Genetic Design and Statistical Power of Nested Association Mapping in Maize

By Jianming Yu, Jim Holland, Michael D. McMullen, Edward S. Buckler. Genetics, 2008

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View Paper: https://www.semanticscholar.org/paper/604a87fa3099476cd1584b143350ee6980dd5a15

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Citations in the corpus

Community Resources and Strategies for Association Mapping in Sorghum (2008, neutral): “Furthermore, 20 of the diverse lines characterized in this study are now being used to develop recombinant inbred populations in our labs for use in nested association mapping strategies (Yu et al., 2008).”
Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population (2011, background): “The high allele diversity and large sample size provide power for detection and resolution of QTL”
Improvement of drought resistance in rice. (2009, background): “Such a design for rice would be the equivalent of the nested association mapping panels used in maize (Yu et al., 2008).”
Marker-Assisted Plant Breeding: Principles and Practices (2015, methodology): “For example, a population of 5,000 RILs was generated using 26 founder parents and one nested parent B73 in maize (Sect. 8.5.2; Yu et al. 2008).”
Genetic mapping of quantitative trait loci in crops (2017, background): “[16] for dissecting the genetic architecture of maize flowering time.”
Molecular marker-assisted breeding options for maize improvement in Asia (2010, methodology): “Thus, global diversity has been captured in the NAM RIL germplasm resource, which will provide the maize research community with the opportunity to map genes involved for an array of traits of agronomic or scientific interest (Yu et al. 2008).”
The Impact of Genetic Changes during Crop Domestication (2018, background): “Notable examples are provided in rice [146], wheat [147], maize [148], tomato [149], and narrow-leafed lupin [5].”
Status and Prospects of Association Mapping in Plants (2008, background): “Nested association mapping (NAM), as currently implemented in maize, could be an even more powerful strategy for dissecting the genetic basis of quantitative traits in species with low LD (Yu et al., 2008).”
High-throughput SNP genotyping with the GoldenGate assay in maize (2010, methodology): “The SNPs used in this study were selected based on the genetic polymorphisms detected in 27 diverse inbred maize lines that were used as parental genotypes of the NAM population (Yu et al. 2008; McMullen et al. 2009).”
Rapeseed (Brassica napus): Processing, Utilization, and Genetic Improvement (2021, background): “…the advantages of association mapping and linkage analysis, i.e., it offers the feasibility of ancient and recent recombination, the possibility of many alleles analysis, and the accessibility of high mapping resolution and statistical power, using low to moderate genetic marker density [373,374].”
Consequences and Mitigation Strategies of Abiotic Stresses in Wheat (Triticum aestivum L.) under the Changing Climate (2021, background): “The MAGIC populations are already exploited in wheat to develop a linkage map [188].”
Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design (2009, background): “In the maize Nested Association Mapping population (NAM), 25 diverse maize lines were crossed to the reference maize inbred B73 (Yu et al., 2008).”
Diversity and heritability of the maize rhizosphere microbiome under field conditions (2013, methodology): “Twenty-seven diverse maize inbreds, all founder genotypes of the Nested Association Mapping panel, were selected to maximize genetic dissimilarity using previously established genotypic data (1).”
Past and Future Use of Wild Relatives in Crop Breeding (2017, methodology): “Additional mapping methods are currently being employed to increase mapping accuracy: for example, multiparent advance generation intercross (MAGIC) (Cavanagh et al., 2008) populations and nested association mapping (NAM) populations (Yu et al., 2008; Nice et al., 2016).”