JAGF4 and JAGF5 population dataset of tomato plant

Many studies showed that few degrees above tomato
optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of innovative
strategies to obtain tomato cultivars with improved yield under high
temperature conditions is a main goal both for basic genetic studies and
breeding activities. In this paper, a JAGF4 segregating population was phenotypically
evaluated for quantitative and qualitative traits under heat stress conditions.
Moreover, a genotyping by sequencing
(GBS) approach has been employed
for building up genomic selection
(GS) models both for yield and soluble solid content (SCC).
A good
prediction accuracy for the two analyzed traits (0.729 for yield production and
0.715 for SCC) was obtained. The predicted models improved the genetic
gain of selection in the next breeding cycles, suggesting
that GS approach is a promising strategy to accelerate breeding for heat
tolerance in tomato.