Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Animals and Phenotypes
2.2. Statistical Analysis
3. Results and Discussion
3.1. Heritability Estimates
3.2. Genetic and Phenotypic Correlations
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Trait (Unit) | Number of Records | Mean (SE) | Min. | Max. | SD | CV (%) |
---|---|---|---|---|---|---|
slaughter age (month) | 5626 | 23.71 (0.01) | 21.40 | 25.51 | 0.64 | 2.71 |
Carcass traits | ||||||
CW (kg) | 5619 | 370.48 (0.57) | 213.00 | 562.00 | 42.80 | 11.55 |
EMA (cm2) | 5617 | 81.62 (0.12) | 50.00 | 121.00 | 8.98 | 11.00 |
BFT (mm) | 5622 | 9.92 (0.05) | 1.00 | 35.00 | 3.95 | 39.83 |
MS (score) | 5622 | 3.53 (0.02) | 1.00 | 9.00 | 1.64 | 46.50 |
Primal cut yields | ||||||
TLN (kg) | 3466 | 6.04 (0.01) | 3.00 | 9.00 | 0.76 | 12.65 |
SLN (kg) | 3465 | 34.23 (0.07) | 16.80 | 50.70 | 4.11 | 12.02 |
STLN (kg) | 3465 | 7.85 (0.02) | 4.30 | 12.40 | 1.17 | 14.96 |
CHK (kg) | 3463 | 14.61 (0.06) | 6.70 | 34.80 | 3.76 | 25.72 |
BSK (kg) | 3466 | 23.76 (0.05) | 12.60 | 38.60 | 3.01 | 12.67 |
TRD (kg) | 3467 | 20.22 (0.04) | 10.50 | 30.20 | 2.43 | 12.00 |
BRD (kg) | 3467 | 32.99 (0.07) | 16.60 | 49.60 | 3.92 | 11.89 |
SK (kg) | 3466 | 14.66 (0.03) | 9.00 | 21.70 | 1.77 | 12.09 |
FK (kg) | 3465 | 28.29 (0.08) | 12.50 | 50.30 | 4.83 | 17.08 |
RB (kg) | 3467 | 57.55 (0.13) | 21.70 | 89.30 | 7.53 | 13.09 |
Composite traits | ||||||
HVC (kg) 1 | 3459 | 62.71 (0.13) | 33.60 | 98.80 | 7.94 | 12.66 |
MVC (kg) 2 | 3464 | 134.53 (0.26) | 71.60 | 188.00 | 15.2 | 11.30 |
LVC (kg) 3 | 3463 | 42.96 (0.10) | 23.00 | 70.70 | 6.09 | 14.18 |
Trait | h2 | σ2g | σ2e | σ2p | CVg (%) |
---|---|---|---|---|---|
Carcass traits | |||||
CW | 0.28 (0.04) | 303.64 (45.29) | 783.07 (40.03) | 1086.70 (22.51) | 4.68 |
EMA | 0.46 (0.05) | 29.06 (3.27) | 33.58 (2.63) | 62.64 (1.39) | 6.60 |
BFT | 0.57 (0.05) | 7.20 (0.72) | 5.48 (0.56) | 12.68 (0.29) | 27.05 |
MS | 0.59 (0.05) | 1.44 (0.14) | 1.01 (0.11) | 2.45 (0.06) | 33.99 |
Primal cut yields | |||||
TLN | 0.34 (0.05) | 0.14 (0.02) | 0.27 (0.02) | 0.42 (0.01) | 6.19 |
SLN | 0.42 (0.06) | 5.26 (0.78) | 7.20 (0.65) | 12.46 (0.34) | 6.70 |
STLN | 0.39 (0.06) | 0.31 (0.05) | 0.50 (0.04) | 0.81 (0.02) | 7.09 |
CHK | 0.21 (0.04) | 1.82 (0.38) | 6.64 (0.36) | 8.46 (0.22) | 9.23 |
BSK | 0.51 (0.06) | 3.17 (0.42) | 3.08 (0.34) | 6.25 (0.18) | 7.49 |
TRD | 0.52 (0.06) | 2.22 (0.29) | 2.07 (0.23) | 4.29 (0.12) | 7.37 |
BRD | 0.50 (0.06) | 5.47 (0.73) | 5.41 (0.59) | 10.87 (0.30) | 7.09 |
SK | 0.50 (0.06) | 1.10 (0.15) | 1.11 (0.12) | 2.20 (0.06) | 7.15 |
FK | 0.29 (0.05) | 4.61 (0.86) | 11.58 (0.77) | 16.18 (0.42) | 7.59 |
RB | 0.27 (0.05) | 9.58 (1.93) | 27.18 (1.75) | 37.04 (0.96) | 5.38 |
Composite traits | |||||
HVC 1 | 0.34 (0.05) | 15.63 (2.57) | 30.02 (2.23) | 45.65 (1.21) | 6.30 |
MVC 2 | 0.35 (0.05) | 51.44 (8.39) | 93.57 (7.22) | 145.01 (3.87) | 5.33 |
LVC 3 | 0.36 (0.06) | 9.14 (1.50) | 16.59 (1.29) | 25.72 (0.69) | 7.04 |
Trait | TLN | SLN | STLN | CHK | BSK | TRD | BRD | SK | FK | RB |
---|---|---|---|---|---|---|---|---|---|---|
TLN | 1.00 | 0.62 (0.07) | 0.57 (0.08) | 0.54 (0.10) | 0.85 (0.04) | 0.79 (0.04) | 0.86 (0.04) | 0.82 (0.04) | 0.58 (0.09) | 0.18 (0.13) |
SLN | 0.68 (0.01) | 1.00 | 0.85 (0.04) | 0.60 (0.09) | 0.76 (0.04) | 0.64 (0.06) | 0.72 (0.05) | 0.72 (0.05) | 0.68 (0.07) | 0.52 (0.09) |
STLN | 0.66 (0.01) | 0.73 (0.01) | 1.00 | 0.52 (0.11) | 0.73 (0.05) | 0.67 (0.06) | 0.74 (0.05) | 0.75 (0.05) | 0.63 (0.08) | 0.43 (0.10) |
CHK | 0.49 (0.01) | 0.55 (0.01) | 0.44 (0.01) | 1.00 | 0.69 (0.07) | 0.64 (0.08) | 0.63 (0.08) | 0.58 (0.09) | 0.38 (0.14) | 0.16 (0.15) |
BSK | 0.74 (0.01) | 0.78 (0.01) | 0.66 (0.01) | 0.56 (0.01) | 1.00 | 0.88 (0.03) | 0.92 (0.02) | 0.87 (0.03) | 0.68 (0.07) | 0.39 (0.10) |
TRD | 0.74 (0.01) | 0.72 (0.01) | 0.66 (0.01) | 0.53 (0.01) | 0.81 (0.01) | 1.00 | 0.93 (0.01) | 0.83 (0.03) | 0.72 (0.06) | 0.21 (0.11) |
BRD | 0.77 (0.01) | 0.76 (0.01) | 0.70 (0.01) | 0.53 (0.01) | 0.85 (0.01) | 0.90 (0.00) | 1.00 | 0.91 (0.02) | 0.74 (0.06) | 0.33 (0.10) |
SK | 0.71 (0.01) | 0.71 (0.01) | 0.65 (0.01) | 0.48 (0.01) | 0.82 (0.01) | 0.82 (0.01) | 0.86 (0.00) | 1.00 | 0.76 (0.06) | 0.36 (0.10) |
FK | 0.49 (0.01) | 0.56 (0.01) | 0.51 (0.01) | 0.09 (0.02) | 0.57 (0.01) | 0.61 (0.01) | 0.62 (0.01) | 0.62 (0.01) | 1.00 | 0.45 (0.11) |
RB | 0.50 (0.01) | 0.68 (0.01) | 0.54 (0.01) | 0.34 (0.02) | 0.57 (0.01) | 0.49 (0.01) | 0.56 (0.01) | 0.53 (0.01) | 0.47 (0.01) | 1.00 |
Trait | TLN | SLN | STLN | CHK | BSK | TRD | BRD | SK | FK | RB |
---|---|---|---|---|---|---|---|---|---|---|
Geneticcorrelations | ||||||||||
CW | 0.55 (0.08) | 0.73 (0.05) | 0.67 (0.06) | 0.47 (0.11) | 0.73 (0.05) | 0.60 (0.06) | 0.74 (0.05) | 0.72 (0.05) | 0.64 (0.08) | 0.82 (0.04) |
EMA | 0.45 (0.08) | 0.77 (0.05) | 0.85 (0.04) | 0.58 (0.10) | 0.59 (0.06) | 0.54 (0.07) | 0.55 (0.07) | 0.52 (0.07) | 0.39 (0.10) | 0.34 (0.10) |
BFT | −0.46 (0.09) | −0.36 (0.09) | −0.30 (0.09) | −0.33 (0.11) | −0.36 (0.08) | −0.43 (0.08) | −0.33 (0.08) | −0.32 (0.08) | −0.26 (0.10) | 0.10 (0.11) |
MS | 0.02 (0.10) | 0.44 (0.08) | 0.31 (0.09) | 0.06 (0.12) | 0.16 (0.09) | 0.03 (0.09) | 0.05 (0.09) | 0.03 (0.09) | −0.06 (0.10) | 0.43 (0.10) |
Phenotypic correlations | ||||||||||
CW | 0.67 (0.01) | 0.83 (0.01) | 0.70 (0.01) | 0.51 (0.01) | 0.78 (0.01) | 0.72 (0.01) | 0.79 (0.01) | 0.75 (0.01) | 0.59 (0.01) | 0.86 (0.00) |
EMA | 0.48 (0.01) | 0.63 (0.01) | 0.66 (0.01) | 0.39 (0.02) | 0.51 (0.01) | 0.53 (0.01) | 0.54 (0.01) | 0.48 (0.01) | 0.36 (0.02) | 0.40 (0.02) |
BFT | −0.06 (0.02) | −0.01 (0.02) | 0.01 (0.02) | −0.04 (0.02) | −0.07 (0.02) | −0.10 (0.02) | −0.06 (0.02) | −0.07 (0.02) | 0.01 (0.02) | 0.30 (0.02) |
MS | 0.02 (0.02) | 0.21 (0.02) | 0.17 (0.02) | 0.00 (0.02) | 0.01 (0.02) | −0.08 (0.02) | −0.02 (0.02) | −0.07 (0.02) | −0.14 (0.02) | 0.22 (0.02) |
Trait | CW | EMA | BFT | MS |
---|---|---|---|---|
Genetic correlations | ||||
HVC 1 | 0.73 (0.05) | 0.81 (0.05) | −0.40 (0.09) | 0.33 (0.09) |
MVC 2 | 0.92 (0.02) | 0.59 (0.07) | −0.24 (0.10) | 0.24 (0.10) |
LVC 3 | 0.71 (0.06) | 0.45 (0.09) | −0.30 (0.10) | −0.03 (0.10) |
Phenotypic correlations | ||||
HVC | 0.81 (0.01) | 0.63 (0.01) | −0.02 (0.02) | 0.14 (0.02) |
MVC | 0.94 (0.00) | 0.55 (0.01) | 0.10 (0.02) | 0.09 (0.02) |
LVC | 0.69 (0.01) | 0.42 (0.02) | −0.02 (0.02) | −0.13 (0.02) |
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Naserkheil, M.; Lee, D.; Chung, K.; Park, M.N.; Mehrban, H. Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle. Animals 2021, 11, 3102. https://doi.org/10.3390/ani11113102
Naserkheil M, Lee D, Chung K, Park MN, Mehrban H. Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle. Animals. 2021; 11(11):3102. https://doi.org/10.3390/ani11113102
Chicago/Turabian StyleNaserkheil, Masoumeh, Deukmin Lee, Kihoon Chung, Mi Na Park, and Hossein Mehrban. 2021. "Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle" Animals 11, no. 11: 3102. https://doi.org/10.3390/ani11113102