Dataset for: Quantitative trait loci associated with improved fruit yield under heat-stress conditions in fresh-market tomato.
Description
Tomato production during the fall season in Florida is affected by high temperatures that coincide with flowering and early fruit development, often leading to poor fruit set and reduced yields. We hypothesized that specific genomic regions in a fresh-market tomato recombinant inbred line (RIL) population segregate for fruit yield under naturally occurring heat stress, and that identifying these regions would provide genetic targets for breeding programs targeting high-temperature production environments. To explore this, we evaluated a RIL population derived from crossing a heat-tolerant parent with a heat-susceptible parent across three fall growing seasons in Florida. Plants were transplanted in early August so that the critical flowering and fruit-setting stages would occur during the hottest part of the season. Fruit was harvested multiple times throughout the season and yield was recorded at each harvest. DNA was extracted from each line and genotyped using a commercial SNP marker panel, which was used to build a genetic map and identify regions of the genome associated with yield differences among the lines. A follow-up validation study was conducted in a subsequent fall season using backcross populations segregating for the major chromosome 12 region to confirm the contribution of this locus to fruit yield under heat stress. The results showed that several regions of the tomato genome were associated with fruit yield under heat stress, with one region on chromosome 12 standing out as particularly consistent across years and populations. Lines carrying the favorable version of this chromosome 12 region consistently produced more fruit under hot field conditions than lines without it. The uploaded ZIP file contains data files supporting this study. The raw fruit yield data file contains plot-level yield measurements recorded across multiple harvest windows and growing seasons for all evaluated lines. The calculated BLUE file contains best linear unbiased estimates derived from the raw yield data for each genotype and year, representing the adjusted genotypic performance values used as input for QTL mapping. The linkage map construction file contains the filtered SNP marker data used to build the genetic map. The QTL analysis file contains the data inputs used for multi-environment QTL analysis. The weather data file contains daily maximum and minimum temperature records obtained from the Florida Automated Weather Network (FAWN) Balm station for the duration of the growing seasons, which were used to characterize heat stress conditions during the field evaluation period. The phenotype folder also contains fruit yield data file from the backcross validation populations evaluated to confirm the effect of the chromosome 12 locus on fruit yield under heat stress conditions. Readers are encouraged to refer to the associated publication for full details on methods, statistical analyses, and interpretation of results.
Files
Institutions
- University of FloridaFlorida, Gainesville