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A new methodology to estimate protein feed value using the
A new methodology to estimate protein feed value using the milk protein biological response Florence Dufreneix1,2, Philippe Faverdin1, François Gautier2, Jean- Louis Peyraud1
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Size and density influence of concentrates to increase by
Size and density influence of concentrates to increase by-pass protein fraction in dairy cows’ diet Florence Dufreneix1,2, Philippe Faverdin1, François Gautier2, Jean-
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Size and density influence of concentrates
to increase by-pass protein fraction Florence Dufreneix1,2, Philippe Faverdin1, François Gautier2, Jean-Louis Peyraud1
69thEAAP Annual meeting ʹ2018
© S. Champion
© S. Champion
Mambrini et Peyraud (1997)
1PEGASE, Agrocampus Ouest, INRA, 35590 Saint-Gilles, France
2Agrial, 4 rue des Roquemonts, 14000 Caen, France
2 IntroductionMaterial & MethodsResultsApplicationsConclusion Protection of protein: major challenge in dairy cows Reduce the use of vegetable proteins (increase protein efficiency)Reduce nitrogen excretion in environment
2 IntroductionMaterial & MethodsResultsApplicationsConclusion Protection of protein: major challenge in dairy cows Reduce the use of vegetable proteins (increase protein efficiency)Reduce nitrogen excretion in environment
Different techniques
Protection against microbial fermentations
Formaldehyde tanning (carcinogenic)
New protections (essential oils, vegetable tannins)Less efficient
Short-term action
2 IntroductionMaterial & MethodsResultsApplicationsConclusion Protection of protein: major challenge in dairy cows Reduce the use of vegetable proteins (increase protein efficiency)Reduce nitrogen excretion in environment
Different techniques
Protection against microbial fermentations
Formaldehyde tanning (carcinogenic)
New protections (essential oils, vegetable tannins)Less efficient
Short-term action
Reduce time spent by particle in the rumen
Influence of size and density on the mean retention time 2 IntroductionMaterial & MethodsResultsApplicationsConclusion Protection of protein: major challenge in dairy cows Reduce the use of vegetable proteins (increase protein efficiency)Reduce nitrogen excretion in environment
Different techniques
Protection against microbial fermentations
Formaldehyde tanning (carcinogenic)
New protections (essential oils, vegetable tannins)Less efficient
Short-term action
Reduce time spent by particle in the rumen
Influence of size and density on the mean retention time IntroductionMaterial & MethodsResultsApplicationsConclusion 3Specific
gravity Size1) Ruminal fermentations
Gases production =
decrease of densityReduction of size
IntroductionMaterial & MethodsResultsApplicationsConclusion 3Specific
gravity Size1) Ruminal fermentations
Gases production =
decrease of densityReduction of size
2) Release of
fermentation gases increase of densityReduction of size
IntroductionMaterial & MethodsResultsApplicationsConclusion 3Specific
gravity Size1) Ruminal fermentations
Gases production =
decrease of densityReduction of size
2) Release of
fermentation gases increase of densityReduction of size
3) Escape from the rumen
IntroductionMaterial & MethodsResultsApplicationsConclusion 3Specific
gravity Size1) Ruminal fermentations
Gases production =
decrease of densityReduction of size
2) Release of
fermentation gases increase of densityReduction of size
3) Escape from the rumen
Effects of size and density on particle passage rate in the rumenKnown on forages
Few studies on concentrates
IntroductionMaterial & MethodsResultsApplicationsConclusion 3Specific
gravity Size1) Ruminal fermentations
Gases production =
decrease of densityReduction of size
2) Release of
fermentation gases increase of densityReduction of size
3) Escape from the rumen
Which size and density of concentrates
allow the fastest escape from the rumen ?Experimental design:
4 lactating cows in a Latin square design
Faecal kinetics monitored during 4 periods of 106 hours (17 faeces samplings) 4Use of plastic particles:
no effect of rumen microbial fermentations IntroductionMaterial & MethodsResultsApplicationsConclusion 5Faecal
samplingWet sieving under
high pressure waterDensity separation
(surfactant) IntroductionMaterial & MethodsResultsApplicationsConclusion 5Faecal
samplingWet sieving under
high pressure waterDensity separation
(surfactant) IntroductionMaterial & MethodsResultsApplicationsConclusionAmbient water
Particles of densities
1.1 ʹ1.3 ʹ1.5
5Faecal
samplingWet sieving under
high pressure waterDensity separation
(surfactant) IntroductionMaterial & MethodsResultsApplicationsConclusionAmbient water
Hot water
Particles of densities
1.1 ʹ1.3 ʹ1.5
Particles of density
0.9 5Faecal
samplingWet sieving under
high pressure waterDensity separation
(surfactant) IntroductionMaterial & MethodsResultsApplicationsConclusionAmbient water
Hot water
Particles of densities
1.1ʹ1.3ʹ1.5
Particles of density
0.9Photography
Photography
6Image processing
Counting with ImageJ
software IntroductionMaterial & MethodsResultsApplicationsConclusion 7 Adjustment on a two exponential model (Grovum and Williams, 1973)Total mean retention time = MRT1 + MRT2 + TT
Mixing
compartments Flow compartments Rumen IntroductionMaterial & MethodsResultsApplicationsConclusion 8 IntroductionMaterial & MethodsResultsApplicationsConclusionNo results for particles of 0.5mm size
8 IntroductionMaterial & MethodsResultsApplicationsConclusionNo results for particles of 0.5mm size
Quadratic response of density
with an optimum between 1.1 and 1.3In the digestive tract
8 IntroductionMaterial & MethodsResultsApplicationsConclusionDigestive
tract RumenNo results for particle of 0.5mm size
Quadratic response of density
with an optimum between 1.1 and 1.3In the digestive tract
In the rumen
9 IntroductionMaterial & MethodsResultsApplicationsConclusionResponse of mean retention time to size
No effect for densities 1.1 and 1.3
Increase with size for densities 0.9 and 1.5
22IntroductionMaterial & MethodsResultsApplicationsConclusion