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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
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
2
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
3
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
4
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.
5
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?
6
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?
7

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Carbon footprint assessment and mitigation options of dairy under Chinese conditions

  • 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 2
  • 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 3
  • 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 4
  • 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. 5
  • 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? 6
  • 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? 7