2017
DOI: 10.1590/0103-8478cr20160516
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Financial indicators to evaluate the economic performance of feedlot steers with different slaughter weights

Abstract: The objective of this study was to evaluate various financial indicators, estimated deterministically (considering historical quotes twelve consecutive years - 2003 to 2014), on the economic feasibility of finishing steers commercialized with different weights, using the simulation technique. Performance data steers were simulated with average initial weight of 350kg, fed in feedlot and slaughtered with 410, 440, 470, 500, 530, 560 and 590kg. The feeding period varies from 46 to 185 days, respectively. Based i… Show more

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Cited by 5 publications
(4 citation statements)
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“…No analysis of their economic efficiency was undertaken, however, although more head were counted as their body size decreased. This fact likely leads to higher variable costs (Fabricio et al, 2017), which are key factors for production. On the other hand, the fixed costs of a system have the greatest influence on the economic outcome (Silva et al, 2017); therefore, in cow-calf production systems, they should be diluted as much as possible so that better economic results can be attained (Ávila, Pacheco, & Pascoal, 2016).…”
Section: Resultsmentioning
confidence: 99%
“…No analysis of their economic efficiency was undertaken, however, although more head were counted as their body size decreased. This fact likely leads to higher variable costs (Fabricio et al, 2017), which are key factors for production. On the other hand, the fixed costs of a system have the greatest influence on the economic outcome (Silva et al, 2017); therefore, in cow-calf production systems, they should be diluted as much as possible so that better economic results can be attained (Ávila, Pacheco, & Pascoal, 2016).…”
Section: Resultsmentioning
confidence: 99%
“…No entanto, existem muitas interações a serem consideradas na viabilidade econômica do confinamento de bovinos, como as variáveis de desempenho zootécnico, época de comercialização (PACHECO et al, 2019), peso de abate (FABRÍCIO et al, 2017), categoria animal (PACHECO et al, 2014a), tipo de dieta (SILVA et al, 2020), nível de concentrado (MISSIO et al, 2009;ROSA et al, 2017), bonificação de carcaça (PACHECO et al, 2015), localidade (FABRÍCIO, 2020;QUEIROZ et al, 2022) e também o peso inicial dos animais, entre outros.…”
Section: Resultsunclassified
“…Specifically, about feedlot beef cattle, ROSA et al, SILVA et al, (2017) have used Monte Carlo simulation to assess the economic viability of using different concentrate levels in the diets. Conversely, PACHECO et al, (2014aPACHECO et al, ( , 2017 and FABRICIO et al, (2017) have used this technique to assess different slaughter weights, and Pacheco et al (2014b) to assess different categories of calves.…”
Section: Resultsmentioning
confidence: 99%