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ANIMAL SCIENCE 435 APPLIED DAIRY FARM EVALUATION Leo Timms Iowa State U. Spring Semester, 2015 1:10 – 2:00 M-W 1805 Gilman 8:00 – 9:50.

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Presentation on theme: "ANIMAL SCIENCE 435 APPLIED DAIRY FARM EVALUATION Leo Timms Iowa State U. Spring Semester, 2015 1:10 – 2:00 M-W 1805 Gilman 8:00 – 9:50."— Presentation transcript:

1 ANIMAL SCIENCE 435 APPLIED DAIRY FARM EVALUATION Leo Timms Iowa State U. ltimms@iastate.edu Spring Semester, 2015 1:10 – 2:00 M-W 1805 Gilman 8:00 – 9:50 am Fri. 104 /124 Kildee

2 Instructors: Dr. “Leo” Timms, 123 Kildee Hall, 294-4522, 515- 291-7371(cell), 232-5058 (home), ltimms@iastate.edu Dr. Pat Gorden, Vet Med, 515-414-6133, pgorden@iastate.edu Mike Bahl, 563-599-2352, mikebahl@iastate.edu German Carujo, 515-520-3523, gcorujo@iastate Many others along the way!

3 Course materials:  Under AS 435 class in computer lab http://www.anslab.iastate.edu/Class/AnS435/

4 ARE YOU PREPARED?  Herd Visit  PC DART on computer  Your herd on PC DART  Herd Detective  Dairy Comp 305 (no one yet)

5 DHIA INDIVIDUAL COW, HERD SUMMARY, AND QUILTING WORKSHOP Leo Timms Iowa State U.

6 HOWDY, I’M LEO I’m a dairy guy!

7 RECORDS Data is: **Accurate!!! **Timely **Precise measurements ** Human data entry (raw/ calculated) Snapshots / photographs Who is (not) in the picture? What time frame? Today? Yesterday? Does picture represent what I’m looking for? Interpretation depends on yesterday!!

8 MONITORING IS A MUST!!!!

9 9 Records Evaluation When evaluating records, always consider how the data may be influenced by statistical errors: –Averages – (small numbers, wide range) –Bias –Momentum –Lag –Variation

10 10 Data Evaluation Momentum – Influence that previous measurements have on a parameter. Lag – The time it takes for a parameter to show a change in response to a problem or management change –Ex.– Rolling Herd Av -Calving Interval

11 11 Data Evaluation Variation – For all calculations there is an underlying distribution of individual performance. It is possible that the status of problem animals can be hidden behind an acceptable average. Sometimes it is important to look at the individual data that lies behind a summary parameter.

12 BENCHMARKING What is a benchmark??? REFERENCE POINT!!! Where I’m at! Where I want to go! Where others are at! Maximum / minimum! Optimum! Realistic!!!!!!!!!!

13 BENCHMARKING SCC/ REPRO / HEALTH HERD OR INDIVIDUAL COW? Lowest SCC vs maximal healthy udders healthy udders Highest Preg vs Get all cows Rate pregnant in Rate pregnant in timely manner timely manner

14 Individual cows ????

15 DHI – 202!!!!!!!

16 TWO MINUTE DRILL!!!

17 Milk production EXPENSESINCOME Labor Feed and nutrition Quantity! Quality! utilities

18

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20 1/14/2015

21 ASSIGNMENT 1 ANSWER MATRIX

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23 BREED! HERD TYPE? HERD GOALS?

24 ASSIGNMENT 1 ANSWER MATRIX TOPICPARAMETER# BEST ONE??? GOALS MILK RHA – MILK + MILK/COW 150 DAY MILK 881881 MILK /COW 2X: 80-85# 3X: 90+ # SCC AVERAGE SCC AVERAGE LINEAR SCORE % COWS >200,000 OR 1.1M $ LOSS 62331623313 AVERAGE SCC / LINEAR <200,000 OR < 4.0 REPRO PREG RATE S/C or P % heats Conc Rate Calving Int. Days open Heat Int. Bred BNP 5 3 1 3 1 2 PREGNANCY RATE > 20% (22-25%) CULLING CULL RATE COWS ENTER / LEAVE HERD % INVOLUNTARY CULL COWS DEAD4331 % culled:< 30%; invol. < 15% Reasons and when WOW???????? REPLACE. % STILLBORN OFFSPRING BORN *** HEIFERS TO CALVE 181181 MILK COMP Milk Fat Fat and Protein11 RHA # ; % GENETICS Average merit $ AI1 FEED / $ # feed consumed Feed cost /cwt milk11 INCOME OVER FEED COSTS ????????????

25 ASSIGNMENT 2  Go to website: drms.org  Peruse the site (you will use)  Login: UN: S042E003 (all zeroes) PW: ISUE1207  Go to web reports  Type in your herd code (class site)  Get copy of herd 202 and save

26 3

27 WHAT IS THE AVERAGE WEIGHT IN THIS ROOM? WHAT DOES IT MEAN AND WHO CARES?


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