Real Time QTL of complex phenotypes in tomato interspecific introgression lines

Amit Gur, Yaniv Semel, Avigdor Cahaner, Dani Zamir*

*Corresponding author for this work

Research output: Contribution to journalShort surveypeer-review

42 Scopus citations

Abstract

A current bioinformatic challenge is to include information in genomic databases about subtle phenotypic differences that show continuous distribution in segregating populations. Real Time quantitative trait loci (QTL) present, in silico, a range of statistical and graphical outputs that describe components of the genetic variation using wild species introgression lines of tomato (http://zamir.sgn.cornell.edu/). Yield-associated phenotypes are included in a relational database that enables mapping QTL, viewing associations between traits, and searching for specific combinations of desired phenotypes.

Original languageEnglish
Pages (from-to)107-109
Number of pages3
JournalTrends in Plant Science
Volume9
Issue number3
DOIs
StatePublished - Mar 2004

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