2013 nue conference des moines, iowa august 5-7 jacob t. bushong
TRANSCRIPT
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DEVELOPMENT OF AN IN-SEASON ESTIMATE OF YIELD POTENTIAL
UTILIZING SOIL MOISTURE DATA FOR WINTER WHEAT
2013 NUE ConferenceDes Moines, Iowa
August 5-7
Jacob T. Bushong
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Current OSU winter wheat midseason N rate recommendations are determined using:
◦ Grain Yield Potential
◦ Response index (RI), N-Rich strip and the farmer practice
◦ Assumed maximum grain yield for the region
◦ Economic factors (grain price & fertilizer price)
Introduction
Farmer Practice
N-Rich Strip
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Based upon NDVI and GDD In-season estimate of yield (INSEY)=NDVI/GDD
Grain Yield Potential
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Aids in stand establishment and early vegetative growth
Increases nutrient uptake of mobile nutrients
Yields can be maximized if consistent available water is present throughout the growing season
Soil Moisture Impact on Grain Yield Potential
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To improve the current method for estimating in-season grain yield potential by utilizing soil moisture data.
Objective
Photo courtesy of Oklahoma State University
+ =
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Oklahoma Mesonet◦ Collaboration with Oklahoma State & University of Oklahoma◦ 120 automated weather monitoring stations statewide◦ Measures air temperature, wind speed, soil temperature,
soil moisture◦ Soil moisture data, since 1996
Weather Monitoring
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Soil Moisture◦ Heat dissipation sensors◦ Depths of 5, 25, 60, 75 cm◦ Data reported as
Fractional Water Index (FWI) Range from 0.00 to 1.00
Soil Temperature◦ Recorded at 1.5 m above
the surface
Soil Moisture & Temperature
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Downloaded from website◦ www.mesonet.org
Average daily values
SQL queries designed to retrieve desired data
Data Acquisition and Manipulation
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Normalized Difference Vegetation Index (NDVI)
Growing Degree Days (GDD’s)
Soil Moisture Factor (SMF)
Model Inputs
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Collected with Trimble Greenseeker Optical Sensor
Normalized Difference Vegetation Index (NDVI)
NDVIRED =ρ780 - ρ670
ρ780 +ρ670
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Current: Days from planting to sensing where the average daily temperature > 4.4 °C
Proposed: Days from planting to sensing where the average daily temperature > 4.4 °C and FWI > 0.30
Growing Degree Days (GDD’s)
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Stillwater, OK (2012-13)
9/30/2012 11/19/2012 1/8/2013 2/27/2013 4/18/2013 6/7/20130.00
0.10
0.20
0.30
0.40
0.50
0.00
0.20
0.40
0.60
0.80
1.00
Irrigated Non-Irrigated
FWI
ND
VI FW
I
GDD 47 77 98 136 180
Data sources: USGS Earth Explorer and Mesonet.org
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Proportion of 0-80cm PAW at sensing to the daily water use (ET) of the growing crop from sensing to harvest◦ Assumed harvest date of June 10◦ Assumed daily water use 5 mm day-1
FWI index converted to PAW utilizing soil water content values (PWP, FC, SAT) from USDA-NRCS soil survey
Value cannot exceed 1.0
Soil Moisture Factor (SMF)
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Lahoma: Grant silt loam (fine-silty, mixed, superactive, thermic Udic Argiustolls) Stillwater: Kirkland silt loam (fine, mixed, superactive, thermic Udertic Paleustolls) Perkins: Konawa fine sandy loam (fine-loamy, mixed, active, thermic Ultic Haplustalfs)
Model Calibration Sites
Data collected from 2003 to 2011 22 total site-years of data Plots had a wide range of pre-plant N
rates Data collected over a range of growth
stages (Feekes 3 to 10)
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Model Validation Sites Lahoma: Grant silt loam (fine-silty, mixed, superactive, thermic Udic Argiustolls) Stillwater: Kirkland silt loam (fine, mixed, superactive, thermic Udertic Paleustolls) Perkins: Konawa fine sandy loam (fine-loamy, mixed, active, thermic Ultic Haplustalfs) Hennessey: Bethany silt loam (fine, mixed, superactive, thermic Pachic Paluestolls) LCB: Port silt loam (fine-silty, mixed, superactive, thermic Cumulic Haplustolls) LCB: Konawa fine sandy loam (fine-loamy, mixed, active, thermic Ultic Haplustalfs)
Data collected from 2012 and 2013 11 total site-years of data Plots had a wide range of pre-plant N
rates Data collected over a range of growth
stages (Feekes 3 to 10)
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Stepwise regression was utilized◦ Maximize the adjusted R2
Three models developed◦ All Calibration Sites (Lahoma, Stillwater, Perkins)◦ Loamy Calibration Sites (Lahoma, Stillwater)◦ Coarse Calibration Site (Perkins)
Model Development
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All Sites Loamy Sites Coarse Sites
Parameter Est. Pr > |t| Est. Pr > |t| Est. Pr > |t|
Intercept 8.32 --- 9.62 --- 4.68 ---
GDD -0.09 <0.0001 -0.08 0.0320 -0.06 0.1261
SMF -10.66 <0.0001 -13.82 <0.0001 -5.03 0.2157
NDVI -15.68 <0.0001 -17.17 0.0005 -13.19 0.0356
GDD*SMF 0.11 <0.0001 0.11 0.0029 0.05 0.2408
GDD*NDVI 0.22 <0.0001 0.18 0.0051 0.23 0.0014
NDVI*SMF 25.80 <0.0001 31.44 <0.0001 16.51 0.0250
NDVI*GDD*SMF -0.28 <0.0001 -0.27 <0.0001 -0.22 0.0064
Model Parameters Estimates
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ValidationResults
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2012 FK 4
2012 FK 5
2012 FK 6
2012 FK 7
2012 FK 10
2012 All
2013 FK 4
2013 FK 5
2013 FK 7
2013 All
All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Loamy Sites New INSEY
Lahoma (Grant)R
2
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2012 FK 4
2012 FK 5
2012 FK 6
2012 FK 8
2012 FK 10
2012 All
2013 FK 7
All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Loamy Sites New INSEY
Stillwater (Kirkland)R
2
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2012 FK 4
2012 FK 5
2012 FK 6
2012 FK 7
2012 All
2013 FK 3
2013 FK 4
2013 FK 5
2013 FK 6
2013 FK 7
2013 FK 10
2013 All
All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Loamy Sites New INSEY
Hennessey (Bethany)R
2
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2012 FK
4
2012 FK
4
2012 FK
5
2012 FK
8
2012 All
2013 FK
3
2013 FK
7
2013 FK
9
2013 All
All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Loamy Sites New INSEY
Lake Carl Blackwell (Port)R
2
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FK 3 FK 4 FK 5 FK 6 FK 7 FK 8 FK 9 FK 10 All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Loamy Sites New INSEY
All Loamy SitesR
2
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2012 FK 4
2012 FK 5
2012 FK 6
2012 FK 8
2012 FK 10
2012 All
2013 FK 3
2013 FK 4
2013 FK 5
2013 FK 6
2013 FK 7
2013 FK 10
2013 All
All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Coarse Sites New INSEY
Perkins (Konawa)R
2
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2013 FK 3 2013 FK 4 2013 FK 5 2013 FK 7 2013 FK 10 2013 All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY Coarse Sites New INSEY
Lake Carl Blackwell (Konawa)
R2
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FK 3 FK 4 FK 5 FK 6 FK 7 FK 8 FK 10 All0.00
0.20
0.40
0.60
0.80
1.00 Current INSEY All Sites New INSEY Coarse Sites New INSEY
All Coarse SitesR
2
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FK 3 FK 4 FK 5 FK 6 FK 7 FK 8 FK 9 FK 10 All0.00
0.20
0.40
0.60
0.80
1.00Current INSEY All Sites New INSEY
All SitesR
2
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0 1 2 3 4 5 60
1
2
3
4
5
6
f(x) = 1.00046275471595 x + 0.254190036879882R² = 0.494351668999938
Act
ual Yi
eld
(M
g/h
a)
Predicted Yield (Mg/ha)0 1 2 3 4 5 6
0
1
2
3
4
5
6f(x) = 1.28260846253859 x + 0.294942703327537R² = 0.401827619304635
Predicted Yield (Mg/ha)
Act
ual Yi
eld
(M
g/h
a)
All SitesNew INSEY Current INSEY
RMSE = 0.92 RMSE = 0.95
XX
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Soil moisture at the time of sensing had a significant effect on final wheat grain yield for all locations
Models that included soil moisture parameters typically outperformed current models at most locations
One model developed from loamy and coarse textures sites is sufficient to use compared to having different models based on soil type.
Conclusions
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Investigate the GDD adjustment for soil moisture◦ What depth?◦ Soil moisture threshold?
Evaluate which estimate of grain yield provides the most accurate mid-season N rate recommendation
Evaluate if Vertisol soils can use the new model or if they need their own model
Next Steps
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Questions?