SlideShare uma empresa Scribd logo
1 de 70
Baixar para ler offline
BRAZILIAN BEEF
    Profile
Overview on Brazilian
A INDÚSTRIA DA CARNE

       Beef Industry
    Cattle herd
     Cattle herd            195 million
                            195 million
    Anual slaughtering
     Anual slaughtering      44 million
                             44 million
    Industrial units
     Industrial units     1.100 plants
                          1.100 plants
Brazilian
Environment
Remaining Areas of
            Original Biomes in Brazil


Amazon:          84,98%

Caatinga:        62,76%

Cerrado:         60,41%

Pantanal:        86,77%

Atlantic For.:   26,77%

Pampas:          41,36%



     Remaining area of original forests in Europe: 0,3%
Livestock per Municipality
Production Costs
US$ per 100kg carcass weight
Carro de boi, interior de SP
          1916
Livestock per Municipality
Brazilian Livestock per Region %




Livestock 1974:     +/-
                    +/- 100 million
          2008:     +/-
                    +/- 200 million
Brazil’
Brazil’s Rain
  Seasons
Green mass production in tropical weather

        80%          20%           80%
Animal Production on
 Intensified Systems
Livestock price cycle


                  Boi gordo em R$/@ corrigidos pelo IGP-DI em SP a partir de
                                            1996
                                    Anos de preços altos                                                              Anos de preços baixos
100,00

 95,00

 90,00

 85,00

 80,00

 75,00

 70,00

 65,00

 60,00

 55,00
         abr/96

                  out/96
                           abr/97

                                     out/97
                                              abr/98
                                                       out/98
                                                                abr/99

                                                                         out/99
                                                                                  abr/00

                                                                                           out/00
                                                                                                    abr/01
                                                                                                             out/01
                                                                                                                       abr/02

                                                                                                                                out/02
                                                                                                                                         abr/03

                                                                                                                                                  out/03

                                                                                                                                                           abr/04
                                                                                                                                                                    out/04

                                                                                                                                                                             abr/05
                                                                                                                                                                                      out/05
                                                                                                                                                                                               abr/06
                                                                                                                                                                                                        out/06

                                                                                                                                                                                                                 abr/07
                                                                                                                                                                                                                          out/07

                                                                                                                                                                                                                                   abr/08
                                                                                                                                                                                                                                            out/08
                                                                                                                                                                                                                                                     abr/09
                                                                                                                                                                                                                                                              out/09
                                                Fonte: Scot Consultoria – www.scotconsultoria.com.br - twitter.com/scotconsultoria
Brazilian Beef Production


10.000
 9.000
 8.000
 7.000
 6.000
 5.000
 4.000
 3.000
 2.000
 1.000
   -
         1994   1995   1996   1997   1998   1999   2000   2001   2002   2003   2004   2005   2006   2007   2008* 2009**
 Série1 5.200 5.400 6.045     5.820 6.040 6.270 6.650 6.900      7.300 7.700 8.350 8.776 9.053 9.297       9.000 9.180




                                                   Thousand TON CWE




                                                                                                      Source: CNPC
90’
Beef Trade Flows 90’s
Beef Exports
2,5


2,0                                                                        Brazil


1,5
                                                                            Australia


1,0
                                                                           USA
                                                                           Argentina
0,5
                                                                           Canada

                                                                            UE-27
0,0
      97


           98


                99


                     00


                          01


                                02


                                       03


                                            04


                                                 05


                                                       06


                                                            07


                                                                 08


                                                                      09
      19


           19


                19


                     20


                          20


                               20


                                      20


                                            20


                                                 20


                                                       20


                                                            20


                                                                 20


                                                                      20
                                    Millions TON CWE




                                                                      Source: USDA
00’
Beef Trade Flows 00’s
Brazilian Beef Exports
                       USD Million
                                                  + 20%           - 24%
                                                  + 28%

6.000                                                     5.325
5.000                                       4.425
                                  3.924                                   4.116
4.000
                         3.060
3.000           2.525

2.000   1.590

1.000
   0
        2003    2004     2005     2006       2007         2008            2009


  Product        2003    2004    2005     2006      2007          2008       2009
  FRESH BEEF     1.155   1.963   2.419    3.135     3.486         4.006      3.022
  PROCESSED       338     447     525      654       694           853        649
  OTHERS           97     115     116      135       245           466        445
  TOTAL          1.590   2.525   3.060    3.924     4.425         5.325      4.116



                                                                  Source: MDIC
Brazilian Beef Exports
                         Fresh 2009


                                   OTHER 18%
             SAUDI ARABIA 3%

                                                               RUSSIA
NETHERLANDS 3%                                                 910.651
                                                                 31%


LEBANON 3%

      ITALY                                                 IRAN
     118.544                                               335.352
                                               HONG KONG
        4%   ALGERIA                 EGYPT                   11%
                       VENEZUELA                316.214
             141.774                200.122
                        164.934                   10%
               5%         5%           7%




                       US$ 3.022.566.000

                                                                         Source: MDIC
Brazilian Beef Exports
                   Processed 2009

                 PUERTO RICO
                     2%         OTHER
           JORDAN                17%
             2%
  FRANCE
    2%

BELGIUM
  2%
  JAPAN
                                                     USA
  16.558
                                                    223.148
    3%
                                                      34%
   GERMANY
    23.967
      4% NETHERLANDS           ITALY      UK
                               35.548   157.555
                 33.355
                                 5%       24%
                   5%




                     US$ 649.072.000

                                                  Source: MDIC
Financial Crisis Impact

                           Main markets of Fresh Beef Evolution
                                        000 US$

          225.000

          200.000
          175.000

          150.000
000 USD




          125.000
          100.000

           75.000

           50.000
           25.000

               0
               ago/08   set/08   out/08    nov/08   dez/08   jan/09   fev/09   mar/09    abr/09   mai/09   jun/09   jul/09   ago/09

                                          Russia       Hong Kong          Egypt         Iran      Venezuela




                                                                                                              Source: MDIC
Financial Crisis Impact
                      Trends
                    Fusions and Acquisitions


+                                     Merger - may/2009
                                      6% of bovine slaughter in 2008;

    +                             R
                                      Merger - sept/2009
        Selected Brazilian Beef
                                      25% of bovine slaughter in 2008;

           :                          Acquisition - sept/2009
+
                                      Chicken division;

                           :
                                      Renting of 11 slaughterhouses -
+                                     set/2009 increased capacity of 8.800
                                      heads/day;
Financial Crisis Impact
                                                  Trends
                                             Internacionalization

                              Argentina:       Swift
                              USA:             Swift and Co., National Beef Packers, Smithfield
                                               Foods, Pilgrim’s Pride (chicken);
                              Australia:       Swift, Tasman, Tatiara Meat
                              Europe:          Inalca

                              Uruguay:         Canelones
                              Paraguay:        Quality Meat and San Antonio
                          R




Selected Brazilian Beef




                              Argentina:       AB&P, Estancias del Sur, Quickfood, Best Beef, Mirab
                              Uruguay:         Tacuarembó, Inaler, Colonia
                              Chile:        : Quinto Cuarto, Patagonia
                              UK:              CDB Meats, Weston, Kitchen Ham Packers
                              Northern Ireland:Moy Park, Dungannon Protein
                              Netherlands:     Albert van Zoonen
                              France:          Moy Park France
Trends in the Beef Production:
         Associations
Future Perspectives

• In 2007 the world’s urban population
surpassed the rural population

• In 2050, the world population will be of
about 9 billion people (UN)

• In 2014, the GDP of developing
countries will surpass the GDP of
developed countries (IMF)

•In 2009, about 1 billion people were
living in some degree of subnutrition
(FAO)
The State of Food and
        Agriculture

“Food production must
expand by 70% in the world
and double in developing
countries, to
meet the food needs of a
world population expected to
reach 9.1 billion in 2050.”

Dr Jacques Diouf
FAO Director-General
Meat Consumption and GDP
Future Challenges
Political
       Opening new markets
       Negotiations at OMC
       Protectionism

Sanitary
      Foot and Mouth Disease
      BSE
      Traceability

Economic
     Exchange rates

Environmental
      Greenhouse gases emissions
      Deforestation
      Sustainability in beef production
FMD Map 2009




Free zone without vaccination
(Santa Catarina)

Free zone with vaccination


Alert Zone


Not free zone
Traceability

                CRIA




     MERCADOC


                        RECRIA


     MERCADOC

                       ENGORDA

     FEED LOT




                       INDUSTRIA
Exchange Rate
                 R$ x US$
                2005-
                2005-2010




2005   2006        2007   2008   2009   2010
Deforestation
Productivity Evolution

                                             Livestock X Pasture area

          180.000.000                                                                        200.000.000

          160.000.000                                                                        180.000.000

          140.000.000                                                                        160.000.000
                                                                                             140.000.000
          120.000.000
                                                                                             120.000.000
(heads)




          100.000.000




                                                                                                           (ha)
                                                                                             100.000.000
           80.000.000
                                                                                             80.000.000
           60.000.000
                                                                                             60.000.000
           40.000.000                                                                        40.000.000
           20.000.000                                                                        20.000.000
                   0                                                                         0
                        1940   1950   1960     1970       1975   1980   1985   1996   2006

                                              Livestock            Pasture




                                                                                      Source: IBGE, Mapa
Greenhouse Gases Emissions
Reduction on CH4 emissions between 1988 and 2007
    % of emissions reduction of CH4/kg of beef




                                            Source: FMVZ
TECHNOLOGY                                    Artificial
      AND BEEF                                  insemination
    PRODUCTION                              Futures

                                     Feed                        Integration
                      Protein         lot                         Breeding
                    supplement                                   Agriculture
                                                     Cross
                                                    breeding       Forest
                   Genetic
Medication
                   selection              Irrigation

         Mineral                                    Electronic
          Salt                     Rotational           tag
                                    Pasture
                                    system
  Salt             Fertilization

            Pasture
           management
Productivity

BRAZIL            1975       2007

Meat Production   2,16       7,05       + 227%
Million ton

Pasture area      165,63     171,85     + 4%
Million ha

WORLD             1975       2007

Meat production   43,73      59,85      + 37%
Million ton

Pasture area      3.193,32   3.378,17   + 6%
Million ha



                                          Source: FAO
Productivity

MATO GROSSO          2000           2008

Livestock             18             26           + 44,4%
Million heads

Pasture area         23,3           25,8          + 10,7%
Million ha

Occupation           0,76           0,99          + 30,2%
Heads/ha


 5,4 million hectares of forest were saved between 2000 and
        2008 only because of evolution in productivity



                                                   Source: IMEA
LAND USE
     SOIL DISTRIBUTION
      (Million hectares)
Amazon Rain Forest                  350   41%
Native and Cultivated Pastures      220   26%
Legal Reserve                       55    6,4%
Annual crops                        48*   5,6%
Permanent Crops                     14    1,6%
Cities, lakes, roads, etc.          20    2,4%
Cultivated forests                   5    0,6%



Other uses (indian reserves, etc)    51   6%
Avaliable area                       90   11%

              Total                 853

           Area used for agriculture

                                    7,6%
Source: CONAB *Safra 2008/09
Suppliers control

Brazilian slaughterhouses are
selecting suppliers using strict criteria
on sustainability.

If you buy Brazilian Beef, you can
be sure that beef is not coming
from:

• Ilegally deforastated areas
• farmers involved on using forced
labor

That information is provided by
competent government departments
and controled daily by
slaughterhouses on every animal
purchase.
ABIEC Associates



                          R




Selected Brazilian Beef
Gracias!
Fernando Sampaio
Sustainability Coordinator

fernando@abiec.com.br
www.abiec.com.br

Mais conteúdo relacionado

Mais de ABIEC

Uruguay Beef Inac
Uruguay Beef InacUruguay Beef Inac
Uruguay Beef InacABIEC
 
IntegraçãO Rancho 17
IntegraçãO Rancho 17IntegraçãO Rancho 17
IntegraçãO Rancho 17ABIEC
 
Propostas IndúStria
Propostas IndúStriaPropostas IndúStria
Propostas IndúStriaABIEC
 
Propostas EstratéGicas
Propostas EstratéGicasPropostas EstratéGicas
Propostas EstratéGicasABIEC
 
Produtividade Vaca Bezerro
Produtividade Vaca BezerroProdutividade Vaca Bezerro
Produtividade Vaca BezerroABIEC
 
Plan Rector
Plan RectorPlan Rector
Plan RectorABIEC
 
Mexican Beef
Mexican BeefMexican Beef
Mexican BeefABIEC
 
Chiuahua EficiêNcia ProduçãO
Chiuahua EficiêNcia ProduçãOChiuahua EficiêNcia ProduçãO
Chiuahua EficiêNcia ProduçãOABIEC
 
Canada Beef
Canada BeefCanada Beef
Canada BeefABIEC
 

Mais de ABIEC (9)

Uruguay Beef Inac
Uruguay Beef InacUruguay Beef Inac
Uruguay Beef Inac
 
IntegraçãO Rancho 17
IntegraçãO Rancho 17IntegraçãO Rancho 17
IntegraçãO Rancho 17
 
Propostas IndúStria
Propostas IndúStriaPropostas IndúStria
Propostas IndúStria
 
Propostas EstratéGicas
Propostas EstratéGicasPropostas EstratéGicas
Propostas EstratéGicas
 
Produtividade Vaca Bezerro
Produtividade Vaca BezerroProdutividade Vaca Bezerro
Produtividade Vaca Bezerro
 
Plan Rector
Plan RectorPlan Rector
Plan Rector
 
Mexican Beef
Mexican BeefMexican Beef
Mexican Beef
 
Chiuahua EficiêNcia ProduçãO
Chiuahua EficiêNcia ProduçãOChiuahua EficiêNcia ProduçãO
Chiuahua EficiêNcia ProduçãO
 
Canada Beef
Canada BeefCanada Beef
Canada Beef
 

Último

FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy Verified Accounts
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdfKhaled Al Awadi
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...lizamodels9
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfJos Voskuil
 
Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03DallasHaselhorst
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...ssuserf63bd7
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfRbc Rbcua
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africaictsugar
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 

Último (20)

FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail Accounts
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdf
 
Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03Cybersecurity Awareness Training Presentation v2024.03
Cybersecurity Awareness Training Presentation v2024.03
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdf
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africa
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 

Brazilian Beef

  • 1. BRAZILIAN BEEF Profile
  • 2. Overview on Brazilian A INDÚSTRIA DA CARNE Beef Industry Cattle herd Cattle herd 195 million 195 million Anual slaughtering Anual slaughtering 44 million 44 million Industrial units Industrial units 1.100 plants 1.100 plants
  • 4.
  • 5. Remaining Areas of Original Biomes in Brazil Amazon: 84,98% Caatinga: 62,76% Cerrado: 60,41% Pantanal: 86,77% Atlantic For.: 26,77% Pampas: 41,36% Remaining area of original forests in Europe: 0,3%
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Production Costs US$ per 100kg carcass weight
  • 13. Carro de boi, interior de SP 1916
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 20. Brazilian Livestock per Region % Livestock 1974: +/- +/- 100 million 2008: +/- +/- 200 million
  • 22. Green mass production in tropical weather 80% 20% 80%
  • 23.
  • 24.
  • 25.
  • 26. Animal Production on Intensified Systems
  • 27. Livestock price cycle Boi gordo em R$/@ corrigidos pelo IGP-DI em SP a partir de 1996 Anos de preços altos Anos de preços baixos 100,00 95,00 90,00 85,00 80,00 75,00 70,00 65,00 60,00 55,00 abr/96 out/96 abr/97 out/97 abr/98 out/98 abr/99 out/99 abr/00 out/00 abr/01 out/01 abr/02 out/02 abr/03 out/03 abr/04 out/04 abr/05 out/05 abr/06 out/06 abr/07 out/07 abr/08 out/08 abr/09 out/09 Fonte: Scot Consultoria – www.scotconsultoria.com.br - twitter.com/scotconsultoria
  • 28. Brazilian Beef Production 10.000 9.000 8.000 7.000 6.000 5.000 4.000 3.000 2.000 1.000 - 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008* 2009** Série1 5.200 5.400 6.045 5.820 6.040 6.270 6.650 6.900 7.300 7.700 8.350 8.776 9.053 9.297 9.000 9.180 Thousand TON CWE Source: CNPC
  • 30. Beef Exports 2,5 2,0 Brazil 1,5 Australia 1,0 USA Argentina 0,5 Canada UE-27 0,0 97 98 99 00 01 02 03 04 05 06 07 08 09 19 19 19 20 20 20 20 20 20 20 20 20 20 Millions TON CWE Source: USDA
  • 32. Brazilian Beef Exports USD Million + 20% - 24% + 28% 6.000 5.325 5.000 4.425 3.924 4.116 4.000 3.060 3.000 2.525 2.000 1.590 1.000 0 2003 2004 2005 2006 2007 2008 2009 Product 2003 2004 2005 2006 2007 2008 2009 FRESH BEEF 1.155 1.963 2.419 3.135 3.486 4.006 3.022 PROCESSED 338 447 525 654 694 853 649 OTHERS 97 115 116 135 245 466 445 TOTAL 1.590 2.525 3.060 3.924 4.425 5.325 4.116 Source: MDIC
  • 33. Brazilian Beef Exports Fresh 2009 OTHER 18% SAUDI ARABIA 3% RUSSIA NETHERLANDS 3% 910.651 31% LEBANON 3% ITALY IRAN 118.544 335.352 HONG KONG 4% ALGERIA EGYPT 11% VENEZUELA 316.214 141.774 200.122 164.934 10% 5% 5% 7% US$ 3.022.566.000 Source: MDIC
  • 34. Brazilian Beef Exports Processed 2009 PUERTO RICO 2% OTHER JORDAN 17% 2% FRANCE 2% BELGIUM 2% JAPAN USA 16.558 223.148 3% 34% GERMANY 23.967 4% NETHERLANDS ITALY UK 35.548 157.555 33.355 5% 24% 5% US$ 649.072.000 Source: MDIC
  • 35. Financial Crisis Impact Main markets of Fresh Beef Evolution 000 US$ 225.000 200.000 175.000 150.000 000 USD 125.000 100.000 75.000 50.000 25.000 0 ago/08 set/08 out/08 nov/08 dez/08 jan/09 fev/09 mar/09 abr/09 mai/09 jun/09 jul/09 ago/09 Russia Hong Kong Egypt Iran Venezuela Source: MDIC
  • 36. Financial Crisis Impact Trends Fusions and Acquisitions + Merger - may/2009 6% of bovine slaughter in 2008; + R Merger - sept/2009 Selected Brazilian Beef 25% of bovine slaughter in 2008; : Acquisition - sept/2009 + Chicken division; : Renting of 11 slaughterhouses - + set/2009 increased capacity of 8.800 heads/day;
  • 37. Financial Crisis Impact Trends Internacionalization Argentina: Swift USA: Swift and Co., National Beef Packers, Smithfield Foods, Pilgrim’s Pride (chicken); Australia: Swift, Tasman, Tatiara Meat Europe: Inalca Uruguay: Canelones Paraguay: Quality Meat and San Antonio R Selected Brazilian Beef Argentina: AB&P, Estancias del Sur, Quickfood, Best Beef, Mirab Uruguay: Tacuarembó, Inaler, Colonia Chile: : Quinto Cuarto, Patagonia UK: CDB Meats, Weston, Kitchen Ham Packers Northern Ireland:Moy Park, Dungannon Protein Netherlands: Albert van Zoonen France: Moy Park France
  • 38. Trends in the Beef Production: Associations
  • 39. Future Perspectives • In 2007 the world’s urban population surpassed the rural population • In 2050, the world population will be of about 9 billion people (UN) • In 2014, the GDP of developing countries will surpass the GDP of developed countries (IMF) •In 2009, about 1 billion people were living in some degree of subnutrition (FAO)
  • 40. The State of Food and Agriculture “Food production must expand by 70% in the world and double in developing countries, to meet the food needs of a world population expected to reach 9.1 billion in 2050.” Dr Jacques Diouf FAO Director-General
  • 41.
  • 43. Future Challenges Political Opening new markets Negotiations at OMC Protectionism Sanitary Foot and Mouth Disease BSE Traceability Economic Exchange rates Environmental Greenhouse gases emissions Deforestation Sustainability in beef production
  • 44. FMD Map 2009 Free zone without vaccination (Santa Catarina) Free zone with vaccination Alert Zone Not free zone
  • 45.
  • 46.
  • 47. Traceability CRIA MERCADOC RECRIA MERCADOC ENGORDA FEED LOT INDUSTRIA
  • 48. Exchange Rate R$ x US$ 2005- 2005-2010 2005 2006 2007 2008 2009 2010
  • 50. Productivity Evolution Livestock X Pasture area 180.000.000 200.000.000 160.000.000 180.000.000 140.000.000 160.000.000 140.000.000 120.000.000 120.000.000 (heads) 100.000.000 (ha) 100.000.000 80.000.000 80.000.000 60.000.000 60.000.000 40.000.000 40.000.000 20.000.000 20.000.000 0 0 1940 1950 1960 1970 1975 1980 1985 1996 2006 Livestock Pasture Source: IBGE, Mapa
  • 51. Greenhouse Gases Emissions Reduction on CH4 emissions between 1988 and 2007 % of emissions reduction of CH4/kg of beef Source: FMVZ
  • 52. TECHNOLOGY Artificial AND BEEF insemination PRODUCTION Futures Feed Integration Protein lot Breeding supplement Agriculture Cross breeding Forest Genetic Medication selection Irrigation Mineral Electronic Salt Rotational tag Pasture system Salt Fertilization Pasture management
  • 53.
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65. Productivity BRAZIL 1975 2007 Meat Production 2,16 7,05 + 227% Million ton Pasture area 165,63 171,85 + 4% Million ha WORLD 1975 2007 Meat production 43,73 59,85 + 37% Million ton Pasture area 3.193,32 3.378,17 + 6% Million ha Source: FAO
  • 66. Productivity MATO GROSSO 2000 2008 Livestock 18 26 + 44,4% Million heads Pasture area 23,3 25,8 + 10,7% Million ha Occupation 0,76 0,99 + 30,2% Heads/ha 5,4 million hectares of forest were saved between 2000 and 2008 only because of evolution in productivity Source: IMEA
  • 67. LAND USE SOIL DISTRIBUTION (Million hectares) Amazon Rain Forest 350 41% Native and Cultivated Pastures 220 26% Legal Reserve 55 6,4% Annual crops 48* 5,6% Permanent Crops 14 1,6% Cities, lakes, roads, etc. 20 2,4% Cultivated forests 5 0,6% Other uses (indian reserves, etc) 51 6% Avaliable area 90 11% Total 853 Area used for agriculture 7,6% Source: CONAB *Safra 2008/09
  • 68. Suppliers control Brazilian slaughterhouses are selecting suppliers using strict criteria on sustainability. If you buy Brazilian Beef, you can be sure that beef is not coming from: • Ilegally deforastated areas • farmers involved on using forced labor That information is provided by competent government departments and controled daily by slaughterhouses on every animal purchase.
  • 69. ABIEC Associates R Selected Brazilian Beef