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Updated: Jul 8, 2026

A Simple Protocol for Mapping the Plant Root System Architecture Traits

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

PlantDB - a versatile database for managing plant research.

Vivien Exner¹, Matthias Hirsch-Hoffmann, Wilhelm Gruissem

¹Institute of Plant Sciences & Zurich-Basel Plant Science Center, ETH Zurich, CH-8092 Zurich, Switzerland. lhennig@ethz.ch.

|January 10, 2008

Summary

This summary is machine-generated.

PlantDB is a user-friendly Microsoft Access database designed to manage experimental plant information, including genetic composition and sample tracking. This system simplifies data management for diverse plant research, enhancing accessibility and organization in plant science laboratories.

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Area of Science:

Plant Science
Genetics
Bioinformatics

Background:

Plant research necessitates managing numerous plant species, cultivars, ecotypes, mutants, alleles, and transgenic lines.
Maintaining accurate records of experimental plant identity and stored samples (e.g., seeds) presents a significant challenge.

Purpose of the Study:

To introduce PlantDB, a user-friendly database system for managing experimental plant information.
To provide a solution for tracking diverse plant genetic materials and associated data.

Main Methods:

Development of PlantDB using Microsoft Office Access with a user-friendly front-end.
Implementation of a concise identifier system for generating plant pedigrees.
Integration of comprehensive data fields including growth conditions, sample information (e.g., RNA), and image files.

Main Results:

PlantDB effectively manages information for plants of various species, cultivars, and genetic backgrounds.
The identifier system facilitates straightforward generation of pedigree trees.
All experimental plant data, from cultivation to sample analysis and imaging, can be unequivocally linked within the database.

Conclusions:

PlantDB has been successfully utilized for several years in laboratory settings.
The database significantly improves access to and management of relevant information for experimental plants.