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Soil information demand for crop simulation Introducing AquaCrop Pasquale STEDUTO Deputy Director Land & Water Division FAO, Rome Towards Global Soil Information 20-23 March, 2012 - FAO Headquarters Rome, Italy

Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

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Page 1: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Soil information demand for crop simulation Introducing AquaCrop

Pasquale STEDUTO Deputy Director

Land & Water Division FAO, Rome

Towards Global Soil Information 20-23 March, 2012 - FAO Headquarters

Rome, Italy

Page 2: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Atmosphere

Soil

Crop

AquaCrop Conceptual Framework

Man

agem

ent

Page 3: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

CLIMATE Rain

AquaCrop Conceptual Framework | Atmosphere

RS, T, RH, u

ETo T (oC) CO2

Page 4: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

T (oC) Es Ta ETo

Phenology Canopy Cover Leaf expansion gs

Senescence Biomass

WP

Yield HI

Rooting depth

AquaCrop Conceptual Framework | Crop

CO2

Page 5: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Canopy Cover (CC)

Vertical projection of canopy foliage

Shaded area over ground area

(%)

Page 6: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

CGC

CCx

start of canopy senescence

time to harvest

cano

py c

over

timetime to full canopy

CDC

CCo

• CC follows the exponential growth during the first half of the full development (Eq. 1) and an exponential decay during the second half of the full development (Eq. 2)

tCGCoeCCCC ⋅= (1) tCGC

oxx e)CCCC(CCCC ⋅−⋅−−= (2)

Page 7: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

WP Water Productivity

(g m-2 mm-1) ∑

=CT

BiomassWP(g m-2)

)2000(COO

C

*

2ETT

BiomassWP

=

Σ ETc (mm x 1000)0.0 0.3 0.6 0.9

Bio

mas

s (k

g m

-2)

0

1

2

3

SorghumSunflowerChickpeaWheat

∑ CT Σ(ETc/ETo)0 40 80 120 160

Bio

mas

s (k

g m

-2)

0

1

2

3

SorghumSunflowerChickpeaWheat

∑ )ET/T( OC

Page 8: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

multiplier x HIo (reference)

upward or downward adjustment

Harvest Index

Y = HIadj x B

adjusted for: water and/or temperature stress

Y HI (biomass) B (yield)

Yield

Page 9: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

root

ing

dept

hsowing transplanting

emergencetransplanting

timeZini

Zn

Zx

averageexpansion rate

to/2

to

tx

Page 10: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Soil water (& salt) balance Infiltration

Uptake Redistribution

Runoff

Rain

Ks

Es Ta

AquaCrop Conceptual Framework | Soil

deep percolation

capillary rise

Leaf expansion gs

Senescence

HI

Texture 1

Texture 2

Texture …

Ksat

FC

PWP

Irrig.

Runoff

Page 11: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

runoff

irrigationrainfall

capillaryrise

deeppercolation

stor

ed s

oil w

ater

(mm

)

Wr

evaporation

0.0

transpiration

Field Capacity (FC)

Permanent Wilting Point (PWP)

TAW

Total Available soil Water

soil water balance

Page 12: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Ks

(1) leaf expansion

HI (4)

(2) gs

(3) senescence

Ks for leaf expansion, maize

Ks for stomata, maize

Ks for senescence, maize

+ aeration & T stresses

Page 13: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Field Management

Water Management

• Fertility level (non-limiting; moderate; poor)

• Field-surface practices (mulching; soil bunds)

Rainfed

• User defined schedule (timing and depth)

• Model-generated schedule (fixed interval; fixed depth; % of RAW) • Irrigation method (drip; sprinkler; surface » basin; border; furrow)

Irrigation

AquaCrop Conceptual Framework | Management

Page 14: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Atmosphere

Soil

Crop

Man

agem

ent

Summing up

CLIMATE

T (oC) Es Ta

Phenology Canopy Cover Leaf expansion gs

Senescence Biomass

WP

Yield HI

CO2

Soil water (& salt) balance Infiltration

Uptake Redistribution

deep percolation

capillary rise

Rooting depth

ETo

Rain

Runoff

Page 15: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Soil information demand • Texture of different layers along the profile

• Derivation of FC, PWP & Ksat from pedo- transfer functions or measurements

• Status of soil fertility (CEC, OM, others)

• Presence of impermeable, or other constraining, layers

• Information on depth and underlying geology, for drainage and deep percolation inferences

Page 16: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

•Main scientific publications 2009

Page 17: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Crops dealt by AquaCrop

• Wheat • Maize • Rice • Sugarbeet • Soybean • Cotton • Potato • Quinoa • Sunflower • Bambara groundnut

• Sugarcane • Tomato • Teff • Barley • Sorghum

• Forage crops (Alfalfa)

• Millet • Chickpea • Cassava • Amaranths • Sweet potato

Already calibrated

For the near future

NO TREE CROPS

Page 18: Soil information demand for crop simulation, Introducing AquaCrop - Pasquale Steduto

Thank You

www.fao.org/nr/water