Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities

W.M. Stoop, M.P.L. Calus, C. Schrooten, P. Gombacsi, J.I. Weller, G. de Jong

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

For countries without large-scale genotyping, it is a challenge to implement an effective genomic evaluation system. Breeding company CRV has merged its bull training population with two such countries to build a training population of significance, and provide genomic software. Results show 6-20 times increase in training population adding the CRV bulls. The b-factors of the model(s) improve for most traits for both countries, with an exception for Israeli calving traits. Finally, the added reliability of genomic information, measured as equivalent daughter contributions, is on average four times bigger in the training populations including the CRV bulls, as compared to using only bulls genotyped by the country itself. Validation success may depend on the heritability of the trait, the estimated between-country correlation for the trait, the kinship between the two populations, as well as between the training population and the validation population, and -implicit in that between-country kinship- the past selection criteria as reflected in the similarities in the total merit indices over time.
Original languageEnglish
Title of host publicationProceedings of the 11th World Congress on Genetics Applied to Livestock Production
Subtitle of host publicationVolume Electronic Poster Session - Theory to Application - 1
PublisherWCGALP
Number of pages6
Publication statusPublished - 11 Feb 2018
EventWorld Congress on Genetics Applied to Livestock Production (2018) - Auckland, New Zealand
Duration: 11 Feb 201816 Feb 2018

Conference/symposium

Conference/symposiumWorld Congress on Genetics Applied to Livestock Production (2018)
Abbreviated titleWCGALP 2018
Country/TerritoryNew Zealand
CityAuckland
Period11/02/1816/02/18

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