Equivalence of three score tests for association mapping of quantitative trait loci under selective genotyping

2010 ◽  
Vol 34 (5) ◽  
pp. 522-527 ◽  
Author(s):  
Yongqiang Tang
Keyword(s):  
Quantitative Trait Loci ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Selective Genotyping ◽  
Score Tests ◽  
Trait Loci ◽  
Tests For Association

scholarly journals Combined Linkage and Association Mapping of Quantitative Trait Loci by Multiple Markers

Genetics ◽  
2005 ◽  
Vol 170 (2) ◽  
pp. 881-898 ◽  
Author(s):  
Jeesun Jung ◽  
Ruzong Fan ◽  
Lei Jin
Keyword(s):  
Quantitative Trait Loci ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Multiple Markers ◽  
Trait Loci

scholarly journals Rapid and robust association mapping of expression quantitative trait loci

2007 ◽  
Vol 1 (S1) ◽  
Author(s):  
Alex C Lam ◽  
Michael Schouten ◽  
Yurii S Aulchenko ◽  
Chris S Haley ◽  
Dirk-Jan de Koning
Keyword(s):  
Quantitative Trait Loci ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Expression Quantitative Trait Loci ◽  
Trait Loci

scholarly journals Association Mapping of Malting Quality Quantitative Trait Loci in Winter Barley: Positive Signals from Small Germplasm Arrays

2011 ◽  
Vol 4 (3) ◽  
pp. 256-272 ◽  
Author(s):  
Lucía Gutiérrez ◽  
Alfonso Cuesta-Marcos ◽  
Ariel J. Castro ◽  
Jarislav von Zitzewitz ◽  
Mark Schmitt ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Winter Barley ◽  
Malting Quality ◽  
Trait Loci

scholarly journals Characterization of natural provenances of Acacia mangium Willd. and Acacia auriculiformis A. Cunn. ex Benth. in Malaysia based on phenotypic traits

2017 ◽  
Vol 63 (No. 12) ◽  
pp. 562-576
Author(s):  
Asif Muhammad Javed ◽  
Dorairaj Deivaseeno ◽  
Wickneswari Ratnam
Keyword(s):  
Quantitative Trait Loci ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Acacia Mangium ◽  
Acacia Auriculiformis ◽  
Phenotypic Traits ◽  
Homogeneous Population ◽  
Stem Straightness ◽  
Trait Loci ◽  
Planting Materials

Acacia mangium Willdenow and Acacia auriculiformis A. Cunningham ex Bentham and their hybrid have become important planting species in Malaysia. Due to their high demand and consumption, development of high quality planting materials is desired. Conventional breeding of Acacia Miller is slow but the utilization of marker-assisted selection breeding can expedite the breeding process. Markers associated with quantitative trait loci (QTLs) required pedigreed populations whereas association mapping can be used directly on diverse germplasm. This study was conducted to screen provenances of A. mangium and A. auriculiformis of different geographical origins for their performance under the Malaysian environment. A. mangium exhibited superior traits compared to A. auriculiformis. More trait variation was observed within and between provenances of A. auriculiformis. Provenances from Queensland (QLD) were superior to those from Papua New Guinea (PNG) and Northern Territory. The best performing provenance with all three superior traits was from Claude River QTL of A. mangium and the worst was Bensbach Western Province, PNG belonging to A. auriculiformis. For individual traits like DBH, Morehead, PNG was superior. For plant height, Morehead, PNG was the superior provenance for A. mangium and Morehead River, QLD was from A. auriculiformis. For stem straightness the A. auriculiformis provenance Jardines Garden, QTL was superior to West of Morehead (PNG) for A. mangium. Multivariate analysis grouped provenances together based on similar traits and genetic similarity. These provenances can be used for seed families which can be treated as a homogeneous population for association mapping or for the development of segregating hybrid populations for Acacia breeding. For the purpose of utilization, provenances of A. mangium can be used for sawn timber. For fuelwood and charcoal industries, A. auriculiformis provenances should be preferred by selecting multi-stemmed trees. The most variable provenances with superior phenotypic traits can be integrated with the genotypic data e.g. single nucleotide polymorphism markers for association mapping to identify quantitative trait loci for marker-assisted breeding.

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