Metanalysis Economical-Financial Performance of the Production of Milk and Goats on Systems of Family Farming

Olivan Cunha de Almeida, Ricardo Alves de Araújo, Luiza de Nazaré Carneiro da Silva, Edmilson Igor Bernardo Almeida, Khalil de Menezes Rodrigues, Clésio dos Santos Costa, Ivone Rodrigues da Silva, Felipe Araújo Oliveira da Silva, Diego de Almeida Veras, Maurivan Barbosa Pacheco, Vanessa Brito Barroso

Abstract


This study aimed to evaluate the economic and financial viability of the creation of dairy goats of Saanen breed and Anglo Nubian in system of family farming. The information of the technical parameters for financial analysis of this research were obtained in manuscripts the published in the last ten years in national journals. In face of these data was conducted a meta-analysis of data which generated the zootechnical date used for the simulations in this work. The simulation for milk production and calves from 72 dairy goats provided revenue above the cost of production, resulting in positive economic indicators for both scenarios assessed. The revenue generated by the systems that utilize the Saanen goats are bigger, considering that the production is greater. The financial analysis of systems proved to be viable over 8 years. In relation to the payback, both presented low return on investment applied. Sensitivity analyzes showed that in both systems evaluated, only in the most unfavorable situations, such as a reduction of 30% in both production and market price, the indicators of economic performance are not attractive, given that the time of return on investment is too long, especially in the rearing of goats Anglo Nubian. From the practical point of view, it is recommended the creation of both breeds, because the cost of deployment of the system can be purchased via funding.


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DOI: https://doi.org/10.5296/jas.v8i4.17304

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Copyright (c) 2020 Olivan Cunha de Almeida, Ricardo Alves de Araújo, Luiza de Nazaré Carneiro da Silva, Edmilson Igor Bernardo Almeida, Khalil de Menezes Rodrigues, Clésio dos Santos Costa, Ivone Rodrigues da Silva, Felipe Araújo Oliveira da Silva, Diego de Almeida Veras, Maurivan Barbosa Pacheco, Vanessa Brito Barroso

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Journal of Agricultural Studies   ISSN 2166-0379

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