Wildwurst und Wildschinken
German, Marc Wagner, Neumann-Neudamm, 20206 pieces in stock at third-party supplier
Product details
This book provides you with the information you need for sausage making at home. Like a good cookbook, it offers short, competent instructions on how to create delicious hams and sausages using the tools available in a household kitchen. Proper smoking and sausage making is not rocket science! In collaboration with the well-known butcher Klaus-Werner Meissner from the hunting press, a handbook has been created that allows every hunter to make their own wild boar sausage, their own venison ham, or their own wild salami. Numerous recipes from practitioners complement the concise introduction to processing game into sausage or ham.
topic | Recreation + Travel |
Language | German |
Author | Marc Wagner, Neumann-Neudamm |
Year | 2020 |
Number of pages | 91 |
Book cover | Hard cover |
Item number | 7090337 |
Publisher | Neumann-Neudamm |
Category | Guidebooks |
Release date | 17.10.2007 |
topic | Recreation + Travel |
Language | German |
Author | Marc Wagner, Neumann-Neudamm |
Year | 2020 |
Number of pages | 91 |
Edition | 6 |
Book cover | Hard cover |
CO₂ emissions | 0,55 kg |
Climate contribution | EUR 0,12 |
Height | 211 mm |
Width | 202 mm |
Weight | 424 g |
30-day right of return if unopened
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Statutory warranty score
How often does a product of this brand in the «Guidebooks» category have a defect within the first 24 months?
Source: Galaxus- Neumann-NeudammNot enough data
- 1.Allegria0 %
- 1.Arbor0 %
- 1.Aris0 %
- 1.Ariston0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- Neumann-NeudammNot enough data
- 1.Dorling Kindersley0 days
- Abrams & ChronicleNot enough data
- AdacNot enough data
- Albin MichelNot enough data
Return rate
How often is a product of this brand in the «Guidebooks» category returned?
Source: Galaxus- Neumann-NeudammNot enough data
- 1.Allen & Unwin0 %
- 1.Anaconda0 %
- 1.Bertelsmann C.0 %
- 1.Bluebird0 %