Dataset for: Towards the high-throughput characterization and phenotyping of resistance and tolerance to virus infection in sweetpotato

This dataset corresponds to a field trial experiment carried out in the facilities of CIP-San Ramon between September 2021 and February 2022 with the aim: i) to assess LAMP accuracy in virus load determination compared with quantitative PCR, and ii) to associate temporal remotely sensed data to susceptible, tolerant, and resistant genotypes to combined infection by SPVD utilizing Machine Learning algorithms. Three SPVD (SPFMV, SPCLV, and SPCSV) were evaluated in twelve genotypes subjected to three treatments: healthy control, infected by graft, and natural infected. For this, spatial data at canopy level recovered from multispectral and thermal images were obtined in 4 diferent phenological stage during the growing season. Also symtom score, total virus load, carbon isotopic discrimination and total biomass yield were measurement.