Product and biological-control decisions often depend on a small number of efficacy studies. The challenge is separating a promising result from a robust conclusion.

Look beyond statistical significance

Ask whether the effect size is operationally meaningful, not only whether a p-value crosses a threshold.

Check replication and independence

Multiple measurements from the same experimental unit do not necessarily provide independent evidence. Experimental design matters.

Ask how closely the study matches your use case

Crop, pest stage, climate, production system, application timing and baseline pest pressure all affect external validity.

Compare against relevant alternatives

A treatment can outperform an untreated control while still being weaker than the current standard or unsuitable for an IPM program.

Identify what remains uncertain

A useful technical review should state not only what the evidence supports, but also where the evidence is thin, inconsistent or missing.

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