Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/203694 |
Resumo: | Traditional livestock productivity is hard to estimate, since it depends on a gamut of animal production indicators that are difficult to measure for many farms. Thus, we propose an analytical method for estimating productivity and understanding the importance of animal production indicators under different full-cycle cattle production systems in Brazil. To evaluate the impact of these indicators, equations were derived from a comutational model of herd evolution for estimating the output parameters of the system as follows: productivity per hectare (PH) and offtake rate (COR), as a function of the indicators; calving rate (CR), mating age (AM), age of slaughter (AS) and stocking rate (SR). For this analysis, twenty-seven scenarios (simulation data) of low to high productivity were used, resulting from the combination of the following factors and levels: 1) calving rate of 50, 65 and 80 %; 2) mating age of heifers of one, two and three, years of age; and 3) age at slaughter of one, two and three year old steers. The scenario with the highest impact for each parameter and the indicator of highest impact for each scenario were identified for the production conditions in the region. Under most scenarios, a reduction in mating age had a greater impact on the productivity indexes compared to a reduction in slaughter age. Appropriate management of available technologies enables farmers to compare the marginal impacts of specific indicators on full-cycle production systems for beef cattle. |
id |
UFRGS-2_9085e29f558097f83b9b83d8f5784b18 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/203694 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Lampert, Vinícius do NascimentoCanozzi, Maria Eugênia AndrighettoPimentel, Concepta Margaret McManusDill, Matheus DheinOliveira, Tamara Esteves deMercio, Thomaz ZaraTeixeira, Odilene de SouzaBarcellos, Julio Otavio Jardim2019-12-24T03:59:42Z20200103-9016http://hdl.handle.net/10183/203694001106787Traditional livestock productivity is hard to estimate, since it depends on a gamut of animal production indicators that are difficult to measure for many farms. Thus, we propose an analytical method for estimating productivity and understanding the importance of animal production indicators under different full-cycle cattle production systems in Brazil. To evaluate the impact of these indicators, equations were derived from a comutational model of herd evolution for estimating the output parameters of the system as follows: productivity per hectare (PH) and offtake rate (COR), as a function of the indicators; calving rate (CR), mating age (AM), age of slaughter (AS) and stocking rate (SR). For this analysis, twenty-seven scenarios (simulation data) of low to high productivity were used, resulting from the combination of the following factors and levels: 1) calving rate of 50, 65 and 80 %; 2) mating age of heifers of one, two and three, years of age; and 3) age at slaughter of one, two and three year old steers. The scenario with the highest impact for each parameter and the indicator of highest impact for each scenario were identified for the production conditions in the region. Under most scenarios, a reduction in mating age had a greater impact on the productivity indexes compared to a reduction in slaughter age. Appropriate management of available technologies enables farmers to compare the marginal impacts of specific indicators on full-cycle production systems for beef cattle.application/pdfengScientia Agricola [recurso eletrônico]. Piracicaba. Vol. 77, n. 4 (2020), e20180263, 13 p.Bovinos de corteProdução animalPampa, RegiãoModelling beef cattle production systems from the Pampas in Brazil to assess intensification optionsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001106787.pdf.txt001106787.pdf.txtExtracted Texttext/plain56970http://www.lume.ufrgs.br/bitstream/10183/203694/2/001106787.pdf.txtfd76c70475dd959ad4e44cc37f939821MD52ORIGINAL001106787.pdfTexto completo (inglês)application/pdf554441http://www.lume.ufrgs.br/bitstream/10183/203694/1/001106787.pdfcfe05e873bf43ee77114a4052c4e1695MD5110183/2036942019-12-25 05:05:04.648257oai:www.lume.ufrgs.br:10183/203694Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2019-12-25T07:05:04Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
title |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
spellingShingle |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options Lampert, Vinícius do Nascimento Bovinos de corte Produção animal Pampa, Região |
title_short |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
title_full |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
title_fullStr |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
title_full_unstemmed |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
title_sort |
Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options |
author |
Lampert, Vinícius do Nascimento |
author_facet |
Lampert, Vinícius do Nascimento Canozzi, Maria Eugênia Andrighetto Pimentel, Concepta Margaret McManus Dill, Matheus Dhein Oliveira, Tamara Esteves de Mercio, Thomaz Zara Teixeira, Odilene de Souza Barcellos, Julio Otavio Jardim |
author_role |
author |
author2 |
Canozzi, Maria Eugênia Andrighetto Pimentel, Concepta Margaret McManus Dill, Matheus Dhein Oliveira, Tamara Esteves de Mercio, Thomaz Zara Teixeira, Odilene de Souza Barcellos, Julio Otavio Jardim |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Lampert, Vinícius do Nascimento Canozzi, Maria Eugênia Andrighetto Pimentel, Concepta Margaret McManus Dill, Matheus Dhein Oliveira, Tamara Esteves de Mercio, Thomaz Zara Teixeira, Odilene de Souza Barcellos, Julio Otavio Jardim |
dc.subject.por.fl_str_mv |
Bovinos de corte Produção animal Pampa, Região |
topic |
Bovinos de corte Produção animal Pampa, Região |
description |
Traditional livestock productivity is hard to estimate, since it depends on a gamut of animal production indicators that are difficult to measure for many farms. Thus, we propose an analytical method for estimating productivity and understanding the importance of animal production indicators under different full-cycle cattle production systems in Brazil. To evaluate the impact of these indicators, equations were derived from a comutational model of herd evolution for estimating the output parameters of the system as follows: productivity per hectare (PH) and offtake rate (COR), as a function of the indicators; calving rate (CR), mating age (AM), age of slaughter (AS) and stocking rate (SR). For this analysis, twenty-seven scenarios (simulation data) of low to high productivity were used, resulting from the combination of the following factors and levels: 1) calving rate of 50, 65 and 80 %; 2) mating age of heifers of one, two and three, years of age; and 3) age at slaughter of one, two and three year old steers. The scenario with the highest impact for each parameter and the indicator of highest impact for each scenario were identified for the production conditions in the region. Under most scenarios, a reduction in mating age had a greater impact on the productivity indexes compared to a reduction in slaughter age. Appropriate management of available technologies enables farmers to compare the marginal impacts of specific indicators on full-cycle production systems for beef cattle. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-12-24T03:59:42Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/203694 |
dc.identifier.issn.pt_BR.fl_str_mv |
0103-9016 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001106787 |
identifier_str_mv |
0103-9016 001106787 |
url |
http://hdl.handle.net/10183/203694 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Scientia Agricola [recurso eletrônico]. Piracicaba. Vol. 77, n. 4 (2020), e20180263, 13 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/203694/2/001106787.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/203694/1/001106787.pdf |
bitstream.checksum.fl_str_mv |
fd76c70475dd959ad4e44cc37f939821 cfe05e873bf43ee77114a4052c4e1695 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
lume@ufrgs.br |
_version_ |
1817725060114284544 |