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Average daughter production of proven versus unproven bulls 44 2. Summary of Information used for various methods of breeding 47 value estimation 3. State-breed-season averages 57 4. Expected heritabilities of herdmate averages 57 5. Means and standard deviations of daughter lactation yield 59 and breeding value estimates 6. Correlations among breeding value estimates of cows 65 7. Correlations of milk breeding value estimates of cows with 67 lactation production, sire proof and maternal grandsire proof 8. Correlations of milk fat breeding value estimates of cows with 68 lactation production, sire proof and maternal grandsire proof 9. Partitioning of variance among herds, among year-seasons 71 within herd and among cows within herd-year-seasons for last lactation production 10. Partitioning of variance among herds and among cows within 71 herds for first lactation production 11. Partitioning of variance among herds, among year-seasons 73 within herds and among cows within herd-year-seasons for cow breeding value estimates of milk 12. Partitioning of variance among herds, among year-seasons 74 within herds and cows within herd-ysar-seascns for cow breeding value estimates of milk fat 13. Partitioning of variance among herds, among year-seasons 79 within herds and among cows within herd-year-seasons for sire MCC and maternal grandsire MCC 14. Among and within sire analysis for daughter production 81 15. Among and within sire analysis for breeding value 82 estimates of milk tor cows Table Page 16. Among and within sire analysis for breeding value 84 estimates of milk fat for cows 17. Intra-sire regression estimates of daughter milk pro-89 duction and breeding value estimates for milk on last lactation herdmate averages 18. Intra-sire regression estimates of daughter milk pro-90 duction and breeding value estimates for milk on last lactation adjusted herdmate averages 19. Intra-sire regression estimates of daughter milk pro-95 duction and breeding value estimates for milk on first lactation adjusted herdmate averages 20. Intra-sire regression estimates of first and second 96 lactation daughter milk production and breeding value estimates for milk on last lactation adjusted herdmate averages 21. Intra-sire regression estimates of daughter milk fat 99 production and breeding value estimates for milk fat on last lactation adjusted herdmate averages 22. Intra-sire regression estimates of daughter milk fat pro-100 duction and breeding value estimates for milk fst cn first lactation adjusted herdmate averages 23. Intra-sire correlations among breeding value estimates 102 of cows LIST OF FIGURES Figure 1. Equations used to obtain weighting for EATA 4 4+4+ If the third analysis cannot be made, then a solution is still possible. The first two models are used, and the covariance term is assumed to be zero. Using the three models, McGilliard (1952) obtained an estimate of about .33 for the genetic fraction of the herd differences. This was for butterfat production in 293 Jersey herds. Morillo and Legates (1970) used this same p...

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and Implications Most students enroll in a baccalaureate degree program to obtain a formal education that will increase the likelihood of their obtaining employment that is challenging, rewarding, and satisfying. A student's formal education becomes more meaningful when coupled with hands-on, industry-relevant training such as an internship or part-time job. We describe herein a multi-pronged strategy that we have employed to encourage undergraduate students to participate in an experiential learning opportunity as a part of their formal education. Based on student feedback and the high placement rate of our students, we conclude this approach has been highly effective.

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