Abstract

The objective of this study was to develop a bio-economic model for the estimation of economic values of economically important traits in a full-cycle beef cattle production system. The bio-economic model calculated economic values by simulating the impact of changes in the profit of the system consisting of a 1% increase in each trait of the breeding objective, while the other traits were kept constant. The bio-economic model was effective in estimating the sources of revenues and expenses of the production system. The estimated economic values were, in the order of importance for the full-cycle system, R$ 3.69 for male slaughter weight, R$ 3.63 for male weaning weight, R$ 3.58 for weaning rate, R$ 3.40 for female slaughter weight, R$ 2.30 for female weaning weight, and R$ 0.13 for mature cow weight. The results showed that all traits evaluated in the full-cycle system had positive economic impact, indicating that selection would increase profitability maximizing the expected response for the traits of the breeding goal.

Highlights

  • The beef cattle industry plays an important role in the production of animal protein and it is desirable to optimize the production system to get greater genetic and monetary results

  • The performance parameters (Table 1) used for model fit were based on the production system of the center region of Brazil and on literature review because bio-economic models require certain information that is not evaluated in many production systems, a fact that can make the bio-economic model fit more difficult

  • According to Campos et al (2014) the bio-economic model evaluated in different studies may not necessarily represent other complete-cycle production systems of beef cattle breed

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Summary

Introduction

The beef cattle industry plays an important role in the production of animal protein and it is desirable to optimize the production system to get greater genetic and monetary results. Animal breeding programs have fundamental role in beef cattle production, increasing the productivity indices, fertility and carcass quality of selected animals (Rotta et al, 2009). In these programs, several traits of economic importance are included in the breeding objective, such as productive and reproductive traits and those related to carcass quality (Ito et al, 2012a; Ito et al, 2012b). Several traits of economic importance are included in the breeding objective, such as productive and reproductive traits and those related to carcass quality (Ito et al, 2012a; Ito et al, 2012b) These traits are weighted empirically, while the most indicated would be to perform these weightings on an economic basis to maximize the return for the production system

Objectives
Methods
Results

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