Multiplex Mapping : How to Use Your Two Color Map?

Multiplex Map Study

Why Use the Two Color Map?

Multiplex two color mapping is useful to support the following question around picking decision timing: Can I source enough fruit from a uniformly colored area to fill one tank size at harvest?

The multiplex two color mapping helps highlight areas with different color concentrations within your vineyard. The speed of color accumulation is linked to wine color density. It is also a proxy for ripening trajectories involving other compounds such as other polyphenols and aromas.

For this reason, it is extremely useful to define which part of your vineyard has experienced similar ripening profiles through the analysis of differences in total anthocyanin accumulation.


How to Apply in Practice

Step 1: Identify Uniform Vineyard Areas for Selective Picking

In our example, the winemaker has identified a subsection of his vineyard where a different wine potential is suspected. Around harvest time, the winemaker wonders if he can make a wine lot with fruit from the East subsection of his vineyard only?

Figure 1 shows the winemaker’s two color map from a vineyard he soon wants to pick. The fruit from the East side “tastes” ready for picking and is different from the West side. The winemaker wants to know if it is possible to keep the two different fruit composition separated during fermentation in the cellar.

Multiplex 2 color map

Figure 1: A vineyard block showing a majority of green classified fruit (representing lower total anthocyanins content) on the West side; a majority of red classified fruit (representing higher total anthocyanins content) on the east side.

Having the ability to identify which areas are showing on average high vs. low fruit total anthocyanin levels provides key information regarding which blocks to allocate to the same tanks during the fermentation process.

Step 2: Can I Fill One Tank Size with the Selected Area?

Multiplex 2 color map

Figure 2: Fruition Analytics computes surface area for selective picking.

Using Fruition Analytics, the area identified for selective picking is immediately calculated. From there you can estimate the amount of fruit, by calculating either the number of vine per area times the estimated vine yield, or by calculating the selected acreage times the historical yield per acre.

Application

The estimated amount of fruit from the selected area in Figure 2 helps winemakers select the tank size he or she will need.  Winemakers can “compose” a specific wine lot made with fruit from a vineyard area showing similar ripening conditions ahead of time. For the example above, based on selected acreage yield estimates we can calculate (5000 vines) x (2 kg vine) = 10000 kg. Based on historical yield averages, this block produces about 4.5 tons per acre. An amount of fruit estimated between 9 and 10 tons is expected to be sourced from the selected area. 
⇒ In practice: a 10-ton tank size or two 5-tons tanks should accommodate the selected fruit.


Conclusion

Our example illustrates how winemakers can use Multiplex Maps along with Fruition Analytics to get the information they need to optimize picking decisions. Of course it is also possible to use the rainbow map (or any map)  instead of a two color map. By composing more homogeneous wine lots based on contrasted fruit composition with distinct fruit ripening history, winemakers can get more flexibility with blending. This in turn helps revealing vineyard complexity and potential.

 

For more information relative to the Multiplex Signature, click here

At Fruition Sciences, we acknowledge uniqueness, natural abilities and potential growth for plants and people. While respecting tradition, we provide winemakers with a highly integrated, terroir and vintage specific, data driven web application.

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Posted by Fruition Sciences

At Fruition Sciences, we acknowledge uniqueness, natural abilities and potential growth for plants and people. While respecting tradition, we provide winemakers with a highly integrated, terroir and vintage specific, data driven web application.

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