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Unpublished Paper
Breeding Value Prediction for Production Traits in Layers Using High-density SNP Markers
Animal Industry Report
  • Anna Wolc, Iowa State University
  • Christine Stricker, Applied Genetics Network
  • Jesus Arango, Hy-Line International
  • Petek Settar, Hy-Line International
  • Janet E. Fulton, Hy-Line International
  • Neil P. O'Sullivan, Hy-Line International
  • Rudolf Preisinger, Lohmann Tierzucht GbmH
  • David Habier, Iowa State University
  • Rohan L. Fernando, Iowa State University
  • Dorian J. Garrick, Iowa State University
  • Susan J. Lamont, Iowa State University
  • Jack C.M. Dekkers, Iowa State University
Extension Number
ASL R2619
Publication Date
2011
Disciplines
Topic
Poultry
Summary and Implications

Accuracy of breeding values estimated by different methods using pedigree and high-density SNP genotypes in predicting the next generation in a commercial layer breeding line was evaluated. Early and late selection was considered. Use of markers increased accuracies up to two-fold for early selection and by up to 88% for late selection.

Copyright Holder
Iowa State University
DOI
https://doi.org/10.31274/ans_air-180814-680
Language
en
Citation Information
Anna Wolc, Christine Stricker, Jesus Arango, Petek Settar, et al.. "Breeding Value Prediction for Production Traits in Layers Using High-density SNP Markers" (2011)
Available at: http://works.bepress.com/susan_lamont/22/