Economic analysis of different pregnancy rates in dairy herds under intensive management

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Julia Alejandra Rios Mohar
Carlos A. López Díaz
Joel Hernández Cerón
Rafael Trueta Santiago

Resumen

Pregnancy rate (PR) is the most complete reproductive parameter, which indicates the total pregnancy proportion of cows that are eligible for insemination during an equivalent period of one estrous cycle. In international scientific literature there are several analyses concerning PR change effects on the profitability of dairy herds. However, in Mexico such information does not exist. In the present study, the economic consequence of PR changes in a dairy herd under intensive management was calculated. A mathematical model based on the Monte Carlo simulation model, which simulates herd performance and estimates utility using different pregnancy rates (between 15 and 30) was developed. The simulation was done using a fixed conception percentage of 30, so the increment in pregnancy rate only depended on the efficiency of estrus detection (EED) increase. In all the generated model scenarios, PR increase had a positive effect on the annual cow income per year; however, the extra income had a quadratic trend with a revenue decline, when PR reached 20%. So for every percentage point, where PR was increased from a 15 to 20%, an additional cow income of US$ 60.7 per year was generated. Furthermore, the additional income for every percentage point, when the PR was increased from 20 to 25% was US$31.26; and US$10.23, when the increase was from 25 to 30%. We can conclude that any changes in herd management in order to increase the EED and thereby the PR should have lower costs in comparison with the expected benefits; otherwise they will diminish their usefulness.

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Biografía del autor/a

Julia Alejandra Rios Mohar, Facultad de Medicina Veterinaria y Zootecnia, UNAM

Departamento de Economía, Administración y Desarrollo Rural