Influence of MHS genotype and feeding regime on allometric and temporal growth of pigs assessed by magnetic resonance imaging

Kušec, Goran; Baulain, Ulrich; Kallweit, Erhard; Glodek, P.

doi:10.1016/j.livsci.2006.10.007

Cited by 15 publications

(17 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These weights can be regarded as optimum slaughter weights for pigs involved in this experiment in the sense of maximum utilisation of muscle growth potential. Since both groups of pigs reach the same muscle volume of 51 dm 3 at the times mentioned above, the difference in live weights can be attributed to the volume of fat which, according to Kusec et al (2007), is very near to the peak of growth intensity (point of inflection) in the intensive group of pigs. The same authors also stated that the growth patterns of fat tissue volume markedly differed between the two feeding treatments, being more intense in the intensively fed pigs.…”

Section: Muscle Growthmentioning

confidence: 94%

“…Since S-curves for different MHS genotypes within the feeding groups of pigs had very similar patterns (Kusec et al, 2007), the mentioned equations were reconstructed regardless of the genotype as follows:…”

Section: Prediction Of Live Weightsmentioning

confidence: 99%

“…Non-invasive techniques such as computer tomography (CT) and magnetic resonance tomography (MRT) are known to be powerful tools for the estimation of muscle and fat tissue in pigs (Vangen and Jopson, 1996;Kolstad, 2001;Tholen et al, 2003;Baulain et al, 2004;Collewet et al, 2005;Monziols et al, 2006). Kusec et al (2007) used the asymmetric S-function to describe live weight growth patterns of German hybrid pigs, using MRT to determine tissue volumes (muscle and fat) at certain points in time. They found coefficients for constructing the S-curve that could depict the growth pattern of MHS negative (NN) and MHS gene carrier (Nn) pigs from two different feeding regimes.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Optimal slaughter weight of pigs assessed by means of the asymmetric S-curve

Kušec¹,

Kralik²,

Djurkin³

et al. 2008

CZECH J ANIM SCI

Self Cite

View full text Add to dashboard Cite

ABSTRACT:The present study was carried out on 68 barrows equally distributed into two different feeding groups (intensive and restricted). MR tomography was used to obtain data needed for the calculation of optimal slaughter weight. Growth analyses and predictions were performed using an asymmetric S-function. The differences between the predicted and real time needed to achieve 100 kg live weight calculated for the two feeding groups of pigs were not statistically significant. The prediction was fairly accurate in 88% of the cases for the intensive group and 79% of the cases for the restrictively fed pigs. The point of muscle growth saturation (t C = 51.31 dm 3 ) calculated for pigs from the intensive group occurred at 164 days of age. Restrictively fed pigs reached this point after 167 days. It was calculated that at 164 days of age intensively fed pigs reached about 126 kg; the pigs from the restricted group reached about 112 kg at 167 days. These weights can be regarded as optimal slaughter weights for pigs from the present study in the sense of maximum utilisation of muscle growth. Since both groups of pigs reach the same muscle volume of 51 dm 3 at the estimated times, the difference in live weights can be attributed to the volume of fat. This makes the intensive system of feeding undesirable in economical pig production. It is concluded that the obtained parameters of the asymmetric S-function can be used for the growth analysis of other pigs, assuming that they are of the same genetic background and reared in the same conditions. It is suggested that the carcass values of pigs slaughtered at optimum live weights proposed here should be compared with the values of pigs slaughtered at other live weights in order to decide between maximum utilisation of muscle growth or achieving the most desirable lean percentage in carcass.

show abstract

Section: Muscle Growthmentioning

confidence: 94%

Section: Prediction Of Live Weightsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Optimal slaughter weight of pigs assessed by means of the asymmetric S-curve

Kušec¹,

Kralik²,

Djurkin³

et al. 2008

CZECH J ANIM SCI

Self Cite

View full text Add to dashboard Cite

show abstract

“…Different factors such as genotype, sex or feeding regime are typically studied together to optimise the use and potential of these non-invasive technologies. Kusec et al (2007) used MRI to study the effect of the MHS (malignant hyperthermia syndrome) gene on intensive and restrictive feeding and observed significantly higher feed intake, daily gain and feed conversion ratio in pigs maintained under intensive feeding conditions compared with restrictive feeding regime. The growth of muscle tissue in pigs was not influenced by the feeding regime.…”

Section: Nutrition: Evaluation Of the Effect Of Diet By Image Analysismentioning

confidence: 99%

Imaging technologies to study the composition of live pigs: A review

Carabús¹,

Gispert²,

Font-i-Furnols³

2016

Span. j. agric. res.

View full text Add to dashboard Cite

Image techniques are increasingly being applied to livestock animals. This paper overviews recent advances in image processing analysis for live pigs, including ultrasound, visual image analysis by monitoring, dual-energy X-ray absorptiometry, magnetic resonance imaging and computed tomography. The methodology for live pigs evaluation, advantages and disadvantages of different devices, the variables and measurements analysed, the predictions obtained using these measurements and their accuracy are discussed in the present paper. Utilities of these technologies for livestock purposes are also reviewed. Computed tomography and magnetic resonance imaging yield useful results for the estimation of the amount of fat and lean mass either in live pigs or in carcasses. Ultrasound is not sufficiently accurate when high precision in estimating pig body composition is necessary but can provide useful information in agriculture to classify pigs for breeding purposes or before slaughter. Improvements in factors, such as the speed of scanning, cost and image accuracy and processing, would advance the application of image processing technologies in livestock animals.

show abstract

“…The basic principle of this method relies on the properties of atomic nuclei with an odd number of protons or neutrons (or both), which absorb and reemit radio waves when placed in a powerful magnetic field (Baulain, 1997). MRT is frequently applied to determine the body composition of pigs at their particular live weights (Baulain, 1997;Kastelic, 1997;Mitchell et al, 2001;Berg et al, 2002;Kušec et al, 2006). Their studies proved that MRT offered numerous possibilities for an in vivo noninvasive analysis of the body composition of pigs, being based on volumetric measurements of specific tissues and organs, with the aim to predict the composition of total fat and muscles as well as their growth.…”

mentioning

confidence: 99%

Lean and fat development in the whole body and hams of hybrid pigs studied by magnetic resonance tomography

Margeta¹,

Kralik²,

Kušec³

et al. 2007

CZECH J ANIM SCI

Self Cite

View full text Add to dashboard Cite

ABSTRACT:The aim of this study was to determine the influence of MHS-genotype and feeding regime on the growth and development of muscle and fatty tissue in the whole body as well as in hams of hybrid pigs. The experiment was carried out on 72 barrows that were divided into 4 groups regarding the MHS-genotype (NN and Nn) and feeding regime (standard and intensive). Data necessary to determine the volume of examined tissues were obtained by means of magnetic resonance tomography. During the fattening period there were no statistically significant differences between pig groups with respect to total lean content of the body although the feeding regime effect in the finishing fattening phase was on the margin of statistical significance (P = 0.057). Differences between investigated groups with respect to the lean content in hams were not significant either. Results of this research lead to a conclusion that different feeding regimes and MHS genetic status of pigs do not have a significant influence on the growth of muscle and fatty tissue in hams.

show abstract

Influence of MHS genotype and feeding regime on allometric and temporal growth of pigs assessed by magnetic resonance imaging

Cited by 15 publications

References 27 publications

Optimal slaughter weight of pigs assessed by means of the asymmetric S-curve

Optimal slaughter weight of pigs assessed by means of the asymmetric S-curve

Imaging technologies to study the composition of live pigs: A review

Lean and fat development in the whole body and hams of hybrid pigs studied by magnetic resonance tomography

Contact Info

Product

Resources

About