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Titlebook: High-Throughput Plant Phenotyping; Methods and Protocol Argelia Lorence,Karina Medina Jimenez Book 2022 Springer Science+Business Media, LL

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发表于 2025-3-21 19:30:13 | 显示全部楼层 |阅读模式
书目名称High-Throughput Plant Phenotyping
副标题Methods and Protocol
编辑Argelia Lorence,Karina Medina Jimenez
视频videohttp://file.papertrans.cn/427/426803/426803.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: High-Throughput Plant Phenotyping; Methods and Protocol Argelia Lorence,Karina Medina Jimenez Book 2022 Springer Science+Business Media, LL
描述 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 Pr
出版日期Book 2022
关键词seed germination; heat stress tolerance; hyperspectral imaging; X-ray tomography; integrating phenotypes
版次1
doihttps://doi.org/10.1007/978-1-0716-2537-8
isbn_softcover978-1-0716-2539-2
isbn_ebook978-1-0716-2537-8Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2022
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发表于 2025-3-21 22:00:49 | 显示全部楼层
Wireless Fixed Camera Network for Greenhouse-Based Plant Phenotyping camera modules placed strategically in a greenhouse, we can capture automated, high-resolution images for 3D reconstructions of individual plants on timescales ranging from minutes to hours, capturing temporal changes in plant phenotypes.
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Experimental Design for Controlled Environment High-Throughput Plant Phenotypingvoid issues such as lack of power and confounding. In this chapter, the topic of experimental design will be discussed, from basic principles to examples specific to controlled environment plant phenotyping. Examples will be provided based on the package agricolae in the R statistical language.
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Designing Experiments for Physiological Phenomicslooked – considerations of a phenomics experiment to help you maximize the value from the data collected: choosing population and location, accounting for sources of variation, establishing a timeline, and leveraging ground-truth measurements.
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1064-3745 ation advice from the experts 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 pl
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A Straightforward High-Throughput Aboveground Phenotyping Platform for Small- to Medium-Sized Plantsequipment or phenotyping expertise. Here we present a relatively inexpensive and simple phenotyping method for imaging hundreds of small- to medium-sized growth chamber or greenhouse-grown plants with a digital camera. Using this method, we image hundreds of tomato plants in 1 day.
发表于 2025-3-23 03:40:56 | 显示全部楼层
ColourQuant: A High-Throughput Technique to Extract and Quantify Color Phenotypes from Plant Imageswe present ColourQuant, an automated high-throughput pipeline that allows users to extract color phenotypes from images. This pipeline includes methods for color phenotyping using mean pixel values, a Gaussian density estimator of CIELAB color, and the analysis of shape-independent color patterning by circular deformation.
发表于 2025-3-23 07:46:15 | 显示全部楼层
High-Throughput Screening to Examine the Dynamic of Stay-Green by an Imaging Systemges acquired using a phenomic platform and a specific software. These images allow us to obtain a data group related to the color parameters that quantify the changes and alterations in each plant growth and development.
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