The document outlines the kick-off meeting for the CCASF project focused on assessing and mitigating the carbon footprint of dairy farming in China. It details project objectives, including developing a carbon footprint model, a database for analysis, and identifying mitigation practices, with a timeline culminating in Q1 2020. The document also discusses stakeholder involvement, data collection methods, and considerations for expanding the project's impact categories beyond greenhouse gases.

1. Carbon Footprint Assessment and Mitigation
Options of Dairy under Chinese Conditions
Kick off meeting CCASF project CHINA
16/10/2018, Kees de Koning, Marion de Vries

2. Provisional agenda
 Welcome and introduction of all members
● Apologies from Marion de Vries
 Introduction CCASF by Lini Wollenberg
 Introduction on the GHG project by prof Dong Hongmin (CAAS) and prof Li
Shengli (CAU)
 Nomination of project team leader(s) and work package leaders
 Joint discussion on the different work packages and the time schedule
 Time schedule to be discussed including all deliverables – finish Q1 2020.
 List of actions on the project including afternoon and Wednesday
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3. Objectives
 Develop a model and tool that could be used to evaluate the carbon footprint
of dairy cattle.
 Provide practice inventory of mitigation measures for reduce carbon footprint
and simultaneously result in a cost price reduction of milk.
Purpose: develop a model on assessment of carbon footprint and practice
inventory to significantly reduce the carbon footprint of the dairy sector in
China
Period: July 15th, 2018 to December 15th, 2019
Activity 1: Develop Carbon footprint model for dairy sector under China
Activity 2: Develop a Database for Carbon Footprint Assessment of Dairy
Cattle in China
Activity 3: Assessment of carbon footprint for respective Dairy farms
Activity 4: Identify the mitigation practice
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4. Preparation from WUR side /ideas for discussion 1
More ‘impact categories’ than just GHG.
Also Land Use and Land Use Change (LULUC), but also eutrophication,
acidification
Such categories might be important for other stakeholdes (local water
quality).
How to increase production per ha land / lowering GHG
LCA to be modelled in such a way that we can include mitigation
options like:
● Productivity, improving animal health, fertility
● Manure treatment and storage
● Feeding ratio, fodder production, import fodder
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5. Preparation from WUR side /ideas for discussion 2
 Regarding database: suggestion to connect with GFLI - Global Feed LCA
Institute. Initiative from feed industry to develop databases for carbon
foorprint of feed. Now database for feed(compounds) EU, Canada, & working
on Brasil. Could we do such for a Chinese feed database?
 Might be difficult, might need extra budget, to be discussed in this group
also for use by future projects. Might be sensitive .
 GFLI is based on the FeedPrint tool developed by WUR (dr Theun Vellinga)
More info http://globalfeedlca.org/
 How to involve stakeholders to get things moving (mitigatrion)
● First action should be identifying mitigation options.
● Manure, fodder production, feeding, animal management incl breeding.
● How to select stakeholders and how to involve them.
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6. Data collection
How to collect all data :by measurements, farm data, interviews or ?
What type of data is already collected. SDDDC has several databases
with farm data.
● Data on production, fertility, longevity, mortality, etc.
● Can these data be used by our project.
● Other data available on farms
● Do we have databases available regarding fodder production (eg.
DM yields per ha, inputs like manure/artificial fertilizers, land use,
use of pesticide and type of mechanisation
● From individual farms
● Other databases
● Is a CN database or other info about nutritional composition of
local feed ingredients available?
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7. Other aspects for discussion
How to select farms
What tools will be used by CAAS/CAU regarding LCA.
What does the project team expect from the WUR experts in the
different Work Packages?
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