The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Ridge Regression and Extensions for Genomewide Selection in Maize
Abstract
This paper reviews properties of ridge regression for genomewide (genomic) selection and establishes close relationships with other methods to model genetic correlation among relatives, including use of a kinship matrix and the simple matching coefficient as computed from marker data. A number of alternative models are then proposed exploiting ties between genetic correlation based on marker data and geostatistical concepts. A simple method for automatic marker selection is proposed. The methods are exemplified using a series of experiments with test‐cross hybrids of maize (Zea mays L.) conducted in five environments. Results underline the need to appropriately model genotype–environment interaction and to employ an independent estimate of error. It is also shown that accounting for genetic effects not captured by markers may be important.
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Cites
Searle, S. R., Casella, G., & McCulloch, C. E. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316856 · Cited by 1,926
Gianola, D., & van Kaam, J. B. C. H. M. (2008) · Genetics · doi:10.1534/genetics.107.084285 · Cited by 457
Prediction of Maize Single‐Cross Performance Using RFLPs and Information from Related Hybrids
Bernardo, R. (1994) · Crop Science · doi:10.2135/cropsci1994.0011183x003400010003x · Cited by 379
Analyzing genotype-environment data by mixed models with multiplicative terms
Piepho, H.-P. (1997) · Biometrics · doi:10.2307/2533976 · Cited by 234
Self-citationPiepho, H.-P. (1998) · Theoretical and Applied Genetics · doi:10.1007/s001220050885 · Cited by 198
Self-citation
Cited by
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
Endelman, J. B. (2011) · The Plant Genome · doi:10.3835/plantgenome2011.08.0024 · Cited by 2,094
Burgueño, J., de los Campos, G., Weigel, K., & Crossa, J. (2012) · Crop Science · doi:10.2135/cropsci2011.06.0299 · Cited by 601
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
Ogutu, J. O., Schulz-Streeck, T., & Piepho, H.-P. (2012) · BMC Proceedings · doi:10.1186/1753-6561-6-s2-s10 · Cited by 440
Self-citationBreeding drought-tolerant maize hybrids for the US corn-belt: discovery to product
Cooper, M., Gho, C., Leafgren, R., Tang, T., & Messina, C. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru064 · Cited by 417
Metadata
- Authors
- Piepho, H. P.
- Venue
- Crop Science
- Publisher
- Wiley
- Published
- 2009-07
- Volume
- 49
- Issue
- 4
- Pages
- 1165-1176
- ISSN
- 0011-183X (ISSN-L)
- 1435-0653
- OpenAlex
- W2099688984
- Cited by
- 271
- References
- 5
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
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