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Maximizing Dairy Farm Efficiency. Ewen Ferguson OABP/OABA Guelph April 29-2004. Troubleshooting Farm Problems with Records. Not always a problem-validation Records will allow you to ask questions—not give answers Be careful of snapshots—look for history. Records. Easily accessible
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Maximizing Dairy Farm Efficiency Ewen Ferguson OABP/OABA Guelph April 29-2004
Troubleshooting Farm Problems with Records • Not always a problem-validation • Records will allow you to ask questions—not give answers • Be careful of snapshots—look for history
Records • Easily accessible • Easily understood • Meaningful—believable
Record Use • Monitor/troubleshoot • Production/components • Health/culling • Udder health • Reproduction • Benchmarking—yourself/others • List generator • To do lists
DC 305 • How I use to monitor monthly • Things I look at • How I make it easy • How I use to troubleshoot • Look at exceptions • Develop action points
Monthly overview:Things I look at • Monitor (monitor) • Test day summary (tdsum1) • “Feeding guide” • Herd Repro Inventory • 305M graph (grrh305) • Test day SCC (highscc)
Making it easy • Linked reports!!! • Single keystroke • Office staff can generate reports
Troubleshooting • Monitor/troubleshoot • Production/components • Health/culling • Udder health • Reproduction • Benchmarking—yourself/others
Production/Components Production: (over time / test day) • Herd variations • Lactation Group variations • Individual variations Components: • High/Low BF • Ratio
Sub Clinical Ketosis (Duffield) • Gold Standard—Serum BHBA>1400umol/l • Ketotest100umol/L BHBA in milk (80% sens/spec) • Goal: <20% SCK • Look at proportion of cows with a protein: fat ratio <.75 on 1st DHI test and BCS > 4 • High Risk Herds: >40% PFR <.75 >10% BCS >4
Health/Culling • Many health events can be recorded • We do a very poor job • Missing a large opportunity to improve herd health • Need to establish guidelines and disease definition • Need to standardize
Events • Poorly utilized • Get CSR’s to enter (or on farm) • Close the loop • Get advisor to discuss/comment • Very powerful motivator
When and why do cows leave the herd? L %id age dim milk pctf pctp scc disp for (ec=14) (ec=15) dim<305 age>12 by stage\da
25% of cows leaving dairy herds in Minnesota between 1999 and 2001, did so in the 1st 60 days. Godden 2003
Udder Health • Sub clinical • Excellent reports • Passive • Clinical • Like events—under utilized • Active—someone needs to record and enter • Need to standardize
New Chronic Cured OK
Chronic <10% New<10% Cured 70% Dry Cow OK 70%
Cured Chronic New OK
Chronic Cured New OK
Reproduction • Excellent reports but… under-utilized • Pregnancy rates not well understood • Need to enter accurate data • Need to enter all breedings and confirmed pregnancies • Important to monitor
Repro Commands • Bredsum\ev50 for lact>0\d280 • “v” sets VWP • Report • Graph • Add “r” for regression graph (evr)