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Crop Seed Phenomics: Focus on Non-Destructive Functional Trait Phenotyping Methods and Applications
Gokhan Hacisalihoglu1, Paul Armstrong2
1Biological Sciences Department, Florida A&M University, Tallahassee, FL 32307, USA.
Plants (Basel, Switzerland)
|March 11, 2023
Summary
Non-destructive seed phenomics methods like spectroscopy and imaging accelerate crop improvement for global food security. These advanced techniques enable rapid seed quality evaluation and trait identification, benefiting breeders and growers.
Area of Science:
- Agricultural Science
- Plant Biology
- Biotechnology
Background:
- Seeds are vital for global food security, necessitating efficient methods for quality assessment and crop improvement.
- Significant biodiversity in seed traits requires robust, high-throughput, non-destructive phenomics techniques.
- Recent advancements focus on non-destructive seed phenomics to meet these demands.
Purpose of the Study:
- To review recent advances in non-destructive seed phenomics techniques.
- To discuss the applications, advantages, and limitations of various methods for seed quality evaluation.
- To highlight the potential of these techniques in accelerating crop improvement and sustainability.
Main Methods:
- Fourier Transform near infrared (FT-NIR) spectroscopy
- Dispersive-Diode Array (DA-NIR) spectroscopy
- Single-Kernel (SKNIR) spectroscopy
- Micro-Electromechanical Systems (MEMS-NIR) spectroscopy
- Hyperspectral Imaging (HSI)
- Micro-Computed Tomography Imaging (micro-CT)
Main Results:
- These non-destructive techniques offer powerful tools for analyzing seed nutritive traits.
- NIR spectroscopy shows increasing adoption for seed quality phenomics.
- Methods facilitate trait identification, measurement, classification, and screening/sorting.
Conclusions:
- Non-destructive seed phenomics techniques are crucial for enhancing crop improvement and ensuring food security.
- Continued adoption and development of these methods will benefit breeders and the agricultural industry.
- Addressing current limitations will further accelerate progress in sustainable agriculture.
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