Genomic predictions for dry matter intake using the international reference population of gDMI

Y. de Haas; J.E. Pryce; M.P.L. Calus; B. Hulsegge; D.M. Spurlock; D.P. Berry; E. Wall; P. Lovendahl; K. Weigel; K. MacDonald; F. Miglior; N. Krattenmacher; R.F. Veerkamp

Genomic predictions for dry matter intake using the international reference population of gDMI

Y. de Haas, J.E. Pryce, M.P.L. Calus, B. Hulsegge, D.M. Spurlock, D.P. Berry, E. Wall, P. Lovendahl, K. Weigel, K. MacDonald, F. Miglior, N. Krattenmacher, R.F. Veerkamp

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Abstract

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecountries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands,New Zealand, United Kingdom and two institutions in the United States were combined to estimatethe accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, andranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with uniquephenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates furtherinternational collaboration.

Original language	English
Title of host publication	Proceedings of the The 2014 Interbull Meeting
Pages	94-99
Volume	48
Publication status	Published - 2014
Event	The 2014 Interbull Meeting, Berlin, Germany - Duration: 20 May 2014 → 21 May 2014

Conference

Conference	The 2014 Interbull Meeting, Berlin, Germany
Period	20/05/14 → 21/05/14

Access to Document

https://journal.interbull.org/index.php/ib/article/download/1353/1424

1 Active
3 Finished

Breed4Food (WUR)
1/01/13 → …
Project: Other
AF-16022 Breed4Food II (BO-63-001-009, BO-47-001-021, BO-22.04-025-001, BO-22.04-011-001, BO-22.02-011-001)
Veerkamp, R.
1/01/14 → 31/12/21
Project: EZproject
B4F Product segmentation (KB-12-006.03-009)
Kaal-Lansbergen, L.
30/07/12 → 31/12/15
Project: EZproject

Cite this

de Haas, Y., Pryce, J. E., Calus, M. P. L., Hulsegge, B., Spurlock, D. M., Berry, D. P., Wall, E., Lovendahl, P., Weigel, K., MacDonald, K., Miglior, F., Krattenmacher, N., & Veerkamp, R. F. (2014). Genomic predictions for dry matter intake using the international reference population of gDMI. In Proceedings of the The 2014 Interbull Meeting (Vol. 48, pp. 94-99) https://journal.interbull.org/index.php/ib/article/download/1353/1424

@inproceedings{79aaf54ab54a41a8a7126ba23e60f614,

title = "Genomic predictions for dry matter intake using the international reference population of gDMI",

abstract = "In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecountries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands,New Zealand, United Kingdom and two institutions in the United States were combined to estimatethe accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, andranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with uniquephenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates furtherinternational collaboration.",

author = "{de Haas}, Y. and J.E. Pryce and M.P.L. Calus and B. Hulsegge and D.M. Spurlock and D.P. Berry and E. Wall and P. Lovendahl and K. Weigel and K. MacDonald and F. Miglior and N. Krattenmacher and R.F. Veerkamp",

year = "2014",

language = "English",

volume = "48",

pages = "94--99",

booktitle = "Proceedings of the The 2014 Interbull Meeting",

note = "The 2014 Interbull Meeting, Berlin, Germany ; Conference date: 20-05-2014 Through 21-05-2014",

}

de Haas, Y, Pryce, JE, Calus, MPL , Hulsegge, B, Spurlock, DM, Berry, DP, Wall, E, Lovendahl, P, Weigel, K, MacDonald, K, Miglior, F, Krattenmacher, N & Veerkamp, RF 2014, Genomic predictions for dry matter intake using the international reference population of gDMI. in Proceedings of the The 2014 Interbull Meeting. vol. 48, pp. 94-99, The 2014 Interbull Meeting, Berlin, Germany, 20/05/14. <https://journal.interbull.org/index.php/ib/article/download/1353/1424>

TY - GEN

T1 - Genomic predictions for dry matter intake using the international reference population of gDMI

AU - de Haas, Y.

AU - Pryce, J.E.

AU - Calus, M.P.L.

AU - Hulsegge, B.

AU - Spurlock, D.M.

AU - Berry, D.P.

AU - Wall, E.

AU - Lovendahl, P.

AU - Weigel, K.

AU - MacDonald, K.

AU - Miglior, F.

AU - Krattenmacher, N.

AU - Veerkamp, R.F.

PY - 2014

Y1 - 2014

N2 - In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecountries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands,New Zealand, United Kingdom and two institutions in the United States were combined to estimatethe accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, andranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with uniquephenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates furtherinternational collaboration.

AB - In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecountries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands,New Zealand, United Kingdom and two institutions in the United States were combined to estimatethe accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, andranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with uniquephenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates furtherinternational collaboration.

M3 - Conference paper

VL - 48

SP - 94

EP - 99

BT - Proceedings of the The 2014 Interbull Meeting

T2 - The 2014 Interbull Meeting, Berlin, Germany

Y2 - 20 May 2014 through 21 May 2014

ER -

Genomic predictions for dry matter intake using the international reference population of gDMI

Abstract

Conference

Access to Document

Fingerprint

Projects

Breed4Food (WUR)

AF-16022 Breed4Food II (BO-63-001-009, BO-47-001-021, BO-22.04-025-001, BO-22.04-011-001, BO-22.02-011-001)

B4F Product segmentation (KB-12-006.03-009)

Cite this