Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate

Detalhes bibliográficos
Autor(a) principal: Rosa, Joilmaro Rodrigo Pereira
Data de Publicação: 2017
Outros Autores: Camera, Angelina, Pacheco, Paulo Santana, Fabricio, Edom de Avila, Lemes, Daniel Batista
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/34547
Resumo: The economic viability of feedlot Aberdeen Angus steers fed with diets composed of different concentrate levels (CL) in dry matter (25, 40, 55 or 70%) was estimated using Monte Carlo simulation combined with Spearman rank correlation, considering nine random input variables, as well as stochastic dominance (DOM) and sensitivity (SENS) analyses. For the financial indicator simulation, net present value (NPV), cash flow with indicators of performance, and the probability distribution of all cost and income items (from 2003 to 2014) were used. Latin hypercube sampling and a Mersenne Twister random number generator was employed for the simulation, which included 2000 interactions. The expected mean values ± standard deviation for NPV (USD/animal) were 44.94 ± 68.01, 44.50 ± 69.25, 15.39 ± 69.22 and 54.20 ± 71.58 for the diets containing 25, 40, 55 and 70% CL, respectively. The probability of NPV ≥ 0 was 76.8, 76.0, 57.9 and 78.1%, respectively, from the smallest to largest CL. The DOM analysis showed that 25 and 40% CL have similar probability curves, the 70% level dominated the remaining and all CL dominated 55%. According to SENS analysis, the items that most influenced the NPV were, in decreasing order, finished and feeder cattle price, initial and final weights, concentrate and roughage price, concentrate intake, minimum rate of attractiveness and roughage intake. Based on the simulation results, the 70% CL showed a higher NPV and greater likelihood of economic viability. The probabilistic simulation technique is an interesting tool for decision-making in investment projects with beef cattle feedlot, therefore, further studies in this line of research is recommended.
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spelling Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate Análise de risco da viabilidade econômica do confinamento de novilhos Aberdeen Angus alimentados com diferentes proporções de concentrado Investment analysisinvestment projectprobabilistic analysisstochastic methodrank correlationAgricultural SciencesThe economic viability of feedlot Aberdeen Angus steers fed with diets composed of different concentrate levels (CL) in dry matter (25, 40, 55 or 70%) was estimated using Monte Carlo simulation combined with Spearman rank correlation, considering nine random input variables, as well as stochastic dominance (DOM) and sensitivity (SENS) analyses. For the financial indicator simulation, net present value (NPV), cash flow with indicators of performance, and the probability distribution of all cost and income items (from 2003 to 2014) were used. Latin hypercube sampling and a Mersenne Twister random number generator was employed for the simulation, which included 2000 interactions. The expected mean values ± standard deviation for NPV (USD/animal) were 44.94 ± 68.01, 44.50 ± 69.25, 15.39 ± 69.22 and 54.20 ± 71.58 for the diets containing 25, 40, 55 and 70% CL, respectively. The probability of NPV ≥ 0 was 76.8, 76.0, 57.9 and 78.1%, respectively, from the smallest to largest CL. The DOM analysis showed that 25 and 40% CL have similar probability curves, the 70% level dominated the remaining and all CL dominated 55%. According to SENS analysis, the items that most influenced the NPV were, in decreasing order, finished and feeder cattle price, initial and final weights, concentrate and roughage price, concentrate intake, minimum rate of attractiveness and roughage intake. Based on the simulation results, the 70% CL showed a higher NPV and greater likelihood of economic viability. The probabilistic simulation technique is an interesting tool for decision-making in investment projects with beef cattle feedlot, therefore, further studies in this line of research is recommended.Estimou-se o risco da viabilidade econômica do confinamento de novilhos Aberdeen Angus alimentados com dietas com diferentes níveis de concentrado (NC) na matéria seca (25, 40, 55 ou 70%), utilizando simulação de Monte Carlo associado com o uso de correlação de Spearman entre nove variáveis aleatórias de entrada, dominância estocástica (DOM) e análise de sensibilidade (SENS). Para a simulação do indicador financeiro Valor Presente Líquido (VPL), foi utilizado fluxo de caixa com indicadores de desempenho e distribuição de probabilidade de todos os itens de custos e receitas (anos de 2003 a 2014). Amostragem de Hipercubo Latino e gerador de números aleatórios Mersenne Twister foram utilizados para a simulação com 2.000 interações. Os valores médios esperados para VPL ± desvio padrão (USD/animal) foram de: 44,94 ± 68,01; 44,50 ± 69,25; 15,39 ± 69,22 e 54,20 ± 71,58, respectivamente, para 25, 40, 55 e 70% NC. As probabilidades do VPL ≥ 0 foram 76,8%; 76,0%; 57,9% e 78,1%, respectivamente, do menor para maior NC. A análise de DOM demonstrou que 25 e 40% de concentrado apresentam curvas de probabilidade similares; 70% dominou os demais e 55% foi dominado por todos os NC. De acordo com a SENS, os itens que mais influenciaram no VPL foram, em ordem decrescente, os preços do boi gordo e magro, os pesos final e inicial, preços do concentrado e do volumoso, consumo de concentrado, taxa mínima de atratividade e consumo de volumoso. Com base nos resultados de simulação, o NC de 70% apresentou maior VPL e maior probabilidade de viabilidade econômica. A técnica de simulação probabilística demonstrou ser interessante ferramenta para tomada de decisões em projetos de investimento com confinamento de bovinos de corte, sugerindo a expansão de estudos nesta linha de pesquisa.EDUFU2017-05-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3454710.14393/BJ-v33n3-34547Bioscience Journal ; Vol. 33 No. 3 (2017): May/June; 660-669Bioscience Journal ; v. 33 n. 3 (2017): May./June; 660-6691981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/34547/20327Brazil; ContemporaryCopyright (c) 2017 Joilmaro Rodrigo Pereira Rosa, Angelina Camera, Paulo Santana Pacheco, Edom de Avila Fabricio, Daniel Batista Lemeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRosa, Joilmaro Rodrigo PereiraCamera, AngelinaPacheco, Paulo Santana Fabricio, Edom de Avila Lemes, Daniel Batista2022-02-16T00:32:56Zoai:ojs.www.seer.ufu.br:article/34547Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-16T00:32:56Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
Análise de risco da viabilidade econômica do confinamento de novilhos Aberdeen Angus alimentados com diferentes proporções de concentrado
title Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
spellingShingle Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
Rosa, Joilmaro Rodrigo Pereira
Investment analysis
investment project
probabilistic analysis
stochastic method
rank correlation
Agricultural Sciences
title_short Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
title_full Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
title_fullStr Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
title_full_unstemmed Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
title_sort Risk analysis of the economic viability of feedlot aberdeen angus steers fed with different proportions of concentrate
author Rosa, Joilmaro Rodrigo Pereira
author_facet Rosa, Joilmaro Rodrigo Pereira
Camera, Angelina
Pacheco, Paulo Santana
Fabricio, Edom de Avila
Lemes, Daniel Batista
author_role author
author2 Camera, Angelina
Pacheco, Paulo Santana
Fabricio, Edom de Avila
Lemes, Daniel Batista
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rosa, Joilmaro Rodrigo Pereira
Camera, Angelina
Pacheco, Paulo Santana
Fabricio, Edom de Avila
Lemes, Daniel Batista
dc.subject.por.fl_str_mv Investment analysis
investment project
probabilistic analysis
stochastic method
rank correlation
Agricultural Sciences
topic Investment analysis
investment project
probabilistic analysis
stochastic method
rank correlation
Agricultural Sciences
description The economic viability of feedlot Aberdeen Angus steers fed with diets composed of different concentrate levels (CL) in dry matter (25, 40, 55 or 70%) was estimated using Monte Carlo simulation combined with Spearman rank correlation, considering nine random input variables, as well as stochastic dominance (DOM) and sensitivity (SENS) analyses. For the financial indicator simulation, net present value (NPV), cash flow with indicators of performance, and the probability distribution of all cost and income items (from 2003 to 2014) were used. Latin hypercube sampling and a Mersenne Twister random number generator was employed for the simulation, which included 2000 interactions. The expected mean values ± standard deviation for NPV (USD/animal) were 44.94 ± 68.01, 44.50 ± 69.25, 15.39 ± 69.22 and 54.20 ± 71.58 for the diets containing 25, 40, 55 and 70% CL, respectively. The probability of NPV ≥ 0 was 76.8, 76.0, 57.9 and 78.1%, respectively, from the smallest to largest CL. The DOM analysis showed that 25 and 40% CL have similar probability curves, the 70% level dominated the remaining and all CL dominated 55%. According to SENS analysis, the items that most influenced the NPV were, in decreasing order, finished and feeder cattle price, initial and final weights, concentrate and roughage price, concentrate intake, minimum rate of attractiveness and roughage intake. Based on the simulation results, the 70% CL showed a higher NPV and greater likelihood of economic viability. The probabilistic simulation technique is an interesting tool for decision-making in investment projects with beef cattle feedlot, therefore, further studies in this line of research is recommended.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/34547
10.14393/BJ-v33n3-34547
url https://seer.ufu.br/index.php/biosciencejournal/article/view/34547
identifier_str_mv 10.14393/BJ-v33n3-34547
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/34547/20327
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 33 No. 3 (2017): May/June; 660-669
Bioscience Journal ; v. 33 n. 3 (2017): May./June; 660-669
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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