Agarwal Avinash, Colwell Filipe de Jesus, Galvis Viviana Andrea Correa, Hill Tom R, Boonham Neil, Prashar Ankush
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK.
Institute for Bio- and Geosciences: Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, Germany.
Plant Methods. 2025 Feb 20;21(1):24. doi: 10.1186/s13007-025-01339-y.
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 Lab* (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.
Logarithmic decline of G/R, G-minus-R, and Augmented Green-Red Index (AGRI) with increasing Anth/Chl ratio (R > 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 (R = 0.855) than all other color features and vegetation indices.
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.
数字颜色指数通过实现叶绿素(Chl)含量的实时估计,为评估植物状态提供了一种可靠的方法,因此被广泛应用于作物监测。然而,由于所有用于此目的的普遍叶片颜色指数都是使用绿叶植物开发的,它们对于富含花青素(Anth)的红叶品种并不能可靠地发挥作用。因此,本研究调查了六种不同Anth水平的叶菜类蔬菜的数字颜色指数,以确定无论物种和叶片Anth含量如何,都可普遍用于非侵入性作物监测的一致趋势。为此,将来自三个数字颜色空间(即RGB(红、绿、蓝)、HSV(色调、饱和度、明度)和Lab*(明度、红绿度、黄蓝度))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比值和SPAD叶绿素仪读数进行了比较。
随着Anth/Chl比值增加(R > 0.8),G/R、绿减红和增强型绿红指数(AGRI)呈对数下降,这表明相对Anth含量通过改变绿红平衡显著影响数字颜色轮廓,直到Anth/Chl比值达到一定阈值。此外,虽然大多数数字颜色特征和指数在富含Anth的样本和绿叶样本之间呈现出突然变化,但所提出的颜色指数两倍红过量(TREx)并未因叶片Anth含量而出现任何偏差,并且与SPAD读数的相关性(R = 0.855)优于所有其他颜色特征和植被指数。
本研究首次深入评估了由于叶片高Anth含量导致的基于RGB的数字颜色指数的变化,并利用富含Anth以及属于不同物种绿叶作物的数据制定了通用数字颜色指数TREx,该指数可作为手持式叶绿素仪的可靠替代品,用于快速高通量监测绿叶和红叶作物。