Literature DB >> 22061736

Association between body composition of growing pigs determined by magnetic resonance imaging, deuterium dilution technique, and chemical analysis.

M Mohrmann1, R Roehe, A Susenbeth, U Baulain, P W Knap, H Looft, G S Plastow, E Kalm.   

Abstract

Development of body composition of 440 growing pigs from a three generation full-sib design to identify quantitative trait loci (QTL) was determined by three different methods. Firstly, the non-invasive method deuterium dilution technique (DT), was applied to all pigs in the experiment at six weights 20, 30, 60, 90, 120 and 140kg. Secondly, at each weight class, eight pigs were slaughtered and their entire body chemically analysed (CA). Thirdly, magnetic resonance imaging (MRI) was applied on 16 live pigs at different weights. For the entire empty body (without content of the gastrointestinal tract and bladder), allometric prediction equations to predict body composition from empty body water content measured by DT were derived from chemically analysed serial slaughtered pigs. These equations showed high correlations of 0.92, 0.90 and 0.85 for the contents of body water, fat-free substance as well as protein in fat-free substance, respectively. For the soft tissue (empty body without bones and viscera), allometric prediction equation of body composition based on DT and CA showed correlations of 0.91, 0.88 and 0.82 for water content, fat-free substance, and protein content of fat free substance, respectively. Fat tissue content, fat tissue mass, and lean tissue mass measured by MRI showed allometric relationships to lipid content, lipid mass, and protein mass determined by DT with correlations of 0.98, 0.87, and 0.98, respectively. Lean (measured by MRI) and protein (determined by DT) content of soft tissue was best fitted by a linear-quadratic polynomial and resulted in a correlation of 0.86. Allometric coefficients for change of percentages of chemical components, water (b=-0.036) and protein (b=0.106) in fat-free substance of empty body during growth were similar to those in the literature indicating the consistency of accretion rates of chemical components of the fat-free substance in different studies. Means for protein- and lipid-deposition rates (determined by DT) as well as lean tissue- and fat tissue-deposition rates (measured by MRI) ranged from 95 to 154, 147 to 328, 373 to 420 and 129 to 254g in the different weight ranges. Variation between animals in protein (lean tissue) and lipid (fat tissue) deposition rate was large which can be exploited in order to identify QTL of these traits.

Entities:  

Year:  2005        PMID: 22061736     DOI: 10.1016/j.meatsci.2005.08.020

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  6 in total

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Authors:  Kyung-Tai Lee; Mi-Jeong Byun; Kyung-Soo Kang; Eung-Woo Park; Seung-Hwan Lee; Seoae Cho; Hyoyoung Kim; Kyu-Won Kim; Taeheon Lee; Jong-Eun Park; Woncheoul Park; Donghyun Shin; Hong-Seog Park; Jin-Tae Jeon; Bong-Hwan Choi; Gul-Won Jang; Sang-Haeng Choi; Dae-Won Kim; Dajeong Lim; Hae-Suk Park; Mi-Rim Park; Jurg Ott; Lawrence B Schook; Tae-Hun Kim; Heebal Kim
Journal:  PLoS One       Date:  2011-02-02       Impact factor: 3.240

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Authors:  Hamed Ebrahimnejad; Hadi Ebrahimnejad; A Salajegheh; H Barghi
Journal:  J Biomed Phys Eng       Date:  2018-03-01

4.  Phenotyping for Genetic Improvement of Feed Efficiency in Fish: Lessons From Pig Breeding.

Authors:  Pieter W Knap; Antti Kause
Journal:  Front Genet       Date:  2018-05-24       Impact factor: 4.599

5.  Genomic scan for quantitative trait loci of chemical and physical body composition and deposition on pig chromosome X including the pseudoautosomal region of males.

Authors:  Carol-Anne Duthie; Geoff Simm; Miguel Pérez-Enciso; Andrea Doeschl-Wilson; Ernst Kalm; Pieter W Knap; Rainer Roehe
Journal:  Genet Sel Evol       Date:  2009-03-11       Impact factor: 4.297

6.  Investigating the potential for genetic improvement of nitrogen and phosphorus efficiency in a Swiss large white pig population using chemical analysis.

Authors:  Claudia Kasper; Isabel Ruiz-Ascacibar; Peter Stoll; Giuseppe Bee
Journal:  J Anim Breed Genet       Date:  2020-03-20       Impact factor: 2.380

  6 in total

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