Unlocking the potential of wheat grain heterogeneity using machine vision

利用机器视觉释放小麦籽粒异质性的潜力

• 批准号: BB/W006979/1
• 负责人: Ian Fisk
• 金额: $ 97.72万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FW006979%2F1
• 关键词: Unlocking; potential; wheat; grain; heterogeneity

This project will unlock the potential of wheat grain heterogeneity. We will: 1) Develop a novel single seed phenotyping tool based on hyperspectral imaging technology (HSI) integrated with next generation machine learning 2) Explain the determinism of the variance of uniformity of single seed grain quality parameters and explore a broad range of both known, and novel and exotic wheat genotypes for previously undefinable unique single seed traits, this will allow breeders to target previously unavailable grain quality uniformity traits, as well as speed selection from segregating populations. 3) Deploy the single grain HSI technology as a novel molecular breeding tool by determining key genes controlling single grain quality uniformity traits and validating the candidate genes by developing lines with contrasting expressing of the novel genes which we will test in field experiments. 4) Demonstrate the application of the single seed phenotyping tool as a sorting technology at laboratory and pilot production scale for wheat. This will demonstrate the ultimate value of the approach by producing exemplar food products (bread, biscuit and malted wheat) with enhanced quality and health credentials and validating the findings through sensory and consumer insight testing.Ultimately this project offers the potential for breeders to significantly upgrade the UK wheat grain production, reduce the requirements to use imported wheat of millers, and enhance the nutritional quality and sensory quality traits of bread, biscuits and food products containing malted wheat for the consumer.The impact of this project will be very significant as sorting by hyperspectral classification for protein content would allow tighter segregation of the wheat supply chain into defined applications such as those that require lower protein (cakes, biscuits, pastry) from those that require higher protein with good protein quality and consistency and resulting good rheology (bread, pasta, high protein flour) and allow tighter adherence to supplier specifications in addition to reducing the need of imported wheat. At the highest capacities, a single sorting machine can process around 0.5 million tons per year, this indicates a very significant impact on the UK wheat industry with a relatively low-cost intervention, often in centralised milling sites. Furthermore, premium wheat with unique bread-making properties (e.g. elevated micronutrients, very high protein) and unique flavour potential through the malting process, will be sold with a price premium. If a further 20% of UK farmers growing bread-making wheat varieties were to achieve the grain protein market specification of 13% for the premium each year, it would be worth an extra £25 M per year to the UK agriculture sector.

该项目将释放出：1）与下一代机器学习集成在一起的新颖单一参见衰老技术（HSI）2）解释Seadle Seadle Seade Grain Grain质量参数均匀性变化的确定性，并探讨了广泛的已知范围。以及以前不可定义的独特的新颖和异国小麦的基因型，请参见D特征，这将使育种者能够针对先前的谷物质量均匀性特征，并从脱绿色的选择中选择速度。通过证明单个种子表型工具在实验室和飞行员飞行员生产量表中，通过征收典型的食品来通过感官和消费者来验证征用的新型分子育种工具来控制候选基因的关键基因。 Insighting.Aulting项目提供了育种升级英国Weat谷物生产的潜力，要求使用磨坊主，饼干和食品进口小麦的要求，这些小麦皮质的小麦在内容中的影响woulow woulow woulow seghty链的影响更紧密，例如那些那些那些那些那些那些那些的应用程序除了需要良好的蛋白质质量和良好的流变性蛋白质的蛋白质stry之外，除了减少进口小麦的需求外，还要对供应商规格较低。通过相对T的干预，在中央铣削中，蛋白质非常高），麦芽过程将以价格溢价出售。每年的溢价对于英国农业部门来说，每年价值25 m。

项目成果

Challenges facing sustainable protein production: Opportunities for cereals.

• DOI: 10.1016/j.xplc.2023.100716
• 发表时间: 2023-11-13
• 期刊: PLANT COMMUNICATIONS
• 影响因子: 10.5
• 作者: Safdar, Luqman B.;Foulkes, M. John;Kleiner, Friedrich H.;Searle, Iain R.;Bhosale, Rahul A.;Fisk, Ian D.;Boden, Scott A.
• 通讯作者: Boden, Scott A.

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

• DOI: 10.1002/fes3.498
• 发表时间: 2023-09-03
• 期刊: FOOD AND ENERGY SECURITY
• 影响因子: 5
• 作者: Safdar，Luqman B.;Dugina，Kateryna;Fisk，Ian D.
• 通讯作者: Fisk，Ian D.

Integration of hyperspectral imaging, non-targeted metabolomics and machine learning for vigour prediction of naturally and accelerated aged sweetcorn seeds

• DOI: 10.1016/j.foodcont.2023.109930
• 发表时间: 2023
• 期刊: Food Control
• 影响因子: 6
• 作者: Tingting Zhang;Long Lu;N. Yang;Ian D Fisk;Wensong Wei;Li Wang;Jing Li;Qun Sun;Rensen Zeng