First large-scale genomic prediction in the honey bee
| العنوان: | First large-scale genomic prediction in the honey bee |
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| المؤلفون: | Richard Bernstein, Manuel Du, Zhipei G. Du, Anja S. Strauss, Andreas Hoppe, Kaspar Bienefeld |
| المصدر: | Heredity. 130:320-328 |
| بيانات النشر: | Springer Science and Business Media LLC, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Genomics (q-bio.GN), FOS: Biological sciences, fungi, behavior and behavior mechanisms, Populations and Evolution (q-bio.PE), Genetics, food and beverages, Quantitative Biology - Genomics, Quantitative Biology - Populations and Evolution, Genetics (clinical) |
| الوصف: | Genomic selection has increased genetic gain in several livestock species, but due to the complicated genetics and reproduction biology not yet in honey bees. Recently, 2 970 queens were genotyped to gather a reference population. For the application of genomic selection in honey bees, this study analyses the predictive ability and bias of pedigree-based and genomic breeding values for honey yield, three workability traits and two traits for resistance against the parasite Varroa destructor. For breeding value estimation, we use a honey bee-specific model with maternal and direct effects, to account for the contributions of the workers and the queen of a colony to the phenotypes. We conducted a validation for the last generation and a five-fold cross-validation. In the validation for the last generation, the predictive ability of pedigree-based estimated breeding values was 0.06 for honey yield, and ranged from 0.2 to 0.41 for the workability traits. The inclusion of genomic marker data improved these predictive abilities to 0.11 for honey yield, and a range from 0.22 to 0.44 for the workability traits. The inclusion of genomic data did not improve the predictive ability for the disease related traits. Traits with high heritability for maternal effects compared to the heritability for direct effects showed the most promising results. Across all traits, the bias with genomic methods was close to the bias with pedigree-based BLUP. The results show that genomic selection can successfully be applied to honey bees. Comment: 31 pages, 4 figures, submitted to Heredity |
| تدمد: | 1365-2540 0018-067X |
| DOI: | 10.1038/s41437-023-00606-9 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::229aa782a65175801a367d0457ba4079 https://doi.org/10.1038/s41437-023-00606-9 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....229aa782a65175801a367d0457ba4079 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13652540 0018067X |
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| DOI: | 10.1038/s41437-023-00606-9 |