Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Trihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal chance to...

Multiple Allele Traits

Multiple Allele Traits

The Concept of Multiple Allelism

You might also read

Related Articles

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

Sort by

Same author

Correction: AgroLD: a knowledge graph for the plant sciences.

BMC genomic data·2026

Same author

A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation.

Genomics & informatics·2025

Same author

GRU-SCANET: unleashing the power of GRU-based sinusoidal capture network for precision-driven named entity recognition.

Bioinformatics advances·2025

Same author

Revealing the role of the <i>AGO4</i> gene against rice <i>hoja blanca</i> virus: from transformation to protein structure.

Frontiers in plant science·2025

Same author

Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations.

PloS one·2025

Same author

Transcriptomic and metabolomic reveal OsCOI2 as the jasmonate-receptor master switch in rice root.

PloS one·2024

Search research articles

Related Experiment Video

Updated: May 8, 2026

Translating Ribosome Affinity Purification (TRAP) to Investigate Arabidopsis thaliana Root Development at a Cell Type-Specific Scale

Translating Ribosome Affinity Purification (TRAP) to Investigate Arabidopsis thaliana Root Development at a Cell Type-Specific Scale

Published on: May 14, 2020

P-TRAP: a Panicle TRAit Phenotyping tool.

Faroq A L-Tam¹, Helene Adam, António dos Anjos

¹DEEI-FCT Universidade do Algarve, 8005-139 Faro, Portugal. helene.adam@ird.fr.

BMC Plant Biology

|August 31, 2013

Summary

This summary is machine-generated.

P-TRAP software offers high-throughput phenotyping for rice panicle and seed traits. This free, open-source application provides accurate, rapid analysis, improving upon manual methods for crop breeding.

More Related Videos

TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos

TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos

Published on: September 10, 2015

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

Related Experiment Videos

Last Updated: May 8, 2026

Translating Ribosome Affinity Purification (TRAP) to Investigate Arabidopsis thaliana Root Development at a Cell Type-Specific Scale

Translating Ribosome Affinity Purification (TRAP) to Investigate Arabidopsis thaliana Root Development at a Cell Type-Specific Scale

Published on: May 14, 2020

TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos

TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos

Published on: September 10, 2015

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

Area of Science:

Agricultural Science
Bioinformatics
Computational Biology

Background:

Inflorescence complexity and seed traits significantly impact crop yield.
Manual phenotyping of rice panicles is time-consuming and unreliable.
High-throughput image analysis is crucial for understanding panicle diversity and crop breeding.

Purpose of the Study:

To introduce P-TRAP (Panicle TRAit Phenotyping) software for automated, high-throughput analysis of rice panicle and seed traits.
To provide a free, open-source, user-friendly application for researchers and breeders.

Main Methods:

Developed P-TRAP software using Java with a Graphical User Interface (GUI).
Integrated tools for panicle structure analysis, spikelet/grain counting, and seed shape measurement.
Enabled independent or simultaneous use of tools for image analysis.

Main Results:

P-TRAP software enables high-throughput measurements of panicle architecture and seed traits.
The software processes and quantifies traits, detects/counts grains, and measures seed shape parameters.
P-TRAP demonstrated high accuracy and efficiency compared to manual methods, providing reliable and repeatable results.

Conclusions:

P-TRAP is a novel open-source software for automated recognition and quantification of rice panicle and seed traits from images.
The software offers an efficient and user-friendly solution for crop phenotyping experiments.
Experimental validation confirmed P-TRAP's high accuracy and utility in comparison to manual and expert methods.