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The Quantitative Genetic Control of Root Architecture in Maize

Plant and cell physiology, 2018-10, Vol.59 (10), p.1919-1930

2018

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X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs

Plant physiology (Bethesda), 2022-02, Vol.188 (2), p.831-845

2022

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GiA Roots: software for the high throughput analysis of plant root system architecture

BMC plant biology, 2012-07, Vol.12 (1), p.116-116, Article 116

2012

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The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology

Plant physiology (Bethesda), 2018-08, Vol.177 (4), p.1382-1395

2018

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DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots

PloS one, 2015-06, Vol.10 (6), p.e0127657-e0127657

2015

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3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture

Proceedings of the National Academy of Sciences - PNAS, 2013-04, Vol.110 (18), p.7118-7118

2013

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DNA binding of centromere protein C (CENPC) is stabilized by single-stranded RNA

PLoS genetics, 2010-02, Vol.6 (2), p.e1000835

2010

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A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress ( Thlaspi arvense L.) accessions

Frontiers in plant science, 2023-06, Vol.14, p.1145389-1145389

2023

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TopoRoot+: computing whorl and soil line traits of field-excavated maize roots from CT imaging

Plant methods, 2024-08, Vol.20 (1), p.132-13

2024

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Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture

Frontiers in plant science, 2024-01, Vol.14, p.1260005

2024

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Root system architecture and environmental flux analysis in mature crops using 3D root mesocosms

Frontiers in plant science, 2022-12, Vol.13, p.1041404-1041404

2022

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TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging

Plant methods, 2021-12, Vol.17 (1), p.127-127, Article 127

2021

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TRANSPORTER OF IBA1 Links Auxin and Cytokinin to Influence Root Architecture

Developmental cell, 2019-09, Vol.50 (5), p.599-609.e4

2019

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Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops

Current opinion in insect science, 2015-06, Vol.9, p.69-76

2015

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Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.)

Plant methods, 2021-12, Vol.17 (1), p.125-125, Article 125

2021

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Centromere-Encoded RNAs Are Integral Components of the Maize Kinetochore

Proceedings of the National Academy of Sciences - PNAS, 2004-11, Vol.101 (45), p.15986-15991

2004

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Hope in Change: The Role of Root Plasticity in Crop Yield Stability

Plant physiology (Bethesda), 2016-09, Vol.172 (1), p.5-6

Topp, Christopher N.

2016

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archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems [version 1; peer review: 2 approved, 1 approved with reservations]

F1000 research, 2018, Vol.7, p.22-22

2018

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The quest for understanding phenotypic variation via integrated approaches in the field environment

Plant physiology (Bethesda), 2016-08, p.pp.00592.2016

2016

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Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures

The Plant cell, 2019-08, Vol.31 (8), p.1708-1722

2019

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The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment

Plant physiology (Bethesda), 2016-10, Vol.172 (2), p.622-634

2016

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A Statistical Growth Property of Plant Root Architectures

Plant phenomics, 2020-01, Vol.2020, p.2073723-2073723

2020

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Revealing plant cryptotypes: defining meaningful phenotypes among infinite traits

Current opinion in plant biology, 2015-04, Vol.24, p.54-60

2015

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Quantitative Trait Locus Mapping Reveals Regions of the Maize Genome Controlling Root System Architecture

Plant physiology (Bethesda), 2015-04, Vol.167 (4), p.1487-1496

2015

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The Quantitative Genetic Control of Root Architecture in Maize

X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs

GiA Roots: software for the high throughput analysis of plant root system architecture

The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology

DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots

3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture

DNA binding of centromere protein C (CENPC) is stabilized by single-stranded RNA

A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress ( Thlaspi arvense L.) accessions

TopoRoot+: computing whorl and soil line traits of field-excavated maize roots from CT imaging

Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture

Root system architecture and environmental flux analysis in mature crops using 3D root mesocosms

TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging

TRANSPORTER OF IBA1 Links Auxin and Cytokinin to Influence Root Architecture

Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops

Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.)

Centromere-Encoded RNAs Are Integral Components of the Maize Kinetochore

Topological Data Analysis as a Morphometric Method: Using Persistent Homology to Demarcate a Leaf Morphospace

Hope in Change: The Role of Root Plasticity in Crop Yield Stability

archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems [version 1; peer review: 2 approved, 1 approved with reservations]

The quest for understanding phenotypic variation via integrated approaches in the field environment

Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures

The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment

A Statistical Growth Property of Plant Root Architectures

Revealing plant cryptotypes: defining meaningful phenotypes among infinite traits

Quantitative Trait Locus Mapping Reveals Regions of the Maize Genome Controlling Root System Architecture

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