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The interplay of demography and selection during maize domestication and expansion

Genome Biology, 2017-11, Vol.18 (1), p.215-215, Article 215

2017

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Marker density and read depth for genotyping populations using genotyping-by-sequencing

Genetics (Austin), 2013-04, Vol.193 (4), p.1073-1081

2013

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Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs

BMC plant biology, 2019-10, Vol.19 (1), p.412-412, Article 412

2019

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Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks

Frontiers in plant science, 2021-11, Vol.12, p.699589-699589

2021

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MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken

G3 : genes - genomes - genetics, 2016-08, Vol.6 (8), p.2447-2453

2016

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Yield prediction through integration of genetic, environment, and management data through deep learning

G3 : genes - genomes - genetics, 2023-04, Vol.13 (4)

2023

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Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Arabidopsis Seeds

G3 : genes - genomes - genetics, 2020-11, Vol.10 (11), p.4227-4239

2020

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Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

The Plant cell, 2019-09, Vol.31 (9), p.1968-1989

2019

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learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data

G3 : genes - genomes - genetics, 2022-11, Vol.12 (11)

2022

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Evolutionary insights into plant breeding

Current opinion in plant biology, 2020-04, Vol.54, p.93-100

2020

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Genetic diversity of pea (Pisum sativum L.) genotypes differing in leaf type using SNP markers

Genetic resources and crop evolution, 2023-04, Vol.70 (4), p.1085-1095

2023

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Recent demography drives changes in linked selection across the maize genome

Nature plants, 2016-06, Vol.2, p.16084

2016

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Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution

Plant methods, 2017-02, Vol.13 (1), p.8-8, Article 8

2017

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Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics

Genetics selection evolution (Paris), 2012-09, Vol.44 (1), p.29-29, Article 29

2012

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Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected Populations

Plant and cell physiology, 2021-10, Vol.62 (7), p.1199-1214

2021

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A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number

Genetics (Austin), 2014-03, Vol.196 (3), p.829-840

2014

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Defining window-boundaries for genomic analyses using smoothing spline techniques

Genetics selection evolution (Paris), 2015-04, Vol.47 (1), p.30-30, Article 30

2015

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A primer on high-throughput computing for genomic selection

Frontiers in genetics, 2011, Vol.2, p.4-4

2011

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Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

The Plant cell, 2019-09, Vol.31 (9), p.1968

2019

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Insights into the effects of long-term artificial selection on seed size in maize

Genetics (Austin), 2014-09, Vol.198 (1), p.409-421

2014

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An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations

Journal of open research software, 2019-04, Vol.7 (1), p.15

2019

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Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population

G3 : genes - genomes - genetics, 2015-04, Vol.5 (4), p.541-549

2015

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Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.)

Theoretical and applied genetics, 2015-03, Vol.128 (3), p.529-538

2015

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Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis

G3 : genes - genomes - genetics, 2015-06, Vol.5 (8), p.1593-1602

2015

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The interplay of demography and selection during maize domestication and expansion

Marker density and read depth for genotyping populations using genotyping-by-sequencing

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs

Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks

MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken

Yield prediction through integration of genetic, environment, and management data through deep learning

Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Arabidopsis Seeds

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data

Evolutionary insights into plant breeding

Genetic diversity of pea (Pisum sativum L.) genotypes differing in leaf type using SNP markers

Recent demography drives changes in linked selection across the maize genome

Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution

Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics

Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected Populations

A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number

Defining window-boundaries for genomic analyses using smoothing spline techniques

A primer on high-throughput computing for genomic selection

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

Insights into the effects of long-term artificial selection on seed size in maize

An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations

Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population

Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.)

2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project

Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis

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