Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type)
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Data Collection and Studied Traits
2.2. Feeding Practices
2.3. Statistical Analyses
3. Analysis of Results
3.1. Variance Component Estimation
3.2. Eigenvalues of the Genetic Assessment Model
3.3. Likelihood Ratio Test
3.4. Genetic and Phenotypic Correlations
4. Discussion
4.1. Model Evaluation
4.2. Heritability
4.3. Genetic and Phenotypic Correlations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Item | BW, kg | WW, kg | ADG, kg/d | 12W, kg |
---|---|---|---|---|
Number of animals in pedigree | 4889 | 4264 | 4264 | 1332 |
The number of sires | 47 | 47 | 47 | 30 |
The number of dams | 2353 | 2217 | 2217 | 667 |
The number of records | 4818 | 4236 | 4236 | 775 |
Records with sire but no dam | 15 | 15 | 15 | 10 |
Records with dam but no sire | 424 | 379 | 379 | 127 |
Average number of progenies per sire | 102.51 | 90.13 | 90.13 | 25.83 |
Average number of progenies per dam | 2.05 | 1.91 | 1.91 | 1.16 |
Mean | 2.54 | 15.17 | 0.89 | 23.66 |
SD | 0.51 | 3.97 | 0.05 | 3.19 |
CV (%) | 20.27 | 26.19 | 5.59 | 13.48 |
Trait | Model | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
BW | model1 | 0.0782 ± 0.0095 | 0.3884 ± 0.0414 | 0.1231 ± 0.0071 | 0.2013 | ||||||
model2 | 0.0080 ± 0.0044 | 0.0345 ± 0.232 | 0.0427 ± 0.0041 | 0.0933 ± 0.0351 | 0.13750.0046 | 0.2308 | |||||
model3 | 0.0053 ± 0.0032 | 0.0279 ± 0.0163 | 0.0438 ± 0.0040 | 0.0976 ± 0.0201 | 0.1393 ± 0.0041 | 0.1883 | |||||
model4 | 0.0247 ± 0.0082 | 0.1290 ± 0.0415 | 0.0839 ± 0.0010 | 0.1218 ± 0.0198 | −0.0442 ± 0.0100 | −0.0641 | 0.1268 ± 0.0059 | 0.1913 | |||
model5 | 0.0056 ± 0.0034 | 0.0272 ± 0.0181 | 0.0271 ± 0.0075 | 0.0652 ± 0.0209 | 0.0181 ± 0.0077 | 0.0433 ± 0.0297 | 0.1373 ± 0.0042 | 0.2061 | |||
model6 | 0.0254 ± 8.183008 × 10−3 | 0.1330 ± 0.0416 | 0.0850 ± 9.846178 × 10−3 | 0.1220 ± 0.0192 | −0.0460 ± 9.997023 × 10−3 | −0.0660 | 5.77 × 10−6 ± 8.794646 × 10−3 | 8.28 × 10−6 ± 0.0222 | 0.1264 ± 9.846178 × 10−3 | 0.1908 | |
WW | model1 | 2.0224 ± 0.3822 | 0.2951 ± 0.0511 | 4.8318 ± 0.2996 | 6.8542 | ||||||
model2 | 0.2025 ± 0.1318 | 0.0277 ± 0.0202 | 0.8063 ± 0.1398 | 0.1104 ± 0.0213 | 5.4866 ± 0.1813 | 7.3017 | |||||
model3 | 0.1611 ± 0.1145 | 0.0247 ± 0.0175 | 0.8331 ± 0.1382 | 0.1278 ± 0.0305 | 5.5225 ± 0.1728 | 6.5167 | |||||
model4 | 0.1775 ± 0.1194 | 0.0272 ± 0.0182 | 0.5970 ± 0.2269 | 0.0915 ± 0.03 | 0.2234 ± 0.1796 | 0.0343 | 5.5245 ± 0.1730 | 6.5225 | |||
model5 | 0.1768 ± 0.1212 | 0.0252 ± 0.0185 | 0.3439 ± 0.2997 | 0.0490 ± 0.0196 | 4.94 × 10−1 ± 0.3091 | 7.04 × 10−2 ± 0.0005 | 5.5046 ± 0.1761 | 7.0133 | |||
model6 | 0.2637 ± 0.1563 | 0.0381 ± 0.0237 | 0.2131 ± 0.1485 | 0.0308 ± 0.0201 | 0.2350 ± 0.2655 | 0.0340 | 3.73 × 10−1 ± 0.2855 | 5.40 × 10−2 ± 0.0310 | 5.4563 ± 0.1836 | 6.9142 | |
ADG | model1 | 374.4621 ± 70.7725 | 0.2749 ± 0.0480 | 987.5901 ± 56.4361 | 1362.0522 | ||||||
model2 | 9.9015 ± 16.3606 | 0.0076 ± 0.12263 | 231.0019 ± 28.1657 | 0.1784 ± 0.0025 | 1053.7089 ± 32.6786 | 1294.6123 | |||||
model3 | 7.0710 ± 15.0365 | 0.0054 ± 0.0116 | 212.8514 ± 27.2987 | 0.1640 ± 0.0195 | 1077.8684 ± 31.9376 | 1297.7909 | |||||
model4 | 14.7989 ± 17.8982 | 0.0114 ± 0.0138 | 274.6565 ± 50.5847 | 0.2118 ± 0.0301 | −61.0918 ± 42.0320 | −0.0471 | 1068.6444 ± 32.7585 | 1297.0080 | |||
model5 | 7.4566 ± 15.4108 | 0.0057 ± 0.0119 | 123.8752 ± 51.7771 | 0.0954 ± 0.0175 | 98.0659 ± 53.8055 | 0.0756 ± 0.03 | 1068.4145 ± 32.1868 | 1297.8121 | |||
model6 | 9.2362 ± 0.1609 | 0.0071 ± 0.0127 | 149.9121 ± 0.5036 | 0.1157 ± 0.0238 | −36.2426 ± 25.9512 | −0.0280 | 106.9093 ± 61.5302 | 0.0825 ± 0.02 | 1066.3299 ± 31.9792 | 1296.1449 | |
12W | model1 | 2.0863 ± 0.8924 | 0.2192 ± 0.0968 | 7.4310 ± 0.8226 | 9.5173 | ||||||
model2 | 1.8972 ± 0.9001 | 0.1944 ± 0.1050 | 0.2620 ± 0.0205 | 0.0276 ± 0.03 | 7.3365 ± 1.2862 | 9.7578 | |||||
model3 | 1.8972 ± 0.9198 | 0.1998 ± 0.0895 | 0.2620 ± 0.0120 | 0.0276 ± 0.0211 | 7.3366 ± 1.0272 | 9.4958 | |||||
model4 | 1.8953 ± 0.8920 | 0.1996 ± 0.0992 | 0.1522 ± 0.0198 | 0.0160 ± 0.0129 | 0.1100 ± 0.1921 | 0.0116 | 7.3381 ± 1.1953 | 9.4955 | |||
model5 | 1.8985 ± 0.8919 | 0.1999 ± 0.1306 | 0.2610 ± 0.0149 | 0.0275 ± 0.0300 | 6.16 × 10−5 ± 0.0298 | 6.46 × 10−6 ± 0.0043 | 7.3353 ± 0.1051 | 9.4949 | |||
model6 | 1.8968 ± 0.9054 | 0.1998 ± 0.1036 | 0.1658 ± 0.0137 | 0.0175 ± 0.01974 | 0.0953 ± 0.2007 | 0.0100 | 6.12 × 10−5 ± 0.0271 | 6.43 × 10−6 ± 0.0002 | 7.3365 ± 0.1926 | 9.4945 |
Traits | Models | AIC | BIC | (−2logL) |
---|---|---|---|---|
BW | model1 | −3072.36 | −3059.43 | −3076.36 |
model2 | −3177.03 | −3157.67 | −3183.03 | |
model3 | −3217.29 | −3197.89 | −3223.29 | |
model4 | −3239.12 | −3213.26 | −3247.12 | |
model5 | −3223.72 | −3197.86 | −3231.72 | |
model6 | −3246.21 | −3213.88 | −3256.20 | |
WW | model1 | 12,920.58 | 12,933.26 | 12,916.58 |
model2 | 12,892.71 | 12,911.73 | 12,886.71 | |
model3 | 12,896.38 | 12,915.4 | 12,890.38 | |
model4 | 12,897.23 | 12,922.59 | 12,889.27 | |
model5 | 12,898.37 | 12,923.73 | 12,890.37 | |
model6 | 12,899.23 | 12,930.93 | 12,889.23 | |
ADG | model1 | 34,479.91 | 34,492.6 | 34,475.92 |
model2 | 34,414.11 | 34,433.15 | 34,408.12 | |
model3 | 34,416.25 | 34,435.29 | 34,410.26 | |
model4 | 34,413.19 | 34,438.57 | 34,405.2 | |
model5 | 34,419.66 | 34,445.04 | 34,411.66 | |
model6 | 34,418.89 | 34,450.61 | 34,408.88 | |
12W | model1 | 4308.41 | 4318.79 | 4304.41 |
model2 | 4310.18 | 4325.75 | 4304.18 | |
model3 | 4310.18 | 4325.75 | 4304.18 | |
model4 | 4312.18 | 4332.94 | 4304.18 | |
model5 | 4312.17 | 4332.93 | 4304.17 | |
model6 | 4314.17 | 4340.12 | 4304.17 |
Model Comparison | df | BW | WW | ADG | 12W |
---|---|---|---|---|---|
model2/model1 | 1 | 106.67 *** | 29.88 *** | 67.78 ns | 0.23 *** |
model3/model1 | 1 | 146.93 *** | 26.2 *** | 65.66 ns | 0.23 *** |
model4/model1 | 2 | 170.76 *** | 27.36 *** | 70.72 ns | 0.23 *** |
model5/model1 | 2 | 155.36 *** | 26.22 *** | 64.26 ns | 0.24 *** |
model6/model1 | 3 | 179.84 *** | 27.37 *** | 67.04 ns | 0.24 *** |
model5/model2 | 1 | 48.69 *** | −3.66 ns | −3.54 ns | 0.014 ns |
model6/model2 | 2 | 73.17 *** | −2.52 ns | −0.76 ns | 0.014 ns |
model4/model3 | 1 | 23.83 *** | 1.16 ns | 5.06 ns | 0.002 ns |
model5/model3 | 1 | 8.43 ** | 0.014 ns | −1.4 ns | 0.014 ns |
model6/model3 | 2 | 32.91 *** | 1.15 ns | 1.38 ns | 0.014 ns |
model6/model4 | 1 | 9.08 ** | −0.002 ns | −3.68 ns | 0.012 ns |
model6/model5 | 1 | 24.48 *** | 1.14 ns | 2.78 ns | 0 ns |
Traits | BW | WW | ADG | 12W |
BW | 0.3906 ± 0.0165 | −0.7906 ± 0.0074 | 0.2014 ± 0.0316 | |
WW | 0.5529 ± 0.0843 | 0.3562 ± 0.0185 | 0.2497 ± 0.0288 | |
ADG | −0.8700 ± 0.2384 | 0.3809 ± 0.0735 | 0.0993 ± 0.0992 | |
12W | −0.6256 ± 0.5475 | 0.3329 ± 0.3408 | 0.0755 ± 0.2882 |
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Shi, Y.; Liu, Y.; Qi, Y.; Rong, Y.; Ao, X.; Zhang, M.; Xia, Q.; Zhang, Y.; Wang, R. Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type). Animals 2025, 15, 1652. https://doi.org/10.3390/ani15111652
Shi Y, Liu Y, Qi Y, Rong Y, Ao X, Zhang M, Xia Q, Zhang Y, Wang R. Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type). Animals. 2025; 15(11):1652. https://doi.org/10.3390/ani15111652
Chicago/Turabian StyleShi, Yue, Yan Liu, Yunpeng Qi, Youjun Rong, Xiaofang Ao, Mingzhu Zhang, Qincheng Xia, Yanjun Zhang, and Ruijun Wang. 2025. "Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type)" Animals 15, no. 11: 1652. https://doi.org/10.3390/ani15111652
APA StyleShi, Y., Liu, Y., Qi, Y., Rong, Y., Ao, X., Zhang, M., Xia, Q., Zhang, Y., & Wang, R. (2025). Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type). Animals, 15(11), 1652. https://doi.org/10.3390/ani15111652