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探索用于检测辣椒( spp.)种质中番茄斑萎病毒(TSWV)感染的成像技术。

Exploring Imaging Techniques for Detecting Tomato Spotted Wilt Virus (TSWV) Infection in Pepper ( spp.) Germplasms.

作者信息

Mensah Eric Opoku, Oh Hyeonseok, Song Jiseon, Baek Jeongho

机构信息

Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea.

CSIR-Plant Genetic Resources Research Institute (CSIR-PGRRI), Bunso P.O. Box 7, Ghana.

出版信息

Plants (Basel). 2024 Dec 9;13(23):3447. doi: 10.3390/plants13233447.

Abstract

Due to the vulnerability of pepper ( spp.) and the virulence of tomato spotted wilt virus (TSWV), seasonal shortages and surges of prices are a challenge and thus threaten household income. Traditional bioassays for detecting TSWV, such as observation for symptoms and reverse transcription-PCR, are time-consuming, labor-intensive, and sometimes lack precision, highlighting the need for a faster and more reliable approach to plant disease assessment. Here, two imaging techniques-Red-Green-Blue (RGB) and hyperspectral imaging (using NDVI and wavelength intensities)-were compared with a bioassay method to study the incidence and severity of TSWV in different pepper accessions. The bioassay results gave TSWV an incidence from 0 to 100% among the accessions, while severity ranged from 0 to 5.68% based on RGB analysis. The normalized difference vegetative index (NDVI) scored from 0.21 to 0.23 for healthy spots on the leaf but from 0.14 to 0.19 for disease spots, depending on the severity of the damage. The peak reflectance of the disease spots on the leaves was identified in the visible light spectrum (430-470 nm) when spectral bands were studied in the broad spectrum (400.93-1004.5 nm). For the selected wavelength in the visible light spectrum, a high reflectance intensity of 340 to 430 was identified for disease areas, but between 270 and 290 for healthy leaves. RGB and hyperspectral imaging techniques can be recommended for precise and accurate detection and quantification of TSWV infection.

摘要

由于辣椒(品种)的易感性以及番茄斑萎病毒(TSWV)的毒性,季节性短缺和价格波动是一项挑战,进而威胁到家庭收入。传统的检测TSWV的生物测定方法,如症状观察和逆转录-聚合酶链反应,既耗时又费力,而且有时缺乏精确性,这凸显了需要一种更快、更可靠的植物病害评估方法。在这里,将两种成像技术——红-绿-蓝(RGB)和高光谱成像(使用归一化植被指数(NDVI)和波长强度)——与一种生物测定方法进行比较,以研究不同辣椒种质中TSWV的发病率和严重程度。生物测定结果显示,各品种中TSWV的发病率为0至100%,而基于RGB分析的严重程度范围为0至5.68%。根据损害的严重程度,健康叶片斑点的归一化差异植被指数(NDVI)得分为0.21至0.23,而病斑的得分为0.14至0.19。在宽光谱(400.93 - 1004.5 nm)中研究光谱带时,叶片病斑的峰值反射率在可见光光谱(430 - 470 nm)中被识别出来。对于可见光光谱中选定的波长,病斑区域的高反射强度为340至430,而健康叶片的反射强度在270至290之间。RGB和高光谱成像技术可被推荐用于精确、准确地检测和量化TSWV感染情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5037/11644830/e0fc4d2e86d9/plants-13-03447-g001.jpg

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