mm. After preparation, soils were analyzed for Walkley-Black SOM content, KCl extractable nitrate, Mehlich 3 available P, 1:1 soil to water pH, and total N using a LecoTruspec CN. Example of linear equation format: Predicted soil property = Intercept + (750 nm reflectance x 750 nm coefficient) + (975 nm reflectance x 975 nm coefficient) + … Using Sensors to Determine Organic Matter, Nitrogen and Phosphorus in Kansas Soils Robert Florence, Ray Asebedo, Kevin Price, and David B. Mengel Department of Agronomy at Kansas State University, Manhattan, KS Email: [email protected] Introduction Conclusion Many wavelengths can be utilized to construct a linear equation to predict OM, total N and P. Moisture greatly affects soil reflectance. Moisture can be accounted for by using certain wavelengths, allowing a prediction across soil moisture content. It is important to note that these readings were done on bare soil. Readings in the field may have residue blocking soil reflectance, and will likely only give similar readings if the soil under the residue surface is exposed or extracted. For similar equations to be useful across a broad range of Kansas soils, many more samples beyond the number of wavelengths used as predictors must be included. Objectives To determine if useable correlations could be developed between wet lab analyses and spectrometer readings for SOM, total N and available P in Kansas soils. To establish the effect of soil moisture on the reflectance values of specific wavelengths and the measurement of the soil properties in question. Results Acknowledgments The authors would like to thank Nan An for technical support with the spectroradiometer, along with Lynn Hargrave and Kathy Lowe for soil analysis. Predicted versus measured values for 25 soils at 0% gravimetric moisture Effect of moisture on reflectance for 10 soils 0 50 100 150 200 250 -50 0 50 100 150 200 250 R² = 0.940473497049996 Phosphorus (ppm) Predicted 0 10 20 30 40 50 60 -10 0 10 20 30 40 50 60 R² = 0.506744983264503 Nitrate (ppm) Predicted 0 2 4 6 8 10 12 0 2 4 6 8 10 12 R² = 0.917828852061551 Walkley-Black OM (%) Predicted 0% gravimetric moisture 10% gravimetric moisture 20% gravimetric moisture Phosphorus Intercep t P-Value 179 0.14 Waveleng th (nm) Slope Coeffici ent P-Value 450 12496 0.0001 550 -16389 0.0008 650 125697 0.0001 670 -151041 0.0001 760 38603 0.0002 975 -8496 0.0003 1402 8915 0.0077 1675 -9900 0.0264 2132 11261 0.0213 2331 -8805 0.0085 0 0.1 0.2 0.3 0.4 0.5 0.0 0.1 0.2 0.3 0.4 0.5 R² = 0.87345075426371 Total Nitrogen (%) Predicted Predicted versus measured values for 10 soils with 0, 10, and 20% gravimetric water content 0 2 4 6 8 10 0 2 4 6 8 10 R² = 0.977622902565259 Walkley-Black OM (%) Predicted 0 0.1 0.2 0.3 0.4 0.5 0.0 0.1 0.2 0.3 0.4 0.5 R² = 0.977037969575949 Total Nitrogen (%) Predicted 0 50 100 150 200 250 -50 0 50 100 150 200 250 300 R² = 0.923826986647831 Phosphorus (ppm) Predicted Intercept P-Value 3 0.0393 Wavelength (nm) Slope Coefficient P-Value 450 43 0.0406 650 1022 0.0021 670 -2277 <0.0001 760 4631 <0.0001 785 -3614 <0.0001 975 197 <0.0001 1230 -112 0.0017 1402 108 0.0021 1675 63 0.0218 1905 56 <0.0001 2331 -147 <0.0001 Intercept P-Value 71 0.1146 Wavelength (nm) Slope Coefficient P-Value 650 43 <0.0001 670 1022 <0.0001 760 -2277 <0.0001 975 4631 0.0014 1230 -3614 <0.0001 1675 197 0.0001 2132 -112 0.0184 Intercept P-Value 0 0.049 Wavelength (nm) Slope Coefficient P-Value 450 4 0.0003 650 91 <0.0001 670 -166 <0.0001 760 222 <0.0001 785 -155 <0.0001 975 6 0.0045 1230 -8 <0.0001 1675 10 <0.0001 1905 5 <0.0001 2331 -9 <0.0001 Organic Matter Intercep t P-Value 10 0.026 Waveleng th (nm) Slope Coeffici ent P-Value 550 -83 0.02 975 205 0.011 1230 -441 0.002 1402 235 <0.0001 1675 560 0.01 2132 -209 <0.0001 Nitrate Intercep t P-Value 143 0.001 Waveleng th (nm) Slope Coeffici ent P-Value 450 1186 0.0207 550 -1327 0.0238 785 545 0.0226 1675 -402 0.0006 Water Content – Ten soils were prepared at 0, 10, and 20% gravimetric water content to determine the effect of soil water content on reflectance. Desired water content was created by placing 10 g of soil in a petri dish, and applying 0, 1, and 2 g of DI water with a micro pipette. Soil was mixed, allowed to equilibrate for 1d, and surface patted flat to reduce shadow effects. Spectrometer readings – Soils were further ground in a mortar and pestle, and placed in a Petri dish. Ten readings of multiple wavelengths between 450 and 2400 nm were made from each sample with an ASD spectroradiometer. Reflectance data was processed with ViewSpec Pro V.6.0 software. Statistical Analysis – Thirteen Wavelengths (450, 550, 650, 670, 760, 785, 975, 1230, 1402, 1675, 1905, 2132, and 2331 nm) were chosen from visual inspection of the spectra. Using SAS 9.2 (Cary, NC), backwards stepwise regression was performed on the soil properties to produce a linear equation using only wavelengths that showed significant reflectance at α = 0.05 level. Linear equations from stepwise regressions were used to predict soil properties. To evaluate the effect of soil moisture on reflectance, stepwise regression was performed on ten soils, each at three different moisture contents. Fertilizer nitrogen (N) and phosphorus (P) are important inputs used in crop production. Adequate levels of both N and P are important for achieving optimum crop yield. Unfortunately, over application of N and P can contribute to water quality issues. Soil organic matter (SOM) contributes available nitrogen throughout the growing season. KSU fertilizer recommendations currently credit 10 and 20 lbs of N/Acre to Winter and Summer crops, respectively, for each percent Walkley–Black OM. Nitrogen present from a previously failed crop may still reside in a soil prior to a new planting which would reduce the amount of N fertilizer required. Ability to measure OM, nitrate N, and available P in the field with a spectrometer would add another tool in the precise application of N fertilizer. Total Nitrogen Intercept P value .657 0.000 1 Wavelengt h (nm) Slope Coefficie nt P- Value 975 2.84 0.000 1 1230 -14.34 0.005 1 1402 17.67 <0.00 01 2331 -6.56 <0.00 01

Methods and Materials Soils – 25 Kansas soils were dried for 48 h at 60 o C, ground, sieved to 2 mm. After preparation, soils were analyzed for Walkley-Black

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Page 1: Methods and Materials Soils – 25 Kansas soils were dried for 48 h at 60 o C, ground, sieved to 2 mm. After preparation, soils were analyzed for Walkley-Black

Methods and MaterialsSoils – 25 Kansas soils were dried for 48 h at 60oC, ground, sieved to 2 mm. After preparation, soils were analyzed for Walkley-Black SOM content, KCl extractable nitrate, Mehlich 3 available P, 1:1 soil to water pH, and total N using a LecoTruspec CN.

Example of linear equation format:Predicted soil property

= Intercept + (750 nm reflectance x 750 nm coefficient) + (975 nm reflectance x 975 nm coefficient) + …

Using Sensors to Determine Organic Matter, Nitrogen and Phosphorus in Kansas Soils Robert Florence, Ray Asebedo, Kevin Price, and David B. Mengel

Department of Agronomy at Kansas State University, Manhattan, KSEmail: [email protected]

Introduction

ConclusionMany wavelengths can be utilized to construct a linear equation to predict OM, total N and P. Moisture greatly affects soil reflectance. Moisture can be accounted for by using certain wavelengths, allowing a prediction across soil moisture content. It is important to note that these readings were done on bare soil. Readings in the field may have residue blocking soil reflectance, and will likely only give similar readings if the soil under the residue surface is exposed or extracted. For similar equations to be useful across a broad range of Kansas soils, many more samples beyond the number of wavelengths used as predictors must be included.

ObjectivesTo determine if useable correlations could be developed between wet lab analyses and spectrometer readings for SOM, total N and available P in Kansas soils.

To establish the effect of soil moisture on the reflectance values of specific wavelengths and the measurement of the soil properties in question.

Results

AcknowledgmentsThe authors would like to thank Nan An for technical support with the spectroradiometer, along with Lynn Hargrave and Kathy Lowe for soil analysis.

Predicted versus measured values for 25 soils at 0% gravimetric moisture

Effect of moisture on reflectance for 10 soils

0 50 100 150 200 250

-50

0

50

100

150

200

250

R² = 0.940473497049996

Phosphorus (ppm)

Pred

icte

d

0 10 20 30 40 50 60

-10

0

10

20

30

40

50

60

R² = 0.506744983264503

Nitrate (ppm)

Pred

icte

d

0 2 4 6 8 10 120

2

4

6

8

10

12

R² = 0.917828852061551

Walkley-Black OM (%)

Pred

icte

d0% gravimetric moisture 10% gravimetric moisture 20% gravimetric moisture

Phosphorus

Intercept P-Value

179 0.14Wavelength

(nm)Slope

Coefficient P-Value

450 12496 0.0001550 -16389 0.0008650 125697 0.0001670 -151041 0.0001760 38603 0.0002975 -8496 0.0003

1402 8915 0.00771675 -9900 0.02642132 11261 0.02132331 -8805 0.0085

0 0.1 0.2 0.3 0.4 0.50.0

0.1

0.2

0.3

0.4

0.5

R² = 0.87345075426371

Total Nitrogen (%)

Pred

icte

d

Predicted versus measured values for 10 soils with 0, 10, and 20% gravimetric water content

0 2 4 6 8 100

2

4

6

8

10

R² = 0.977622902565259

Walkley-Black OM (%)

Pred

icte

d

0 0.1 0.2 0.3 0.4 0.50.0

0.1

0.2

0.3

0.4

0.5

R² = 0.977037969575949

Total Nitrogen (%)

Pred

icte

d

0 50 100 150 200 250-50

0

50

100

150

200

250

300

R² = 0.923826986647831

Phosphorus (ppm)

Pred

icte

d

Intercept P-Value

3 0.0393Wavelength (nm) Slope Coefficient P-Value

450 43 0.0406650 1022 0.0021670 -2277 <0.0001760 4631 <0.0001785 -3614 <0.0001975 197 <0.0001

1230 -112 0.00171402 108 0.00211675 63 0.02181905 56 <0.00012331 -147 <0.0001

Intercept P-Value

71 0.1146Wavelength (nm) Slope Coefficient P-Value

650 43 <0.0001670 1022 <0.0001760 -2277 <0.0001975 4631 0.0014

1230 -3614 <0.00011675 197 0.00012132 -112 0.0184

Intercept P-Value

0 0.049Wavelength (nm) Slope Coefficient P-Value

450 4 0.0003650 91 <0.0001670 -166 <0.0001760 222 <0.0001785 -155 <0.0001975 6 0.0045

1230 -8 <0.00011675 10 <0.00011905 5 <0.00012331 -9 <0.0001

Organic Matter

Intercept P-Value

10 0.026

Wavelength (nm)

Slope Coefficient P-Value

550 -83 0.02975 205 0.011

1230 -441 0.0021402 235 <0.00011675 560 0.012132 -209 <0.0001

Nitrate

Intercept P-Value

143 0.001Wavelength

(nm)Slope

Coefficient P-Value

450 1186 0.0207550 -1327 0.0238785 545 0.0226

1675 -402 0.0006

Water Content – Ten soils were prepared at 0, 10, and 20% gravimetric water content to determine the effect of soil water content on reflectance. Desired water content was created by placing 10 g of soil in a petri dish, and applying 0, 1, and 2 g of DI water with a micro pipette. Soil was mixed, allowed to equilibrate for 1d, and surface patted flat to reduce shadow effects.

Spectrometer readings – Soils were further ground in a mortar and pestle, and placed in a Petri dish. Ten readings of multiple wavelengths between 450 and 2400 nm were made from each sample with an ASD spectroradiometer. Reflectance data was processed with ViewSpec Pro V.6.0 software.

Statistical Analysis – Thirteen Wavelengths (450, 550, 650, 670, 760, 785, 975, 1230, 1402, 1675, 1905, 2132, and 2331 nm) were chosen from visual inspection of the spectra. Using SAS 9.2 (Cary, NC), backwards stepwise regression was performed on the soil properties to produce a linear equation using only wavelengths that showed significant reflectance at α = 0.05 level. Linear equations from stepwise regressions were used to predict soil properties. To evaluate the effect of soil moisture on reflectance, stepwise regression was performed on ten soils, each at three different moisture contents.

Fertilizer nitrogen (N) and phosphorus (P) are important inputs used in crop production. Adequate levels of both N and P are important for achieving optimum crop yield. Unfortunately, over application of N and P can contribute to water quality issues.

Soil organic matter (SOM) contributes available nitrogen throughout the growing season. KSU fertilizer recommendations currently credit 10 and 20 lbs of N/Acre to Winter and Summer crops, respectively, for each percent Walkley–Black OM. Nitrogen present from a previously failed crop may still reside in a soil prior to a new planting which would reduce the amount of N fertilizer required.

Ability to measure OM, nitrate N, and available P in the field with a spectrometer would add another tool in the precise application of N fertilizer.

Total Nitrogen

Intercept P value

.657 0.0001Wavelength

(nm)Slope

Coefficient P-Value

975 2.84 0.0001

1230 -14.34 0.0051

1402 17.67 <0.0001

2331 -6.56 <0.0001