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通过高光谱成像等无损表型分析技术恢复小麦的籽粒品质。

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

作者信息

Safdar Luqman B, Dugina Kateryna, Saeidan Ali, Yoshicawa Guilherme V, Caporaso Nicola, Gapare Brighton, Umer M Jawad, Bhosale Rahul A, Searle Iain R, Foulkes M John, Boden Scott A, Fisk Ian D

机构信息

International Flavour Research Centre, Division of Food, Nutrition and Dietetics University of Nottingham Loughborough UK.

International Flavour Research Centre (Adelaide), School of Agriculture, Food and Wine and Waite Research Institute University of Adelaide Glen Osmond South Australia Australia.

出版信息

Food Energy Secur. 2023 Sep 3;12(5):e498. doi: 10.1002/fes3.498. eCollection 2023 Sep.

DOI:10.1002/fes3.498
PMID:38440412
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10909436/
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.

摘要

育种者和研究人员的一个长期目标是培育出能够抵抗环境压力并实现高产的作物品种。然而,将产量置于优先地位往往会影响其他关键性状的改良,包括谷物品质,由于破坏性表型分析方法经常涉及其中,对谷物品质进行测量既繁琐又耗时。最近,高光谱成像(HSI)等非破坏性方法在食品工业中受到关注,用于研究小麦籽粒品质。高光谱成像可以量化单个籽粒的差异,有助于区分优质籽粒和劣质籽粒。在本综述中,我们讨论了现代育种导致的小麦籽粒品质性状遗传多样性的减少、籽粒品质的关键性状、研究籽粒品质的传统方法以及高光谱成像在研究小麦籽粒品质性状中的应用及其在育种中的范围。我们对有关小麦驯化、籽粒品质性状和创新技术的文献进行的批判性综述介绍了有助于改善小麦籽粒品质的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/f06569f960ba/FES3-12-e498-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/36391f5d27d7/FES3-12-e498-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/a435e35c8582/FES3-12-e498-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/97badfcbb7e7/FES3-12-e498-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/f06569f960ba/FES3-12-e498-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/36391f5d27d7/FES3-12-e498-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/a435e35c8582/FES3-12-e498-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/97badfcbb7e7/FES3-12-e498-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36a/10909436/f06569f960ba/FES3-12-e498-g002.jpg

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Front Plant Sci. 2022 Apr 8;13:837200. doi: 10.3389/fpls.2022.837200. eCollection 2022.
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Applications of hyperspectral imaging in plant phenotyping.高光谱成像技术在植物表型分析中的应用。
Trends Plant Sci. 2022 Mar;27(3):301-315. doi: 10.1016/j.tplants.2021.12.003. Epub 2022 Jan 5.
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Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement.对节节麦的群体基因组分析鉴定出了改良普通小麦的目标。
Nat Biotechnol. 2022 Mar;40(3):422-431. doi: 10.1038/s41587-021-01058-4. Epub 2021 Nov 1.
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Subcellular dynamics studies of iron reveal how tissue-specific distribution patterns are established in developing wheat grains.铁的亚细胞动力学研究揭示了组织特异性分布模式在发育中的小麦籽粒中是如何建立的。
New Phytol. 2021 Aug;231(4):1644-1657. doi: 10.1111/nph.17440. Epub 2021 Jun 17.
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