Abstract
ABSTRACT The potential of VIS‐NIR spectroscopy as a rapid screening method for resistance of Fusarium ‐inoculated oats to replace the costly chemical measurements of deoxynivalenol (DON) was investigated. Partial least squares (PLS) regression was conducted on second‐derivative spectra (400–2,350 nm) of 166 DON‐contaminated samples (0.05–28.1 ppm, mean = 13.06 ppm) with separate calibration and test set samples. The calibration set had 111 samples, and the test set had 55 samples. The best model developed had three PLS components and a root mean square error of prediction (RMSEP) of 3.16 ppm. The residual predictive deviation (RPD) value of the prediction model was 2.63, an acceptable value for the purpose of rough screening. Visual inspection and the VIS spectra of the samples revealed that high‐DON samples tended to be darker in color and coarser in texture compared with low‐DON samples. The second‐derivative spectra showed that low‐DON samples tended to have more water and fat content than high‐DON samples. With an RMSEP value of 3.16 and RPD of value of 2.63, it seems possible to use VIS‐NIR spectroscopy to semiquantitatively estimate DON content of oats and discard the worst genotypes during the early stages of screening.
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Claims 5
Claim · model-written summary
The best PLS model used three components and had prediction error of 3.16 ppm.
- Taxon
- oats
Avena sativat0 - Outcome
- root mean square error of prediction (RMSEP)e0
- Value
- 3.16 ppme0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The best model developed had three PLS components and a root mean square error of prediction (RMSEP) of 3.16 ppm”
t0“Oats”
Claim · model-written summary
The model had RPD 2.63, acceptable for rough screening.
- Taxon
- oatsAvena sativat0
- Outcome
- residual predictive deviation (RPD)e0
- Value
- 2.63e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The residual predictive deviation (RPD) value of the prediction model was 2.63, an acceptable value for the purpose of rough screening”
t0“Oats”
Claim · model-written summary
High-DON oat samples tended to be darker and coarser than low-DON samples.
- Taxon
- oatsAvena sativat0
- Outcome
- darker in color and coarser in texturee0
- Direction
- darkere0
- Comparator
- low‐DON samplese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“high‐DON samples tended to be darker in color and coarser in texture compared with low‐DON samples”
t0“Oats”
Claim · model-written summary
Low-DON samples tended to have more water and fat than high-DON samples.
- Taxon
- oatsAvena sativat0
- Outcome
- water and fat contente0
- Direction
- moree0
- Comparator
- high‐DON samplese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“low‐DON samples tended to have more water and fat content than high‐DON samples”
t0“Oats”
Claim · model-written summary
VIS-NIR spectroscopy appeared able to estimate oat DON content semiquantitatively for genotype screening.
- Taxon
- oatsAvena sativae0
- Outcome
- semiquantitatively estimate DON content of oatse0
- Comparator
- worst genotypese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“it seems possible to use VIS‐NIR spectroscopy to semiquantitatively estimate DON content of oats and discard the worst genotypes during the early stages of screening”