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Association Mapping in Plants.

Pawan L Kulwal1, Ravinder Singh2

  • 1State Level Biotechnology Centre, Mahatma Phule Agricultural University, Rahuri, Maharashtra, India. pawankulwal@gmail.com.

Methods in Molecular Biology (Clifton, N.J.)
|December 2, 2020
PubMed
Summary
This summary is machine-generated.

Quantitative trait loci mapping in crops can use interval mapping or association mapping. Association mapping is gaining popularity for its use of natural diversity to find functional variants in plants.

Keywords:
Association mappingFalse discovery rateGWASLinkage disequilibriumMulti-parental populationsPopulation structure

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Area of Science:

  • Plant genetics
  • Genomics
  • Agricultural science

Background:

  • Quantitative trait loci (QTL) mapping is crucial for crop improvement.
  • Two primary methods exist: interval mapping (IM) and association mapping (AM).
  • AM leverages natural genetic diversity for broader germplasm analysis.

Purpose of the Study:

  • To provide an overview of association mapping in plants.
  • To detail the steps involved in conducting AM studies.
  • To highlight the advantages of AM in crop genetics.

Main Methods:

  • Overview of the association mapping process in plants.
  • Discussion of steps including population structure, linkage disequilibrium, and statistical analysis.
  • Focus on utilizing natural variation for variant discovery.

Main Results:

  • Association mapping enables the identification of functional variants within broader germplasm.
  • The approach utilizes existing natural diversity in plant populations.
  • Detailed procedural steps for implementing AM are outlined.

Conclusions:

  • Association mapping is a powerful and increasingly popular tool in plant genetics.
  • It offers advantages over traditional methods by exploring natural variation.
  • This chapter serves as a guide to understanding and applying AM in crop research.