Reviving grain quality in wheat through non‐destructive phenotyping techniques like hyperspectral imaging

Abstract

A long-term goal of breeders and researchers is to develop crop varieties that can resist environmental stressors and produce high yields. However, prioritising yield often compromises improvement of other key traits, including grain quality, which is tedious and time-consuming to measure because of the frequent involvement of destructive phenotyping methods. Recently, non-destructive methods such as hyperspectral imaging (HSI) have gained attention in the food industry for studying wheat grain quality. HSI can quantify variations in individual grains, helping to differentiate high-quality grains from those of low quality. In this review, we discuss the reduction of wheat genetic diversity underlying grain quality traits due to modern breeding, key traits for grain quality, traditional methods for studying grain quality and the application of HSI to study grain quality traits in wheat and its scope in breeding. Our critical review of literature on wheat domestication, grain quality traits and innovative technology introduces approaches that could help improve grain quality in wheat.

Plant phenotyping relevance

小麦粒の品質形質を非破壊的に測定するハイパースペクトル画像法を中心に扱うレビューであり、植物フェノタイピング手法のレビューとして適格。

Code and data availability

This is a review article on hyperspectral imaging for wheat grain quality. The supplied blocks contain no authors' phenotype datasets, hyperspectral images, analysis code, models, or supplements; all URLs are external references (FAOSTAT, GEF, arXiv review, standards document, license) cited from prior work, not paper-

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