1. PhD. Gabriele Marchesi – Herd Management Specialist
Milkline
PhD. Gabriele Marchesi – Herd Management Specialist

2. Summary Milkline Company; Introduction; Dairy farm technologies
Future consideration
Conclusion

3. Milkline Company Born: 2013 (official data); 150 cows in lactation;
Farm tests
Born: 1968
Head quake Located: Piacenza, Northen Italy;
Milkline LSO: Russia and Romania;
Dealer: France, Spain, Denmark, Germany, Bulgaria, Finland, Japan, Italy, Morocco

4. Introduction

5. …

6. Milking parlour – MADE in ITALY
Rotary; Swing over; Side by side; Tandem; Herringbone. …Milking parlor ad hoc!!

7. Feeding station cow and calf
Automatic feeding station per cows;
Automatic milk stations per calf;
Milk taxi: transport milk to the calf;
Igloo-system for outdoor calf barn.

8. Hygiene line

9. Spare parts Milking units;
Milk unit components (Liners, cluster, teat cup..);
Pulsators and accessories;
Milk equipment (Milk buckets, components..);
Milk recording and mastitis detection.

10. Dairy farm technologies
MAIN TOPICS
Animal identification;
Milk Production;
Activity status;
Health status.
HERD MANAGEMENT SOFTWARE
(+Smartphone App)

11. Animal identification
- RFID;
Infra Red;
Long distance (Wireless).

12. Animal identification
The identification system is divided in two technologies:
Infra Red (IR);
Long Distance (LD)
The main differences are:
Reading distance of the tags (with LD we can reach 1ha);
Reading time (with LD the tags are read every 20min);
Improved technology;
New Rumination and activity approach;
LD is easier and faster to install then IR

13. LD parts BU500 (Cod. 0701150) IDU510 (Cod. 0701153) TAG HR LD
TAG H LD
(Cod )

14. LD system benefits
Predicting the time of calving is crucial for the health of newborn calves and their dams in difficult calving situations. Prediction also helps to prevent injuries to the newborn caused by the dam or the environment;
Fast detection of Health disorder;
Health condition affect the rumination and by its monitoring diseases are early detectable
The effectiveness of the treatment is evaluable through the rumination monitoring
Reducing time for Heat detection;
The LD system with DFII offer to the farmer the possibility to early detect feeding errors (groups report) and nutritional disorders (cow vs group);
Send SMS or to more than 8 user.

15. Milk production Milking controllers – P4C Milkline Milk meter;
Additional sensors...check the blood, mastitis, kicking off, protein, fat…

16. Summary P4C Introduction; P4C - The Advanced Milking Control:
Overmilking prevention;
Subclinical mastitis detection.
P4C and DFII;
P4C - Codes

17. P4C – The Advanced Milking Control!
P4C is composed by:
MilproP4C: Controller;
Servopuls: Smart pulsator;
Dynamic P4C: Cluster.
Single Quarter Pulsation Management:
Pulsator with 4 independent channels
Fast and complete controller including advanced milking point
Flow pattern Analysis :
Made for on line flow detection. CE simple and reliable!
Easy Automatic data recording

18. Individual Quarter Milking – The P4C
Goals:
Prevention: Skip Overmilking individually on quarters;
Early sub-clinical mastitis detection.

19. P4C - First Goal
Prevention: Skip Overmilking individually on Quarters No Hyperkeratosis!

20. Focus on one of main factors influencing health status of the udder:
Introduction
OverMilking:
Focus on one of main factors influencing health status of the udder:
Overmilking it’s a condition that takes place when the milk flow from the teat sphincter is higher than the milk flow from the mammary gland into the teat cistern.
Overmilking is related to the milking of each individual quarter and to the physiological, morphological and sanitary condition of the udder/quarter.
The main OverMilking effect is a quick change in teat end condition due to Hyperkeratosis - excessive keratin growth. This is a normal physiological skin reaction to the forces applied to the skin during milking.

21. Udder health - Overmilking
Intramammary Infections (IMI)
Hyperkeratosis
Overmilking starts when the milk flow to the teat cistern is less than the flow out of the teat
canal.Overmilking is related to the milking of each individual quarter and to the physiological, morphological and sanitary condition of the udder/quarter. SPHINCTER
The main OverMilking effect is a quick change in teat end condition due to Hyperkeratosis - excessive keratin growth. This is a normal physiological skin reaction to the forces applied to the skin during milking.
(Rasmussen M.D., 2004)

22. P4C – Quarter Take Off Detect milk ejection per each quarter;
Advanced single quarter management pulsation;
Semi take-off;
Massage phase.
In case of end of milk ejection from a certain quarter, the P4C force a pulsation stop on the quarter itself keeping the liner in massage phase. Each 5 seconds the P4C control unit starts a single pulsation phase (1s) to avoid liner slip

23. P4C Test at Kentucky University
The graph shows the positive effect of P4C introduction on teat end condition on the UK herd: 55 milking cows, 2 months milking.
The test still ongoing. New results and additional data are coming.
These results demonstrate an improvement in teat end condition for Holstein cows after installation of an individual quarter pulsation milking system. The changes in teat end hyperkeratosis observed in this study may be attributed to decreased overmilking. Individual quarter pulsation systems may improve teat end condition.
(Sterret et al., 2009)

24. Mastitis detection at early stage: Subclinical Mastitis
P4C – Second Goal
Mastitis detection at early stage: Subclinical Mastitis

25. P4C Mastitis detection per single quarter; Real time data;
Specific algorithm;
Message display.

26. P4C – Test in commercial farms
University of Milan results presented at NMC

27. P4C Alarm Management Protocol
The P4C is a specific tool that can give to the farmer the possibility to collect information about inflammation in each single cow
Moreover this data mast be read one by one. The farmer can share this information with the VET in order to prevent problems.
If the Mastitis alert will come for more then 3 milking and the CMT is negative take care of that cow. The P4C is able to see some mastitis problems almost 3 days before but you must take care of milk production. Moreover if you are using the HR tag you are ale to compare the P4C information with the health status of the cows. So if one cow is going in the “Mastitis report” with have a 90% of possibility that this cow will has the mastitis.
Always evaluate if the cow the opportunity of medical intervention

28. P4C and DFII
P4C report: level of infection per each single quarter in each milking shift;
P4C report + Health report: increase the mastitis detection;
P4C report and milk production variation report: that helps to understand the level of mastitis;
All the historical data are stored on the DFII server.
DataFlowII allows a dramatic increase of sensibility and specificity of the system on mastitis detection.
DataFlowII allows a precise and immediate evaluation of the sanitary history of each cow

29. P4C

30. Activity status Heat detection; Good insemination time;
Reproduction problems; …

31. Heat detection Heatime S&A system; DataFlow 2 (with herd management);
Other system in the market…

32. COW HEAT DISTRIBUTION DURING THE DAY
Heat detection challenge: time for estrus detection
COW HEAT DISTRIBUTION DURING THE DAY
HOUR OF THE DAY HEATS (% total)
06 –
12 –
18 –
24 –
(from Monetti, 1998)

33. Heat detection challenge: time for estrus detection
Today’s cows shows fewer signs of estrus and for shorter duration.
“It has been demonstrated that the average estrus period lasts for about 9.5 hours during which the cow mounts other cows 10.1 times on average. Only six mounts lasted more than 2 seconds. These data illustrate that the opportunity to identify a cow in estrus is relatively short (i. e., 24.1 seconds per 21 day cycle).»
1 Michaelis et al., (G): 159 – 165

34. Survey question and answer categories
Heat detection challenge: time for estrus detection
Daily farm works in Germany without Heatime
Survey question and answer categories
Herd size
small (n= 136)
medium (n= 76)
large (n= 12)
all herds (n= 219)
68 ± 15 cows
124 ± 24 cows
257 ± 87cows
96 ± 54 cows
Heat detection system
before
after
Time needed (min/day)
42.3
29.8
57.5
43.6 97
61.7
50.3
35.5
Hormone protocols
28.7%
21.3%
38.0%
32.4%
41.7%
33.3%
25.6%
1 Michaelis et al., (G): 159 – 165

35. Rumination can help to detect heats …
New approach
Rumination can help to detect heats …
Doron Bar – SCR Israel

36. Detection of a heat with the Heatime HR
The “Diamond”

37. Health status Labor/distress alert; Health monitoring;
Nutrition monitoring.

38. Taking care of the single cow: our strategy!
Health
Milking
Reproduction
Database Management System
Look into a single cow

39. THANKS FOR YOUR ATTENTION!!