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Related Experiment Video

Updated: May 11, 2026

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Availability and utility of crop composition data.

¹National Food Research Institute, National Agriculture and Food Research Organization , Japan, 2-1-12 Kannon-dai, Tsukuba, Ibaraki 305-8642, Japan.

Journal of Agricultural and Food Chemistry

|May 31, 2013

Summary

Assessing genetically modified (GM) crops requires comparing them to conventional varieties. A new database aids this by compiling crop composition data for enhanced safety evaluations.

Area of Science:

Agricultural Science
Biotechnology
Food Safety

Background:

Genetically modified (GM) crop safety assessments are mandatory globally.
Evaluating unintended effects from transgene insertion is crucial alongside primary trait analysis.
Food composition variability due to cultivation and storage complicates detecting GM-related adverse effects.

Purpose of the Study:

To address the need for comprehensive crop composition data in GM food safety assessments.
To develop an accessible resource for researchers and regulatory agencies.
To support the comparative approach for evaluating GM crop safety.

Main Methods:

Developed an Internet-accessible food composition database.
Included key nutrients, antinutrients, endogenous toxicants, and physiologically active substances.

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Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn (Zea mays) As an Exemplar

Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn (Zea mays) As an Exemplar

Published on: August 6, 2018

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Last Updated: May 11, 2026

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn (Zea mays) As an Exemplar

Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn (Zea mays) As an Exemplar

Published on: August 6, 2018

Focused on staple crops like rice and soybeans.

Main Results:

Created a database for GM crop safety evaluation.
Facilitated the identification of compositional differences between GM and conventional crops.
Provided a resource similar to those developed by organizations like the International Life Sciences Institute.

Conclusions:

A comparative approach using composition data is vital for GM crop safety.
Accessible databases are essential for efficient safety assessments.
The developed database supports regulatory review and scientific research in GM crop safety.