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

Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additive genetic variance and candidate genes.

Bianca Ferreira Olivieri (3228960)
Maria Eugênia Zerlotti Mercadante (3044550)
Joslaine Noely dos Santos Gonçalves Cyrillo (3044544)
Renata Helena Branco (3228957)
Sarah Figueiredo Martins Bonilha (3044556)
Lucia Galvão de Albuquerque (3044559)
Rafael Medeiros de Oliveira Silva (3142059)
Fernando Baldi (2833280)

October 2016

<p>Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additiv...

Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results

Gebreyesus, Grum
Bovenhuis, Henk
Lund, Mogens S.
Poulsen, Nina A.
Sun, Dongxiao
Buitenhuis, Bart

January 2019

Background: Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due t...

Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population

Zipeng Zhang
Shaolei Shi
Qin Zhang
Gert P. Aamand
Mogens S. Lund
Guosheng Su
Xiangdong Ding

February 2023

The size of the reference population is critical in order to improve the accuracy of genomic predict...

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

Haas, de, 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.

January 2014

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecount...

Genomic prediction for dry matter intake of dairy cattle from an international data set consisting of research herds in Europe, North America and Australasia

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

January 2015

With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (...

Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia

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

August 2018

Financial support for gDMI from CRV (Arnhem, the Netherlands), ICBF (Cork, Ireland), CONAFE (Madrid,...

Genomic selection for dry matter intake using a combined European and Australian reference population

Haas, de, Y.
Pryce, J.
Calus, M.P.L.
Wall, E.
Coffey, M.P.
Daetwyler, H.D.
Hayes, B.J.
Veerkamp, R.F.

January 2012

Dairy cow dry matter intake (DMI) data from Australia (AU), the United Kingdom (UK) and the Netherla...

Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets

Haas, Y., de
Calus, M.P.L.
Veerkamp, R.F.
Wall, E.
Coffey, M.P.
Daetwyler, H.D.
Hayes, B.J.
Pryce, J.

January 2012

With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (...

Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

Gredler-Grandl, B.
Raymond, B.
Schopen, G.C.B.
Chitneedi, P.K.
Cai, Z.
Manzanilla Pech, C.I.V.
Iso-Touru, T.
Fischer, D.
Boloormaa, S.
Chud, T.S.
Schenkel, F.S.
de Haas, Y.
Veerkamp, R.F.
Bouwman, A.C.

January 2022

We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutc...

Accuracies of breeding values for dry matter intake using nongenotyped animals and predictor traits in different lactations

Manzanilla-Pech, C.I.V.
Veerkamp, R.F.
Haas, de, Y.
Calus, M.P.L.
Napel, ten, J.

January 2017

Given the interest of including dry matter intake (DMI) in the breeding goal, accurate estimated bre...

Genomic prediction of feed intake using predictor traits

Manzanilla Pech, C.I.V.
Veerkamp, R.F.
Haas, Y., de
Calus, M.P.L.
Napel, J., ten

January 2018

Genomic prediction of feed intake using predictor traits A total of 77,640 weekly records on dry mat...

Use of whole-genome sequence data for genomic prediction across populations and species

Raymond, Biaty

January 2020

The availability of whole genome sequence data presents an opportunity to improve the accuracy of ge...

Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traits

Pryce, J. E.
Gonzalez-Recio, O.
Thornhill, J. B.
Marett, L. C.
Wales, W. J.
Coffey, M. P.
de Haas, Y.
Veerkamp, R. F.
Hayes, B. J.

January 2014

Validating genomic prediction equations in independent populations is an important part of evaluatin...

Short communication : Validation of genomic breeding value predictions for feed intake and feed efficiency traits

Pryce, J.E.
Wales, W.J.
Haas, Y., de
Veerkamp, R.F.
Hayes, B.J.
Coffey, M.P.
Marett, L.C.
Bornhill, J.B.
Gonzalez-Recio, O.

January 2014

Validating genomic prediction equations in independent populations is an important part of evaluatin...

Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population

Pszczola, M.J.
Veerkamp, R.F.
Haas, Y., de
Wall, E.
Strabel, T.
Calus, M.P.L.

January 2013

The genomic breeding value accuracy of scarcely recorded traits is low because of the limited number...

Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additive genetic variance and candidate genes.

Bianca Ferreira Olivieri (3228960)
Maria Eugênia Zerlotti Mercadante (3044550)
Joslaine Noely dos Santos Gonçalves Cyrillo (3044544)
Renata Helena Branco (3228957)
Sarah Figueiredo Martins Bonilha (3044556)
Lucia Galvão de Albuquerque (3044559)
Rafael Medeiros de Oliveira Silva (3142059)
Fernando Baldi (2833280)

October 2016

<p>Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additiv...

Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results

Gebreyesus, Grum
Bovenhuis, Henk
Lund, Mogens S.
Poulsen, Nina A.
Sun, Dongxiao
Buitenhuis, Bart

January 2019

Background: Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due t...

Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population

Zipeng Zhang
Shaolei Shi
Qin Zhang
Gert P. Aamand
Mogens S. Lund
Guosheng Su
Xiangdong Ding

February 2023

The size of the reference population is critical in order to improve the accuracy of genomic predict...

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

Haas, de, 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.

January 2014

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecount...

Genomic prediction for dry matter intake of dairy cattle from an international data set consisting of research herds in Europe, North America and Australasia

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

January 2015

With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (...

Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia

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

August 2018

Financial support for gDMI from CRV (Arnhem, the Netherlands), ICBF (Cork, Ireland), CONAFE (Madrid,...

Genomic selection for dry matter intake using a combined European and Australian reference population

Haas, de, Y.
Pryce, J.
Calus, M.P.L.
Wall, E.
Coffey, M.P.
Daetwyler, H.D.
Hayes, B.J.
Veerkamp, R.F.

January 2012

Dairy cow dry matter intake (DMI) data from Australia (AU), the United Kingdom (UK) and the Netherla...

Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets

Haas, Y., de
Calus, M.P.L.
Veerkamp, R.F.
Wall, E.
Coffey, M.P.
Daetwyler, H.D.
Hayes, B.J.
Pryce, J.

January 2012

With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (...

Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

Gredler-Grandl, B.
Raymond, B.
Schopen, G.C.B.
Chitneedi, P.K.
Cai, Z.
Manzanilla Pech, C.I.V.
Iso-Touru, T.
Fischer, D.
Boloormaa, S.
Chud, T.S.
Schenkel, F.S.
de Haas, Y.
Veerkamp, R.F.
Bouwman, A.C.

January 2022

We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutc...

Accuracies of breeding values for dry matter intake using nongenotyped animals and predictor traits in different lactations

Manzanilla-Pech, C.I.V.
Veerkamp, R.F.
Haas, de, Y.
Calus, M.P.L.
Napel, ten, J.

January 2017

Given the interest of including dry matter intake (DMI) in the breeding goal, accurate estimated bre...

Genomic prediction of feed intake using predictor traits

Manzanilla Pech, C.I.V.
Veerkamp, R.F.
Haas, Y., de
Calus, M.P.L.
Napel, J., ten

January 2018

Genomic prediction of feed intake using predictor traits A total of 77,640 weekly records on dry mat...

Use of whole-genome sequence data for genomic prediction across populations and species

Raymond, Biaty

January 2020

The availability of whole genome sequence data presents an opportunity to improve the accuracy of ge...

Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traits

Pryce, J. E.
Gonzalez-Recio, O.
Thornhill, J. B.
Marett, L. C.
Wales, W. J.
Coffey, M. P.
de Haas, Y.
Veerkamp, R. F.
Hayes, B. J.

January 2014

Validating genomic prediction equations in independent populations is an important part of evaluatin...

Short communication : Validation of genomic breeding value predictions for feed intake and feed efficiency traits

Pryce, J.E.
Wales, W.J.
Haas, Y., de
Veerkamp, R.F.
Hayes, B.J.
Coffey, M.P.
Marett, L.C.
Bornhill, J.B.
Gonzalez-Recio, O.

January 2014

Validating genomic prediction equations in independent populations is an important part of evaluatin...

Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population

Pszczola, M.J.
Veerkamp, R.F.
Haas, Y., de
Wall, E.
Strabel, T.
Calus, M.P.L.

January 2013

The genomic breeding value accuracy of scarcely recorded traits is low because of the limited number...

Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additive genetic variance and candidate genes.

Bianca Ferreira Olivieri (3228960)
Maria Eugênia Zerlotti Mercadante (3044550)
Joslaine Noely dos Santos Gonçalves Cyrillo (3044544)
Renata Helena Branco (3228957)
Sarah Figueiredo Martins Bonilha (3044556)
Lucia Galvão de Albuquerque (3044559)
Rafael Medeiros de Oliveira Silva (3142059)
Fernando Baldi (2833280)

October 2016

<p>Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additiv...

Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results

Gebreyesus, Grum
Bovenhuis, Henk
Lund, Mogens S.
Poulsen, Nina A.
Sun, Dongxiao
Buitenhuis, Bart

January 2019

Background: Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due t...

Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population

Zipeng Zhang
Shaolei Shi
Qin Zhang
Gert P. Aamand
Mogens S. Lund
Guosheng Su
Xiangdong Ding

February 2023

The size of the reference population is critical in order to improve the accuracy of genomic predict...

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

Abstract

Extracted data

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

Abstract

Extracted data

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