INSIDE THIS ISSUE: Managing Contagious Mastitis 2-3 Managing Environmental Mastitis 3-4 Corn Silage Dry Down Days 4 Beat the Heat: Summer Heat Abatement Strategies 5 Making Sure Your Kernel Processor is Doing its Job 6-8 Feed Directive 8 Late Summer Cutting Management of Alfalfa 9- 10 Push 11 Calf Coats 12 Antibiotics in Feed 13- 14 Production Index 15- 25 Eastern Wisconsin DHIC Newsletter AUGUST, 2016 VOLUME 8, ISSUE 8 An EEO/Affirmative Action employer, University of Wisconsin-Extension provides equal opportunities in employment and programming, including Title IX requirements. Health Risks, Production Loss and Reproductive Stress Heat stress can have a major impact on the health, producƟon and reproducƟve success of your herd. Based on a milk price of $13/ cwt, researchers calculated annual losses of $897 million for the dairy industry in the United States even if producers used fans, sprinklers, high‐pressure evaporaƟve cooling, and other heat abatement strategies to alleviate summer stress. This loss is almost $100 per dairy cow per year. If no heat abatement systems are used, the total annual loss would be $1.5 billion, or about $167 per dairy cow per year. Most dairy cows start to experience heat stress at temperatures over 70 degrees or a heat index (a combinaƟon of heat and humidity) of about 68 degrees. This heat stress can cause a loss in appeƟte, which can lead to a drop in milk producƟon by 10 to 20 percent. Milk fat and protein yield also can decrease. Heat stress also suppresses the immune system, leading to increased suscepƟbility and severity of common diseases, such as masƟƟs, retained placenta and metriƟs, along with higher probability for metabolic diseases like ketosis and displaced abomasum. When cows are hot, they will aƩempt cooling maneuvers by conƟnually moving around or standing, thus impacƟng the needed resƟng Ɵme for health sustainability well‐being and overall producƟvity. The table below shows the esƟmated annual producƟon and economic losses for dairy cows and duraƟon of heat stress periods using minimal heat abatement strategies in Wisconsin (St‐Pierre et al. 2003). Heat can also have long‐term effects on reproducƟve suppression and lowered ferƟlizaƟon rates. In fact, reproducƟon suffers more from heat stress than milk producƟon. According to Sartori et al. (2002), inseminated heat‐stressed cows experienced a 55 percent ferƟlizaƟon rate, 33 percent lower than inseminated cows that were not heat stressed. Photo and arƟcle copied from “The Monthly MasƟƟs Minute” July issue. State Dry maƩer intake reducƟon (lb/cow/yr) Milk producƟon loss (lb/cow/yr) Increase in average days open Increase in reproducƟve culling (%) Increase in deaths (%) Annual hours of heat stress (%) Economic loss ($/cow/yr) WI 201 403 9 0.6 0.1 9 72
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Eastern Wisconsin DHIC Newsletter VOLUME 8, ISSUE 8 AUGUST ... · 6-8 Feed Directive 8 Late Summer Cutting Management of Alfalfa 9-10 Push 11 Calf Coats 12 Antibiotics in Feed 13-14
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I N S I D E T H I S
I S S U E :
Managing
Contagious
Mastitis
2-3
Managing
Environmental
Mastitis
3-4
Corn Silage Dry
Down Days
4
Beat the Heat:
Summer Heat
Abatement
Strategies
5
Making Sure Your
Kernel Processor
is Doing its Job
6-8
Feed Directive 8
Late Summer
Cutting
Management of
Alfalfa
9-
10
Push 11
Calf Coats 12
Antibiotics in Feed 13-
14
Production Index 15-
25
Eastern Wisconsin DHIC Newsletter
A U G U S T , 2 0 1 6 V O L U M E 8 , I S S U E 8
An EEO/Affirmative Action employer, University of Wisconsin-Extension provides equal opportunities in employment and programming, including Title IX requirements.
Health Risks, Production Loss and Reproductive Stress
Heat stress can have a major impact on the health, produc on and reproduc ve success of your herd. Based on a milk price of $13/cwt, researchers calculated annual losses of $897 million for the dairy industry in the United States even if producers used fans, sprinklers, high‐pressure evapora ve cooling, and other heat abatement strategies to alleviate summer stress. This loss is almost $100 per dairy cow per year. If no heat abatement systems are used, the total annual loss would be $1.5 billion, or about $167 per dairy cow per year. Most dairy cows start to experience heat stress at temperatures over 70 degrees or a heat index (a combina on of heat and humidity) of about 68 degrees. This heat stress can cause a loss in appe te, which can lead to a drop in milk produc on by 10 to 20 percent. Milk fat and protein yield also can decrease. Heat stress also suppresses the immune system, leading to increased suscep bility and severity of common diseases, such as mas s, retained placenta and metri s, along with higher probability for metabolic diseases like ketosis and displaced abomasum.
When cows are hot, they will a empt cooling maneuvers by con nually moving around or standing, thus impac ng the needed res ng me for health sustainability well‐being and overall produc vity. The table below shows the es mated annual produc on and economic losses for dairy cows and dura on of heat stress periods using minimal heat abatement strategies in Wisconsin (St‐Pierre et al. 2003). Heat can also have long‐term effects on reproduc ve suppression and lowered fer liza on rates. In fact, reproduc on suffers more from heat stress than milk produc on. According to Sartori et al. (2002), inseminated heat‐stressed cows experienced a 55 percent fer liza on rate, 33 percent lower than inseminated cows that were not heat stressed. Photo and ar cle copied from “The Monthly Mas s Minute”
July issue.
State
Dry ma er intake
reduc on (lb/cow/yr)
Milk produc on
loss (lb/cow/yr)
Increase in average days open
Increase in reproduc ve culling (%)
Increase in
deaths (%)
Annual hours of heat
stress (%)
Economic loss
($/cow/yr)
WI 201 403 9 0.6 0.1 9 72
P A G E 2 V O L U M E 8 , I S S U E 8
E A S T E R N W I S C O N S I N D H I C N E W S L E T T E R
Managing Contagious Mastitis
A PRACTICAL LOOK AT CONTROLLING CONTAGIOUS MASTITIS 1. Prepare teats properly prior to milking. Udders should be dry, and teats should be cleaned and dried prior to machine a achment using single‐service paper towels or individual cloth towels that have been laundered and dried a er each milking. Nitrile milking gloves help prevent the spread of bacteria, and CRI Nitrile Milking Gloves are ahead of the compe on with their textured surface for enhanced performance, offering an advantage with superior non‐slip gripping power.
2. Use adequately sized, properly func oning milking equipment. Use milking machines in a proper manner on properly prepared cows. Avoid unnecessary air admission into the teat cups during unit a achment, machine stripping and unit take‐off that can cause irregular vacuum fluctua ons.
3. Disinfect teats. Use an effec ve product a er every milking. Postmilking teat disinfec on is the single most effec ve prac ce to reduce the rate of new infec on by contagious pathogens.
4. Assess clinical cases for treatment decisions. Most cases of clinical mas s other than those caused by Strep ag are only minimally affected by an bio c therapy during lacta on. Work together with the herd veterinarian to design a treatment protocol for mild, moderate and severe cases of clinical mas s.
5. Use dry cow therapy. Treat each quarter of every cow at dry off with a single dose of a commercially formulated, FDA‐approved dry cow treatment product.
6. Consider culling chronically infected cows. Cows infected with Staph aureus or Mycoplasma spp. are difficult to treat and present a risk to noninfected cows in the herd. There is no treatment for Mycoplasma spp. infected cows.
7. Implement a biosecurity plan. If new animals are purchased, culture milk from them before adding them to the herd.
8. Establish an ac ve milk quality program. A key to controlling contagious mas s is iden fying carriers so they can be separated from uninfected herdmates. AgSource offers individual cow cultures to accomplish
this goal. Monitoring progress also is essen al. AgSource’s DHI tes ng and Udder Health Management Package allows you to measure individual cow and herd subgroup trends. These tools provide faster and more accurate feedback on your herd’s progress than monitoring your bulk tank soma c cell count. It also is important to con nue with regular and frequent bulk tank cultures, available from AgSource, to monitor progress against targeted mas s bacteria. Achievable goals for controlling contagious mas s include: 0 percent of cows infected with Strep ag and Mycoplasma spp.; and less than 5 percent of cows infected with Staph aureus.
A SNAPSHOT OF CONTAGIOUS MASTITIS PATHOGENS Mas s causing bacteria can be divided into two groups based on the source of infec on and include contagious and environmental pathogens. The major contagious pathogens are Streptococcus agalac ae, Staphylococcus aureus, and Mycoplasma species. With the excep on of some mycoplasmal infec ons that may originate in other body sites and spread systemically, these three organisms gain entrance into the mammary gland through the teat canal. Contagious organisms are well adapted to survival and growth in the mammary gland and frequently cause infec ons las ng weeks, months or years. Streptococcus agalac ae Strep ag can be controlled and eradicated from a herd by good milking prac ces including proper udder prepara on using single use towels, post‐milking teat dip and trea ng and segrega ng infected animals. This is one of the few organisms that responds very well to most commercial intramammary an bio c products in both the lacta ng and dry period. However, if a chronic infec on does not respond to therapy, the cow should be culled to prevent infec ng other cows. Strep ag eradica on is rela vely easy and cost‐effec ve. By culturing cows to determine their infec on status, infected animals can be treated effec vely to eliminate the bacteria. Staphylococcus aureus Staph aureus commonly produces long‐las ng infec ons persis ng through the lacta on and into subsequent lacta ons. Staph aureus infected cows should be iden fied and milked last, or milked with a separate unit from those used on uninfected cows. An bio c therapy during lacta on usually does not eliminate infec on. Infected quarters not responding to a single regimen of
Managing Environmental Mastitis
therapy are generally unresponsive to addi onal lacta on treatment, regardless of culture and sensi vity tests. Dry cow therapy may give be er results than treatment during lacta on, but even then, chronic infec ons can persist into subsequent lacta ons. Staph aureus infec on status of cows should be one of the considera ons when making culling decisions. Mycoplasma species There is no effec ve treatment for mycoplasma mas s, but the disease can be controlled by iden fying infected animals through culturing milk samples from all cows in
the herd, followed by segrega on and/or culling the infected animals. If Mycoplasma spp. infected cows remain in the herd, they should be milked last or with a separate unit from those used on uninfected cows. Rigid sanitary precau ons must be followed including the use of single‐use towels. Mycoplasma spp. does not respond to an bio c therapy during the lacta on or dry period so infected cows should be culled. For more informa on about AgSource products and services or to become a member, contact your Field Technician or call AgSource at 800‐236‐0097.
A PRACTICAL LOOK AT CONTROLLING ENVIRONMENTAL MASTITIS 1. Udder prepara on. Milking cows with wet udders and
teats is likely to increase the incidence of environmental mas s. Teats should be clean and dry prior to a aching the milking unit. When udders are extremely dirty and warrant a thorough cleansing, washing the teats, not the udder, is recommended. The cracks and crevices of the human hand serve as excellent places to harbor and/or transfer bacteria to the teat. Nitrile gloves help prevent the spread of bacteria while protec ng the hand. CRI Nitrile Milking Gloves are ahead of the compe on with their textured surface for enhanced performance, offering an advantage with superior non‐slip gripping power.
2. Predipping. Predipping teats with a germicidal teat dip
reduces new cases of environmental mas s during lacta on. Extreme cau on should be taken to ensure the teat dip is removed from the teats before milking machine a achment to prevent contamina ng the milk.
3. Milking Machine Func on. Malfunc oning milking
machines, which result in frequent liner slips and teat impacts, can increase cases of environmental mas s.
4. Immuniza on. Immunizing cows during the dry period
with an Escherichia coli J‐5 bacterin will reduce the number and severity of coliform clinical cases during early lacta on.
5. Lacta ng Cow Therapy. Cure rates following therapy
during lacta on are generally about 50 to 60 percent for the environmental streptococci. An bio cs recently approved for lacta on therapy can be
effec ve against coliform mas s. Iden fying the causa ve agent of each mas s infec on is key to properly managing the milk quality of your herd. AgSource offers individual cow cultures to effec vely accomplish this goal. Monitoring progress is also essen al. AgSource’s Udder Health Management Package allows you to measure individual cow and herd subgroup trends. The New Infec on column (highlighted in blue) in Block C of the Udder Health Management Summary is the best measure of test day to test day progress. The first test (5‐40 Days) in the second and greater lacta on sec on of Block C provides an accurate es mate of mas s that may be a ributed to your dry cow management program and/or environmental mas s. These tools give faster and more accurate feedback on your progress than watching your bulk tank SCC. It also is important to con nue with regular and frequent bulk tank cultures, also offered by AgSource, to monitor progress against targeted mas s bacteria.
6. Diet. Feeding diets deficient in vitamins A or E,
betacarotene, or the trace minerals selenium, copper, and zinc will result in an increased incidence of environmental mas s.
7. Dry Cow Therapy. Dry cow therapy and use of
Orbeseal® on all quarters of all cows is recommended. Together, these prac ces significantly reduce new infec ons during the early dry period. Dry cow therapy alone does not control coliform infec ons.
8. Environmental Management. Herd environments
should be as dry and clean as possible. The environment of the dry, close up and fresh cow is as important as that of the lacta ng cow.
P A G E 3 V O L U M E 8 , I S S U E 8
A SNAPSHOT OF ENVIRONMENTAL MASTITIS PATHOGENS Mas s causing bacteria can be divided into two large groups based on the site of infec on: environmental pathogens and contagious pathogens. Primary environmental pathogens include coliforms, streptococci other than Strep ag, and staphylococci other than Staph aureus. The primary source of environmental pathogens is the surroundings in which a cow lives. Therefore, control methods developed for contagious pathogens are not as effec ve against environmental pathogens. Coliform The coliform bacteria which o en cause mas s include Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca and Enterobacter aerogenes. Coliform infec on rates are about four mes greater during the dry period than during lacta on. The rate is significantly higher during the first two weeks of the dry period, as well as the two weeks before calving. The infec on rate is highest in the early stage of lacta on and decreases as lacta on advances. Infec on rates increase with each succeeding lacta on. Accurate records of new clinical cases, together with milk cultures from clinically infected quarters, help assess the extent of coliform mas s. Unfortunately, this impact is not as easy to measure with bulk tank soma c cell counts, individual cow soma c cell counts, whole‐herd cultures, culture of a subpopula on of cows or culture of bulk tank milk.
Environmental Streptococci Environmental streptococci and coliform infec on rates are nearly iden cal. The percentage of quarters infected with environmental streptococci at any one point in me is generally low and seldom exceeds 10 percent. The impact of environmental streptococci mas s is best assessed by culturing milk from fresh cows, cows going dry and clinically infected quarters. Individual cow soma c cell counts and whole‐herd cultures are less effec ve monitoring schemes. Bulk tank milk bacterial and soma c cell counts can be elevated by infec ons caused by environmental streptococci. However, the extent of environmental streptococci in a dairy herd cannot be reliably assessed by those measurements due to possible contamina on of bulk tank milk by external bacteria. Coagulase‐Nega ve Staphylococcus (CNS) CNS species are the organisms most frequently isolated from bovine milk samples. CNS species usually are designated as “skin flora opportunists,” rather than as environmental or contagious bacteria since CNS are a part of the normal teat skin flora. CNS can colonize the teat canal. Some species also are found free‐living in the environment. A culture may be posi ve for CNS, but this does not mean the quarter is infected. Because CNS are commonly found on teat skin and in the streak canal, they are a common cause of contaminated milk cultures.
Source: AgSource
P A G E 4 V O L U M E 8 , I S S U E 8
E A S T E R N W I S C O N S I N D H I C N E W S L E T T E R
Corn Silage Dry Down Days 2016 (Let Moisture Be The Guide)
Wednesday, August 31 10:00 A.M.—2:00 P.M.
Adell Coop, Adell
Wednesday, September 7 10:00 A.M.—2:00 P.M.
Kettle Lakes Coop, Random Lake
Wednesday, September 14 10:00 A.M.— 2:00 P.M.
Adell Coop, Adell
Wednesday, September 21 10:00 A.M.— 2:00 P.M.
Kettle Lakes Coop, Random Lake
Sponsored by: Adell Coop ♦ Kettle Lakes Coop ♦ New Farm Technologies ♦ Sheboygan County Forage Council ♦ Midwest Forage Association
Beat the Heat: Summer Heat Abatement Strategies
Shade: Shading from direct sunlight is very important. Although shade from trees is the most natural environment, cows will o en compact the area around the trees. Pay a en on to these areas to prolong the life to the trees and to avoid mudholes. Mudholes can result in greater mas s as animals will o en lie in the mud a er milking and before the teat canals close following milking. Portable or temporary shades can be used and rotated so that cows use shade in different pastures while the muddy ones dry. Water: Water is the primary nutrient needed to make milk. Cows drink up to 50 percent more water when the heat index is above 80 percent. A good rule of thumb is there must be at least 3 inches per cow in the pen of space along the water trough; this will decrease compe on and ensure that all animals have access to clean water. Be extra diligent about monitoring waterers to make sure they are clean. Providing water access immediately a er milking will also help keep them cool throughout the day as cows consume most of their daily water intake right a er being milked. Ven la on: One of the ho est places on the dairy farm is the holding pen, due to the high density of the cows. Cows need a minimum of 36 to 48 square feet to prevent heat transfer between cows. When moving cows up to the holding pen, bring up smaller groups instead of a whole pen. Fans will help remove radiant heat. Fans should be spaced across the barn to create good airflow in all areas. Increasing air‐exchange in freestall res ng areas, over feed bunks, and in the holding area and parlor is important. Open sidewalls and end walls, and provide a shady res ng area for cows that are outdoors. Sprinklers: Sprinklers over the feed alley or exit lanes out of the milking parlor (combined with fans) provide the best heat removal in most commercial barns. The most effec ve sprinkler systems soak the cows to the skin. The cows will be cooled as the water evaporates. Such cooling devices need to be used with care when mas s or soma c cell count problems occur. The object is to wet the cow’s back without having water run onto the udder. Soakers over the beds should be avoided as it causes
increased moisture, which can contribute to environmental mas s. Remember, air velocity is needed for quick evapora on. If there is crowding in areas, adding more water to the environment will only increase the humidity and cause even more stress. Some barns may require addi onal circula on fans on s ll days to maintain enough air velocity to evaporate water. Alterna ve Breeding Techniques: Reproduc on is always a top concern for dairy farmers but especially becomes a concern in mes of heat stress. The large decrease in reproduc on due to heat stress has mo vated much research into ways to increase pregnancy rates in the summer (Hansen and Aréchiga, 1999; Jordan, 2003). Two popular management strategies used to offset heat stress on reproduc on are embryo transfer and delayed insemina on (seasonal herds). Embryo transfer can significantly improve pregnancy rates during the summer months by bypassing the period in which the embryo is more suscep ble to heat stress, while herds that are more seasonal focus op mal calving and milk produc on during the cooler season. For more informa on on improving fer lity in the summer, check out: Economics of Heat Stress: Implica ons for Management. The Takeaway: Remember, the effects dairy cows feel are much greater than that of what we feel. Don’t use your own comfort levels to indicate the need to help cool the herd in the summer heat. Source: “The Monthly Mas s Minute” July issue.
P A G E 5 V O L U M E 8 , I S S U E 8
For cows to digest the starch in corn efficiently, the corn kernels in chopped and processed whole‐plant corn must be broken into small par cles. Three decades ago it was thought that effec ve starch u liza on occurred if the corn kernel was merely nicked or broken. With today’s high‐producing animals, we know kernels must be processed into smaller par cles for dairy ca le to get adequate starch u liza on given the short dura on feed residues in the rumen. During harvest, how can I tell if my kernel processor has sufficiently processed the kernel frac on? The right me to determine the adequacy of kernel processing is at the me of harvest when harvester adjustments can be made to correct inadequate processing. However, it can be difficult to see how well the kernels are processed when they are mixed with the stover frac on of the plant. A water separa on technique has been developed that can be used in the field or at the silo to separate the stover and kernel frac ons (Savoie et al., 2004). This simple technique exploits differences in buoyancy between the kernels and stover. Simply put, when placed into a water bath, the stover floats and the kernels sink. The method is simple, requires very li le equipment and can be done in the field or at the silo: Step 1: A suitable container is required to hold water and the crop. A conven onal dishpan works very well or a 5‐gal. pail can be used. Fill the dishpan about 3/4 full of water or the 5‐gal. pail about 1/2 full (fig 1). Step 2: Collect two to three representa ve handfuls of processed crop and place it in the water. Step 3: Gently agitate the material to help separate the kernels from the stover mat (fig. 2). Less than a minute of agita on is required. Step 4: Skim the floa ng stover from the water. This can be done by hand (fig. 3) or by using a strainer ‐ an ice fishing strainer for instance. Step 5: The water will be quite murky and the kernels difficult to see, but they will be at the bo om of the container. To see the kernels, carefully drain the water from the container (fig. 4). Although not necessary, water can be drained through a sieve made of window screen so
floa ng kernels are captured. Step 6: The kernels can be poured onto a cloth or heavy‐duty paper towel and water squeezed from the kernels. The kernels can then be spread out for inspec on and evalua on of the degree of processing. The process works well under most crop condi ons and can even be used to evaluate ensiled corn silage. Post‐storage assessment has less value because op ons to correct processing deficiencies are limited. Very green corn and very wet corn silage can be more challenging to separate so consider these alterna ves to improve the process: When the crop is very green, dark green leaves will
sink with the kernels. These leaves can be separated by hand a er step 5 above. An alterna ve is to par ally dry the sample prior to separa ng. This can be done several ways. A minute or two in a microwave oven typically dries the material sufficiently to ensure good separa on of the green leaves. Material can be spread on a black plas c sheet and placed in the sun for an hour or so to dry it sufficiently to help separate the green leaves.
Ensiled material, especially if ensiled at high‐moisture,
will not separate well. Thoroughly drying the sample in an oven promotes be er separa on.
If a er draining the water from the container (Step 5
above) there is too much stover with the kernels, add some water back to the container, swirl the contents and quickly drain off the water. This second itera on helps remove the remaining stover.
How do I assess whether the degree of processing is sufficient? A er separa on, the assessment of the degree of kernel processing is subjec ve. The presence of many whole‐kernels is a clear indica on processing level is insufficient. If there are almost no whole kernels, but many are simply nicked, cracked or broken, then processing level may be considered barely adequate. Properly processed materials should have almost no whole– or cracked‐kernels. Figure 6 shows three levels of processing, with the material on the right considered adequate.
P A G E 6 V O L U M E 8 , I S S U E 8
E A S T E R N W I S C O N S I N D H I C N E W S L E T T E R
Making Sure Your Kernel Processor is Doing Its Job By: Kevin J. Shinners and Brian J. Holmes
P A G E 7 V O L U M E 8 , I S S U E 8
Figure 1. Chopped whole‐plant corn placed into water.
Figure 2. Gently agita ng material to help the kernels sink to the bo om of the container.
Figure 3. Skimming and removing the floa ng stover.
Figure 4. Carefully draining the water so only the kernels remain in the container.
Figure 5. Example of separated stover and kernel frac ons using the water separa on technique.
Figure 6. Separated kernels showing three levels of kernel processing. Only the material on the right could be considered adequately processed.
P A G E 8 V O L U M E 8 , I S S U E 8
E A S T E R N W I S C O N S I N D H I C N E W S L E T T E R
What should I do if kernel processing is not sufficient? The level of kernel processing is affected by both the cu erhead theore cal‐length‐of‐cut (TLC) and the kernel processor roll clearance. The TLC should be set to provide the effec ve fiber required by your ca le, so processor roll clearance should be the adjustment of choice for changing the level of kernel processing. The roll clearance should be 2 to 3 mm (0.08 to 0.12 inches). This is the thickness of a dime or nickel. Very small clearances over processes the material, reduces harvester produc vity and consumes more fuel. How do I know if my judgment of par cle size is sufficiently accurate? A forage analysis laboratory can conduct a Corn Silage Processing Score (CSPS) test to provide a more analy cal assessment of kernel processing (Mertens, 2005). The CSPS defines starch par cle size and can be used to predict ruminal and total tract diges bility of starch. The CSPS analyzes starch par cle size by sieving the material in a Ro‐Tap Shaker. Material passing a 4.75 mm screen is analyzed for starch content. The percentage of total starch passing through this screen establishes the “Processing Score” (table 1).
The CSPS is a good analy cal tool for assessing the expected performance of the corn silage placed into the silo. Unfortunately, because of the delay in conduc ng
Starch ‐ % of total on or below the 4.75 mm screen
Op mally Processed > 70%
Adequately Processed 50 ‐ 69%
Inadequately Processed < 50%
Youth Exhibitors Will Need to Follow Veterinary Feed Direc ve Star ng in 2017
Beginning January 1, 2017, the U.S. Food and Drug Administra on will require livestock owners to have Veterinary Feed Direc ves (VFDs) to buy some medica ons and medicated feeds that contain an bio cs. Livestock owners will need to obtain VFDs from their veterinarians and will need to present them to purchase these products. VFDs will be required for an bio cs that are also important for human health. The brochure included in this newsle er may be useful to 4‐H, FFA, Junior Holstein Associa on and other youth exhibitors with animal projects along with other livestock owners. Be sure to consult with your veterinarian concerning the impact of the VFD on your animal projects. In addi on, individuals with ques ons may contact Heather Bartley at 608‐224‐4539.
P A G E 9 V O L U M E 8 , I S S U E 8
Difficult alfalfa harves ng condi ons some mes result in farmers being off schedule for late summer harves ng alfalfa. This raises the ques on of best cu ng management of alfalfa harvest as the end of summer approaches. If we want good winter survival and rapid greenup for good yield next year, alfalfa must either: 1) be cut early enough in the fall to regrow and replenish root carbohydrates and proteins or 2) be cut so late that the alfalfa does not regrow or use any root carbohydrates. This has resulted in the recommenda on of a ‘no‐cut’ window from September 1 to killing frost for Wisconsin. However, research in Quebec has helped define this window by indica ng that alfalfa needs 500 growing degree days (GDD, base 410F accumulated un l a killing frost of 250F) a er the last summer cu ng to regrow sufficiently for good winter survival and yield the next year. Thus the date is not important but temperature following cu ng and alfalfa regrowth. This means we can cut as late as 500 GDD will accumulate without hur ng the winter survival. On the other extreme, we can also cut so late that li le regrowth occurs. Cu ng when 200 GDD or less will occur indicates that there will be insufficient regrowth to use significant amounts of root carbohydrates. These plants would also have good winter survival. It is important to remember that we do not need to wait for a killing frost to take the last cu ng. We must only wait un l it is so cool that li le or no regrowth will occur. Thus harves ng in the late fall, when less than 200 GDD will accumulate, minimizes winter injury but, we should remember leaving the alfalfa residue improves overwintering of alfalfa since the reside provides some insula on of the alfalfa crown from cold air temperatures and helps hold snow which further insulates the crown. In summary, we want either to take the last alfalfa harvest early enough that regrowth and root replenishment occurs or so late that li le to no growth occurs. Calcula ng both probabili es tells us the risk of winter injury or kill due to harves ng at different dates during September and October. This data was calculated for in Wisconsin sites where we had 42 years of weather history. In each graph, the blue is the probability of accumula ng 500 GDD a er each week. The maroon area is the probability of accumula ng less than 200 GDD. So the top
line is the probability of accumula ng either 500 GDD or less than 200 GDD a er the indicated date and shows the probability no injury or kill to alfalfa stands harvested on that date. We should assume that the graphs are for very winter‐hardy varie es (winter survival score of 2 or less) and that less winter‐hardy varie es would be at more risk. Op mum soil test levels of soil pH (6.5 or higher) and potassium can also enhance winter survival. We can see that, at both Lancaster and Beloit 500 GDD or more always accumulated a er September 1. And while the probability remained 100% for 500 GDD or more at Beloit, it fell to 74% at Lancaster by September 8. The middle of September through the middle of October was the riskiest me to cut alfalfa in southern Wisconsin over the last 42 years. At Eau Claire, Marshfield and Plymouth 100, 97 and 93 % of the me 500 GDD was accumulated a er September 1, respec vely. Probability of 500 GDD accumula on before a 250F frost fell to about 60 to 70% one week later. Thus, not harves ng a er September 1 is the safe alterna ve but o en mes being a week late was not detrimental. The last half of September was the riskiest with low probability of either more than 500 GDD or less than 200 GDD accumula on. Wai ng ll mid October was o en safe whether or not a frost has occurred. Alfalfa forage quality changes li le during September, so harves ng versus delaying harvest should be based on likelihood of winter injury or survival if the stand is to be kept. The effect of ming late summer cu ngs on winter survival and next year yield depends on the weather following cu ng and the graphs give the risk associated with cu ng mes over the last 42 years.
Dan Undersander Extension Forage Agronomist
September, 2012
Late Summer Cutting Management of Alfalfa
P A G E 1 0 V O L U M E 8 , I S S U E 8
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P A G E 1 1 V O L U M E 8 , I S S U E 8
P A G E 1 2 V O L U M E 8 , I S S U E 8
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E A S T E R N W I S C O N S I N D H I C N E W S L E T T E R
NEWSLETTER FOR EASTERN WISCONSIN DHICRD201001-06701
ROLLING HERD AVERAGES
Milk 3XName Fat ProB %%Cows Age CY
6 / 2016Month of
Test Date M M&C
DCR *
SUPERVISED HOLSTEIN TOP 350 HERDS
43,267 1,709 1,342TOM & GIN KESTELL & SONS H 3X4.0 3.191 3-4 45636/24 102.1 102.137,801 1,375 1,130SIEMERS HOLSTEIN FARM INC H 3X3.6 3.02718 3-5 37386/10 92.6 92.633,162 1,237 1,048MEADOWBROOK HOLSTEINS H 3X3.7 3.2445 3-0 34106/29 97.7 95.432,189 1,275 970ORTHLAND DAIRY LLC H 3X4.0 3.0791 3-0 33086/1 103.9 99.733,327 1,203 987MATHES DAIRY LLC H 3X3.6 3.0202 3-3 32686/16 78.7 78.731,348 1,203 945GREENDALE DAIRY FARM H 3X3.8 3.0630 2-11 32116/22 93.6 93.632,667 1,137 1,010NEW HORIZONS DAIRY H 3X3.5 3.1784 3-2 31986/14 102.9 94.531,086 1,174 962VANDOSKE FARMS H 3X3.8 3.1500 3-3 31906/2 93.6 93.632,864 1,125 995RANDY & ANNE HUTTERER H 3.4 3.050 3-6 31576/2 97.7 97.831,757 1,156 951TONY SIMON H 3X3.6 3.0327 3-0 31446/6 89.5 89.530,045 1,243 909KEVIN & DEBRA KIRSCH H 4.1 3.0228 2-11 31006/21 102.1 102.230,244 1,157 914ROBERT AND PEGGY WEBB H 3X3.8 3.0782 3-4 30956/16 104.0 99.829,434 1,118 924LIBERTYLAND FARMS INC H 3X3.8 3.192 3-5 30496/8 92.5 92.630,634 1,100 936SUNNYSIDE DAIRY FARMS H 3X3.6 3.1364 3-5 30366/8 93.6 93.731,161 1,119 914HI-TOWER-FARMS H 3X3.6 2.9374 3-4 30336/13 93.6 93.730,808 1,117 914MAPLE CREEK DAIRY LLC H 3.6 3.0262 3-5 30316/30 97.7 97.729,918 1,149 888KOHLWEY FARMS LLC H 3X3.8 3.0378 3-5 30286/24 104.0 99.831,617 1,091 931DRAKE DAIRY INC H 3X3.5 2.91809 2-10 30136/17 93.7 93.731,034 1,097 924SOARING EAGLE FARM LLC H 3X3.5 3.01122 2-11 30136/9 103.8 98.829,826 1,078 921THE PARK FARM INC. H 3X3.6 3.1480 3-1 29816/9 103.5 101.530,711 1,116 877IHLENFELD FARMS LLC H 3X3.6 2.9541 3-2 29766/15 102.0 102.129,792 1,137 872MAYER HOLSTEINS H 3X3.8 2.965 4-0 29726/20 93.6 93.629,295 1,104 884SUNRISE ACRES H 3X3.8 3.0177 3-5 29706/14 93.7 93.730,750 1,050 937RODNEY-SUSAN LEITERMAN H 3X3.4 3.1575 3-4 29586/20 91.2 91.231,233 1,032 946BADGER PRIDE DAIRYLLC H 3X3.3 3.0953 2-11 29426/28 104.0 99.829,412 1,094 876GUTTMANN DAIRY LLC H 3X3.7 3.0177 3-5 29426/28 93.6 93.729,541 1,055 916MCCULLEY DAIRY FARM H 3X3.6 3.1240 3-9 29386/17 93.6 93.630,900 1,058 911MATT HELD H 3X3.4 3.0256 3-3 29336/7 93.6 93.629,082 1,055 900MCCULLEY REG. HOLSTEINS H 3X3.6 3.133 3-1 29166/17 93.6 93.628,173 1,051 901CASSIE ZIRBEL H 3.7 3.2101 2-10 29126/8 92.7 92.729,619 1,077 872JOHNSON HILL FARMS LLC H 3X3.6 2.9664 3-4 29096/14 92.2 92.230,578 1,057 894HIGHLAND DAIRY LLC H 3X3.5 2.9351 3-4 29076/15 92.5 92.626,266 1,082 853WOLFGANG DAIRY LLC H 3X4.1 3.3736 2-11 28966/15 92.5 92.628,551 1,082 853A-OK FARMS LLC H 3X3.8 3.0482 3-1 28926/21 103.7 98.229,457 1,061 874FISCHERS CLOVER VIEW FARM H 3X3.6 3.0469 3-1 28876/28 93.7 93.727,560 1,090 844FLY-BY ACRES H 3X4.0 3.1518 3-0 28796/28 93.6 93.727,651 1,059 865RONALD & SUSAN HACKMANN H 3.8 3.1115 3-7 28746/3 97.6 97.629,253 1,013 908BLUE ROYAL DAIRY INC H 3X3.5 3.12055 3-4 28606/20 93.6 93.728,364 1,068 843HANKE FARMS INC H 3X3.8 3.0814 3-2 28556/23 93.6 93.728,293 1,026 885CLOVEREDGE FARM LLC H 3X3.6 3.1480 2-11 28496/21 93.7 93.730,152 1,017 894HIDDEN CREEK DAIRY FARM H 3X3.4 3.0571 3-5 28456/30 93.7 93.728,235 1,054 847VOGEL FAMILY FARM H 3.7 3.0578 3-5 28396/15 93.0 91.928,058 1,025 876MARK & THERESE SCHMIDT H 3.7 3.1286 3-4 28356/7 97.6 97.627,924 1,051 846TOM & MARY DWYER H 3.8 3.079 3-5 28336/15 97.6 97.630,459 1,003 896ROBIN WAY DAIRY H 3X3.3 2.91609 3-0 28256/23 93.6 93.727,874 1,109 827EASTWIND DAIRY FARM H 3X4.0 3.0420 3-6 28206/1 93.5 93.627,257 1,034 854AMERI-KRAHN HOLSTEINS H 3X3.8 3.1190 3-5 28196/27 93.6 93.627,467 1,114 824ROS-LOR DAIRY LLC H 4.1 3.090 3-4 28106/25 97.7 97.728,674 999 879HELMER DAIRY FARM INC H 3.5 3.178 3-7 27976/28 102.1 102.226,267 1,018 846TEEMAR H 3X3.9 3.265 3-0 27846/26 103.4 97.327,991 1,002 864RM HOLSTEINS H 3X3.6 3.1126 3-5 27826/13 93.6 93.628,426 999 861OLD SETTLERS DAIRY LLC H 3.5 3.098 3-2 27726/27 97.7 97.726,474 1,008 846RAGNAR HOLSTEINS H 3.8 3.275 3-3 27686/11 96.8 96.826,289 1,037 811NEW HOME DAIRY LLC H 3X4.0 3.1261 3-6 27646/13 92.5 92.528,827 1,000 854SPLITRAIL ACRES LLC H 3.5 3.0121 3-1 27636/17 97.7 97.728,558 980 867RONALD & CAROL MEINNERT H 3.4 3.077 3-6 27506/8 97.7 97.727,834 987 856JEFF KVITEK H 3.6 3.1142 3-7 27476/21 97.7 97.727,519 1,011 829SANDY LOAM FARM H 3X3.7 3.0285 3-9 27466/15 93.7 93.727,842 1,015 821JAY AND AMY KRAHN H 3X3.7 3.0180 3-0 27416/6 93.5 93.527,343 986 851VANDER LINDEN FARMS LLC H 3.6 3.1141 3-4 27396/24 97.6 97.727,593 1,064 803HILL-LINE DAIRY H 3X3.9 2.9478 3-1 27376/13 104.0 99.828,009 1,002 830RONALD & BEV DEPIES H 3X3.6 3.0241 3-5 27336/29 92.3 92.427,551 979 853STRUTZ FARM INC H 3X3.6 3.11239 3-3 27306/10 89.9 89.927,690 997 829MELICHAR BROAD ACRES H 3X3.6 3.01304 3-0 27246/16 103.4 101.527,435 962 854SAN-RON HOLSTEINS H 3X3.5 3.1530 3-5 27056/15 93.5 93.5
NEWSLETTER FOR EASTERN WISCONSIN DHICRD201001-06701
ROLLING HERD AVERAGES
Milk 3XName Fat ProB %%Cows Age CY
6 / 2016Month of
Test Date M M&C
DCR *
SUPERVISED HOLSTEIN TOP 350 HERDS
28,181 995 818OHEARNS IRISH DAIRY FARM H 3X3.5 2.9523 3-3 27046/24 93.6 93.626,956 979 833SPINDLER FARMS H 3.6 3.1170 2-11 27036/8 97.7 97.726,666 987 820WALL DAIRY H 3X3.7 3.1119 3-10 26976/1 93.6 93.627,879 973 836KRESS HILL DAIRY H 3.5 3.0164 3-7 26966/3 97.6 97.626,899 1,002 800LARRY J SHAMBEAU H 3X3.7 3.0189 3-3 26916/17 93.5 93.527,265 965 836JOHN DOBBERPUHL H 3.5 3.177 3-4 26846/23 97.0 97.026,134 982 810DEAN BRANDT H 3.8 3.191 3-7 26766/6 97.7 97.726,544 968 824BRUNMEIER DAIRY FARM H 3X3.7 3.1412 3-4 26736/2 93.6 93.624,718 983 801BELLA-DEW RECIPIENTS LLC H 4.0 3.233 2-9 26676/22 97.7 97.726,720 996 788GEHRING VIEW FARMS H 3X3.7 3.0312 3-10 26656/15 104.0 99.727,632 975 810RIVERSIDE DAIRY H 3X3.5 2.9381 3-4 26626/17 94.4 94.525,233 985 796WILLIAM SCHULTZ H 3.9 3.286 3-11 26626/9 97.6 97.625,944 993 788DOUBLE NICKEL DAIRY LLC H 3.8 3.073 3-2 26626/18 97.6 97.726,095 954 828DIEDERICH FARM H 3X3.7 3.2268 3-2 26576/6 102.8 95.925,767 958 822HIGHLAND CROSSING LLC H 3X3.7 3.21063 3-4 26566/13 93.6 93.725,662 961 816LARRY WILTERDINK H 3.8 3.284 3-2 26526/15 97.6 97.727,271 954 822HABECK HOMESTEAD FARMS H 3X3.5 3.0504 3-4 26476/14 93.7 93.726,304 963 808HACKMANNS NORSTAD FM LLC H 3.7 3.1128 3-4 26426/4 97.6 97.625,291 968 796WARREN ALLEN H 3.8 3.2111 3-4 26356/22 101.8 101.926,860 961 804D & R FISHERS DAIRY LLC H 3X3.6 3.0118 2-11 26326/1 93.5 93.625,930 962 797MERKLINE HOLSTEINS H 3.7 3.1174 3-8 26266/30 97.7 97.726,421 956 802MARK DENOR H 3.6 3.0196 3-0 26226/7 97.6 97.625,623 967 781DENNIS H VOGT H 3.8 3.183 3-3 26116/15 97.7 97.727,349 931 814JAMES T LEPICH H 3.4 3.0840 3-2 25986/1 97.6 97.625,946 964 775LEVEL ACRES DAIRY INC H 3.7 3.0211 3-8 25976/4 97.6 97.627,100 919 823ROB JUNEAU H 3.4 3.052 3-4 25936/25 97.7 97.725,170 961 770JASON BAROUN H 3.8 3.1111 3-7 25866/1 97.6 97.724,771 951 778THOMAS MUELLER H 3.8 3.189 3-0 25836/3 98.2 98.325,304 933 787RUSSELL & TERESA BRAUN H 3X3.7 3.1168 3-4 25666/2 93.6 93.624,653 945 772DALE LIMBERG H 3.8 3.165 3-3 25656/9 97.6 97.625,624 940 766LAABS HILLCREST DAIRY LLC H 3.7 3.077 3-4 25476/13 97.7 97.726,424 909 797GLENN & DEBBY OTTO H 3X3.4 3.0193 3-3 25416/8 94.5 94.625,010 934 766HOCHKAMMER HOLSTEINS H 3.7 3.1151 3-5 25386/23 97.6 97.624,723 938 759SPRANGERS BROS. H 3.8 3.1235 3-2 25356/2 95.9 96.025,889 900 802SALZSIEDER FARMS H 3.5 3.170 3-6 25356/29 96.0 96.027,316 900 800LE-MANN DAIRY H 3.3 2.978 3-11 25296/6 97.6 97.724,719 921 764LIBERTY VAL DAIRY H 3.7 3.1281 3-0 25156/8 97.6 97.623,974 960 737GARY PRINCL H 4.0 3.178 3-5 25146/1 98.2 98.325,609 899 769DAN & KARI DVORACHEK H 3.5 3.096 3-7 24866/23 95.6 95.625,175 907 757GARY HYNEK H 3.6 3.0233 3-3 24826/6 97.4 97.424,373 909 754MARK AND CAROL GARTMAN H 3.7 3.1114 3-8 24826/1 97.6 97.724,872 900 756DICK & JACOB HALVERSON H 3.6 3.0104 3-3 24706/16 97.6 97.723,220 920 730PROSPECT DAIRY H 4.0 3.155 3-3 24676/26 97.6 97.724,944 914 738MICHAEL PAULUS H 3X3.7 3.01086 3-3 24666/24 93.6 93.625,985 881 775GENE AND SUSAN BEIMBORN H 3.4 3.057 3-4 24666/7 96.0 96.125,214 883 758KYLE & BRYAN MAUK H 3.5 3.059 3-3 24466/7 97.7 97.724,813 878 759BLAZING PONDEROSA H 3.5 3.137 3-0 24406/22 97.7 97.724,698 901 733KEITH & MICCA SCHUELLER H 3.7 3.0182 3-6 24396/21 97.6 97.725,774 871 760IRISH ACRES LLP H 3X3.4 3.0397 3-6 24286/30 93.6 93.725,222 887 735GLENN & KATHY RENTMEESTER H 3.5 2.959 3-9 24196/28 97.7 97.724,517 897 723CEDAR LAWN FARM LLC H 3X3.7 3.0177 3-10 24186/9 92.2 92.223,699 882 737JACK & WENDY SCHNELLE H 3.7 3.1203 3-6 24166/28 96.9 97.024,217 883 734PAUL & KAREN MCCABE H 3.7 3.0120 2-11 24136/17 97.6 97.624,565 878 738HIDE A-WAY ACRES H 3.6 3.0232 3-3 24106/10 102.1 100.124,191 850 766BRI-BON DAIRY H 3.5 3.246 4-1 24076/28 97.6 97.724,437 867 742MAPLE GROVE FARM H 3.6 3.0154 3-3 23996/27 97.6 97.723,954 890 716JOE WOLF H 3X3.7 3.0417 3-3 23986/22 93.6 93.624,314 871 735PEICHL FARMS H 3.6 3.0125 3-7 23956/1 97.6 97.623,362 897 705ELMLO DAIRY FARM H 3.8 3.089 3-4 23956/21 97.7 97.723,829 885 714RANDALL A GEIGER H 3.7 3.059 4-3 23886/18 97.6 97.723,593 875 724PAUL TURBA H 3.7 3.167 3-8 23876/6 96.6 96.624,081 875 722KEVIN MAUK H 3.6 3.047 2-11 23836/2 97.6 97.623,126 912 698DOUBLE DUTCH DAIRY H 3.9 3.0214 3-9 23816/14 97.6 97.722,926 879 714HERRMANN DAIRY FARMS H 3.8 3.1189 3-2 23806/7 97.7 97.724,183 890 700GARY-LEE FARMS H 3.7 2.9259 3-8 23756/14 97.6 97.6
NEWSLETTER FOR EASTERN WISCONSIN DHICRD201001-06701
ROLLING HERD AVERAGES
Milk 3XName Fat ProB %%Cows Age CY
6 / 2016Month of
Test Date M M&C
DCR *
SUPERVISED HOLSTEIN TOP 350 HERDS
25,666 824 774HOMESTEAD RANGE H 3.2 3.072 4-3 23746/22 97.7 97.722,518 874 714HENSCHEL HOLSTEIN H 3.9 3.2196 3-7 23736/29 97.7 97.724,029 851 735JOHN & CARYN SAGER H 3.5 3.166 3-6 23646/3 97.6 97.723,175 939 692MARK AND JUDY RAHMLOW H 4.1 3.0198 3-2 23606/25 97.6 97.724,501 827 757JOHN A ULLMER H 3.4 3.1315 2-11 23576/3 94.8 94.922,010 917 690ROGER&SHERRY PAYNE H 4.2 3.174 4-1 23556/6 97.6 97.723,739 853 723BREUNIGS K-J-R-T FARMS H 3X3.6 3.1261 3-4 23506/28 97.5 97.622,626 861 707ELM PARK FARMS LLC H 3.8 3.111 3-2 23426/18 98.2 98.323,515 872 695LARDINOIS FARMS LLC H 3X3.7 3.0602 3-5 23406/21 00.0 00.023,773 887 686MISSION BELL FARM H 3.7 2.973 3-9 23386/25 97.6 97.722,790 847 718GLENN & LINDA UBBELOHDE H 3.7 3.272 3-8 23356/9 102.0 102.123,224 832 733BAETEN DAIRY LLC H 3.6 3.2109 3-4 23326/30 97.7 97.722,610 877 683ALMETA FARMS LLC H 3.9 3.0240 3-3 23296/22 97.7 97.824,276 857 699TRIANGLE ACRES H 3X3.5 2.9279 3-4 23216/8 89.1 89.222,915 896 680DAVID GARTMAN H 3.9 3.0106 3-6 23196/1 97.6 97.624,515 825 730GARY BICHLER H 3X3.4 3.0129 3-6 23156/3 91.2 91.223,197 840 712RICHISON DAIRY LLC H 3.6 3.1100 3-1 23156/27 97.7 97.723,112 852 695KLUGSTEAD CORP H 3.7 3.030 4-9 23096/3 97.6 97.723,559 831 716DEAN SCHOESSOW H 3.5 3.094 3-8 23066/8 97.6 97.723,073 850 694NAN-WAY HOLSTEINS H 3.7 3.0150 3-5 23056/4 97.6 97.622,614 838 700CONDALE ACRES H 3.7 3.185 3-3 22956/27 95.9 95.923,060 845 691DAVID LETTOW H 3.7 3.093 3-3 22936/14 97.0 97.023,453 823 715TODD & KARA ABRAHAM H 3.5 3.157 3-8 22926/8 97.6 97.623,067 837 689JOHN BORN H 3.6 3.052 4-3 22776/6 97.7 97.722,640 827 699TOWER VIEW DAIRY H 3.7 3.1104 3-10 22766/8 97.6 97.621,876 831 692GOLDEN RAIL DAIRY LLC H 3.8 3.2140 3-2 22746/2 97.6 97.722,777 878 667CURTISS BECKER H 3.9 2.986 3-3 22746/11 102.3 102.422,459 822 700COUNTY-LINE FARMS H 3.7 3.1242 3-5 22706/24 97.7 97.722,551 830 690JOHN VAN DEURZEN H 3.7 3.142 2-9 22686/1 97.6 97.722,996 803 719STAHLS DAIRY FARM H 3X3.5 3.1431 3-0 22676/28 82.1 82.121,468 849 666JOHN & MARILYN ROBLEY H 4.0 3.187 3-3 22666/16 97.7 97.822,675 830 681MARION DERUYTER H 3.7 3.031 3-6 22556/14 97.0 97.022,579 826 671SCHLADWEILER FM OPER LLC H 3.7 3.0125 3-5 22356/1 97.6 97.621,967 825 669JAMES &JOSEPHINE WAVRUNE H 3.8 3.1131 3-3 22316/17 96.0 96.022,310 797 695KRESCENT VALLEY DAIRY H 3.6 3.1148 3-7 22246/14 97.6 97.621,110 832 651MIKE MEISSER H 3.9 3.1146 3-6 22186/23 00.0 00.021,524 806 677ROBERT GRUNEWALD H 3.7 3.224 3-2 22136/6 97.5 97.522,234 801 665CHRIS/TRACY WIDDER H 3.6 3.060 3-5 21876/3 97.5 97.620,138 811 641TED OTTO H 4.0 3.286 3-11 21726/21 95.9 96.022,804 778 672TERRY AND BARB GROH H 3.4 3.051 3-10 21606/1 97.6 97.621,239 794 642MARK DEMASTER H 3.7 3.023 3-2 21446/2 97.6 97.620,913 809 628STENDER FARMS H 3.9 3.089 4-1 21426/21 97.7 97.822,102 768 663BORLEN FAMILY FARM LLC H 3.5 3.046 4-2 21326/10 102.1 102.121,235 771 652DREAMIN BLU HOLSTEINS H 3.6 3.158 3-7 21236/4 97.7 97.721,019 778 636LEDGE VIEW DAIRY H 3.7 3.0137 3-5 21116/6 97.7 97.722,404 753 665ABTS FARMS LLC H 3.4 3.0117 3-3 21116/15 95.9 95.919,997 833 618ROGER L BROEGE H 4.2 3.128 4-2 21096/11 96.6 96.720,884 738 662WILLOW CREEK FARMS H 3.5 3.2191 2-11 20856/13 96.5 96.520,770 761 625STAN MEINNERT H 3.7 3.0118 3-0 20696/4 97.6 97.620,341 756 603MELIUS FARMS INC H 3.7 3.090 3-9 20306/9 102.0 102.119,769 743 602MICHAEL LETTOW H 3.8 3.034 3-6 20096/6 97.7 97.719,557 739 588DONALD AND CLARA BUCKMAN H 3.8 3.054 4-7 19836/24 97.7 97.720,007 701 625PLEASANT VIEW BEEF&DAIRY H 3.5 3.1113 3-10 19756/29 97.6 97.717,226 734 550PERRONNE HOLSTEINS H 3X4.3 3.260 4-0 18786/10 90.4 90.417,002 638 529ADAM BECK H 3.8 3.162 4-0 17426/2 95.8 95.815,824 622 485ADAM WAVRUNEK H 3.9 3.172 3-4 16556/27 96.0 96.114,168 581 466DON SCHNEIDER H 4.1 3.350 3-7 15666/29 97.7 97.714,750 571 454R-SQUARE FARMS LLC H 3.9 3.191 4-6 15326/8 97.6 97.714,414 540 432GEHRING FARMS H 3.7 3.0137 3-11 14526/13 97.6 97.7
SUPERVISED COLORED TOP 25 HERDS
22,507 1,132 853D&D J 5.0 3.882 3-1 29196/30 97.7 97.826,626 1,032 850BLADO DAIRY FARM X 3X3.9 3.236 3-5 28116/9 103.5 101.524,243 1,025 848MEADOWBROOK BROWN SWISS B 3X4.2 3.517 3-1 28026/29 97.7 95.425,585 1,115 814MAYER BROWN SWISS B 3X4.4 3.220 4-0 27796/20 93.6 93.6
NEWSLETTER FOR EASTERN WISCONSIN DHICRD201001-06701
11907 1,852 DAYS MILKED 3XALTABAXTESIEMERS HOLSTEIN FARM INC 11970 H 2,104 6 1,829 232,201 4.0 9,290 2.7 6,318
11970 1,829 DAYS MILKED 3XMANGOROCKLAND DAIRY LLC 6014 H 2,672 6 2,411 227,958 2.7 6,082 2.8 6,387
6014 2,411 DAYS MILKED 3XUNKNOWNDRAKE DAIRY INC 3462 H 2,915 9 2,520 226,891 3.3 7,485 3.1 7,090
3462 2,520 DAYS MILKED 3XPAGEWIRESIEMERS HOLSTEIN FARM INC 12935 H 1,940 6 1,645 225,162 4.3 9,574 3.1 7,080
12935 1,645 DAYS MILKED 3XGOLDWYNSIEMERS HOLSTEIN FARM INC 12180 H 2,100 4 1,906 224,817 4.2 9,464 3.2 7,159
12180 1,906 DAYS MILKED 3XMOSCOWROBERT AND PEGGY WEBB 4426 H 2,574 7 2,205 223,842 3.9 8,754 2.8 6,358
4426 2,205 DAYS MILKED 3XGRAYSONROCKLAND DAIRY LLC 6518 H 2,243 5 2,029 223,696 4.0 8,877 3.1 6,883
6518 2,029 DAYS MILKED 3XSOLOA-OK FARMS LLC 3272 H 2,469 6 2,233 223,515 3.6 8,154 2.9 6,549
3272 2,233 DAYS MILKED 3XCOLDSPRINNEW HORIZONS DAIRY 4042 H 2,181 5 2,002 222,454 3.0 6,734 2.9 6,558
4042 2,002 DAYS MILKED 3XREECEROCKLAND DAIRY LLC 5109 H 2,120 5 1,919 222,028 2.7 6,026 2.6 5,787
5109 1,919 DAYS MILKED 3XMIAMI-REDHANKE FARMS INC 3845 H 2,348 6 2,050 220,516 3.9 8,553 2.7 5,973
3845 2,050 DAYS MILKED 3XNIFTYSIEMERS HOLSTEIN FARM INC 11906 H 2,065 5 1,861 219,150 4.4 9,662 3.2 7,027
11906 1,861 DAYS MILKED 3XBLITZLARDINOIS FARMS LLC 3336 H 3,484 8 2,965 215,814 3.8 8,095 2.8 6,144
3336 2,965 DAYS MILKED 3XONWARDSIEMERS HOLSTEIN FARM INC 13164 H 1,862 5 1,636 215,248 3.9 8,323 2.8 6,019
13164 1,636 DAYS MILKED 3XATWINDSUNRISE ACRES 794 H 2,337 6 2,135 215,072 3.1 6,561 3.0 6,447
794 2,135 DAYS MILKED 3XLIMESTONEHI-TOWER-FARMS 725 H 2,264 5 2,015 214,680 3.2 6,947 2.9 6,230
725 1,925 DAYS MILKED 3XALTAARMSTSIEMERS HOLSTEIN FARM INC 12135 H 2,004 5 1,755 214,114 4.3 9,124 2.9 6,145
12135 1,755 DAYS MILKED 3XIMPALAROCKLAND DAIRY LLC 6367 H 2,240 6 2,009 214,068 3.4 7,214 2.9 6,193
6367 2,009 DAYS MILKED 3X
EWDHIC Locations Waldo Lab/Office Phone: 920-528-8942 718 W 1st Street or 800-439-1317 Waldo, WI 53093 Fax: 920-528-7469
Brown Office 3243 Kewaunee Rd Ste 101 Phone: 920-863-2741 Green Bay, WI 54311 Fax: 920-863-2742
Manitowoc Office 418 S 29th St Phone: 920-682-5972 Manitowoc, WI 54220 Fax: 920-682-9798 West Bend Office Phone: 262-338-0673
Field Technicians Joe Casper 920-948-1572 Dan Henning 920-946-5350 Ken Kleinhans 920-893-5602 Tony Knetzger 262-305-4126 Tim Leitzke 920-621-6710 Fred Matzke 920-360-6737 Augie Muesegades 920-980-6908 Chuck Reineking 920-254-0301 Allan Sabel 920-889-3663 Tiffany Schowalter 262-305-3470 Howard Stein 920-609-1100 David Wagner 920-242-6996
Laboratory Technicians Sheri Giese, Lab/Data Entry Technician Jamie Meyer, Lab/Data Entry Technician Kim Schmidt, Lab Support Dona Winter, Lab Manager
Board of Directors Dan Diederich - De Pere 920-371-8414 Matt Gartman - Sheboygan 920-207-6659 Randy Geiger - Reedsville 920-772-4184 Jack Hanke - Plymouth 920-838-1415 Tom Hochkammer - Manitowoc 920-374-0109 Peter Muth - West Bend 262-689-2536 Aaron Salzsieder - Luxemburg 920-495-0181 Guy Vogel - Cato 920-973-3151 Dale Wagner - Manitowoc 920-758-2904
Managers Glenn Schmahl 920-528-8942 Jean Tegen 920-973-5553
Dairy & Livestock Agents/Board Advisors Scott Gunderson - Manitowoc County Phone: 920-683-4168 [email protected] Liz Binversie - Brown County Phone: 920-391-4612 [email protected].
The UW‐Extension Office now has a Quick Response Code to help you get into the UWEX Web site faster and easier. Use your phone, iPad or tablet camera to scan the Quick Response Code to find UWEX on the web! Barcode Reader or Google Goggle apps may be needed.