WCGALP 2018

Introduction to The World Congress on Genetics Applied to Livestock Production

This congress is the premier event for researchers and professionals involved in the genetic improvement of livestock. The World Congress on Genetics Applied to Livestock Production (WCGALP) is the leading international conference for livestock genetics and is held every four years.  Delegates gather from around the world to attend the scientific program and to network with colleagues. This 11th WCGALP builds on previous successful congresses in Madrid (Spain, 1974 and 1982), Lincoln (USA, 1986), Edinburgh (UK, 1990), Guelph (Canada, 1994), Armidale (Australia, 1998), Montpellier (France, 2002), Belo Horizonte (Brazil, 2006), Leipzig (Germany, 2010) and Vancouver (Canada, 2014). 

Hendrix Genetics is proud to be the Platinum Sponsor for this important conference. Our belief in Better Breeding Today for a Brighter Life Tomorrow will be well represented in Auckland.  

WCGALP 11

Get a sneak peak at some of the papers being presented by our team and partners

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Susceptibility to pre-natal stress in laying hens

This study provides more insight into how different variables affect the overall health of future generations of laying hens. 

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Turkeys Genomic Application Partnership Program

After receiving substantial funding from Genome Canada in the Spring of 2017, the turkey genomics selection project is in full gear with multiple papers already set to be presented at the World Conference on Genetics Applied to Livestock Production (WCGALP) 2018 in New Zealand.

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Improving breeding to combat Amoebic Gill Disease in Salmon

Hendrix Genetics, along with its partners, work to use animal breeding to combat AGD in salmon. This work has implications for not just animal breeding, but the protein value chain as a whole. 

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Hendrix Genetics swine geneticists innovate for efficiency and results

Innovative breakthrough in swine genetics to be presented at WCGALP in New Zealand. This work has allowed genetic evaluations to take place much faster without sacrificing accuracy. 

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