Conclusion: This study shows the relevance of a new estimator of prevalence of improvement in MS.

We find that using the new estimator and recursive trimming process provides more accurate estimates, especially when used in conjunction with sampling weights.

The finite-sample performance of these new estimators is explored in a simulation study.

Cassava breeding programs can be more realistically implemented using the new estimators proposed in this study, providing less risky practical inferences.