CfDE Newsletter Nov 2014 - Centre For Dairy Excellence
Transcription
CfDE Newsletter Nov 2014 - Centre For Dairy Excellence
November 2014 | Issue 5 NEWSLETTER Dairy Consultancy Services In this issue: Designing effective fodder beet systems On farm reporting options available through the CfDE www.dairyexcellence.co.nz November 2014 | Issue 5 Contents That's a nice app! Version 2.0 ............2 How now brown (or black and white) cow ...................3 Designing effective fodder beet systems......................................4 On farm reporting options available through the CfDE................5 That's a nice app! Version 2.0 I wrote a similar article a while back in the Vetlife newsletters so thought I would add some more that I have come across in my day-to-day work! The world of technology does move faster and faster. There are of course more and more apps becoming increasingly available with the use of smart phones and the increased use of social media on farm. To cheers and boos alike, I must admit I did join on to Twitter the other week and must in all honesty say it is quite a handy medium for communication of a rural nature. #agchatnz is really quite good and once you get a few followers, you can quickly get questions answered and have fairly robust debates in short spaces of time and of course in short sentences; @trambopoline is my handle if you're that way inclined! The below is a taste of some more apps I have come across as well as a rerun of the ones which I think are particularly useful. Dairy cow BCS tool This is a very useful app which allows you to record both paddock walk and whole herd body condition scores over a season. Once finished, the app shows the number of cows scored and a percentage breakdown of cows within the various BCS ranges. Pretty useful and stores information over a season so you can follow the changes as you go; you can also export the data as a csv file via email as well if you want to store the data on a computer. It can be a little hard to find but if you look for Dairy cow BCS tool in Google Play, you can't go wrong. FMG rural weather Recently FMG sponsored Metservice for an online rural weather app. This is really quite good and provides 10 day forecasts, hour-by-hour updates, storm warnings and links to the latest video updates and maps of weather vanes and rain radar imagery for all New Zealand rural locations. It is available via Apple and Google app stores through searching FMG rural weather. Grass2Milk Onefarm (a joint collaboration between Lincoln and Massey Universities) is a feeding app which allows you to enter individual cow herd data (max two herds) and calculate feed demand based on different crops, supplements available and paddock sizes etc. It can get as complicated as you want to make it! It is useful for understanding feed demand for cows at different stages of the production season. It is currently only available to Android users, you can download the app by going to http://onefarm.ac.nz/resources/toolbox/grass 2milk/ on your phone and go from there! 2 Protrack drafter mobile I am a bit slow to the game as this app has been around for a while. For those of you with Protrack, you can download this app and create drafts for cows if you Wood a see any out in the paddock or Matt specify particular drafting schedule i.e. at specific milkings and dates in the future etc. Would be pretty handy for those who have Vector or Drafter 2G Protrack installed on farm. Minda Lookup, Calving, Mating, Pasture LIC are in the process of releasing easy to use and handy apps; so far they have released four to date, the latest being Minda Mating (and no it is not like Tinder). They are all easy to use apps and quite handy on farm and will automatically upload back into Minda when you are in mobile or Wifi coverage areas. Search for Minda App on iTunes or Google Play and download which ones you wish. Fonterra Farmsource Again this has been around for a while but is handy to follow milk pickups across the season as well as text grade and warning alerts from Fonterra; probably particularly useful when you are away off farm and want to see how things are tracking on farm etc. Search for Fencepost in Google Play or Apple app book. Distance and area measurement This is an extremely useful app which uses your satellite function on your Android phone (sorry, not available on Apple as yet). The app measures distance and will calculate areas once you have walked around the boundaries of set area, a very handy tool to have for when calculating break size etc. and area allocation for the herd. Search for Distance and area measurement on Google Play. These are just a small taste of the burgeoning app availability and I trust you will find some of them useful for your day-to-day work. Of course, as with all things, some apps do have terms and conditions which do seem a little strange such as allowing the app to read your phones history etc. so the tinfoil hat brigade may be on to something after all! As with all things, be careful with what you download and make special attention upon accepting or otherwise the terms and conditions, we must make personal decisions on a case-by-case basis. Craig Trotter Centre for Dairy Excellence, Geraldine November 2014 | Issue 5 How now brown (or black and white) cow Coming from a science background, I do often find myself trying to keep up-to-date with moves from the industry-good scientists and research work that is being performed on behalf of the dairy industry. The endeavor of many scientists is to publish and distribute their research articles into referred science journals. As a scientist once, there are some key papers that I found fundamentally interesting which stick within my own mind when debating the merits of animal production. For a change of topic, I thought for this article and others in the future, I will try and summarise some of these key papers that I enjoy reading every now and again. This paper was written by Eric Kolver and colleagues, published in the New Zealand Society of Animal Production 2000; issue 60, pages 265-269. An older paper but still a goody. This paper was produced in response to the increasing introduction of North American Holstein Friesian genetics into the New Zealand dairy herd and aimed to test the performance of small numbers of either overseas (OS) genetics or New Zealand (NZ) bred dairy cows being offered one of two diets: either a total mixed ration (TMR) fed at an adlib rate or a grassbased system (Grass) fed at lax rates (i.e. relatively high post-grazing residuals of at least 1800 kg DM) and then followed by other cows to ensure pasture quality for the next round. The animals (heifers) were offered these two treatments for a full lactation season and measurements of milk production, live weight, BCS etc. were recorded consistently through the season to produce the table above; this is a summary of the main table of what I think is the key data. The two columns on the right represent how statistically significant the treatments were between genotype (NZ versus OS) or diet effects (Grass or TMR) within a genotype; the lower the number means more significance (anything above 0.05 is considered not significant and anything less than 0.001 is very significant i.e. there is less than a 1 in 1000 chance that the result could be random and a 999 in 1000 chance that it is the result of the treatment!) OS cows produced more milk volume than NZ cows but when it is considered as milk solids, Genotype NZ Diet OS P value Grass TMR Grass TMR Genotype Diet Days in milk 261 268 242 261 0.047 0.055 Milk yield (kg/cow) 3317 5036 3597 5898 0.004 <0.001 Milk solids (kg MS/cow) 281 380 271 401 0.651 <0.001 Post-calving live weight (kg/cow) 379 378 441 436 <0.001 0.834 Season end live weight (kg/cow) 434 501 464 575 <0.001 <0.001 Season end BCS 4.6 6.2 3.9 5.5 0.002 <0.001 3254 4661 3126 4799 na na 3.12 4 2.74 3.83 0.081 <0.001 DM intake (kg/cow) 0.75 Production efficiency (kg MS/LW ) there is no great difference. This is because OS cows tend to produce less milk fat than NZ cows hence not really much difference between genotypes in terms of milk solids production. Though OS cows on grass produced more milk than NZ cows on grass, there was little difference on a MS basis though they did produce a higher protein content than NZ grass cows; this increased milk and protein production came at the considerable expense of cow live weight where OS cows put on 22 kg or 5% of their post-calving live weight at the end of lactation versus 55 kg (14%) for the NZ grass animals. This is what we often see on farm too, that the bigger Friesian animals in grass-based herds often do struggle to put BCS back on post-calving. Yes, of course they milk well but they also tend to be lighter through the rest of the lactation than their NZ crossbred counterparts. This can sometimes mean having to dry them off earlier or feed them preferentially in order to get them to put BCS back on through either late lactation or the dry period. Probably one of the most telling data points in the table is the efficiency line; this is a measure of the cows MS production as a function of her metabolic live weight. The OS cows having figures of 2.74 and 3.83 for Grass and TMR respectively versus NZ cows 3.12 and 4 for Grass and TMR based rations. This is a measure of how metabolically efficient the different breed lines are, i.e. the OS cows produced more milk but it came at the cost of higher live weight and therefore a higher feeding cost due to her increased maintenance requirement. From this study the authors concluded that even though both OS and NZ cows produced similar levels of MS production, the inability of OS cows to maintain adequate BCS under the grass-based system through the lactation questions their suitability for these production systems. Conversely, I suppose the performance of NZ cows in the TMR system showed that they produced less milk, ate less feed but had a higher efficiency score throughout. As is well known but also widely debated, it is horses for courses in that the OS Friesian lines of cows are probably more suited to systems of a higher feed input management. At the same time there is interesting evidence that the NZ heifers going to China are competing well in comparison to OS herds, again it appears much the same in that they are producing less milk but are more metabolically efficient than their larger OS counterparts. On that note, for those of you who might be interested, the New Zealand Society of Animal Production have recently opened up their journals for free online access; there is a wealth of papers here dating back to the 1940s! Page 59 of issue 66 is a particularly good read! They have quite a good search function as well for any burning topics you might have. Go to www.nzsap.org and see what you think. If you would like a copy of these papers above, feel free to get in touch anytime. Craig Trotter Centre for Dairy Excellence, Geraldine 3 November 2014 | Issue 5 Designing effective fodder beet systems supplement. This can be effective, but it is another job in a busy autumn period, and in our experience, will sometimes not get done due to poor weather or the urgency of other tasks in that period. Whatever approach is used, the headland should be a ranked priority in setting the FB crop up. Introduction The use of fodder beet (FB) as a forage crop for winter and shoulder feeding, both as a grazed crop and as harvested bulb, has been a Kiwi innovation now being shared with the rest of the world. The estimated hectarage under cultivation this current season suggests it may be one of the fastest growing forage crops in New Zealand history, which speaks for the value dairy farming in particular has put on the crop. With increasing industry familiarity with the crop, there is a growing confidence to expand into more sophisticated applications and more tightly refine the systems of use in the dairy industry to meet best practice standards of production, cow health and least cost with maximum return. At this time of year, the design of the FB cropping on farms is the principal concern in FB systems. Inexperienced advisors on FB can make both autumn feeding and especially wintering systems more complicated and difficult than they need to be. This article outlines the major points to be considered in designing a FB system for use in wintering and lactation feeding on farm. Wintering Effective wintering on FB wins or loses with the transition to the crop. One important design feature that aids good transition is sufficient space to begin feeding without crowding cows and pressuring the lines. Headlands are not a feature of brassica crops as the lower yields and lower energy mean they can be eaten rapidly over the first few days, creating space quickly. This is not possible with FB, and a minimum of about six metres headland is required when each cow has one linear metre of face allocated. With this headland, it is possible to leave the herd on the crop from day one, though in most cases cows will be walked on and off for the first few days. Without a headland, cows invariably get allocated, or breakout to, more FB than they should as the crowding pops either the line or the farmer's resolve to go slowly. Headlands can be produced several ways. Our preference is to simply plant out an annual or forage cereal as the headland. This has the advantage of not requiring any further thought or activity before use, and gives the cows something underfoot to chew on and stay above the ground for the first few days. However, some farmers prefer to plant the whole paddock in FB and lift the headland in autumn, feeding the lifted FB as an autumn 4 Transition is also made easier by designing the crop to be fed across the rows, allowing a number of rows to be allocated instead of metres. In most cases, this makes delegation to staff more straightforward, reducing errors. It also encourages the paddocks to be used along the maximum face length, and in almost every case, more space is positive for utilisation and drawing shy feeders onto the crop. One metre per cow is the minimum requirement. Below this cows are bullied off the face, the crop gets trampled, and BCS results are poorer. After transition, the supply of supplement is the next most important issue. It is the biggest cost after the crop, and proper supplement use drives maximum FB intake and minimises costs. Paddock design enormously influences ease of feeding out supplements, utilisation of supplements, and paddock damage. Historically, in the northern South Island hay and straw was fed out daily with tractors carting bales into the paddock. However, wherever possible it is an advantage to feed supplements under a wire at the paddock boundary away from the FB face, and without entering the paddock. The time and staff effort saved by this simple rearrangement cannot be overstated. In one example in our consultancy, two farms feeding several thousand head each were on opposite sides of a road. One farm used a single labour unit for six hours a day, the other used six staff for four hours a day, and this went on for the entire winter. In most cases, feeding supplements under a wire will also lift utilisation and so reduce supplement used. It also means that supplement use is more closely observed, particularly at transition, which is always helpful. Paddock size is another important design concern. Mob sizes on FB have been increasing year on year, and it is routine now to have mobs of 400 to 500, and this year our largest mob was 950. There has been a lot of chatter from armchair experts in various rural professional groups, many of whom have hardly seen a FB crop, about FB needing small mobs. Small mobs simply mean more work, more decisions each day to get wrong. Aim for mobs of 400 cows, but recognise that means a 400 m face sometimes the lack of paddock size will be the limiting factor in mob size. But do not let it be the other way around! Finally, a few minor concerns. Water troughs should never influence paddock design. Today, any mob size or number of mobs can be well serviced for water with inexpensive portable troughs and pipe. Where possible, graze downhill rather than uphill, as runoff can work against a drier, firm environment, but graze away from the prevailing weather direction as a priority direction. Cows will graze well in poor weather if it is behind them, but will not graze into a howling southerly drilling rain into their faces - they just stop and wait for the weather to pass, complicating transition and BCS gain. Platform feeding of FB in lactation The crop can be grazed or fed harvested to about 5 kg DM daily in lactation without any additional feeding inputs. It is always cheaper to graze, and the leaf DM and nutrient is kept with grazing. Planting a small area out can replace silage use in spring and autumn, and even transition cows at home before transport to the winter run-off or contract grazing. As FB yields are driven by high potassium and sodium, it is possible to load paddocks with lots of effluent across the season prior to planting, then mine this by short grazing times on crop and usual farm rounds of pasture. However, using this in lactation will mean that each day the cows will be in one paddock for a few hours - through one gateway - to do this. On some farms, that dramatically increases the walking distances each day, and this will not help lameness. It does, however, give a sacrifice paddock for standing off in poor autumn weather. The alternatives are harvesting daily with a modified FB bucket, which works well and the whole plant can be fed out with a silage wagon on pasture, or commercial harvest and storage in windrows as bulb. In these cases, the FB is taken to the cows, avoiding the logistical problems of walking to the crop, while still mining the paddocks and redistributing nutrient across the farm. These paddocks can be effluent loaded before use, and can be used as part of normal pasture renewal programmes. If commercial harvesting is used, the crop can be followed in autumn by an annual grass for spring grazing, but beware of wet weather closing in faster than anticipated - this year a number of crops stayed in the ground until it dried out in August. Summary Intelligent FB use requires planning, and can save money, time and hassle in winter and lactation. Key concerns in designing FB wintering systems are transition headlands, face lengths, drill row directions and supplement feeding faces. Lactation feeding of FB on platform requires decisions around grazing or lifting the FB, but can be effectively integrated into pasture renewal planning and effluent management strategies. For anyone wanting more detailed information on designing FB feeding systems, you can contact the Centre for Dairy Excellence or go to www.fodderbeetclub.co.nz Jim Gibbs Lincoln University [email protected] Craig Trotter and Bernardita Saldias Centre for Dairy Excellence [email protected] November 2014 | Issue 5 On farm reporting options available through the CfDE Monthly benchmarking The Centre for Dairy Excellence (CfDE), in conjunction with Vetlife, offers a monthly benchmarking report which can be made available to all dairy clients. The report runs from June 1st until May 31st each year and calculates your monthly and year-to-date spend - as a whole and on a per cow basis. The report runs on a selected group of animal health categories (see Figure 1). The report allows you to benchmark your costings on a monthly basis and allows you to follow your spend at Vetlife through the production season. If you are interested in seeing this report, please contact your Vetlife rep' or myself at the CfDE office and we can get you set up to receive the report going forward. Dairy Systems Monitoring (DSM) DSM is a farm monitoring and modelling service used to benchmark your on farm performance with similar farms. It can be used to rationalise any future on farm changes on production and to carry out scenario testing i.e. what if analysis... What impact will once a day milking for the cows with a BCS of 3.5 have on farm milk solid production? What will the use of 3 kg DM/cow/day of maize silage have on milk solid production response and body condition score gain through April and May? What impact will purchasing another 90 cows have on total farm performance and production, what negative effects might it have for the next season? What influence will bringing the calving date forward by 10 days have on cow BCS and supplementation feed requirements through the spring; will it be cost-effective? The monitoring service is provided through an initial consultation with you to describe your goals and targets for the season and to enter your farm data into the model; then each month, a one page sheet is filled out and returned to the CfDE to compare actual performance versus that targeted. Access can be provided to the CfDE for Fonterra Fencepost data and Minda programmes to monitor monthly cow milk production and calving progress etc. Each month you receive a report of the performance of your farm with those targets and whether they are met or not, as well as a benchmark report of how your on farm performance compares to other farms in your area. providing a report back to farm owners, investors/shareholders and management boards etc. The Chatham House Rule applies to all members, in that information and benchmarks are freely provided but fully confidential to DSM members only. Moreover, you will know how your farm compares but you will not know the identity of the other benchmark farms in the system. Figure 2 below provides a snapshot of the data which can be reported via the monthly benchmarking reports. There are also tables of data such as the costs of supplement inputs across the months, round length and pasture harvested figures etc. On top of the monthly reports there are seasonal summaries, regular catch ups and an annual discussion meeting of all members to discuss how the season went. The service utilises FarmMax Dairy Pro to model future production and performance based on regional and local data as well as being constantly updated as new real on farm data is loaded into the system each month. If you are keen to know more about where DSM may fit into your farming operation, please feel free to give the office a ring anytime (03) 693 1045, or ring Craig on his cellphone (027) 705 0234 or email [email protected] DSM allows you to monitor performance (across one or multiple farms) and examine where issues may be developing in farm production as well as Katherine Ley CfDE Administrator, Geraldine Production Year: 2014-2015 Month: Sep Grp Description 02 12 14 19 20 21 22 24 25 26 48 49 54 59 72 73 74 80 81 85 Worm/Lice Vaccine Cattle Cow Products Antibiotics Fertility Drugs Anti Inflamation Drug Room/Ethicas rest Milking Cow IM Dry Cow IM Metabolics Hardware Nutrition Trace Elements/Minerals Products for LAB Tests Calf Rearing lameness Induction Drugs Lab Fees Professional Fees - Large Anim Travel Charge Income Total Value & Avg Per Cow Month Sep Spend Month average per cow YTD (from 1 June) Spend YTD average per cow 0 0 70 1,827 8 368 1 969 0 18 0 0 653 0 98 0 0 560 1,519 245 6,337 0 0 0.09 2.28 0.01 0.46 0.00 1.21 0 0.02 0 0 0.82 0 0.12 0 0.00 0.70 1.90 0.31 7.92 0 0 70 2,421 54 844 88 2,214 0 62 0 0 1,494 0 249 0 893 560 1,924 430 11,303 0 0 0.09 3.03 0.07 1.06 0.11 2.77 0 0.08 0 0 1.87 0 0.31 0 1.12 0.70 2.41 0.54 14.13 Figure 1 - An example of the Vetlife benchmarking report showing actual September and dairy season to date (June 1st) spending figures as a whole and as a per cow basis. Figure 2 - An example of the front page of the DSM report showing actual values as the season progresses versus agreed target figures at the beginning of the season. Milking cow days Milking days Cow numbers 441,764 304 Pasture Growth Harvested (tDM/ha) 10.7 10.6 Pasture Cover 1.8 80 2500 60 2300 1 40 0.8 2100 20 0.4 1900 0 -10 Crop Maize silage Palm Kernel Concetrates May Apr Jan Feb Dec Mar May Mar Original Target Apr Oct Nov Jul Sep Feb Jan Dec Nov Oct Feed 6 Grass silage Aug Jun Apr Mar Jan Feb Dec May YTD+ Target Original Target Sep Oct Sep Nov Aug Jun May Apr Mar 0 Feb 0 Jan 5 Dec 10 40 Nov 15 80 Oct 120 Sep 20 Aug 25 160 Jul Diet 200 Original Target Jul YTD+ Target Original Target Milker ME Intake YTD+ Target Aug Jun Apr May Mar Jan Feb 1700 Jul YTD+ Target Dec Oct Nov Sep Jul Aug Jun 0 Jun .1000 1.4 Hay/Straw Pasture consumed 5