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

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

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

http://www.wikidata.org/entity/Q36820167

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Advanced phenotyping and phenotype data analysis for the study of plant growth and development Coping with drought: stress and adaptive responses in potato and perspectives for improvement Advanced imaging techniques for the study of plant growth and development Systems approaches to study root architecture dynamics Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice A practical introduction to skeletons for the plant sciences High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response.RhizoTubes as a new tool for high throughput imaging of plant root development and architecture: test, comparison with pot grown plants and validation DynamicRoots: A Software Platform for the Reconstruction and Analysis of Growing Plant Roots.Deep phenotyping unveils hidden traits and genetic relations in subtle mutants.Understanding rice adaptation to varying agro-ecosystems: trait interactions and quantitative trait loci Genes controlling root development in rice Morphological Plant Modeling: Unleashing Geometric and Topological Potential within the Plant Sciences QTL analysis of root morphology, flowering time, and yield reveals trade-offs in response to drought in Brassica napus.Cherenkov luminescence imaging in transparent media and the imaging of thin or shallow sources.Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level.High-throughput phenotyping and genetic linkage of cortical bone microstructure in the mouse Quantitative Analysis of Adventitious Root Growth Phenotypes in Carnation Stem Cuttings.Plastic and Evolved Responses to Global Change: What Can We Learn from Comparative Transcriptomics?Beneficial Microbes Affect Endogenous Mechanisms Controlling Root Development.The roots of future rice harvests.Genetic Analysis of Kernel Traits in Maize-Teosinte Introgression Populations Natural variation of rice strigolactone biosynthesis is associated with the deletion of two MAX1 orthologs Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology.Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping.Strigolactone involvement in root development, response to abiotic stress, and interactions with the biotic soil environment.Natural variation of root traits: from development to nutrient uptake.Molecular systems governing leaf growth: from genes to networks.Genes and networks regulating root anatomy and architecture.Novel imaging-based phenotyping strategies for dissecting crosstalk in plant development.Root phenotyping: from component trait in the lab to breeding.Fine-tuning by strigolactones of root response to low phosphate.Spatio-temporal orientation of microtubules controls conical cell shape in Arabidopsis thaliana petals.How can we harness quantitative genetic variation in crop root systems for agricultural improvement?From promise to application: root traits for enhanced nutrient capture in rice breeding.High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach.qRT9, a quantitative trait locus controlling root thickness and root length in upland rice.Evaluating physiological responses of plants to salinity stress Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants.

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

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3D phenotyping and quantitativ ...... controlling root architecture

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3D phenotyping and quantitativ ...... controlling root architecture

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3D phenotyping and quantitativ ...... controlling root architecture

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PNAS.1304354110

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Proceedings of the National Academy of Sciences of the United States of America

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3D phenotyping and quantitativ ...... controlling root architecture

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Brad T Moore

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Cheng-Ruei Lee

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John Harer

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Joshua S Weitz

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Olga Symonova

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Paul R Zurek

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Philip N Benfey

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Taras Galkovskyi

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Ying Zheng

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Yuriy Mileyko

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P2860

The shikimate pathway as an entry to aromatic secondary metabolism

Model-assisted integration of physiological and environmental constraints affecting the dynamic and spatial patterns of root water uptake from soils

Expression level polymorphisms: heritable traits shaping natural variation.

Root system architecture: opportunities and constraints for genetic improvement of crops.

Quantifying the impact of soil compaction on root system architecture in tomato (Solanum lycopersicum) by X-ray micro-computed tomography

Improved resolution in the position of drought-related QTLs in a single mapping population of rice by meta-analysis.

Breeding technologies to increase crop production in a changing world.

Phenomics: the next challenge.

Detection of a gravitropism phenotype in glutamate receptor-like 3.3 mutants of Arabidopsis thaliana using machine vision and computation

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

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E1695-704

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10.1073/PNAS.1304354110

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18

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110

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Alexander Bucksch

Jill T. Anderson

Thomas Mitchell-Olds

Anjali Iyer-pascuzzi

Christopher N Topp

Herbert Edelsbrunner

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2013-04-11T00:00:00Z

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236197073

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23580618

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