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Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning
(Frontiers Media, 2021-02-22)
Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation ...
Use of group records of feed intake to select for feed efficiency in rabbit
(Wiley, 2019-04-24)
Models for genetic evaluation of feed efficiency (FE) for animals housed in groups when they are either fed ad libitum (F) or on restricted (R) feeding were implemented. Definitions of FE on F included ...
Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms
(Frontiers Media, 2020-12-18)
This research assessed the ability of a Support Vector Machine (SVM) regression model to predict pig crossbred (CB) performance from various sources of phenotypic and genotypic information for improving ...
Breeding farm, level of feeding and presence of antibiotics in the feed influence rabbit cecal microbiota
(BMC, 2020-11-02)
Background
The effect of the production environment and different management practices in rabbit cecal microbiota remains poorly understood. While previous studies have proved the impact of the age or ...
Longitudinal analysis of direct and indirect effects on average daily gain in rabbits using a structured antedependence model
(BMC, 2018-05-10)
Background: Indirect genetic efects (IGE) are important components of various traits in several species. Although
the intensity of social interactions between partners likely vary over time, very few ...