ArticleG3 (Bethesda, Md.)2017
Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction.
Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species.Frontiers in genetics · 2025Article
- GA-GBLUP: leveraging the genetic algorithm to improve the predictability of genomic selection.Briefings in bioinformatics · 2024Article
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- Article
- Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-wide association study and genomic prediction for yield and grain quality traits of hybrid rice.Molecular breeding : new strategies in plant improvement · 2022Article
- Genome-wide association mapping and genomic prediction of yield-related traits and starch pasting properties in cassava.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genomic Prediction: Progress and Perspectives for Rice Improvement.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Fabrication of Weak C-Axis Preferred AlN Thin Film for Temperature Measurement.Sensors (Basel, Switzerland) · 2021Article
- Intelligent Trajectory Tracking Behavior of a Multi-Joint Robotic Arm via Genetic-Swarm Optimization for the Inverse Kinematic Solution.Sensors (Basel, Switzerland) · 2021Article
- Incorporation of parental phenotypic data into multi-omic models improves prediction of yield-related traits in hybrid rice.Plant biotechnology journal · 2021Article
- High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers.Frontiers in genetics · 2020Article
- Genomic selection using principal component regression.Heredity · 2018Article
- Genomic selection of agronomic traits in hybrid rice using an NCII population.Rice (New York, N.Y.) · 2018Article
- 2D association and integrative omics analysis in rice provides systems biology view in trait analysis.Communications biology · 2018Article
- Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction.Frontiers in genetics · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic. Accurate prediction of these traits can help medical professionals diagnose acute diseases and breeders to increase food products, and therefore significantly contribute to human health and global food security. The best linear unbiased prediction (BLUP) is an important tool to analyze high-throughput genomic data for prediction. However, to judge the efficacy of the BLUP model with a particular set of predictors for a given trait, one has to provide an unbiased mechanism to evaluate the predictability. Cross-validation (CV) is an essential tool to achieve this goal, where a sample is partitioned into
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.