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ShinyGPAS: interactive genomic prediction accuracy simulator based on deterministic formulas

Genetics selection evolution (Paris), 2017-12, Vol.49 (1), p.91-91, Article 91

Morota, Gota

2017

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Kernel-based whole-genome prediction of complex traits: a review

Frontiers in genetics, 2014, Vol.5, p.363-363

2014

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GCA: an R package for genetic connectedness analysis using pedigree and genomic data

BMC genomics, 2021-02, Vol.22 (1), p.119-119, Article 119

2021

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Predicting bull fertility using genomic data and biological information

Journal of dairy science, 2017-12, Vol.100 (12), p.9656-9666

2017

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Genome-wide association analysis uncovers the genetic architecture of tradeoff between flowering date and yield components in sesame

BMC plant biology, 2021-11, Vol.21 (1), p.549-549, Article 549

2021

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Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

Scientific reports, 2020-05, Vol.10 (1), p.7751-7751, Article 7751

2020

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Quantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions

Genetics selection evolution (Paris), 2018-09, Vol.50 (1), p.45-45, Article 45

2018

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Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

PloS one, 2020-02, Vol.15 (2), p.e0228118-e0228118

2020

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Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame

Frontiers in genetics, 2023-03, Vol.14, p.1108416-1108416

2023

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Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice

Journal of experimental botany, 2020-09, Vol.71 (18), p.5669-5679

2020

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Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal Traits

The plant genome, 2019-06, Vol.12 (2), p.1-8

2019

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A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies

G3 : genes - genomes - genetics, 2020-12, Vol.10 (12), p.4439-4448

2020

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A Bayesian random regression method using mixture priors for genome‐enabled analysis of time‐series high‐throughput phenotyping data

The plant genome, 2022-09, Vol.15 (3), p.e20228-n/a

2022

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Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping

Plant direct, 2018-09, Vol.2 (9), p.e00080-n/a

2018

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79 Statistical Graphics and Interactive Visualization in Animal Science

Journal of animal science, 2021-10, Vol.99 (Supplement_3), p.45-45

Morota, Gota

2021

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MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis

BMC bioinformatics, 2015-02, Vol.16 (1), p.45-45, Article 45

2015

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Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

Plant methods, 2019-09, Vol.15 (1), p.107-107, Article 107

2019

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Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits

PloS one, 2021-03, Vol.16 (3), p.e0236853-e0236853

2021

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

G3 : genes - genomes - genetics, 2019-10, Vol.9 (10), p.3369-3380

2019

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Review of sheep breeding and genetic research in Türkiye

Frontiers in genetics, 2024, Vol.15, p.1308113-1308113

2024

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312 Statistical graphics and interactive visualization in animal science

Journal of animal science, 2020-11, Vol.98 (Supplement_4), p.45-46

Morota, Gota

2020

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Genes and models for estimating genetic parameters for heat tolerance in dairy cattle

Frontiers in genetics, 2023-02, Vol.14, p.1127175-1127175

2023

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Statistical graphics and interactive visualization in animal science

Journal of animal science, 2020-11, Vol.98, p.45-45

Morota, Gota

2020

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Editorial: High-Throughput Phenotyping in the Genomic Improvement of Livestock

Frontiers in genetics, 2021-06, Vol.12, p.707343-707343

2021

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SeedExtractor : An Open-Source GUI for Seed Image Analysis

Frontiers in plant science, 2021-02, Vol.11, p.581546-581546

2021

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ShinyGPAS: interactive genomic prediction accuracy simulator based on deterministic formulas

Kernel-based whole-genome prediction of complex traits: a review

GCA: an R package for genetic connectedness analysis using pedigree and genomic data

Predicting bull fertility using genomic data and biological information

Genome-wide association analysis uncovers the genetic architecture of tradeoff between flowering date and yield components in sesame

Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

Quantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions

Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame

Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice

Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal Traits

A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies

A Bayesian random regression method using mixture priors for genome‐enabled analysis of time‐series high‐throughput phenotyping data

Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping

79 Statistical Graphics and Interactive Visualization in Animal Science

MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis

Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits

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

Review of sheep breeding and genetic research in Türkiye

312 Statistical graphics and interactive visualization in animal science

Genes and models for estimating genetic parameters for heat tolerance in dairy cattle

Statistical graphics and interactive visualization in animal science

Editorial: High-Throughput Phenotyping in the Genomic Improvement of Livestock

SeedExtractor : An Open-Source GUI for Seed Image Analysis

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