New DHIA Tools for Benchmark Comparisons of Production, Reproduction and Udder Health The DairyMetrics Program from DRMS

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1 New DHIA Tools for Benchmark Comparisons of Production, Reproduction and Udder Health The DairyMetrics Program from DRMS Daniel W. Webb University of Florid a Dairy Herd Improvement (DHI) records have been collected and summarized for over seventy years. Resulting information has been utilized for individual herd and cow management, genetic evaluation of bulls and promotion of breeding stock. More recently, herd owners and managers have compared their herd's performance to that of other herds or to desired benchmarks. A new program offered by Dairy Records Management Systems (DRMS) uses internet technology to automate DHI herd benchmarking. This program is called DairyMetrics and is available now from Authorized users can sign on and compar e their herd to groups of herds selected from those whose records are processed at DRMS. Additional information on DairyMetrics is provided on the next page, entitled Product Launch Review. An example of a DairyMetrics report is shown on the following pages. In this example, the University of Florida herd is compared to 397 herds located in Alabama, Georgia and Florida. A total of 73 herd parameters are compared with the average, number of herds, standard deviation, lowest herd, highest herd and percentile rank. Data are presented in five categories : GEN RAL, PRODUCTION, REPRODUCTION, GENETICS AND UDDER HEALTH. In this example,under PRODUCTION, the University Herd has a rolling herd average (RH A Milk) of 22,016, compared to 17,329, the average of 397 herds. This puts the University Herd in the 94 percentile (only 6% of the herds are higher). The standard deviation is 3031 lbs which expresses the variability of the herds in the average. In UDDER HEALTH, Actual somatic cell count (SCC) is 391, compared to and average of 399 in 237 herds. This puts the University Herd in the 53 percentile (53% of the herds are lower). The lowest herd has a SCC of 101, the highest herd is 1,334. Future modifications planned for DairyMetrics include the ability to select herds for a group comparison and storage of selection criteria to make future runs less burdensome. 32

2 Product Launch Revie w / April DAIRY /RECORD S MANAGEMENT SYSTEMS Performance Evaluation Using DairyMetrics How am I doing? There are many ways to measure performance - comparison against standards proposed by the experts, comparison against your past performance or comparison agains t others. Regardless of the method, almost everyone needs to know how they are doing so they can identify weaknesses and acknowledge improvements. Performance evaluation is used in all facets of life including sports, financial analysis, and consumer comparisons. Comparison analysis can also be used to evaluate dairy manager performance. DairyMetrics, a web-based syste m from DRMS, enables producers and consultants to benchmark a herd's performance with the performance of othe r herds (cohorts). Managers can compar e a herd's information relative to herds in a similar "state" or to herds in a desirable "state." Run Report I Clear Cnecks) Comparative analysis wit h DairyMetrics enables you to answer many questions, such as: What is a "normal" number o f breedings in Kansas? Compared to other 500-cow herds, am I culling too much? If I switch from 2x to 3x, what is a reasonable income / feed cost? Last year I lost 8% of my herd to death. What are others doing? How many abortions do 1000-co w herds in the Midwest have? Suppose I move to Kansas an d expand to 600 cows, what reproductive factors are normal? Are my heifers calving at the sam e age as other 400-cow herds? You can begin to see the benefits! The DairyMetrics database is updated nightly and includes information from 3 * Rolling Herd Average Milk O to Benchmark Another Herd to D to q to [J 2ao o'ndgre"er El General E] Production / Bermg Herd Average Mac Roffmg Had Average Fat Boring Herd Average Protein Ten Day Duly Mar. Mdk Cows Ten Day DailyMac.ACCowl Tnnt Dav Daily Fat X Afl Cows = or lea ( pear Rolling Herd Average Milk 0599 and Less Producers who send their DHI A data to DRMS must know their 8-digit herd code number, 4-digit Remote Ac cess Code. You will be asked to provide a personal password. Producer s who do not send their data to DRM S can sign up as a consultant. Consultants must have an accoun t with DRMS and must know the herd's code and 4-digit Remote Access Cod e or use "no herd.". DairyMetrics can be accesse d from '7 by applying filters - a herd is compared to herds with a Rolling Herd Average Milk from 22,000 to 25, Selected Data Percentile % * 77% * 68% ' TD Milk - Milk cows SCC Score SCC score for 1st last cows * Lower is optimum DairyMetrics is free until April 30. Rolling Herd Average Fat Choose cohorts Number of cows PCT cows left herd PCT cows left herd - Died. almost 14,000 herds that are routinel y processed by DRMS. DairyMetrics filters are used to identify cohort herds. Example filters include: only Holsteins, 2x milking, cows, summit milk on 1st lac tation cows over 85, and SC C <200,000. Eighty-five filters and item s can be displayed from the areas o f General, Production, Udder Health, Reproduction and Genetics. Costs : Producers are charged $ 5 monthly for unlimited access ; consultants are charged $150 for 100 accesse s or for one year, whichever comes first % *. 56% * 61% Number of Herds Average ofherds Std Dev Lowest Herd Highes t Herd Example information for Holstein herds milked 2X with cows

3 DairyMetrics Report for UNIV FLA DAIRY RESEARCH May 15, , yd'`nta g; tip.&f4eitlle, GENERAL Numbe r of.her`ds Average St d offlerds Dcv Lowes t Herd. 'Highest- Herd's Number of Cows % Year change Number of Cows -68 6% Num of 1st Lact Cows % Num of 2nd Lad Cows % Num of3rd+lact Cows % PCT in milk on test day 92 61% Days in milk % Age of 1st Lactation cows 24.13% PCT cows left herd 41 *67% PCT cows left herd-died 5 427% Daily VOP-Milk Cows % Daily TFC-Milk Cows % Daily IOFC-Milk Cows % Daily FCPC Milk-Milk Cows % Current Milk Blend Price % PRODUCTION RHA Milk % Year Change in RHA Milk % RHA Protein % RHAFaI % TD Milk-Milk Cows % TD Milk-All Cows % TD PCT Fat % Si TD PCT Protein % Summit 1st lactation 84 94% Summit 2nd lactation % Summit 3rd+ lactation 97 84% Proj 305 day ME milk % STD 150 day milk % Baby Records Management Systems 34

4 Number Average Std Lovest Highes t fdai yt tetrics elected Data Percentile of Herds of Herds Deg nerd Ner d REPRODUCTION Proj min days open-total herd 176 *54% Proj min calving interval-total herd 15 *56% Current actual Calving interval 14.8 *72% Days open-proj min-1st lact 213 *71% Days open-proj min-2nd lact 161 *47% Days open-proj min-3rd+ Tact 151 *34% Voluntary Waiting Period(VWP) 70 99% Days to 1st serv(%herd< than VWP) 18 *57% Days to 1st serv(%herd(vwp to 100D) 76 94% Days to 1st serv-(%herd> than 100D) 6 *4% Days 1st Service-total herd 82 *21% Con PCT for past 12M-1st service 26 14% Con PCT for past 12M-2nd service 27 25% Con PCT for past 12M-3rd+ service 17 11% PCT of heats observed for year 51 85% Number of abortion in past year 5 *91% Number of calving in past year % PCT Dry less than 40 days 17 *75% PCT Dry more than 70 days 37 *59% Dairy Records Management Systems 35

5 I' Nuiitbe r Data Percentile I of Herds GENETICS Average Std Lowest Highes t of Herds Del; Herd Herd PCTile rank of proven Al sew bulls 52 59% PCTile rank of young AI sery bulls 89 93% PCT of herd bred to proven Al bulls 86 81% PCT of herd bred to young bulls 14 77% PCT of herd bred to non-al bulls 0 11% Net Merit$ for 1st lactation cows 78 52% Net Merit$ for replacements % Net Merit$ for all cows 63 73% PCT of replacements ID by sire 93 90% PCT of cows identified by sire 49 61% UDDER HEALTH SCC Actual 391 *53% SCC Score 3.3 *52% PCT of all cows(sccs of 0-3) 61 69% PCT of cows(<41d with SCCS >4) 24 *67% PCT of 1st tact (SCCS of 0-3) 69 68% PCT of 2nd lact (SCCS of 0-3) 63 68% PCT of 3rd lact (SCCS of 0-3) 49 58% PCT of cows culled for mastitis 3 *64% SCC score for 1st lact cows 2.9 *44% SCC score for 2nd lact cows 3.1 *51% SCC score for 3rd lact cows 3.9 *53% SCC score for cows D 3.4 *76% SCC score for cows D 2.9 *39% SCC score for cows D 3.3 *36% SCC score for cows 306+ D 3.9 *61% PCT VOP loss 2 *67%