Literature DB >> 28805895

Genetic parameters of carcass and meat quality traits in different muscles (longissimus dorsi and semimembranosus) of Hanwoo (Korean cattle).

M S A Bhuiyan, H J Kim, D H Lee, S H Lee, S H Cho, B S Yang, S D Kim, S H Lee.   

Abstract

We estimated heritability () and genetic and phenotypic correlations for carcass and meat quality traits of longissimus dorsi (LD) and semimembranosus (SM) muscles in 30-mo-old Hanwoo steers. Variance and covariance components were estimated using REML procedures under univariate and bivariate models. The mean carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS) were 428.20 ± 46.30 kg, 87.38 ± 8.54 cm2, 13.00 ± 5.14 mm, and 5.21 ± 1.56, respectively. The mean CIE reflectance of meat lightness (L*), redness (a*), and yellowness (b*) were 40.01 ± 2.73, 22.37 ± 2.18, and 10.35 ± 1.46, respectively, in LD muscles and 36.33 ± 2.44, 22.91 ± 2.43, and 10.25 ± 1.65, respectively, in SM muscles. The mean Warner-Bratzler shear force (WBSF), intramuscular fat content (IMF), water-holding capacity (WHC), and protein and ash content in LD and SM muscles were 3.84 ± 0.96 and 6.52 ± 1.21 kg, 15.91 ± 4.39 and 5.10 ± 1.94%, 62.07 ± 3.38 and 71.61 ± 2.06%, 20.01 ± 1.39 and 21.34 ± 0.89%, and 0.80 ± 0.10 and 0.93 ± 0.07, respectively. The estimates of CWT, EMA, BFT, and MS were 0.51 ± 0.13, 0.45 ± 0.13, 0.29 ± 0.09, and 0.22 ± 0.08, respectively. The estimates were moderate for meat quality traits and were 0.37 ± 0.12, 0.40 ± 0.12, 0.33 ± 0.10, 0.33 ± 0.10, 0.30 ± 0.11, and 0.24 ± 0.09 for L*, WBSF, IMF, WHC, and protein and ash content, respectively, in LD muscle; estimates from SM muscle were comparatively low (0.08 ± 0.06 to 0.25 ± 0.09). Estimates of for a* and b* were also low (0.08 ± 0.06 to 0.13 ± 0.07). Carcass weight had a moderate, positive genetic correlation with EMA (0.60 ± 0.13) and a weak correlation with MS and BFT. The genetic correlations among the 3 colorimeter variants were strong and positive within and between muscles. Intramuscular fat content had moderate to strong and negative genetic correlations with WBSF (-0.49 ± 0.18), WHC (-0.99 ± 0.01), and protein (-0.93 ± 0.04) and ash content (-0.98 ± 0.06) in LD muscle, whereas the associations were less pronounced in SM muscle. In general, CWT and EMA had low genetic and phenotypic correlations with meat quality traits, which suggests that the traits are independent and have distinct genetic contributions in each muscle. Conversely, with few exceptions, meat quality traits had genetic and phenotypic correlations with MS and BFT. In conclusion, the estimated genetic parameters for carcass and meat quality traits could be used for genetic evaluation and breeding programs in Korean Hanwoo cattle populations.

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Year:  2017        PMID: 28805895     DOI: 10.2527/jas.2017.1493

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  9 in total

1.  Functional Partitioning of Genomic Variance and Genome-Wide Association Study for Carcass Traits in Korean Hanwoo Cattle Using Imputed Sequence Level SNP Data.

Authors:  Mohammad S A Bhuiyan; Dajeong Lim; Mina Park; Soohyun Lee; Yeongkuk Kim; Cedric Gondro; Byoungho Park; Seunghwan Lee
Journal:  Front Genet       Date:  2018-06-22       Impact factor: 4.599

2.  Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models.

Authors:  Hossein Mehrban; Deuk Hwan Lee; Masoumeh Naserkheil; Mohammad Hossein Moradi; Noelia Ibáñez-Escriche
Journal:  PLoS One       Date:  2019-10-14       Impact factor: 3.240

3.  Genome-Wide Association Study of Meat Quality Traits in Hanwoo Beef Cattle Using Imputed Whole-Genome Sequence Data.

Authors:  Mohammed Bedhane; Julius van der Werf; Cedric Gondro; Naomi Duijvesteijn; Dajeong Lim; Byoungho Park; Mi Na Park; Roh Seung Hee; Samuel Clark
Journal:  Front Genet       Date:  2019-11-29       Impact factor: 4.599

4.  Haplotype-Based Genome-Wide Association Study and Identification of Candidate Genes Associated with Carcass Traits in Hanwoo Cattle.

Authors:  Swati Srivastava; Krishnamoorthy Srikanth; Sohyoung Won; Ju-Hwan Son; Jong-Eun Park; Woncheoul Park; Han-Ha Chai; Dajeong Lim
Journal:  Genes (Basel)       Date:  2020-05-14       Impact factor: 4.096

5.  Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle.

Authors:  Swati Srivastava; Bryan Irvine Lopez; Sara de Las Heras-Saldana; Jong-Eun Park; Dong-Hyun Shin; Han-Ha Chai; Woncheol Park; Seung-Hwan Lee; Dajeong Lim
Journal:  Animals (Basel)       Date:  2019-12-02       Impact factor: 2.752

6.  Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle.

Authors:  Lili Du; Tianpeng Chang; Bingxing An; Mang Liang; Xinghai Duan; Wentao Cai; Bo Zhu; Xue Gao; Yan Chen; Lingyang Xu; Lupei Zhang; Junya Li; Huijiang Gao
Journal:  Sci Rep       Date:  2021-06-07       Impact factor: 4.379

7.  A Gene-Set Enrichment and Protein-Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle.

Authors:  Krishnamoorthy Srikanth; Seung-Hwan Lee; Ki-Yong Chung; Jong-Eun Park; Gul-Won Jang; Mi-Rim Park; Na Yeon Kim; Tae-Hun Kim; Han-Ha Chai; Won Cheoul Park; Dajeong Lim
Journal:  Genes (Basel)       Date:  2020-03-16       Impact factor: 4.096

8.  RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef.

Authors:  Joel D Leal-Gutiérrez; Mauricio A Elzo; Chad Carr; Raluca G Mateescu
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

9.  Estimation of Genetic Parameters and Correlation between Yearling Ultrasound Measurements and Carcass Traits in Hanwoo Cattle.

Authors:  Masoumeh Naserkheil; Deuk-Hwan Lee; Hong-Sik Kong; Jiyeon Seong; Hossein Mehrban
Journal:  Animals (Basel)       Date:  2021-05-16       Impact factor: 2.752

  9 in total

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