Valacta contributes to the sustainable development andnadgeyte/crelan/Daniel Lefebvre...

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Valacta contributes to the sustainable development andprosperity of the dairy sector through knowledge transfer, information management and analysis services

300 employees

5,200 clients

ClientSatisfaction

95%

• 215 Field (4 regions)

135 Technicians, 60 Advisors, 6 Strategic Advisors, 3 Coaches, 7 Managers

• 35 Lab0ratory• 21 IT + Customer Service• 15 Administration (incl. HR, Communication and QA)• 15 R&D

300Employees

At your service

Valacta

Forage

Lab

Milk Recording

Milk Quality

Data

Processing

Advisory Service

Economics

R&D

Nutrition

Valacta: Global Approach Model

Technical Services for Dairy ProducersMilking Supervision, Data Entry, CQM, Labour Efficiency, Measurements, Sampling

Technical

Advisory ServicesRegular -basis, Specialized, Strategic (on demand), Milk Quality.

Advice

Knowledge Transfer and DevelopmentPractical Workshops and Courses, Communication, Science and Technology Watch, Research Projects

Knowledge

Comfort and Well-being

Organic

Data Analysis

Nutrition and Management

Herd HealthEconomy

Forage Systems

Transfer

Data Sharing among Genetic Improvement Partners

Breed Associations• Pedigree Recordkeeping

• Classification

ATQIdentification

Traceability

Valacta (Vision2000)• Laboratory Analyses

• Data Collection and

Processing

• On Farm Services

Canadian Dairy Network

(CDN)• Genetic Evaluation

• Research

• Data Exchange

AISemen Sales

• Choice of Sire

Veterinarians• Health Data

2,600installations400 advisors and technicians

Lab

For Producers• Milk Recording• Payment• Quality• Illness and Gestation• Forage/Feed• Water

For Processors and Other Laboratories

• Calibration Samples• Wet Chemistry Analysis• Microbiology

Milk Recording Payment Quality

Reference/Calibration Forage/Feed Microbiology

LABORATORIES

Laboratories• Milk Recording (2.6 million samples/year)• Fat, protein, lactose, somatic cells

• Urea (57% of samples, 78% of farms)

• BHB ( 54% of samples, 70% of farms)

• ELISA: Pregnancy testing, Johne’s Disease, Leukosis

• Payment (1.1 million samples, 15/months/farm)

• Fat, protein, lactose

• Somatic Cells

• Extraneous Water

• Urea

Healthy Cows Clinical

Cases

« Tip of the

Iceberg »

The Iceberg!

Subclinical Cases

Transition Cow IndexMD

Milk recording for dry cows!

TCI of 1,000 represents an extra $450 in the current lactation.

44% of herds use TCI

Cost of Ketosis: $354 per case

61 % of

Quebec clients use Ketolab

Milk Ketone Testing by FTIR

Advantages

• Suitable for whole herd screening

• Simple for the producer

• Low cost

• Can be performed on regular intervals

• Rapid results

Disadvantage:

With monthly testing, not all cows are tested in

the period most at risk

Blood vs Milk : Test Characteristics

Denis-Robichaud et al., 2014

Se: 84%

Sp: 96%

PPV: 84%

NPV: 96%

Tresholds

• POSITIVE ( )≥0.20 mM

• SUSPECT ( )Intermediate

• NEGATIVE ( )<0.15 mM

Milk BHB tresholds:

0

5

10

15

20

25

30

35

5 10 15 20 25 30 35

Keto

sis

Pre

vale

nc

e(%

)

DIM

Ketosis prevalence (POS + SUSP) according to parity

Multiparous

Primiparous

Average prevalence:

24.0%

MULTIPAROUS:

Average prevalence: 25.7 %

Highest prevalence: 32.8% (2nd week)

PRIMIPAROUS:

Average prevalence : 20.4 %

Highest prevalence : 33.2 % (1st week)

Valacta, 2014

a Excluding herds < 10 cows tested for BHB within the first 35 DIM; 3651 herds are included

0

20

40

60

80

100

120

140

160

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Nu

mb

er

of

herd

s

Ketosis prevalence (%)

Herd distribution for ketosis prevalence in the first 5 weeks of lactationa

Valacta, 2014

a Excluding herds < 10 cows tested for BHB within the first 35 DIM; 3651 herds are included

0

20

40

60

80

100

120

140

160

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Nu

mb

er

of

herd

s

Ketosis prevalence (%)

Herd distribution for ketosis prevalence in the first 5 weeks of lactationa

40 % of herds had a

prevalence of 20 % or less

Valacta, 2014

a Excluding herds < 10 cows tested for BHB within the first 35 DIM; 3651 herds are included

0

20

40

60

80

100

120

140

160

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Nu

mb

er

of

herd

s

Ketosis prevalence (%)

Herd distribution for ketosis prevalence in the first 5 weeks of lactationa

3.5% of herds had a

prevalence above

50%

Valacta, 2014

Impacts on Test Day Milk Yield and Components.

SE P

Milk yield (kg/d) 30.1a 32.3b 32.5b 0.2 0.001

Fat (%) 5.07c 4.62b 4.10a 0.02 0.001

Protein(%) 3.19b 3.17a 3.25c 0.01 0.001

SCC (1000 cells) 360c 318b 232a 23 0.001

Urea (mg N/dL) 9.2a 10.0b 10.5c 0.1 0.001

Protein:Fat ratio 0.65a 0.71b 0.82c 0.01 0.001

Transition Cow Index1 -68a 202b 189b 40 0.001

1 Multiparous cows onlyValacta, 2014

154,0

146,6

130,7

115

120

125

130

135

140

145

150

155

160

165

BHB pos BHB susp BHB neg

Da

ys

Days Open

a

b

b

P (catBHB) = 0.001

P (Parity*catBHB) = 0.09

Valacta, 2014

0

10

20

30

40

50

60

70

80

90

100

0 50 100 150 200 250 300

% c

ow

s p

regn

ant

DIM

Pregnancy rate according to BHB status

NEG SUSP POS

51.6%

60.3%

69.6%

Valacta, 2014

Effect on Reproduction

Impact on survival

0

20

40

60

% v

ach

es r

éfo

rmée

s

Culling by 100 JEL

POS SUSP NEG

0

10

20

30

40

50

% v

ach

es r

éfo

rmée

s

Culling by lactation

POS SUSP NEG

Valacta, 2014

Association with disease

Koeck et al. 2014

Valacta’s Strategy for Ketolab

• Ketolab is used as a screening tool to

evaluate ketosis prevalence at the herd

level

– Ketolab is not an individual diagnosis

tool

– High BHB does not necessarily mean

that this specific cow is sick, but it is an

important risk factor for other problems

Ketolab in Quebec

>70% of Valacta herds have registered

for the service

>55% of the samples analysed each month

88% of farms using advisory service

57% of farms not using advisory service

5,65,86,06,26,46,66,8

5,5 6,0 6,5 7,0

Predicted ruminal pH

Chouinard et Gervais 2016

0

1

2

3

4

5

Stocking density Feeding frequency Fat yield Protein yield

HDN LDN Woolpert et al. 2016

ThankYou!

Valacta.comdlefebvre@valacta.com

@DanielMLefebvre

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