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Provedor de dados:  Scientia Agricola
País:  Brazil
Título:  Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options
Autores:  Lampert,Vinícius do Nascimento
Canozzi,Maria Eugênia Andrighetto
McManus,Concepta Margaret
Dill,Matheus Dhein
Oliveira,Tamara Esteves de
Mercio,Thomaz Zara
Teixeira,Odilene de Souza
Barcellos,Júlio Otávio Jardim
Data:  2020-01-01
Ano:  2020
Palavras-chave:  Adoption of technology
Animal production
Management
Stocking rate
Resumo:  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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000400502
Editor:  São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
Relação:  10.1590/1678-992x-2018-0263
Formato:  text/html
Fonte:  Scientia Agricola v.77 n.4 2020
Direitos:  info:eu-repo/semantics/openAccess
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