A technique for measuring non-structural carbohydrate reserves in flag leaves of paddy rice using Fourier transform infrared spectroscopy (FTIR).

Kharla Mendez, M Arlene Adviento-Borbe, Cherryl Quiñones, Wenceslao Larazo, Brian Ottis, Argelia Lorence, Harkamal Walia

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Article in Plant methods, 2025. 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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7 authors.

Kharla MendezMississippi Water Resources Research Institute (WRRI), Mississippi State University, Mississippi State, Starkville, MS, USA. ksm485@msstate.edu.

M Arlene Adviento-BorbeDelta Water Management Research Unit, Department of Agriculture (USDA) Agricultural Resources Services (ARS), Jonesboro, AR, USA. arlene.advientoborbe@usda.gov.

Cherryl QuiñonesBiological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA.

Wenceslao LarazoArkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA.

Brian OttisUS Marketing and Product Management, RiceTec, Inc., Houston, TX, USA.

Argelia LorenceArkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA.

Harkamal WaliaDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.

Funding

National Science Foundation 1736192

6 · The paper itself

Abstract

The application of Fourier transform infrared (FTIR) spectroscopy for non-structural carbohydrates (NSC) prediction as a tool for pre-breeding screening has immense potential but remains to be unexplored, because of technical challenges associated with these measurements. This study investigated the potential of employing FTIR spectroscopy as a high-throughput tool for forecasting NSC content, including total soluble sugar (TSS) and starch content, of 30 rice accessions from the Rice Diversity Panel 1 (RDP1) germplasm and RiceTec hybrids grown in 2019 (320 genotypes) and 2020 cropping (312 genotypes). Partial Least Squares (PLS) regression analysis was used to construct predictive models to estimate NSC content in flag leaves and stem of rice exposed to elevated and ambient nighttime air temperature during the flowering stage of rice. The TSS model exhibited a coefficient of determination (R

Indexed as

FTIRHigh nighttime temperatureLeavesNon-structural carbohydratesRice

Identifiers

PMID41174812

DOI10.1186/s13007-025-01444-y

PMCPMC12577274

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