Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Application of a computer model to predict optimum slaughter end points for different biological types of feeder cattle.

Journal of animal science - 1 Oct 1995

Williams C B, Bennett G L

Abstract excerpt

A bioeconomic model was developed to predict slaughter end points of different genotypes of feeder cattle, where profit/rotation and profit/day were maximized. Growth, feed intake, and carcass weight and composition were simulated for 17 biological types of steers. Distribution of carcass weight and proportion in four USDA quality and five USDA yield grades were obtained from predicted carcass weights and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Animal Husbandry
Share to Breeding
Share to Cattle

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Computer Simulation

Share to Genotype

Share to Models, Biological

Share to United States

Source

Identifiers

PMID: 8617660
DOI: 10.2527/1995.73102903x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of a computer model to predict optimum slaughter end points for different biological types of feeder cattle.PMID 8617660Read ↗

A bioeconomic model for comparing beef cattle genotypes at their optimal economic slaughter end point.Semantic proximity Read ↗

Integrating Genomics with Nutrition Models to Improve the Prediction of Cattle Performance and Carcass Composition under Feedlot Conditions.Semantic proximity Read ↗

Influence of production circumstances and economic evaluation criteria on economic comparison of breeds and breed crosses.Semantic proximity Read ↗

Genetic differences based on a beef terminal index are reflected in future phenotypic performance differences in commercial beef cattle.Semantic proximity Read ↗

Selection for carcass and feedlot traits considering alternative slaughter end points and optimized management.Semantic proximity Read ↗

Formulation of a decision support tool incorporating both genetic and non-genetic effects to rank young growing cattle on expected market value.Semantic proximity Read ↗

Biases associated with genotype and sex in prediction of fat-free lean mass and carcass value in hogs.Semantic proximity Read ↗

Economic selection index development for Beefmaster cattle I: Terminal breeding objective.Semantic proximity Read ↗

Defining the breeding goal for a sheep breed including production and functional traits using market data.Semantic proximity Read ↗

The achievement of a given carcass specification is under moderate genetic control in cattle.Semantic proximity Read ↗

Using simulation models to predict feed intake: phenotypic and genetic relationships between observed and predicted values in cattle.Semantic proximity Read ↗

Economic selection indexes for Hereford and Braford cattle raised in southern Brazil.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.