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Longitudinal modelling of performance and feed efficiency traits in growing Duroc pigs
(Elsevier, 2022-01-07)
In this study we used the phenotypic information of 1,499 Duroc pigs, recorded longitudinally in the age period from 110 to 200 days of age for individual daily feed intake (DFI), backfat thickness (BF) ...
Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line
(BMC, 2017-12-01)
Background: Improving feed efciency (FE) is a key factor for any pig breeding company. Although this can be achieved by selection on an index of multi-trait best linear unbiased prediction of breeding ...
Are Consumers’ Egg Preferences Influenced by Animal-Welfare Conditions and Environmental Impacts?
(MDPI, 2019-11-06)
We conducted a labelled discrete choice experiment (DCE) to assess consumers’ preferences and willingness to pay (WTP) for fresh hens’ eggs produced via different production systems (caged, barn, free ...
Indirect genetic effects on the relationships between production and feeding behaviour traits in growing Duroc pigs
(Cambridge University Press, 2019-10-01)
Performance and feeding behaviour traits in growing pigs could be affected by social interaction effects when animals are raised in group. So, properly knowing the genetic correlations between direct ...
Interaction of direct and social genetic effects with feeding regime in growing rabbits
(BMC, 2017-07-20)
Background: Most rabbit production farms apply feed restriction at fattening because of its protective efect against digestive diseases that afect growing rabbits. However, it leads to competitive ...
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 ...
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 ...
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 ...
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 ...
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 ...