1. Chapter 11 Menu Planning - Horizontal and Vertical Pairing Decisions

2. Chapter 11 Outline Aperitif: Food and Wine of the Pacific Northwest General Menu Planning Suggestions Basic Wine Sequencing Recommendations PNW Menu Item Discussion and Recipes Wine and Food Pairing Instrument Wine and Food Match Decision Tree A Profiling Approach to Match Level Assessment

3. Chapter 11 Key Concepts Horizontal or vertical pairing choices Integrating indigenous ingredients, ethnic cooking styles, and regional wines into a menu theme Using judgment to predict level of perceived food and wine match The 12 primary pairing decision rules and integrating them into your pairing decisions

4. Summary of the 12 Basic Pairing Decisions (#1-#6) Rule #1: Food sweetness level should be less than or equal to wine sweetness level. Rule #2: Food acidity level should be less than or equal to wine acidity level. Rule #3: Highly salty foods work better with wines that have high effervescence. Rule #4: The negative impact of bitter food is lessened when combined with wines of moderate to high levels of effervescence. Rule #5: Wine tannin levels should be equal to food fattiness levels. Rule #6: Wine acidity levels should be equal to vegetable food fattiness levels.

5. Summary of the 12 Basic Pairing Decisions (#7-#12) Rule #7: Overall body of wine should be equal to overall body of food. Rule #8: Food spiciness should be equal to wine spiciness. Rule #9: Spicy food should be paired with off-dry, acidic white wines. Rule #10: Food and wine flavor types can be matched using either a similarity or contrasting approach. Rule #11: Flavor intensity of wine and food should be equal to ensure an equal impact by each gastronomic partner. Rule #12: Flavor persistency of wine and food should be equal to ensure an equal impact by each gastronomic partner.

6. Pacific Northwest Cuisine Ingredients in search of a cuisine? Local chefs search out: –History –Cultural influences –Ethnic influences –Indigenous ingredients

7. Influences of Washington The western side is known for its abundant fish & seafood products: salmon, halibut, lingcod, mussels, razor & geoduck clams, Olympia oysters, and Dungeness crab. Japanese, Vietnamese, Chinese, and Thai cultures have influenced the western side. Mexican immigrants/workers and early German settlers have influenced the central and eastern areas. The central and eastern part is primarily an agricultural growing region. Protein in the central and eastern part comes from cattle ranches and feedlots, fish, and game.

8. Influences of Oregon The coastal side has an abundance of fish and seafood similar to Washington. Oregon produces amazing scallops, Dungeness crab, Coho, and King salmon. Oregon produces high quality berries, wild mushrooms, cheddar cheese, melons, and Pinot Noir grapes. There is an abundance of smoked salmon and trout available in restaurants and shops. The Native American smoking technique “hot smoke” has influenced Oregon dishes.

9. Influences of Idaho Idaho is famous for its potatoes. After the Civil War, Idaho was settled by many disenfranchised southerners who brought many techniques used in “pioneer fare”. There is a large Chinese population as a result from those who came to mine and build the railroads and ended up settling down. Idaho has the largest concentration of Basque population in the USA. It is a large producer of farmed Rainbow trout, tilapia, lamb, and a variety of fruits and vegetables. The Palouse Hills is home to the most productive wheat and lentil farms in the country.

10. Influences of British Columbia It has a variety of ethnic influences on its cuisine. Salmon was incredibly important to the First Nations people and other early settlers. Salmon remains central to their cooking today. Prawns, scallops, clams, Dungeness crab, rockfish, halibut, and black cod are prominent in the cuisine. Bentwood box cookery has influenced British Columbian dishes. Since the 1970’s, B.C. has been influenced by a blend of Asian, European, Indian, and Native flavors combined with BC ingredients.

11. Wine in the Pacific Northwest Washington: Gewürztraminer, Riesling, Chardonnay, Sauvignon Blanc, Sémillon, Lemberger, Syrah, Cabernet Sauvignon, Pinot Noir, and Merlot. Oregon: Pinot Noir, Gewürztraminer, Riesling, Chardonnay, Sauvignon Blanc, Pinot Gris, Merlot, Zinfandel, and Cabernet Sauvignon. Idaho: Chardonnay, Gewürztraminer, Riesling, Sauvignon Blanc, Sémillon, Cabernet Franc, Merlot, Pinot Noir, Cabernet Sauvignon. Okanagan Valley, BC: Riesling, Chardonnay, Sauvignon Blanc, Pinot Blanc, Pinot Noir, Merlot, and Cabernet Sauvignon.

12. Issues That Should Be Considered Before Planning Any Menu a.Audience b.Purpose c.Theme d.Equipment, staff, and location constraints e.Number of guests/price and cost issues f.Special diet needs (ex. allergies, religious restrictions…) g.Ebb and flow of menu

13. The Five Basic Rules for Wine Sequencing Decisions 1.Light-bodied wine, before medium-bodied wine, before full-bodied wine. 2.Dry wines before sweet wines. 3.Lower alcohol wines before higher alcohol wines. 4.Lower quality wines before higher quality wines. 5.Low-tannin wines before high-tannin wines. These suggestions are not always possible. Time periods between courses will assist in diminishing possible carryover issues.

14. Wine and Food Pairing Decision Tree ComponentsTextureFlavors No MatchRefreshmentNeutralGood MatchSynergistic Match Sweetness Match NoYes Acidity Match NoYes Salty Foods? Bitter Foods? Moderate to High Effervescence? NoYes NoYes Fattiness/Tannin Match or Fattiness/Wine Acid Match No Overall Body Yes No Spiciness Match or Food Spicy/Wine Sweetness Match Yes Intensity Match Persistency Match Flavor Type Match YesNo Yes No Yes 0 1 2 3 45678910

15. Chapter 11 Lagniappe “Something extra” Assessing Level of Match from Sequential Tasting: Using the Decision Tree and Wine and Food Evaluation Profiles

16. Wine and Food Profiles Each section of the decision tree points to key relationships that impact wine and food match. These are determined based on profiles provided in Figure 11.2. Match relationships are weighted and a predicted level match is created using Figure 11.4: Quantifying Wine and Food Profiles to Predict Match Level

17. Wine and Food Example A classic food and wine match is used to demonstrate the use of the Wine and Food Decision Tree, Figure 11.2 and 11.4: –A high level of perceived match: Grilled lamb chop & braised lamb shoulder with Bordeaux Rouge (9 of 10 points) –A low level of perceived match will be presented at in Chapter 12: Grilled Brie with Cabernet Sauvignon (3.5 of 10 points)

18. Lamb two ways and Bordeaux Rouge The lamb dish included a grilled lamb chop & braised lamb shoulder meat. Served with golden whipped potatoes and forest mushrooms. The wine served was 2001 Baron Philippe Rothschild, St. Émilion, Bordeaux Rouge Lamb and red Bordeaux is a classic marriage.

19. Lamb two ways and Bordeaux Rouge (2) In many parts of Bordeaux, sheep gaze in off the grasses in the vineyards. This red Bordeaux is from the Saint-Émilion appellation. St-Emilion is located on the cooler ‘Right Bank’ of the Garonne River. All Bordeaux reds use a blending model. Right Bank producers use predominately Merlot rather than a predominately Cabernet Sauvignon blend from the Left Bank vineyards.

20. Decision Tree: Stage 1 ComponentsTextureFlavors No MatchRefreshmentNeutralGood MatchSynergistic Match Sweetness Match NoYes Acidity Match NoYes Salty Foods? Bitter Foods? Moderate to High Effervescence? NoYes NoYes Fattiness/Tannin Match or Fattiness/Wine Acid Match No Overall Body Yes No Spiciness Match or Food Spicy/Wine Sweetness Match Yes Intensity Match Persistency Match Flavor Type Match YesNo Yes No Yes 0 1 2 3 45678910 Step 1 is to look at the critical match of wine and food components. This assessment is critical in determining moving from no match to higher levels. To determine this, it is essential to look at levels of sweetness and acidity as well as if the food is overly salty or bitter.

21. Figure 11.2C: Components Wine: Bordeaux Rouge Food: Lamb two ways COMPONENTS FOOD1FOOD1 WINE1WINE1 Sweetness Acidity Saltiness Bitterness Dry to Sweet Acidity Effervescence 0510 Basic components profile

22. Figure 11.2C: Components Wine: Bordeaux Rouge Food: Lamb two ways COMPONENTS FOOD1FOOD1 WINE1WINE1 Sweetness Acidity Saltiness Bitterness Dry to Sweet Acidity Effervescence 0510 Sweetness match

23. Figure 11.2C: Components Wine: Bordeaux Rouge Food: Lamb two ways COMPONENTS FOOD1FOOD1 WINE1WINE1 Sweetness Acidity Saltiness Bitterness Dry to Sweet Acidity Effervescence 0510 Refreshing acidity match

24. Figure 11.2C: Components Wine: Bordeaux Rouge Food: Lamb two ways COMPONENTS FOOD1FOOD1 WINE1WINE1 Sweetness Acidity Saltiness Bitterness Dry to Sweet Acidity Effervescence 0510 No excessive salt or bitterness

25. Figure 11.2C: Components Wine: Bordeaux Rouge Food: Lamb two ways COMPONENTS FOOD1FOOD1 WINE1WINE1 Sweetness Acidity Saltiness Bitterness Dry to Sweet Acidity Effervescence 0510 No excessive salt or bitterness Lightly to moderately salty foods can enhance the taste of red wines

26. Top Section of Figure 11.4: Components Impact on Predicted Match ComponentsSimilarityContrastScore Sweetness Match __X__________1__ Sweetness Match __X__________1__ (Food Sweetness < or = Wine Sweetness Yes=1, No=0) (Food Sweetness < or = Wine Sweetness Yes=1, No=0) Acidity Match __ X__________1__ Acidity Match __ X__________1__ (Food Acid < or = Wine Acidity Yes=1, No=0) (Food Acid < or = Wine Acidity Yes=1, No=0) Low to Moderate Levels of Food Saltiness_.5 _ Low to Moderate Levels of Food Saltiness_.5 _ (Yes=.5, No=0) (Yes=.5, No=0) Low to Moderate Levels of Food Bitterness_.5 _ Low to Moderate Levels of Food Bitterness_.5 _ (Yes=.5, No=0) (Yes=.5, No=0) Moderate-High Food Saltiness or Bitterness and Wine Effervescence Level Match Moderate-High Food Saltiness or Bitterness and Wine Effervescence Level Match (Yes=1, No=0)_____ (Yes=1, No=0)_____ High Levels of Food Salt or Bitterness (Yes=No Match) No Match High Levels of Food Salt or Bitterness (Yes=No Match) No Match Components Subtotal___ 2 ___

27. Top Section of Figure 11.4: Components Impact on Predicted Match ComponentsSimilarityContrastScore Sweetness Match __X__________1__ Sweetness Match __X__________1__ (Food Sweetness < or = Wine Sweetness Yes=1, No=0) (Food Sweetness < or = Wine Sweetness Yes=1, No=0) Acidity Match __ X__________1__ Acidity Match __ X__________1__ (Food Acid < or = Wine Acidity Yes=1, No=0) (Food Acid < or = Wine Acidity Yes=1, No=0) Low to Moderate Levels of Food Saltiness_.5 _ Low to Moderate Levels of Food Saltiness_.5 _ (Yes=.5, No=0) (Yes=.5, No=0) Low to Moderate Levels of Food Bitterness_.5 _ Low to Moderate Levels of Food Bitterness_.5 _ (Yes=.5, No=0) (Yes=.5, No=0) Moderate-High Food Saltiness or Bitterness and Wine Effervescence Level Match Moderate-High Food Saltiness or Bitterness and Wine Effervescence Level Match (Yes=1, No=0)_____ (Yes=1, No=0)_____ High Levels of Food Salt or Bitterness (Yes=No Match) No Match High Levels of Food Salt or Bitterness (Yes=No Match) No Match Components Subtotal___ 2 ___ Lamb and Bordeaux components match in all areas: sweetness, acidity, bitterness and saltiness. No need for palate cleansing bubbles to counteract for high food saltiness or bitterness.

28. Decision Tree: Stage 2 ComponentsTextureFlavors No MatchRefreshmentNeutralGood MatchSynergistic Match Sweetness Match NoYes Acidity Match NoYes Salty Foods? Bitter Foods? Moderate to High Effervescence? NoYes NoYes Fattiness/Tannin Match or Fattiness/Wine Acid Match No Overall Body Yes No Spiciness Match or Food Spicy/Wine Sweetness Match Yes Intensity Match Persistency Match Flavor Type Match YesNo Yes No Yes 0 1 2 3 45678910 Step 2 is to look at texture match. Pertains to food fattiness/wine tannin and overall perceived body in wine and food.

29. Figure 11.2C: Texture Wine: Bordeaux Rouge Food: Lamb two ways TEXTURE F2F2 WINE2WINE2 Fattiness Overall Body Tannin Alcohol Overall Body 0510 Basic texture profile

30. Figure 11.2C: Texture Wine: Bordeaux Rouge Food: Lamb two ways TEXTURE F2F2 WINE2WINE2 Fattiness Overall Body Tannin Alcohol Overall Body 0510 Lamb fattiness level and wine tannins are a good match

31. Figure 11.2C: Texture Wine: Bordeaux Rouge Food: Lamb two ways TEXTURE F2F2 WINE2WINE2 Fattiness Overall Body Tannin Alcohol Overall Body 0510 Lamb and Bordeaux - Overall Body match moves the marriage to a least a neutral match level

32. Middle Section of Figure 11.4: Texture Impact on Predicted Match TextureSimilarityContrastScore TextureSimilarityContrastScore Food Fattiness and Wine Tannin Match_ 1 _ Food Fattiness and Wine Tannin Match_ 1 _ (Food Fattiness = Wine Tannin Yes=1, No=0) (Food Fattiness = Wine Tannin Yes=1, No=0) Food Fattiness (Vegetable Fat) and Wine Acidity Match_ 0 _ Food Fattiness (Vegetable Fat) and Wine Acidity Match_ 0 _ (Food Fattiness = Wine Acid Yes=1, No=0) (Food Fattiness = Wine Acid Yes=1, No=0) Food and Wine Body Match__X________ _ 1 _ Food and Wine Body Match__X________ _ 1 _ (Food Overall Body = Wine Overall Body Yes=1, No=0) (Food Overall Body = Wine Overall Body Yes=1, No=0) Texture Subtotal___ 2 ___

33. Middle Section of Figure 11.4: Texture Impact on Predicted Match TextureSimilarityContrastScore TextureSimilarityContrastScore Food Fattiness and Wine Tannin Match_ 1 _ Food Fattiness and Wine Tannin Match_ 1 _ (Food Fattiness = Wine Tannin Yes=1, No=0) (Food Fattiness = Wine Tannin Yes=1, No=0) Food Fattiness (Vegetable Fat) and Wine Acidity Match_ 0 _ Food Fattiness (Vegetable Fat) and Wine Acidity Match_ 0 _ (Food Fattiness = Wine Acid Yes=1, No=0) (Food Fattiness = Wine Acid Yes=1, No=0) Food and Wine Body Match__X________ _ 1 _ Food and Wine Body Match__X________ _ 1 _ (Food Overall Body = Wine Overall Body Yes=1, No=0) (Food Overall Body = Wine Overall Body Yes=1, No=0) Texture Subtotal___ 2 ___ Lamb fattiness and wine tannins should interact to create a pleasant match. Overall body of the lamb dish is slightly higher than the Bordeaux but does not overpower the wine creating a match.

34. Decision Tree: Stage 3 ComponentsTextureFlavors No MatchRefreshmentNeutralGood MatchSynergistic Match Sweetness Match NoYes Acidity Match NoYes Salty Foods? Bitter Foods? Moderate to High Effervescence? NoYes NoYes Fattiness/Tannin Match or Fattiness/Wine Acid Match No Overall Body Yes No Spiciness Match or Food Spicy/Wine Sweetness Match Yes Intensity Match Persistency Match Flavor Type Match YesNo Yes No Yes 0 1 2 3 45678910 Flavor elements have the potential to move this match from good to great!

35. Figure 11.2C: Flavors Wine: Bordeaux Rouge Food: Lamb two ways FLAVORS F3F3 W3W3 Spicy Intensity Persistence Spicy Intensity Persistence 0510 Basic flavor profile Pepper Pepper

36. Figure 11.2C: Flavors Wine: Bordeaux Rouge Food: Lamb two ways FLAVORS F3F3 W3W3 Spicy Intensity Persistence Spicy Intensity Persistence 0510 Pepper Pepper Peppery spice flavors in the lamb dish and wine (at about the same intensity) create a spiciness match – in level and type!

37. Figure 11.2C: Flavors Wine: Bordeaux Rouge Food: Lamb two ways FLAVORS F3F3 W3W3 Spicy Intensity Persistence Spicy Intensity Persistence 0510 Pepper Pepper Flavor intensity is a partial match – the lamb is more intense than the wine – should we have selected a Bordeaux from the Left Bank? Persistence in the wine and food provide a good match.

38. Figure 11.2C: Bottom Section Wine: Bordeaux Rouge Food: Lamb two ways Food Flavor Type: Wine Flavor Type: Food Observations: Use of wine in the preparation of the braised lamb enhances match. Wine Observations: Young, tannic red wine is smoothed with lamb fattiness. Level of Food & Wine Match:Match based on: 0---1---2---3---4---5---6---7---8---9---10 FruityNuttySmokyCheesyHerbalUmamiEarthyOther FruityNuttySmokyButteryHerbalFloralEarthyOther Components ComplementaryContrast Texture Flavors Comments: NoneRefreshmentNeutralGoodSynergistic X X X

39. Lower Section of Figure 11.4: Flavor Impact on Predicted Match Flavor SimilarityContrastScore Flavor SimilarityContrastScore Low to Moderate Spice Level Match __X__ _______ 1 _ Low to Moderate Spice Level Match __X__ _______ 1 _ (Food Spiciness = Wine Spiciness Yes=1, No=0) (Food Spiciness = Wine Spiciness Yes=1, No=0) Moderate Food Spice and Wine Sweetness ______ ______ _ 1 _ Moderate Food Spice and Wine Sweetness ______ ______ _ 1 _ (Food Spiciness = Wine Sweetness Yes=1, No=0) (Food Spiciness = Wine Sweetness Yes=1, No=0) High Levels of Food Spice No Match High Levels of Food Spice No Match Flavor Intensity Match_.5 _ Flavor Intensity Match_.5 _ (Food Intensity = Wine Intensity Yes=1, No=0) (Food Intensity = Wine Intensity Yes=1, No=0) Flavor Type Match __X__ _______ 1 _ Flavor Type Match __X__ _______ 1 _ (Flavors similar or contrasting Yes=1, No=0) (Flavors similar or contrasting Yes=1, No=0) Flavor Persistency Match_ 1 _ Flavor Persistency Match_ 1 _ (Food Persistence = Wine Persistence Yes=1, No=0) (Food Persistence = Wine Persistence Yes=1, No=0) Subtotal Flavor__ 4.5 __ A lower weight due to partial intensity match

40. Figure 11.4: Total Predicted match Score Lamb Two Ways and Bordeaux Rouge Components Subtotal___ 2 ___ Texture Subtotal ___ 2 ___ Subtotal Flavor ___ 4.5 ___ Total Predicted Match ___ 8.5 ___ Close to the actual average of 9/10 with a mixed tasting

41. Results of the Decision Tree and Profile Approach Provides a strong connection to match level derived through mixed tasting. Creates a systematic thought process for wine and food selection. While good wine selection is based on substantial experience, this process allows the novice to develop critical assessment skills while developing food and wine pairing experience.