Article
Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms.
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Nov 2023
Mora Mónica, González Pablo, Quevedo José Ramón, Montañés Elena, Tusell Llibertat, Bergsma Rob, Piles Miriam
Abstract excerpt
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, the difference between the actual and the expected feed intake based on animal's requirements, has been used as the selection criteria to improve feed efficiency since it was proposed by Kotch in 1963....
Topics
- Animals
- Genotype
- Phenotype
- Genome
- Body Weight
- Algorithms
- Eating
- Machine Learning
- Animal Feed