The Basics of Canopy Measurement WAWGG – February 4, 2009 James M. Meyers & Justine E. Vanden...

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The Basics of Canopy Measurement WAWGG – February 4, 2009 James M. Meyers & Justine E. Vanden Heuvel, Cornell University

Transcript of The Basics of Canopy Measurement WAWGG – February 4, 2009 James M. Meyers & Justine E. Vanden...

The Basics of Canopy Measurement

WAWGG – February 4, 2009

James M. Meyers & Justine E. Vanden Heuvel, Cornell University

Agenda Canopy Architecture and Sunlight

Measuring Canopy Architecture Point Quadrat Analysis (PQA) Enhanced Point Quadrat Analysis (EPQA)

Measuring Sunlight Distribution Cluster Exposure Mapping Leaf Exposure Mapping

Why We Measure Canopies

Canopy measurements provide insight into vine performance and fruit quality.

Energy Production (photosynthesis) Exposed Leaf Area

Fruit Quality Cluster Exposure Functional Crop Load (yield vs.

exposed leaf area)

Agenda Canopy Architecture and Sunlight

Measuring Canopy Architecture Point Quadrat Analysis (PQA) Enhanced Point Quadrat Analysis (EPQA)

Measuring Sunlight Distribution Cluster Exposure Mapping Leaf Exposure Mapping

Point Quadrat Analysis (PQA)

What is PQA? PQA is a simple field method for measuring

key parameters of canopy architecture Why perform PQA?

PQA metrics quantify canopy differences PQA metrics provide insight into vine

performance

Measurements are taken at consistent height (usually middle of the fruiting zone), but can be somewhat dynamic due to variations in vineyard floor and trellising.

Point Quadrat Measurement Zone

(Photo J. Meyers)

Canopy is sampled, at the designated height, at consistent intervals along the row.

Sampling Frequency

(Photo J. Meyers)

At each sampling location, data is collected from one outer edge of the other outer edge.

Sampling Vector

(Photo J. Meyers)

A tape measure or meter stick is used to ensure consistently spaced measurements.

Point Quadrat Data Collection

(Photo from Sunlight into Wine, credited to B.W.)

A rod is passed through the canopy. As the rod contacts biomass, the contacts are identified and recorded.

Point Quadrat Data Collection

(Photo from Sunlight into Wine, credited to B.W.)

In this example, ignoring shoots, the first insertion produces the following dataset: “L L C”.

Sample Dataset

(Photo from Sunlight into Wine, credited to R.S.)

Vigor Light Environment

Metric% Gaps

(PG)Leaf Layer Num (LLN)

% Interior Leaves (PIL)

% Interior Clusters (PIC)

Formula

Result 33.33 3 55.55 100

PQA: Standard Analysis Metrics

20 cm 40 cm 60 cm

L L C L L GL L L L C

L

Sample Dataset

PQA: Standard Analysis Metrics

Vigor Light Environment

Metric% Gaps

(PG)Leaf Layer Num (LLN)

% Interior Leaves (PIL)

% Interior Clusters (PIC)

Formula

Result 33.33 3 55.55 100

20 cm 40 cm 60 cm

L L C L L GL L L L C

L

Sample Dataset

PIC: Simplified Analysis Results

Control Treatment

Panel 1 94.1 80

Panel 2 77.8 66.7

Average 85.9 73.3

% Difference 14.8

PIC is often used to establish treatment efficacy.

Enhanced Point Quadrat Analysis (EPQA) What is EPQA?

Data collection method is the same as standard PQA EPQA uses computer software to calculate canopy

parameters with more precision than standard PQA metrics

Why perform EPQA? EPQA is more descriptive than standard PQA EPQA adds metrics for canopy symmetry and trellising

consistency EPQA provides the foundation for canopy exposure

mapping

Agenda Canopy Architecture and Sunlight

Measuring Canopy Architecture Point Quadrat Analysis (PQA) Enhanced Point Quadrat Analysis (EPQA)

Measuring Sunlight Distribution Cluster Exposure Mapping Leaf Exposure Mapping

Calibrated Exposure Mapping

(Photo from Sunlight into Wine, credited to B.W.)

(Photo from Decagon website)

Calibrating a Canopy Sunlight calibration curve

is unique to each canopy Curve can be fitted with

only two known %PPF points 100% PPF always at layer 0 Measure %PPF at a second

known canopy layer (OLN/2)

Fit curve to the two points Sample the fitted curve at

layer 1 to determine calibration value (Ep1)

0 1 2 3 4 5 6

100908070605040302010

Canopy Layer

(x=1, y=Ep1)

Cluster Exposure Map

The precise exposure of each cluster in the PQA dataset is calculated.

Leaf Exposure Map

The precise exposure of each leaf in the PQA dataset is calculated.

Treatment Effect: Cluster Exposure Map

Umbrella trained hybrid canopy in Finger Lakes subjected to:

Shoot Thinning (ST)

Hedging (H)

Combination (ST-H)

Treatment Effect: Leaf Pulling

Cluster exposure map comparing control and leaf-pulled VSP canopies on Long Island.

(Data from J. Scheiner)

Natural Variability in Cluster Exposure

EPQA and CEM data 18 panels within a block of Scott-Henry trained Finger Lakes Riesling.

Substantial natural variation was observed.

% Ambient PPF

Map Your Own Canopies

An Excel spreadsheet is available for growers and researchers who wish to map exposure in their own canopies.

Contact:

Jim Meyers

[email protected]

The Basics of Canopy Measurement

WAWGG – February 4, 2009

James M. Meyers & Justine E. Vanden Heuvel, Cornell University