Ernesto Reyes Why global farm-level benchmarking? We are all
directly or indirectly linked via markets and product flows
Decision making is done by millions of producers every day It needs
an approach in close cooperation with producers On global scale
there is a lack of comparable farm data Collecting and comparing
this data and information assists in Understanding agriculture
worldwide Know where a certain farm type is Learn why a certain
farm type is where it is Conclude what can be changed to develop /
adjust to changing framework conditions Page 5 016.10.2013The
Agenda MSP, Ottawa
Slide 6
Ernesto Reyes Target groups and relevance 16.10.2013 Page 6 The
Agenda, MSP Ottawa Address global challenges with global overview
and systematic expertise locally Non-profit organisations Align
future production through benchmarking and positioning Producers
and their organisations Operate successfully through in-depth
understanding of markets and customers (Agri)Businesses
Slide 7
Ernesto Reyes agri benchmark data and services Page 7 Farm
Economics and Production Systems Data Base Profitability and CoP of
individual produce Profitability of farming systems What are key
drivers of CoP? Sensitivity analysis for key cost elements Cost of
individual operations (in crops) For all indicators: evolution over
time Which regions / production systems are leading edge Hotline
for specific questions on agri benchmark data and current
developments in global agriculture Specific projects, for example
how to increase labour productivity in rice? costs of forage
production? Global and country-specific sector information and time
series analysis of production, farm structures, prices and trade
16.10.2013The Agenda MSP, Ottawa
Slide 8
Ernesto Reyes Analysis and projects Page 8 Comparative global
analysis of Productions systems Economics (cost of production,
prices, profitability) Policy analysis (what-if) Farm strategy
analysis (what-if) Emission analysis (+ environmental indicators)
Close cooperation with producers and advisors 16.10.2013The Agenda
MSP, Ottawa
Slide 9
Ernesto Reyes Unique features of agri benchmark Production
systems approach >>> more than financial data and reasons
behind differences Cooperation with producers and advisors
>>> get the story behind the data Global coverage
>>> big players and emerging economies Using standardised
methods world-wide >>> global comparability Works in
countries without / with limited statistics and accounting
>>> global comparability Expert knowledge >>>
access local expertise and overcome language issues Page 9
16.10.2013The Agenda MSP, Ottawa
Slide 10
Ernesto Reyes agri benchmark at a glance Page 10 Network
Product branches Data Confe- rences Capacity building Know- how
Analysis and projects CoordinationMain supporting partner Clients
16.10.2013The Agenda MSP, Ottawa
Slide 11
Ernesto Reyes Branches in the agri benchmark Network Page 11
HorticultureDairyCash CropBeef and Sheep Under construction Pig and
Poultry Organic Under construction Cow-calf Ewes Finishing Under
construction Cereals Oilseeds Sugar Other Sows Grapes Apple Wheat
Potatoes Milk Cow-calf Coffee Bananas Finishing 16.10.2013The
Agenda MSP, Ottawa Regional EDF Global IFCN
Slide 12
Ernesto Reyes Countries in the agri benchmark Beef and sheep
Network Page 12 New countries 2013 Ireland (beef/sheep) Uruguay
(beef/sheep) China (sheep) 2013CountriesFarms Cow-calf2355 Beef
finishing2970 Sheep1425 2013CountriesFarms Cow-calf2355 Beef
finishing2970 Sheep1425 16.10.2013The Agenda MSP, Ottawa
Slide 13
Ernesto Reyes Research partners of the Beef and Sheep Network
Page 13 16.10.2013The Agenda MSP, Ottawa Research partners
Slide 14
Ernesto Reyes Research partners of the Dairy Network (IFCN)
Page 14 16.10.2013The Agenda MSP, Ottawa
Ernesto Reyes Imagine you have a guest from a foreign country
who is interested to see how wheatfarming is done in your country.
You would want to show your guest a farm that is located in an
important wheat producing region, using the common technology for
wheat production, running the prevailing crop rotation and
production system, having a not too small and not too big size,
using the prevailing combination of labour, land and capital. In
other words, you want to show your guest a typical farm! Typical
farms the principle Page 16 16.10.2013The Agenda MSP, Ottawa
Slide 17
Ernesto Reyes results can be generalised (contrary to
individual farm data) data sets are consistent and reflecting
reality of production systems (contrary to surveys and averages)
existing farms and producers can find themselves in the data of a
typical farm it has proven to be applicable on a global scale it is
cost-effective it is applicable in countries without or limited
statistics and accounting figures Typical farms reasons to choose
the concept Page 17 16.10.2013The Agenda MSP, Ottawa
Slide 18
Ernesto Reyes Statistics available to determine > important
regions > farm sizes and distribution Focus groups of producers
and advisors to > define prevailing production systems >
collect data in a standardised way Expertise of researchers +
advisors + farmers >Production system knowledge >Explore
adjustments to changes in frame work conditions (forward looking
results) Typical farms three sources of data Page 18 16.10.2013The
Agenda MSP, Ottawa
Slide 19
Ernesto Reyes Content 1.What is agri benchmark network
2.Typical farm approach 3.Examples of analysis (Cow-calf, Beef,
Sheep and Dairy) Page 19 016.10.2013The Agenda MSP, Ottawa
Slide 20
Ernesto Reyes Cow-calf Stocking rates of cow-calf enterprises
ha per cow West Europe grasslands Sweden lowland Bohemia hills
Ukraine plains Sask. plains UK Lowland North West Spain UK Upland
Kansas plains Montana Prairie Pampa Corrientes Mato Grosso Plains
Cuenca del Salado Meta Plains South Sulawesi Plains NSW Table-
lands North QLD Natal Hills Semi Kalahari 10 15 24 Ireland Lowland
Alberta foothills Gobabis Savannah 16.10.2013The Agenda MSP, Ottawa
Page 20
Slide 21
Ernesto Reyes CowCalf Total weight produced per cow from
100-400 kgs, Page 21 kg live weight (LW) produced per cow and year
16.10.2013The Agenda MSP, Ottawa
Slide 22
Ernesto Reyes Page 22 Cow-calf Total cost of cow-calf
production by countries 2012 USD per 100 kg carcass weight sold
Europe Asia Oceania AmericasAfrica 16.10.2013The Agenda MSP,
Ottawa
Slide 23
Ernesto Reyes Beef - Daily weight gain and net gain by
production system (net gain = carcass weight divided by age at
slaughter) Page 23 g per day Pasture Feedlot Silage Cut & Curry
16.10.2013The Agenda MSP, Ottawa
Slide 24
Ernesto Reyes Page 24 Beef Beef prices (and government
payments) 2012 USD per 100 kg carcass weight sold North America
South America Asia Australia Africa Europe 16.10.2013The Agenda
MSP, Ottawa
Slide 25
Ernesto Reyes Beef Total cost by production systems 2012 Page
25 USD per 100 kg carcass weight sold PastureFeedlotSilage Cut
& Carry 16.10.2013The Agenda MSP, Ottawa
Slide 26
Ernesto Reyes Beef feedlots: low margins depend heavily on
animal purchase and to lesser extent on feed costs (2005-2012) Page
26 USD per 100 kg carcass weight 16.10.2013The Agenda MSP,
Ottawa
Slide 27
Ernesto Reyes Beef - Pasture farms (2005-2012): Margin depends
mainly on beef prices and animal purchase Page 27 USD per 100 kg
carcass weight 16.10.2013The Agenda MSP, Ottawa
Slide 28
Ernesto Reyes Dairy Cost of milk production by clusters
(USD/100 kg ECM) Page 28 16.10.2013The Agenda MSP, Ottawa
Slide 29
Ernesto Reyes Page 29 16.10.2013The Agenda MSP, Ottawa Dairy
Cost of milk production by clusters (USD/100 kg ECM)
Slide 30
Ernesto Reyes Sheep Live weight sold Page 30 16.10.2013The
Agenda MSP, Ottawa Total live weight sold per ewe (kg live weight
per ewe)
Slide 31
Ernesto Reyes Sheep Total live weight sold Page 31
16.10.2013The Agenda MSP, Ottawa Total live weight sold per ewe (kg
live weight per ewe)
Slide 32
Ernesto Reyes Sheep Cost from the Profit and Loss Account (USD
per 100 kg LW sold) Page 32 16.10.2013The Agenda MSP, Ottawa Cost
from the Profit and Loss Account (USD per 100 kg LW sold)
Slide 33
Ernesto Reyes Sheep Lamb prices Page 33 16.10.2013The Agenda
MSP, Ottawa Lamb prices (USD per kg LW)
Slide 34
Ernesto Reyes Sheep Total returns Page 34 16.10.2013The Agenda
MSP, Ottawa Total returns of the sheep enterprise (USD per 100 kg
LW sold)
Slide 35
Ernesto Reyes Page 35 16.10.2013The Agenda MSP, Ottawa Cash and
non-cash cost, total returns and profitability (USD per 100 kg LW)
Sheep Cost (USD per 100 kg LW sold)
Slide 36
Ernesto Reyes Content 1.What is agri benchmark network
2.Typical farm approach 3.Examples of analysis (Cow-calf, Beef,
Sheep and Dairy) 4.Special projects 5.Linked to the Agenda Page 36
016.10.2013The Agenda MSP, Ottawa
Slide 37
Ernesto Reyes Selected projects, activities and cooperations
1.EU-COM: use of data base and tools for trade model improvements +
special analysis on demand 2.EU-COM: assessment of compliance costs
for regulations in the field of environment, animal welfare and
food safety 3.FAO-AGAL (under negotiation): use of agri benchmark
data for calculating mitigation costs 4.FAO: Integration of Maghreb
States in the agri benchmark Beef and Sheep Network 5.ILRI (under
negotiation): MoU and inclusion of the Botswana beef and Ethiopia
sheep projects into the network 6.International Meat Secretariat
(IMS): Member since 2012 Page 37 16.10.2013The Agenda MSP,
Ottawa
Slide 38
Ernesto Reyes Analysis of greenhouse gas emissions (finishing +
pre-finishing) Enteric fermentation (own data + IPCC) Manure
storage and handling (own data + IPCC) Feed production
(CO2-coefficients) Carbon sequestration (scenarios) Page 38 CO 2
equivalent emissions per 100 kg carcass weight sold 16.10.2013The
Agenda MSP, Ottawa
Slide 39
Ernesto Reyes Content 1.What is agri benchmark network
2.Typical farm approach 3.Examples of analysis (Cow-calf, Beef,
Sheep and Dairy) 4.Special projects 5.Linked to the Agenda Page 39
016.10.2013The Agenda MSP, Ottawa
Slide 40
Ernesto Reyes What we can provide 1.Global platform of partners
(research, funding and institutional) 2.A set of models, tools and
information platform 3.A harmonized and a standardized system for
global comparison at the farm level 4.A 10 year international
database on production systems and economics (3 years for
sheep)
Slide 41
Ernesto Reyes How we can model alternatives? Page 41
016.10.2013The Agenda MSP, Ottawa Introduction of rotational
grazing Production factors Labour Own hours, wage Hired hours, wage
Contractor price Land Purchase price Rent price Capital Fences
price Machines price Corrals price Inputs Seeds kg, price
Fertiliser kg, price Fuel liters, price Animal per- formance Daily
weight gain Stocking rates Number of cycles Higher sales price *
quantity NRU Nutrient balance GHG Emissions Water + energy use
Biodiversity An example
Slide 42
Ernesto Reyes Thank you Page 42 16.10.2013The Agenda MSP,
Ottawa Ernesto reyes Livestock systems Manager
E-mail:[email protected]@telefonica.net
Internet:www.agribenchmark.org agri benchmark passionate about
facts