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Kamphuis & huijps, ECPLF, milan, 2015 ss
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Transcript of Kamphuis & huijps, ECPLF, milan, 2015 ss
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Using successful inseminations to evaluate
sensitivity of automated heat detection systems
Claudia Kamphuis, WURKirsten Huijps, CRV
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Challenges of detection-Time consuming-Error prone-Increased herd sizes
The importance of heat detection
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New Zealand survey 500 farmers25% wants it7% has it70% listed it in top 3 of technologies that gained benefit for farm(Edwards et al., 2014, APS)
Survey 212 farmers stating to have sensor technology41% of AMS farmers has it70% of CMS farmers has it(Steeneveld and Hogeveen, 2015, JDS)
Survey 109 farmers globally41% has itRated as useful to very useful(Borchers and Bewley, 2015, JDS)
35% of US respondents(Bewley, 2014, EAAP/EU-PLF conference)
Adoption rates
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What are the success factors?
Associated with clear management actions
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What are the success factors?
Associated with clear management actions
Investment is economically beneficial (Rutten et al., 2014)
for Dutch circumstances
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What are the success factors?
Associated with clear management actions
Investment is economically beneficial (Rutten et al., 2014)
for Dutch circumstances
Sensitivity 80% with specificity 95% (Rutten et al., 2013, JDS)
performance is OK
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But a specificity of 95%....
Still requires visual confirmation
701-05-2023
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But a specificity of 95%....
Still requires visual confirmation
100 cow herd:~1 cow in heat / day99 cows not in heat / day5 falsely alerted cows / day
801-05-2023
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Alerts around P4 determined heat events(Kamphuis et al., 2014, EAAP/EU-PLF, Copenhagen, Denmark)
84% of all alerts generated +/- 3 days around P4 heatOnly 30 P4 heats included
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Use successful inseminations
Avoid high costs and intensiveness of P4 method
Relatively easy way to increase numbers
Additional: study differences in performance between parities and lactation stages
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Data collection: January-July 2014
Insemination data from CRVHeat alert data from systems’ software
Farm A Farm B
Herd size 450 250
Milking system Conventional AMS
Milk production (kg/cow/year)
9,500 9,800
Heat detection system A and B B and C
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Defining successful inseminations
For cows with just 1 insemination
31 July1 January
Insemination>56 d
Successful GS+
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Defining successful inseminations
For cows with >1 insemination
Insemination
>56 d
Successful GS+
Insemination
≤56 d
Unsuccessful
31 July1 January
Insemination
≤ 56 d
Unsuccessful
Insemination
>56 d
SuccessfulGS+
Insemination
≤56 d
Unsuccessful
1 January 31 July
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Matching inseminations with alerts
Insemination data at daily level
Heat alerts per h or per 2h time blocks‘summarized at daily level’≥1 alert per day is an alerted day
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Data collection: January-July 2014
Farm A Farm B
Herd size 450 250
Milking system Conventional AMS
Milk production (kg/cow/year)
9,500 9,800
Heat detection system A and B B and C
Cows with ≥1 successful inseminations
145 119
GS positive inseminations
153 129
Heat alerts A: 352B: 532 B: 117
C: 887
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Matching inseminations with alerts
Sensitivity using a 1 day time-window
GS+
day
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Matching inseminations with alerts
Sensitivity using a 2 day time-window
GS+
day
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Detection performance differed between heat detection system
Sensitivity (%)A: 31B: 58C: 92
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Detection performance differed between heat detection system
Sensitivity (%)A: 35B: 87C: 94
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Detection performance did not differ between parity / lactation stage
Sensitivity 2 day time- window
System A System B System C
Parity
1 23 85 90
2 48 90 97
≥3 36 90 94
Lactation stage
≤56 days 44 100 91
>56 days 34 87 94
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Discussion / conclusion
Lower performance of System A• consistent with EAAP/EU-PLF 2014• technical problems in data exchange
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Discussion / conclusion
Lower performance of System A
Sensitivity may be overestimatedSummarizing h / 2h alerts to daily alertsexcluding data from cows that were
not detected by a systemnot visually confirmed by farmerinseminated incorrectlynot inseminated at all
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Discussion / conclusion
Sensitivity in line with previous research (Rutten et al., JDS, 2013)
around 80-90% using a 2 day time-window
System C also alerts often 1 day after a successful insemination
No apparent differences in parity/lactation stageno apparent need for specific algorithmsfocus on getting more accurate and precise alerts
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Ongoing data collection
Confirm or refute current findings statistically
Analyze data using hourly or 2hourly alert basis
Where to from here
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Thank you for your attention
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