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

Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

17.9K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
17.9K
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

1.9K
Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Environmental regulation of root growth angle in cereal crops.

Plant and soil·2026
Same author

Management of femoral large-bore access and closure during microaxial flow pump-supported interventions.

Frontiers in cardiovascular medicine·2026
Same author

Principles for guiding and unlocking transformation of the European Union agrifood system.

Nature food·2026
Same author

Is thirst the missing physiological link between SGLT2 inhibitors and reduced nephrolithiasis risk?

Clinical kidney journal·2026
Same author

Discordance between mendelian randomization and randomized trials in nephrolithiasis: a multifactorial interpretation including pharmacogenetics.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2026
Same author

Modified strip-tillage boosts maize grain yield and water use efficiency by enhancing fine root length in Northeast China's black soil.

Frontiers in plant science·2026
Same journal

Better breeding leveraging more biology.

Trends in plant science·2026
Same journal

Women in plant science around the world.

Trends in plant science·2026
Same journal

Bilateral symmetry genes: If they exist, how would we know?

Trends in plant science·2026
Same journal

From xylem atlases to developmental continuity in forestry.

Trends in plant science·2026
Same journal

Small peptides guard the gate of plant immunity.

Trends in plant science·2026
Same journal

Phosphorylation blues: Cracking the phototropin phosphocode.

Trends in plant science·2026
See all related articles
  1. Home
  3. Root Mixture Analysis: Methods And Vision.
  1. Home
  3. Root Mixture Analysis: Methods And Vision.

Related Experiment Video

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.3K

Root mixture analysis: methods and vision.

Marco Lombardi1, Claus Krogh Madsen2, Alexa Peterson1

  • 1Department of Agroecology, Climate and Water, Aarhus University, 8830 Tjele, Denmark.

Trends in Plant Science
|August 8, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Developing new root phenotyping methods is crucial for sustainable agriculture. Advanced analysis of physicochemical root traits using machine learning can enable high-throughput studies of crop mixtures.

Keywords:
carbon sequestrationgrassland mixturesintercroppingminirhizotronmultispectral analysisroot phenotypingsustainable agriculture

More Related Videos

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
12:03

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

Published on: September 1, 2020

6.2K
A Method to Preserve Wetland Roots and Rhizospheres for Elemental Imaging
06:29

A Method to Preserve Wetland Roots and Rhizospheres for Elemental Imaging

Published on: February 15, 2021

3.5K

Related Experiment Videos

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.3K
Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
12:03

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

Published on: September 1, 2020

6.2K
A Method to Preserve Wetland Roots and Rhizospheres for Elemental Imaging
06:29

A Method to Preserve Wetland Roots and Rhizospheres for Elemental Imaging

Published on: February 15, 2021

3.5K

Area of Science:

  • Agricultural Science
  • Plant Biology
  • Ecology

Background:

  • Sustainable agriculture relies on understanding belowground interactions in diverse crop mixtures.
  • Current methods for differentiating root species are destructive and limit research scale.
  • Studying root systems in field conditions is challenging due to variability and logistics.

Purpose of the Study:

  • To highlight the need for standardized, cost-effective root phenotyping methods for field conditions.
  • To identify physicochemical root traits as species-specific markers.
  • To propose deep learning and machine learning for high-throughput root mixture analysis.

Main Methods:

  • Review of current root phenotyping limitations.
  • Identification of physicochemical root traits as potential identifiers.
  • Proposal for applying deep learning and machine learning to root data.

    • Main Results:

    • Existing root analysis techniques are laborious and hinder large-scale research.
    • Physicochemical root traits can serve as unique identifiers for plant species.
    • Optimized machine learning approaches can facilitate high-throughput analysis of root mixtures.

    Conclusions:

    • There is an urgent need for advanced, non-destructive root phenotyping techniques.
    • Physicochemical root traits combined with machine learning offer a promising solution for studying root mixtures.
    • This approach can significantly advance research in sustainable agriculture and crop diversification.