Servi-Tech Laboratories

Servi-Tech Laboratories
MP2 = Making the Planet More Productive
Hastings NE
Dodge City KS
Amarillo TX
Other Cattle as Percent of Cattle and Calves: USDA-NASS 2007 Census of Agriculture
“They say the only two things in life
that are certain are death and taxes. ...
... But at least death doesn't get worse
every time the Congress convenes.”
Jonathan Pond
DROWNING IN DATA,
THIRSTING FOR
KNOWLEDGE
SHARPENING UP THE FEED ANALYSIS TOOL
FOR FEEDLOT MANAGEMENT
2014 FEEDING QUALITY FORUM
KEARNEY, NEBRASKA – AUGUST 19
AMARILLO, TEXAS – AUGUST 21
Fred Vocasek
Sr. Lab Agronomist
Servi-Tech Labs
“BUSINESS PROCESS MANAGEMENT”
Feedstuffs
Beef
Grain/Forage
Commodities
Receiving
Storage, Handling
Processing, Mixing
Delivery to bunk
Consumption
HOW CAN LAB ANALYSIS DATA HELP?
Samples
Client info.
Receiving
Preparation
Analysis
QA, Data mgmt.
Report of results
Variability
Predictable
• Can we manage it?
• anticipate?
• adjust?
Unpredictable
• Can we measure it?
• identify
• quantify
• isolate
Commodities
Grain/Forage
Receiving
SAMPLE
Storage, Handling
SAMPLE
SAMPLE
SAMPLE
SAMPLE
SAMPLE
Processing, Mixing
Delivery to bunk
Consumption
SAMPLE
SAMPLING IS CRITICAL
Example:
• storage conditions
• storage time
• “stratification”
• labeling, ID
FIELD VARIABILITY
Corn grain yield,
bu/acre
275
35
230
31
190
25
150
20
110
14
965
425
YIELD VARIABILITY
Estimated silage yield,
tons/acre
35
31
25
20
14
9
4
Frequency distribution
“normal” variability
Number of results
“ideal”
ANALYTICAL RESULT
specification
average (mean)
standard deviation
“Normal” variability – the reality
Simple mathematical
averages can mislead!
Calcium, % Ca
84 samples
0.228% Ca = average
average
The method matters
Compare apples-to-apples!
Oven:
63.6%
- 3.51%
Koster:
60.1%
Oven:
66.6%
- 3.43%
Microwave: 63.2%
The method matters
Microwave
Koster
Commodities
Grain/Forage
Receiving
SAMPLE
Storage, Handling
Processing, Mixing
Delivery to bunk
Consumption
Crude Protein %
BEEF
Corn,
high moist.
Corn
silage
Gluten feed
(wet)
Distillers
grains (wet)
Servi-Tech Laboratories survey
typical
Median
“mid-50%*”
“mid-80%**”
Count
10
8.7
8.4 – 9.2
8.0 – 9.7
7,910
8
8.1
7.3 – 9.1
6.7 – 10.9
23,321
22
22.0
20.6 – 24.1
19.6 – 27.8
1,971
28
30.6
28.9 – 32.3
27.5 – 34.1
24,656
from survey of Servi-Tech feed analysis results,
2006-2013, including Dodge City, Hastings, &
Amarillo laboratories
* 25th & 75th percentiles;
** 5th and 95th percentiles
Crude Protein %
BEEF
S-T
High moisture corn
BEEF
S-T
Corn silage
5.0
6.0
7.0
9.0
8.0
10.0
11.0
12.0
S-T
BEEF
Gluten feed (wet)
BEEF
S-T
Distillers grains (wet)
15.0
20.0
25.0
30.0
35.0
13.0
Acid detergent fiber, ADF%
BEEF
Corn,
high moist.
Corn
silage
Gluten feed
(wet)
Distillers
grains (wet)
Servi-Tech Laboratories survey
typical
Median
“mid-50%*”
“mid-80%**”
Count
3
3.4
3.0 – 3.8
2.7 – 4.5
1,293
27
25.8
23.0 – 29.1
20.9 – 32.5
16,731
12
9.6
8.3 – 16.3
7.6 – 13.7
232
16
13.7
11.7 – 16.8
10.2 – 21.2
5,249
* 25th & 75th percentiles;
** 5th and 95th percentiles
Acid detergent fiber, ADF%
High moisture
corn
BEEF S-T
S-T
BEEF
Gluten feed (wet)
0
4
2
Distillers grains
S-T
10
8
6
12
14
16
BEEF
(wet)
S-T BEEF
Corn silage
8
12
16
20
24
28
32
36
Commodities
Grain/Forage
Receiving
Storage, Handling
SAMPLE
SAMPLE
SAMPLE
SAMPLE
SAMPLE
Processing, Mixing
Delivery to bunk
Consumption
VARIABILITY IN MIXING
• particle size
• ingredient sequence
• dead spots
• component wear
• material buildup
• overfilling, underfilling
MIXER TEST
• Preparation
• ten (10) equally spaced samples over time
• choose “micro-ingredient”; less than 0.5% of final
feed batch
• more difficult to incorporate into large batch
• salt??
• Evaluation
• physical analysis; sieve, moisture
• chemical analysis by laboratory
• Calculation
• average (mean) & standard deviation
• coefficient of variation ... CV% = (StDev / Avg.) * 100
MIXER TEST RESULTS
Crude protein
Calcium
% CP
% Ca
Non-protein nitrogen
Manganese
% NPN
ppm Mn
Commodities
Grain/Forage
Receiving
Storage, Handling
Processing, Mixing
Delivery to bunk
Consumption
SAMPLE
PROCESS “CONTROL”
“in control”
drift
bias
step change
MIXER TEST RESULTS - DATA
Sample
% CProtein
Sample
% CProtein
1
17.47
15
19.01
2
17.95
16
18.27
3
18.91
17
18.60
4
18.87
18
19.46
5
18.35
19
18.48
6
18.44
20
18.24
7
18.71
21
17.73
8
18.60
22
18.40
9
18.80
23
19.26
10
18.84
24
18.64
11
19.41
25
19.46
12
18.82
26
19.23
13
18.19
27
18.53
14
18.75
28
18.12
MIXER TEST RESULTS - CALCULATION
Specification ...................... 18.5%
Average ............................. 18.63%
Standard deviation ............ 0.50
Coefficient of variation ..... 2.7% CV
2.7% = (0.50 / 18.63) * 100
MIXER TEST RESULTS
7
6
5
4
3
2
1
0
17.00
17.25
17.50
17.75
18.00
18.25
18.50
18.75
19.00
19.25
19.50
MIXER TEST RESULTS
% crude protein
10:00
noon
2:00
28 samples
SERVI-TECH ON-LINE TOOLS
ACCESSING FEED ANALYSIS DATA
SELECT DATA
STATISTICAL REPORT
STATISTICAL REPORT
STATISTICAL REPORT
TIME-SERIES GRAPH
choose analysis
print or email PDF
TIME-SERIES GRAPH
TIME-SERIES GRAPHS
FEEDSTUFF HISTORY TRENDS
FEEDSTUFF HISTORY REPORT
FEEDSTUFF HISTORY REPORT
SUMMARY - ROLE OF FEED ANALYSIS
Feed analysis is one tool to help manage variability
•
is part of overall QA/QC program
Variability: predictable and unpredictable
• identify – What kind of variability is there?
• quantify – How wide/narrow is it?
• isolate – What step/process contributes most to variability?
Calculate simple statistics
• average
• standard deviation,
• coefficient of variation, %CV
Evaluate data graphically
• frequency distribution
• time series
THE END
Servi-Tech Laboratories
MP2 = Making the Planet More Productive
Hastings NE
Dodge City KS
Amarillo TX
Other Cattle as Percent of Cattle and Calves: USDA-NASS 2007 Census of Agriculture