Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data

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

Abstract

Due to uncertainty about survival and future performance of replacement heifers, many farmers rear a surplus of heifers. By predicting survival at an early age, uncertainty about heifer survival could be reduced, and fewer replacement heifers would be needed. A dataset of 1907 Holstein heifers born between 2012 and 2013 with 50 genomic breeding values (GEBV) and various phenotypic variables was used to predict survival to second lactation, at two moments in life; at birth, and at age of 18 months. While it was not possible to reliably predict survival outcome of individual heifers, the surviving heifers ranked higher on average than non-surviving heifers at birth (0.87 (SD = 0.047) vs 0.84 (SD =0.059), and at 18 months (0.89 (SD =0.066) vs 0.85 (SD = 0.080). The best prediction of survival in both cases was obtained by combining phenotypic information and gEBV, demonstrating the potential for farmers to combine both information sources to predict the probability of survival for their replacement heifer management. Keywords: phenotypic prediction, dairy cattle, survival
Original languageEnglish
Title of host publicationProceedings of the 11th World Congress on Genetics Applied to Livestock Production
Subtitle of host publication Volume Electronic Poster Session - Theory to Application 2
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

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heifers
Holstein
lactation
genomics
prediction
uncertainty
farmers
information sources
breeding value
surpluses
dairy cattle

Cite this

van der Heide, E. E. M., Veerkamp, R. F., Kamphuis, C., & Ducro, B. J. (2018). Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application 2 [99]
van der Heide, E.E.M. ; Veerkamp, R.F. ; Kamphuis, C. ; Ducro, B.J. / Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data. Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application 2. 2018.
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abstract = "Due to uncertainty about survival and future performance of replacement heifers, many farmers rear a surplus of heifers. By predicting survival at an early age, uncertainty about heifer survival could be reduced, and fewer replacement heifers would be needed. A dataset of 1907 Holstein heifers born between 2012 and 2013 with 50 genomic breeding values (GEBV) and various phenotypic variables was used to predict survival to second lactation, at two moments in life; at birth, and at age of 18 months. While it was not possible to reliably predict survival outcome of individual heifers, the surviving heifers ranked higher on average than non-surviving heifers at birth (0.87 (SD = 0.047) vs 0.84 (SD =0.059), and at 18 months (0.89 (SD =0.066) vs 0.85 (SD = 0.080). The best prediction of survival in both cases was obtained by combining phenotypic information and gEBV, demonstrating the potential for farmers to combine both information sources to predict the probability of survival for their replacement heifer management. Keywords: phenotypic prediction, dairy cattle, survival",
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van der Heide, EEM, Veerkamp, RF, Kamphuis, C & Ducro, BJ 2018, Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data. in Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application 2., 99, World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand, 11/02/18.

Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data. / van der Heide, E.E.M.; Veerkamp, R.F.; Kamphuis, C.; Ducro, B.J.

Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application 2. 2018. 99.

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

TY - GEN

T1 - Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data

AU - van der Heide, E.E.M.

AU - Veerkamp, R.F.

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AU - Ducro, B.J.

PY - 2018/2/11

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N2 - Due to uncertainty about survival and future performance of replacement heifers, many farmers rear a surplus of heifers. By predicting survival at an early age, uncertainty about heifer survival could be reduced, and fewer replacement heifers would be needed. A dataset of 1907 Holstein heifers born between 2012 and 2013 with 50 genomic breeding values (GEBV) and various phenotypic variables was used to predict survival to second lactation, at two moments in life; at birth, and at age of 18 months. While it was not possible to reliably predict survival outcome of individual heifers, the surviving heifers ranked higher on average than non-surviving heifers at birth (0.87 (SD = 0.047) vs 0.84 (SD =0.059), and at 18 months (0.89 (SD =0.066) vs 0.85 (SD = 0.080). The best prediction of survival in both cases was obtained by combining phenotypic information and gEBV, demonstrating the potential for farmers to combine both information sources to predict the probability of survival for their replacement heifer management. Keywords: phenotypic prediction, dairy cattle, survival

AB - Due to uncertainty about survival and future performance of replacement heifers, many farmers rear a surplus of heifers. By predicting survival at an early age, uncertainty about heifer survival could be reduced, and fewer replacement heifers would be needed. A dataset of 1907 Holstein heifers born between 2012 and 2013 with 50 genomic breeding values (GEBV) and various phenotypic variables was used to predict survival to second lactation, at two moments in life; at birth, and at age of 18 months. While it was not possible to reliably predict survival outcome of individual heifers, the surviving heifers ranked higher on average than non-surviving heifers at birth (0.87 (SD = 0.047) vs 0.84 (SD =0.059), and at 18 months (0.89 (SD =0.066) vs 0.85 (SD = 0.080). The best prediction of survival in both cases was obtained by combining phenotypic information and gEBV, demonstrating the potential for farmers to combine both information sources to predict the probability of survival for their replacement heifer management. Keywords: phenotypic prediction, dairy cattle, survival

M3 - Conference paper

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van der Heide EEM, Veerkamp RF, Kamphuis C, Ducro BJ. Early prediction of phenotypic survival to the second lactation in Dutch and Flemish Holstein heifers using genomic and phenotypic data. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production: Volume Electronic Poster Session - Theory to Application 2. 2018. 99