Performance and financial efficiency of three dairy production systems in southern Brazil

Background: Factors such as herd composition, productivity, milk quality and technology level influence the costs and profitability of milk production. Objective: To evaluate indicators that could predict production performance and financial efficiency in three dairy production systems in southern B...

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Autores principales: Raquel S. Schiavon, Mário D. Canever, Arnaldo D. Vieira, Vanessa Peripolli, Maila Palmeira, Hernani A. Silva, Elizabeth Schwegler, Thomaz Lucia Jr., Ivan Bianchi
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Publicado: Universidad de Antioquia 2020
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spelling oai:doaj.org-article:6ecbd598026d4118b97002f75d99fd462021-12-01T15:14:35ZPerformance and financial efficiency of three dairy production systems in southern Brazil2256-295810.17533/udea.rccp.v34n1a01https://doaj.org/article/6ecbd598026d4118b97002f75d99fd462020-06-01T00:00:00Zhttps://revistas.udea.edu.co/index.php/rccp/article/view/342379https://doaj.org/toc/2256-2958Background: Factors such as herd composition, productivity, milk quality and technology level influence the costs and profitability of milk production. Objective: To evaluate indicators that could predict production performance and financial efficiency in three dairy production systems in southern Brazil. Methods: Monthly records of milk quality, production performance and costs from fifty dairy farms were collected. The farms were classified into grazing, semi-feedlot, or feedlot systems. Total revenues, effective operational cost, total operational cost, total cost, gross margin, net income, total cost leveling point, profitability and final milk price were calculated. Results: The feedlot system resulted in greater herd size and milk production per lactating cow (p<0.05), but greater variable costs compared to semi-feedlot and grazing systems. On the other hand, the grazing system achieved greater profitability per year. Factor II (fat and protein rates), and Factor III (herd size and productivity per area) were associated with milk price per liter paid to the farmer (p<0.05), together accounting for approximately 13% of this price. Conclusion: Dairy production systems are influenced by area, lactating cows, productive performance, productivity per area, milk quality, and use of artificial insemination as well as supplementation (concentrate and minerals). Nearly 13% of milk price can be attributed to its fat and protein content as well as herd size and productivity per area.Raquel S. SchiavonMário D. CaneverArnaldo D. VieiraVanessa PeripolliMaila PalmeiraHernani A. SilvaElizabeth SchweglerThomaz Lucia Jr.Ivan BianchiUniversidad de Antioquiaarticlecattle productivitydairy cattledairy productionfinancial managementincomemilk qualityproduction costsprofitabilitytechnology adoptionAnimal cultureSF1-1100ENRevista Colombiana de Ciencias Pecuarias, Vol 34, Iss 1, Pp 5-17 (2020)
institution DOAJ
collection DOAJ
language EN
topic cattle productivity
dairy cattle
dairy production
financial management
income
milk quality
production costs
profitability
technology adoption
Animal culture
SF1-1100
spellingShingle cattle productivity
dairy cattle
dairy production
financial management
income
milk quality
production costs
profitability
technology adoption
Animal culture
SF1-1100
Raquel S. Schiavon
Mário D. Canever
Arnaldo D. Vieira
Vanessa Peripolli
Maila Palmeira
Hernani A. Silva
Elizabeth Schwegler
Thomaz Lucia Jr.
Ivan Bianchi
Performance and financial efficiency of three dairy production systems in southern Brazil
description Background: Factors such as herd composition, productivity, milk quality and technology level influence the costs and profitability of milk production. Objective: To evaluate indicators that could predict production performance and financial efficiency in three dairy production systems in southern Brazil. Methods: Monthly records of milk quality, production performance and costs from fifty dairy farms were collected. The farms were classified into grazing, semi-feedlot, or feedlot systems. Total revenues, effective operational cost, total operational cost, total cost, gross margin, net income, total cost leveling point, profitability and final milk price were calculated. Results: The feedlot system resulted in greater herd size and milk production per lactating cow (p<0.05), but greater variable costs compared to semi-feedlot and grazing systems. On the other hand, the grazing system achieved greater profitability per year. Factor II (fat and protein rates), and Factor III (herd size and productivity per area) were associated with milk price per liter paid to the farmer (p<0.05), together accounting for approximately 13% of this price. Conclusion: Dairy production systems are influenced by area, lactating cows, productive performance, productivity per area, milk quality, and use of artificial insemination as well as supplementation (concentrate and minerals). Nearly 13% of milk price can be attributed to its fat and protein content as well as herd size and productivity per area.
format article
author Raquel S. Schiavon
Mário D. Canever
Arnaldo D. Vieira
Vanessa Peripolli
Maila Palmeira
Hernani A. Silva
Elizabeth Schwegler
Thomaz Lucia Jr.
Ivan Bianchi
author_facet Raquel S. Schiavon
Mário D. Canever
Arnaldo D. Vieira
Vanessa Peripolli
Maila Palmeira
Hernani A. Silva
Elizabeth Schwegler
Thomaz Lucia Jr.
Ivan Bianchi
author_sort Raquel S. Schiavon
title Performance and financial efficiency of three dairy production systems in southern Brazil
title_short Performance and financial efficiency of three dairy production systems in southern Brazil
title_full Performance and financial efficiency of three dairy production systems in southern Brazil
title_fullStr Performance and financial efficiency of three dairy production systems in southern Brazil
title_full_unstemmed Performance and financial efficiency of three dairy production systems in southern Brazil
title_sort performance and financial efficiency of three dairy production systems in southern brazil
publisher Universidad de Antioquia
publishDate 2020
url https://doaj.org/article/6ecbd598026d4118b97002f75d99fd46
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AT vanessaperipolli performanceandfinancialefficiencyofthreedairyproductionsystemsinsouthernbrazil
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AT hernaniasilva performanceandfinancialefficiencyofthreedairyproductionsystemsinsouthernbrazil
AT elizabethschwegler performanceandfinancialefficiencyofthreedairyproductionsystemsinsouthernbrazil
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