HANDOUT-Matt Whiting-Opportunities to improve sweet...
Transcript of HANDOUT-Matt Whiting-Opportunities to improve sweet...
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Matthew Whiting
Opportunities to improve sweet
cherry production efficiency
What we have……• Aged genetics• Lengthy production cycles • Inefficient/static production
systems• Compartmentalized system
for production, processing, marketing
• Increasing competition• Increasing cost &
decreasing supply of labor• Inadequate education and
outreach
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Output vs. Input:
OUTPUT
INPUT
LO/LO
HI/LO HI/HI
LO/HI
Production systems
Innovations in cherry production
• Genetic• Orchard systems• Automation/mechanization
– Mechanical pruning– Mechanical harvest
• Precision management• Plant growth regulators
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Current orchard systemsFuture orchard systems
Pruning rules:
1.Remove all lateral wood (leave short stubs)2.Renew vigorous uprights (leave renewal sites)
Simplified Pruning of the UFO System:
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PAR interception of vertical and angled fruiting walls
Vertical UFO Y-trellised UFO
Mobile measurement system1 – AccuPAR LP-802 – LI-COR quantum sensor3 – I-O interface control box4 – Deere E-Gator5 – TRD-S encoder
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Diurnal trends of PAR interception of UFO and Y-trellis architecture. July 5th, 2011.
• Diurnal trend was nearly symmetric around solar noon
• Yield potential on angled canopies is greater than planar canopies
PAR interception of vertical and angled fruiting walls
Mechanical pruning
• Simplified planar systems – simplify pruning
• Investigated potential for mechanical pruning in UFO since 2010
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• Collard system • 7 (vertical) or 4 (horizontal) circular saw blades• 6-th leaf UFO • Hand vs. Mech. Vs. Mech + hand
Mechanical pruning
CONCLUSIONS
Hand pruning2 min 40 s per tree (1800 trees/ha = 80 hr/ha)
Full mechanical pruning:� 12.5-times faster (6.5 hr/ha)� Removed ca. 60% less wood than hand pruning
Mechanical + hand pruning: � 25% faster than hand pruning� Same amount of wood removed as hand pruning
Good potential to reduce pruning time/costs using mechanical systems.
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Objective
Determine best management practices
for pruning sweet cherry and apple mechanically,
by understanding equipment and orchard
requirements.
Mechanical pruning
• Gillison’s GVF Center Mount
Topper and Hedger
• Side shift ca. 1 .2 m on
either side of the tractor
• Height adjustment of 1 m to
6.5 m
• 360° rotation of cutting head
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Experiment outlineApple
Mechanical pruning vs. hand pruning
Apple
Mechanical pruning vs. hand pruning
Sweet cherry
Mechanical hedging and topping vs/+ hand pruning
Pre/postharvest topping
Sweet cherry
Mechanical hedging and topping vs/+ hand pruning
Pre/postharvest topping
Sweet cherry trials:
Trial block details
Variety Tieton
Rootstock ‘Gisela ®5’
Training system UFO
Tree age 8th leaf
Tree spacing 2.5 x 3.1 m
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Trial design:
3 treatments x 5 reps • 20 trees/rep• Completely randomized design• Post-harvest hedging and topping
Mechanical pruning vs. Hand pruning
YEAR 11. Hand pruning
2. Mechanical pruning (1)
3. Mechanical pruning (2)
YEAR 21. Hand pruning
2. Mechanical pruning
3. Mechanical pruning + Hand pruning
Data collection
• Time to prune
• Performance of the
machine
• Weight wood pruned
• Wood damage
• Economic evaluation
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Preliminary results (2014)
• Hand pruning removed 2 x wood removed than mechanical pruning• Hand pruning 10 kg/tree• Mechanical pruning 5 kg/tree• “Dirty cuts”
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
Hand pruning Mechanical pruning
Kg
/cm
2Wood pruned
Results - Time
• Mechanical pruning 23 x faster than hand pruning (hedging and topping)• Hand pruning 374 sec/tree 6 min/tree• Mechanical pruning 16 sec/tree 0.3 min/tree• Tractor speed: 1.9 km/h
0
20
40
60
80
100
120
140
Mechanical pruning Hand pruning
Tim
e/re
p (
min
)
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Topping
Hedging
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Example
• Sweet cherry orchard trained toUFO training system
• Spacing: 2 m x 3.1 m• 8 h work/day• Mechanical pruning:
• 6 h/ha
• 1.3 ha/day• Hand pruning:
• 135 h/ha• 0.06 ha/day
Mechanical pollination
• Colony collapse disorder, variable environmental conditions, poor bloom overlap, insufficient pollenizers/pollinators all threaten ability to set a crop
For yield security and resilience to:
8.2 t/ha
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Proposed solution:
• Collect pollen• Suspend pollen• Apply pollen via sprayer
• Challenges:– Stigma is a small target!
– Pollen loses viability in liquid
Electrostatic sprayer
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Mechanical pollination
‘Tieton’/ ‘Gisela 5’: 8 years old trained to UFO
Mechanical pollination
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Mechanical pollination
a
b
• Proof of concept study• Supplemental pollination• Sprayed pollen once at 50% bloom
• Fruit set improved 15%• Increased pollen deposition
Mechanical pollination
• Proof of concept study• Replacement pollination• Sprayed pollen through bee
exclusion netting• Two applications (50% and 90%
)
• Yield similar to open-pollinated trees
a
b
01234567
Control TreatedFru
it y
ield
(kg
/tre
e)
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Mechanical pollination
0%10%20%30%40%50%60%70%80%90%
Treated ControlF
ruit
set
(%
)
a
b
Mechanical shaking to transfer pollenSelf-fertile cultivars
Mechanical harvest
• Harvest costs are >50% of all• Labor cost increasing• Labor availability decreasing
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Mechanical harvest
• Taking short- and long-term approach using total systems approach– Mechanical assist (shake-and-catch)– Fully mechanical harvest
In domestic and export markets, stem-free cherries are accepted/preferred
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New packaging + marketing by Chelan Fresh
Plant growth regulators
• Post-bloom thinning• AVG for improving fruit set
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15 May
73 DBH
9.7 mm
22 May
66 DBH
13.4 mm
29 May
59 DBH
14.0 mm
8 June
49 DBH
14.5 mm
Post-bloom thinning response:
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Summary of 2012 trials• Ethephon is an effective post-bloom thinner• Efficacy is rate dependent• Early applications more effective• Quality improvements not assoc. with thinning
0
2
4
6
8
10
12
14
16
0 20 40 60 80 100 120
‘Lapins’
0
2
4
6
8
10
12
14
16
0 20 40 60 80 100 120
0
2
4
6
8
10
12
14
16
0 20 40 60 80 100 120
Fruit quality – weight (g) vs. fruit per foot
Fruit per foot
Fru
it w
eigh
t (g)
0
2
4
6
8
10
12
14
16
0 20 40 60 80 100 120
All treatmentsControl100 ppm Ethephon200 ppm Ethephon
• Continuing research on moderate Ethephon rates on quality
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‘Kordia’ in Tasmania
Treatment Fruit set (%) Fruit wt (g) Cracked fruit
(%)
Control 9.7 a 14.5 b 25.1 b
AVG 500 g/ha 15.3 b 12.9 a 14.0 a
(ca. ¾ pouch/ac)
Rate of AVG ns ns ns
Time of
application
ns ns ns
Collaboration with Dugald Close, Sally Bound; UTas
Increasing fruit set
Rate and timing studies
• Rates:– 0, 0.5, 1.0, 1.5 pouches/acre– 0, 166, 333, 500 g/ac
• Timings:– Popcorn, 10% FB, 50% FB, ca. FB
Pacific Northwest, 2013
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‘Regina’ in Zillah
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Control 0.5 AVG 1.0 AVG 1.5 AVG
10
% f
ull
blo
om
10
% f
ull
blo
om
10
% f
ull
blo
om
po
pco
rn
50
% f
ull
blo
om
full
blo
om
Fruit set - % available flowers
1.0 AVG
0
5
10
15
20
25
30
35
Control Retain: 30 %FB
Retain: 65 %FB
Retain: 30 &65 % FB
Fru
it S
et (%
)
AVG Improves ‘Regina’ Fruit Set
• Surfactant� 0.1% v:v• Rate� 1 pouch per ac• Timing between 10 to 80% of full bloom
Data from Todd Einhorn, OSU
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• Product cost ~ $300/ac
Treatments Yield per limb Fruit per limb Avg. fruit weight
(lbs) (no.) (g)
Control 1.6 b 48 b 11.8
Retain @ 30 % FB 3.1 a 81 a 12.0
Retain @ 65 % FB 3.0 a 85 a 11.3
Retain @ 30 & 65 % FB 3.0 a 92 a 12.0
2011 Limb Trials
Treatment Yield Projected based on actual tree density
(lbs/tree) (tons/a)
Control 51.9 b 6.3
ReTain (1 pouch/a) 69.2 a 8.4
P>F 0.022
4 reps (RCBD), n=19
2013 Orchard Trials
Data from Todd Einhorn, OSU
AVG Improves ‘Regina’ Fruit Set
Recommendations:
• ReTain® applied at 10% to full bloom
• 333 g per acre
• Single application
• Particularly during warm weather
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Pruning severity
Light HeavyMediumPruning severity levels:• Light pruning: thinning cuts
and few heading cuts.• Medium pruning: balanced
thinning cuts and few heading cuts.
• Heavy pruning: many thinning cuts and heading cuts.
Pre-pruning
Post-pruning
Samples: 45 trees, 15 blocks with 5 trees of each, 3 blocks for each pruning level.
Data collection:• PAR interception of pre-
and post-pruning.• Length and diameters of
both ends of all branches in each tree pre-pruning.
• Length and diameters of both ends of all pruningsfrom each tree.
• Total weight of all pruningsfrom each tree.
Experiment
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12.3
20.2
27.2
0
5
10
15
20
25
30
light medium high
rela
tiv
e r
ed
uct
ion
of
lig
ht
inte
rce
pti
on
/tre
e (
%)
pruning level
b
cRelative reduction of light interception =
(light interception (pre-pruning) – light
interception (post-pruning))/light
interception (pre-pruning) * 100%
Relative reduction of VCA = (VCA
(pre-pruning) – VCA (post-
pruning))/VCA (pre-pruning) * 100%
y = 1.0692x
R² = 0.4547
0
5
10
15
20
25
30
35
40
45
50
0 10 20 30 40
rela
tiv
e r
ed
uct
ion
of
VC
A/t
ree
(%
)
relative reduction of light interception/tree (%)
y = 1.1032x
R² = 0.8393
0
5
10
15
20
25
30
35
40
0 10 20 30 40
rela
tiv
e r
ed
uct
ion
of
VC
A/b
lock
(%
)
relative reduction of light interception/block (%)
a
Significantly different
(P<0.05)
Light interception vs. wood pruned
Conclusion
• Adoption of innovation has been slow in cherry industry
• Market pressures will continue to force innovation
• Research at WSU at leading edge
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Questions? FB: WSUStoneFruitPhysiology