k.a. dolecheck w.j. silvia j.m. bewley university of kentucky

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Detection Technologies and Their Economic Implications K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

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Page 1: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Estrus Detection Technologies and Their Economic Implications

K.A. Dolecheck

W.J. Silvia

J.M. Bewley

University of Kentucky

Page 2: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Estrus Detection Methods

NAHMS 2007

Other

Visual observation

Bulls

Tail chalk/paint

Pressure devices

HeatWatch

Pedometers

0 10 20 30 40 50 60 70 80 90 100

7.3

93

40.3

34.7

14.4

5.7

1.4

Percent

Me

tho

d

Page 3: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Visual Observation Problems

Cow problems

Poor footing

Inadequate space

High production

People problems

Time allocation

Accuracy

Page 4: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Secondary signs of estrus

Endocrine signs

Page 5: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Page 6: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Secondary signs of estrus

Activity

Page 7: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

System Company

AfiTag/Pedometer Plus AfiMilk, Ltd.

CowScout™ GEA Farm Technologies, Inc.

HeatPhone® Medria

Heatseeker™II BouMatic™

IceQube ICE Robotics™

Lactivator Nedap

MooMonitor Dairymaster

Ai24 Semex®

HR-Tag™ SCR™

Select Detect™ Select Sires, Inc.

SensOor AGIS Automation

Track a Cow™ Animart™

Page 8: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Activity

0 10 20 30 40 50 60 70 80 90 100

110

120

0

20

40

60

80

100

Time in Hours

Ac

tiv

ity

Estrus

Page 9: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Secondary signs of estrus

Activity

Rumination

Page 10: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Rumination

0 10 20 30 40 50 60 70 80 90 100

110

120

0102030405060708090

100

Time in Hours

Ru

min

ati

on

ACTIVITY

RUMINATION Estrus

Page 11: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Secondary signs of estrus

Activity

Rumination

Body temperature Rectal Vaginal Reticular Tympanic

Page 12: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Vaginal TemperatureTe

mpe

ratu

re

Time

Page 13: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Secondary signs of estrus

Activity

Rumination

Body temperature

Endocrine signs

Progesterone levels

Page 14: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

OVULATION

-4 -3 -2 -1 0

ONSET

31 +/- 8h

24 +/- 6h

LH

ESTRUS

93 +/- 11h

Progesterone

Page 15: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Opportunities

Estrus associated changes

Standing behavior

Secondary signs of estrus

Activity

Rumination

Body temperature

Endocrine signs

Progesterone levels

Other opportunities

Heart rate

Feed intake

Lying vs. standing time

Milk yield

Vaginal conductivity

Page 16: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky
Page 17: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Herd Dependent

Herd is the biggest factor determining if a system will work

Starting point

Management

Page 18: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Investment Analysis of Automated Estrus Detection Technologies

K.A. Dolecheck, G. Heersche Jr., and J.M. Bewley

University of Kentucky

Page 19: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Objective

Develop a decision-making tool

User-friendly

Farm-specific

Multiple technologies

Dashboard tools provide interactive interfaces for analysis and decision support

Page 20: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Model Outputs

Reproductive performance

Days open (French and Nebel, 2003)

Investment analysis

Years to break even

Net present value

Page 21: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

CalculationsNet Present Value

Present value of cash inflows minus present value of cash outflows

Accounts for timing of revenues and cash flows

Good investment: Net present value ≥ 0

System net present value determined by considering the value associated with a change in days open

Page 22: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

CalculationsOther Considerations

Accounts for costs associated with:

Pre-investment estrus

detection method

Semen usage

Pregnancy diagnosis

10 year investment period

Page 23: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Limitations

Investment analysis does not consider:

Additional benefits of technologies

Changes in heifer inventory

Effect on quality of producer’s life

Page 24: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Tabs organize information

Description and instructions for user

www2.ca.uky.edu/afsdairy/HeatDetectionTechnologiesDashboard available at: www2.ca.uky.edu/afsdairy/HeatDetectionTechnologies

Page 25: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Hover buttons explain inputs and results

Inputs adjustable in multiple ways

www2.ca.uky.edu/afsdairy/HeatDetectionTechnologiesDashboard available at: www2.ca.uky.edu/afsdairy/HeatDetectionTechnologies

Page 26: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Compare up to 3 different technologies

www2.ca.uky.edu/afsdairy/HeatDetectionTechnologiesDashboard available at: www2.ca.uky.edu/afsdairy/HeatDetectionTechnologies

Page 27: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology names appear here

Net present value shown visibly as either good (green) or bad (red)

Black box and “Best Option” indicate the highest net present value

www2.ca.uky.edu/afsdairy/HeatDetectionTechnologiesDashboard available at: www2.ca.uky.edu/afsdairy/HeatDetectionTechnologies

Page 28: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Example Analysis

Average United States Holstein dairy herd

DairyMetrics (Dairy Records Management Systems, Raleigh, NC, USA)

Food and Agricultural Policy Research Institute (FAPRI; Columbia, MO, USA)

Published literature

Compare high vs. low

Initial investment cost

Cow unit cost

Estrus detection rate

Page 29: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Farm Specific InputsHerd Assumptions

Input Value Source

Herd size 313 DairyMetrics, July 2013

Milk price $0.43/kg FAPRI, 2013

Milk yield 33.7 kg/cow/d DairyMetrics, July 2013

Feed cost $0.20/kg DM FAPRI, 2013

Page 30: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Farm Specific InputsCulling & Replacement Assumptions

Input Value Source

Culling rate 38.1% DairyMetrics, July 2013

Days in milk do not breed

300 d Model assumption

Cull milk yield 15.88 kg/d Model assumption

Replacement cost $1785 Liang, 2013

Cull cow value $1.67/kg FAPRI, 2013

Page 31: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Farm Specific InputsReproduction Assumptions

Input Value Source

Voluntary waiting period 58.4 d DairyMetrics, July 2013

Current estrus detection rate 49.4% DairyMetrics, July 2013

Current 1st service conception rate

37.8% DairyMetrics, July 2013

Page 32: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Farm Specific InputsReproduction Assumptions

Input Value Source

Cost of 1st service semen $15 Model assumption

Cost of ≥ 2nd service semen $10 Model assumption

Cost of pregnancy detection $3/head Galvao et al., 2013

Pre-investment estrus detection method

Visual Model assumption

Page 33: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Technology Inputs

Initial investment

$5,000 (Low)

$10,000 (High)

Unit price

$50 (50)

$100 (100)

Estrus detection rate

70% (70)

90% (90)

Page 34: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

System InputsInitial Costs

System Start-Up Cost

Unit Cost

Total Initial Investment

Low-50 $5,000 $50 $13,465

Low-100 $5,000 $100 $21,930

High-50 $10,000 $50 $18,465

High-100 $10,000 $100 $26,930

Low: $5,000 initial investmentHigh: $10,000 initial investment50: $50 unit price100: $100 unit price

Page 35: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Other Assumptions

Discount rate = 8.0% (Bewley et al., 2010)

Every animal requires a unit

Replace 5% of units each year

Page 36: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Analysis Outcome

Page 37: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Analysis ResultsDays Open

49%

70%

90%

0 20 40 60 80 100 120 140 160

150

125

109

Days Open

Es

tru

s D

ete

cti

on

Ra

te

Page 38: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Analysis ResultsYears to Break Even

High-100-70

High-50-70

Low-100-70

Low-50-70

High-100-90

High-50-90

Low-100-90

Low-50-90

0.0 0.5 1.0 1.5 2.0 2.5 3.0

2.5

2.4

2.0

1.9

1.8

1.7

1.4

1.4

Years to Break Even

Te

ch

no

log

y E

xa

mp

leLow: $5,000 initial investmentHigh: $10,000 initial investment50: $50 unit price100: $100 unit price70: 70% estrus detection rate90: 90% estrus detection rate

Investment-Unit Price-EDR

Page 39: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Analysis ResultsNet Present Value

High-100-70

Low-100-70

High-50-70

Low-50-70

High-100-90

Low-100-90

High-50-90

Low-50-90

$0 $50,000 $100,000 $150,000

$58,582

$63,582

$64,188

$69,188

$94,300

$99,300

$99,906

$104,906

Net Present Value

Te

ch

no

log

y E

xa

mp

leLow: $5,000 initial investmentHigh: $10,000 initial investment50: $50 unit price100: $100 unit price70: 70% estrus detection rate90: 90% estrus detection rate

Investment-Unit Price-EDR

Page 40: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Additional AnalysisBreak Even Estrus Detection Rate

Technology estrus detection rates vary under different management situations

Goal: Determine lowest estrus detection rate at which investment in each system is still profitable

Change each system’s estrus detection rate until net present value is equal to $0

Page 41: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Additional AnalysisBreak Even Estrus Detection Rate

Low-50

High-50

Low-100

High-100

51% 52% 53% 54% 55%

52.8%

53.5%

53.6%

54.4%

Estrus Detection Rate

Te

ch

no

log

y E

xa

mp

le

Low: $5,000 initial investmentHigh: $10,000 initial investment50: $50 unit price100: $100 unit price

Investment-Unit Price

Page 42: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Additional AnalysisGood Reproductive Management Situation

Investment profitability is dependent on pre-investment reproductive management

Goal: Determine how investment profitability changes with improved beginning estrus detection

95th percentile = 76%(DairyMetrics)

Page 43: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Additional AnalysisGood Reproductive Management Situation

Low-50-90

High-50-90

Low-100-90

High-100-90

Low-50-70

High-50-70

Low-100-70

High-100-70

-$60,000 -$40,000 -$20,000 $0

-$1,622

-$6,622

-$7,228

-$12,228

-$37,340

-$42,340

-$42,946

-$47,946

Net Present Value (Thousands)

Techn

olo

gy E

xamp

le

Low: $5,000 initial investmentHigh: $10,000 initial investment50: $50 unit price100: $100 unit price70: 70% estrus detection rate90: 90% estrus detection rate

Investment-Unit Price-EDR

Page 44: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Conclusions

Change in days open is affected by estrus detection rate

Years to break even is affected by:

1) Estrus detection rate

2) Initial investment cost

3) Cow unit cost

Net present value is affected by:

1) Estrus detection rate

2) Cow unit cost

3) Initial investment cost

Page 45: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Conclusions

Starting point determines investment profitability

Accurate information is essential for accurate results

Producer

Technology manufacturers

Dairy producers considering purchasing an automated estrus detection technology system can use this model as a decision support tool

Page 46: K.A. Dolecheck W.J. Silvia J.M. Bewley University of Kentucky

Questions?

Karmella Dolecheck411 W.P. Garrigus BuildingLexington, KY [email protected]

Dashboard available at:www2.ca.uky.edu/afsdairy/HeatDetectionTechnologies

Jeffrey Bewley407 WP Garrigus BuildingLexington, KY [email protected]