Germplasm-regression-combined (GRC) marker-trait association identification in plant breeding: A challenge for plant biotechnological breeding under soil water deficit conditions

Cheng Jiang Ruan, Xue Xuan Xu, Hong Bo Shao, Cheruth Abdul Jaleel

Research output: Contribution to journalReview articlepeer-review

12 Citations (Scopus)

Abstract

In the past 20 years, the major effort in plant breeding has changed from quantitative to molecular genetics with emphasis on quantitative trait loci (QTL) identification and marker assisted selection (MAS). However, results have been modest. This has been due to several factors including absence of tight linkage QTL, non-availability of mapping populations, and substantial time needed to develop such populations. To overcome these limitations, and as an alternative to planned populations, molecular markertrait associations have been identified by the combination between germplasm and the regression technique. In the present preview, the authors (1) survey the successful applications of germplasmregressioncombined (GRC) molecular markertrait association identification in plants; (2) describe how to do the GRC analysis and its differences from mapping QTL based on a linkage map reconstructed from the planned populations; (3) consider the factors that affect the GRC association identification, including selections of optimal germplasm and molecular markers and testing of identification efficiency of markers associated with traits; and (4) finally discuss the future prospects of GRC markertrait association analysis used in plant MAS/QTL breeding programs, especially in long-juvenile woody plants when no other genetic information such as linkage maps and QTL are available.

Original languageEnglish
Pages (from-to)192-199
Number of pages8
JournalCritical Reviews in Biotechnology
Volume30
Issue number3
DOIs
Publication statusPublished - Sep 2010

Keywords

  • Abiotic stress
  • Association analysis
  • Biotechnological breeding
  • Germplasm-regression
  • MAS
  • Molecular marker
  • Quantitative trait
  • Sea buckthorn

ASJC Scopus subject areas

  • Biotechnology
  • Applied Microbiology and Biotechnology

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