Genetic mapping of quantitative trait loci in plants : a novel statistical approach

R.C. Jansen

Research output: Thesisexternal PhD, WU

Abstract

Quantitative variation is a feature of many important traits such as yield, quality and disease resistance in crop plants and farm animals, and diseases in humans. The genetic mapping, understanding and manipulation of quantitative trait loci (QTLs) are therefore of prime importance. Only by using genetically marked chromosomes is it possible to detect and map these QTLs. The recent advent of complete genetic maps of molecular markers for many plant and animal species therefore heralds a new era for quantitative genetics. The "Interval mapping" approach to QTL mapping is now widely used, though true resolution of quantitative variation into QTLs. is hampered because only single-QTL models are used. Here we develop a novel analytical approach, "MQM mapping", where MQM is an acronym for multiple-QTL models as well as for marker-QTL-marker. Computer simulation work and practical experiments in tomato and in the model organism Arabidopsisthaliana demonstrate the superiority of the new approach over the conventional one in genetic mapping of multiple genes underlying quantitative variation.

Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • Stam, P., Promotor, External person
  • Curnow, R.N., Promotor, External person
Award date27 Feb 1995
Publisher
Print ISBNs9789073771147
DOIs
Publication statusPublished - 27 Feb 1995

Keywords

  • chromosome maps
  • gene mapping
  • genes
  • molecular genetics
  • cum laude

Fingerprint

Dive into the research topics of 'Genetic mapping of quantitative trait loci in plants : a novel statistical approach'. Together they form a unique fingerprint.

Cite this