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 paper

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 - Auckland, New Zealand
Duration: 11 Feb 201816 Feb 2018

Conference

ConferenceWorld Congress on Genetics Applied to Livestock Production
Abbreviated titleWCGALP 2018
CountryNew Zealand
CityAuckland
Period11/02/1816/02/18

Fingerprint

Values
kinship
Israeli
evaluation

Cite this

Stoop, W. M., Calus, M. P. L., Schrooten, C., Gombacsi, P., Weller, J. I., & de Jong, G. (2018). Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application - 1 [157] WCGALP.
Stoop, W.M. ; Calus, M.P.L. ; Schrooten, C. ; Gombacsi, P. ; Weller, J.I. ; de Jong, G. / Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities. Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application - 1. WCGALP, 2018.
@inproceedings{2d9979d5e8f641c882664a16a0669aec,
title = "Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities",
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.",
author = "W.M. Stoop and M.P.L. Calus and C. Schrooten and P. Gombacsi and J.I. Weller and {de Jong}, G.",
year = "2018",
month = "2",
day = "11",
language = "English",
booktitle = "Proceedings of the 11th World Congress on Genetics Applied to Livestock Production",
publisher = "WCGALP",

}

Stoop, WM, Calus, MPL, Schrooten, C, Gombacsi, P, Weller, JI & de Jong, G 2018, Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities. in Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application - 1., 157, WCGALP, World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand, 11/02/18.

Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities. / Stoop, W.M.; Calus, M.P.L.; Schrooten, C.; Gombacsi, P.; Weller, J.I.; de Jong, G.

Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application - 1. WCGALP, 2018. 157.

Research output: Chapter in Book/Report/Conference proceedingConference paper

TY - GEN

T1 - Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities

AU - Stoop, W.M.

AU - Calus, M.P.L.

AU - Schrooten, C.

AU - Gombacsi, P.

AU - Weller, J.I.

AU - de Jong, G.

PY - 2018/2/11

Y1 - 2018/2/11

N2 - 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.

AB - 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.

M3 - Conference paper

BT - Proceedings of the 11th World Congress on Genetics Applied to Livestock Production

PB - WCGALP

ER -

Stoop WM, Calus MPL, Schrooten C, Gombacsi P, Weller JI, de Jong G. Genomic Breeding Value Estimation in countries without large-scale genotyping: merging two training populations to increase genomic reliabilities. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application - 1. WCGALP. 2018. 157