Methodologies to account for crossbred and genomic data in selection for feed efficiency

The general objective of this work was to develop methodologiesto account for crossbred and genomic data for a sustainable selection for feed efficiency. These activities were essentially developed in task 5.4 of the Feed-a-Gene project. Specifically, we have worked on three main topics of research: Assess the contribution of the additive and dominance genetic effects to the phenotype expression of several traits, especially those related to feed efficiency, within crossbred and purebred animals, and the genetic correlation to the corresponding traits between the two populations, Identify optimal genomic prediction models, both in terms of efficiency in calculations and accuracy of estimates, that enable unbiased and accurate estimation of the genetic parameters and genomic breeding values that are required for implementation in practice, Combine all available and newly generated knowledge in terms of genetic variances and economic values to propose a new index to improve feed efficiency.

or

Detail description

1/1

or

Contribution detail info

Location
  • Europe
Authors
  • Jaap Van Milgen
Purpose
  • Dissemination
File type
Document
File size
1.89 MB
Created on
13-01-2020
Origin language
English
Official project website
Feed-a-Gene
License
CC BY

Related content

IMPROVE BIOSECURITY WITH YOUR MULTI-ACTOR FARM HEALTH TEAM

Document

This factsheet explains how bringing a team of farmer, vet, feed and farm advisors together is sharing different sources of knowledge together, making the Multi Actor Farm Health approach an effective approach to improve biosecurity on poultry farms

COOPID infographic – Livestock sector

Image

An infographic providing a compact overview on Polish company approach to recycle organic waste and by-products.

Biosecurity Audit Tool

Slideshow/Presentation

This factsheet presents the biosecurity audit tool Biocheck Ugent, that can give a biosecurity scoring in poultry farms to measure biosecurity level.