两倍红过量(TREx):一种简单而新颖的数字颜色指数,可对绿叶和富含花青素的作物进行无创实时监测。

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Avinash Agarwal, Filipe de Jesus Colwell, Viviana Andrea Correa Galvis, Tom R Hill, Neil Boonham, Ankush Prashar
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引用次数: 0

摘要

背景:数字显色指数通过实时估算叶绿素(Chl)含量,为评估植物状态提供了可靠的手段,因此被广泛应用于作物监测。然而,由于用于此目的的所有流行的叶片颜色指数都是用绿叶植物开发的,因此它们不能可靠地用于富含花青素(Anth)的红叶品种。因此,本研究研究了六种不同花药含量的叶菜的数字颜色指数,以确定可以普遍实施的一致趋势,无论物种和叶片花药含量如何,都可以用于无创作物监测。为此,将RGB (Red, Green, Blue)、HSV (Hue, Saturation, Value)和L*a*b* (Lightness, Redness-greenness, Yellowness-blueness)三个数字色彩空间的数据集以及各种衍生的植物颜色指数与n = 320个叶片样本的Anth/Chl比率和SPAD Chl仪表读数进行了比较。结果:随着Anth/Chl比(R2 > 0.8)的增加,G/R、G- R和增红绿指数(AGRI)呈对数递减,表明相对Anth含量通过改变绿红平衡而显著影响数字色彩剖面,直到Anth/Chl比达到一定阈值。此外,虽然大多数数字颜色特征和指数在富花药和绿叶样品之间呈现突变,但所提出的颜色指数Two-fold Red Excess (TREx)没有因叶片花药含量而出现任何偏差,与SPAD读数的相关性(R2 = 0.855)优于所有其他颜色特征和植被指数。结论:本研究首次深入评估了基于rgb的数字显色指数因叶片花素含量高而产生的变化,并利用富花素和不同种类绿叶作物的数据构建了通用数字显色指数TREx,可作为手持式Chl仪的可靠替代品,用于绿叶和红叶作物的快速高通量监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-fold red excess (TREx): a simple and novel digital color index that enables non-invasive real-time monitoring of green-leaved as well as anthocyanin-rich crops.

Background: Digital color indices provide a reliable means for assessing plant status by enabling real-time estimation of chlorophyll (Chl) content, and are thus adopted widely for crop monitoring. However, as all prevalent leaf color indices used for this purpose have been developed using green-leaved plants, they do not perform reliably for anthocyanin (Anth)-rich red-leaved varieties. Hence, the present study investigates digital color indices for six types of leafy vegetables with different levels of Anth to identify congruent trends that could be implemented universally for non-invasive crop monitoring irrespective of species and leaf Anth content. For this, datasets from three digital color spaces, viz., RGB (Red, Green, Blue), HSV (Hue, Saturation, Value), and L*a*b* (Lightness, Redness-greenness, Yellowness-blueness), as well as various derived plant color indices were compared with Anth/Chl ratio and SPAD Chl meter readings of n = 320 leaf samples.

Results: Logarithmic decline of G/R, G-minus-R, and Augmented Green-Red Index (AGRI) with increasing Anth/Chl ratio (R2 > 0.8) revealed that relative Anth content affected digital color profile markedly by shifting the greenness-redness balance until the Anth/Chl ratio reached a certain threshold. Further, while most digital color features and indices presented abrupt shifts between Anth-rich and green-leaved samples, the proposed color index Two-fold Red Excess (TREx) did not exhibit any deviation due to leaf Anth content and showed better correlation with SPAD readings (R2 = 0.855) than all other color features and vegetation indices.

Conclusion: The present study provides the first in-depth assessment of variations in RGB-based digital color indices due to high leaf Anth contents, and uses the data for Anth-rich as well as green-leaved crops belonging to different species to formulate a universal digital color index TREx that can be used as a reliable alternative to handheld Chl meters for rapid high-throughput monitoring of green-leaved as well as red-leaved crops.

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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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