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Marker assisted selection using best linear unbiased prediction
Open accessAbstract
Best linear unbiased prediction (BLUP) is applied to a mixed linear model with additive effects for alleles at a market quantitative trait locus (MQTL) and additive effects for alleles at the remaining quantitative trait loci (QTL). A recursive algorithm is developed to obtain the covariance matrix of the effects of MQTL alleles. A simple method is presented to obtain its inverse. This approach allows simultaneous evaluation of fixed effects, effects of MQTL alleles, and effects of alleles at the remaining QTLs, using known relationships and phenotypic and marker information. The approach is sufficiently general to accommodate individuals with partial or no marker information. Extension of the approach to BLUP with multiple markers is discussed.
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Cited by
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
The use of molecular genetics in the improvement of agricultural populations
Dekkers, J. C. M., & Hospital, F. (2002) · Nature Reviews Genetics · doi:10.1038/nrg701 · Cited by 710
Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures
Gianola, D., Fernando, R. L., & Stella, A. (2006) · Genetics · doi:10.1534/genetics.105.049510 · Cited by 450
Self-citationGianola, D., & van Kaam, J. B. C. H. M. (2008) · Genetics · doi:10.1534/genetics.107.084285 · Cited by 457
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
Cooper, M., Messina, C. D., Podlich, D., Totir, L. R., Baumgarten, A., Hausmann, N. J., Wright, D., & Graham, G. (2014) · Crop & Pasture Science · doi:10.1071/cp14007 · Cited by 411
Metadata
- Authors
- Fernando, R. L., & Grossman, M.
- Venue
- Genetics Selection Evolution
- Published
- 1989-12-15
- Volume
- 21
- Issue
- 4
- ISSN
- 0999-193X (ISSN-L)
- 1297-9686
- OpenAlex
- W1995542001
- Cited by
- 489
- References
- 0
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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