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High-Throughput Plant Phenotyping -

High-Throughput Plant Phenotyping

Methods and Protocols
Buch | Hardcover
298 Seiten
2022 | 1st ed. 2022
Springer-Verlag New York Inc.
978-1-0716-2536-1 (ISBN)
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This volume looks at a collection of the latest techniques used to quantify the genome-by-environment-by-management (GxExM) interactions in a variety of model and plant crops. The chapters in this book are organized into five parts. Part One discusses high-throughput plant phenotyping (HTPP) protocols for plants growing under controlled conditions. Part Two present novel algorithms for extracting data from seed images, color analysis from fruits, and other digital readouts from 2D objects. Part Three covers molecular imaging protocols using PET and X-ray approaches, and Part Four presents a collection of HTPP techniques for crops growing under field conditions. The last part focuses on molecular analysis, metabolomics, network analysis, and statistical methods for the quantitative genetic analysis of HTP data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Cutting-edge and practical, High-Throughput Plant Phenotyping: Review and Protocols is a valuable resource for both novice and expert researchers looking to learn more about this important field.

Chapter 21 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

High Throughput Screening to Examine the Dynamic of Stay Green by an Imaging System.- An Automated High-Throughput Phenotyping System for Marchantia polymorpha.- A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana.- Camelina sativa High-Throughput Phenotyping Under Normal and Salt Conditions Using a Plant Phenomics Platform.- A Straightforward High-Throughput Aboveground Phenotyping Platform for Small to Medium-Sized Plants.- Wireless Fixed Camera Network for Greenhouse-Based Plant Phenotyping.- Experimental Design for Controlled Environment High-Throughput Plant Phenotyping.- High-Throughput Extraction of Seed Traits Using Image Acquisition and Analysis.- ColorQuant: A High-Throughput Technique to Extract and Quantify Color Phenotypes from Plant Images.- Using Cameras for Precise Measurement of Two-Dimensional Plant Features: CASS.- Positron Emission Tomography (PET) for Molecular Plant Imaging.- Phenotyping Complex PlantStructures with a Large Format Industrial Scale High Resolution X-Ray Tomography Instrument.- Challenges for a Massive Implementation of Phenomics in Plant Breeding Programs.- Designing Experiments for Physiological Phenomics.- Design Considerations for In-Field Measurement of Plant Architecture Traits Using Ground-Based Platforms.- Design and Construction of Unmanned Ground Vehicles for Sub-Canopy Plant Phenotyping.- Nighttime Chlorophyll Fluorescence Imaging of Dark-Adapted Plants Using a Robotic Field Phenotyping Platform.- A Method for Rapid and Reliable Molecular Detection of Drought-Response Genes in Sorghum bicolor (L.) Moench Roots.- High-Throughput Profiling of Metabolic Phenotypes Using High-Resolution GC-MS.- Gene Co-Expression Network Analysis and Linking Modules to Phenotyping Response in Plants.- Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping Data.

Erscheinungsdatum
Reihe/Serie Methods in Molecular Biology ; 2539
Zusatzinfo 67 Illustrations, color; 8 Illustrations, black and white; XIII, 298 p. 75 illus., 67 illus. in color.
Verlagsort New York, NY
Sprache englisch
Maße 178 x 254 mm
Themenwelt Naturwissenschaften Biologie Botanik
Naturwissenschaften Biologie Ökologie / Naturschutz
Schlagworte heat stress tolerance • Hyperspectral Imaging • integrating phenotypes • seed germination • X-ray tomography
ISBN-10 1-0716-2536-5 / 1071625365
ISBN-13 978-1-0716-2536-1 / 9781071625361
Zustand Neuware
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