Certain characteristics of some vegetable crops allow multiple harvests during the production cycle; however, to our knowledge, no study has described the behavior of fruit production with progression of the production cycle in vegetable crops with multiple harvests that present data overdispersion. We aimed to characterize the data overdispersion of zero-inflated variables and identify the behavior of these variables during the production cycle of several vegetable crops with multiple harvests. Data from 11 uniformity trials were used without applying treatments; these comprise the database from the Experimental Plants Group at the Federal University of Santa Maria, Brazil. The trials were conducted using four horticultural species grown during different cultivation seasons, cultivation environments, and experimental structures. Although at each harvest, a larger number of basic units with harvest fruit was observed than units without harvest fruit, the basic unit percentage without fruit was high, generating an overdispersion within each individual harvest. The variability within each harvest was high and increased with the evolution of the production cycle of Capsicum annuum, Solanum lycopersicum var. cerasiforme, Phaseolus vulgaris, and Cucurbita pepo species. However, the correlation coefficient between the mean weight and number of harvest fruits tended to remain constant during the crop production cycle. These behaviors show that harvest management should be done individually, at each harvest, such that data overdispersion is reduced.

The objective of this study was to compare interpolation methods of ordinary kriging and inverse distance weighted applied to the spatial distribution of Oebalus poecilus and Oebalus ypsinolgriseus population densities in irrigated rice. In two crops, it was generated a grid of 30 x 30 m sampling, termed Area 1 and Area 2 with 39 and 192 sampling units (1 m 2 , corresponding to 200 rice plants), respectively. Seven evaluations were carried out from sowing to harvesting. In these areas, O. poecilus and O. ypsilongriseus adults were quantified and the sum of each species was used for analysis. Values were submitted to the ordinary kriging interpolation and inverse distance weighted for different semivariogram models, in which the cross-validation technique was used for defining the best interpolator. The ordinary kriging interpolation method showed a better performance than the method of inverse distance weighted applied in the spatial distribution of population density of O. poecilus in rice cultivation. O. ypsilongriseus could not generate estimates for comparison.