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Irrigation Technologies and the Limits of Water Productivity
Elias Fereres
Selected Paper prepared for presentation at the International Agricultural Trade Research
Consortium’s (IATRC’s) 2013 Symposium: Productivity and Its Impacts on Global Trade, June 2-4,
2013, Seville, Spain
Copyright 2013 by [authors]. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.
Irrigation Technologies
and the Limits of Water
Productivity
Elias Fereres Institute for Sustainable Agriculture, IAS-CSIC
and Univ. of Cordoba, Spain
Cereals 75%
Other crops
25%
Crops distribution (area)
Other crops
60%
Cereals
40%
Relative Water Productivity ($/m3)
FAOSTAT , 2009
150
170
190
210
230
250
270
290
310
330
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015
Irri
gate
d a
rea
(Mh
a)
year
THE RECENT EXPANSION OF WORLD IRRIGATED AREA
(Stanhill, 1986)
500
600
700
800
900
1000
1100
1200
1975 1980 1985 1990 1995 2000 2005 2010 2015
Irri
gate
d A
rea
(10
3 h
a)
Year
Actual Predicted
Evolution of irrrigated area in Andalusia, Spain
Irrigated area almost doubled over the last 20 years
WITH THE SAME
AMOUNT OF
WATER!
YEAR
IRRIGATED
AREA
(1000 ha)
Fereres et al., 2011, J. Ex. Bot. 62,
FLOOD IRRIGATION
HAS BEEN PRACTICED
FOR THOUSANDS OF
YEARS
IN FLOOD IRRIGATION: THE SOIL CONTROLS THE INFILTRATION OF WATER
SOILS ARE INHERENTLY VARIABLE
OLS THE
PRESSURIZED SYSTEMS: THE SYSTEM CONTROLS THE INFILTRATION
t1
t2
t3
t1
t1 t2
t2
IN DRIP IRRIGATION, CONTROL OF TIME AND SPACE
47,8%
22,5%
29,7%
GOTEO
ASPERSIÓN
SUPERFICIE
SURFACE IRRIGATION WENT FROM 90% TO 30% IN THIRTY YEARS
IRRIGATION METHODS IN SPAIN (2011)
IN ANDALUSIA, DRIP IRRIGATION IS NEAR 70 %
WHAT ABOUT ENERGY?
DRIP
Photo Courtesy Dr. D. Goldhamer,
Control, high uniformity, and ease of
water application have been
the key factors until now
Irrigation faces
three challenges:
• Engineering
• Management
• Biological
Farm yields of processing tomatoes in California
Burt & O’Neill, (2007)
THE YIELD GAP and HOW TO BRIDGE IT
Yield MT/ha
Water supply, mm
La Mancha, Spain, Montoro et al., (2011) Maize, Nebraska, USA, Grassini et al.,(2011)
Focus on measuring the magnitude and
causes of yield gaps
SIMULATION
MODELS
AquaCrop:
FAO simulation model
of water-limited crop production
REMOTE SENSING
(Lobell, 2012)
FAO NEW PUBLICATION (2012)
Optimizing water use
at the farm level
Develop a pre-season
economic optimization
model designed to
optimize irrigation water
management and
cropping patterns
at farm level
TARGET
Gen
il-C
ab
ra irr
iga
tio
n s
ch
em
e
Sunflower Potato Maize Cotton
Water
allocation
(Garcia-Vila & Fereres, 2012)
1.Simulation of crop-water
production functions
2.Economic optimization
model
3.Scenario analyses
UPSCALING MODELS TO IRRIGATION DISTRICTS AND REGIONS
DEVELOPMENT OF A REMOTE SENSING PLATFORM FOR IRRIGATION
SCHEDULING
IMPROVING MANAGEMENT: POINT & AREA SENSORS
Reduce risks by monitoring stress accurately and using precision irrigation where it is economically viable
WHAT ABOUT THE BIOLOGICAL CHALLENGE (THE GENETIC OPTION) ?
CO2
H2O
THE FUNDAMENTAL CONNECTION BETWEEN H2O LOSS AND CO2 ASSIMILATION
WP= CO2 / H2O
H2O T
A CO2
WHY CROPS CONSUME SO MUCH WATER?
CONSUMPTIVE USE
YIELD
100 90 80 70 60
100
90
80
70
60
ETc (%)
(%)
1:1
FAO I&D 33
1979 Payero et al.,
2009
MAIZE WATER PRODUCTION FUNCTION
Monsanto to Introduce Genuity Droughtgard Hybrids in the Western Great Plains In 2013 (one year too late)
up to 6 bushel advantage over competitor hybrids
(or 360 kg/ha)
Yiel
d (
%)
100
Evapotranspiration, ETc (%)
100 0 50
THE BASIC RELATION BETWEEN YIELD AND CONSUMPTIVE USE, ETc, IS LINEAR FOR THE MAJOR CEREALS; i.e., WP IS CONSTANT
ASSESSMENT OF WATER PRODUCTIVITY IMPROVEMENTS
Yie
ld (
%)
100
Water input (%)
100 200 120 0 50 150 W
ater
Pro
du
ctiv
ity
(kg/
m3)
0
1
2
3
4
1,2
2,1
2,5
2,9
3,4
EVOLUTION OF WATER PRODUCTIVITY IMPROVEMENTS
The genetic option
From 70 to 90 % uniformity
Optimizing the use of a limited water supply
BECAUSE OF NECESSITY
Yie
ld (
%)
100
Water input (%)
100 200 120 0 50 150
2,9
3,4
Wat
er P
rod
uct
ivit
y (k
g/m
3)
0
1
2
3
4
STRESS MANAGEMENT VIA DEFICIT IRRIGATION CROP DEPENDENT
In conclusion,
•Engineering advances were largely responsible for past increases in WP •WP limits have largely been reached, but big gaps remain in most farming systems.. Focus on measuring WP gaps and determining their causes •Water supply limitations will force adoption of deficit irrigation. Opportunities for the optimization of limited supplies at scales from field to regions