scholarly journals Whole-Genome Mapping of Agronomic and Metabolic Traits to Identify Novel Quantitative Trait Loci in Bread Wheat Grown in a Water-Limited Environment

2013 ◽  
Vol 162 (3) ◽  
pp. 1266-1281 ◽  
Author(s):  
C. B. Hill ◽  
J. D. Taylor ◽  
J. Edwards ◽  
D. Mather ◽  
A. Bacic ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Whole Genome ◽  
Metabolic Traits ◽  
Trait Loci ◽  
Whole Genome Mapping

Joint Linkage and Linkage Disequilibrium Mapping of Quantitative Trait Loci in Natural Populations

Genetics ◽  
2002 ◽  
Vol 160 (2) ◽  
pp. 779-792 ◽  
Author(s):  
Rongling Wu ◽  
Chang-Xing Ma ◽  
George Casella
Keyword(s):  
Linkage Disequilibrium ◽  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Linkage Disequilibrium Mapping ◽  
Allelic Association ◽  
Mapping Strategy ◽  
Trait Loci ◽  
New Strategy

AbstractLinkage analysis and allelic association (also referred to as linkage disequilibrium) studies are two major approaches for mapping genes that control simple or complex traits in plants, animals, and humans. But these two approaches have limited utility when used alone, because they use only part of the information that is available for a mapping population. More recently, a new mapping strategy has been designed to integrate the advantages of linkage analysis and linkage disequilibrium analysis for genome mapping in outcrossing populations. The new strategy makes use of a random sample from a panmictic population and the open-pollinated progeny of the sample. In this article, we extend the new strategy to map quantitative trait loci (QTL), using molecular markers within the EM-implemented maximum-likelihood framework. The most significant advantage of this extension is that both linkage and linkage disequilibrium between a marker and QTL can be estimated simultaneously, thus increasing the efficiency and effectiveness of genome mapping for recalcitrant outcrossing species. Simulation studies are performed to test the statistical properties of the MLEs of genetic and genomic parameters including QTL allele frequency, QTL effects, QTL position, and the linkage disequilibrium of the QTL and a marker. The potential utility of our mapping strategy is discussed.

Whole-genome resequencing identifies quantitative trait loci associated with mycorrhizal colonization of soybean

2019 ◽  
Vol 133 (2) ◽  
pp. 409-417 ◽  
Author(s):  
Michelle L. Pawlowski ◽  
Tri D. Vuong ◽  
Babu Valliyodan ◽  
Henry T. Nguyen ◽  
Glen L. Hartman
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Mycorrhizal Colonization ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Trait Loci ◽  
Whole Genome Resequencing

A whole-genome scan for quantitative trait loci affecting teat number in pigs.

2001 ◽  
Vol 79 (9) ◽  
pp. 2320 ◽  
Author(s):  
H Hirooka ◽  
D J de Koning ◽  
B Harlizius ◽  
J A van Arendonk ◽  
A P Rattink ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Genome Scan ◽  
Whole Genome ◽  
Trait Loci ◽  
Teat Number ◽  
Whole Genome Scan

Mapping of quantitative trait loci (QTL) associated with activity of disulfide reductase and lipoxygenase in grain of bread wheat Triticum aestivum L.

2008 ◽  
Vol 44 (5) ◽  
pp. 567-574 ◽  
Author(s):  
T. A. Pshenichnikova ◽  
S. V. Osipova ◽  
M. D. Permyakova ◽  
T. N. Mitrofanova ◽  
V. A. Trufanov ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Triticum Aestivum L ◽  
Disulfide Reductase ◽  
Trait Loci
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