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2018 © Board of Trustees of Michigan State University
Rumen Health and Milk Fat Depression
Feedworks 2018 Conference
Performance Through Science
Twin Waters Resort
Queensland, Australia
September 19-21, 2018
Adam L. Lock
Department of Animal Science
Michigan State University
2018 © Board of Trustees of Michigan State University
Milk Fat Seasonal Variation in Australia
Data Supplied by Dairy Australia
3.60
3.80
4.00
4.20
4.40
4.60
4.80
2011 2012 2013 2014 2015 2016
MilkFatContent(%)
Year
DairyNSW
GippsDairy
Murray Dairy
WestVic
3.60
3.80
4.00
4.20
4.40
4.60
4.80
January
February
M
arch
April
M
ay
June
July
AugustSeptem
ber
OctoberNovem
berDecem
ber
MilkFatContent(%)
Month
3.60
3.80
4.00
4.20
4.40
2011 2012 2013 2014 2015 2016
MilkFatContent(%)
Year
DairyNSW
GippsDairy
Murray Dairy
WestVic
2018 © Board of Trustees of Michigan State University
Annual Seasonal Challenges with Milk Fat
• Annual rhythm of milk component content (and yield) varies by
geographical location and herd
• Each herd and each cow is somewhere on a continuum
• Important to monitor milk components:
- Allow for predicting future concentrations and yields of milk components that
may be produced (managing expectations)
- Provide benchmarking for determining whether a change in components is to
be expected or it is an acute nutrition/management issue (e.g. milk fat
depression)
2018 © Board of Trustees of Michigan State University
WHEN THE COWS DROP IN
MILK FAT
2018 © Board of Trustees of Michigan State University
Milk Fat Depression
• Milk fat reduced but milk
yield and other milk
components unaffected
• It is not an overt rumen
dysfunction reducing
fiber digestion and
acetate yield
• Caused by bioactive FA
and NOT by limitations in
substrate supply
• This is a common cause
of reduced milk fat yield,
but is not meant to
explain every change in
milk fat
2018 © Board of Trustees of Michigan State University
Some Points of Consideration
• When milk fat is acceptable
- Inclusion of risk factors acceptable and
may be advantageous to production and
efficiency
• When milk fat is low: look for a reason
- When did it start and what happened ~7-10 d prior?
- Is it a certain string or group of cows?
High Producing cows likely more susceptible
- What season is it?
- Is the sample a daily average?
2018 © Board of Trustees of Michigan State University
Fats in plants are primarily unsaturated -
Ruminant fats are saturated
 Unsaturated FA are Toxic to Rumen Bacteria
Biohydrogenation
2018 © Board of Trustees of Michigan State University
Mechanism for Diet-Induced MFD
• Increased duodenal flow of specific BH intermediates (CLAmfd)
- Increased passage rate
- Intermediates flow out of the rumen before complete BH
• Changes in rumen environment
- Change in microbial populations
 Shift in BH pathways and intermediates produced
 Slower less complete BH
• Specific action at mammary gland
• Biohydrogenation theory
2018 © Board of Trustees of Michigan State University
• Low milk fat is typically not
caused by a single factor on
farm
• We can not eliminate all risk
factors
• We probably do not want to
eliminate all risk factors
Nutrition
Environment
Management
Physiological
State
Milk
Fat
Many Factors Cause MFD
2018 © Board of Trustees of Michigan State University
Bottom Line for Both
Minimizing Risk and
Correcting a Low Milk Fat
Situation?
Understanding
& controlling BH
pathways &
formation of
specific BH
intermediates
2018 © Board of Trustees of Michigan State University
‘Dose’ Dependent Response
• The extent of MFD is directly related
to amount of CLAmfd leaving the
rumen and taken up by the MG
• Magnitude of decrease in milk fat
(e.g. 4.0 to 3.6%) could be caused by
as little as 1 to 2 g/d (< 0.02% dietary
DM) of CLAmfd passing to the SI
-60
-50
-40
-30
-20
-10
0
0 3 6 9 12 15
PercentageChangeinMilkFatYield
Dose trans-10, cis -12 CLA (g/d)
(Abomasal infusion of CLA – 7 studies)
de Veth et al. (2004)
2018 © Board of Trustees of Michigan State University
Timeline for Milk Fat Depression
• Key Questions:
- When MFD occurs… when did the problem originate?
- When correcting the diet… when do we expect to see improvements?
• Following a dietary adjustment:
- A lag of 7 to 10 days is expected to see MFD
• Following a diet correction:
- It will take 10 to 14 days to rescue milk fat synthesis (but should start
to see a movement by 7 days)
2018 © Board of Trustees of Michigan State University
Excessive
Unsaturated FA Intake
Low pH
Excess Rapidly
Degradable CHO
Rumen Conditions That
Increase CLAmfd Intermediates?
2018 © Board of Trustees of Michigan State University
• Characterised by lots of lush (low peNDF) pasture /
ryegrass with high digestibility
- Fast rumen throughput?
• Pasture has high FA content (up to and over 6%)
- Lots of rumen available PUFA
• Generally associated with feeding large amounts > 3
kg slugs of fast fermenting grains (> 6kg/cow/day)
- Altered rumen fermentation/reduced rumen pH
Primary Risk Factors for MFD in a Pasture-Fed Situation
2018 © Board of Trustees of Michigan State University
Pasture Fat Contents
(67 herds, Spring 2001 samples) (Bramley et al 2002)
2018 © Board of Trustees of Michigan State University
Fatty Acid Composition of Australian Pastures
Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis
0.00
0.50
1.00
1.50
2.00
2.50
3.00
C16:0 C18:0 C18:1 C18:2 C18:3 Total
FA,%DM
Fatty Acid Content (% DM)
21
2
2
11
53
Fatty Acid Profile (g/100 g FA)
C16:0 C18:0 C18:1 C18:2 C18:3
2018 © Board of Trustees of Michigan State University
Fatty Acid Composition of Australian Pastures
1.50
1.70
1.90
2.10
2.30
2.50
2.70
LF1 LF2 LF3
TotalFA,%DM
P<0.01
0.00
0.50
1.00
1.50
2.00
2.50
0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00IndividualFA,%DM
Total FA, % DM
C18:3 C18:2 C16:0
Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis
2018 © Board of Trustees of Michigan State University
Ether Extract vs. FA Content of Australian Pastures
y = 0.67x - 0.07
R² = 0.93
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00
FA,%DM
Ether Extract, % DM
Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis
2018 © Board of Trustees of Michigan State University
Ether Extract Content of Australian Pastures
Based on results from 270 samples collected and analysed by Rawnsley et al. (University of Tasmania)
3.70
3.90
4.10
4.30
4.50
LF1 LF2 LF3
EtherExtract,%DM
P<0.01
2018 © Board of Trustees of Michigan State University
Ether Extract Content of Australian Pastures
3.70
3.90
4.10
4.30
4.50
D-0 D-1.5 D-3.0
EtherExtract,%DM
Nitrogen dose (kg/d)
P<0.01
Based on results from 270 samples collected and analysed by Rawnsley et al. (University of Tasmania)
2018 © Board of Trustees of Michigan State University
Effects of Nitrogen Application on C18:3
Content of Pastures
Morgan et al. 2014. Grassland Science in
Europe, Vol. 19 pp. 550
Elgersma et al. 2007. in Fresh Herbage for
Dairy Cattle. pp 175–194
2018 © Board of Trustees of Michigan State University
Practical Implication for Pasture Management
• The correct point to graze in order to limit FA intake coincides with what is
generally regarded as the correct point of grazing for optimal agronomic
outcomes (LF3)
• Poorly managed grazing rotations with early entry at low leaf emergence,
coupled with nitrogen use to promote growth, is more likely to produce
greater FA content of plant tissue (and greater FA intakes)
• This increased FA content/intake at sub optimal grazing points will be
compounded by lack of effective fiber at these leaf emergence points
2018 © Board of Trustees of Michigan State University
Rumen Environment
• Factors that alter rumen environment are
traditionally first considered when
troubleshooting MFD on dairy farms
• Ruminal pH is a determinant of microbial
populations in the rumen
- Low ruminal pH is one major factor that can lead to a
change in rumen BH pathways
• Changes in rumen pH are most likely associated
with MFD because they cause a change in the
bacterial population favoring those that have
alternative BH pathways
• Clinical acidosis (even SARA) is NOT a prerequisite
for MFD to occur; subtle ruminal changes are all
that are required (e.g. pH 6.2 down to 5.8)
Allen. 1997. J. Dairy Sci. 80:1447
2018 © Board of Trustees of Michigan State University
Effect of pH on Biohydrogenation
3. Inhibit final step/
alter rates of BH
Linoleic acid
(cis-9, cis-12 18:2)
Rumenic acid
(cis-9, trans-11 CLA)
Vaccenic acid
(trans-11 18:1)
Stearic acid
(18:0)
trans-10, cis-12 CLA
trans-10 18:1
Stearic acid
(18:0)
1. Increase C18 UFA Precursors
2. Alter BH pathways/rumen
environment
2018 © Board of Trustees of Michigan State University
y = 0.10x - 0.07
R² = 0.99
y = 0.04x - 0.02
R² = 0.99
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0% 1% 2%
pH 5.8
y = 0.64x + 0.44
R² = 0.96
y = 0.38x + 0.20
R² = 0.99
0.0
0.5
1.0
1.5
2.0
2.5
0% 1% 2%
pH 5.8 pH 6.2
trans-10, cis-12 18:2
g/100gFA
g/100gFA
trans-10 18:1
OIL concentration
(24 hr Results)
OIL concentration
At 24 hr:
• Culture pH X OIL interaction for trans-10, cis-12 18:2, P < 0.05
• Culture pH X OIL interaction for trans-10 18:1, P < 0.005
pH & Corn Oil Interactions
Sun et al. 2014. J. Dairy Sci. 97 (E-Suppl. 1): 319
2018 © Board of Trustees of Michigan State University
Fermentation Rates of Starch Sources
• Careful consideration should be given to the fermentation rate of starch
sources when troubleshooting MFD issues
- Grain Source
Wheat > Barley > HMC > Dry Corn
- Moisture
High moisture > Dry
- Processing
Steam flake > Fine ground > Coarse ground > Cracked > Whole
2018 © Board of Trustees of Michigan State University
Altering the Main Source of Dietary Carbohydrate
2.9
3.0
3.1
3.2
3.3
3.4
3.5
3.6
Corn Oats Barley Wheat
MilkFatContent(%)
Main Source of Carbohydrate
1.00
1.05
1.10
1.15
1.20
1.25
1.30
1.35
1.40
Corn Oats Barley Wheat
MilkFatYield(kg/d)
Main Source of Carbohydrate
a
ab
b b
a
ab ab
b
Gozho & Mutsvangwa. 2008. J Dairy Sci. 91:2726–2735
2018 © Board of Trustees of Michigan State University
• 33% SC increased CLA
by 20%
Starch Content
• No main effect of SF
Starch
Fermentability
• pH 5.8 increased CLA
by 67%
Culture pH
trans-10, cis-12 CLA
0.00
0.05
0.10
0.15
0.20
0.25
22% SC 33% SC
22% SC
33% SC
trans-10,cis-12CLA,g/100totalFA
**
0.00
0.05
0.10
0.15
0.20
0.25
pH 6.2 pH 5.8
pH 6.2
pH 5.8
trans-10,cis-12CLA,g/100totalFA
**
(**P < 0.001)
0.00
0.05
0.10
0.15
0.20
0.25
DC HMC
DC
HMC
trans-10,cis-12CLA,g/100totalFA
P = 0.13
Yan, Allen, & Lock, ADSA-ASAS Annual Meeting, 2015
2018 © Board of Trustees of Michigan State University
Saccharomyces Cerevisiae Fermentation Product
• Saccharomyces cerevisiae fermentation product (SCFP) prevented MFD
during 2-d fermentable starch challenge
(Longuski et al., 2009)
(Williams, et al., 1991; Miller-Webster et al., 2002)
• Potential mechanisms:
- Changes metabolism of ruminal microbes and stabilized rumen
fermentation
2018 © Board of Trustees of Michigan State University
trans-10, cis-12 18:2 – 24 h
0.2
0.3
0.4
0.5
0.6
CON SCFP
trans-10,cis-1218:2,g/100gtotalFA
• A-RF decreased trans-
10, cis-12 18:2 by 17%
(P < 0.01)
Rumen fluid
0.2
0.3
0.4
0.5
0.6
pH 5.8 pH 6.2
trans-10,cis-1218:2,g/100gtotalFA
• pH 5.8 increased
trans-10, cis-12 18:2 by
56% (P < 0.01)
Culture pH
0.2
0.3
0.4
0.5
0.6
HMC DC
trans-10,cis-1218:2,g/100gtotalFA
• HMC increased trans-
10, cis-12 18:2 by 15%
(P < 0.05)
Starch
fermentability
U-RF A-RF
2018 © Board of Trustees of Michigan State University
0.0
0.1
0.2
0.3
0.4
0.5
0.6
CON SCFP
DC HMCtrans-10,cis-1218:2,g/100gtotal
FA
Rumen fluid
type
• Rumen fluid × starch fermentability interaction (P < 0.01)
Rumen Fluid × Starch Fermentability – 24 h
U-RF A-RF
1.0
1.2
1.4
1.6
CON YC
DC HMC
Milkfatyield,kg/d
(Longuski et al., 2009)
SCFPCON SCFPU-RF A-RF
2018 © Board of Trustees of Michigan State University
2.0
2.5
3.0
3.5
4.0
Low Starch High Starch
MilkFat%
Starch Starch-Monensin Starch-Oil Starch-Monensin-Oil
Monensin and MFD
Interaction Between Unsaturated FA, Starch, and Monensin
2.0
2.5
3.0
3.5
4.0
0 1.7 3.4
MilkFat%
Supplemental Soybean Oil (% DM)
No MN MN (22 mg/kg DM)
Van Amburgh et al. 2008. Cornell Nutrition ConferenceAlzahal et al. 2008. J Dairy Sci. 91:1166–1174
2018 © Board of Trustees of Michigan State University
Management Factors Associated
with Reduced Milk Fat
• Feeding frequency
• Mixing
• Sorting
• Slug feeding
• Stocking density
Rumen environment is critical to milk fat yield and involves interactions
of numerous dietary, cow, and environmental factors
2018 © Board of Trustees of Michigan State University
What Can We Do to Avoid MFD and/or
Troubleshoot Low Milk Fat?
• High unsaturated FA load diets are to be expected
- We can not control PUFA intake (rather, very hard to control)
- However, knowing variation and what is actually being fed important
 Unexpected changes
 Minimizing variation
• Must take opportunities to reduce fermentability of the diet to avoid shifts in BH
and increased production of CLAmfd
- Reduce starch fermentability and/or slug feeding
 Consider using corn (or other less fermentable starch sources) to replace some or all of
wheat (depending on feed rates)
- Consider increasing peNDF of the diet
- Consider choice of rumen modifier(s)
• Interactions!
2018 © Board of Trustees of Michigan State University
Correcting Milk Fat Depression
Unsaturated Fatty Acids vs Diet Fermentability
• Under TMR situations we typically consider that:
- Dietary UFA are the most important factor to correct first
- Correcting fermentability also very important and can provide an additional
benefit (some concern with lost milk)
 I think doing both is the best approach when correcting MFD
• Under typical pasture situations:
- Much harder to correct UFA, especially from pasture
o But can we consider other sources of UFA in the diet (by products, fat
supplements etc), pasture growth stage when fed
- Correcting fermentability likely provides many more opportunities
o Starch sources, rates of feeding, peNDF, pasture growth stage when fed
2018 © Board of Trustees of Michigan State University
• MFD is caused by unique fatty acids (CLAmfd) originating from ruminal
biohydrogenation
• Rumen environment is critical and involves interactions of numerous dietary,
cow, and environmental factors
• Induction occurs in ~7 to 10 d and recovery requires longer (~10 to 18 d)
depending on the severity of MFD and the dietary changes made to remedy
• Unsaturated FA intake and diet fermentability are the primary issues to consider
• When seeking to boost milk components, focus on nutrition, but must not forget
the feeding environment & management
• Management that alters natural feeding, resting, or ruminating behavior can
alter milk fat even when the diet is properly formulated
• Vital to benchmark: monitor milk yield and milk fat over time
2018 © Board of Trustees of Michigan State University
http://dairynutrition.msu.edu
https://www.facebook.com/MSUDairyNutritionProgram
allock@msu.edu
2018 © Board of Trustees of Michigan State University
2018 © Board of Trustees of Michigan State University.
All Rights Reserved. No part of this presentation may be
recorded, transmitted, or modified in any form or by
electronic, mechanical, or other means without the
written permission of Michigan State University.
Contact Details:
Dr Adam L. Lock
Department of Animal Science
Michigan State University
allock@msu.edu
517-802-8124
2018 © Board of Trustees of Michigan State University
Resolving a MFD Issue (Avoiding a MFD Issue)
• Dietary FA
- Concentration of C18:2
most important (also
consider other UFA)
- Sources of C18:2 (rate of
release/availability)
• Reduce diet PUFA
- Least risk of losing milk in
the short-term
- Replace unsaturated FA
with saturated FA
supplements (not all are
the same)
• Diet Fermentability
(rumen pH)
- Consider carbohydrate
profiles and effective fiber
- Increase forage NDF and
effective fiber
- Switch rapidly
fermentable sources for
less rapidly fermentable
sources
- Reduce starch and
increase fiber
 Experience with similar
diets in your area is
important
 Cognizant of lost milk?
• Feeding Strategies
- Number of feeding
times per day
- Stocking density
- Slug feeding
- Feeding times
2018 © Board of Trustees of Michigan State University
• Milk fat production makes up the major
‘energetic investment’ of milk synthesis,
accounting for over one-half of the energy
needed
• During MFD  priority for milk
production,  priority for storage of
energy as adipose (Van Soest, 1963)
• 0.25 percentage unit reduction in milk fat
concentration results in ~ 3% reduction in
milk energy output (assuming no change
in milk yield)
Milk Fat & Energy Partitioning
670
680
690
700
710
720
730
180 200 220 240 260 280 300
BodyWeight,kg
Days in Milk
2.8
3.0
3.2
3.4
3.6
3.8
180 200 220 240 260 280 300
BodyConditionScore,pt
Days in Milk
670
680
690
700
710
720
730
180 200 220 240 260 280 300
BodyWeight,kg
Daysin Milk
0.2%difference 0.4%difference 0.6%difference
2018 © Board of Trustees of Michigan State University
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
CON DV
5.8-DC 5.8-HMC
6.2-DC 6.2-HMC
Rumen fluid type
trans-10,cis-1218:2,g/100gtotalFA
U-RF A-RF
Rumen fluid × culture pH ×
starch fermentability (P < 0.01)
Rumen Fluid × Culture pH × Starch Fermentability
U-RFCON SCFPU-RF
At low culture pH
(pH 5.8)
A-RF
• Rumen fluid adapted to SCFP (A-RF) decreased concentration of trans-10,
cis-12 18:2, especially at low culture pH and high starch fermentability

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3. Friday - Ruminant Sessions prof adam lock michigan state university - rumen health &amp; milk fat depression

  • 1. 2018 © Board of Trustees of Michigan State University Rumen Health and Milk Fat Depression Feedworks 2018 Conference Performance Through Science Twin Waters Resort Queensland, Australia September 19-21, 2018 Adam L. Lock Department of Animal Science Michigan State University
  • 2. 2018 © Board of Trustees of Michigan State University Milk Fat Seasonal Variation in Australia Data Supplied by Dairy Australia 3.60 3.80 4.00 4.20 4.40 4.60 4.80 2011 2012 2013 2014 2015 2016 MilkFatContent(%) Year DairyNSW GippsDairy Murray Dairy WestVic 3.60 3.80 4.00 4.20 4.40 4.60 4.80 January February M arch April M ay June July AugustSeptem ber OctoberNovem berDecem ber MilkFatContent(%) Month 3.60 3.80 4.00 4.20 4.40 2011 2012 2013 2014 2015 2016 MilkFatContent(%) Year DairyNSW GippsDairy Murray Dairy WestVic
  • 3. 2018 © Board of Trustees of Michigan State University Annual Seasonal Challenges with Milk Fat • Annual rhythm of milk component content (and yield) varies by geographical location and herd • Each herd and each cow is somewhere on a continuum • Important to monitor milk components: - Allow for predicting future concentrations and yields of milk components that may be produced (managing expectations) - Provide benchmarking for determining whether a change in components is to be expected or it is an acute nutrition/management issue (e.g. milk fat depression)
  • 4. 2018 © Board of Trustees of Michigan State University WHEN THE COWS DROP IN MILK FAT
  • 5. 2018 © Board of Trustees of Michigan State University Milk Fat Depression • Milk fat reduced but milk yield and other milk components unaffected • It is not an overt rumen dysfunction reducing fiber digestion and acetate yield • Caused by bioactive FA and NOT by limitations in substrate supply • This is a common cause of reduced milk fat yield, but is not meant to explain every change in milk fat
  • 6. 2018 © Board of Trustees of Michigan State University Some Points of Consideration • When milk fat is acceptable - Inclusion of risk factors acceptable and may be advantageous to production and efficiency • When milk fat is low: look for a reason - When did it start and what happened ~7-10 d prior? - Is it a certain string or group of cows? High Producing cows likely more susceptible - What season is it? - Is the sample a daily average?
  • 7. 2018 © Board of Trustees of Michigan State University Fats in plants are primarily unsaturated - Ruminant fats are saturated  Unsaturated FA are Toxic to Rumen Bacteria Biohydrogenation
  • 8. 2018 © Board of Trustees of Michigan State University Mechanism for Diet-Induced MFD • Increased duodenal flow of specific BH intermediates (CLAmfd) - Increased passage rate - Intermediates flow out of the rumen before complete BH • Changes in rumen environment - Change in microbial populations  Shift in BH pathways and intermediates produced  Slower less complete BH • Specific action at mammary gland • Biohydrogenation theory
  • 9. 2018 © Board of Trustees of Michigan State University • Low milk fat is typically not caused by a single factor on farm • We can not eliminate all risk factors • We probably do not want to eliminate all risk factors Nutrition Environment Management Physiological State Milk Fat Many Factors Cause MFD
  • 10. 2018 © Board of Trustees of Michigan State University Bottom Line for Both Minimizing Risk and Correcting a Low Milk Fat Situation? Understanding & controlling BH pathways & formation of specific BH intermediates
  • 11. 2018 © Board of Trustees of Michigan State University ‘Dose’ Dependent Response • The extent of MFD is directly related to amount of CLAmfd leaving the rumen and taken up by the MG • Magnitude of decrease in milk fat (e.g. 4.0 to 3.6%) could be caused by as little as 1 to 2 g/d (< 0.02% dietary DM) of CLAmfd passing to the SI -60 -50 -40 -30 -20 -10 0 0 3 6 9 12 15 PercentageChangeinMilkFatYield Dose trans-10, cis -12 CLA (g/d) (Abomasal infusion of CLA – 7 studies) de Veth et al. (2004)
  • 12. 2018 © Board of Trustees of Michigan State University Timeline for Milk Fat Depression • Key Questions: - When MFD occurs… when did the problem originate? - When correcting the diet… when do we expect to see improvements? • Following a dietary adjustment: - A lag of 7 to 10 days is expected to see MFD • Following a diet correction: - It will take 10 to 14 days to rescue milk fat synthesis (but should start to see a movement by 7 days)
  • 13. 2018 © Board of Trustees of Michigan State University Excessive Unsaturated FA Intake Low pH Excess Rapidly Degradable CHO Rumen Conditions That Increase CLAmfd Intermediates?
  • 14. 2018 © Board of Trustees of Michigan State University • Characterised by lots of lush (low peNDF) pasture / ryegrass with high digestibility - Fast rumen throughput? • Pasture has high FA content (up to and over 6%) - Lots of rumen available PUFA • Generally associated with feeding large amounts > 3 kg slugs of fast fermenting grains (> 6kg/cow/day) - Altered rumen fermentation/reduced rumen pH Primary Risk Factors for MFD in a Pasture-Fed Situation
  • 15. 2018 © Board of Trustees of Michigan State University Pasture Fat Contents (67 herds, Spring 2001 samples) (Bramley et al 2002)
  • 16. 2018 © Board of Trustees of Michigan State University Fatty Acid Composition of Australian Pastures Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis 0.00 0.50 1.00 1.50 2.00 2.50 3.00 C16:0 C18:0 C18:1 C18:2 C18:3 Total FA,%DM Fatty Acid Content (% DM) 21 2 2 11 53 Fatty Acid Profile (g/100 g FA) C16:0 C18:0 C18:1 C18:2 C18:3
  • 17. 2018 © Board of Trustees of Michigan State University Fatty Acid Composition of Australian Pastures 1.50 1.70 1.90 2.10 2.30 2.50 2.70 LF1 LF2 LF3 TotalFA,%DM P<0.01 0.00 0.50 1.00 1.50 2.00 2.50 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00IndividualFA,%DM Total FA, % DM C18:3 C18:2 C16:0 Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis
  • 18. 2018 © Board of Trustees of Michigan State University Ether Extract vs. FA Content of Australian Pastures y = 0.67x - 0.07 R² = 0.93 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 FA,%DM Ether Extract, % DM Based on 45 samples provided by Rawnsley et al. (University of Tasmania) for FA analysis
  • 19. 2018 © Board of Trustees of Michigan State University Ether Extract Content of Australian Pastures Based on results from 270 samples collected and analysed by Rawnsley et al. (University of Tasmania) 3.70 3.90 4.10 4.30 4.50 LF1 LF2 LF3 EtherExtract,%DM P<0.01
  • 20. 2018 © Board of Trustees of Michigan State University Ether Extract Content of Australian Pastures 3.70 3.90 4.10 4.30 4.50 D-0 D-1.5 D-3.0 EtherExtract,%DM Nitrogen dose (kg/d) P<0.01 Based on results from 270 samples collected and analysed by Rawnsley et al. (University of Tasmania)
  • 21. 2018 © Board of Trustees of Michigan State University Effects of Nitrogen Application on C18:3 Content of Pastures Morgan et al. 2014. Grassland Science in Europe, Vol. 19 pp. 550 Elgersma et al. 2007. in Fresh Herbage for Dairy Cattle. pp 175–194
  • 22. 2018 © Board of Trustees of Michigan State University Practical Implication for Pasture Management • The correct point to graze in order to limit FA intake coincides with what is generally regarded as the correct point of grazing for optimal agronomic outcomes (LF3) • Poorly managed grazing rotations with early entry at low leaf emergence, coupled with nitrogen use to promote growth, is more likely to produce greater FA content of plant tissue (and greater FA intakes) • This increased FA content/intake at sub optimal grazing points will be compounded by lack of effective fiber at these leaf emergence points
  • 23. 2018 © Board of Trustees of Michigan State University Rumen Environment • Factors that alter rumen environment are traditionally first considered when troubleshooting MFD on dairy farms • Ruminal pH is a determinant of microbial populations in the rumen - Low ruminal pH is one major factor that can lead to a change in rumen BH pathways • Changes in rumen pH are most likely associated with MFD because they cause a change in the bacterial population favoring those that have alternative BH pathways • Clinical acidosis (even SARA) is NOT a prerequisite for MFD to occur; subtle ruminal changes are all that are required (e.g. pH 6.2 down to 5.8) Allen. 1997. J. Dairy Sci. 80:1447
  • 24. 2018 © Board of Trustees of Michigan State University Effect of pH on Biohydrogenation 3. Inhibit final step/ alter rates of BH Linoleic acid (cis-9, cis-12 18:2) Rumenic acid (cis-9, trans-11 CLA) Vaccenic acid (trans-11 18:1) Stearic acid (18:0) trans-10, cis-12 CLA trans-10 18:1 Stearic acid (18:0) 1. Increase C18 UFA Precursors 2. Alter BH pathways/rumen environment
  • 25. 2018 © Board of Trustees of Michigan State University y = 0.10x - 0.07 R² = 0.99 y = 0.04x - 0.02 R² = 0.99 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0% 1% 2% pH 5.8 y = 0.64x + 0.44 R² = 0.96 y = 0.38x + 0.20 R² = 0.99 0.0 0.5 1.0 1.5 2.0 2.5 0% 1% 2% pH 5.8 pH 6.2 trans-10, cis-12 18:2 g/100gFA g/100gFA trans-10 18:1 OIL concentration (24 hr Results) OIL concentration At 24 hr: • Culture pH X OIL interaction for trans-10, cis-12 18:2, P < 0.05 • Culture pH X OIL interaction for trans-10 18:1, P < 0.005 pH & Corn Oil Interactions Sun et al. 2014. J. Dairy Sci. 97 (E-Suppl. 1): 319
  • 26. 2018 © Board of Trustees of Michigan State University Fermentation Rates of Starch Sources • Careful consideration should be given to the fermentation rate of starch sources when troubleshooting MFD issues - Grain Source Wheat > Barley > HMC > Dry Corn - Moisture High moisture > Dry - Processing Steam flake > Fine ground > Coarse ground > Cracked > Whole
  • 27. 2018 © Board of Trustees of Michigan State University Altering the Main Source of Dietary Carbohydrate 2.9 3.0 3.1 3.2 3.3 3.4 3.5 3.6 Corn Oats Barley Wheat MilkFatContent(%) Main Source of Carbohydrate 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 Corn Oats Barley Wheat MilkFatYield(kg/d) Main Source of Carbohydrate a ab b b a ab ab b Gozho & Mutsvangwa. 2008. J Dairy Sci. 91:2726–2735
  • 28. 2018 © Board of Trustees of Michigan State University • 33% SC increased CLA by 20% Starch Content • No main effect of SF Starch Fermentability • pH 5.8 increased CLA by 67% Culture pH trans-10, cis-12 CLA 0.00 0.05 0.10 0.15 0.20 0.25 22% SC 33% SC 22% SC 33% SC trans-10,cis-12CLA,g/100totalFA ** 0.00 0.05 0.10 0.15 0.20 0.25 pH 6.2 pH 5.8 pH 6.2 pH 5.8 trans-10,cis-12CLA,g/100totalFA ** (**P < 0.001) 0.00 0.05 0.10 0.15 0.20 0.25 DC HMC DC HMC trans-10,cis-12CLA,g/100totalFA P = 0.13 Yan, Allen, & Lock, ADSA-ASAS Annual Meeting, 2015
  • 29. 2018 © Board of Trustees of Michigan State University Saccharomyces Cerevisiae Fermentation Product • Saccharomyces cerevisiae fermentation product (SCFP) prevented MFD during 2-d fermentable starch challenge (Longuski et al., 2009) (Williams, et al., 1991; Miller-Webster et al., 2002) • Potential mechanisms: - Changes metabolism of ruminal microbes and stabilized rumen fermentation
  • 30. 2018 © Board of Trustees of Michigan State University trans-10, cis-12 18:2 – 24 h 0.2 0.3 0.4 0.5 0.6 CON SCFP trans-10,cis-1218:2,g/100gtotalFA • A-RF decreased trans- 10, cis-12 18:2 by 17% (P < 0.01) Rumen fluid 0.2 0.3 0.4 0.5 0.6 pH 5.8 pH 6.2 trans-10,cis-1218:2,g/100gtotalFA • pH 5.8 increased trans-10, cis-12 18:2 by 56% (P < 0.01) Culture pH 0.2 0.3 0.4 0.5 0.6 HMC DC trans-10,cis-1218:2,g/100gtotalFA • HMC increased trans- 10, cis-12 18:2 by 15% (P < 0.05) Starch fermentability U-RF A-RF
  • 31. 2018 © Board of Trustees of Michigan State University 0.0 0.1 0.2 0.3 0.4 0.5 0.6 CON SCFP DC HMCtrans-10,cis-1218:2,g/100gtotal FA Rumen fluid type • Rumen fluid × starch fermentability interaction (P < 0.01) Rumen Fluid × Starch Fermentability – 24 h U-RF A-RF 1.0 1.2 1.4 1.6 CON YC DC HMC Milkfatyield,kg/d (Longuski et al., 2009) SCFPCON SCFPU-RF A-RF
  • 32. 2018 © Board of Trustees of Michigan State University 2.0 2.5 3.0 3.5 4.0 Low Starch High Starch MilkFat% Starch Starch-Monensin Starch-Oil Starch-Monensin-Oil Monensin and MFD Interaction Between Unsaturated FA, Starch, and Monensin 2.0 2.5 3.0 3.5 4.0 0 1.7 3.4 MilkFat% Supplemental Soybean Oil (% DM) No MN MN (22 mg/kg DM) Van Amburgh et al. 2008. Cornell Nutrition ConferenceAlzahal et al. 2008. J Dairy Sci. 91:1166–1174
  • 33. 2018 © Board of Trustees of Michigan State University Management Factors Associated with Reduced Milk Fat • Feeding frequency • Mixing • Sorting • Slug feeding • Stocking density Rumen environment is critical to milk fat yield and involves interactions of numerous dietary, cow, and environmental factors
  • 34. 2018 © Board of Trustees of Michigan State University What Can We Do to Avoid MFD and/or Troubleshoot Low Milk Fat? • High unsaturated FA load diets are to be expected - We can not control PUFA intake (rather, very hard to control) - However, knowing variation and what is actually being fed important  Unexpected changes  Minimizing variation • Must take opportunities to reduce fermentability of the diet to avoid shifts in BH and increased production of CLAmfd - Reduce starch fermentability and/or slug feeding  Consider using corn (or other less fermentable starch sources) to replace some or all of wheat (depending on feed rates) - Consider increasing peNDF of the diet - Consider choice of rumen modifier(s) • Interactions!
  • 35. 2018 © Board of Trustees of Michigan State University Correcting Milk Fat Depression Unsaturated Fatty Acids vs Diet Fermentability • Under TMR situations we typically consider that: - Dietary UFA are the most important factor to correct first - Correcting fermentability also very important and can provide an additional benefit (some concern with lost milk)  I think doing both is the best approach when correcting MFD • Under typical pasture situations: - Much harder to correct UFA, especially from pasture o But can we consider other sources of UFA in the diet (by products, fat supplements etc), pasture growth stage when fed - Correcting fermentability likely provides many more opportunities o Starch sources, rates of feeding, peNDF, pasture growth stage when fed
  • 36. 2018 © Board of Trustees of Michigan State University • MFD is caused by unique fatty acids (CLAmfd) originating from ruminal biohydrogenation • Rumen environment is critical and involves interactions of numerous dietary, cow, and environmental factors • Induction occurs in ~7 to 10 d and recovery requires longer (~10 to 18 d) depending on the severity of MFD and the dietary changes made to remedy • Unsaturated FA intake and diet fermentability are the primary issues to consider • When seeking to boost milk components, focus on nutrition, but must not forget the feeding environment & management • Management that alters natural feeding, resting, or ruminating behavior can alter milk fat even when the diet is properly formulated • Vital to benchmark: monitor milk yield and milk fat over time
  • 37. 2018 © Board of Trustees of Michigan State University http://dairynutrition.msu.edu https://www.facebook.com/MSUDairyNutritionProgram allock@msu.edu
  • 38. 2018 © Board of Trustees of Michigan State University 2018 © Board of Trustees of Michigan State University. All Rights Reserved. No part of this presentation may be recorded, transmitted, or modified in any form or by electronic, mechanical, or other means without the written permission of Michigan State University. Contact Details: Dr Adam L. Lock Department of Animal Science Michigan State University allock@msu.edu 517-802-8124
  • 39. 2018 © Board of Trustees of Michigan State University Resolving a MFD Issue (Avoiding a MFD Issue) • Dietary FA - Concentration of C18:2 most important (also consider other UFA) - Sources of C18:2 (rate of release/availability) • Reduce diet PUFA - Least risk of losing milk in the short-term - Replace unsaturated FA with saturated FA supplements (not all are the same) • Diet Fermentability (rumen pH) - Consider carbohydrate profiles and effective fiber - Increase forage NDF and effective fiber - Switch rapidly fermentable sources for less rapidly fermentable sources - Reduce starch and increase fiber  Experience with similar diets in your area is important  Cognizant of lost milk? • Feeding Strategies - Number of feeding times per day - Stocking density - Slug feeding - Feeding times
  • 40. 2018 © Board of Trustees of Michigan State University • Milk fat production makes up the major ‘energetic investment’ of milk synthesis, accounting for over one-half of the energy needed • During MFD  priority for milk production,  priority for storage of energy as adipose (Van Soest, 1963) • 0.25 percentage unit reduction in milk fat concentration results in ~ 3% reduction in milk energy output (assuming no change in milk yield) Milk Fat & Energy Partitioning 670 680 690 700 710 720 730 180 200 220 240 260 280 300 BodyWeight,kg Days in Milk 2.8 3.0 3.2 3.4 3.6 3.8 180 200 220 240 260 280 300 BodyConditionScore,pt Days in Milk 670 680 690 700 710 720 730 180 200 220 240 260 280 300 BodyWeight,kg Daysin Milk 0.2%difference 0.4%difference 0.6%difference
  • 41. 2018 © Board of Trustees of Michigan State University 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 CON DV 5.8-DC 5.8-HMC 6.2-DC 6.2-HMC Rumen fluid type trans-10,cis-1218:2,g/100gtotalFA U-RF A-RF Rumen fluid × culture pH × starch fermentability (P < 0.01) Rumen Fluid × Culture pH × Starch Fermentability U-RFCON SCFPU-RF At low culture pH (pH 5.8) A-RF • Rumen fluid adapted to SCFP (A-RF) decreased concentration of trans-10, cis-12 18:2, especially at low culture pH and high starch fermentability