Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A new genus (<i>Durabilispora</i>) and two new species (<i>D. carpatica</i>, <i>Dominikia tatrensis</i>) in <i>Glomerales (Glomeromycota)</i>.

MycoKeys·2026
Same author

Corrigendum: Błaszkowski J, Zubek S, Milczarski P, Malinowski R, Niezgoda P, Goto BT (2025) New taxa and a combination in Glomerales (Glomeromycota, Glomeromycetes). MycoKeys 112: 253-276. https://doi.org/10.3897/mycokeys.112.136158.

MycoKeys·2026
Same author

Corrigendum: Błaszkowski J, Goto BT, Zubek S, Milczarski P, Malinowski R, Niezgoda P, Błaszkowski T (2025) <i>Paracorymbiglomus</i> gen. nov., <i>Diversispora conica</i> sp. nov., and new combinations in Diversisporaceae (Glomeromycota). MycoKeys 117: 171-190. https://doi.org/10.3897/mycokeys.117.148052.

MycoKeys·2026
Same author

Erratum: Corrigendum: Błaszkowski J, Goto BT, Zubek Sz, Milczarski P, Malinowski R, Niezgoda P, Błaszkowski T (2025) <i>Paracorymbiglomus</i> gen. nov., <i>Diversispora conica</i> sp. nov., and new combinations in Diversisporaceae (Glomeromycota). MycoKeys 117: 171-190. https://doi.org/10.3897/mycokeys.117.148052.

MycoKeys·2025
Same author

<i>Paracorymbiglomus</i> gen. nov., <i>Diversisporaconica</i> sp. nov., and new combinations in Diversisporaceae (Glomeromycota).

MycoKeys·2025
Same author

New taxa and a combination in Glomerales (Glomeromycota, Glomeromycetes).

MycoKeys·2025

Related Experiment Video

Updated: Jun 28, 2025

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
11:37

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

Published on: June 22, 2017

16.3K

QTL Mapping Using RIL Population.

Paweł Milczarski1, Stefan Stojałowski1, Beata Myśków2

  • 1Department of Plant Genetics, Breeding and Biotechnology, West Pomeranian University of Technology in Szczecin (ZUT), Szczecin, Poland.

Methods in Molecular Biology (Clifton, N.J.)
|April 24, 2024
PubMed
Summary
This summary is machine-generated.

This study demonstrates quantitative trait loci (QTL) mapping using Windows QTL Cartographer and Composite Interval Mapping (CIM) in rye. The research successfully localized genetic factors influencing plant height in a recombinant inbred line population.

Keywords:
Biometric measurementComposite interval mapping (CIM)PhenotypingQuantitative trait loci (QTL)Recombinant inbred line (RIL)Windows QTL Cartographer

More Related Videos

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

731
A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
13:00

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

11.7K

Related Experiment Videos

Last Updated: Jun 28, 2025

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
11:37

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

Published on: June 22, 2017

16.3K
Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

731
A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
13:00

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

11.7K

Area of Science:

  • Genetics
  • Plant Breeding
  • Bioinformatics

Background:

  • Quantitative traits, influenced by multiple genes, are crucial for crop improvement.
  • Genetic mapping aids in localizing genes responsible for complex traits.
  • Quantitative Trait Loci (QTL) mapping is a key method for understanding the genetic architecture of polygenic traits.

Purpose of the Study:

  • To introduce and demonstrate the application of Windows QTL Cartographer with Composite Interval Mapping (CIM).
  • To illustrate the process of QTL analysis for a quantitative trait in a plant population.
  • To map the genetic factors controlling plant height in rye.

Main Methods:

  • Utilized Windows QTL Cartographer software for genetic analysis.
  • Employed Composite Interval Mapping (CIM), a method combining interval mapping and multiple regression.
  • Analyzed genotypic data from DNA markers and phenotypic data for plant height in a rye recombinant inbred line (RIL) population.

Main Results:

  • Successfully performed QTL analysis on plant height data collected over three seasons.
  • Demonstrated the genomic localization of factors contributing to quantitative trait variation.
  • Provided an exemplary workflow for QTL mapping in plant genetics.

Conclusions:

  • Windows QTL Cartographer with CIM is an effective tool for dissecting the genetic basis of quantitative traits.
  • QTL mapping is essential for understanding complex traits like plant height in crops.
  • The methodology presented can be applied to other quantitative traits and plant species.