Hybrid Maize Predictions - Welcome to the Illinois State ...

10
2012 Forecasted Corn Yield Potential based on simulations using Hybrid-Maize model Patricio Grassini, Haishun Yang, and Kenneth G. Cassman Department of Agronomy and Horticulture University of Nebraska-Lincoln July 1 st , 2012

Transcript of Hybrid Maize Predictions - Welcome to the Illinois State ...

Page 1: Hybrid Maize Predictions - Welcome to the Illinois State ...

2012 Forecasted Corn Yield Potential based on simulations

using Hybrid-Maize modelPatricio Grassini, Haishun Yang, and

Kenneth G. CassmanDepartment of Agronomy and Horticulture

University of Nebraska-LincolnJuly 1st, 2012

Page 2: Hybrid Maize Predictions - Welcome to the Illinois State ...

HybridHybrid--Maize modelMaize model Simulates growth and development of corn for yield

potential and water-limited situations. Temperature-driven growth and development functions

from CERES-Maize Mechanistic descriptions of light interception,

photosynthesis and organ-specific respiration from generic models (SUCROS/INTERCOM/WOFOST)

A linear relationship between growing degree-days (GDD) from emergence to silking and GDD from emergence to physiological maturity is used for prediction of day of silking

Yang, H.S., A. Dobermann, J.L. Lindquist, D.T. Walters, T.J. Arkebauer, and K.G. Cassman. 2004. Hybrid-Maize - a maize simulation model that combines two crop modeling approaches. Field Crops Res. 87:131-154.

Page 3: Hybrid Maize Predictions - Welcome to the Illinois State ...

User-friendly, robust, minimal input parameters, publicly available at: http://www.hybridmaize.unl.edu/

Page 4: Hybrid Maize Predictions - Welcome to the Illinois State ...

Daily intercepted solar radiation f(x)= solar radiation, LAI

Length crop cycle

Cumulative intercepted solar radiation

Gross assimilation

Dry matter production

Maintenance Respiration

Growth respiration

YIELD POTENTIAL

Kernel #

Kernel growth rate

Grain-filling duration

[around silking]

Kernel weight

[grain-filling]

Temperature

Crop models: tools to predict yield potential

Water supply

Page 5: Hybrid Maize Predictions - Welcome to the Illinois State ...

Validation of Hybrid Maize

1

4

7

10

13

16

19

1 4 7 10 13 16 19Observed maize yield (t ha-1)

Sim

ulat

ed m

aize

yie

ld (t

ha-1

)

IRRIGATEDRAINFED

HYBRID MAIZE(Grassini et al. , 2009)

RMSE = 1.1 t ha-11 to 1

line

1

4

7

10

13

16

19

1 4 7 10 13 16 19Observed maize yield (t ha-1)

Sim

ulat

ed m

aize

yie

ld (t

ha-1

)

IRRIGATEDRAINFED

HYBRID MAIZE(Grassini et al. , 2009)

RMSE = 1.1 t ha-1

1

4

7

10

13

16

19

1 4 7 10 13 16 19Observed maize yield (t ha-1)

Sim

ulat

ed m

aize

yie

ld (t

ha-1

)

IRRIGATEDRAINFED

HYBRID MAIZE(Grassini et al. , 2009)

RMSE = 1.1 t ha-1

1

4

7

10

13

16

19

1 4 7 10 13 16 19Observed maize yield (t ha-1)

Sim

ulat

ed m

aize

yie

ld (t

ha-1

)

IRRIGATEDRAINFED

HYBRID MAIZE(Grassini et al. , 2009)

RMSE = 1.1 t ha-11 to 1

line

Validation of Hybrid-Maize model for irrigated and rainfed crops grown under no nutrient limitations and kept free of diseases, insect pests, and weeds

Hybrid-Maize does not account for nutrient deficiencies, insect pests, diseases or weeds

Grassini et al., (2009), Agric. For. Meteoro. 149, 1254-1265

Page 6: Hybrid Maize Predictions - Welcome to the Illinois State ...

In-season yield forecastingUsing real-time climate data for a growing season : Estimate actual yield potential or water-limited yield based on

actual + historical daily records of solar radiation, temperature, and rainfall.

Decision aid for: comparing growth with normal years/other years. adjusting yield goal and making adjustments in fertilizer

amounts (sidedress, fertigation) evaluating soil moisture and making decisions on irrigation marketing decisions (farmers) grain purchasing decisions (feedlots, ethanol plants) overall corn production forecasts (policy makers, crop

insurance, markets, etc.)Yang, H.S., A. Dobermann, K.G. Cassman, D.T. Walters, 2006. Features,

applications, and limitations of the Hybrid Maize simulation model. Agronomy Journal 98:737-748.

Page 7: Hybrid Maize Predictions - Welcome to the Illinois State ...

0

50

100

150

200

250

300

29-Apr 19-May 8-Jun 28-Jun 18-Jul 7-Aug 27-Aug 16-SepDate of yield forecast

Fore

cast

ed c

orn

yiel

d (b

u ac

-1)

75%Most likely (median)25%Worst possibleLong-term medianBest possible

planting emergence silking maturity

Example 1: 2003 forecasted dryland corn yield at Mead NE

Sowing date: 30 April, Pioneer 114d RM, 26k plants ac-1, loam soil, fully-recharged profile at planting. Long-term simulated yield: 206 bu ac-1; 2003 simulated yield: 159 bu ac-1

Long-term mean yield

• Simulations were performed every 7 days based on actual weather until the date of the yield forecast and historical weather data to simulate the rest of the season; this gives a range of possible yields by the end of the season

• Note that the range of possible yields narrows as the crop approaches maturity

Page 8: Hybrid Maize Predictions - Welcome to the Illinois State ...

125

175

225

275

325

29-Apr 19-May 8-Jun 28-Jun 18-Jul 7-Aug 27-Aug 16-SepDate of yield forecast

Fore

cast

ed c

orn

yiel

d (b

u ac

-1)

75%Most likely (median)25%Worst possibleLong-term medianBest possible

planting emergence silking maturity

Sowing date: 30 April, Pioneer 114d RM, 30k plants ac-1

Long-term simulated yield: 236 bu ac-1; 2003 simulated yield: 258 bu ac-1

Example 2: 2004 forecasted irrigated corn yield at Mead NE

Long-term mean yield

• Simulations were performed every 7 days based on actual weather until the date of the yield forecast and historical weather data to simulate the rest of the season; this gives a range of possible yields by the end of the season

• Note that the range of possible yields narrows as the crop approaches maturity

Page 9: Hybrid Maize Predictions - Welcome to the Illinois State ...

Simulated locations across the U.S. Corn BeltStars indicate the sites for which in-season yield forecasting were performed using the Hybrid-Maize model with actual weather and dominant management practices and soil series at each site.

Weather data were retrieved from High Plain Regional Climate Center (HPRCC) and the Water and Atmospheric Resources Monitoring Program (WARM) through the Illinois Climate Network (Illinois State Water Survey [ICWS], Prairie Research Institute, University of Illinois at Urbana-Champaign).

Corn planted area is shown in green

Page 10: Hybrid Maize Predictions - Welcome to the Illinois State ...

Location, state Water regime

Soil type¶ & initial water

PP¶

(ac-1)RM¶

(days)Planting date†

Long-term Yp (bu/ac)‡

2012 forecasted Yp (bu/ac) 75th Median 25th

Holdrege, NE Irrigated Silt loam 32.4k 113 April 27 248 257 241 228Clay Center, NE Irrigated Silt clay loam 32.4k 113 April 23 250 263 244 232

Rainfed 100% ASW 24.0k April 23 146 153 123 103Mead, NE Irrigated Silt clay loam 32.4k 113 April 30 240 251 234 218

Rainfed 100% ASW 28.0k 160 173 145 129Concord, NE Irrigated Silt loam 32.4k 104 May 3 235 244 232 223

Rainfed 100% ASW 29.0k 154 180 148 110O’Neill, NE Irrigated Sandy loam

100% ASW32.4k 106 May 3 225 255 231 221

Brookings, SD Rainfed Silt clay loam 100% ASW

30.0k 98 May 4 120 150 132 99

Sutherland, IA Rainfed Silt clay loam100% ASW

31.4k 99 May 1 168 190 157 127

Gilbert, IA Rainfed Loam 100% ASW

32.4k 110 April 26 200 227 187 171

Nashua, IA Rainfed Loam 100% ASW

32.4k 99 May 1 198 225 191 156

Monmouth, IL Rainfed Silt loam 100% ASW

32.4k 112 April 27 212 229 186 161

DeKalb, IL Rainfed Silt clay loam 100% ASW

32.4k 111 May 1 201 252 197 165

Bondville, IL Rainfed Silt clay loam 100% ASW

32.4k 114 April 20 197 206 156 140

¶ Simulations based on dominant soil series, average planting date, and plant population (PP) and relative maturity (RM) of most widespread hybrid at each location (Grassini et al., 2009). ‡ Average (20+ years) simulated yield potential (Yp)

2012 In-season Yield Potential Forecasts using UNL Hybrid-Maize Model