5x yield differences in the same row
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Transcript of 5x yield differences in the same row
Variable Rate Irrigation Approach for Wine Grapes in
California
Luis SanchezCalifornia Irrigation Institute Conference
Sacramento, January 26, 2016
Variable vineyards
Plant Available Water
Colony 13 – Petite Sirah
5x yield differences in the same row
Through Precision Viticulture:• Management to optimize vineyard
performance– Responding to field variability– Maximizing grape yield and quality– Minimizing environmental footprint
How can we manage vineyard variability?
• Variable rate irrigation– Other crops:
• Sensor-driven systems in nurseries• Center pivot systems in grain crops
– Wine grapes: management zones• Australia (McClymont et al. 2012; Proffitt and Pearce 2004)
• Spain (Bellvert et al. 2012; Martínez-Casasnovas et al. 2009)
• ….and California
Precision Viticulture
Not
flexible!
Soil 1
Soil 2
Zona
l Irr
igati
on
VF PUMP
Irrigation management zone 1
Irrigation management zone 1
Zona
l Irr
igati
on
VF PUMPSoil 3
Irrigation management zone 1
Irrigation management zone 1
Zona
l Irr
igati
on
Soil 3
Soil 1
Soil 2
Mod
ular
Irrig
ation
VF PUMP
Soil 3
Soil 1
Soil 2
Mod
ular
Irrig
ation
VF PUMP
Soil 3
Soil 1
Soil 2
Mod
ular
Irrig
ation
VF PUMP
Soil 3
Soil 1
Soil 2
Mod
ular
Irrig
ation
VF PUMP
Wine Program A
Wine Program B
Mod
ular
Irrig
ation
Objective:Develop and operate a proof-of-concept VRI system prototype and validate it by:• Decreasing vineyard variability• Optimizing fruit yield and quality• Maintaining/improving water use efficiency
Variable Rate Irrigation Study
Experiment location
Colony Ranch, Wilton CA
2012 yield mapColony 2A Cabernet Sauvignon
• Wilton, California• 31.5 acres• 5 x 11 feet• 17-year old• Teleki 5C• Hand-pruned• Drip-irrigated
• San Joaquin silt loam (~ 75%)• San Joaquin-Galt complex (~ 25%)• 500 mm (20”) annual rainfall• Highly variable
2012 Yieldtons per acre
12963
Varia
ble
rate
VRI
Con
vent
iona
lC
I
Field layoutLandsat data
30 meter2012 Yieldtons per acre
12963
Block area: 31.5 acresVRI & CI: 10.0 acres
Field average: 9.17 tons/acre
140 Irrigation Zones
VRI General layout
Node-Solenoid, Check Valve, Tee
Flow meter
Flushing solenoid valve
Sub-main Valves
4 DL
4 DL
5 DL
5 DL
5 DL
4 DL
4 DL
4 DL
4 DL
5 DL
5 DL
5 DL
4 DL
5 DL
4 DL
4 DL
5 DL
5 DL
5 DL
4 DL
4 DL
4 DL
4 DL
5 DL
5 DL
5 DL
4 DL
5 DL
Variable Flow Pump
VRI System design
solenoid valvecheck valveemitters
4”
Check valve
2”2” Solenoid valve
Power locadapter
Power loctee
Tubing, 0.69”ID
emitters emitters
VRI System design
Control board480 VAC
115 VAC
Communications to South and North
12 VDC to 14 subnets
UPSbox
CellAntenna
Power distribution
boxControl
box
Lightning arrestor
• METRIC (Mapping evapotranspiration at high resolution and internalized calibration)
• ET residual of surface energy balance
Rn + LE + G + H = 0• Inputs
– Landsat (visible & infrared)– CIMIS weather data
• Outputs– ETc– Kc (f/NDVI)
• Watering of each zone: ETc * Km(ETc = ETref * Kc)
Variable rate irrigation scheduling
Rn
G
LEH
• System can be used to:1. Irrigate each zone according to vine size with-
out altering natural variability uniform Km2. Apply more water to low vigor areas in order to
increase vine size and yield and decrease vineyard variability variable Km
We want #2!But can default to #1 under severe water shortage
Variable rate irrigation scheduling
# of irrigation
zones
Irrigation management factor
May4 weeks
June4 weeks
July - Oct16 weeks
140 0.0 – 1.0 0.5 – 0.8 0.6 – 1.0
Variable rate irrigation scheduling
Adjusting Km based on vine vigor
Landsat NDVIsNDVI = Normalized Difference Vegetation Index
% maximum
5/24/15 6/25/15 7/27/15 8/25/15
Variable rate irrigation scheduling
Low High Average
2012 -- -- 1.50 1.50
2013 1.24 1.49 1.37 1.50
2014 0.99 1.72 1.36 1.23
2015 0.99 1.17 1.10 1.26
YearVRI
CI
Irrigation + rain received 3/1 thru 9/30Acre feet
Variable rate (VRI) yield - Normalized
2012 Yield: Mean = 8.9 t/a6.1 – 12.4 t/aSpread = 0.71
2013 Yield: Mean = 7.7 t/a
6.3 – 8.9 t/aSpread = 0.33
2014 Yield:Mean = 10.1 t/a
6.2 – 14.0 t/aSpread = 0.76
2015 Yield:Mean = 5.1 t/a
4.2 – 6.7 t/aSpread = 0.50
Conventional (CI) yield - Normalized
2012 Yield: Mean = 8.9 t/a6.4 – 10.9 t/aSpread = 0.50
2013 Yield: Mean = 7.4 t/a5.8 – 10.7 t/aSpread = 0.68
2014 Yield:Mean = 8.7 t/a6.1 – 14.3 t/aSpread = 0.93
2015 Yield:Mean = 4.6 t/a
3.1 – 8.8 t/aSpread = 1.27
VRI CI VRI CI
2012 8.9 8.9 0.0 5.93 5.93 0.0
2013 7.7 7.4 4.1 5.63 4.93 14.2
2014 10.1 8.7 16.1 7.43 7.08 4.9
2015 5.1 4.6 10.9 4.27 3.65 17.1
Year
Yield (tons/acre)
Gain VRI/CI
(%)
WUE (tons/acre-foot)
Gain VRI/CI
(%)
Yield and water use efficiency
Average 10% Average 12%
Vine performance data
• 5-vine plots• Yield components• Vine physiology• Fruit composition/quality • Wine composition/quality
Fruit Yield and Quality
0
2
4
6
8
10
12
2012 2013 2014 2015
Yiel
d (to
ns/a
cre)
VRI CI
a a a b ba ba
0102030405060708090
2012 2013 2014 2015
Grap
e Q
ualit
y In
dex
VRI CI
a ba a a a ba
Conclusions• Modular variable rate drip irrigation system
prototype was successfully implemented• Vineyard variability was manipulated with
precision• Yield was increased during 3 seasons by an
average of 10% with up to 17% gain in water use efficiency
• Potential decreases in quality could be offset with standard canopy manipulations
Next step: 2nd generation system
System tested in Israel on wine grapes and citrus during 2015
All valves and controls outside the vine rows!
Next step: 2nd generation systemLivingston 5-yr old Malbec
Texture Subsurface
• 96 irrigation zones• 30x30m each• 24.4 acres• Includes VR fertilization
1411
852
2015 yield tons/acre
Next step: 2nd generation system
• 20-30% cost increase over commercial standard • Multiple vineyards• Other permanent crops
Acknowledgments• E&J Gallo Winery
– Viticulture Lab: Brent Sams, Maegan Salinas, Erin Troxell, George Zhuang, Cassandra Plank, Tian Tian, Cody Lichtfield, Nona Ebisuda
– Chemistry: Hui Chong, Bruce Pan, Natalia Loscos, Bianca Wiens– Research Winery: David Santino– GVI-CV: Alan Reynolds, John Owens VII, Christopher Bach, Evan Goldman– GIS-CE: Andrew Morgan– Nick Dokoozlian
• IBM (TJ Watson Lab & Data Center Services)– TJ Watson Lab, NY: Levente Klein, Nigel Hinds, Hendrik Hamann– Data Services, CA: Alan Claassen, David Lew
• Netafim Israel: Avi Schweitzer, Itamar Nadav• James Taylor, New Castle University, UK• Ernie and Jeff Dosio, Pacific Agrilands• Scott Britten & Associates, Bennett & Bennett• Bernd Kleinlagel, ATV, Australia
Thank you!
Fruit Yield and Quality
0
10
20
30
40
50
60
70
80
90
2012 2013 2014
GQI
VRICI
a ba a a a
0
5
10
15
20
25
2012 2013 2014
Yiel
d (t
ons/
hect
are)
VRICI
a a a b ba
2014 Leafing study
LAIHV / L = High vigor, Leafing
HV / NL = High vigor, No Leafing
LV / NL = Low vigor, No Leafing
50
55
60
65
70
75
LV / NL HV / NL HV / L
GQI
Colony 2A Cabernet Sauvignon
50
55
60
65
70
75
LV / NL HV / NL HV / L
GQI
Colony 2A Cabernet Sauvignon
2015 Leafing study
LAIHV / L = High vigor, Leafing
HV / NL = High vigor, No Leafing
LV / NL = Low vigor, No Leafing
50
55
60
65
70
75
80
85
HV / L HV / NL LV / NL
Grap
e Q
ualit
y In
dex
Leafing-Vigor
• Typically between 2 to 2.5 acre-feet/season– 650,000 to 815,000 gallons per acre
• For 10 ton/acre yield:– 65,000 to 81,500 gallons/ton– WUE = 4 to 5 tons/acre-foot
Irrigation water use in CA wine grapes
2nd generation system
Controllers& valves
1
1
2 3 4
234
bundles
Sub-mains
Main water source from pump