Buscar en RiuNet

Listar

Mostrando ítems 1-3 de 3

Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms

Mora, Mónica; González, Pablo; Quevedo, José Ramón; Montañés, Elena; Tusell, Llibertat; Bersgma, Rob; Piles, Miriam (Blackwell Publishing, 2023-11)

[EN] Feeding represents the largest economic cost in meat production; therefore, selection to improve traits related to feed efficiency is a goal in most livestock breeding programs. Residual feed intake (RFI), that is, ...
Tawards an improved estimation of the biological components of residual feed intake in growing cattle

Savietto, Davi (Universitat Politècnica de València, 2014-03-13)

[EN] Estimated breeding values for the random regression coefficient could be useful phenotypes in themselves for studies wishing to elucidate the underlying mechanisms governing differences among animals in RFI.
Towards an improved estimation of the biological components of residual feed intake in growing cattle

Savietto, Davi; Berry, D.P.; Friggens, N.C. (American Society of Animal Science, 2014-02)

Residual feed intake (RFI) is the difference between observed and predicted feed intake. It is calculated as the residuals from a multiple regression model of DMI on the various energy expenditures (e.g., maintenance, ...

Mostrando ítems 1-3 de 3