دورية أكاديمية
Comparison of genomic predictions for carcass and reproduction traits in Berkshire, Duroc and Yorkshire populations in Korea
| العنوان: | Comparison of genomic predictions for carcass and reproduction traits in Berkshire, Duroc and Yorkshire populations in Korea |
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| المؤلفون: | Asif Iqbal, Tae-Jeong Choi, You-Sam Kim, Yun-Mi Lee, M. Zahangir Alam, Jong-Hyun Jung, Ho-Sung Choe, Jong-Joo Kim |
| المصدر: | Asian-Australasian Journal of Animal Sciences, Vol 32, Iss 11, Pp 1657-1663 (2019) |
| بيانات النشر: | Asian-Australasian Association of Animal Production Societies, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Animal culture LCC:Animal biochemistry |
| مصطلحات موضوعية: | genomic selection, genomic estimated breeding value (gebv), genomic best linear unbiased prediction (gblup), carcass traits, reproduction traits, pig, Animal culture, SF1-1100, Animal biochemistry, QP501-801 |
| الوصف: | Objective A genome-based best linear unbiased prediction (GBLUP) method was applied to evaluate accuracies of genomic estimated breeding value (GEBV) of carcass and reproductive traits in Berkshire, Duroc and Yorkshire populations in Korean swine breeding farms. Methods The data comprised a total of 1,870, 696, and 1,723 genotyped pigs belonging to Berkshire, Duroc and Yorkshire breeds, respectively. Reference populations for carcass traits consisted of 888 Berkshire, 466 Duroc, and 1,208 Yorkshire pigs, and those for reproductive traits comprised 210, 154, and 890 dams for the respective breeds. The carcass traits analyzed were backfat thickness (BFT) and carcass weight (CWT), and the reproductive traits were total number born (TNB) and number born alive (NBA). For each trait, GEBV accuracies were evaluated with a GEBV BLUP model and realized GEBVs. Results The accuracies under the GBLUP model for BFT and CWT ranged from 0.33–0.72 and 0.33–0.63, respectively. For NBA and TNB, the model accuracies ranged 0.32 to 0.54 and 0.39 to 0.56, respectively. The realized accuracy estimates for BFT and CWT ranged 0.30 to 0.46 and 0.09 to 0.27, respectively, and 0.50 to 0.70 and 0.70 to 0.87 for NBA and TNB, respectively. For the carcass traits, the GEBV accuracies under the GBLUP model were higher than the realized GEBV accuracies across the breed populations, while for reproductive traits the realized accuracies were higher than the model based GEBV accuracies. Conclusion The genomic prediction accuracy increased with reference population size and heritability of the trait. The GEBV accuracies were also influenced by GEBV estimation method, such that careful selection of animals based on the estimated GEBVs is needed. GEBV accuracy will increase with a larger sized reference population, which would be more beneficial for traits with low heritability such as reproductive traits. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1011-2367 1976-5517 |
| Relation: | http://www.ajas.info/upload/pdf/ajas-18-0672.pdf; https://doaj.org/toc/1011-2367; https://doaj.org/toc/1976-5517 |
| DOI: | 10.5713/ajas.18.0672 |
| URL الوصول: | https://doaj.org/article/6371d38e89db4c65a3b9284475a025d9 |
| رقم الأكسشن: | edsdoj.6371d38e89db4c65a3b9284475a025d9 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10112367 19765517 |
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| DOI: | 10.5713/ajas.18.0672 |