Genetic relationships and expected responses for genetic improvement of carcass traits of Berkshire pigs

Tomiyama, Masamitsu; Kanetani, T.; Tatsukawa, Yuuko; Mori, Hisashi; Oikawa, Takuro

doi:10.1590/s0103-90162011000500013

Cited by 3 publications

(3 citation statements)

References 15 publications

(22 reference statements)

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“…Heritabilities for carcass and meat quality traits are shown in Table 3 . Heritability estimates for CW and BF were 0.37 and 0.57, respectively, which were similar to results by Tomiyama et al (2011) who reported 0.54 for BF at finish and 0.32 for CW in a Japanese Berkshire population (n = 4,773). For other breeds, it was reported that the heritability for BF ranged from 0.47 to 0.56 ( Bryner et al, 1992 ; Li and Kennedy, 1994 ; te Pas and Soumillion, 1999 ; Chen et al 2002 ; Johnson and Nugent, 2003 ), which was similar to our results.…”

Section: Resultssupporting

confidence: 88%

“…The estimate for genetic correlation coefficient between CW and BF was 0.27, which was lower than that (0.42) obtained by Tomiyama et al (2011) and the estimates for genetic correlation coefficients between CW and meat quality traits were in the range of −0.36 to 0.29 ( Table 4 ). The genetic correlation coefficient between BF and FC was positive (0.27), while the genetic correlation coefficients between BF and CL and between BF and SH were negative (−0.28 and −0.30).…”

Section: Resultscontrasting

confidence: 62%

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Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs

Lee¹,

Song

Lee

et al. 2015

Asian Australas. J. Anim. Sci

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Genetic parameters of Berkshire pigs for reproduction, carcass and meat quality traits were estimated using the records from a breeding farm in Korea. For reproduction traits, 2,457 records of the total number of piglets born (TNB) and the number of piglets born alive (NBA) from 781 sows and 53 sires were used. For two carcass traits which are carcass weight (CW) and backfat thickness (BF) and for 10 meat quality traits which are pH value after 45 minutes (pH45m), pH value after 24 hours (pH24h), lightness in meat color (LMC), redness in meat color (RMC), yellowness in meat color (YMC), moisture holding capacity (MHC), drip loss (DL), cooking loss (CL), fat content (FC), and shear force value (SH), 1,942 pig records were used to estimate genetic parameters. The genetic parameters for each trait were estimated using VCE program with animal model. Heritability estimates for reproduction traits TNB and NBA were 0.07 and 0.06, respectively, for carcass traits CW and BF were 0.37 and 0.57, respectively and for meat traits pH45m, pH24h, LMC, RMC, YMC, MHC, DL, CL, FC, and SH were 0.48, 0.15, 0.19, 0.36, 0.28, 0.21, 0.33, 0.45, 0.43, and 0.39, respectively. The estimate for genetic correlation coefficient between CW and BF was 0.27. The Genetic correlation between pH24h and meat color traits were in the range of −0.51 to −0.33 and between pH24h and DL and SH were −0.41 and −0.32, respectively. The estimates for genetic correlation coefficients between reproductive and meat quality traits were very low or zero. However, the estimates for genetic correlation coefficients between reproductive traits and drip and cooking loss were in the range of 0.12 to 0.17 and −0.14 to −0.12, respectively. As the estimated heritability of meat quality traits showed medium to high heritability, these traits may be applicable for the genetic improvement by continuous measurement. However, since some of the meat quality traits showed negative genetic correlations with carcass traits, an appropriate breeding scheme is required that carefully considers the complexity of genetic parameters and applicability of data.

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Section: Resultssupporting

confidence: 88%

Section: Resultscontrasting

confidence: 62%

Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs

Lee¹,

Song

Lee

et al. 2015

Asian Australas. J. Anim. Sci

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show abstract

“…The heritabilities that were estimated using genome relationship matrix (G) ranged between 6% and 46% ( Table 3 ). Tomiyama et al (2011) reported 0.54 and 0.32 for (BF) at finish and CWT, respectively, in a Japanese Berkshire population (n = 4,773). Jung et al (2011) reported that heritabilities of pH2 4 h, CIE a, b, and L, WHC, NPPC marbling, drip loss, heat loss and shear force ranged between 0.51 and 0.66 in a Berkshire population (n = 808), Korea.…”

Section: Resultsmentioning

confidence: 93%

Evaluation of Genome Based Estimated Breeding Values for Meat Quality in a Berkshire Population Using High Density Single Nucleotide Polymorphism Chips

Baby¹,

Hyeong²,

Lee³

et al. 2014

Asian Australas. J. Anim. Sci

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The accuracy of genomic estimated breeding values (GEBV) was evaluated for sixteen meat quality traits in a Berkshire population (n = 1,191) that was collected from Dasan breeding farm, Namwon, Korea. The animals were genotyped with the Illumina porcine 62 K single nucleotide polymorphism (SNP) bead chips, in which a set of 36,605 SNPs were available after quality control tests. Two methods were applied to evaluate GEBV accuracies, i.e. genome based linear unbiased prediction method (GBLUP) and Bayes B, using ASREML 3.0 and Gensel 4.0 software, respectively. The traits composed different sets of training (both genotypes and phenotypes) and testing (genotypes only) data. Under the GBLUP model, the GEBV accuracies for the training data ranged from 0.42±0.08 for collagen to 0.75±0.02 for water holding capacity with an average of 0.65±0.04 across all the traits. Under the Bayes B model, the GEBV accuracy ranged from 0.10±0.14 for National Pork Producers Council (NPCC) marbling score to 0.76±0.04 for drip loss, with an average of 0.49±0.10. For the testing samples, the GEBV accuracy had an average of 0.46±0.10 under the GBLUP model, ranging from 0.20±0.18 for protein to 0.65±0.06 for drip loss. Under the Bayes B model, the GEBV accuracy ranged from 0.04±0.09 for NPCC marbling score to 0.72±0.05 for drip loss with an average of 0.38±0.13. The GEBV accuracy increased with the size of the training data and heritability. In general, the GEBV accuracies under the Bayes B model were lower than under the GBLUP model, especially when the training sample size was small. Our results suggest that a much greater training sample size is needed to get better GEBV accuracies for the testing samples.

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Genetic relationships among measurements in live animals and their carcass for genetic improvement of carcass traits of Okayama Berkshire pigs

Tomiyama¹,

Kanetani²,

Tatsukawa³

et al. 2012

The Journal of Animal Genetics

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Genetic relationships and expected responses for genetic improvement of carcass traits of Berkshire pigs

Cited by 3 publications

References 15 publications

Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs

Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs

Evaluation of Genome Based Estimated Breeding Values for Meat Quality in a Berkshire Population Using High Density Single Nucleotide Polymorphism Chips

Genetic relationships among measurements in live animals and their carcass for genetic improvement of carcass traits of Okayama Berkshire pigs

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