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1
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2
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- 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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3
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- 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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4
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- 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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5
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- 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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6
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7
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8
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- 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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9
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10
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11
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- 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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12
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13
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