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Open AccessArticle

Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes

1
Department of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, Italy
2
ALMA SEGES Soc. Coop., Eboli, 84025 Salerno, Italy
*
Author to whom correspondence should be addressed.
Current Address: CRAG Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, 08193 Barcelona, Spain.
These authors contributed equally to this work.
Agronomy 2019, 9(1), 22; https://doi.org/10.3390/agronomy9010022
Received: 30 November 2018 / Revised: 22 December 2018 / Accepted: 4 January 2019 / Published: 8 January 2019
(This article belongs to the Special Issue Genetics and Genomics of Tomato and Solanaceae)
High temperature is one of the most detrimental abiotic stresses in tomatoes. Many studies highlighted that even small increases in temperature can alter the plant reproductive system, causing a significant reduction in tomato yield. The aim of this study was to exploit the phenotypic and genomic variations of a tomato landrace collection grown at high temperatures. Fifteen genotypes were selected as the best performing in two experimental fields. The selection was based on six yield-related traits, including flower earliness, number of flowers per inflorescence, fruit set, number of fruit per plant, fruit weight and yield per plant. In order to identify markers targeting traits that could be highly influenced by adverse climate conditions, such as flowering and fruit setting, an association mapping approach was undertaken exploiting a tomato high-throughput genomic array. The phenotypic variability observed allowed us to identify a total of 15 common markers associated with the studied traits. In particular, the most relevant associations co-localized with genes involved in the floral structure development, such as the style2.1 gene, or with genes directly involved in the response to abiotic stresses. These promising candidate genes will be functionally validated and transferred to a cultivated tomato to improve its performance under high temperatures. View Full-Text
Keywords: tomato landraces; yield-related traits; selection index; SolCAP genomic platform; SNP; association mapping; candidate genes tomato landraces; yield-related traits; selection index; SolCAP genomic platform; SNP; association mapping; candidate genes
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Ruggieri, V.; Calafiore, R.; Schettini, C.; Rigano, M.M.; Olivieri, F.; Frusciante, L.; Barone, A. Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes. Agronomy 2019, 9, 22.

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