real-time analyses of bhb in milk can monitor ketosis and...
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Real-time analyses of BHB in milk can monitor ketosis and it’s impact on reproduction in dairy cows
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Jens Yde BlomDVM, PhDLattec I/S
Hillerød, DenmarkCo‐author:
Carsten RidderJohn M. ChristensenChristina A. Petersen
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Outline of presentation
Definitions Herd Navigator® – the biomodel and ketosis risk
Ketosis in three selected herds Implications of subclinical ketosis for production and reproductive performance
Conclusions
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Definitions of ketosis Ketosis, a common disorder in cows within the first month after calving, defined by elevated levels of ketone bodies in blood (Gold Standard for ketosis), urine and milk
Prevalence: Vary among herds, 4‐20 %. Recent European study: 21.8 % (11.2‐36.6 %) (Suthar et. al. 2013)Clinical signs: Reduced appetite, milk yield drop, loss of weight, hypoglycemia and hyperketonemia.
Subclinical ketosis: β‐Hydroxy Butyrate (BHB)levels: Blood: ≥ 1.2 mM , milk: ≥ 0.12 mM
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Reliability of milk BHB for ketosis monitoring:
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‐0.4
‐0.2
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0.6
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‐4 ‐2 1 2 3 4 5 6 9 11
Correlation (r)
Day Relative To Feed Restriction (d = 0)
Pearson's Correlation Between Blood and Milk BHB Over Time
Early
Mid‐Late
Feed Restriction
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Bjerre‐Harpøth et al. 2013, unpublished
Time windowof interest
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General layout of Herd Navigator®
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Herd Navigator is a proactive herd management system. Reproduction (progesterone)
-Heat-Pregnancy-Reproduction
disorders
Health- Mastitis (LDH)- Ketosis (BHB)
Feed Balance (urea)-Detecting disproportions of protein and energy in feed ration
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Ketosis monitoring: The biomodel
6Nielsen et al., J. Dairy Sci., 88, 2005, 2144..
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Ketosis monitoring: The output
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Milk Yield
Ketosis RiskMilk Yield
Ketosis Risk
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Purpose of study, Materials and Methods Purpose of study◦ Analyse prevalence of subclinical ketosis in high yielding dairy herds using Herd Navigator®
◦ Analyse relationships between ketosis and reproductive performance
Participating herds (convenience sample):◦ Herd 1 (DK): 278 cows, 4 VMS, 278 cows ◦ Herd 2 (NL): 2 X 10 parlour , 151 cows◦ Herd 3 (CA): 2 VMS, 126 cows◦ Continuous measurements of BHB and progesterone (P4)◦ Data from 2012, analysed in Herd Navigator ® biomodels and graphically displayed in MATLAB®
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Prevalence of ketosis and Post Partum Anoestrus (PPA)
Herd 1 Herd 2 Herd 3# cows 278 151 126Milk yield per cow/year 10,900 8,900 10,500BHB samples per year 8,948 3,116 3,411% BHB samples above threshold(”BHB load”)
1.8 14.2 10.3
# ketosis alarms per 100 calvings 3 29 38# early alarms (<10 DIM) 48 % 48 % 51 %Start measurements for P4, DIM 30 20 60# PPA alarms per 100 calvings 23 20 4
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Prevalence of ketosis and Post Partum Anoestrus (PPA)
Herd 1 Herd 2 Herd 3Milk yield per cow/year 10,900 8,900 10,500BHB samples per year 8,948 3,116 3,411% BHB samples above threshold(”BHB load”)
1.8 14.2 10.3
# ketosis alarms per 100 calvings 3 29 38# early alarms (<10 DIM) 48 % 48 % 48 %Start measurements for P4, DIM 30 20 60# PPA alarms per 100 calvings 23 20 4
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Cumulative incidence of ketosis alarms
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1 5 9 13 17 21 25 29 33 37 41 45 49 53 57
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Lenght of involuntary waiting period
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FolCyst
PPA
Farm 1: Reproductive performance- starting point: 1st AI
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BH
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Distribution of BHB measurementsBHB load
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Distribution of BHB measurementsBHB load
Farm 2: Reproductive performance- starting point: 1st AI
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FolCyst
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Farm 3: Reproductive performance- starting point: 1st AI
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B m
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Distribution of BHB measurementsBHB load
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Conception rates (%) for 1st AI
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Healthy Ketosis Folcyst PPA
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Conclusions Continuous measurements of milk BHB aid in the detection of subclinical ketosis◦ Detection long before clinical signs expect to occur: ~50 % occur before 10 DIM◦ Validate total ”BHB‐load” to the herd – impact on herd performance
Conception rates in ketotic cows lower than in healthy cows at 1st AI
Use of on‐farm measurements can aid in elucidating underlying causes of reproductive failure
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Thank youWe strive to keep cows flying!
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