Evidence map›Paper›PMID 42374218›Full record

ArticleBMC plant biology2026

Predicting capsicum leaf water stress using mid-infrared ATR-FTIR spectroscopy.

Seham Al-Mahrouqi, Talal Al-Shukaili, Yaseen Al-Mulla

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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Seham Al-MahrouqiDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat, Oman.
Talal Al-ShukailiDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat, Oman. talals@squ.edu.om.ORCID https://orcid.org/0000-0002-3037-6901
Yaseen Al-MullaDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat, Oman.

Funding

Sultan Qaboos University IG/AGR/SWAE/17/01
6 · The paper itself

Abstract

Leaf water status is a key indicator for irrigation scheduling and early stress detection, but many spectroscopic prediction studies have mainly relied on near-infrared features. Here, practical prediction models were developed using mid-infrared (MIR) ATR-FTIR spectra of capsicum (Capsicum annuum L.) leaves collected under glasshouse conditions during a 10-day gradual dehydration period, alongside an irrigated control. Spectra (4000-450 cm⁻1) were measured with minimal sample preparation, and leaf water traits were quantified using fuel moisture content (FMC), equivalent water thickness (EWT), and specific leaf weight (SLW). Water-related MIR bands at 3370 and 1641 cm⁻1 showed the most consistent response to dehydration, and simple band ratios generally provided stronger predictions than single bands. The best ratios were A1641/A2159 for FMC (R2 = 0.81; RMSE = 12.80) and A3370/A2849 for EWT (R2 = 0.72; RMSE = 0.0034) and SLW (R2 = 0.62; RMSE = 6.95 × 10⁻4), while predicted-versus-measured performance yielded R2 values of 0.72 for FMC, 0.68 for EWT, and 0.52 for SLW. These results indicate that MIR ATR-FTIR spectroscopy, when coupled with selected band ratios, can provide a rapid, low-preparation laboratory-based approach for estimating capsicum leaf water traits under controlled dehydration, supporting plant-based water stress assessment under controlled conditions and providing a basis for further irrigation-related sensing studies. However, the models are preliminary and require validation with larger independent datasets and tightly standardised measurement conditions before operational use in irrigation management.

Indexed as

CapsicumPlant LeavesWaterDehydrationSpectroscopy, Fourier Transform InfraredStress, PhysiologicalWaterAttenuated Total Reflectance (ATR-FTIR)Capsicum annuumLeaf Water StatusMid-Infrared SpectroscopyPrecision IrrigationSpectral Band Ratios

Identifiers

PMID42374218
PMCPMC13422281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.