







Cucumber Breeding Programs rely on the evaluation of numerous phenotypic traits throughout the crop cycle to support selection decisions. However, some traits may be strongly correlated, meaning that certain measurements could provide overlapping information. A better understanding of these relationships offers an opportunity to streamline phenotyping protocols. In parallel, optimizing the timing and frequency of trait evaluation could reduce labor while maintaining robust and reliable data for decision-making. Obejectives The objectiv of this internship is to improve phenotyping efficiency by: - Participating in the phenotyping of traits within an activ breeding program - Identifying correlations, redundancy among traits or overlapping information between cucumber traits - Assessing the appropriate frequency of trait evaluation during the crop cycle - Proposing an optimized phenotyping strategy aligned with the product model Expected Outcomes This internship is expected to deliver: - A comprehensive report outlining recommendations for optimal trait scoring frequency across the crop cycle