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| 5. |  | LAMPERT, V.D.N.; CANOZZI, M.E.A.; MCMANUS, C.M.; DILL, M.D.; OLIVEIRA, T.E.D; MERCIO, T.Z.; TEIXEIRA, O.D.S.; BARCELLOS, J.O.J. Modelling beef cattle production systems from the pampas in brazil to assess intensification options. Scientia Agricola, 2020, Volume 77, Issue 4, Article number e20180263. OPEN ACCESS. DOI: http://dx.doi.org/10.1590/1678-992x-2018-0263. Article history: Received August 08, 2018 /Accepted January 18, 2019. Corresponding author (julio.barcellos@ufrgs.br). Acknowledgments:
To the Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso...| Biblioteca(s): INIA La Estanzuela. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
28/11/2019 |
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Actualizado : |
05/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
LAMPERT, V.D.N.; CANOZZI, M.E.A.; MCMANUS, C.M.; DILL, M.D.; OLIVEIRA, T.E.D; MERCIO, T.Z.; TEIXEIRA, O.D.S.; BARCELLOS, J.O.J. |
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Afiliación : |
VINÍCIUS DO NASCIMENTO LAMPERT, Embrapa Pecuária Sul, Rod. BR 153, km 603 , 96401-970, Bagé, RS, Brasil.; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CONCEPTA MARGARET MCMANUS, Universidade de Brasília, Campus Universitário Darcy Ribeiro,70910-900,Brasília, DF, Brasil.; MATHEUS DHEIN DILL, Universidade Federal do Rio Grande do Sul, Campus Litoral Norte, Depto. Interdisciplinar, Brasil.; TAMARA ESTEVES DE OLIVEIRA, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 7712, Alegre, RS, Brasil.; THOMAZ ZARA MERCIO, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 7712, Alegre, RS, Brasil.; ODILENE DE SOUZA TEIXEIRA, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 7712, Alegre, RS, Brasil.; JÚLIO OTÁVIO JARDIM BARCELLOS, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 7712, Alegre, RS, Brasil. |
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Título : |
Modelling beef cattle production systems from the pampas in brazil to assess intensification options. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Scientia Agricola, 2020, Volume 77, Issue 4, Article number e20180263. OPEN ACCESS. DOI: http://dx.doi.org/10.1590/1678-992x-2018-0263. |
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ISSN : |
1678-992X |
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DOI : |
10.1590/1678-992x-2018-0263 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received August 08, 2018 /Accepted January 18, 2019. Corresponding author (julio.barcellos@ufrgs.br). Acknowledgments:
To the Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) ? Programa Nacional de Pós-Doutorado (PNPD) (Project - 2842/2017). Authors? Contributions: Conceptualization: Lampert, V.N.; Barcellos, J.O.J. Data acquisition: Lampert, V.N.; Barcellos, J.O.J. Data analysis: Lampert, V.N.; Barcellos, J.O.J.; Mercio, T.Z.; Mcmanus, C.M.; Dill, M.D. Design of methodology:Lampert, V.N.; Barcellos, J.O.J. Writing and editing:Lampert, V.N.; Barcellos, J.OJ.; Teixeira, O.S.; Oliveira,T.E.; Canozzi, M.E.A. |
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Contenido : |
ABSTRACT: 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. MenosABSTRACT: 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 system... Presentar Todo |
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Palabras claves : |
ADOPTION OF TECHNOLOGY; ANIMAL PRODUCTION; MANAGEMENT; STOCKING RATE. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16696/1/Scientia-Agricola-2020.pdf
https://www.scielo.br/pdf/sa/v77n4/1678-992X-sa-77-04-e20180263.pdf
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Marc : |
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100 1 $aLAMPERT, V.D.N.
245 $aModelling beef cattle production systems from the pampas in brazil to assess intensification options.$h[electronic resource]
260 $c2020
500 $aArticle history: Received August 08, 2018 /Accepted January 18, 2019. Corresponding author (julio.barcellos@ufrgs.br). Acknowledgments: To the Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT), the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) ? Programa Nacional de Pós-Doutorado (PNPD) (Project - 2842/2017). Authors? Contributions: Conceptualization: Lampert, V.N.; Barcellos, J.O.J. Data acquisition: Lampert, V.N.; Barcellos, J.O.J. Data analysis: Lampert, V.N.; Barcellos, J.O.J.; Mercio, T.Z.; Mcmanus, C.M.; Dill, M.D. Design of methodology:Lampert, V.N.; Barcellos, J.O.J. Writing and editing:Lampert, V.N.; Barcellos, J.OJ.; Teixeira, O.S.; Oliveira,T.E.; Canozzi, M.E.A.
520 $aABSTRACT: 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.
653 $aADOPTION OF TECHNOLOGY
653 $aANIMAL PRODUCTION
653 $aMANAGEMENT
653 $aSTOCKING RATE
700 1 $aCANOZZI, M.E.A.
700 1 $aMCMANUS, C.M.
700 1 $aDILL, M.D.
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700 1 $aMERCIO, T.Z.
700 1 $aTEIXEIRA, O.D.S.
700 1 $aBARCELLOS, J.O.J.
773 $tScientia Agricola, 2020, Volume 77, Issue 4, Article number e20180263. OPEN ACCESS. DOI: http://dx.doi.org/10.1590/1678-992x-2018-0263.
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