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Related Experiment Video

Updated: Jun 8, 2026

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
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Methods for rice phenomics studies.

Chyr-Guan Chern1, Ming-Jen Fan, Sheng-Chung Huang

  • 1Taiwan Agricultural Research Institute, Wufeng, Taichung, Taiwan.

Methods in Molecular Biology (Clifton, N.J.)
|October 9, 2010
PubMed
Summary
This summary is machine-generated.

This study details phenomics analysis for rice functional genomics. It outlines methods for manipulating mutant populations and systematically collecting data for a searchable database of traits, aiding gene function discovery.

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Published on: September 2, 2019

Area of Science:

  • Plant Biology
  • Genomics
  • Agricultural Science

Background:

  • The completion of the rice genome sequencing project necessitates large-scale gene function determination.
  • Systematic phenotypic profiling of mutant collections is crucial for understanding gene functions related to crop growth and production.
  • Detailed phenomics analysis is identified as the key to advancing functional genomics in rice.

Purpose of the Study:

  • To describe the manipulation of rice mutant populations for phenomics studies.
  • To outline systematic data collection methods for creating a searchable database of phenotypic traits.
  • To establish a valuable resource for rice functional genomics research.

Main Methods:

  • Manipulation of rice mutant populations, including insertional and induced mutants.
  • Conducting systematic phenomics studies to screen and record phenotypes.
  • Developing protocols for propagation, seed storage, and data management for mutant lines.

Main Results:

  • A comprehensive approach for phenomics analysis in rice mutant populations is presented.
  • Methods for systematic data collection of qualitative and quantitative phenotypic traits are described.
  • The establishment of a searchable database integrating mutant lines, phenotypes, and segregation data is proposed.

Conclusions:

  • Systematic phenomics analysis of rice mutant collections is essential for functional genomics.
  • The described methods facilitate the creation of a valuable, searchable resource for rice research.
  • This approach supports the large-scale determination of gene function in rice, crucial for crop improvement.