Building the Embrapa rice breeding dataset for efficient data reuse

Embrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree phenotypic data. However, there were no systematic standards data recording nor long-term preservation reuse strategies. With the new aim making practical, we recovered all available structured it into Rice Breeding Dataset (ERBD). In its current version, ERBD includes 20,504 crosses involving 9,974 parents, pedigrees most 4,532 inbred lines that took part in advanced field trials, from 2,711 trials (1,118 irrigated, 1,593 trials), representing 226,458 plots. Those conducted over 38 years (1982–2019), 247 locations, latitudes ranging 3°N to 33°S. Phenotypic traits included grain yield, days flowering, plant height, canopy lodging, five important fungal diseases: leaf blast, panicle brown spot, scald, discoloration. The total number points surpasses 1.27 million. Descriptive statistics computed dataset, split by cropping systems (irrigated or upland). mean heritability yield was high both systems, at around .7, whereas coefficient variation 13.9% 18.7% trials. offers possibility conducting studies on different aspects genetics, including genetic gain, G×E analysis, genome-wide association genomic prediction.