Bio-economic Model Predicts Economic Values for Beef Production

Abstract

Objective Objective: The objective was to estimate economic values for production traits in a full life cycle system using a bio-economic model with Angus purebred and a terminal crossbreeding system with Nelore sires mated to Angus dams. Study Description Study Description: Phenotypic performance data were collected from the Bifequali crossbreeding scheme at the Embrapa Pecuária Sul Research Center of the Brazilian Agricultural Research Corporation. The data consisted of performance and carcass traits measured on progeny of Angus purebred and Nelore sires mated to Angus dams raised in a pasture-based production system from birth to slaughter (full life cycle). The economic characterization of the system was based on fixed costs and variable costs. The bioeconomic was developed in 'R' programming language using the phenotypic information and the production costs. To estimate economic values, the bio-economic model was first parameterized and a base profit was calculated. The Bottom Line The Bottom Line: The use of crossbreed animals provides an effective tool to improve important traits and system level profitability in a full life cycle beef production system.

Body mass index at calving on performance and efficiency of Zebu cow herds

“…The growing demand for beef has driven producers to aim at increased productivity rates, since the prices paid for the meat product are breaking records, according to the United States Department of Agriculture [USDA] (2020). Increasing herd productivity rates entails choosing animals that better adapt to production systems and are thus more efficient and productive (Burrow, 2010;Carvalheiro et al, 2019;Leal et al, 2018).…”

Integrating the RFID identification system for Charolaise breeding bulls with 3D imaging for virtual archive creation

“…In view of this aspect, the very accurate selection of breeding bulls and cows by the farmer is carried out to optimise production performance, which represents the main economic driver of beef cattle herds. In light of recent research conducted worldwide and of the ever more sophisticated genomic techniques, the latest achievements by genetic investigations on beef cattle (Burrow & Dillon, 1997;Voisinet et al, 1997;Gibb et al, 1998;Sowell et al, 1998;Burrow & Corbet, 2000;Schwartzkopf-Genswein, Atwood & McAllister, 2003;Robinson & Oddy, 2004;Nkrumah et al, 2007;Moore, Mrode & Coffey, 2017Su et al, 2017Leal et al, 2018;Fonseca et al, 2018;Soulat et al, 2018) outline the need to obtain very specialized morphological lines of animals, with typical body measurements and breed conformation.…”

“…The economic value of the breeding bull is strongly influenced by the morphological evaluation carried out in regional and national fairs for livestock, in which animals are scored by breed experts. As recently evaluated in a bio-economic model by Leal et al (2018), the dressing percentage, associated with carcass weight at slaughter and relative yield, in Angus cattle is that with the largest economic value within herd productions. This concept may be applied to all beef cattle breeds.…”

Peer Review #3 of "Integrating the RFID identification system for Charolaise breeding bulls with 3D imaging for virtual archive creation (v0.1)"

“…Manuscript to be reviewed Computer Science optimise production performance, which represents the main economic driver of beef cattle herds. In light of recent research conducted worldwide and of the ever more sophisticated genomic techniques, the latest achievements by genetic investigations on beef cattle (Burrow and Dillon 1997;Voisinet et al, 1997;Gibb et al, 1998;Sowell et al 1998;Burrow and Corbet, 2000;Schwartzkopf -Genswein et al, 2003;Robbinson and Oddy 2004;Nkrumah et al, 2007;Moore et al, 2017;Su et al, 2017;Leal et al, 2018;de Souza Fonseca et al, 2018;Soulat e al., 2018;) outline the need to obtain very specialized morphological lines of animals, with typical body measurements and breed conformation.…”