J. Anim Sci.
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J. Anim Sci. 1989. 67:3223-3242.
© 1989 American Society of Animal Science
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Adapting Best Linear Unbiased Prediction (BLUP) for Timely Genetic Evaluation: II. Progeny Traits in Multiple Contemporary Groups within a Herd1

Donna L. Lofgren2, Dewey L. Harris3, Terry S. Stewart2 and Allan P. Schinckel2

Purdue University, West Lafayette, IN 47907 and U.S. Department of Agriculture,4, Clay Center, NE 68933

Abstract

The second step of a procedure to partially circumvent the voluminous calculations for some BLUP (Best Linear Unbiased Prediction) computing algorithms for genetic evaluation is presented. In addition, the procedure allows timely evaluations of each contemporary group. This procedure is pertinent especially for polytocous species such as swine and poultry, for which the occurrence of full-sib families makes the inclusion of dam effects in the model necessary and tests are completed throughout the year. Formulas are developed for a model including sires, dams, individuals within full-sib families and records within individuals. This model has a fundamentally hierarchical structure but includes some cross-classification. The formulas for predictors combine information across contemporary groups within a herd and incorporate relationships between sires and(or) dams in that herd. Formulas to approximate prediction error variances also are developed.

Footnotes

1 Journal Paper No. 11564 of the Purdue Agric. Exp. Sta. Joint research contribution from the Dept. of Anim. Sci., Purdue Univ. and the Production Systems Res. Unit, Roman L. Hruska U.S. Meat Anim. Res. Center.

2 Dept. of Arum. Sci., Purdue Univ.

3 Production Systems Res. Unit, Roman L. Hruska U.S. Meat Anim. Res. Center.

4 ARS, Roman L. Hruska U.S. Meat Anim. Res. Center.






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