Presentación de Luis Barioni y Geraldo Bueno Martha, EMBRAPA, Brasil, durante la XI Reunión de la CODEGALAC, Capítulo Cono Sur, realizada del 16 y 18 de noviembre de 2010 en Buenos Aires, Argentina
Similaire à Recuperación de áreas degradadas e intensificación sostenible de sistemas silvoagropecuarios como una respuesta al cambio climático en América Latina
Similaire à Recuperación de áreas degradadas e intensificación sostenible de sistemas silvoagropecuarios como una respuesta al cambio climático en América Latina (20)
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Recuperación de áreas degradadas e intensificación sostenible de sistemas silvoagropecuarios como una respuesta al cambio climático en América Latina
1. Production Efficiency Models for
Decision Support in Livestock
Production on PasturesProduction on Pastures
Luís Gustavo Barioni
Computacional Mathematics Laboratory
Embrapa Informática Agropecuária
2. Where are the most
efficient systems?
Where are there greatest
Are we efficient?
Which municipalities
could improve
production?
Where are there greatest
opportunities for
production efficiency
improvement?
Can we produce what will
be demanded?
Is our production
environmentally
efficient?
3. The Concept of
Efficiency
Inputs Outputs
The efficiency concept is concerned with the
relationship of inputs and outputs of a system
System
5. Evaluating Efficiency
Inputs Outputs
Is compared with some reference value,
usually extremes (maximum or minimum)
System
100 W 70 W
Max = 100W
Eff =70 W/100W = 0.7 = 70%
6. Evaluating Efficiency
Inputs Outputs
A production system is said to be efficient if it produces
maximum output for a given set of inputs
System
Given monetary value to the inputs, a production system is
efficient when cost per unit of output is minimum
8. Production efficiency can be
evaluated in relation to an
reference (optimal) extremereference (optimal) extreme
value!
9. Potential Stocking Rates
Where are the most
efficient systems?
Are we efficient?
Can we produce what
will be demanded?
IBGE, 2006
Stocking rate (hd/ha)
Stocking rate (hd/ha)
Where are there greatest
opportunities for
production efficiency
improvement?
14. Process-based models
Animais
Venda
Produtos
Compra e
Venda de
Animais
Photosynthesis
Solar Radiation
Pasture growth multiplier LAI
Day Length
and Temperature
Photosynthesis
Solar Radiation
Pasture growth multiplier LAI
Day Length
and Temperature
PhotosynthesisPhotosynthesis
Solar Radiation
Pasture growth multiplier LAI
Day Length
and Temperature
Subsistema BiofísicoSubsistema Biofísico
Pastagem
Solo
Pastejo
AbsorçãoDecomposição
Pisoteio
Fezes e
Urina
Live Stem Dead Stem
Leaves above
growing point
Leaves below
growing point
(mature)
Dead Leaves
Dies (Grazing/tiller death caused by competition or
environmental stress/ senescence )
Dies (tiller death caused by competition or
environmental stress)
Decomp. Stems
Assimilates
Respiration
(maintenance,
growth)
Stem Growth Rate
Decomp. Leaves
Leaves Growth Rate
Stem elongation
Realocation of carbohydrates from dying leaves.
Senescence
Live Stem Dead Stem
Leaves above
growing point
Leaves below
growing point
(mature)
Dead Leaves
Dies (Grazing/tiller death caused by competition or
environmental stress/ senescence )
Dies (tiller death caused by competition or
environmental stress)
Decomp. Stems
Assimilates
Respiration
(maintenance,
growth)
Stem Growth Rate
Decomp. Leaves
Leaves Growth Rate
Stem elongation
Realocation of carbohydrates from dying leaves.
Senescence
Live Stem Dead Stem
Leaves above
growing point
Leaves below
growing point
(mature)
Dead Leaves
Dies (Grazing/tiller death caused by competition or
environmental stress/ senescence )
Dies (tiller death caused by competition or
environmental stress)
Decomp. Stems
Assimilates
Respiration
(maintenance,
growth)
Stem Growth Rate
Decomp. Leaves
Leaves Growth Rate
Stem elongation
Realocation of carbohydrates from dying leaves.
Senescence
18. Low Carbon Brazil Study
Herd Dynamics/
Production systems
allocation models
Bovine Meat Demand Projections Land Availability Projections
allocation models
Farm model
Productivity of Land
Emissions projections
Economic Analysis
World Bank, 2010
19. Pastagens (172 M ha)
Vegetação
Natural
Outros Cultivos (78 M ha)