Climate change and beef supply chain in Southern Brazil
Abstract The current study evaluated the uncertainty of beef cattle supply for slaughter due to the variable climate of Rio Grande do Sul, Brazil. The data included the numbers of cattle slaughtered, local live cattle prices, price and amount of exported beef, and the prices of the Brazilian beef fu...
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Online Access: | http://dx.doi.org/10.1017/s0021859618000667 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0021859618000667 |
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crcambridgeupr:10.1017/s0021859618000667 2024-03-03T08:47:08+00:00 Climate change and beef supply chain in Southern Brazil Pereira, P. R. R. X. Hasenack, H. Pereira, G. R. Dewes, H. Canellas, L. C. Oliveira, T. E. Barcellos, J. O. J. 2018 http://dx.doi.org/10.1017/s0021859618000667 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0021859618000667 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms The Journal of Agricultural Science volume 156, issue 6, page 731-738 ISSN 0021-8596 1469-5146 Genetics Agronomy and Crop Science Animal Science and Zoology journal-article 2018 crcambridgeupr https://doi.org/10.1017/s0021859618000667 2024-02-08T08:27:15Z Abstract The current study evaluated the uncertainty of beef cattle supply for slaughter due to the variable climate of Rio Grande do Sul, Brazil. The data included the numbers of cattle slaughtered, local live cattle prices, price and amount of exported beef, and the prices of the Brazilian beef futures market. Data were collected on the beef supply from January 1997 to March 2014. Climate data included El Niño (EN), La Niña (LN), South Atlantic Sub-tropical Dipole (SASD), Negative and Positive Atlantic Dipole (−AD and +AD), Tropical South and North Atlantic indices. Statistical analysis was performed by a multivariate regression of time series. It was observed that EN and SASD climatic variables increased the numbers of beef cattle slaughtered, with a 1 and 4-month lag, respectively. On the other hand, LN and -AD decreased the number of animals slaughtered, with 4 and 0 months’ lag, respectively, meaning that there was an immediate response to −AD, while there was a 4-month delay for LN. The amount of exported beef and live beef cattle prices were explained by the number of animals slaughtered in the state. Data suggested that the beef cattle market in RS was more strongly influenced by the occurrence of climate phenomena with LN and −AD than by economic variables such as the price paid to the producer for beef and the amount exported. The climate changes evaluated in the current study affect the livestock production system and consequently the beef market industry in Southern Brazil. Article in Journal/Newspaper North Atlantic Cambridge University Press Slaughter ENVELOPE(-85.633,-85.633,-78.617,-78.617) The Journal of Agricultural Science 156 6 731 738 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
topic |
Genetics Agronomy and Crop Science Animal Science and Zoology |
spellingShingle |
Genetics Agronomy and Crop Science Animal Science and Zoology Pereira, P. R. R. X. Hasenack, H. Pereira, G. R. Dewes, H. Canellas, L. C. Oliveira, T. E. Barcellos, J. O. J. Climate change and beef supply chain in Southern Brazil |
topic_facet |
Genetics Agronomy and Crop Science Animal Science and Zoology |
description |
Abstract The current study evaluated the uncertainty of beef cattle supply for slaughter due to the variable climate of Rio Grande do Sul, Brazil. The data included the numbers of cattle slaughtered, local live cattle prices, price and amount of exported beef, and the prices of the Brazilian beef futures market. Data were collected on the beef supply from January 1997 to March 2014. Climate data included El Niño (EN), La Niña (LN), South Atlantic Sub-tropical Dipole (SASD), Negative and Positive Atlantic Dipole (−AD and +AD), Tropical South and North Atlantic indices. Statistical analysis was performed by a multivariate regression of time series. It was observed that EN and SASD climatic variables increased the numbers of beef cattle slaughtered, with a 1 and 4-month lag, respectively. On the other hand, LN and -AD decreased the number of animals slaughtered, with 4 and 0 months’ lag, respectively, meaning that there was an immediate response to −AD, while there was a 4-month delay for LN. The amount of exported beef and live beef cattle prices were explained by the number of animals slaughtered in the state. Data suggested that the beef cattle market in RS was more strongly influenced by the occurrence of climate phenomena with LN and −AD than by economic variables such as the price paid to the producer for beef and the amount exported. The climate changes evaluated in the current study affect the livestock production system and consequently the beef market industry in Southern Brazil. |
format |
Article in Journal/Newspaper |
author |
Pereira, P. R. R. X. Hasenack, H. Pereira, G. R. Dewes, H. Canellas, L. C. Oliveira, T. E. Barcellos, J. O. J. |
author_facet |
Pereira, P. R. R. X. Hasenack, H. Pereira, G. R. Dewes, H. Canellas, L. C. Oliveira, T. E. Barcellos, J. O. J. |
author_sort |
Pereira, P. R. R. X. |
title |
Climate change and beef supply chain in Southern Brazil |
title_short |
Climate change and beef supply chain in Southern Brazil |
title_full |
Climate change and beef supply chain in Southern Brazil |
title_fullStr |
Climate change and beef supply chain in Southern Brazil |
title_full_unstemmed |
Climate change and beef supply chain in Southern Brazil |
title_sort |
climate change and beef supply chain in southern brazil |
publisher |
Cambridge University Press (CUP) |
publishDate |
2018 |
url |
http://dx.doi.org/10.1017/s0021859618000667 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0021859618000667 |
long_lat |
ENVELOPE(-85.633,-85.633,-78.617,-78.617) |
geographic |
Slaughter |
geographic_facet |
Slaughter |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
The Journal of Agricultural Science volume 156, issue 6, page 731-738 ISSN 0021-8596 1469-5146 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0021859618000667 |
container_title |
The Journal of Agricultural Science |
container_volume |
156 |
container_issue |
6 |
container_start_page |
731 |
op_container_end_page |
738 |
_version_ |
1792503275531010048 |