Determination of the optimal number of evaluations in half-sib progenies of kale by Bayesian approach

ABSTRACT Kale has a long vegetative cycle, requiring lot of labor, due to the need for tutoring, thinning and multiple harvests, leading difficulties in maintenance evaluation experiments. Thus, objective was estimate minimum number evaluations assertive selection half-sib progenies kale by means repeatability study Bayesian approach. Twenty four were evaluated randomized block design with replicates five plants per plot. The shoots, marketable leaves, fresh mass leaves leaf measured throughout 15 harvests. All traits showed high estimates repeatability, indicating regularity expression during harvesting period. With eight harvests it is possible evaluate all coefficient determination superior 85% kale.