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

Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography.

Journal of animal science - 1 Mar 2015

Carabús A, Sainz R D, Oltjen J W, Gispert M, Font-i-Furnols M

Abstract excerpt

The aim of the present study was to find single equations to predict the amounts of fat, lean, and the weights of the primal cuts (ham, loin, belly, and shoulder) as well as ham composition of pigs from 30 to 120 kg BW of different genotypes (GEN; Exp. 1) and sexual conditions (SEX; Exp. 2). Two types of regression equations, taking into account different work situations, were developed: 1) research applications,...

Read the complete abstract on PubMed

Topics

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

Share to Adipose Tissue
Share to Body Composition

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Body Weight

Share to Muscle, Skeletal

Share to Sex Factors

Share to Tomography, X-Ray Computed

Source

Identifiers

PMID: 26020915
DOI: 10.2527/jas.2014-8697

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography.PMID 26020915Read ↗

Estimation of carcass composition and cut composition from computed tomography images of live growing pigs of different genotypes.Semantic proximity Read ↗

Intramuscular fat content in different muscles, locations, weights and genotype-sexes and its prediction in live pigs with computed tomography.Semantic proximity Read ↗

A high-throughput study of visceral organs in CT-scanned pigs.Semantic proximity Read ↗

Accuracy of predicting chemical body composition of growing pigs using dual-energy X-ray absorptiometrySemantic proximity Read ↗

Influence of slaughter weight on growth and carcass characteristics, commercial cutting and curing yields, and meat quality of barrows and gilts from two genotypes.Semantic proximity Read ↗

Non-destructive evaluation of carcass and ham traits and meat quality assessment applied to early and late immunocastrated Iberian pigs.Semantic proximity Read ↗

Accurate assessment of body weights using morphometric measurements in Landlly pigs.Semantic proximity Read ↗

Effect of hot carcass weight on loin, ham, and belly quality from pigs sourced from a commercial processing facility,.Semantic proximity Read ↗

Effect of sex and final fattening on ultrasound and carcass traits in Iberian pigs.Semantic proximity Read ↗

Phenotypic prediction based on metabolomic data for growing pigs from three main European breeds.Semantic proximity Read ↗

Production and meat quality traits of genetically lean immunocastrated pigs naturally divergent for loin tenderness.Semantic proximity Read ↗

Effects of low protein diets on pigs with a lean genotype 2. Compositional traits measured with computed tomography (CT).Semantic proximity Read ↗

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