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- Title
Ridge Regression and Extensions for Genomewide Selection in Maize.
- Authors
Piepho, H. P.
- 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.
- Subjects
GENOMICS; CORN; RIDGE regression (Statistics); GENOTYPE-environment interaction; SUPPORT vector machines; GENETIC research; PLANT genetics
- Publication
Crop Science, 2009, Vol 49, Issue 4, p1165
- ISSN
0011-183X
- Publication type
Article
- DOI
10.2135/cropsci2008.10.0595