Literature DB >> 10816982

Marker-assisted selection using ridge regression.

J C Whittaker1, R Thompson, M C Denham.   

Abstract

In cross between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this selection of markers by ridge regression can improve the mean response to selection and reduce the variability of selection response.

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Year:  2000        PMID: 10816982     DOI: 10.1017/s0016672399004462

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  111 in total

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Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

2.  Bias correction for estimated QTL effects using the penalized maximum likelihood method.

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Journal:  Heredity (Edinb)       Date:  2011-09-21       Impact factor: 3.821

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Journal:  Theor Appl Genet       Date:  2011-11-11       Impact factor: 5.699

4.  Extended Bayesian LASSO for multiple quantitative trait loci mapping and unobserved phenotype prediction.

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Journal:  Genetics       Date:  2010-08-30       Impact factor: 4.562

5.  Reanalyses of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time.

Authors:  I Mackay; A Horwell; J Garner; J White; J McKee; H Philpott
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Journal:  Genetics       Date:  2010-06-30       Impact factor: 4.562

7.  Genomic selection in a commercial winter wheat population.

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8.  Potential and limits of whole genome prediction of resistance to Fusarium head blight and Septoria tritici blotch in a vast Central European elite winter wheat population.

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Journal:  Theor Appl Genet       Date:  2015-09-08       Impact factor: 5.699

9.  Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study.

Authors:  Shengqiang Zhong; Jack C M Dekkers; Rohan L Fernando; Jean-Luc Jannink
Journal:  Genetics       Date:  2009-03-18       Impact factor: 4.562

10.  Rosetta Machine Learning Models Accurately Classify Positional Effects of Thioamides on Proteolysis.

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Journal:  J Phys Chem B       Date:  2020-09-01       Impact factor: 2.991

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