Cargando…

Improving Prediction Accuracy Using Multi-allelic Haplotype Prediction and Training Population Optimization in Wheat

The use of haplotypes may improve the accuracy of genomic prediction over single SNPs because haplotypes can better capture linkage disequilibrium and genomic similarity in different lines and may capture local high-order allelic interactions. Additionally, prediction accuracy could be improved by p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sallam, Ahmad H., Conley, Emily, Prakapenka, Dzianis, Da, Yang, Anderson, James A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Genetics Society of America 2020
Materias:	Genomic Prediction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341132/ https://www.ncbi.nlm.nih.gov/pubmed/32371453 http://dx.doi.org/10.1534/g3.120.401165

Ejemplares similares

Genotype Imputation in Winter Wheat Using First-Generation Haplotype Map SNPs Improves Genome-Wide Association Mapping and Genomic Prediction of Traits
por: Nyine, Moses, et al.
Publicado: (2018)

Genomic Prediction of Autotetraploids; Influence of Relationship Matrices, Allele Dosage, and Continuous Genotyping Calls in Phenotype Prediction
por: de Bem Oliveira, Ivone, et al.
Publicado: (2019)

Prediction of Subgenome Additive and Interaction Effects in Allohexaploid Wheat
por: Santantonio, Nicholas, et al.
Publicado: (2018)

Training Population Optimization for Prediction of Cassava Brown Streak Disease Resistance in West African Clones
por: Ozimati, Alfred, et al.
Publicado: (2018)

Multimodal deep learning methods enhance genomic prediction of wheat breeding
por: Montesinos-López, Abelardo, et al.
Publicado: (2023)

Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat
por: Krause, Margaret R., et al.
Publicado: (2019)

Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments
por: Howard, Réka, et al.
Publicado: (2019)

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits
por: Montesinos-López, Osval A., et al.
Publicado: (2018)

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials
por: Jarquin, Diego, et al.
Publicado: (2020)

Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
por: Neyhart, Jeffrey L., et al.
Publicado: (2019)

A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and Poplar
por: Rincent, Renaud, et al.
Publicado: (2018)

Training Population Optimization for Genomic Selection in Miscanthus
por: Olatoye, Marcus O., et al.
Publicado: (2020)

Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods
por: Runcie, Daniel, et al.
Publicado: (2019)

Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (Hordeum vulgare L.)
por: Bhatta, Madhav, et al.
Publicado: (2020)

Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
por: Cuevas, Jaime, et al.
Publicado: (2019)

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture
por: Montesinos-López, Abelardo, et al.
Publicado: (2018)

Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance
por: Technow, Frank
Publicado: (2019)

(Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers
por: Alves, Anderson Antonio Carvalho, et al.
Publicado: (2023)

Comparison of the Accuracy of Epistasis and Haplotype Models for Genomic Prediction of Seven Human Phenotypes
por: Liang, Zuoxiang, et al.
Publicado: (2023)

Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome
por: Karaman, Emre, et al.
Publicado: (2018)

Genomic Selection with Allele Dosage in Panicum maximum Jacq.
por: de C. Lara, Letícia A., et al.
Publicado: (2019)

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits
por: Azodi, Christina B., et al.
Publicado: (2019)

Influence of Genetic Interactions on Polygenic Prediction
por: Dai, Zhijun, et al.
Publicado: (2019)

The long-term effects of genomic selection: 2. Changes in allele frequencies of causal loci and new mutations
por: Wientjes, Yvonne C J, et al.
Publicado: (2023)

Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model
por: Baker, Lauren A., et al.
Publicado: (2020)

Results from rapid-cycle recurrent genomic selection in spring bread wheat
por: Dreisigacker, Susanne, et al.
Publicado: (2023)

Genomic Prediction and Selection for Fruit Traits in Winter Squash
por: Hernandez, Christopher O., et al.
Publicado: (2020)

Genomic Prediction Including SNP-Specific Variance Predictors
por: Mouresan, Elena Flavia, et al.
Publicado: (2019)

A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

Genomic Prediction for Winter Survival of Lowland Switchgrass in the Northern USA
por: Poudel, Hari P., et al.
Publicado: (2019)

Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models
por: Schrauf, Matías F., et al.
Publicado: (2020)

Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits
por: Morgante, Fabio, et al.
Publicado: (2020)

Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits
por: Montesinos-López, Abelardo, et al.
Publicado: (2020)

Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum
por: dos Santos, Jhonathan P. R., et al.
Publicado: (2019)

Genomic prediction of switchgrass winter survivorship across diverse lowland populations
por: Tilhou, Neal W, et al.
Publicado: (2023)

Genomic Prediction of Additive and Non-additive Effects Using Genetic Markers and Pedigrees
por: de Almeida Filho, Janeo Eustáquio, et al.
Publicado: (2019)

A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2020)

Extensions of BLUP Models for Genomic Prediction in Heterogeneous Populations: Application in a Diverse Switchgrass Sample
por: Ramstein, Guillaume P., et al.
Publicado: (2019)

Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
por: Mageto, Edna K., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_6saj59280v0fug5h9rt98gqos7