The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing
Open accessAbstract
Genomic selection (GS) uses genomewide molecular markers to predict breeding values and make selections of individuals or breeding lines prior to phenotyping. Here we show that genotyping‐by‐sequencing (GBS) can be used for de novo genotyping of breeding panels and to develop accurate GS models, even for the large, complex, and polyploid wheat ( Triticum aestivum L.) genome. With GBS we discovered 41,371 single nucleotide polymorphisms (SNPs) in a set of 254 advanced breeding lines from CIMMYT's semiarid wheat breeding program. Four different methods were evaluated for imputing missing marker scores in this set of unmapped markers, including random forest regression and a newly developed multivariate‐normal expectation‐maximization algorithm, which gave more accurate imputation than heterozygous or mean imputation at the marker level, although no significant differences were observed in the accuracy of genomic‐estimated breeding values (GEBVs) among imputation methods. Genomic‐estimated breeding value prediction accuracies with GBS were 0.28 to 0.45 for grain yield, an improvement of 0.1 to 0.2 over an established marker platform for wheat. Genotyping‐by‐sequencing combines marker discovery and genotyping of large populations, making it an excellent marker platform for breeding applications even in the absence of a reference genome sequence or previous polymorphism discovery. In addition, the flexibility and low cost of GBS make this an ideal approach for genomics‐assisted breeding.
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Cited by
Genotyping‐by‐Sequencing for Plant Breeding and Genetics
Poland, J. A., & Rife, T. W. (2012) · The Plant Genome · doi:10.3835/plantgenome2012.05.0005 · Cited by 892
Self-citationAtta, K., Mondal, S., Gorai, S., Singh, A. P., Kumari, A., Ghosh, T., Roy, A., Hembram, S., Gaikwad, D. J., Mondal, S., et al. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1241736 · Cited by 523
Accelerating crop genetic gains with genomic selection
Voss-Fels, K. P., Cooper, M., & Hayes, B. J. (2019) · Theoretical and Applied Genetics · doi:10.1007/s00122-018-3270-8 · Cited by 381
Enhancing genetic gain in the era of molecular breeding
Xu, Y., Li, P., Zou, C., Lu, Y., Xie, C., Zhang, X., Prasanna, B. M., & Olsen, M. S. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx135 · Cited by 336
Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
Xu, Y., Liu, X., Fu, J., Wang, H., Wang, J., Huang, C., Prasanna, B. M., Olsen, M. S., Wang, G., & Zhang, A. (2020) · Plant Communications · doi:10.1016/j.xplc.2019.100005 · Cited by 281
Metadata
- Authors
- Poland, J., Endelman, J., Dawson, J., Rutkoski, J., Wu, S., Manes, Y., Dreisigacker, S., Crossa, J., Sánchez‐Villeda, H., Sorrells, M., & Jannink, J.
- Venue
- The Plant Genome
- Publisher
- Wiley
- Published
- 2012-11
- Volume
- 5
- Issue
- 3
- ISSN
- 1940-3372 (ISSN-L)
- OpenAlex
- W2112484080
- Cited by
- 698
- References
- 28
- FWCI
- 17.72
- Type
- journal article
- Language
- en
- Open access
- gold
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