This is the first of a two-part series that describes the methods and uses of QTL analysis. Understanding the genetic control of quantitative traits helps plant breeders improve crop yield, disease resistance, end-use quality, and other important characteristics. Quantitative trait locus (QTL) analysis is a methodology that combines DNA marker and phenotypic trait data to locate and characterize genes that influence quantitative traits. In this pair of lessons (QTL Analysis 1 and 2) we will provide an overview of the methods and uses of QTL analysis rather than detailed explanations of this complex statistical methodology. Upon completing this lesson (QTL Analysis 1) you should be able to: Explain the basic concepts of QTL analysis. List ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
Abstract were several such genes segregating in a Mendelian fash-ion in any given population and the...
Current technologies for high-throughput molecular profiling of large numbers of genetically differe...
This is the second of a two-part series that describes the methods and uses of QTL analysis. Objecti...
This is the second of a two-part series that describes the methods and uses of QTL analysis. Objecti...
Although the term quantitative trait locus (QTL) strictly refers merely to a genetic variant that ca...
Most traits of interest in plant breeding show quantitative inheritance, which complicate the breedi...
Quantitative trait locus (QTL) analysis is a powerful approach to map and subsequently identify gene...
Most of the traits that plant breeders work with in their breeding programs are quantitative traits....
Many important traits in plant and animal populations such as yield, quality, and resistance/tolera...
Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulati...
Most traits of interest in plant breeding show quantitative inheritance, which complicate the breedi...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
Abstract were several such genes segregating in a Mendelian fash-ion in any given population and the...
Current technologies for high-throughput molecular profiling of large numbers of genetically differe...
This is the second of a two-part series that describes the methods and uses of QTL analysis. Objecti...
This is the second of a two-part series that describes the methods and uses of QTL analysis. Objecti...
Although the term quantitative trait locus (QTL) strictly refers merely to a genetic variant that ca...
Most traits of interest in plant breeding show quantitative inheritance, which complicate the breedi...
Quantitative trait locus (QTL) analysis is a powerful approach to map and subsequently identify gene...
Most of the traits that plant breeders work with in their breeding programs are quantitative traits....
Many important traits in plant and animal populations such as yield, quality, and resistance/tolera...
Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulati...
Most traits of interest in plant breeding show quantitative inheritance, which complicate the breedi...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
In crop plants quantitative variation is a feature of many important traits, such as yield, quality ...
Abstract were several such genes segregating in a Mendelian fash-ion in any given population and the...
Current technologies for high-throughput molecular profiling of large numbers of genetically differe...