Ridge Regression and Extensions for Genomewide Selection in Maize (Q57206215)

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article published in 2009

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English	Ridge Regression and Extensions for Genomewide Selection in Maize	article published in 2009

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instance of

scholarly article

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title

Ridge Regression and Extensions for Genomewide Selection in Maize (English)

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author name string

H. P. Piepho

series ordinal

1

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publication date

2009

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published in

Crop Science

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volume

49

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issue

4

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page(s)

1165

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cites work

Estimation of coefficient of coancestry using molecular markers in maize.

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Prospects for Genomewide Selection for Quantitative Traits in Maize

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Accuracy of genomic selection using different methods to define haplotypes

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Accuracy of breeding values when using and ignoring the polygenic effect in genomic breeding value estimation with a marker density of one SNP per cM

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Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits

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Genomic selection.

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The impact of genetic relationship information on genome-assisted breeding values

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Ridge Regression: Biased Estimation for Nonorthogonal Problems

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Support vector machine regression for the prediction of maize hybrid performance.

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Marker-based screening of maize inbred lines using support vector machine regression

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Analyzing Genotype-Environment Data by Mixed Models with Multiplicative Terms

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Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures

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Transformations in mixed models: Application to risk analysis for a multienvironment trial

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BLUP for phenotypic selection in plant breeding and variety testing

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Nearest neighbour adjustment and linear variance models in plant breeding trials

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Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses

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Comparison of mixed-model approaches for association mapping

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Marker-assisted selection using ridge regression

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Genomewide analysis of epistatic effects for quantitative traits in barley

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A unified mixed-model method for association mapping that accounts for multiple levels of relatedness

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31 March 2020

Identifiers

DOI

10.2135/CROPSCI2008.10.0595

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