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

Возрождение качества зерна пшеницы с помощью неразрушающих методов фенотипирования, таких как гиперспектральная визуализация
Luqman Bin Safdar, Kateryna Dugina, Ali Saeidan, Guilherme V. Yoshicawa, Nicola Caporaso, Brighton Gapare, Muhammad Jawad Umer, Rahul Bhosale, Iain Searle, J. Foulkes, Scott A. Boden, Ian D. Fisk
2023-09-01

grain quality traitshyperspectral imagingnon-destructive phenotypingwheat breedingwheat grain quality
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.
1
Combining awareness of genetic diversity loss with innovative non-destructive phenotyping approaches may support the improvement of wheat grain quality.
2
Grain-quality assessment is often tedious and destructive, creating a barrier to efficient phenotyping in wheat breeding.
3
Hyperspectral imaging enables non-destructive quantification of variation among individual wheat grains and can distinguish high-quality from low-quality grains.
4
Hyperspectral imaging has potential for evaluating key wheat grain-quality traits and integrating grain-quality phenotyping into breeding programs.
5
Modern wheat breeding has reduced genetic diversity underlying important grain-quality traits, partly because selection has prioritized yield.

wheat grains and their genetic diversity in the context of grain quality

grain quality traits and their non-destructive phenotyping, particularly characterization by hyperspectral imaging, for breeding applications

Publication Details
Publication Date
2023-09-01
Journal
Publisher
ISSN
Cited by
28
Access Type
Author Information
Authors
Luqman Bin Safdar
Kateryna Dugina
Ali Saeidan
Guilherme V. Yoshicawa
Nicola Caporaso
Brighton Gapare
Muhammad Jawad Umer
Rahul Bhosale
Iain Searle
J. Foulkes
Scott A. Boden
Ian D. Fisk
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%