Building a Twelve-Month Fodder Calendar for Your Own Farm
LIVESTOCK & INTEGRATED FARMING

Building a Twelve-Month Fodder Calendar for Your Own Farm

Every keeper knows which months are hard. Almost nobody can say how hard, in kilograms, or how many days of feed they are short. This guide builds a twelve-month calendar from your own herd and your own land, so the shortfall becomes a number you can plan against rather than a season you survive.

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Ask a Ugandan livestock keeper when feed runs short and you will get an immediate, confident answer. Ask how short, and the conversation stops.

That gap between knowing which months are hard and knowing how hard is the whole subject of this guide. It matters because the two lead to completely different behaviour. A keeper who knows the season is difficult braces for it. A keeper who knows they will be four hundred kilograms of dry matter short in the second half of January has a problem they can solve in August, when there is still standing grass to conserve, land to plant and time to decide.

The evidence that this is a real and severe problem in Uganda is not in dispute. A study by the national research organisation’s Mbarara institute recorded that south-western Uganda annually experiences prolonged drought resulting in a dramatic drop in milk production, that the area experiences drought for at least 183 days a year, and that during such periods milk yield occasionally drops to zero, with some cattle dying of starvation and dehydration due to lack of forage and water. Work in northern Uganda measured what closing part of that gap is worth: cows receiving dry-season supplementation produced more milk per day than unsupplemented controls.

Those are the two ends of the same fact. The dry season takes production, and feed put in front of the animal takes some of it back. The calendar is how you decide what to put there, and when to prepare it.

What this guide does

It builds one worksheet. On the left are the months. Down the page are your herd’s requirement and your farm’s supply. Where supply falls below requirement, you have a deficit month, and the size of that gap drives the decision.

It does not cover how to make hay or silage, which is separate work, nor the agronomy of planted fodder. It does not cover feed costing, which is dealt with in diagnosing your farm feed cost. It assumes you have already listed what feed resources exist on your farm; if you have not, start with the farm feed resource inventory, because the calendar has nothing to plot without it.

The companion overview of the whole subject is year-round fodder planning for goats and cattle. This guide is the arithmetic underneath it.

Why a calendar rather than a rule of thumb

Feed planning fails in a specific and predictable way. The farm looks fine for eight or nine months, so nothing is prepared. Then the grass stops, and every possible response is now expensive, slow or both. Planting takes a season. Conserving requires surplus that no longer exists. Buying happens at the moment every other keeper in the district is also buying. Selling happens when every other keeper is also selling, which is the worst price of the year.

A calendar does not create feed. It moves the decision point to a month where the options are still open.

There is a real method behind this. The feed assessment tool developed for exactly this purpose describes itself as a systematic method to assess local feed resource availability and use, and its data structure asks users to enter overall feed availability by month and then break it down by feed source. That is the structure this guide adapts to a single farm: month by month, source by source.

FIELD DECISION 1

Building a Twelve-Month Fodder Calendar for Your Own Farm

A blank twelve-month fodder calendar worksheet with a row for monthly herd requirement, rows for each feed source, a total supply row and a surplus or deficit row, all columns empty for the reader to complete.

Observe›Verify›Record›Act safely

Step one: fix the unit, and use it everywhere

Almost every fodder calendar that fails, fails here.

A keeper writes “two bags” under one month, “half the paddock” under another, and “a load of maize stover” under a third. None of those can be added together, so the total supply row is meaningless, so the deficit cannot be calculated, so the sheet becomes decoration.

Pick one unit and convert everything into it. The standard unit for this work is kilograms of dry matter, because it is the unit in which animal requirements are expressed and because it makes wet and dry feeds comparable. A fresh-cut bundle of Napier and a bale of hay of the same weight contain very different amounts of actual feed, and dry matter is what removes that confusion.

If kilograms of dry matter are genuinely beyond what you can estimate, the fallback is days of feeding for the whole herd, which is cruder but still additive. What you cannot do is mix units.

Write the chosen unit at the top of the sheet. The worksheet has a box for it for precisely this reason.

Step two: calculate the requirement

The requirement side is arithmetic, and the arithmetic is simple. The judgement is in one number.

Animals eat a proportion of their own body weight in dry matter each day. The published rules of thumb differ, and they differ for real reasons rather than because somebody is wrong:

FIELD DECISION 2

Building a Twelve-Month Fodder Calendar for Your Own Farm

A calculation graphic showing the steps from animal live weight, through a percentage of body weight as dry matter, to a daily requirement, then multiplied by days in the month and by animal numbers to give a monthly herd requirement.

Observe›Verify›Record›Act safely

Three things follow from that spread, and they matter more than the numbers themselves.

Do not carry a figure across species. The goat figure and the cattle figure are not interchangeable and using one for the other will produce a calendar that is wrong by a factor you will not notice until the animals tell you.

Feed quality moves the figure. The same animal eats a smaller proportion of poor feed than of good feed, which is one of the cruelties of the dry season: the intake rate falls at the same time as the supply does.

Use a figure, write down which one you used, and stay with it. A calendar built on 3 per cent and reviewed against reality at the end of the year teaches you something. A calendar where the percentage drifts teaches you nothing.

Then the rest is mechanical. Daily requirement for one animal, times the number of days in the month, times the number of animals in that class. Do it for each class separately, because a lactating cow, a dry cow, a heifer and a calf are different animals for this purpose, then add the classes to get the monthly herd requirement.

Enter that figure in the top row of the worksheet for all twelve months.

Step three: plot the supply, source by source

Now the harder half, because supply is not one number and it is not steady.

Take each feed source on your farm separately and give it its own row. Grazing. Cut-and-carry fodder plots. Crop residues. Purchased feed. Anything conserved and held in store. Then, month by month, estimate what that source will actually deliver.

Estimating grazing. This is the hardest to quantify and the most important to try. The practical approach is to stop treating the paddock as a single thing and start recording. Note when it stops carrying the herd without supplementation, note when it recovers after rain, and note the interval. One year of that observation is worth more than any published figure, because it is your land.

Estimating cut fodder. This one you can measure directly, and you should. Cut a known area, weigh it, and record both. A hanging spring balance and an exercise book are the entire equipment list.

Two men weigh a bundle of freshly cut green fodder on a hanging spring scale under a tree in Alebtong District while a third writes the reading in a exercise book.
Field detail - use with the checks and cited guidance in this article.

Remember that a fresh cut is mostly water. If your unit is dry matter, a fresh weight has to be converted, and the honest position is that without a drying oven you are estimating. State your assumption on the sheet rather than hiding it.

Estimating crop residues. These arrive in a pulse after harvest and then deteriorate. Plot them in the months they are actually available and usable, not in the months the crop was growing. Residues left in the field through a rainy season are not the same resource as residues brought in and stored.

Conserved feed. Enter it in the months you intend to feed it, not the month you made it. This is the whole point of conservation: it is supply moved deliberately from a surplus month to a deficit one.

Step four: find the deficit

Add the supply rows. Subtract from the requirement row. Write the result in the surplus or deficit row for every month.

This is the moment the sheet earns its existence. You now have, for each month, a number rather than a feeling.

Three patterns show up repeatedly, and each calls for a different response.

A short sharp deficit of one or two months. The most tractable case. There is usually enough surplus elsewhere in the year to cover it if that surplus is conserved rather than grazed off.

A long shallow deficit across four or five months. Harder, because conservation alone rarely covers it and the cumulative total is larger than it looks month by month. This pattern usually points to a stocking rate question rather than a conservation question.

A deficit that appears even in the wet months. This is not a seasonal problem. It is a farm that is carrying more animals than the land supports, and no amount of calendar work will fix it. That is a hard conclusion, and the calendar is the only way most keepers ever see it clearly.

A worked note on estimating a cut fodder plot

The supply row that most keepers find hardest is the planted fodder plot, and it is the one that can be measured most directly.

A Ugandan forage seed market study records Napier planting material requirements of 1,800 to 2,000 cuttings per acre and reports yields in the range of 3 to 5 tonnes per acre per cut. East African extension guidance for the same species reports that a well-managed plot can be harvested six to eight times in a year where rainfall is adequate.

Do not simply multiply those together and write the answer in your calendar. Two reasons. Those are fresh weights, and your calendar is in dry matter, so a conversion is needed and without a drying oven it is an estimate. And the harvest frequency is conditional on rainfall, which is precisely the variable that creates your deficit months in the first place: the plot that yields eight cuts in a good year will not yield eight in the year you most need it to.

The right use of those published figures is as a sanity check on your own measurements, not as a substitute for them. If your measured cut comes out wildly above or below that range, something is wrong with either the measurement or the plot, and finding out which is worth a morning.

Step five: check your months against your own rainfall, not the national pattern

Uganda’s national rainfall pattern is bimodal. The national meteorological guidance describes two major rainfall seasons, March to May and September to November or December, and states that the period from December to February is typically dry across Uganda, with February being the hottest month.

But the same source adds a qualification that matters enormously for a feed calendar: northern and parts of eastern Uganda usually receive substantial rainfall during June, July and August.

FIELD DECISION 4

Building a Twelve-Month Fodder Calendar for Your Own Farm

A twelve-month horizontal strip marking Uganda's two main rainy seasons, the typically dry period, and the note that northern and parts of eastern Uganda receive substantial rain in the middle of the year.

Observe›Verify›Record›Act safely

So a calendar built on the national pattern will be wrong for a large part of the country. If you are in the north or parts of the east, the mid-year months that are a deficit in the south-west may be a surplus for you.

Use the national pattern as a starting frame, then correct it against what you have actually recorded on your own farm. The method for building that record is in rainfall records and seasonal forecasts in farm planning, and its value compounds: the third year of records is worth far more than the first.

Step six: decide, and write the decision on the sheet

A deficit month with no action written against it is a deficit month you will meet unprepared.

FIELD DECISION 3

Building a Twelve-Month Fodder Calendar for Your Own Farm

A decision tree for responding to an identified deficit month, branching on how large the gap is, how many months ahead it falls, and whether land, labour or cash is the binding constraint.

Observe›Verify›Record›Act safely

The responses fall into five categories, and choosing between them is a matter of what your binding constraint actually is.

Conserve surplus from another month. The first option to consider whenever a surplus month exists. Conserving is covered separately in drum, bag and tube silage for small herds.

Plant additional fodder. Works only if the deficit is far enough ahead for establishment, which means this decision has to be made months early. Establishment is covered in planted fodder grasses.

Reduce the number of animals carried. The response keepers resist most and the one the arithmetic most often points to. A planned sale in a surplus month, at a price you chose, is a completely different transaction from a distress sale in the deficit month at the price everyone else is also accepting. How that price gets set is explained in how Ugandan farm-gate prices are formed.

Buy feed in, and budget for it. Legitimate, provided it is budgeted in advance rather than discovered as an emergency.

Accept reduced production, deliberately. Sometimes the right answer, particularly for a short deficit, is to plan for lower output in those weeks rather than spend heavily to prevent it. That is a decision, not a failure, and it is only available to a keeper who saw it coming.

Reviewing the calendar against what actually happened

The first calendar you build is a hypothesis, and treating it as anything more is the commonest way the exercise fails.

At the end of each month, write beside your predicted figures what actually occurred. Did grazing carry the herd as long as you expected. Did the plot yield what you assumed. Did the rains arrive in the month the national pattern says they should. Did you feed the conserved material in the month you planned to, or earlier.

Two things come out of that discipline. The obvious one is that next year’s calendar is built on your own measurements rather than on published averages, and is therefore substantially more accurate. The less obvious one is that you begin to see which of your assumptions were wrong in a consistent direction. A keeper who discovers that they systematically overestimate grazing by three weeks has learned something worth more than any single figure in this guide, because it corrects every future calendar they build.

Common mistakes

Mixing units. Bags, bundles, paddocks and kilograms do not add up.

Building the calendar once and never revising it. The first version is a hypothesis.

Using one intake percentage for every animal on the farm. Classes differ, species differ more.

Plotting crop residues in the growing months rather than the months they are usable.

Plotting conserved feed in the month it was made.

Ignoring that intake falls as feed quality falls, so the dry season squeezes from both directions.

Using the national rainfall pattern for a region it does not describe.

Leaving deficit months with no action written against them.

Treating destocking as defeat rather than as one of five legitimate responses.

Estimating grazing rather than recording it, year after year, and never accumulating the observation that would make the estimate good.

When to get outside help

Talk to a district production or veterinary officer, an extension officer or a livestock specialist when:

A practical action plan

This week: print the worksheet and write the unit at the top.

This week: list your animal classes and count them. Not a total. Classes.

This week: calculate the monthly requirement for each class and fill the top row for all twelve months. It is one calculation repeated, and it takes an evening.

This month: give every feed source its own row and fill in what you believe it delivers, month by month. Mark the cells you are least confident about; those are your measurement priorities.

This month: buy or borrow a hanging scale. Weigh one day’s cut from a known area and write it down. That single measurement will improve the whole sheet.

This month: subtract, and find your deficit months.

This month: write one action against each deficit month, with the month in which that action has to start. That second date is the one that matters.

Every month from now: record what actually happened beside what you predicted. Rainfall, when grazing failed, when it recovered, what you actually fed.

In twelve months: rebuild the calendar from your own records rather than from the estimates you started with. That version is the one worth keeping.

Conclusion

A fodder calendar is not a document that produces feed. It is a device for moving a decision from the month when it is impossible to the month when it is cheap.

The Ugandan evidence is blunt about what the dry season costs: milk yield falling, occasionally to nothing, and animals lost in the worst years. The same evidence shows that feed put in front of animals in those months recovers part of the loss. What stands between those two facts, for most farms, is not knowledge of the problem but the absence of a number early enough to act on.

Twelve columns, a few rows, one consistent unit, and a hanging scale. That is the whole method, and unlike almost everything else in livestock production, it costs nothing but an evening.

Author: Falcon Foundation Ltd Editorial Team

The Falcon Foundation Ltd Editorial Team produces evidence-based agricultural guidance for Ugandan farmers, drawing on published research and institutional sources and translating them into practical decision support. Where evidence is unavailable or contested, we say so rather than filling the gap.

Reviewed 11 September 202616 minutes
AGRICULTURAL REFERENCES

Sources and further reading

Priority is given to official Ugandan guidance, primary research and recognised technical institutions. Sources support the guide but do not replace site-specific advice, laboratory testing or professional diagnosis.

VERIFICATION RESOURCES

Useful official resources

International Livestock Research Institute. *FEAST: Feed Assessment Tool*, ILRI Project Profile, 2014. https://cgspace.cgiar.org/bitstreams/34b6510a-cc9d-451b-937f-9c6f1144cf75/download (accessed 11 September 2026). Evidence class: international primary, institutional. Geographic relevance: developed for and applied in Eastern Africa. Supports the method this guide adapts, the source describing the tool as a systematic method to assess local feed resource availability and use, combining farmer-centred diagnosis with a quantitative questionnaire completed between farmers and a facilitator, and producing reports on overall feed availability, quality and seasonality. Limitation: the tool is designed for site or community-level diagnosis by a facilitator rather than for an individual farm worksheet, which is the adaptation this guide makes.Verified research, official or technical reference used in this guide.International Livestock Research Institute. *Feed Assessment Tool (FEAST) data application user manual*, 20 May 2015. https://cgspace.cgiar.org/bitstreams/4144bf46-9455-414c-bd8c-cfa5465ee6a2/download (accessed 11 September 2026). Evidence class: international primary, institutional. Geographic relevance: Eastern Africa. Supports the month-by-month structure used here, the manual describing a feed availability tab in which users enter overall feed availability by month and then break it down by feed source. Limitation: the pages we could read describe the data entry structure rather than the underlying deficit calculation, so this guide sets out its own arithmetic explicitly rather than attributing a formula to the tool.Verified research, official or technical reference used in this guide.Gachuiri, C., Lukuyu, B., Lusweti, C. and Mwendia, S., in Lukuyu, B. and Gachuiri, C. (eds). *Feeding Dairy Cattle in East Africa*, East Africa Dairy Development Project, 2012. https://cgspace.cgiar.org/bitstreams/13ee5db4-0781-4092-a353-72c3931dce2d/download (accessed 11 September 2026). Evidence class: international primary, institutional. Geographic relevance: East Africa, including Uganda. Supports the dairy cattle intake figure used in the worked example, the source stating that a dairy cow weighing 400 kilograms will consume an equivalent of about 3 per cent of its body weight in dry matter, which is 12 kilograms of dry matter per day. Limitation: a single representative figure for a stated body weight; it is not a substitute for class-by-class calculation, which is why this guide asks the reader to work each class separately.Verified research, official or technical reference used in this guide.Merck Veterinary Manual. *Nutritional Requirements of Goats*. https://www.merckvetmanual.com/management-and-nutrition/nutrition-goats/nutritional-requirements-of-goats (accessed 11 September 2026). Evidence class: peer-reviewed veterinary reference, international. Geographic relevance: general. Supports the goat intake figure and its qualification, the source stating that goats can consume up to 6.5 per cent of their body weight as dry matter, resulting in a faster rate of passage through their digestive system, and noting that this limits digestion of lower-quality forage. Limitation: an upper figure rather than a planning average, and this guide states explicitly that it must not be carried across to cattle.Verified research, official or technical reference used in this guide.Limestone Coast Landscape Board, with Primary Industries and Regions South Australia and the Department for Environment and Water. *Calculating dry matter intakes for various classes of stock*. https://cdn.environment.sa.gov.au/landscape/docs/ny/908840-LSA-NY-Dry-times-Calculating-dry-matter-intakes-factsheet-FIN-V4-WEB.pdf (accessed 11 September 2026). Evidence class: government extension, international. Geographic relevance: South Australia; the principle is general. Supports the statement that cattle and sheep generally consume between 2 and 3 per cent of their live weight in dry matter daily, and that the figure varies with feed quality, being nearer 2 per cent on poor feed and 2.5 to 3 per cent on average feed. Limitation: Australian rangeland and pasture context; cited here for the relationship between feed quality and intake rather than as a Ugandan figure.Verified research, official or technical reference used in this guide.West Virginia University Extension. *Dry Matter Intake by Cattle*. https://extension.wvu.edu/agriculture/pasture-hay-forage/animal-nutrition/-dry-matter-intake-by-cattle (accessed 11 September 2026). Evidence class: peer-reviewed extension, international. Geographic relevance: temperate United States; the principle is general. Cited to show that intake can also be expressed on a fibre basis rather than as total dry matter, the source giving a rule that cattle can only eat 1.2 per cent of their body weight as neutral detergent fibre and noting explicitly that this rule originated for high-producing dairy cows and that cattle not producing high levels of milk can consume much greater levels. Limitation: a different and non-interchangeable basis of calculation, cited here to warn readers against mixing rules rather than to be used as the planning figure.Verified research, official or technical reference used in this guide.Renzaho Ntakyo, P., Kirunda, H., Tugume, G. and Natuha, S. *Dry Season Feeding Technologies: Assessing the Nutritional and Economic Benefits of Feeding Hay and Silage to Dairy Cattle in South-Western Uganda*. Open Journal of Animal Sciences 10, 2020, pages 627-648. National Agricultural Research Organisation, Mbarara Zonal Agricultural Research and Development Institute. https://www.scirp.org/journal/paperinformation?paperid=101880 (accessed 11 September 2026). Evidence class: peer-reviewed, with Ugandan national research institute authorship. Geographic relevance: south-western Uganda. Supports the statements quoted in this guide that south-western Uganda annually experiences prolonged drought that results in a dramatic drop in milk production, that the area experiences drought for at least 183 days a year, and that during such periods farmers experience a dramatic drop in milk production with yield occasionally dropping to zero and some cattle dying of starvation and dehydration due to lack of forage or water. Limitation: the authors themselves record that wet season conditions interfered with data generation such that the available data was inadequate for satisfactory statistical analysis, so the study is cited here for its description of the seasonal problem rather than for any quantified treatment effect.Verified research, official or technical reference used in this guide.Katongole, C.B., Kabirizi, J.M., Nanyeenya, W.N., Kigongo, J. and Nviiri, G. *Milk yield response of cows supplemented with sorghum stover and Tithonia diversifolia leaf hay diets during the dry season in northern Uganda*. Tropical Animal Health and Production 48(7), 2016, pages 1463-1469. https://link.springer.com/article/10.1007/s11250-016-1119-1 (accessed 11 September 2026). Evidence class: peer-reviewed. Geographic relevance: northern Uganda. Supports the statement that dry season supplementation measurably recovers part of the lost milk yield, the study reporting yields rising from the unsupplemented dry season control to higher daily yields under supplemented diets. Limitation: a supplementation response study with specific feeds in one region; this guide cites the direction of the effect and does not transfer its diets or figures.Verified research, official or technical reference used in this guide.Creemers, J. and Opinya, F.A. *Advancing Forage Seed Markets in Uganda*, final working paper, November 2022. https://cdn.nfpconnects.com/uploads/documents/Advancing-Forage-Seed-Market-in-Uganda-FINAL-22112022.pdf (accessed 11 September 2026). Evidence class: secondary, institutional market study. Geographic relevance: Uganda. Supports the planted fodder supply figures used in the worked note, the study recording Napier planting material requirements of 1,800 to 2,000 cuttings per acre and reported yields in the range of 3 to 5 tonnes per acre per cut. Limitation: a market study rather than an agronomic trial, and the yields are fresh weights reported by the trade rather than measured dry matter, which is why this guide uses them only as a sanity check on the reader's own measurement.Verified research, official or technical reference used in this guide.International Livestock Research Institute, Alliance of Bioversity International and CIAT, and the National Livestock Resources Research Institute, Uganda. *Napier grass (Cenchrus purpureus): Factsheets on forage species in East Africa*, January 2020. https://cgspace.cgiar.org/bitstreams/fb3f3bdb-2e91-43b5-ae21-9d06ac75ec89/download (accessed 11 September 2026). Evidence class: international primary, institutional, co-produced with Uganda's national livestock research institute. Geographic relevance: East Africa, produced for Ugandan extension use. Supports the statement that a well-managed Napier plot can be harvested six to eight times in a year with adequate rainfall, which is the harvest frequency used in the worked note. Limitation: the figure is conditional on adequate rainfall, which is stated in the body because that condition fails in exactly the months the calendar is built to find.Verified research, official or technical reference used in this guide.
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