Fig WGS lineage project · experiments at home
Two ways to turn “these taste different” or “this one grows differently” into evidence: a blind triangle tasting scored with an exact p-value, and a simple, consistent record of how each plant grows and fruits.
Is there a difference anyone can taste?
A triangle test answers exactly one question: can tasters tell the two figs apart? It does not say which is better, why they differ, or whether the difference comes from the variety rather than the garden, the tree or the day. It is the standard sensory discrimination test used in food science (ISO 4120, ASTM E1885), and it works at a kitchen table.
Each taster receives three samples in coded cups. Two come from one fig, one from the other. The taster must pick the one that is different — even when unsure. If there were no perceptible difference, a taster would pick correctly one time in three by chance. So the question becomes: did more tasters pick correctly than chance explains? The probability that guessing alone would do at least that well is the p-value.
Session planner
Count the correct answers, k, out of n tasters. The p-value is the probability that guessing alone would give at least k correct — an exact binomial calculation with a one-in-three chance per taster:
p = Σi=kn C(n, i) (1/3)i (2/3)n−i
p-value calculator
Or read the threshold from the table: the fewest correct answers that reach each significance level for a panel of that size.
| Tasters | p < 0.05 | p < 0.01 | p < 0.001 |
|---|---|---|---|
| 12 | 8 | 9 | 10 |
| 18 | 10 | 12 | 13 |
| 24 | 13 | 15 | 16 |
| 30 | 15 | 17 | 19 |
| 36 | 18 | 20 | 22 |
| Tasters | p < 0.05 | p < 0.01 | p < 0.001 |
|---|---|---|---|
| 6 | 5 | 6 | — |
| 7 | 5 | 6 | 7 |
| 8 | 6 | 7 | 8 |
| 9 | 6 | 7 | 8 |
| 10 | 7 | 8 | 9 |
| 11 | 7 | 8 | 10 |
| 12 | 8 | 9 | 10 |
| 13 | 8 | 9 | 11 |
| 14 | 9 | 10 | 11 |
| 15 | 9 | 10 | 12 |
| 16 | 9 | 11 | 12 |
| 17 | 10 | 11 | 13 |
| 18 | 10 | 12 | 13 |
| 19 | 11 | 12 | 14 |
| 20 | 11 | 13 | 14 |
| 21 | 12 | 13 | 15 |
| 22 | 12 | 14 | 15 |
| 23 | 12 | 14 | 16 |
| 24 | 13 | 15 | 16 |
| 25 | 13 | 15 | 17 |
| 26 | 14 | 15 | 17 |
| 27 | 14 | 16 | 18 |
| 28 | 15 | 16 | 18 |
| 29 | 15 | 17 | 19 |
| 30 | 15 | 17 | 19 |
| 31 | 16 | 18 | 20 |
| 32 | 16 | 18 | 20 |
| 33 | 17 | 18 | 21 |
| 34 | 17 | 19 | 21 |
| 35 | 17 | 19 | 22 |
| 36 | 18 | 20 | 22 |
| 37 | 18 | 20 | 22 |
| 38 | 19 | 21 | 23 |
| 39 | 19 | 21 | 23 |
| 40 | 19 | 21 | 24 |
| 42 | 20 | 22 | 25 |
| 45 | 21 | 24 | 26 |
| 48 | 22 | 25 | 27 |
| 50 | 23 | 26 | 28 |
| 54 | 25 | 27 | 30 |
| 60 | 27 | 30 | 33 |
A dash means no score reaches that level with so few tasters. Values are exact binomial tails with a chance rate of one in three, computed when this page is built.
Not everyone perceives a small difference. Suppose some share of your tasters genuinely can tell the figs apart and the rest guess: the table gives the chance that a panel of each size comes out significant at p < 0.05.
| Tasters | 20% can tell | 30% can tell | 50% can tell |
|---|---|---|---|
| 12 | 14% | 26% | 63% |
| 18 | 30% | 52% | 89% |
| 24 | 30% | 55% | 93% |
| 30 | 43% | 71% | 98% |
| 36 | 41% | 72% | 99% |
| 48 | 60% | 88% | >99% |
| 60 | 65% | 92% | >99% |
So a dozen friends will usually catch an obvious difference and usually miss a subtle one: if only 30% of tasters can perceive it, 12 tasters detect it 26% of the time and 30 tasters 71%.
A non-significant result means the test did not detect a difference — not that there is none. Claiming that two figs taste the same is a different, harder test, and it has to be planned as one: choose the largest share of discriminating tasters you would still call “no meaningful difference” (30% is a common choice), and use enough tasters that a low score becomes strong evidence. With a 5% risk of wrongly concluding “the same”, the most correct answers that still support the claim are:
| Tasters | Most correct that still supports “the same” | Chance average |
|---|---|---|
| 12 | 3 | 4 |
| 24 | 8 | 8 |
| 30 | 11 | 10 |
| 36 | 13 | 12 |
| 48 | 19 | 16 |
| 60 | 25 | 20 |
| 72 | 30 | 24 |
| 96 | 42 | 32 |
With 12 tasters the claim needs 3 or fewer correct — fewer than guessing would give — so a small panel can almost never show that two figs taste alike. Showing “different” takes a dozen people; showing “the same” takes several dozen.
Is there a difference in how they grow and fruit?
Growth and fruiting claims — “more vigorous”, “ripens a week earlier”, “bigger fruit”, “sweeter” — can be tested with a tape measure, a kitchen scale, a refractometer and a calendar. The rules that make the numbers mean something matter more than the tools.
The first date a leaf has fully unfolded anywhere on the plant.
The first date a new main-crop fig is visible in a leaf axil at pea size (about 5 mm). Record breba figs separately: they form on last year’s wood.
First-fig date minus bud-break date.
Tag three comparable shoots per plant (for example the three strongest upright shoots). Measure each with a flexible tape from where this season’s growth starts — the end of last year’s wood — to the tip. Rate = change in length ÷ days between measurements × 7.
On the same shoots, measure from the 5th to the 15th node of this season’s growth and divide by 10. That skips the crowded base and the unfinished tip; on a shorter shoot, use the longest run you can and note which nodes.
Weigh each ripe fig on the day it is picked, stem trimmed flush, on a scale that reads to 0.1 g. Note split or damaged fruit.
Zero a temperature-compensated refractometer with distilled water at the start of each session. Squeeze a few drops of juice from the pulp (not the skin), for example through a garlic press, onto the prism; wipe it clean between fruits. Take two readings per fig and average them. Pick in the morning, and note recent rain or watering, which dilutes sugar.
Tag each fig with a dated tie when it reaches pea size. Days to ripen = harvest date minus tag date, using your written definition of ripe.
Also record the context: location and climate zone; in the ground or in a container (and the pot volume); own-root or grafted; plant age; weekly high and low temperatures, or a nearby weather station; rain and irrigation; feeding; pruning dates; pests, disease, fruit drop and splitting.
Every “days to” figure is mostly a thermometer. Compare varieties within one garden and one season. To compare across gardens or years, convert days to growing degree days: for each day, add the day’s average temperature above a base — max(0, (high + low) / 2 − 10 °C), or − 50 °F in Fahrenheit — and sum from the start date. A base of 10 °C (50 °F) is a common choice.
One row per measurement, so nothing needs re-typing later. The template has these columns and a few example rows:
date, plant_id, variety, source, measurement, item_id, value, unit, notes
Summarize each plant first — its mean Brix, mean fruit mass, median days to ripen, bud-break date — and then compare the plant summaries between varieties. Twenty figs from one tree are not twenty replicates of a variety; they are twenty measurements of one tree. With three or more plants per variety, a two-sample comparison of the plant means (a Welch t-test, or a Mann–Whitney test for small or lopsided data) is the right tool. With fewer, report the numbers and do not claim a difference.
Whichever experiment you run, keep the raw sheets. They are what lets anyone else check the result.