PERSPECTIVE article
Front. Plant Sci.
Sec. Technical Advances in Plant Science
This article is part of the Research TopicOmics and Plant Genetic Resources – Unlocking Biodiversity for Future-Ready AgricultureView all articles
Leveraging sensor technologies for seed phenotyping by gene-banks
Provisionally accepted- 1Bioeconomy Science Institute AgResearch Group, Christchurch, New Zealand
- 2Universite d'Angers, Angers, France
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Abstract: Genebanks serve as critical repositories for preserving the genetic diversity of plant species, including crops, forages, and their wild relatives, which is essential for adapting to climate change, enhancing food security, and improving agricultural sustainability. Seed phenotyping, the process of evaluating observable seed traits influenced by genetics and environmental factors, plays a pivotal role in characterizing and utilizing this diversity. Traditional phenotyping methods, however, are labor-intensive and inadequate for the vast collections housed in genebanks. This paper explores the transformative potential of high-throughput phenomics technologies, leveraging the electromagnetic spectrum—from gamma rays to radio waves—to enable rapid, precise, and non-invasive assessment of seed traits such as size, shape, biochemical composition, and vigor. We highlight the integration of advanced imaging systems (e.g., hyperspectral, X-ray, and thermal imaging) to enrich genebank datasets, facilitating trait discovery and crop improvement. Despite challenges like cost, scalability, and data standardization, opportunities arise from collaborative initiatives between genebanks and phenomics facilities through organizations such as International Plant Phenotyping Network. Our conclusions underscore how phenomics can revolutionize genebank operations, ensuring the efficient conservation and deployment of genetic resources to address global agricultural demands.
Keywords: Climate Change, genebanks, genetic diversity, High-throughput phenomics, seed phenotyping, sensor technologies
Received: 20 Oct 2025; Accepted: 08 Dec 2025.
Copyright: © 2025 Ghamkhar and Rousseau. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kioumars Ghamkhar
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