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The Low Down on High Yields: Challenging
Yield-Quality Standards for Oregon Pinot Noir
Dr. Patty Skinkis, Viticulture Extension Specialist &
Associate Professor, OSU
1
February 22, 2017
Oregon Wine Symposium, Portland, OR
0
0.5
1
1.5
2
2.5
3
3.5
4
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
tons/acre
Harvest Yields 1990-2015
Pinot Noir
All cultivars
26 year mean:
2.2 T/A
Highest yields on
record
USDA-NASS 1990-2012, SOURCE 2012-2016
Increasing plant density/A
Yield Management of Pinot noir
• Reasons for cluster thinning
• Hasten ripening
• Increase fruit quality
• Decrease Botrytis
• Sustain vine health/balance
• Target inventory
• Yield reduction: 25 to 50%
• Cost: $700-800/A
89% conduct cluster thinning
67% target 2 to 2.75 T/A
Uzes & Skinkis, J. of Extension 2016
73%
Statewide Crop Load Project 2012-2021
Patty Skinkis, James Osborne, Elizabeth Tomasino, Paul Schreiner, Katie McLaughlin
Objectives
1. Engage industry directly in research
2. Understand crop level, site
characteristics, and vintage variation
on vine health, fruit/wine quality
3. Define metrics for yield management
to balance quality with market price
and production economics
Can we better manage yields?
Industry Collaborators 2012-2016
Adelsheim Airlie A to ZArchery Summit
Bethel Heights Chehalem
Domaine Drouhin
Domaine Serene
Ken Wright Cellars
Lemelson
Van Duzer
Willakenzie
Winemakers Investment Properties Winters Hill
Atlas Vineyard Management
Johan Vineyards
Stoller
Dion Vineyard
Results Partners LLC
20 companies
5 AVAs
Experimental Design
Block 1
Block 2
Block 3
Buffer Row
Buffer Row
• 2 or more crop levels
• 3 replicates
• 1-3 acre blocks
• Protocols for data collection
• 10-vine sections for data collection
Clusters/
Shoot
Thinning
pattern
0.5 1-0-1-0
1 1-1-1-1
1.5 1-2-1-2
2 2-2-2-2
No thinning -
Randomized Complete Block
Design (RCBD)
Vineyard Data Collection
Fruitfulness (inflorescences/shoot)
Lag phase - cluster counts, weights
Véraison - Mineral Nutrient
Sampling (macro- and micros)
Harvest - yield, fruit composition,
wine production
Winter - Dormant pruning weights
Cluster
thinning
Air temp
GDD
Phenology Reports
Yield & Fruit Composition
Ripeness
Brix
pH
TA
Nutrients
Potassium
YAN
(ammonia,
AAA)
Color
Total
Anthocyanin
Polymeric
Anthocyanin
Phenolics/
Indicators
Catechin
Tannin
Quercetin
ANOVA 2015 VINEYARD 6810
Treatments: 1 cluster/shoot 50% of Full Crop No Thin p-value*
fruitfulness (# inflorescences/shoot) 1.3 1.3 1.3 0.9268
fruitfulness # Shoots/vine 34 34 37 0.7966
fruitfulness clusters/vine 44 43 46 0.7897
pre-thinning - # clusters/vine 58 56 58 0.5904
yield (kg/vine) 2.07 ab 1.48 b 2.92 a 0.0326
yield (kg/m) 0.57 ab 0.41 b 0.80 a -
yield (lb/ft) 0.38 ab 0.27 b 0.54 a -
harvest - # clusters/vine 29 b 25 b 43 a 0.0180
harvest - cluster wt (g) 72 59 67 0.0794, KW
dormant shoots/vine 42 41 43 0.3581
pruning weight (kg/vine) 0.78 0.78 0.75 0.1791
pruning weight (kg/m) 0.21 0.21 0.21 -
pruning weight (lb/ft) 0.14 0.14 0.14 -
cane weight (g) 21 22 19 0.2236
Ravaz (yield/pruning Wt) 2.7 1.9 4.0 0.0918
Partridge 3.4 2.0 4.9 0.0891
TSS (°Brix) 23.5 24.7 24.5 0.2288
pH 3.26 3.32 3.41 0.1209
TA (g/L) 7.2 6.8 7.2 0.2948
malate (g/L) 2.61 2.45 2.56 0.3196
tartrate (g/L) 7.2 7.0 6.6 0.6593
glucose + fructose (g/L) 251 265 264 0.2309
ammonia N (mg/L) 37 42 38 0.7955
alpha amino acid N (mg/L) 71 83 61 0.1546
YAN (mg/L) 102 118 92 0.3396
K (mg/L) 1763 1920 1993 0.0578
catechin (mg/L) 153 116 125 0.5042
quercetin glycosides (mg/L) 91 87 43 0.3527
tannin (mg/L) 653 525 541 0.1766
polymeric anthocyanins (mg/L) 10 10 10 0.1654
total anthocyanins (mg/L) 1116 a 979 b 968 b 0.0080
p-value indicates
statistical significance
or difference in means
If p<0.05, then means
are different
How do the means differ?
Means separation
procedures used…
Tukey Honestly Significant
Difference (HSD) test.
Different letters mean
that treatments are
different.
Cumulative Results:
all years
all sites
Summary statistics report – one site, one year…
Seasonal Heat Units & Phenology
0
500
1000
1500
2000
2500
3000
3/16 4/15 5/15 6/14 7/14 8/13 9/12 10/12
GDD50
Date
Cumulative GDD50 vs Phenology Date
2012
2013
2014
2015
2016
Harvest
Bloom
Lag
Véraison
Bud Break
Air temperatures from Agrimet - Aurora, OR
Heat Units & Phenology by Site 2016
0
500
1000
1500
2000
2500
3000
GDD50
Vineyard
2016 GDD50 Accumulation
Veraison - Harvest
Lag Phase - Veraison
Bloom - Lag Phase
Budbreak - Bloom
April 1 - Nov 1
Véraison to Harvest GDD & TSS
Yield Variation 2012-2016
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2012 2013 2014 2015 2016
Yield(lb/ft)
Year
0.67
0.83
0.94
1.20
0.86
1.20
Yield Variation Treatment x Year
0.00
0.50
1.00
1.50
2.00
2.50
0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning
Yield(lb/ft)
Cluster thinning treatment
2012
2013
2014
2015
2016
57% 38% 23% 12%
Yield Variation Treatment x Year
0.00
0.50
1.00
1.50
2.00
2.50
0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning
Yield(lb/ft)
Cluster thinning treatment
2012
2013
2014
2015
2016
Heavy crop years
Harvest Yields by Treatment
0.00
0.50
1.00
1.50
2.00
2.50
0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning
Yield(lb/ft)
Cluster thinning treatment
2012
2013
2014
2015
2016
lb/ft T/A
2012 0.4 1.1
2013 0.3 0.9
2014 0.5 1.6
2015 0.9 2.8
2016 0.4 1.3
Comparison of 1 cluster/shoot and No Thin
Crop Level Differences by Site – Fruit Composition
2012 2013 2014 2015 2016
TSS (Brix) 1 2 3 5 1
pH 3 0 2 1 3
TA 1 2 2 1 3
glucose + fructose 1 2 3 4 1
tartaric acid 2 1 1 2 4
malic acid 1 1 0 0 2
potassium 1 0 1 2 2
Yeast assimilable N (YAN) 1 1 1 0 0
polymeric anthocyanin 3 4 3 2 0
total anthocyanin 2 3 3 3 1
catechin 1 0 0 3 1
quercetin glycosides 2 0 2 2 0
tannin 2 2 0 0 3
catechin: tannin 1 1 0 2 0
poly anthocyanin: tannin . . 0 2 1
Total sites 10 14 13 13 11
Crop Load (Yield/PW) and Basic Ripening
BRIX
pH
TA
Crop Level Differences by Site – Fruit Composition
2012 2013 2014 2015 2016
TSS (Brix) 1 2 3 5 1
pH 3 0 2 1 3
TA 1 2 2 1 3
glucose + fructose 1 2 3 4 1
tartaric acid 2 1 1 2 4
malic acid 1 1 0 0 2
potassium 1 0 1 2 2
Yeast assimilable N (YAN) 1 1 1 0 0
polymeric anthocyanin 3 4 3 2 0
total anthocyanin 2 3 3 3 1
catechin 1 0 0 3 1
quercetin glycosides 2 0 2 2 0
tannin 2 2 0 0 3
catechin: tannin 1 1 0 2 0
poly anthocyanin: tannin . . 0 2 1
Total sites 10 14 13 13 11
↑ anthocyanin concentration with ↓ yield
• Total Anthocyanin: 10-40% of sites
• Polymeric Anthocyanin: 20-42% of sites
• Higher yielding years = greater impact
171 mg/L
2.2 mg/L
3 sites have shown consistent
effect for 3 years
Yield & Anthocyanin 2012-2016
Crop load (yield/pruning wt) effect
Total Anthocyanin by Year
Total Anthocyanin x Site
↑ Crop Load = ↑ yield relative to vine size
2012 2013 2014 2015
Crop load (yield/pruning wt) effect
Polymeric Anthocyanin by Year
↑ Crop Load = ↑ yield relative to vine size
2012 2013 2014 2015
Polymeric Anthocyanin x Site
Yield & Anthocyanin
2013
y = -238.37x + 889.68
R² = 0.3979
p=0.0279
2014
y = -181.29x + 1052.1
R² = 0.526
p=0.0076
2015
y = -396.48x + 1298.2
R² = 0.9229
p<0.0001
0
200
400
600
800
1000
1200
0.0 0.5 1.0 1.5 2.0 2.5
TotalAnthocyanin(mg/L)
Yield (lb/ft)
Vineyard 3370, 2013-2015
2013
2014
2015
1.7 3.4 5.0 7.2Tons/A
Anthocyanin – Physiology or Microclimate?
Overlapping clusters
• Full crop > thinned
• High yield years, big clusters
Cluster zone leaf removal
• Full crop – less removal with
fewer labor passes
Anthocyanin – Physiology or Microclimate?
y = 5.3877x + 298.17
R² = 0.4944
p<0.0001
0
200
400
600
800
1000
1200
50 60 70 80 90 100 110
totalAnthocyanin(mg/L)
Quercetin glycosides (mg/L)
Vineyard 3280 - 2012-2015
Quercetin increases in
Pinot noir under
sunlight exposure
Leaf
removal
effect?
Summary
• Site and year impacts “quality” > yield
• Greater yield-quality potential than
expected (full crop not best)
• Lowest yield not a guarantee for quality
• Impacts on vine size, nutrient status
may be minor or take many years
• Cluster thinning effects may not be
related to source limitations (canopy)
• Anthocyanin effect only in high yield
years suggests microclimate effect
• Further statistical analyses underway…
Continued Work…
• Vine balance effects (source-sink)
• Microclimate effects
• Whole system analysis
• Vineyard
• Winery
• Economics
• Develop dynamic metrics…
• Vine size/balance
• Nutrition
• Production goals
• Site characteristics
• Vintage variation and prediction
Decision making
Continued Work: Wine Quality Impact
• OWRI Winemaker Panel
• NEW: In-house wine evaluation
• Individual vs group
• Comparative quality rank
• Preference
• Fate of production
Wine Tasting
Cultivar Clone Rootstock AVA Planted Vines/A
Pinot noir Wadenswil 3309 C
Chehalem
Mountain
1997 1245
Cultivar Clone Rootstock AVA Planted Vines/A
Pinot noir Pommard 3309 C Ribbon Ridge 2005 2062
1. Chehalem Wines – 2014
3. Adelsheim Vineyard
Cultivar Clone Rootstock AVA Planted Vines/A
Pinot noir Pommard 3309 C Eola Amity 2001 806
2. Ken Wright Cellars – 2014
Label Company Vintage Crop Level Yield (lb/ft)
1A Chehalem 2014 3.25 T/A 0.92
1B Chehalem 2014 2.5 T/A 1.27
2A Ken Wright Cellars 2014 1 cluster/shoot 0.81
2B Ken Wright Cellars 2014 No thinning 1.51
3A Adelsheim 2015 1.5 cluster/shoot 1.99
3B Adelsheim 2015 1 cluster/shoot 1.59
3/2/2017 3:34 PM
30
Crop Levels Revealed…
Acknowledgements
Funding:
Oregon Wine Research Institute
Oregon Wine Board
Industry collaborators
3/2/2017 3:34 PM
Skinkis Lab Members (present & past)
Amelia Doyle
Michael Kennedy
Justin Litwin
Alejandra Navarrete
Alison Reeve
Miranda Ulmer
3/2/2017 3:34 PM
Patty Skinkis, Ph.D.
Department of Horticulture
Oregon Wine Research Institute
Oregon State University
Patricia.Skinkis@oregonstate.edu
http://owri.oregonstate.edu
Questions?
Grape Day, April 6, 2017
Management of Trunk Disease, Grapevine Viruses and Fungicide Resistance
For more information
and registration:
http://owri.oregonstate.edu
Management of Grapevine trunk diseases: a difficult but not impossible task- José
Ramón Úrbez-Torres, Pacific Agri-food Research Centre, British Columbia
Red Blotch in Oregon- Vaughn Walton, OSU
Grapevine Leafroll Disease Impact- Laurent Deluc, OSU
Grape Powdery Mildew Management: An Integrated Approach- Brent Warneke, OSU
Effects of Red Blotch on Wine Quality- Anita Oberholster, UC Davis
Interactive Poster Session featuring more of the latest research and information!
Oregon State University Campus, Corvallis

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2017 Oregon Wine Symposium | The Low Down on High Yields: Challenging Yield-Quality Standards for Oregon Pinot Noir

  • 1. The Low Down on High Yields: Challenging Yield-Quality Standards for Oregon Pinot Noir Dr. Patty Skinkis, Viticulture Extension Specialist & Associate Professor, OSU 1 February 22, 2017 Oregon Wine Symposium, Portland, OR
  • 2. 0 0.5 1 1.5 2 2.5 3 3.5 4 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 tons/acre Harvest Yields 1990-2015 Pinot Noir All cultivars 26 year mean: 2.2 T/A Highest yields on record USDA-NASS 1990-2012, SOURCE 2012-2016 Increasing plant density/A
  • 3. Yield Management of Pinot noir • Reasons for cluster thinning • Hasten ripening • Increase fruit quality • Decrease Botrytis • Sustain vine health/balance • Target inventory • Yield reduction: 25 to 50% • Cost: $700-800/A 89% conduct cluster thinning 67% target 2 to 2.75 T/A Uzes & Skinkis, J. of Extension 2016 73%
  • 4. Statewide Crop Load Project 2012-2021 Patty Skinkis, James Osborne, Elizabeth Tomasino, Paul Schreiner, Katie McLaughlin Objectives 1. Engage industry directly in research 2. Understand crop level, site characteristics, and vintage variation on vine health, fruit/wine quality 3. Define metrics for yield management to balance quality with market price and production economics Can we better manage yields?
  • 5. Industry Collaborators 2012-2016 Adelsheim Airlie A to ZArchery Summit Bethel Heights Chehalem Domaine Drouhin Domaine Serene Ken Wright Cellars Lemelson Van Duzer Willakenzie Winemakers Investment Properties Winters Hill Atlas Vineyard Management Johan Vineyards Stoller Dion Vineyard Results Partners LLC 20 companies 5 AVAs
  • 6. Experimental Design Block 1 Block 2 Block 3 Buffer Row Buffer Row • 2 or more crop levels • 3 replicates • 1-3 acre blocks • Protocols for data collection • 10-vine sections for data collection Clusters/ Shoot Thinning pattern 0.5 1-0-1-0 1 1-1-1-1 1.5 1-2-1-2 2 2-2-2-2 No thinning - Randomized Complete Block Design (RCBD)
  • 7. Vineyard Data Collection Fruitfulness (inflorescences/shoot) Lag phase - cluster counts, weights Véraison - Mineral Nutrient Sampling (macro- and micros) Harvest - yield, fruit composition, wine production Winter - Dormant pruning weights Cluster thinning Air temp GDD Phenology Reports
  • 8. Yield & Fruit Composition Ripeness Brix pH TA Nutrients Potassium YAN (ammonia, AAA) Color Total Anthocyanin Polymeric Anthocyanin Phenolics/ Indicators Catechin Tannin Quercetin
  • 9. ANOVA 2015 VINEYARD 6810 Treatments: 1 cluster/shoot 50% of Full Crop No Thin p-value* fruitfulness (# inflorescences/shoot) 1.3 1.3 1.3 0.9268 fruitfulness # Shoots/vine 34 34 37 0.7966 fruitfulness clusters/vine 44 43 46 0.7897 pre-thinning - # clusters/vine 58 56 58 0.5904 yield (kg/vine) 2.07 ab 1.48 b 2.92 a 0.0326 yield (kg/m) 0.57 ab 0.41 b 0.80 a - yield (lb/ft) 0.38 ab 0.27 b 0.54 a - harvest - # clusters/vine 29 b 25 b 43 a 0.0180 harvest - cluster wt (g) 72 59 67 0.0794, KW dormant shoots/vine 42 41 43 0.3581 pruning weight (kg/vine) 0.78 0.78 0.75 0.1791 pruning weight (kg/m) 0.21 0.21 0.21 - pruning weight (lb/ft) 0.14 0.14 0.14 - cane weight (g) 21 22 19 0.2236 Ravaz (yield/pruning Wt) 2.7 1.9 4.0 0.0918 Partridge 3.4 2.0 4.9 0.0891 TSS (°Brix) 23.5 24.7 24.5 0.2288 pH 3.26 3.32 3.41 0.1209 TA (g/L) 7.2 6.8 7.2 0.2948 malate (g/L) 2.61 2.45 2.56 0.3196 tartrate (g/L) 7.2 7.0 6.6 0.6593 glucose + fructose (g/L) 251 265 264 0.2309 ammonia N (mg/L) 37 42 38 0.7955 alpha amino acid N (mg/L) 71 83 61 0.1546 YAN (mg/L) 102 118 92 0.3396 K (mg/L) 1763 1920 1993 0.0578 catechin (mg/L) 153 116 125 0.5042 quercetin glycosides (mg/L) 91 87 43 0.3527 tannin (mg/L) 653 525 541 0.1766 polymeric anthocyanins (mg/L) 10 10 10 0.1654 total anthocyanins (mg/L) 1116 a 979 b 968 b 0.0080 p-value indicates statistical significance or difference in means If p<0.05, then means are different How do the means differ? Means separation procedures used… Tukey Honestly Significant Difference (HSD) test. Different letters mean that treatments are different. Cumulative Results: all years all sites Summary statistics report – one site, one year…
  • 10. Seasonal Heat Units & Phenology 0 500 1000 1500 2000 2500 3000 3/16 4/15 5/15 6/14 7/14 8/13 9/12 10/12 GDD50 Date Cumulative GDD50 vs Phenology Date 2012 2013 2014 2015 2016 Harvest Bloom Lag Véraison Bud Break Air temperatures from Agrimet - Aurora, OR
  • 11. Heat Units & Phenology by Site 2016 0 500 1000 1500 2000 2500 3000 GDD50 Vineyard 2016 GDD50 Accumulation Veraison - Harvest Lag Phase - Veraison Bloom - Lag Phase Budbreak - Bloom April 1 - Nov 1
  • 12. Véraison to Harvest GDD & TSS
  • 13. Yield Variation 2012-2016 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2012 2013 2014 2015 2016 Yield(lb/ft) Year 0.67 0.83 0.94 1.20 0.86 1.20
  • 14. Yield Variation Treatment x Year 0.00 0.50 1.00 1.50 2.00 2.50 0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning Yield(lb/ft) Cluster thinning treatment 2012 2013 2014 2015 2016 57% 38% 23% 12%
  • 15. Yield Variation Treatment x Year 0.00 0.50 1.00 1.50 2.00 2.50 0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning Yield(lb/ft) Cluster thinning treatment 2012 2013 2014 2015 2016 Heavy crop years
  • 16. Harvest Yields by Treatment 0.00 0.50 1.00 1.50 2.00 2.50 0.5 cl/sht 1 cl/sht 1.5 cl/sht 2 cl/sht no thinning Yield(lb/ft) Cluster thinning treatment 2012 2013 2014 2015 2016 lb/ft T/A 2012 0.4 1.1 2013 0.3 0.9 2014 0.5 1.6 2015 0.9 2.8 2016 0.4 1.3 Comparison of 1 cluster/shoot and No Thin
  • 17. Crop Level Differences by Site – Fruit Composition 2012 2013 2014 2015 2016 TSS (Brix) 1 2 3 5 1 pH 3 0 2 1 3 TA 1 2 2 1 3 glucose + fructose 1 2 3 4 1 tartaric acid 2 1 1 2 4 malic acid 1 1 0 0 2 potassium 1 0 1 2 2 Yeast assimilable N (YAN) 1 1 1 0 0 polymeric anthocyanin 3 4 3 2 0 total anthocyanin 2 3 3 3 1 catechin 1 0 0 3 1 quercetin glycosides 2 0 2 2 0 tannin 2 2 0 0 3 catechin: tannin 1 1 0 2 0 poly anthocyanin: tannin . . 0 2 1 Total sites 10 14 13 13 11
  • 18. Crop Load (Yield/PW) and Basic Ripening BRIX pH TA
  • 19. Crop Level Differences by Site – Fruit Composition 2012 2013 2014 2015 2016 TSS (Brix) 1 2 3 5 1 pH 3 0 2 1 3 TA 1 2 2 1 3 glucose + fructose 1 2 3 4 1 tartaric acid 2 1 1 2 4 malic acid 1 1 0 0 2 potassium 1 0 1 2 2 Yeast assimilable N (YAN) 1 1 1 0 0 polymeric anthocyanin 3 4 3 2 0 total anthocyanin 2 3 3 3 1 catechin 1 0 0 3 1 quercetin glycosides 2 0 2 2 0 tannin 2 2 0 0 3 catechin: tannin 1 1 0 2 0 poly anthocyanin: tannin . . 0 2 1 Total sites 10 14 13 13 11
  • 20. ↑ anthocyanin concentration with ↓ yield • Total Anthocyanin: 10-40% of sites • Polymeric Anthocyanin: 20-42% of sites • Higher yielding years = greater impact 171 mg/L 2.2 mg/L 3 sites have shown consistent effect for 3 years Yield & Anthocyanin 2012-2016
  • 21. Crop load (yield/pruning wt) effect Total Anthocyanin by Year Total Anthocyanin x Site ↑ Crop Load = ↑ yield relative to vine size 2012 2013 2014 2015
  • 22. Crop load (yield/pruning wt) effect Polymeric Anthocyanin by Year ↑ Crop Load = ↑ yield relative to vine size 2012 2013 2014 2015 Polymeric Anthocyanin x Site
  • 23. Yield & Anthocyanin 2013 y = -238.37x + 889.68 R² = 0.3979 p=0.0279 2014 y = -181.29x + 1052.1 R² = 0.526 p=0.0076 2015 y = -396.48x + 1298.2 R² = 0.9229 p<0.0001 0 200 400 600 800 1000 1200 0.0 0.5 1.0 1.5 2.0 2.5 TotalAnthocyanin(mg/L) Yield (lb/ft) Vineyard 3370, 2013-2015 2013 2014 2015 1.7 3.4 5.0 7.2Tons/A
  • 24. Anthocyanin – Physiology or Microclimate? Overlapping clusters • Full crop > thinned • High yield years, big clusters Cluster zone leaf removal • Full crop – less removal with fewer labor passes
  • 25. Anthocyanin – Physiology or Microclimate? y = 5.3877x + 298.17 R² = 0.4944 p<0.0001 0 200 400 600 800 1000 1200 50 60 70 80 90 100 110 totalAnthocyanin(mg/L) Quercetin glycosides (mg/L) Vineyard 3280 - 2012-2015 Quercetin increases in Pinot noir under sunlight exposure Leaf removal effect?
  • 26. Summary • Site and year impacts “quality” > yield • Greater yield-quality potential than expected (full crop not best) • Lowest yield not a guarantee for quality • Impacts on vine size, nutrient status may be minor or take many years • Cluster thinning effects may not be related to source limitations (canopy) • Anthocyanin effect only in high yield years suggests microclimate effect • Further statistical analyses underway…
  • 27. Continued Work… • Vine balance effects (source-sink) • Microclimate effects • Whole system analysis • Vineyard • Winery • Economics • Develop dynamic metrics… • Vine size/balance • Nutrition • Production goals • Site characteristics • Vintage variation and prediction Decision making
  • 28. Continued Work: Wine Quality Impact • OWRI Winemaker Panel • NEW: In-house wine evaluation • Individual vs group • Comparative quality rank • Preference • Fate of production
  • 29. Wine Tasting Cultivar Clone Rootstock AVA Planted Vines/A Pinot noir Wadenswil 3309 C Chehalem Mountain 1997 1245 Cultivar Clone Rootstock AVA Planted Vines/A Pinot noir Pommard 3309 C Ribbon Ridge 2005 2062 1. Chehalem Wines – 2014 3. Adelsheim Vineyard Cultivar Clone Rootstock AVA Planted Vines/A Pinot noir Pommard 3309 C Eola Amity 2001 806 2. Ken Wright Cellars – 2014
  • 30. Label Company Vintage Crop Level Yield (lb/ft) 1A Chehalem 2014 3.25 T/A 0.92 1B Chehalem 2014 2.5 T/A 1.27 2A Ken Wright Cellars 2014 1 cluster/shoot 0.81 2B Ken Wright Cellars 2014 No thinning 1.51 3A Adelsheim 2015 1.5 cluster/shoot 1.99 3B Adelsheim 2015 1 cluster/shoot 1.59 3/2/2017 3:34 PM 30 Crop Levels Revealed…
  • 31. Acknowledgements Funding: Oregon Wine Research Institute Oregon Wine Board Industry collaborators 3/2/2017 3:34 PM Skinkis Lab Members (present & past) Amelia Doyle Michael Kennedy Justin Litwin Alejandra Navarrete Alison Reeve Miranda Ulmer
  • 32. 3/2/2017 3:34 PM Patty Skinkis, Ph.D. Department of Horticulture Oregon Wine Research Institute Oregon State University Patricia.Skinkis@oregonstate.edu http://owri.oregonstate.edu Questions?
  • 33. Grape Day, April 6, 2017 Management of Trunk Disease, Grapevine Viruses and Fungicide Resistance For more information and registration: http://owri.oregonstate.edu Management of Grapevine trunk diseases: a difficult but not impossible task- José Ramón Úrbez-Torres, Pacific Agri-food Research Centre, British Columbia Red Blotch in Oregon- Vaughn Walton, OSU Grapevine Leafroll Disease Impact- Laurent Deluc, OSU Grape Powdery Mildew Management: An Integrated Approach- Brent Warneke, OSU Effects of Red Blotch on Wine Quality- Anita Oberholster, UC Davis Interactive Poster Session featuring more of the latest research and information! Oregon State University Campus, Corvallis