Genetic association mapping and genome organization of maize.

By Jianming Yu, Edward S. Buckler. Current Opinion in Biotechnology, 2006

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Citations in the corpus

Conserving and Enhancing Maize Genetic Resources as Global Public Goods- A Perspective from CIMMYT (2010, background): “Population structure and linkage disequilibrium analysis has also facilitated rapid advances in association mapping in maize (Yu and Buckler, 2006), which has provided a new method for mapping important breeding traits: including maize kernel composition and starch production (Wilson et al.”
Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize (2011, background): “…and selection by breeders, complex patterns of genetic relatedness are common in maize association panels, generating numerous spurious associations (Yu and Buckler 2006; Zhu et al. 2008; Myles et al. 2009), which makes correcting spurious associations a major challenge for association mapping.”
Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.) (2010, background): “In our crop plants, the domestication and breeding process may have caused such LD. Methods to deal with population structure range from the quantitative transmission disequilibrium test (QTDT) through genomic control (GC) to structured association (SA) (Yu and Buckler 2006).”
Association mapping of yield and its components in rice cultivars (2007, background): “Association mapping could complement and enhance previous QTL information for marker-assisted selection in wheat (Breseghello and Sorrells, 2006), barley (Kraakman et al. 2006), and maize ( Yu and Buckler 2006 ).”
Microsatellite Markers in Plants and Insects. Part I: Applications of Biotechnology (2009, background): “…generations of recombination, in comparison with a bi-parental cross, association mapping has four advantages: higher mapping resolution; greater number of alleles, a broader reference population, and less research time in establishing an association (Hastbacka et al. 1992; Yu and Buckler 2006).”
The genetic dissection of quantitative traits in crops (2010, methodology): “For association mapping, the populations can be classified into one of the following five groups (Yu and Buckler, 2006; Yu et al. 2006): (i) ideal sample with subtle population structure and familial relatedness, (ii) multi-family sample, (iii) sample with population structure, (iv) sample with…”
Association Mapping for Enhancing Maize (Zea mays L.) Genetic Improvement (2011, background): “Unlike linkage mapping, association mapping can explore all the recombination events and mutations in a given population and with a higher resolution (Yu and Buckler, 2006).”
Status and Prospects of Association Mapping in Plants (2008, methodology): “Given the geographical origins, local adaptation, and breeding history of assembled genotypes in an association mapping panel, these non-independent samples usually contain both population structure and familial relatedness (Yu and Buckler, 2006).”
Linkage disequilibrium, genetic association mapping and gene localization in crop plants (2008, methodology): “The methodology for associating markers and traits in a collection of cultivars is still under development (Jannink and Walsh, 2002; Yu and Buckler, 2006; Mackay and Powell, 2007).”
Molecular diversity and genome-wide linkage disequilibrium patterns in a worldwide collection of Oryza sativa and its wild relatives (2008, background): “LD mapping could complement and enhance previous QTL information for marker-assisted selection in wheat (Breseghello and Sorrells 2006), barley (Kraakman et al. 2006) and maize ( Yu and Buckler 2006 ).”