Impact of global warming on beef cattle production cost in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100001 |
Resumo: | Global warming is affecting agribusiness in its economic aspects. Therefore, the prediction of the evolution of Brazilian beef cattle production cost was made using the IPCC forecast scenario for global warming. The methodology consisted of two steps: (i) the development of a fuzzy model that estimated the grazing land capacity (RP) decrease risk as a function of the changes in the average total rain index, air temperature and increase in extension of the dry season; and (ii) the design of an algorithm for predicting the decrease in production as function of the RPfuzzy model, that results in the impact in beef cattle productivity, and consequent increase in production costs. Historical environmental data from important producing counties in the Cerrado were organized and a set of fuzzy Gaussian functions were developed, and three possible settings (optimistic, medium and pessimistic) were considered. The decrease in beef cattle productivity was estimated using the losses in production due to the increase in air temperature and vulnerability of pasture capacity. The boundary settings for the total increase of production cost scenario used the number of animals per area of grazing land, the adoption of grain supplement and its future scenario; and the result output function pointed to a threshold within a variation from an increase in production cost of 80% (optimistic) to 160% (pessimistic). Under the optimistic scenario the total cost of Brazilian beef cattle production in the Cerrado became near to US$ 2.88 kg-1, while in the pessimistic scenario this cost reached US$ 4.16 kg-1, challenging the international competitiveness of this economic segment. |
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Impact of global warming on beef cattle production cost in Brazildry seasonenvironmental temperaturefuzzy simulationmathematical modelingGlobal warming is affecting agribusiness in its economic aspects. Therefore, the prediction of the evolution of Brazilian beef cattle production cost was made using the IPCC forecast scenario for global warming. The methodology consisted of two steps: (i) the development of a fuzzy model that estimated the grazing land capacity (RP) decrease risk as a function of the changes in the average total rain index, air temperature and increase in extension of the dry season; and (ii) the design of an algorithm for predicting the decrease in production as function of the RPfuzzy model, that results in the impact in beef cattle productivity, and consequent increase in production costs. Historical environmental data from important producing counties in the Cerrado were organized and a set of fuzzy Gaussian functions were developed, and three possible settings (optimistic, medium and pessimistic) were considered. The decrease in beef cattle productivity was estimated using the losses in production due to the increase in air temperature and vulnerability of pasture capacity. The boundary settings for the total increase of production cost scenario used the number of animals per area of grazing land, the adoption of grain supplement and its future scenario; and the result output function pointed to a threshold within a variation from an increase in production cost of 80% (optimistic) to 160% (pessimistic). Under the optimistic scenario the total cost of Brazilian beef cattle production in the Cerrado became near to US$ 2.88 kg-1, while in the pessimistic scenario this cost reached US$ 4.16 kg-1, challenging the international competitiveness of this economic segment.Escola Superior de Agricultura "Luiz de Queiroz"2010-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100001Scientia Agricola v.67 n.1 2010reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162010000100001info:eu-repo/semantics/openAccessNääs,Irenilza de AlencarRomanini,Carlos Eduardo BitesSalgado,Douglas D'AlessandroLima,Karla Andrea OliveiraVale,Marcos Martinez doLabigalini,Marcelo RicardoSouza,Silvia Regina Lucas deMenezes,Adriana GomesMoura,Daniella Jorge deeng2010-03-16T00:00:00Zoai:scielo:S0103-90162010000100001Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2010-03-16T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Impact of global warming on beef cattle production cost in Brazil |
title |
Impact of global warming on beef cattle production cost in Brazil |
spellingShingle |
Impact of global warming on beef cattle production cost in Brazil Nääs,Irenilza de Alencar dry season environmental temperature fuzzy simulation mathematical modeling |
title_short |
Impact of global warming on beef cattle production cost in Brazil |
title_full |
Impact of global warming on beef cattle production cost in Brazil |
title_fullStr |
Impact of global warming on beef cattle production cost in Brazil |
title_full_unstemmed |
Impact of global warming on beef cattle production cost in Brazil |
title_sort |
Impact of global warming on beef cattle production cost in Brazil |
author |
Nääs,Irenilza de Alencar |
author_facet |
Nääs,Irenilza de Alencar Romanini,Carlos Eduardo Bites Salgado,Douglas D'Alessandro Lima,Karla Andrea Oliveira Vale,Marcos Martinez do Labigalini,Marcelo Ricardo Souza,Silvia Regina Lucas de Menezes,Adriana Gomes Moura,Daniella Jorge de |
author_role |
author |
author2 |
Romanini,Carlos Eduardo Bites Salgado,Douglas D'Alessandro Lima,Karla Andrea Oliveira Vale,Marcos Martinez do Labigalini,Marcelo Ricardo Souza,Silvia Regina Lucas de Menezes,Adriana Gomes Moura,Daniella Jorge de |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Nääs,Irenilza de Alencar Romanini,Carlos Eduardo Bites Salgado,Douglas D'Alessandro Lima,Karla Andrea Oliveira Vale,Marcos Martinez do Labigalini,Marcelo Ricardo Souza,Silvia Regina Lucas de Menezes,Adriana Gomes Moura,Daniella Jorge de |
dc.subject.por.fl_str_mv |
dry season environmental temperature fuzzy simulation mathematical modeling |
topic |
dry season environmental temperature fuzzy simulation mathematical modeling |
description |
Global warming is affecting agribusiness in its economic aspects. Therefore, the prediction of the evolution of Brazilian beef cattle production cost was made using the IPCC forecast scenario for global warming. The methodology consisted of two steps: (i) the development of a fuzzy model that estimated the grazing land capacity (RP) decrease risk as a function of the changes in the average total rain index, air temperature and increase in extension of the dry season; and (ii) the design of an algorithm for predicting the decrease in production as function of the RPfuzzy model, that results in the impact in beef cattle productivity, and consequent increase in production costs. Historical environmental data from important producing counties in the Cerrado were organized and a set of fuzzy Gaussian functions were developed, and three possible settings (optimistic, medium and pessimistic) were considered. The decrease in beef cattle productivity was estimated using the losses in production due to the increase in air temperature and vulnerability of pasture capacity. The boundary settings for the total increase of production cost scenario used the number of animals per area of grazing land, the adoption of grain supplement and its future scenario; and the result output function pointed to a threshold within a variation from an increase in production cost of 80% (optimistic) to 160% (pessimistic). Under the optimistic scenario the total cost of Brazilian beef cattle production in the Cerrado became near to US$ 2.88 kg-1, while in the pessimistic scenario this cost reached US$ 4.16 kg-1, challenging the international competitiveness of this economic segment. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-90162010000100001 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola v.67 n.1 2010 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1748936461854441472 |