09.12.2012 Views

conservation, characterisation and management of grapevine genetic

conservation, characterisation and management of grapevine genetic

conservation, characterisation and management of grapevine genetic

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

The vintage effect on anthocyanins composition is more significant than that <strong>of</strong> variety<br />

on the sum <strong>of</strong> monoglucosides whereas acetates <strong>and</strong> coumarates are more influenced by<br />

variety (Tab. 2). Figure 5 demonstrates that 2006 skin extracts have a good correlation with<br />

Pn, Mv, Dp <strong>and</strong> coumarate levels <strong>and</strong> are separated from these <strong>of</strong> 2007 <strong>and</strong> 2008. The<br />

climatic conditions <strong>of</strong> each year presented differences that could have influenced<br />

anthocyanins synthesis.<br />

Figure 5 : PCA representation <strong>of</strong> the vintages (2006, 2007, 2008) <strong>and</strong> the variables (C, EC, B3, % G <strong>and</strong> % P) <strong>of</strong> skin<br />

extracts in the plane defined by the two first principal components.<br />

For the three vintages, grape variety showed the same behavior pattern, it has no<br />

influence on both bitterness <strong>and</strong> astringency intensity (Tab. 3).Conversely, vintage effect is<br />

significant for both extracts <strong>and</strong> for both criteria (astringency <strong>and</strong> bitterness). I<br />

Tab. 3 : Astringency <strong>and</strong> bitterness intensity <strong>of</strong> seed <strong>and</strong> skin extracts <strong>of</strong> each variety <strong>and</strong> vintage.<br />

Extract origin Astringency intensity<br />

Variety*<br />

Vintage**<br />

CS M p<br />

2006 2007 2008<br />

Seeds 4.6 ± 0.6 a 4.4 ± 0.2 a 0.3429 5.0 ± 0.5 a 4.2 ± 0.1 b 4.4 ± 0.1 ab 0.0395<br />

Skins 4.4 ± 1.0 a 4.1 ± 0.3 a 0.1033 5.3 ± 0.4 a 4.2 ± 0.1 b 3.3 ± 0.4 c 0.0001<br />

Variety*<br />

Bitterness intensity<br />

Vintage**<br />

CS M p<br />

2006 2007 2008<br />

Seeds 3.8 ± 0.9 a 3.8 ± 0.3 a 0.5467 4.2 ± 0.7 a 4.0 ± 0.3 a 3.3 ± 0.5 b 0.0000<br />

Skins 3.8 ± 1.2 a 3.8± 1.0 a 0.6651 5.0 ± 0.3 a 3.3 ± 0.4 b 3.1 ± 0.3 b 0.0000<br />

*ANOVA variety effect**ANOVA vintage effect; values with different letters within each row are significantly different<br />

(Duncan’s Test, p ≤ 0.05); ± st<strong>and</strong>ard error.<br />

CONCLUSION.<br />

In our work we investigated variety (CS <strong>and</strong> M) <strong>and</strong> vintage (2006, 2007 <strong>and</strong> 2008)<br />

influence on proanthocyanidin, anthocyanin composition <strong>and</strong> sensory perception <strong>of</strong> grape skin<br />

<strong>and</strong> seed extracts. Principal component analysis (PCA) models were built to identify phenolic<br />

parameters exploitable to classify varieties <strong>and</strong> vintages. In both extracts (seeds <strong>and</strong> skins)<br />

varieties were discriminated according their phenolic composition. We demonstrate for the<br />

first time in Bordeaux winegrowing region that the mDP, the % G <strong>and</strong> the % P varies in<br />

conforming with tannin source (seed or skins) <strong>and</strong> with variety. In seeds, the mDP <strong>and</strong> the %<br />

6<br />

p<br />

p

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!