Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response.

ABSTRACT: 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 F4 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). Several parameters, including training population size, composition and marker quality were tested to predict genotype performance under heat stress conditions. A

SUBMITTER: Cappetta E 

PROVIDER: S-EPMC8484564 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature