On many farms, traps are checked every week and catches are noted down on paper or in an Excel sheet. Yet when it comes to treating, the decision still comes from the calendar, or from what was done last year. The numbers are there, but nobody looks at them.
For that information to be useful, it needs to be brought together in a flight curve and read correctly. The curve shows when the pest started flying, when it peaked and how many generations have already passed. With that, you can treat before the damage appears, rather than chasing it.
A flight curve brings together, week by week, the catches of adult insects of a pest over the season. Most traps use species-specific sex pheromones that attract only males. This is the method used for the European grapevine moth, codling moth or tomato leafminer. For the Mediterranean fruit fly and other pests, food attractants or coloured sticky traps are used instead.
It is worth bearing in mind that the curve measures adult activity. Damage comes later and has to be assessed separately.
Start of flight. When catches begin to appear regularly, they mark the start of adult activity.
Peak of each flight. This indicates the highest mating activity. Egg-laying follows shortly after, and eggs hatch sooner or later depending on the heat.
Number of generations. Each rise and fall corresponds to one flight. If catches never get close to zero between two peaks, the generations are overlapping.
Intensity and comparison. The height of the peaks shows pest pressure and allows plots, traps and seasons to be compared. A flight higher than the previous one may indicate that the population is growing.
The chart below is an example with fictitious values, where each point is the number of catches per trap in one week.
For most pests, the damage is done by the larvae, and they only appear days or weeks after the adults fly. That is why the curve alone does not tell you when to treat. It has to be combined with other factors:
In Wisecrop’s Crop Health App, pest observations can be recorded manually, from counts made in the field, or arrive automatically from integrated smart traps, such as Trapview’s. Whatever the source, the curve builds up as the data comes in, with no paper or files in between.
With catches, models and treatments in the same place, it is easier to see at the end of the season whether treatments were applied at the right time, and what to adjust the following year.