Genomic Prediction of Semen Traits in Boars Incorporating Biological Interactions
Yantong Chen, Fang Yang, Yanda Yang, Yulong Hu, Yang Meng, Yuebo Zhang, Maoliang Ran, Jun He, Yulong Yin, Ning Gao · 2024
Read Genomic Prediction of Semen Traits in Boars Incorporating Biological Interactions by Yantong Chen, Fang Yang, Yanda Yang, Yulong Hu, Yang Meng, Yuebo Zhang, Maoliang Ran, Jun He, Yulong Yin, Ning Gao (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11642674.txt.
Description
Yantong Chen and co-authors gauge how well genes can forecast semen traits in breeding boars. Their 2024 study uses records from thousands of Duroc boars and hundreds of thousands of samples. Boars matter greatly in modern pig farming, since one male can sire vast numbers of piglets. Past breeding prized growth, lean meat, and litter size, while semen traits got little weight. The team scores four semen traits for inherited share and forecast accuracy.
Inherited shares run from low to moderate across the four traits. A standard gene model forecasts each trait with fair accuracy. A richer model that adds gene interplay inside known pathways does far better. Gains over the standard model reach a fifth for the top trait. The authors argue pathway-aware forecasts should enter boar selection, since better semen means more piglets per male.
Catalog record
| CREATOR | Yantong Chen, Fang Yang, Yanda Yang, Yulong Hu, Yang Meng, Yuebo Zhang, Maoliang Ran, Jun He, Yulong Yin, Ning Gao |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |