A multiple regression approach for calculating most probable producing ability of beef cows

This is the catalogue record for a paper the old Livestock Library listed. We have not written a summary of it yet. The panel gives its full citation and, where we could confirm one, a link to where it can be read today.

It belongs to the AAABG Conference Proceedings collection, published in the Proceedings of the Australian Association of Animal Breeding and Genetics.

Other papers by A.E. McClintock and co-authors

• Desired gains index research shows why BLUP changes the maths of breeding goalsSummary
  G.H. Crow, S.A. Barwick, M. Schneeberger and K. Hammond · 1991 · Selection indices to produce desired gains
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• BESSiE a program for multivariate linear model BLUP and bayesian analysis of large scale genomic data
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• Genetic analyses on carcase characters of Australian Wagyu beef cattle
  Y.D. Zhang, B. Tier and R.G. Banks · 2015 · Proc. Assoc. Advmt. Anim. Breed. Genet. (2015) 21: 409-412
• Using male performance to improve genomic selection for female fertility in Brahman cattle
  Y.D. Zhang, D.J. Johnston, S. Bolormaa and 3 others, including B. Tier · 2013 · Proc. Assoc. Advmt. Anim. Breed. Genet. (2013) 20: 224-228
• Utility of graphics processing units for dense matrix calculations In computing and inverting genomic relationship matrices
  K. Meyer and B. Tier · 2013 · Proc. Assoc. Advmt. Anim. Breed. Genet. (2013) 20: 270-273
• The effect of imprinted genes on carcass traits in Australian Angus and Hereford cattle
  B. Tier and K. Meyer · 2011 · Proc. Assoc. Advmt. Anim. Breed. Genet. (2011) 19: 63-66
• Beef cattle genetic evaluation in the genomics era
  D.J. Johnston, B. Tier and H.-U. Graser · 2011 · Proc. Assoc. Advmt. Anim. Breed. Genet. (2011) 19: 279-286

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