Genetic parameters for lean meat yield, meat quality, reproduction and feed efficiency traits for Australian pigs

Hermesch, Susanne; Luxford, B G; Graser, H. U.

doi:10.1016/s0301-6226(00)00150-0

Cited by 83 publications

(37 citation statements)

References 17 publications

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“…The heritabilities estimated for IMF were in good agreement with previously reported estimates published by Hovenier et al (1992), de Vries et al (1994 and Suzuki et al (2005), who used chemical analyses, and Hermesch et al (2000a) and Kadarmideen et al (2004), who used NIR for the IMF measurements, as in this study. In addition, heritabilities estimated for marbling were lower in two studies using marbling as a method for measuring IMF (Sonesson et al, 1998;van Wijk et al, 2005).…”

Section: Heritabilitiessupporting

confidence: 91%

“…Our results are in agreement with heritability estimates for drip loss published by Hovenier et al (1992), who used a filter paper method, and also with those of de Vries et al (1994) and Hermesch et al (2000a), who both used a bag method. Lower heritability estimates were found by Suzuki et al (2005), who used loin chops hanging from a wire in specimen cases, and by van Wijk et al (2005), who used a method similar to the EZ-DripLoss method.…”

Section: Heritabilitiessupporting

confidence: 91%

“…The Duroc estimate was similar to the highest values reported in earlier studies (Hermesch et al, 2000a;Suzuki et al, 2005;van Wijk et al, 2005), while the Landrace estimate was much higher. Common to the study reporting the highest heritability (Hermesch et al, 2000a) and our study was a fixed effect for all the animals tested at the same time, which had a large effect on the heritability estimate in our study (in spite of good routines for calibration). The estimated heritabilities for the a* and b* values in LD were moderately high, between the estimates of Sonesson et al (1998) andvan Wijk et al (2005).…”

Section: Heritabilitiessupporting

confidence: 87%

“…For pH measurements in different muscles, the estimated heritabilities ranged from low to moderately high. Heritability estimates for ultimate pH in LD in the literature were also low (Hermesch et al, 2000a;Kadarmideen et al, 2004;van Wijk et al, 2005). These literature estimates were for Landrace and Large White and compare, as expected, better than our estimates for Landrace than for Duroc.…”

Section: Heritabilitiessupporting

confidence: 82%

“…A negative genetic correlation between lightness and IMF was reported by Hovenier et al (1992), and positive genetic correlations were reported by Hermesch et al (2000b) and Suzuki et al (2005). Suzuki et al (2005) studied a Duroc population with a high level of IMF (4.25%), and found that meat with higher IMF was lighter in colour.…”

Section: Heritabilitiesmentioning

confidence: 95%

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Genetic parameters of meat quality traits in two pig breeds measured by rapid methods

Gjerlaug-Enger

Aass

Ødegård

et al. 2010

Animal

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To study genetic variation in meat quality traits measured by rapid methods, data were recorded between 2005 and 2008 on samples of M. longissimus dorsi (LD) in Landrace (n 5 3838) and Duroc (n 5 2250) pigs included in the Norwegian pig breeding scheme. In addition, ultimate pH levels in the glycolytic LD (loin muscle) and M. gluteus medius (GM, ham muscle), and in the oxidative m. gluteus profundus (GP, ham muscle) were recorded as an extended data set (n 5 16 732 and n 5 7456 for Landrace and Duroc, respectively) from 1998 to 2008. Data were analysed with a multi-trait animal model using AI-REML methodology. Meat from Duroc had considerably more intramuscular fat (IMF), less moisture and protein, appeared darker with higher colour intensity and had lower drip loss than meat from Landrace. The heritability estimates (s. in LD all demonstrated moderate-to-high genetic variation for these traits in both breeds. Near infrared spectroscopy and EZ-DripLoss are modern technologies used in this study for the determination of chemical components and drip loss in meat. These methods gave higher heritabilities than more traditional methods used to measure these traits. The estimated genetic correlations between moisture and IMF in Duroc, and pH and drip loss in Duroc were both 20.89. Interesting differences between the two breeds in numerical value of some genetic correlations were observed, probably reflecting the differences in physiology and selection history between Landrace and Duroc. The estimated genetic correlation between drip loss and pH was much stronger in Duroc than in Landrace (20.89 and 20.63, respectively). This might be due to the high pH in Duroc, whereas Landrace had a lower pH closer to the iso-electric point for muscle proteins. The positive genetic correlation between the L* value in meat and IMF in Duroc (0.50) was an effect of differences in visible marbling, rather than meat colour. For Landrace, this correlation was negative (20.20). IMF content showed favourable genetic correlations to drip loss (20.36 and 20.35 for Landrace and Duroc, respectively).

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Section: Heritabilitiessupporting

confidence: 91%

Section: Heritabilitiessupporting

confidence: 91%

Section: Heritabilitiessupporting

confidence: 87%

Section: Heritabilitiessupporting

confidence: 82%

Section: Heritabilitiesmentioning

confidence: 95%

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Genetic parameters of meat quality traits in two pig breeds measured by rapid methods

Gjerlaug-Enger

Aass

Ødegård

et al. 2010

Animal

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Genetics of fat tissue accumulation in pigs: a comparative approach

et al. 2010

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Fatness traits are important in pig production since they influence meat quality and fattening efficiency. On the other hand, excessive fat accumulation in humans has become a serious health problem due to worldwide spread of obesity. Since the pig is also considered as an animal model for numerous human diseases, including obesity and metabolic syndrome, comparative genomic studies may bring new insights into genetics of fatness/obesity. Input of genetic factors into phenotypic variability of these traits is rather high and the heritability coefficient (h(2)) of these traits oscillates around 0.5. Genome scanning revealed the presence of more than 500 QTLs for fatness in the pig genome. In addition to QTL studies, many candidate gene polymorphisms have been analyzed in terms of their associations with pig fatness, including genes encoding leptin (LEP) and its receptor (LEPR), insulin-like growth factor 2 (IGF-2), fatty acid-binding proteins (FABP3 and FABP4), melanocortin receptor type 4 (MC4R), and the FTO (fat mass and obesity-associated) gene. Among them, a confirmed effect on pig fatness was found for a well-known polymorphism of the IGF-2 gene. In humans the strongest association with predisposition to obesity was shown for polymorphism of the FTO gene, while in pigs such an association seems to be doubtful. The development of functional genomics has revealed a large number of genes whose expression is associated with fat accumulation and lipid metabolism, so far not studied extensively in terms of the association of their polymorphism with pig fatness. Recently, epigenomic mechanisms, mainly RNA interference, have been considered as a potential source of information on genetic input into the fat accumulation process. The rather limited progress in studies focused on the identification of gene polymorphism related with fatness traits shows that their genetic background is highly complex.

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Biochemical, ECF18R, and RYR1 Gene Polymorphisms and Their Associations with Osteochondral Diseases and Production Traits in Pigs

Kadarmideen

2007

Biochem Genet

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This study reports the association of five blood types, three enzymes, two proteins, Escherichia coli F18 receptor gene (ECF18R), and the Ryanodin receptor (RYR1) gene with six production traits, four meat quality traits, and two osteochondral diseases in Swiss pig populations. Data on on-farm traits (daily weight gain, percent premium cuts, and backfat) and on station-tested traits (daily weight gain, feed conversion ratio, meat quality, and osteochondral lesions) were available on 3,918 and 303 animals, respectively. A mixed linear model with allele substitution effects was used for each trait by marker analysis (144 analyses). Significant marker-trait associations and allele substitution effects are presented. In general, heritability estimates for production and meat quality traits were higher than those for osteochondral lesions. Blood types lack significant associations with many traits except H and S types. Enzymes (mainly, glucose phosphate isomerase) and protein polymorphisms show significant associations with daily weight gain, premium cuts, and backfat as well as osteochondral lesions. The RYR and ECF18R genes significantly affected all growth, production, and lean meat content traits and osteochondral lesions; RYR also affected pH values. This study reports many novel marker-trait associations, particularly between the incidence of osteochondral lesions and polymorphisms at glucose phosphate isomerase, 6-phosphogluconate dehydrogenase, postalbumin 1A, RYR, and ECF18R loci. These results should be useful in selection and for further functional genomics and proteomics investigations.

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Genetic parameters for lean meat yield, meat quality, reproduction and feed efficiency traits for Australian pigs

Cited by 83 publications

References 17 publications

Genetic parameters of meat quality traits in two pig breeds measured by rapid methods

Genetic parameters of meat quality traits in two pig breeds measured by rapid methods

Genetics of fat tissue accumulation in pigs: a comparative approach

Biochemical, ECF18R, and RYR1 Gene Polymorphisms and Their Associations with Osteochondral Diseases and Production Traits in Pigs

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