Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling
Ayooluwa O Ojo, Henrique A Mulim, Gabriel S Campos, Vinícius Silva Junqueira, Ronald P Lemenager, Jon Patrick Schoonmaker, Hinayah Rojas Oliveira · 2024
Read Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling by Ayooluwa O Ojo, Henrique A Mulim, Gabriel S Campos, Vinícius Silva Junqueira, Ronald P Lemenager, Jon Patrick Schoonmaker, Hinayah Rojas Oliveira (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-11672590.txt.
Description
Ayooluwa Ojo and co-authors review how beef producers can breed and feed cattle that turn feed into beef more efficiently. Feed is the industry's biggest cost and footprint, but measuring each animal's intake was long impractical. New sensors now record individual intake precisely, giving breeders and nutritionists hard data.
Genomic selection can then spot efficient animals early, and pooling data across herds sharpens those predictions. Feeding models tuned to each herd's genetics promise further gains. The authors argue the two toolkits work best together: genetics sets the potential, nutrition delivers it. Their roadmap aims at lower input costs and a more sustainable beef supply as global demand grows.
Catalog record
| CREATOR | Ayooluwa O Ojo, Henrique A Mulim, Gabriel S Campos, Vinícius Silva Junqueira, Ronald P Lemenager, Jon Patrick Schoonmaker, Hinayah Rojas Oliveira |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 119 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |