Search
Now showing items 1-10 of 12
Novel phenotypes of feeding and social behaviour and their relationship with individual rabbit growth and feed efficiency
(Elsevier, 2024-01-30)
Due to the lack of a recording system for individual consumption of group-housed rabbits, published studies about feeding behaviour are based on information recorded at the group- and not at the individual ...
Use of Bayes factors to evaluate the effects of host genetics, litter and cage on the rabbit cecal microbiota
(BMC, 2022-06-27)
Background
The rabbit cecum hosts and interacts with a complex microbial ecosystem that contributes to the variation of traits of economic interest. Although the influence of host genetics on microbial ...
Analysis of the causal structure of traits involved in sow lactation feed efficiency
(BMC, 2022-07-26)
Background
Feed efficiency during lactation involves a set of phenotypic traits that form a complex system, with some traits exerting causal effects on the others. Information regarding such ...
Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
(BMC, 2022-12-19)
Background
The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term “effect” carries a causal meaning that can be ...
The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
(Nature Research, 2021-09-30)
Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efciency.
This study aims at investigating such impact by evaluating the value added by microbial information
for ...
Social network analysis of agonistic behaviour and its association with economically important traits in pigs
(MDPI, 2020-11-16)
Aggression behaviour has several negative consequences on the performance and welfare of pigs. Here, the Social Network Analysis (SNA) approach was employed to (1) identify individual traits that describe ...
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 ...
Genome-wide association study for feed efficiency in collective cage-raised rabbits under full and restricted feeding
(Wiley, 2020-07-22)
Feed efficiency (FE) is one of the most economically and environmentally relevant traits in the animal production sector. The objective of this study was to gain knowledge about the genetic control of ...