Quantitative Trait Loci in Brassica rapa,

Abstract

This paper briefly examines current methodology for developing genetic linkage maps and using them to find loci for quantitative traits (QTL). Maximum likelihood interval mapping is viewed as an extension of classical least squares methods when the trait of interest is normally distributed and located near a genetic marker. Some problems in finding multiple loci for a quantitative trait are examined for days to budding as measured on F2 plants from a Brassica rapa cross. Relevant design aspects of molecular biology experiments are briefly noted.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007146

Entities

People

  • Brian S. Yandell

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Biology
  • Biostatistics
  • Computer Science
  • Data Science
  • Engineering
  • Genetic Markers
  • Information Science
  • Least Squares Method
  • Molecular Biology
  • Statistical Analysis
  • Statistics
  • Theoretical Computer Science

Readers

  • Aquatic Ecology
  • Molecular and genetic basis of cancer.
  • Theoretical Analysis.

Technology Areas

  • Biotechnology