In vivo computed tomography evaluation of the composition of the carcass and main cuts of growing pigs of three commercial crossbreeds

Carabús, Anna; Gispert, M.; Brun, A.; Rodríguez, P.; Font-i-Furnols, Maria

doi:10.1016/j.livsci.2014.10.005

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…Crosses that do not include Pietrain (LL-F and LL-F) presented in general a lower weight of the muscles, especially at higher TBW. This is in agreement with the work of Fisher et al (2003) and Carabús et al (2014) where the ham muscles of several genetic types were studied. This makes sense since Pietrain is a highly conformed breed, whose carcasses have higher ham weight, ham lean content and loin lean content, although not loin weight (Gispert et al, 2007).…”

Section: Discussionsupporting

confidence: 92%

“…Thus, it seems that the growth of these muscles, at higher weights, is higher in the present work, probably due to differences in the genotypes used. Moreover, the allometric coefficients for ham (0.89-0.95) and loin (0.97) muscle weight with respect to the live weight of the pig were close to one in agreement with previous works that reported allometric coefficients between 0.87 and 1.13 for ham muscle and 1.01 and 1.03 for loin muscle (Carabús et al, 2014, Carabús et al, 2017.…”

Section: Discussionsupporting

confidence: 91%

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

Font-i-Furnols

Brun

Gispert

2019

Animal

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Intramuscular fat (IMF) content depends on sex, genotype and diet and varies with pig growth. The aim of the present work was to determine the evolution of IMF by genotype-sex, muscle and muscle location, to determine relationships between IMF content of different muscles and to predict IMF in live pigs with computed tomography (CT). For this purpose, 155 pigs of seven combinations of genotype-sex were CT scanned and slaughtered at 70, 100 and 120 kg. From the carcasses, fat thickness was measured at several locations along the midline. Loin samples from three anatomical positions (between the eighth and ninth last ribs, between the third and fourth last ribs and between the third and fourth lumbar vertebrae) and three ham muscles (biceps femoris, semimembranosus and gluteus medius) were extracted, weighed and IMF was determined with near-IR equipment. From CT images, the distribution of volume by Hounsfield value (unit related with the density) was obtained for each muscle and anatomical location. Marbling was evaluated in the three loin locations. The effects of genotype-sex and live weight and their interaction were included in the statistical model. For prediction of IMF with CT images, partial least square regression was used. The results show differences in IMF content by genotype-sex and muscle. In general, the most cranial part of the loin presented higher IMF content, as well as the biceps femoris muscle of the ham. Depending on the genotype-sex, IMF content increased during all growth or increased until 100 kg and then became constant. Correlation coefficients between IMF content by muscle/location were between 0.74 and 0.83 within loin locations and between 0.53 and 0.70 for ham muscles. Correlation coefficients between marbling and IMF content evaluated at the same location varied between 0.51 and 0.66. Prediction of IMF content from CT images is not accurate enough (residual predictive deviation statistical values lower than 1.3). Muscle weight increase with animal growth and allometric coefficients varied between 0.89 and 0.97 for the muscles evaluated. The conclusions of the present work are that IMF content differs between and within muscle, during growth and by genotype-sex and that prediction of IMF in CT images of live pigs is not accurate.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

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

Font-i-Furnols

Brun

Gispert

2019

Animal

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“…Measurements similar to the ones used by Carabús et al (2014) were obtained manually from different tomograms, and are graphically visualised in Figure 1. More detailed information about the measures can be found in Supplementary Table S1.…”

Section: Animals and Experimental Designmentioning

confidence: 99%

Growth of total fat and lean and of primal cuts is affected by the sex type

Carabús

Sainz

Oltjen

et al. 2017

Animal

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Knowledge of tissue and cuts growth depending on the sex could be used to improve performance and efficiency. Computed tomography (CT) is a non-invasive technology that enables the study of the body composition of live animals during growth. The aims of the present study were (1) to evaluate variation in the body composition of four sex types (SEX) of pigs (castrated males (CM), immunocastrated males (IM), entire males (EM) and females (FE)) at the live weight of 30, 70, 100 and 120 kg, assessed using CT; (2) to model the growth of the main tissues and cuts; and (3) to predict the mature BW (MBW) of the four SEX and establish the relationships between the growth models and the MBW. There were significant phenotypic differences in the allometric growth of fat and lean among SEX. For the lean tissue, FE and EM showed higher values of the b coefficient than CM and IM (1.07 and 1.07 v. 1.00 and 1.02, respectively) all of them close to unity, indicating a proportional growth rate similar to live weight and that this tissue developed faster in FE and EM than in CM and IM. However, these differences were not related to differences in estimated MBW. There were significant differences in estimated MBW among SEX, being higher in IM and EM than in CM and FE (303 and 247 v. 219 and 216 kg), however, the MBW may have been overestimated, especially for the IM. The poorer accuracy of the MBW estimate for the IM could be due to a maximum live weight of 120 kg in the experiment, or to the fact that this particular SEX presented two clear behaviours, being more similar to EM from birth to the second injection of the vaccine (130 days) and comparable with CM from that point to the final BW.

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“…The segmentation method should be simple and/ or well automated. Some methods using different measurements as muscle or fat thicknesses, perimeters and areas (Jones et al, 2002;Lambe et al, 2013;Carabús et al, 2014;Matics et al, 2014;Fonti-Furnols et al, 2015) on the scans. These results were obtained semi-automatically or manually.…”

Section: Discussionmentioning

confidence: 99%

Automated Estimation of Loin Muscle Mass in Living Rabbits Using Computed Tomography

Matics

Kovács²,

Csóka³

et al. 2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The objective of this study was to present the updated segmentation technique predicting the loin muscle weight of rabbits based on in vivo computed tomography measurements. The segmented muscle volumes are used to estimate the weight of the loin muscle and the predicted weights are compared to the real weights of meat cuts measured after the dissection of the animals. The R2 value of the proposed technique is 0.74 which is significantly better than the determination coeﬃcients than that of the of the previously used method (R2 0.49). The proposed technique is suitable to be involved in the breeding selection program of rabbits (Pannon White) at Kaposvár University, Hungary.

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In vivo computed tomography evaluation of the composition of the carcass and main cuts of growing pigs of three commercial crossbreeds

Cited by 14 publications

References 26 publications

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

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

Growth of total fat and lean and of primal cuts is affected by the sex type

Automated Estimation of Loin Muscle Mass in Living Rabbits Using Computed Tomography

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