Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies.

IF 7.6 1区 农林科学 Q1 AGRONOMY
Plant Phenomics Pub Date : 2023-12-08 eCollection Date: 2023-01-01 DOI:10.34133/plantphenomics.0121
Ruowen Liu, Pengyan Li, Zejun Li, Zhenghui Liu, Yanfeng Ding, Wenjuan Li, Shouyang Liu
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引用次数: 0

Abstract

Accurate assessment of crop biochemical profiles plays a crucial role in diagnosing their physiological status. The conventional destructive methods, although reliable, demand extensive laboratory work for measuring various traits. On the other hand, nondestructive techniques, while efficient and adaptable, often suffer from reduced precision due to the intricate interplay of the field environment and canopy structure. Striking a delicate balance between efficiency and accuracy, we have developed the Bio-Master phenotyping system. This system is capable of simultaneously measuring four vital biochemical components of the canopy profile: dry matter, water, chlorophyll, and nitrogen content. Bio-Master initiates the process by addressing structural influences, through segmenting the fresh plant and then further chopping the segment into uniform small pieces. Subsequently, the system quantifies hyperspectral reflectance and fresh weight over the sample within a controlled dark chamber, utilizing an independent light source. The final step involves employing an embedded estimation model to provide synchronous estimates for the four biochemical components of the measured sample. In this study, we established a comprehensive training dataset encompassing a wide range of rice varieties, nitrogen levels, and growth stages. Gaussian process regression model was used to estimate biochemical contents utilizing reflectance data obtained by Bio-Master. Leave-one-out validation revealed the model's capacity to accurately estimate these contents at both leaf and plant scales. With Bio-Master, measuring a single rice plant takes approximately only 5 min, yielding around 10 values for each of the four biochemical components across the vertical profile. Furthermore, the Bio-Master system allows for immediate measurements near the field, mitigating potential alterations in plant status during transportation and processing. As a result, our measurements are more likely to faithfully represent in situ values. To summarize, the Bio-Master phenotyping system offers an efficient tool for comprehensive crop biochemical profiling. It harnesses the benefits of remote sensing techniques, providing significantly greater efficiency than conventional destructive methods while maintaining superior accuracy when compared to nondestructive approaches.

Bio-Master:作物冠层高通量生化分析平台的设计与验证。
对作物生化特征的准确评估在诊断其生理状况方面起着至关重要的作用。传统的破坏性方法虽然可靠,但需要大量的实验室工作来测量各种性状。另一方面,非破坏性技术虽然高效且适应性强,但由于田间环境和冠层结构之间错综复杂的相互作用,往往会降低精度。为了在效率和精度之间取得微妙的平衡,我们开发了 Bio-Master 表型系统。该系统能够同时测量冠层剖面的四个重要生化成分:干物质、水分、叶绿素和氮含量。Bio-Master 通过对新鲜植株进行切片,然后进一步将切片切成均匀的小块,从结构影响因素入手启动整个过程。随后,该系统利用独立光源,在受控暗室中量化样品的高光谱反射率和鲜重。最后一步是采用嵌入式估算模型,对测量样本的四种生化成分进行同步估算。在这项研究中,我们建立了一个全面的训练数据集,涵盖了各种水稻品种、氮素水平和生长阶段。利用 Bio-Master 获得的反射率数据,采用高斯过程回归模型估算生化成分。留空验证表明,该模型能够准确估计叶片和植株尺度上的生化含量。利用 Bio-Master,测量一株水稻大约只需 5 分钟,就能得到整个垂直剖面上四种生化成分中每种成分的大约 10 个值。此外,Bio-Master 系统可在田间进行即时测量,减轻了运输和加工过程中植物状态的潜在变化。因此,我们的测量结果更有可能忠实地反映原地值。总之,Bio-Master 表型分析系统为全面的作物生化分析提供了一种有效的工具。它利用了遥感技术的优势,与传统的破坏性方法相比,效率明显更高,同时与非破坏性方法相比,精度也更高。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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