Distinguishing between Bread Wheat and Spelt Grains Using Molecular Markers and Spectroscopy

The increasing demand for spelt products requires the baking industry to develop accurate and efficient tools to differentiate between spelt and bread wheat grains. We subjected a 272-sample spelt-bread wheat set to several potential diagnostic methods. DNA markers for γ-gliadin-D (GAG56D), γ-gliadi...

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Veröffentlicht in:Journal of agricultural and food chemistry 2019-04, Vol.67 (13), p.3837-3841
Hauptverfasser: Curzon, A. Y, Chandrasekhar, K, Nashef, Y. K, Abbo, S, Bonfil, D. J, Reifen, R, Bar-el, S, Avneri, A, Ben-David, R
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container_end_page 3841
container_issue 13
container_start_page 3837
container_title Journal of agricultural and food chemistry
container_volume 67
creator Curzon, A. Y
Chandrasekhar, K
Nashef, Y. K
Abbo, S
Bonfil, D. J
Reifen, R
Bar-el, S
Avneri, A
Ben-David, R
description The increasing demand for spelt products requires the baking industry to develop accurate and efficient tools to differentiate between spelt and bread wheat grains. We subjected a 272-sample spelt-bread wheat set to several potential diagnostic methods. DNA markers for γ-gliadin-D (GAG56D), γ-gliadin-B (GAG56B), and the Q-gene were used, alongside phenotypic assessment of ease-of-threshing and near-infrared spectroscopy (NIRS). The GAG56B and GAG56D markers demonstrated low diagnostic power in comparison to the Q-gene genotyping, which showed full accordance with the threshing phenotype, providing a highly accurate distinction between bread wheat and spelt kernels. A highly reliable Q classification was based on a three-waveband NIR model [Kappa (0.97), R-square (0.93)], which suggested that this gene influences grain characteristics. Our data ruled out a protein concentration bias of the NIRS-based diagnosis. These findings highlight the Q gene and NIRS as important, valuable, but simple tools for distinguishing between bread wheat and spelt.
doi_str_mv 10.1021/acs.jafc.9b00131
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A highly reliable Q classification was based on a three-waveband NIR model [Kappa (0.97), R-square (0.93)], which suggested that this gene influences grain characteristics. Our data ruled out a protein concentration bias of the NIRS-based diagnosis. 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source American Chemical Society; MEDLINE
subjects Discriminant Analysis
Genetic Markers
Gliadin - genetics
Seeds - chemistry
Seeds - classification
Seeds - genetics
Spectrum Analysis - methods
Triticum - chemistry
Triticum - classification
Triticum - genetics
title Distinguishing between Bread Wheat and Spelt Grains Using Molecular Markers and Spectroscopy
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