Features
Part of Cut flower crop selection and production guide, updated for 2027
Can a smaller cut flower crop list still cover four dependable earners?
Cut flower crop mix case study showing how a fictional farm used crop cards, bed weeks, labor, culls, buyer demand, and trials to simplify production.
What to take away
- The fictional farm grew 42 cultivars but could not fill its recurring orders.
- Crop cards exposed concentrated harvests, weak summer snapdragons, and unsold dahlia colors.
- Marketable stems per bed week and labor hour changed the crop ranking.
- Buyer interviews protected useful variety while removing unsupported choices.
- Small trials replaced full-bed bets on new crops.
This fictional case uses illustrative numbers. It shows a review method, not expected yield, price, or demand for another farm.
The problem was variety without dependable supply
Brookside Stems sold at one farmers market and to six florists. It grew sunflowers, snapdragons, zinnias, dahlias, celosia, cosmos, amaranth, basil, and several fillers. Seed orders emphasized new colors. The field looked diverse, but weekly availability lists were erratic.
Florists asked for ten bunches of a repeatable filler and received three. Farmers market buckets held many one-off varieties that were hard to explain and bunch. The owner believed more crops would smooth supply, so the list grew each winter.
Reconstruct each crop slot
The farm made one card per cultivar and planting date. It added planned and actual sowing, bed entry, first cut, peak, final cut, bed clear, marketable stems, culls, harvest minutes, processing minutes, and realized sales.
The first review found:
| Crop finding | Hidden cost |
|---|---|
| six sunflower cultivars flowered within the same ten days | surplus followed by a supply gap |
| two snapdragon groups were planted on one date | short hot-season stems and heavy culling |
| five dahlia colors had strong yield but little buyer demand | harvest and cooler work on unsold stems |
| one basil and one celosia trial had repeat florist requests | too little trial space to supply demand |
Ask buyers about product roles
Brookside stopped asking, "Which flowers do you like?" It asked each florist for form, color family, minimum stem, bunch unit, preferred maturity, weekly volume, weeks needed, and acceptable substitutions.
Utah State University Extension's survey of florist preferences for local cut flowers illustrates why buyer evidence matters: growers need information about desired crops, purchasing behavior, quality, and local supply constraints. Brookside used its own customer interviews rather than treating another region's results as its order sheet.
The interviews showed that florists valued dependable white and blush filler, straight snapdragon spikes in cool weeks, and specific dahlia forms. Novel colors still had a role, but only in small event-driven blocks.
Rank crops with three denominators
The owner had ranked crops by stems per plant. She recalculated:
- marketable stems per bed foot;
- marketable stems per bed week; and
- contribution after crop-specific costs per labor hour.
The result changed the portfolio. One dahlia produced many stems per plant but occupied wide spacing all season and needed slow processing. A celosia trial produced fewer stems per plant yet moved quickly in recurring bunch orders. A sunflower block earned well when sown to an order, but lost value when several plantings overlapped.
Redesign the crop mix
Brookside divided next year's area:
- proven core crops tied to recurring demand;60 percent
- seasonal crops with confirmed event or market windows;20 percent
- flexible successions that could respond to demand; and10 percent
- replicated trials with no promised volume.10 percent
Snapdragon groups received separate sowing and transplant windows. Single-stem sunflowers moved to smaller weekly blocks. Zinnia colors were reduced to those selling in both channels. Dahlia stock was narrowed by form, demand, stem quality, and health record.
Keep consumer demand separate
The farmers market did not want the same product mix as florists. Brookside tracked ready-made bouquet sales by size and color family, plus bunch sell-through by hour.
Utah State's study of farmers market preferences for local cut flowers examines consumer purchasing in that specific channel. Brookside used the distinction, then relied on its own transaction data to decide which market crops earned space.
Create gates for new crops
A new cultivar now passed four stages:
- Propagation:acceptable emergence, survival, and labor.
- Production:useful timing, marketable yield, stem quality, and manageable risk.
- Postharvest:acceptable vase and transport performance under a standard test.
- Market:actual buyer acceptance at a price that covered costs.
Failure did not always end a trial. It defined the next question. A short stem could justify a cooler planting window; an unwanted color did not justify an agronomic retest.
Result after one season
The farm grew 24 cultivars instead of 42. Total blooms fell slightly, but marketable sell-through rose. Sunflower gaps narrowed, snapdragon culls fell in the revised windows, and harvest crews spent less time on dahlia colors without orders.
The retained trials still brought novelty. The change was that novelty occupied measured space and answered a production or market question.
Common questions
Did fewer cultivars make bouquets repetitive?
No. The farm kept several forms, seasonal accents, foliage, and a defined trial area. It reduced unsupported duplication, not all variety.
Why reserve flexible succession space?
It allowed the farm to respond to observed demand without displacing committed core production.
Should every crop be profitable alone?
A filler may support bouquet or account sales that are evaluated together, but its labor, space, and opportunity cost still need to be visible.
How often should the crop mix be reviewed?
Review during harvest, at crop close, and before ordering. Do not wait until winter memory replaces actual cull, labor, and sales records.
