Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Plant Tissue Culture02:57

Plant Tissue Culture

Plant tissue culture is widely used in both primary and applied science. Applications range from plant development studies to functional gene studies, crop improvement, commercial micropropagation, virus elimination, and conservation of rare species.
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Notices of the Progress of Experiments on the Influence of Light on the Growth of Plants.

Western journal of medicine and surgery·2024
Same author

Report on the Influence of Light on the Growth of Plants.

Western journal of medicine and surgery·2024
Same author

An investigation into the factor structure of the Health of the Nation Outcome Scales for People with Learning Disabilities.

Journal of intellectual disability research : JIDR·2023
Same author

Daily patterns in parasite processes: diel variation in fish louse transcriptomes.

International journal for parasitology·2022
Same author

A partially randomised trial of pretomanid, moxifloxacin and pyrazinamide for pulmonary TB.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2021
Same author

Self-retaining retraction technique for axillary lymph node dissection for breast surgeons.

Annals of the Royal College of Surgeons of England·2020

Related Experiment Video

Updated: Jul 19, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

A modern tool for classical plant growth analysis.

R Hunt1, D R Causton, B Shipley

  • 1Unit of Comparative Plant Ecology, Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK. r.hunt@shef.ac.uk

Annals of Botany
|September 27, 2002
PubMed
Summary

A free software tool simplifies plant growth analysis by calculating key growth parameters with statistical accuracy. This Microsoft Excel-based tool provides standard errors and confidence limits for research and teaching.

More Related Videos

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities
05:34

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities

Published on: February 2, 2018

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Related Experiment Videos

Last Updated: Jul 19, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities
05:34

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities

Published on: February 2, 2018

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Area of Science:

  • Plant Science
  • Agricultural Science
  • Biostatistics

Background:

  • Accurate quantification of plant growth is crucial for agricultural and ecological research.
  • Traditional methods for calculating plant growth parameters can be complex and time-consuming.
  • Statistical rigor in growth analysis ensures reliable data interpretation.

Purpose of the Study:

  • To introduce a comprehensive software tool for plant growth analysis.
  • To provide a user-friendly solution for calculating fundamental growth parameters.
  • To facilitate accurate statistical assessment of plant development.

Main Methods:

  • Development of a Microsoft Excel-based software tool.
  • Implementation of a 'classical' approach for calculating growth parameters.
  • Integration of standard error and 95% confidence limit calculations.

Main Results:

  • The tool calculates up to six essential plant growth parameters.
  • All calculated estimates include standard errors and 95% confidence limits.
  • The software is freely available for educational and research purposes.

Conclusions:

  • The presented software tool offers an accessible and statistically sound method for plant growth analysis.
  • It simplifies complex calculations, making advanced analysis more attainable.
  • The tool supports both teaching and research in plant sciences.