Germplasm-regression-combined (GRC) marker-trait association identification in plant breeding: a challenge for plant biotechnological breeding under soil water deficit conditions
Ruan, Cheng-Jiang4,7; Xu, Xue-Xuan5,6; Shao, Hong-Bo1,4,5,6; Jaleel, Cheruth Abdul2,3
2010-09-01
Source PublicationCRITICAL REVIEWS IN BIOTECHNOLOGY
Volume30Issue:3Pages:192-199
AbstractIn 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 marker-trait 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 germplasm-regression-combined (GRC) molecular marker-trait 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 marker- trait 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.
KeywordAssociation Analysis Mas Molecular Marker Quantitative Trait Germplasm-regression Sea Buckthorn Biotechnological Breeding Abiotic Stress
Indexed BySCI
WOS KeywordASSISTED SELECTION ; MOLECULAR MARKERS ; ISSR MARKERS ; RESISTANCE GENES ; AFLP MARKERS ; SPRING WHEAT ; BOMBYX-MORI ; QUANTITATIVE VARIATION ; RICE ; QTL
SubtypeReview
Language英语
WOS Research AreaBiotechnology & Applied Microbiology
WOS IDWOS:000282239700003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/9237
Collection中科院海岸带环境过程与生态修复重点实验室_滨海湿地实验室
Affiliation1.Qingdao Univ Sci & Technol QUST, Inst Life Sci, Qingdao 266042, Peoples R China
2.Annamalai Univ, Dept Bot, Stress Physiol Lab, Annamalainagar 608002, Tamil Nadu, India
3.UAE Univ, Coll Food & Agr, Al Ain, U Arab Emirates
4.Chinese Acad Sci CAS, Yantai Inst Costal Zone Res, Yantai, Peoples R China
5.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Peoples R China
6.Minist Water Resources CAS&MWR, Yangling, Peoples R China
7.Dalian Nationalities Univ, Key Lab Biotechnol & Bioresources Utilizat, Dalian, Liaoning, Peoples R China
Recommended Citation
GB/T 7714
Ruan, Cheng-Jiang,Xu, Xue-Xuan,Shao, Hong-Bo,et al. Germplasm-regression-combined (GRC) marker-trait association identification in plant breeding: a challenge for plant biotechnological breeding under soil water deficit conditions[J]. CRITICAL REVIEWS IN BIOTECHNOLOGY,2010,30(3):192-199.
APA Ruan, Cheng-Jiang,Xu, Xue-Xuan,Shao, Hong-Bo,&Jaleel, Cheruth Abdul.(2010).Germplasm-regression-combined (GRC) marker-trait association identification in plant breeding: a challenge for plant biotechnological breeding under soil water deficit conditions.CRITICAL REVIEWS IN BIOTECHNOLOGY,30(3),192-199.
MLA Ruan, Cheng-Jiang,et al."Germplasm-regression-combined (GRC) marker-trait association identification in plant breeding: a challenge for plant biotechnological breeding under soil water deficit conditions".CRITICAL REVIEWS IN BIOTECHNOLOGY 30.3(2010):192-199.
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