Cargando…

Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines

Recent advancements in phenomics coupled with increased output from sequencing technologies can create the platform needed to rapidly increase abiotic stress tolerance of crops, which increasingly face productivity challenges due to climate change. In particular, high-throughput phenotyping (HTP) en...

Descripción completa

Detalles Bibliográficos
Autores principales:	Momen, Mehdi, Campbell, Malachy T., Walia, Harkamal, Morota, Gota
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Genetics Society of America 2019
Materias:	Genomic Prediction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778811/ https://www.ncbi.nlm.nih.gov/pubmed/31427454 http://dx.doi.org/10.1534/g3.119.400346

Ejemplares similares

Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping
por: Baba, Toshimi, et al.
Publicado: (2020)

Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies
por: Momen, Mehdi, et al.
Publicado: (2019)

Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping
por: Campbell, Malachy, et al.
Publicado: (2018)

A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies
por: Wang, Zigui, et al.
Publicado: (2020)

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)

ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies
por: Hussain, Waseem, et al.
Publicado: (2018)

Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice
por: Campbell, Malachy T, et al.
Publicado: (2020)

Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes
por: Yu, Haipeng, 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)

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)

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)

Tables of normalized associated Legendre polynomials
por: Belousov, S L
Publicado: (1962)

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

(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)

Assessment of the Potential for Genomic Selection To Improve Husk Traits in Maize
por: Cui, Zhenhai, et al.
Publicado: (2020)

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

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)

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

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

Dissecting the Genetic Architecture of Biofuel-Related Traits in a Sorghum Breeding Population
por: Ishimori, Motoyuki, et al.
Publicado: (2020)

High-Throughput Genome-Wide Genotyping To Optimize the Use of Natural Genetic Resources in the Grassland Species Perennial Ryegrass (Lolium perenne L.)
por: Keep, Thomas, et al.
Publicado: (2020)

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

Genomic Selection for Yield and Seed Composition Traits Within an Applied Soybean Breeding Program
por: Stewart-Brown, Benjamin B., et al.
Publicado: (2019)

The Role of Standing Variation in the Evolution of Weedines Traits in South Asian Weedy Rice (Oryza spp.)
por: Huang, Zhongyun, et al.
Publicado: (2018)

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

New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression
por: Allier, Antoine, et al.
Publicado: (2019)

Genome-Wide Association Study of Yield Component Traits in Intermediate Wheatgrass and Implications in Genomic Selection and Breeding
por: Bajgain, Prabin, 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)

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 Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Arabidopsis Seeds
por: Turner-Hissong, Sarah D., et al.
Publicado: (2020)

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)

High-Order Spatial Simulation Using Legendre-Like Orthogonal Splines
por: Minniakhmetov, Ilnur, et al.
Publicado: (2018)

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

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

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

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)

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

Cannot write session to /tmp/vufind_sessions/sess_hjnlcgcqp1tjrnicd8shbnla6g