Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

R.B. Stephansen; P. Martin; B. Gredler-Grandl; C.I.V. Manzanilla Pech; G. Sahana; V. Ducrocq; C. Baes; F. Schenkel; R.F. Veerkamp; J. Lassen

doi:10.3920/978-90-8686-940-4_73

Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

R.B. Stephansen, P. Martin, B. Gredler-Grandl, C.I.V. Manzanilla Pech, G. Sahana, V. Ducrocq, C. Baes, F. Schenkel, R.F. Veerkamp, J. Lassen

Animal Breeding & Genomics

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

Abstract

To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1st and 2nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.

Original language	English
Title of host publication	Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Subtitle of host publication	Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
Editors	R.F Veerkamp, Y. de Haas
Place of Publication	Wageningen
Publisher	Wageningen Academic Publishers
Pages	340-343
Number of pages	4
ISBN (Electronic)	9789086869404
DOIs	https://doi.org/10.3920/978-90-8686-940-4_73
Publication status	Published - 2022
Event	World Congress on Genetics Applied to Livestock Production: WCGALP 2022 - Rotterdam, Netherlands Duration: 3 Jul 2022 → 8 Jul 2022

Conference

Conference	World Congress on Genetics Applied to Livestock Production: WCGALP 2022
Country/Territory	Netherlands
City	Rotterdam
Period	3/07/22 → 8/07/22

Access to Document

10.3920/978-90-8686-940-4_73Licence: CC BY

https://edepot.wur.nl/586583Licence: CC BY

AF-EU-17007 GenTORE (BO-63-101-003, BO-47-002-014, BO-22.04-006-014)
de Haas, Y.
1/01/17 → 31/12/22
Project: EZproject

Cite this

Stephansen, R. B., Martin, P., Gredler-Grandl, B., Manzanilla Pech, C. I. V., Sahana, G., Ducrocq, V., Baes, C., Schenkel, F., Veerkamp, R. F., & Lassen, J. (2022). Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. In R. F. Veerkamp, & Y. de Haas (Eds.), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges (pp. 340-343). [73] Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-940-4_73

Stephansen, R.B. ; Martin, P. ; Gredler-Grandl, B. et al. / Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges. editor / R.F Veerkamp ; Y. de Haas. Wageningen : Wageningen Academic Publishers, 2022. pp. 340-343

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title = "Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries",

abstract = "To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1st and 2nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.",

author = "R.B. Stephansen and P. Martin and B. Gredler-Grandl and {Manzanilla Pech}, C.I.V. and G. Sahana and V. Ducrocq and C. Baes and F. Schenkel and R.F. Veerkamp and J. Lassen",

year = "2022",

doi = "10.3920/978-90-8686-940-4_73",

language = "English",

pages = "340--343",

editor = "R.F Veerkamp and {de Haas}, Y.",

booktitle = "Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)",

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Stephansen, RB, Martin, P, Gredler-Grandl, B , Manzanilla Pech, CIV, Sahana, G, Ducrocq, V, Baes, C, Schenkel, F, Veerkamp, RF & Lassen, J 2022, Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. in RF Veerkamp & Y de Haas (eds), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges., 73, Wageningen Academic Publishers, Wageningen, pp. 340-343, World Congress on Genetics Applied to Livestock Production: WCGALP 2022, Rotterdam, Netherlands, 3/07/22. https://doi.org/10.3920/978-90-8686-940-4_73

Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. / Stephansen, R.B.; Martin, P.; Gredler-Grandl, B. et al.
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges. ed. / R.F Veerkamp; Y. de Haas. Wageningen: Wageningen Academic Publishers, 2022. p. 340-343 73.

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

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T1 - Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

AU - Stephansen, R.B.

AU - Martin, P.

AU - Gredler-Grandl, B.

AU - Manzanilla Pech, C.I.V.

AU - Sahana, G.

AU - Ducrocq, V.

AU - Baes, C.

AU - Schenkel, F.

AU - Veerkamp, R.F.

AU - Lassen, J.

PY - 2022

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N2 - To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1st and 2nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.

AB - To optimize breeding for feed efficiency, dry matter intake data from 3,967 Holstein cows with 131,234 weekly records from Denmark, France, The Netherlands, and Canada were combined. A random regression model was fitted to 1st and 2nd parity data for dry matter intake, energy corrected milk and body weight. Results showed that genetic residual feed intake is heritable in both parities, with an average heritability of 0.21. Genetic correlations across lactation and parities showed moderate to high estimates between mid and late lactation within parity. Early lactation had low genetic correlation with mid and late lactation. The genetic correlations between parities were around zero at all lactation stages. These findings show the importance of data collection and modelling at all lactation stages and parities.

U2 - 10.3920/978-90-8686-940-4_73

DO - 10.3920/978-90-8686-940-4_73

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BT - Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)

A2 - Veerkamp, R.F

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PB - Wageningen Academic Publishers

CY - Wageningen

T2 - World Congress on Genetics Applied to Livestock Production: WCGALP 2022

Y2 - 3 July 2022 through 8 July 2022

ER -

Stephansen RB, Martin P, Gredler-Grandl B , Manzanilla Pech CIV, Sahana G, Ducrocq V et al. Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. In Veerkamp RF, de Haas Y, editors, Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges. Wageningen: Wageningen Academic Publishers. 2022. p. 340-343. 73 doi: 10.3920/978-90-8686-940-4_73

Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

Abstract

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Projects

AF-EU-17007 GenTORE (BO-63-101-003, BO-47-002-014, BO-22.04-006-014)

Cite this