Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Computer aided data acquisition tool for high-throughput phenotyping of plant populations

View through CrossRef
Abstract Background The data generated during a course of a biological experiment/study can be sometimes be massive and its management becomes quite critical for the success of the investigation undertaken. The accumulation and analysis of such large datasets often becomes tedious for biologists and lab technicians. Most of the current phenotype data acquisition management systems do not cater to the specialized needs of large-scale data analysis. The successful application of genomic tools/strategies to introduce desired traits in plants requires extensive and precise phenotyping of plant populations or gene bank material, thus necessitating an efficient data acquisition system. Results Here we describe newly developed software "PHENOME" for high-throughput phenotyping, which allows researchers to accumulate, categorize, and manage large volume of phenotypic data. In this study, a large number of individual tomato plants were phenotyped with the "PHENOME" application using a Personal Digital Assistant (PDA) with built-in barcode scanner in concert with customized database specific for handling large populations. Conclusion The phenotyping of large population of plants both in the laboratory and in the field is very efficiently managed using PDA. The data is transferred to a specialized database(s) where it can be further analyzed and catalogued. The "PHENOME" aids collection and analysis of data obtained in large-scale mutagenesis, assessing quantitative trait loci (QTLs), raising mapping population, sampling of several individuals in one or more ecological niches etc.
Title: Computer aided data acquisition tool for high-throughput phenotyping of plant populations
Description:
Abstract Background The data generated during a course of a biological experiment/study can be sometimes be massive and its management becomes quite critical for the success of the investigation undertaken.
The accumulation and analysis of such large datasets often becomes tedious for biologists and lab technicians.
Most of the current phenotype data acquisition management systems do not cater to the specialized needs of large-scale data analysis.
The successful application of genomic tools/strategies to introduce desired traits in plants requires extensive and precise phenotyping of plant populations or gene bank material, thus necessitating an efficient data acquisition system.
Results Here we describe newly developed software "PHENOME" for high-throughput phenotyping, which allows researchers to accumulate, categorize, and manage large volume of phenotypic data.
In this study, a large number of individual tomato plants were phenotyped with the "PHENOME" application using a Personal Digital Assistant (PDA) with built-in barcode scanner in concert with customized database specific for handling large populations.
Conclusion The phenotyping of large population of plants both in the laboratory and in the field is very efficiently managed using PDA.
The data is transferred to a specialized database(s) where it can be further analyzed and catalogued.
The "PHENOME" aids collection and analysis of data obtained in large-scale mutagenesis, assessing quantitative trait loci (QTLs), raising mapping population, sampling of several individuals in one or more ecological niches etc.

Related Results

Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Smart manufacturing has been developed since the introduction of Industry 4.0. It consists of resource sharing and networking, predictive engineering, and material and data analyti...
Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs, understanding plant-environment interactions, and managing agricultural sys...
EMPHASIS: European infrastructure for multi-scale plant phenotyping and simulation for food security in a changing climate
EMPHASIS: European infrastructure for multi-scale plant phenotyping and simulation for food security in a changing climate
<p>Quantitative analysis of structure and function of plants has become the major bottleneck in basic plant research and applied use of plants in breeding or agricult...
Leveraging Image Analysis for High-throughput Phenotyping of Legume Plants
Leveraging Image Analysis for High-throughput Phenotyping of Legume Plants
Background: The advancements achieved in artificial intelligence (AI) technology in recent decades have not yet been equaled by agricultural phenotyping approaches that are both ra...
Plant Phenotyping: Past, Present, and Future
Plant Phenotyping: Past, Present, and Future
A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant’s lifetime in a permanently changing e...
Plant Phenotyping: Past, Present, and Future
Plant Phenotyping: Past, Present, and Future
A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant’s lifetime in a permanently changing e...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
High‐throughput phenotyping platforms for pulse crop biofortification
High‐throughput phenotyping platforms for pulse crop biofortification
Societal Impact StatementPulse crops, including dry pea, lentil, and chickpea, are rich sources of protein, low digestible carbohydrates, and micronutrients. With the increasing de...

Back to Top