about
Entering the second century of maize quantitative geneticsHybrid breeding in wheat: technologies to improve hybrid wheat seed productionGenome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement.Genome-Based Identification of Heterotic Patterns in Rice.Training set optimization under population structure in genomic selection.Genomic selection in sugar beet breeding populationsGenome wide analysis of flowering time trait in multiple environments via high-throughput genotyping technique in Brassica napus LPrediction of hybrid performance in maize with a ridge regression model employed to DNA markers and mRNA transcription profiles.Inclusion of Dominance Effects in the Multivariate GBLUP ModelGenome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm.Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications.Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs.Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline.Identification of heterotic loci associated with grain yield and its components using two CSSL test populations in maize.Kernel-based whole-genome prediction of complex traits: a reviewOmics-based hybrid prediction in maize.Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium.Forecasting the accuracy of genomic prediction with different selection targets in the training and prediction set as well as truncation selection.Systematic bias of correlation coefficient may explain negative accuracy of genomic prediction.Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.Goals and hurdles for a successful implementation of genomic selection in breeding programme for selected annual and perennial crops.Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations.Efficiency of genomic prediction of non-assessed single crosses.Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize.Genome-wide regression models considering general and specific combining ability predict hybrid performance in oilseed rape with similar accuracy regardless of trait architecture.Genomic-based-breeding tools for tropical maize improvement.Prediction of maize single cross hybrids using the total effects of associated markers approach assessed by cross-validation and regional trials
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Genomewide predictions from maize single-cross data.
@ast
Genomewide predictions from maize single-cross data.
@en
Genomewide predictions from maize single-cross data.
@nl
type
label
Genomewide predictions from maize single-cross data.
@ast
Genomewide predictions from maize single-cross data.
@en
Genomewide predictions from maize single-cross data.
@nl
prefLabel
Genomewide predictions from maize single-cross data.
@ast
Genomewide predictions from maize single-cross data.
@en
Genomewide predictions from maize single-cross data.
@nl
P2093
P2860
P1476
Genomewide predictions from maize single-cross data.
@en
P2093
Andres Gordillo
Jon M Massman
Rex Bernardo
Robenzon E Lorenzana
P2860
P2888
P356
10.1007/S00122-012-1955-Y
P407
P577
2012-08-11T00:00:00Z