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

Authors :
Luqman B. Safdar
Kateryna Dugina
Ali Saeidan
Guilherme V. Yoshicawa
Nicola Caporaso
Brighton Gapare
M. Jawad Umer
Rahul A. Bhosale
Iain R. Searle
M. John Foulkes
Scott A. Boden
Ian D. Fisk
Source :
Food and Energy Security, Vol 12, Iss 5, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

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.

Details

Language :
English
ISSN :
20483694
Volume :
12
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Food and Energy Security
Publication Type :
Academic Journal
Accession number :
edsdoj.9de73382ffff41c9b2669c8a43d559fe
Document Type :
article
Full Text :
https://doi.org/10.1002/fes3.498