Forecasting the accuracy of genomic prediction with different selection targets in the training and prediction set as well as truncation selection
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Forecasting the accuracy of genomic prediction with different selection targets in the training and prediction set as well as truncation selection
Authors
Keywords
Prediction Accuracy, Predictive Ability, Genomic Selection, Double Haploid Line, Genomic Prediction
Journal
THEORETICAL AND APPLIED GENETICS
Volume 128, Issue 11, Pages 2189-2201
Publisher
Springer Nature
Online
2015-07-31
DOI
10.1007/s00122-015-2577-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving resistance to the European corn borer: a comprehensive study in elite maize using QTL mapping and genome-wide prediction
- (2015) Flavio Foiada et al. THEORETICAL AND APPLIED GENETICS
- Optimizing Resource Allocation for Multistage Selection in Plant Breeding with R Package
- (2014) Xuefei Mi et al. CROP SCIENCE
- Usefulness of Multiparental Populations of Maize ( Zea mays L.) for Genome-Based Prediction
- (2014) Christina Lehermeier et al. GENETICS
- Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years
- (2014) Theresa Albrecht et al. THEORETICAL AND APPLIED GENETICS
- Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction
- (2013) D. Habier et al. GENETICS
- Genomic Predictability of Interconnected Biparental Maize Populations
- (2013) C. Riedelsheimer et al. GENETICS
- Pitfalls of predicting complex traits from SNPs
- (2013) Naomi R. Wray et al. NATURE REVIEWS GENETICS
- Optimizing the allocation of resources for genomic selection in one breeding cycle
- (2013) Christian Riedelsheimer et al. THEORETICAL AND APPLIED GENETICS
- Genomic Prediction of Northern Corn Leaf Blight Resistance in Maize with Combined or Separated Training Sets for Heterotic Groups
- (2013) Frank Technow et al. G3-Genes Genomes Genetics
- Partitioning additive genetic variance into genomic and remaining polygenic components for complex traits in dairy cattle
- (2012) Just Jensen et al. BMC GENETICS
- Genomic and metabolic prediction of complex heterotic traits in hybrid maize
- (2012) Christian Riedelsheimer et al. NATURE GENETICS
- Genomewide predictions from maize single-cross data
- (2012) Jon M. Massman et al. THEORETICAL AND APPLIED GENETICS
- Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects
- (2012) Frank Technow et al. THEORETICAL AND APPLIED GENETICS
- Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
- (2012) Vanessa S. Windhausen et al. G3-Genes Genomes Genetics
- Genomic selection in plant breeding: from theory to practice
- (2011) J.-L. Jannink et al. Briefings in Functional Genomics
- A Large Maize (Zea mays L.) SNP Genotyping Array: Development and Germplasm Genotyping, and Genetic Mapping to Compare with the B73 Reference Genome
- (2011) Martin W. Ganal et al. PLoS One
- Breeding maize as biogas substrate in Central Europe: I. Quantitative-genetic parameters for testcross performance
- (2011) Christoph Grieder et al. THEORETICAL AND APPLIED GENETICS
- Breeding maize as biogas substrate in Central Europe: II. Quantitative-genetic parameters for inbred lines and correlations with testcross performance
- (2011) Christoph Grieder et al. THEORETICAL AND APPLIED GENETICS
- Genome-based prediction of testcross values in maize
- (2011) Theresa Albrecht et al. THEORETICAL AND APPLIED GENETICS
- Accuracy of genomic selection in European maize elite breeding populations
- (2011) Yusheng Zhao et al. THEORETICAL AND APPLIED GENETICS
- Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
- (2011) Jeffrey B. Endelman Plant Genome
- Population Structure and Cryptic Relatedness in Genetic Association Studies
- (2010) William Astle et al. STATISTICAL SCIENCE
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now