Author: Gota Morota

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Preprints

Including phenotypic causal networks in genome-wide association studies using mixed effects structural equation models

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ShinyAIM: Shiny-based Application of Interactive Manhattan Plots for Longitudinal Genome-Wide Association Studies

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MeSH-informed enrichment analysis and MeSH-guided semantic similarity among functional terms and gene products in chicken

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The causal meaning of genomic predictors and how it affects the construction and comparison of genome-enabled selection models

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

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Medical subject heading (MeSH) annotations illuminate maize genetics and evolution

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

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

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SeedExtractor: an open-source GUI for seed image analysis

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Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions

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Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits

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Genomic Relatedness Strengthens Genetic Connectedness Across Management Units

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

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A low-cost greenhouse-based high-throughput phenotyping platform for genetic studies: a case study in maize under inoculation with plant growth-promoting bacteria

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

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Regional genomic heritability mapping for agronomic traits in sugarcane

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Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes

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Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines

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ShinyGPAS: Interactive genomic prediction accuracy simulator based on deterministic formulas

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Near-infrared spectroscopy outperforms genomic selection for predicting sugarcane feedstock quality traits

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

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Examining the relationships between phenotypic plasticity and local environments with genomic structural equation models

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Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

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Deciphering cattle temperament measures derived from a four-platform standing scale using genetic factor analytic modeling

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

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Classification of plant growth-promoting bacteria inoculation status and prediction of growth-related traits in tropical maize using hyperspectral image and genomic data

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Simulation study evaluating the ability of two statistical approaches to identify variance quantitative trait loci Arabidopsis and maize

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