Social genetic effects on feed intake in pigs: from feeding visits to total intake
Nunez, P.; Vitezica, Z. G.; Legarra, A.; Zubiri Gaitan, A.; Negro, S.; Casellas, J.; Varona, L.; Ibanez-Escriche, N.
Show abstract
Social genetic effects can substantially influence phenotypes in animals and plants and the study of them is of interest. Group housing in animals for example, in pigs provide an ideal framework for studying interactions among individuals. In animals, the genetic of social effects has been studied by simplifying the underlying interactions for example, by assuming that all the individuals in the group contribute equally to the social environment. This homogeneous behaviour is not observed in real conditions. Here, we address this issue showing that identification of interacting individuals is feasible in pig behaviour during growth, and we propose a model that leads to more accurate modelling of social genetics. Our approach infers the strength of interaction via time interval between visits of animals to automatic feeders. This measure of strength was then used in a reaction norm model to evaluate the genetic determinism of social effects. We also build a framework to transform variance components estimated for a trait continuously measured, such as feed intake per visit, into variance of total or aggregated trait e.g. during the growth period. Including social effects improves the fitting of the models. Visit-based social interaction was highest at short time intervals, decreasing rapidly and becoming negligible after 80 seconds. Variance components for the aggregated trait the total feed intake support the contribution of the social interactions. Our approach allows more precise understanding of social effects through individual feeding events and a measure of interaction strength, and further translates these into in an aggregated phenotype of interest.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Modelling, prediction and design of national COVID-19 lockdowns by stringency and duration 93%
- Theoretical investigation of pre-symptomatic SARS-CoV-2 person-to-person transmission in households 93%
- Clustering of susceptible individuals within households can drive measles outbreaks: an individual-based model exploration 92%
Similar papers in this journal
Similar papers in this journal
- COVID-19 in Scottish care homes: A metapopulation model of spread among residents and staff 93%
- Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data 92%
- Responsible modelling: Unit testing for infectious disease epidemiology 92%
Similar papers in this journal
Similar papers in this journal
- Evolutionary dynamics in structured populations under strong population genetic forces 88%
- Exclusion and genomic relatedness methods for assignment of parentage using genotyping-by-sequencing data 88%
- QTG-Finder: a machine-learning algorithm to prioritize causal genes of quantitative trait loci in Arabidopsis and rice 86%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.