Structure of linkage disequilibrium and phenotypic associations in the maize genome
DL Remington, JM Thornsberry… - Proceedings of the …, 2001 - National Acad Sciences
Association studies based on linkage disequilibrium (LD) can provide high resolution for
identifying genes that may contribute to phenotypic variation. We report patterns of local and …
identifying genes that may contribute to phenotypic variation. We report patterns of local and …
Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction
The efficiency of marker-assisted prediction of phenotypes has been studied intensively for
different types of plant breeding populations. However, one remaining question is how to …
different types of plant breeding populations. However, one remaining question is how to …
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments
Genomic prediction is expected to considerably increase genetic gains by increasing
selection intensity and accelerating the breeding cycle. In this study, marker effects …
selection intensity and accelerating the breeding cycle. In this study, marker effects …
Epistasis and covariance: how gene interaction translates into genomic relationship
Key message Models based on additive marker effects and on epistatic interactions can be
translated into genomic relationship models. This equivalence allows to perform predictions …
translated into genomic relationship models. This equivalence allows to perform predictions …
Prediction of genetic variance in biparental maize populations: Genomewide marker effects versus mean genetic variance in prior populations
Good methods are lacking for predicting the genetic variance (VG) in biparental populations.
Our objective was to determine whether genomewide marker effects and related populations …
Our objective was to determine whether genomewide marker effects and related populations …
[HTML][HTML] Genomic prediction models for traits differing in heritability for soybean, rice, and maize
Background Genomic selection is a powerful tool in plant breeding. By building a prediction
model using a training set with markers and phenotypes, genomic estimated breeding …
model using a training set with markers and phenotypes, genomic estimated breeding …
Accounting for group-specific allele effects and admixture in genomic predictions: theory and experimental evaluation in maize
S Rio, L Moreau, A Charcosset, T Mary-Huard - Genetics, 2020 - academic.oup.com
Populations structured into genetic groups may display group-specific linkage
disequilibrium, mutations, and/or interactions between quantitative trait loci and the genetic …
disequilibrium, mutations, and/or interactions between quantitative trait loci and the genetic …
Cross-validation without doing cross-validation in genome-enabled prediction
Cross-validation of methods is an essential component of genome-enabled prediction of
complex traits. We develop formulae for computing the predictions that would be obtained …
complex traits. We develop formulae for computing the predictions that would be obtained …
Complementation contributes to transcriptome complexity in maize (Zea mays L.) hybrids relative to their inbred parents
Typically, F1-hybrids are more vigorous than their homozygous, genetically distinct parents,
a phenomenon known as heterosis. In the present study, the transcriptomes of the reciprocal …
a phenomenon known as heterosis. In the present study, the transcriptomes of the reciprocal …
Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …
such as yield, architecture, and disease resistance can provide information on the manner in …