Economics of production diseases, WBS2012, Lisbon
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Transcript of Economics of production diseases, WBS2012, Lisbon
The costs of production diseases
Henk Hogeveen
Who am I
Farm boy (dairy farm, 45 cows)
Animal science at Wageningen Univesity
●Epidemiology (simulation model of management around cystic ovaries)
●Economics (long term effect of herd health management programs)
PhD at Vet Medicine (AI programs to diagnose mastitis)
Working in field of animal health managementIn between Wageningen University and Faculty of Vet. Med.
●@henkhogeveen
●animal-health-management.blogspot.com
In the old days ....
Things were different (better?)
Authority
Fixed prices
Hardly any competition
You did what you liked
Currently
Competition
●Between vets
●From others
Well educated farmers
No fixed prices
Agricultural prices underunder pressure (free markets)
Result ….
Farmers management is more and more aimed at optimization of health, not maximisation of health
Vets function on equal level: discussion instead directive
One additional argument: money
So, vets need to know about economics of disease and economics of management
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Resource input (R)
Milk
out
put
(Q)
Farm production
Farm with fixed land and buildings (constraints):
Output is a function of input
Resource input (R)
Milk
outp
ut
(Q)
Effect of disease
-More resources for same production
- Less production with same resources
- optimal level of production changes as well
I
What’s the point?
Production function differ from farm to farm, dependent on:
●Management skills
●Farm seize
●Intensity
●…..
And ….
●Effects of disease differ from farm to farm
●Effects of disease differ based on prices
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Economic effects of diseases
Economic effects = losses + expenditures
Losses (decrease in production)
●Decreased production level
●Discarded milk
●Changes in milk price (milk quality)
●Culling
Expenditures (additional resources)
●Drugs
●Veterinarian
●Labour
●Preventive measures
IntroductionLosses
Expenditures
Optimization of expendituresand losses
Disease treatments
Treatment of clinical cases is an expenditure
●Used to optimize total losses
●Studies on optimal treatment are madee.g. Steeneveld et al., 2011; 2007, Swinkels et al., 2005a; 2005b
But in prevention, treatment is seen as part of costs of a case (failure)
Therefore we optimize Failure costs vs Preventive measures
How to study economics of prevention?
Start with costs of disease (failure costs)●Losses●Associated expenditures (treatments etc)●Quite some information is known
Calculate costs of prevention ●Investments●Expdenditures●Labour (value?)●Relative straightforward work
Estimate economic improvement●Difference between old and new situation●Difficult !!!
IntroductionFailure
costs
Preventive measures
Old situation
New situation
Benefits
Costs
Benefits exceed costs
IntroductionFailure
costs
Preventive measures
Old situation
New situationBenefits
Costs
Costs exceed benefits
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Based on work of:
Huijps et al., 2008, 2010Hogeveen et al., 2010van Soest et al., 2011
Recent literature (€)
Bar
2008
Halasa
2009
Hagnestam-Nielsen
2009
Huijps
2008
Level Cow Cow Cow-year Cow
Milk production losses - 11 78 36
Labour - 11 - 4
Treatment - 14 - 15
Culling - 46 - 22
Death - 0 - 0
Veterinarian - 2 - 1
Milk quality - 0 - 0
Materials - 0 - 0
Diagnostics - 0 - 0
Total 61 84 97 78
Research
Default cost calculations
●Based on literature and expertise
●Clinical mastitis: Yearly incidence
●Subclinical mastitis: Bulk milk somatic cell count
●Conservative estimations
Data collection
●64 dairy farms
●Data entry at “open farm days”
●Assistance from researcher
Theory vs practise (€/cow/year)
DefaultMean Low High
Production losses subclinical 16 36 6.8 72.4
Production losses clinical 23 10 2.5 22
Veterinarian (€/cow/year) 0.3 0.6 0 2.5
Drugs 6 10.6 3.5 26.7
Discarded milk 9 7.9 2.5 17.9
Culling 22 17.9 0 46
Penalties 0 0.30 0 2.4
Labour 4 3.8 0 15
Total economic losses 81 78 31.4 153.8
Farm specific
Theory vs practise (€/cow/year)
DefaultMean Low High
Production losses subclinical 16 36 6.8 72.4
Production losses clinical 23 10 2.5 22
Veterinarian (€/cow/year) 0.3 0.6 0 2.5
Drugs 6 10.6 3.5 26.7
Discarded milk 9 7.9 2.5 17.9
Culling 22 17.9 0 46
Penalties 0 0.30 0 2.4
Labour 4 3.8 0 15
Total economic losses 81 78 31.4 153.8
Farm specific
Total costs of mastitis
Failure costs + expenditures preventive measures
Questionaire dataset of 189 farms (Santman-Berends et al., 2011)
●General questions
●Livestock management
●Lactating cows
●Milking process
●Feed
Pathogens and clinical mastitis on 120 farms
MPR data
Calculations of failure costs clinical mastitis, subclinical mastitis
Preventive measures
Cleaning cubicles
Cleaning lanes
Drying off
Pre-stripping
Clean dirty udders
Milker gloves
Clean cluster after clinical case
Milk high SCC cow last
Post milking teat disinfection
Fixing cows after milking
Total costs mastitis (€/cow)
Average
5% percentile
95% percentile
Clinical mastitis 62 16 151
Subclinical mastitis 14 9 21
Failure costs mastitis 76 26 164
Prevention costs 88 43 131
Costs of masitits 164 99 281
Failure costs vs preventive costs
- 18 management measures (Huijps et al., 2010)
- Quantify effect- 436 scientific papers (1996-2006)- 43 relevant and useful
- Expert sessions- Effect 100 % contagious- Effect 100 % environmental- Efffect on BMSCC- Efffect on clinical mastitis
Cost-effectiveness of preventive measures
Additional
expenditures
Reduced
losses Net benefit
Milk cows with clinical mastitis last 37 16 -21
Milk cows with subclinical mastitis last 104 20 -84
Use of separate cloths during udder preparation 26 9 -17
Wash dirty udders during udder preparation 3 9 6
Prestripping 34 9 -25
Use of milkers’ gloves during milking 1 9 8
Post milking teat disinfection 31 31 -0
Back-flushing clusters after milking a cow with clinical mastitis 1 11 10
Back-flushing clusters after milking a cow with subclinical mastitis 123 15 -108
Replace teat cup liners in time 13 11 -2
Use of a treatment protocol 7 15 8
Application of blanket dry cow therapy 9 36 27
Keep cows standing after milking 2 12 10
Feed additional dry cow minerals 13 13 0
Prevent overcrowding 23 13 -10
Clean boxes 54 15 -39
Clean yards 51 8 -43
Optimize feed ration 24 13 -11
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Based on work of:
Bruijnis et al., 2010; 2012Verhoef, 2012
A healthy claw
Different foot disorders
Sole haemorrhages and White line disease
Interdigital dermatitis/
heel horn erosion
Sole ulcerInterdigital hyperplasia
(corns, tyloma)
Digital dermatitis (Mortellaro’s disease) Interdigital phlegmon
Simulation model
PCUL
PSC
PCHPHCPHSPSH
No foot disorder, healthy (H)
Clinical foot disorder
(C)
Subclinical foot disorder
(S)
Culled(Cul)
Modelling assumptions
Assumptions (Dutch circumstances):
●cubicle housing
●concrete floor
●pasturing
●two foot trimming interventions/year
7 different foot disorders
Add consequences to simulation model
PCUL
PSC
PCHPHCPHSPSH
No foot disorder, healthy (H)
Clinical foot disorder
(C)
Subclinical foot disorder
(S)
Economic consequences:- Milk production losses- Prolonged calving
interval- Labor dairy farmer- Costs foot trimmer- Costs veterinarian- Treatment- Discarded milk
- Welfare impact: - Estimated pain
Economic consequences: - Milk production
losses- Prolonged calving
interval- Welfare impact:
- Estimated pain
Economic consequence:- RPO-value
Culled(Cul)
Economic effects
Total costs (default input, The Netherlands)
Per farm (65 cows) : €3,474 per year (€2,282 to €4,965)
Per cow : €53 per cow/year
Costs of subclinical foot disorders: 32%
Average clinical foot disorder: €67/case
Average subclinical foot disorder: €13/case
Digital dermatitis gave highest costs (high incidence, high clinical prevalence)
Cost components
Milk production losses
Prolonged calving interval
Labour of the dairy farmer
Discarded milk
TreatmentVisit of veterinarian
Visit of foot trimmer
Culling
Differences between farms (€/cow/year)
Parameter Average min – max
Losses of decreased milk production 20 10.3 – 24.3
Clinical 14 8.0 – 19.1
Subclinical 6 2.3 – 12.4
Losses of discarded milk 0.3 0 – 1.7
Losses of prolonged calving interval 7 3.7 – 9.6
Clinical 5 2.7 – 6.3
Subclinical 3 1.0 – 4.0
Losses of advanced culled cows 8 0 – 27.8
Cost of treatment 9 1.0 – 18.2
Total costs 45 23.1– 60.4
Differences between farms (€/cow/year)
Parameter Average min – max
Losses of decreased milk production 20 10.3 – 24.3
Clinical 14 8.0 – 19.1
Subclinical 6 2.3 – 12.4
Losses of discarded milk 0.3 0 – 1.7
Losses of prolonged calving interval 7 3.7 – 9.6
Clinical 5 2.7 – 6.3
Subclinical 3 1.0 – 4.0
Losses of advanced culled cows 8 0 – 27.8
Cost of treatment 9 1.0 – 18.2
Total costs 45 23.1– 60.4
Preventive measures
Measures:
●Additional foot trimming
●Feeding management
●Feed supplements
●Floor hygiene (scraper, robot, manual)
●Foot bath
●Improved lying surface of cubicles (straw, mattrass)
●Rubber flooring
●Reduce overstocking
Effects based on scientific literature (if available) and expertise
Costs and benefits
Costs Benefits1 Net costs
Intervention measure (€/cow/yr) (€/cow/yr) (€/cow/yr)
Additional foot trimming 7 8 -1
Feeding management 34 5 29
Feeding supplement 20 3 17
Floor hygiene, manure scraper 25 12 14
Floor hygiene, manure robot 39 12 27
Floor hygiene, manual 56 12 45
Foot bath 34 3 31
Lying surface, bedding 19 19 -1
Lying surface, mattress 13 19 -7
Rubber flooring 28 11 17
Stocking density 16 17 0
Net costs vs welfare
Rubfl
Stdens
Lymat
Lybed
Hygscr
Hygrob
Hygman
Fbath
Ftrim
Feedman
Feedsup
0
1
2
3
4
5
6
-10 0 10 20 30 40 50
Net costs (€)
Wel
fare
ben
efit
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Based on work of:
Woolderink et al., 2002
Background of study
Stochastic model
Herd level (65 dairy cows)
Input based on literature
Cost of ketosis
807
751
12078 166
Milk production
Culling
Mastitis
Treatmet
LDA
Calving interval
Average: € 1778 per farm/year
Variation: € 1588 – 3506
Clinical: € 361 per case
Subclinical: € 73 per case
Metabolic disorders
No other estimates in scientific literature
Other estimates are made
●Consultants
●Doubtful
Outline
Production economics
Cost factors of production diseases
Production diseases
●Mastitis
●Claw health
●Metabolic disorders
Final remarks
Only three production diseases
What about
●Young stock raising
●Culling policy
●Reproductive management
●……….
Under estimation of costs by farmers
0
20
40
60
80
100
120
140
160
180
200
0 20 40 60 80 100 120 140 160 180 200
Expected costs (€ per cow)
Rea
l co
sts
(€/c
ow
)
46 under estimators!!!!!Mastitis
Youngstock raising (€ per heifer)Our calculated costs: € 1.540 (Mohd Nor et al., 2012Farmers estimates:Total costs: € 1.559 (800 – 2.862)Without labour € 1.121 (532 – 1.764)Without labour and housing: € 879 (319 – 1.477)
Accuracy of farmers' estimation
-€ 2.000,00
-€ 1.500,00
-€ 1.000,00
-€ 500,00
€ 0,00
€ 500,00
€ 1.000,00
€ 1.500,00
Dif
fere
nce
bet
wee
n e
stim
atio
n
and
rea
l co
sts
(eu
ros)
Herd health programs
Herd health & management programs are aimed at improving herd situations
Knowledge of economics is then essential
Improvement of disease situation improves value of herd health programs (see work of Derks et al., 2012)
There is more than economics
Attitude explains mastitis situation (Jansen et al., 2009)
Campaigns do have an influence (Jansen et al., 2010)
Cost factors are not regarded as being equal (Huijps et al, 2009)
Sometimes farmers behave irrational (Huijps et al., 2010)
Economics to support decisions
Production diseases costs much money
●Most expensive cattle disease present
●Costs are often failure costs
●Total costs (including prevention) are much higher
●Differences and underestimation between farmers -> farm specific calculations
More than only money to motivate farmers
Decision support is weighing costs of prevention vs reduction of failure costs
●That is up to you, veterinarians!!!
●Tool on www.bec.wur.nl -> research -> decision support tools
Thank you for your attention