The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Maize association population: a high‐resolution platform for quantitative trait locus dissection
Abstract
Summary: Crop improvement and the dissection of complex genetic traits require germplasm diversity. Although this necessary phenotypic variability exists in diverse maize, most research is conducted using a small subset of inbred lines. An association population of 302 lines is now available – a valuable research tool that captures a large proportion of the alleles in cultivated maize. Provided that appropriate statistical models correcting for population structure are included, this tool can be used in association analyses to provide high‐resolution evaluation of multiple alleles. This study describes the population structure of the 302 lines, and investigates the relationship between population structure and various measures of phenotypic and breeding value. On average, our estimates of population structure account for 9.3% of phenotypic variation, roughly equivalent to a major quantitative trait locus (QTL), with a high of 35%. Inclusion of population structure in association models is critical to meaningful analyses. This new association population has the potential to identify QTL with small effects, which will aid in dissecting complex traits and in planning future projects to exploit the rich diversity present in maize.
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Cited by
Association mapping: critical considerations shift from genotyping to experimental design
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Self-citationNatural Genetic Variation in Lycopene Epsilon Cyclase Tapped for Maize Biofortification
Harjes, C. E., Rocheford, T. R., Bai, L., Brutnell, T. P., Kandianis, C. B., Sowinski, S. G., Stapleton, A. E., Vallabhaneni, R., Williams, M., Wurtzel, E. T., et al. (2008) · Science · doi:10.1126/science.1150255 · Cited by 788
Self-citationDe novo assembly, annotation, and comparative analysis of 26 diverse maize genomes
Hufford, M. B., Seetharam, A. S., Woodhouse, M. R., Chougule, K. M., Ou, S., Liu, J., Ricci, W. A., Guo, T., Olson, A., Qiu, Y., et al. (2021) · Science · doi:10.1126/science.abg5289 · Cited by 747
Self-citationNext-generation genetics in plants
Nordborg, M., & Weigel, D. (2008) · Nature · doi:10.1038/nature07629 · Cited by 451
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Self-citation
Metadata
- Authors
- Flint‐Garcia, S. A., Thuillet, A., Yu, J., Pressoir, G., Romero, S. M., Mitchell, S. E., Doebley, J., Kresovich, S., Goodman, M. M., & Buckler, E. S.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 2005-11-24
- Volume
- 44
- Issue
- 6
- Pages
- 1054-1064
- ISSN
- 0960-7412 (ISSN-L)
- 1365-313X
- OpenAlex
- W2142486812
- Cited by
- 932
- References
- 3
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Flint‐Garcia, S. A., Thuillet, A., Yu, J., Pressoir, G., Romero, S. M., Mitchell, S. E., Doebley, J., Kresovich, S., Goodman, M. M., & Buckler, E. S. (2005). Maize association population: a high‐resolution platform for quantitative trait locus dissection. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2005.02591.x
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