Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models

Original language	English
Pages (from-to)	407-408
Journal	Journal of Animal Breeding and Genetics
Volume	132
Issue number	6
DOIs	https://doi.org/10.1111/jbg.12192
Publication status	Published - 2015

Access to Document

• 10.1111/jbg.12192

Projects

• 1 Finished
• 1 Active

Projects per year

• Breed4Food (WUR)

  1/01/13 → …

  Project: Other

  • genomics 100%
  • prediction 84%
  • Breeding 66%
  • dairy cattle 62%
  • crossbreds 56%

• 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

  • genomics 100%
  • prediction 82%
  • Breeding 72%
  • dairy cattle 58%
  • crossbreds 56%

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Calus, M. P. L., van den Plas, J., & ten Napel, J. (2015). Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models. Journal of Animal Breeding and Genetics, 132(6), 407-408. https://doi.org/10.1111/jbg.12192

Calus, M.P.L. ; van den Plas, J. ; ten Napel, J. / Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models. In: Journal of Animal Breeding and Genetics. 2015 ; Vol. 132, No. 6. pp. 407-408.

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title = "Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models",

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journal = "Journal of Animal Breeding and Genetics",

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Calus, MPL, van den Plas, J & ten Napel, J 2015, 'Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models', Journal of Animal Breeding and Genetics, vol. 132, no. 6, pp. 407-408. https://doi.org/10.1111/jbg.12192

Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models. / Calus, M.P.L.; van den Plas, J.; ten Napel, J.

In: Journal of Animal Breeding and Genetics, Vol. 132, No. 6, 2015, p. 407-408.

Research output: Contribution to journal › Editorial › Academic

TY - JOUR

T1 - Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models

AU - Calus, M.P.L.

AU - van den Plas, J.

AU - ten Napel, J.

PY - 2015

Y1 - 2015

U2 - 10.1111/jbg.12192

DO - 10.1111/jbg.12192

M3 - Editorial

VL - 132

SP - 407

EP - 408

JO - Journal of Animal Breeding and Genetics

JF - Journal of Animal Breeding and Genetics

SN - 0931-2668

IS - 6

ER -

Calus MPL, van den Plas J, ten Napel J. Editorial: Ever-growing data sets pose (new) challenges to genomic prediction models. Journal of Animal Breeding and Genetics. 2015;132(6):407-408. doi: 10.1111/jbg.12192