implementation of multi objective feed formulation approach by dr. s.m. mutua
TRANSCRIPT
04/12/2023 1
Collaborating Organizations:
04/12/2023 2
Collaborating Institutions:
Egerton University,Department of Animal Sciences,
P. O. Box 538-2011Njoro-Kenya
TEL: 0735-752-823; EMAIL: [email protected]
Ministry of Agriculture, Livestock and Fisheries,State Department of Livestock,
P. O. Box 34188-00100Nairobi-Kenya
TEL: 0735-752-823; EMAIL: [email protected]
and
Fika Systems Limited-NairobiP. O Box 73432-00200,
Nairobi-Kenya, TEL: 020-2495918; EMAIL: [email protected]
Mutua S. M.04/12/2023 3
State Department of Livestock-Nairobi, KenyaAnimal Sciences Department-Egerton University, Kenya
Presented
By
Stanley Mutua
Session overview
• Introduction• Overview of feed industry• Problem domain
• Program development process• Prediction functions
• Milk Yields (MY)• Dry Matter Intake (DMI)• Minimum nutrient excretion (MPE)
• Software validation process• Results of on-farm feeding trials • Potential benefits of MoF-Dairy program
04/12/2023 Mutua S. M. 5
Introduction-1
• Feed industry founded on 3 main dimensions
• Feed manufacturing chain• Who are involved? Dependencies
• Technical dimension • What to feed?/Feed resources
• Nutrition and feeding management• (When and how much to feed)
Principles of Feed Formulation
In Conjunction with Least-Cost Function
i
I
iiXC
1
min
1,...2,11
JJbXa ji
I
iij
ji
I
iij bXa
1
JXa i
I
iij
1
04/12/2023 Mutua S. M. 8
Problem Domain: Limitations of LCF Based on singular objective (ingredients cost only)
• Focused on millers entrepreneurial
gains only
Fails to provide options to:
• Match feeding with animal production
potential
Fails to impose critical formulation goal of:
• Minimum pollutant manure nutrient
excretion into environment
Introduction-2
• Emerging economic, production and policy challenges
• Driving the need for a MoF approach • Entrepreneurial needs /regulatory
mandate
Innovation platform
System Design and Development
Process Improvement Strategic Objective
(PISO-Approach)
Process Re-Engineering
Feed industry actors
Model objects
• Program data objects include
• Users,
• Ingredients,
• Dairy cows
• Feed policy guidelines
Model data organisation
•
Model schematic representation
•
Predictive equations
• Milk Yields (MY)
• Dry Matter Intake (DMI)
• Minimum Phosphorous Excretion (MPE)
Predictive equations
• Milk Yields (MY)
• BF (Butter Fat)
• FCM (Fat Corrected Milk)
Predictive equations
• Dry Matter Intake (DMI)
• FCM (Fat Corrected Milk)
• BW0.75 (Metabolic Body Weight)
• WIM (Weeks in Milk)
Predictive equations
• Minimum nutrient excretion (MPE)
• Minimum nutrient excretion (Min P)
• K (Efficiency of P utilisation)
• P (Feed phosphorous inclusion levels)
• M (Optimal daily milk yield)
Optimizing predictive functions
• Integration of production and policy regulations
• Regulatory guidelines
• CP: P ratio
• Minimum P inclusions
• Least-Cost affordable feeds
• Representing critical formulation goals
Optimizing Formulation Objectives
Integration of production and policy
regulations
• Regulatory guidelines
• Quality and Pollution
• Energy: CP
• CP: P ratio
Max milk production
Minimum P inclusions• Least-Cost affordable feeds
Representing critical formulation goals
In Conjunction with Least-Cost Function
i
I
iiXC
1
min
1,...2,11
JJbXa ji
I
iij
ji
I
iij bXa
1
JXa i
I
iij
1
Available Ingredients
04/12/2023 Mutua S. M. 24
MOF-Formulation Approach(Formulation design)
Ingredient Ingre-Group
Must-include
CP % P % CP:P ratio
Price/100kg
Safe max
1 Dairy premix M X
2 Limestone M X
3 DCP M X
4 Energy rich source(s)
5 Wheat bran E 15.15 0.92 16.46
6 Maize germ E 10.53 0.53 19.87
7 Protein rich source(s)
8 sunflower cake meal
P 26.88 0.57 47.16
9 Cotton cake meal
P 29.29 0.62 47.24
04/12/2023 Mutua S. M. 25
MOF-Formulation Approach(Ingredient, ingredient grouping and nutrition data)
Formulation objectives
Ingredient Ingre-Group
CP:P ratio Price/ TDN%
Price/CP%
Price/100kg
1 Dairy premix M
2 Limestone M
3 DCP M
4 Energy rich source(s) E
5 Protein rich source(s) P
6
7
8
9
04/12/2023 Mutua S. M. 26
MOF-Formulation Approach(Formulation outline)
Formulation objectives
Ingredient Inclusion %
Ingre-Group
Must-includ
e
CP:P ratio
Price/ TDN%
Price/CP%
Price/100kg
Safe max
1 Dairy premix M X
2 Limestone M X
3 DCP M X
4 Energy rich source(s)
E
5 Protein rich source(s)
P
Sub-total 50%
6
7
8
RequirementsOptimal range:
100% Min: Min:Max:
04/12/2023 Mutua S. M. 27
Software program validation process
Compare milk yield and quality,
nutrient excretion and cost from dairy
rations formulated with LCF and MOF
approaches
28
Materials and Methods
Study site
Egerton University-Ngo’ngo’ngeri Farm
04/12/2023 Mutua S. M.
29
Materials and Methods Animal management
12 Dairy Cows at same
Breed = Friesian
Age = 54 months
Lactation = Third (3rd )
Advance De-Worming (2 weeks)/Albendazole
10%
Placed in cross-over repeated measures design,
with 6 replications each for two (2) periods
04/12/2023 Mutua S. M.
30
Materials and Methods
Animal experimental design
04/12/2023 Mutua S. M.
31
Statistical analysis
One-way (no Blocking) ANOVA) using GenStat Discovery Edition-3 statistical software (2007);
Where: Yij = Overall cow performance under the ith diet
µ = the overall mean effect αi = the effect of the ith diet (i = LCF, MOF)
eij = the random error
04/12/2023 Mutua S. M.
ijiijY
Results and Discussion Milk yield, milk composition and manure P
levels
04/12/2023 32Mutua S. M.
Concentrate diet type
Herds average
LCF SED MOF SED
Yield (kg/day) Actual Milk 12.00 13.35 4.695 13.39 4.483
Milk Composition (%) Butter fat 3.760 3.914 0.098 4.019 0.165
Protein 3.135 3.154 0.022 3.152 0.033 Phosphorous 0.081 0.148 0 0.151 0.009Manure Composition (%) P-Manure 0.609 1.71 0 1.66 0.026
Body Weight Mean (kg) Change (kg/day)
420 430.600.225
10.990.108
425.700.207
8.7700.108
OthersConcentrate efficiencyCrude protein: Phosphorous ratioCost price/kg feed (Kenya shillings) 1USD ≡ 100 Kshs
-- -
0.3423.02
30.38
-- -
0.3522.75
23.44
-- -
Innovative product and service
•• Improved efficiency with which to formulate dairy rations
• Integration of economic, production and policy needs as critical formulation goals
• Blending of entrepreneurial needs as well as institutional mandates
PARADIGM SHIFTFROM TO
Singular Objective
IS
One Factor Methodolo
gy
Multiple Objective
IS
Many Factors
Methodology
04/12/2023 35
Acknowledgement
Mutua S. M.
END
Thank you ALL for listening
04/12/2023 36