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Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu Jawoo Koo (IFPRI) Africa RISING Monitoring and Evaluation Meeting Arusha, Tanzania, 13-14 November 2014

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Presented by Jawoo Koo (IFPRI) at the Africa RISING Monitoring and Evaluation Meeting, Arusha, Tanzania, 13-14 November 2014

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Page 1: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Ex-ante modeling analysis of maize yield responses to nutrient management options in

Malawi:

Action Sites – Dedza & Ntcheu

Jawoo Koo (IFPRI)

Africa RISING Monitoring and Evaluation MeetingArusha, Tanzania, 13-14 November 2014

Page 2: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

MANAGEMENT

• Planting window

• Planting density

• Irrigation

• Inorganic fertilizer

• Organic manure

• Tillage

• Residue

CULTIVAR

• Phenology

• Max # of kernels

• Kernel filling rate

*DSSAT Cropping System Model Ver. 4.0.2.000 May 21, 2009; 16:32:33

*RUN 1 : RAINFED LOW NITROGEN MODEL : MZCER040 - MAIZE EXPERIMENT : UFGA8201 MZ NIT X IRR, GAINESVILLE 2N*3I TREATMENT 1 : RAINFED LOW NITROGEN CROP : MAIZE CULTIVAR : McCurdy 84aa ECOTYPE :IB0002 STARTING DATE : FEB 25 1982 PLANTING DATE : FEB 26 1982 PLANTS/m2 : 7.2 ROW SPACING : 61.cm WEATHER : UFGA 1982 SOIL : IBMZ910014 TEXTURE : - Millhopper Fine Sand SOIL INITIAL C : DEPTH:180cm EXTR. H2O:160.9mm NO3: 2.5kg/ha NH4: 12.9kg/ha WATER BALANCE : IRRIGATE ON REPORTED DATE(S) IRRIGATION : 13 mm IN 1 APPLICATIONS NITROGEN BAL. : SOIL-N & N-UPTAKE SIMULATION; NO N-FIXATION N-FERTILIZER : 116 kg/ha IN 3 APPLICATIONS RESIDUE/MANURE : INITIAL : 1000 kg/ha ; 0 kg/ha IN 0 APPLICATIONS ENVIRONM. OPT. : DAYL= 0.00 SRAD= 0.00 TMAX= 0.00 TMIN= 0.00

RAIN= 0.00 CO2 = R330.00 DEW = 0.00 WIND= 0.00 SIMULATION OPT : WATER :Y NITROGEN:Y N-FIX:N PHOSPH :N PESTS :N

PHOTO :C ET :R INFIL:S HYDROL :R SOM :G MANAGEMENT OPT : PLANTING:R IRRIG :R FERT :R RESIDUE:N HARVEST:M WTH:M *SUMMARY OF SOIL AND GENETIC INPUT PARAMETERS

SOIL LOWER UPPER SAT EXTR INIT ROOT BULK pH NO3 NH4 ORG DEPTH LIMIT LIMIT SW SW SW DIST DENS C cm cm3/cm3 cm3/cm3 cm3/cm3 g/cm3 ugN/g ugN/g %

-------------------------------------------------------------------------------0- 5 0.026 0.096 0.230 0.070 0.086 1.00 1.30 7.00 0.10 0.50 2.00 5- 15 0.025 0.086 0.230 0.061 0.086 1.00 1.30 7.00 0.10 0.50 1.00

15- 30 0.025 0.086 0.230 0.061 0.086 0.70 1.40 7.00 0.10 0.50 1.00 30- 45 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 45- 60 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 60- 90 0.028 0.090 0.230 0.062 0.076 0.05 1.45 7.00 0.10 0.60 0.10 90-120 0.028 0.090 0.230 0.062 0.076 0.03 1.45 7.00 0.10 0.50 0.10 120-150 0.029 0.130 0.230 0.101 0.130 0.00 1.45 7.00 0.10 0.50 0.04 150-180 0.070 0.258 0.360 0.188 0.258 0.00 1.20 7.00 0.10 0.50 0.24

TOT-180 6.2 22.2 45.3 16.1 21.4 <--cm - kg/ha--> 2.5 12.9 87080 SOIL ALBEDO : 0.18 EVAPORATION LIMIT : 2.00 MIN. FACTOR : 1.00 RUNOFF CURVE # :60.00 DRAINAGE RATE : 0.65 FERT. FACTOR : 0.80

MAIZE CULTIVAR :IB0035-McCurdy 84aa ECOTYPE :IB0002 P1 : 265.00 P2 : 0.3000 P5 : 920.00 G2 : 990.00 G3 : 8.500 PHINT : 39.000

*SIMULATED CROP AND SOIL STATUS AT MAIN DEVELOPMENT STAGES

RUN NO. 1 RAINFED LOW NITROGEN

CROP GROWTH BIOMASS CROP N STRESS DATE AGE STAGE kg/ha LAI kg/ha % H2O N

------ --- ---------- ----- ----- --- --- ---- ----25 FEB 0 Start Sim 0 0.00 0 0.0 0.00 0.0026 FEB 0 Sowing 0 0.00 0 0.0 0.00 0.0027 FEB 1 Germinate 0 0.00 0 0.0 0.00 0.009 MAR 11 Emergence 29 0.00 1 4.4 0.00 0.00

27 MAR 29 End Juveni 251 0.43 4 1.6 0.00 0.091 APR 34 Floral Ini 304 0.44 4 1.5 0.00 0.50

*DSSAT Cropping System Model Ver. 4.0.2.000 May 21, 2009; 16:32:33

*RUN 1 : RAINFED LOW NITROGEN MODEL : MZCER040 - MAIZE EXPERIMENT : UFGA8201 MZ NIT X IRR, GAINESVILLE 2N*3I TREATMENT 1 : RAINFED LOW NITROGEN CROP : MAIZE CULTIVAR : McCurdy 84aa ECOTYPE :IB0002 STARTING DATE : FEB 25 1982 PLANTING DATE : FEB 26 1982 PLANTS/m2 : 7.2 ROW SPACING : 61.cm WEATHER : UFGA 1982 SOIL : IBMZ910014 TEXTURE : - Millhopper Fine Sand SOIL INITIAL C : DEPTH:180cm EXTR. H2O:160.9mm NO3: 2.5kg/ha NH4: 12.9kg/ha WATER BALANCE : IRRIGATE ON REPORTED DATE(S) IRRIGATION : 13 mm IN 1 APPLICATIONS NITROGEN BAL. : SOIL-N & N-UPTAKE SIMULATION; NO N-FIXATION N-FERTILIZER : 116 kg/ha IN 3 APPLICATIONS RESIDUE/MANURE : INITIAL : 1000 kg/ha ; 0 kg/ha IN 0 APPLICATIONS ENVIRONM. OPT. : DAYL= 0.00 SRAD= 0.00 TMAX= 0.00 TMIN= 0.00

RAIN= 0.00 CO2 = R330.00 DEW = 0.00 WIND= 0.00 SIMULATION OPT : WATER :Y NITROGEN:Y N-FIX:N PHOSPH :N PESTS :N

PHOTO :C ET :R INFIL:S HYDROL :R SOM :G MANAGEMENT OPT : PLANTING:R IRRIG :R FERT :R RESIDUE:N HARVEST:M WTH:M *SUMMARY OF SOIL AND GENETIC INPUT PARAMETERS

SOIL LOWER UPPER SAT EXTR INIT ROOT BULK pH NO3 NH4 ORG DEPTH LIMIT LIMIT SW SW SW DIST DENS C cm cm3/cm3 cm3/cm3 cm3/cm3 g/cm3 ugN/g ugN/g %

-------------------------------------------------------------------------------0- 5 0.026 0.096 0.230 0.070 0.086 1.00 1.30 7.00 0.10 0.50 2.00 5- 15 0.025 0.086 0.230 0.061 0.086 1.00 1.30 7.00 0.10 0.50 1.00

15- 30 0.025 0.086 0.230 0.061 0.086 0.70 1.40 7.00 0.10 0.50 1.00 30- 45 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 45- 60 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 60- 90 0.028 0.090 0.230 0.062 0.076 0.05 1.45 7.00 0.10 0.60 0.10 90-120 0.028 0.090 0.230 0.062 0.076 0.03 1.45 7.00 0.10 0.50 0.10 120-150 0.029 0.130 0.230 0.101 0.130 0.00 1.45 7.00 0.10 0.50 0.04 150-180 0.070 0.258 0.360 0.188 0.258 0.00 1.20 7.00 0.10 0.50 0.24

TOT-180 6.2 22.2 45.3 16.1 21.4 <--cm - kg/ha--> 2.5 12.9 87080 SOIL ALBEDO : 0.18 EVAPORATION LIMIT : 2.00 MIN. FACTOR : 1.00 RUNOFF CURVE # :60.00 DRAINAGE RATE : 0.65 FERT. FACTOR : 0.80

MAIZE CULTIVAR :IB0035-McCurdy 84aa ECOTYPE :IB0002 P1 : 265.00 P2 : 0.3000 P5 : 920.00 G2 : 990.00 G3 : 8.500 PHINT : 39.000

*SIMULATED CROP AND SOIL STATUS AT MAIN DEVELOPMENT STAGES

RUN NO. 1 RAINFED LOW NITROGEN

CROP GROWTH BIOMASS CROP N STRESS DATE AGE STAGE kg/ha LAI kg/ha % H2O N

------ --- ---------- ----- ----- --- --- ---- ----25 FEB 0 Start Sim 0 0.00 0 0.0 0.00 0.0026 FEB 0 Sowing 0 0.00 0 0.0 0.00 0.0027 FEB 1 Germinate 0 0.00 0 0.0 0.00 0.009 MAR 11 Emergence 29 0.00 1 4.4 0.00 0.00

27 MAR 29 End Juveni 251 0.43 4 1.6 0.00 0.091 APR 34 Floral Ini 304 0.44 4 1.5 0.00 0.50

*DSSAT Cropping System Model Ver. 4.0.2.000 May 21, 2009; 16:32:33

*RUN 1 : RAINFED LOW NITROGEN MODEL : MZCER040 - MAIZE EXPERIMENT : UFGA8201 MZ NIT X IRR, GAINESVILLE 2N*3I TREATMENT 1 : RAINFED LOW NITROGEN CROP : MAIZE CULTIVAR : McCurdy 84aa ECOTYPE :IB0002 STARTING DATE : FEB 25 1982 PLANTING DATE : FEB 26 1982 PLANTS/m2 : 7.2 ROW SPACING : 61.cm WEATHER : UFGA 1982 SOIL : IBMZ910014 TEXTURE : - Millhopper Fine Sand SOIL INITIAL C : DEPTH:180cm EXTR. H2O:160.9mm NO3: 2.5kg/ha NH4: 12.9kg/ha WATER BALANCE : IRRIGATE ON REPORTED DATE(S) IRRIGATION : 13 mm IN 1 APPLICATIONS NITROGEN BAL. : SOIL-N & N-UPTAKE SIMULATION; NO N-FIXATION N-FERTILIZER : 116 kg/ha IN 3 APPLICATIONS RESIDUE/MANURE : INITIAL : 1000 kg/ha ; 0 kg/ha IN 0 APPLICATIONS ENVIRONM. OPT. : DAYL= 0.00 SRAD= 0.00 TMAX= 0.00 TMIN= 0.00

RAIN= 0.00 CO2 = R330.00 DEW = 0.00 WIND= 0.00 SIMULATION OPT : WATER :Y NITROGEN:Y N-FIX:N PHOSPH :N PESTS :N

PHOTO :C ET :R INFIL:S HYDROL :R SOM :G MANAGEMENT OPT : PLANTING:R IRRIG :R FERT :R RESIDUE:N HARVEST:M WTH:M *SUMMARY OF SOIL AND GENETIC INPUT PARAMETERS

SOIL LOWER UPPER SAT EXTR INIT ROOT BULK pH NO3 NH4 ORG DEPTH LIMIT LIMIT SW SW SW DIST DENS C cm cm3/cm3 cm3/cm3 cm3/cm3 g/cm3 ugN/g ugN/g %

-------------------------------------------------------------------------------0- 5 0.026 0.096 0.230 0.070 0.086 1.00 1.30 7.00 0.10 0.50 2.00 5- 15 0.025 0.086 0.230 0.061 0.086 1.00 1.30 7.00 0.10 0.50 1.00

15- 30 0.025 0.086 0.230 0.061 0.086 0.70 1.40 7.00 0.10 0.50 1.00 30- 45 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 45- 60 0.025 0.086 0.230 0.061 0.086 0.30 1.40 7.00 0.10 0.50 0.50 60- 90 0.028 0.090 0.230 0.062 0.076 0.05 1.45 7.00 0.10 0.60 0.10 90-120 0.028 0.090 0.230 0.062 0.076 0.03 1.45 7.00 0.10 0.50 0.10 120-150 0.029 0.130 0.230 0.101 0.130 0.00 1.45 7.00 0.10 0.50 0.04 150-180 0.070 0.258 0.360 0.188 0.258 0.00 1.20 7.00 0.10 0.50 0.24

TOT-180 6.2 22.2 45.3 16.1 21.4 <--cm - kg/ha--> 2.5 12.9 87080 SOIL ALBEDO : 0.18 EVAPORATION LIMIT : 2.00 MIN. FACTOR : 1.00 RUNOFF CURVE # :60.00 DRAINAGE RATE : 0.65 FERT. FACTOR : 0.80

MAIZE CULTIVAR :IB0035-McCurdy 84aa ECOTYPE :IB0002 P1 : 265.00 P2 : 0.3000 P5 : 920.00 G2 : 990.00 G3 : 8.500 PHINT : 39.000

*SIMULATED CROP AND SOIL STATUS AT MAIN DEVELOPMENT STAGES

RUN NO. 1 RAINFED LOW NITROGEN

CROP GROWTH BIOMASS CROP N STRESS DATE AGE STAGE kg/ha LAI kg/ha % H2O N

------ --- ---------- ----- ----- --- --- ---- ----25 FEB 0 Start Sim 0 0.00 0 0.0 0.00 0.0026 FEB 0 Sowing 0 0.00 0 0.0 0.00 0.0027 FEB 1 Germinate 0 0.00 0 0.0 0.00 0.009 MAR 11 Emergence 29 0.00 1 4.4 0.00 0.00

27 MAR 29 End Juveni 251 0.43 4 1.6 0.00 0.091 APR 34 Floral Ini 304 0.44 4 1.5 0.00 0.50

OUTPUT

Phenologyflowering, grain/seed/tuber,

maturity

Yield componentgrain/seed/tuber, biomass, LAI

Growthgrain/seed/tuber, biomass, LAI

Soilnitrogen balance, water balance,

carbon balance

0

1

2

3

4

5

6

7

8

9

10

0 50 100 150 200

Yield(t/ha)

Fertilizer (kg[N]/ha)

Page 3: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Why (Ex-Ante) Model for AR?

Better understanding of the current crop production system’s sustainability

Assess the potential of sustainable intensification options and their scalability beyond the study area and baseline survey data

Page 4: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Data without models is chaos.

… but models without data is fantasy!

Source Unknown (but probably a crop modeler)

Page 5: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Hey, Jawoo!

We’ve got all these baseline survey done! What data do you need for the modeling stuff?

White et al., 2013. Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards. Computers and Electronics in Agriculture 96 (2013) 1–12

Page 6: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Come on, Jawoo!

That looks like too much overwhelming! What are the minimum data you need?

Page 7: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

What do we have for Dedza&Ntcheu?From AR Baseline Survey + Docs + WUR Survey Site information

Treatments (Innovations)

Soil properties (Dedza: Loamy, Ntcheu: Sandy)

Cropping calendar (Oct – Jan)

From HarvestChoice Soil profiles

30-year daily weather (1980-2010; 0.5-deg grid)

Page 8: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

* Simulated using 30-year historical weather data, first 3 years discarded for initialization spin-up, 13 years selected when maize was simulated

Page 9: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

* Simulated using 30-year historical weather data, first 3 years discarded for initialization spin-up, 13 years selected when maize was simulated

Page 10: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

* Simulated using 30-year historical weather data, first 3 years discarded for initialization spin-up, 13 years selected when maize was simulated

Page 11: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Seasonal Yield & Rainfall

Page 12: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Soil Carbon Sequestration

Page 13: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Soil Nitrogen Leaching

Page 14: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Concluding Remarks

This is just the beginning; many interesting ex-ante modeling opportunities/applications ahead!

Constraints analysis (What if…)

Priority setting across innovation options

Cost-benefit/gross-margin analysis

Climate-smart/proofing

Identifying spaces for scaling-up

Page 15: Ex-ante modeling analysis of maize yield responses to nutrient management options in Malawi: Action Sites – Dedza & Ntcheu

Africa Research in Sustainable Intensification for the Next Generation

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