Notes
Slide Show
Outline
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Update on All-breed Model, Fertility, Genomics
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Test Day Model - Potential Benefits
  • Increased accuracy of evaluations
    • Account for lactation curve differences
    • Account for genetic differences by parity
    • Evaluate persistency, rate of maturity
    • Include milk-only records if multi-trait
    • Possible earlier selection of bull dams
    • Promote as state-of-the-art system
  • Management effects more accurate
    • Could provide to DRPCs and herd owners
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All-Breed PTAs – March Test Run
  • Genetic correlations mostly same
    • JE increase .02 for PL and .01 for SCS
    • BS decrease .01 for fat and SCS
    • AY increase .01 for PL
  • USA bulls in top 100 differ little
    • Numbers are averages across all scales
    • JE improve for SCS, fat (26 vs 25)
    • JE decline for milk, protein (59 vs 62)
    • BS decline for yield (10 vs 15)
    • HO improve for yield (17 vs 16)
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Jersey and Swiss PTAs
  • Base cow means changed little
  • Base cow SD changed little
  • Top bulls for protein dropped by ~9 lbs, bottom bulls dropped by ~4 lbs in both breeds
  • Unknown parent grouping, heterosis may be responsible
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All-breed Trend Validation
  • 85 tests, 6 were significant (.05)
    • None significant for milk or SCS
    • 1 of 15 for fat and for protein
    • 2 of 15 for PL and for DPR
  • Increase in DPR repeatability made trend more negative, helped tests
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DPR Results – March Test Run
Holstein genetic correlations
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DPR - Top 100 bulls
Born in last 12 years, March 2007 test run
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Bulls to Genotype
60,000 SNP Project
  • Choose HO bulls with semen at BFGL
  • Genotype 1777 proven bulls
    • Born 1994-1996 with >75% REL NM
    • Plus 172 ancestor bulls born 1952-1993
  • Predict 500 bulls sampled later
    • Born 2001 with >75% REL NM
  • Include other bulls in gap years?
    • Born 1997-2000 (proven) or >2002 (waiting)
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Birth Years of Bulls to Genotype
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Contributors of DNA
500 CDDR bulls to predict, born in 2001
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Potential Results
Simulation of 10,000 SNPs
  • QTLs normally distributed, n = 100
  • Reliability vs parent average REL
    • 58% vs 36% if QTLs are between SNPs
    • 71% vs 36% if QTLs are located at SNPs
    • Higher REL if major loci and Bayesian methods used, lower if many loci (>100) affect trait
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Alleles Shared by Sibs
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Reliability from Full Sibs
Marker and QTL positions identical, sib REL = 99%