Next Article in Journal
Modelling Soil Water Content in a Tomato Field: Proximal Gamma Ray Spectroscopy and Soil–Crop System Models
Previous Article in Journal
Bringing the Consumer Back in—The Motives, Perceptions, and Values behind Consumers and Rural Tourists’ Decision to Buy Local and Localized Artisan Food—A Swedish Example
Article

Characterisation of Castor (Ricinus communis L.) Seed Quality Using Fourier Transform Near-Infrared Spectroscopy in Combination with Multivariate Data Analysis

1
Department of Agroecology, Science and Technology, Aarhus University, 4200 Slagelse, Denmark
2
Department of Agronomy, Shahrekord University, Shahrekord 64165478, Chaharmahal va Bakhtiyari, Iran
3
Novozymes A/S, 2880 Bagsværd, Denmark
*
Author to whom correspondence should be addressed.
Agriculture 2018, 8(4), 59; https://doi.org/10.3390/agriculture8040059
Received: 19 February 2018 / Revised: 4 April 2018 / Accepted: 13 April 2018 / Published: 17 April 2018
The potential of single-seed near-infrared (NIR) spectroscopy was investigated to characterise castor seeds based on their seed viability and seed oil content. Distinct differences between viable and non-viable seeds were observed in the principal component analysis (PCA) analysis. Furthermore, the PCA compared heavy and medium seeds with light seeds, which were comparable to the clusters of viable and non-viable seeds, respectively. Prediction accuracies of 98.7% and 99.6% were obtained with the partial least squares discriminant analysis (PLS-DA) model with a classification error rate of 0.8% and 1.1% for the training set and test set, respectively. The NIR spectral regions having chemical information from the oil in castor seeds were found to be vital for determination of seed viability. View Full-Text
Keywords: NIRS; chemometric; oilseed; ricinoleic acid; seed quality NIRS; chemometric; oilseed; ricinoleic acid; seed quality
Show Figures

Figure 1

MDPI and ACS Style

Gislum, R.; Nikneshan, P.; Shrestha, S.; Tadayyon, A.; Deleuran, L.C.; Boelt, B. Characterisation of Castor (Ricinus communis L.) Seed Quality Using Fourier Transform Near-Infrared Spectroscopy in Combination with Multivariate Data Analysis. Agriculture 2018, 8, 59. https://doi.org/10.3390/agriculture8040059

AMA Style

Gislum R, Nikneshan P, Shrestha S, Tadayyon A, Deleuran LC, Boelt B. Characterisation of Castor (Ricinus communis L.) Seed Quality Using Fourier Transform Near-Infrared Spectroscopy in Combination with Multivariate Data Analysis. Agriculture. 2018; 8(4):59. https://doi.org/10.3390/agriculture8040059

Chicago/Turabian Style

Gislum, René, Pejman Nikneshan, Santosh Shrestha, Ali Tadayyon, Lise C. Deleuran, and Birte Boelt. 2018. "Characterisation of Castor (Ricinus communis L.) Seed Quality Using Fourier Transform Near-Infrared Spectroscopy in Combination with Multivariate Data Analysis" Agriculture 8, no. 4: 59. https://doi.org/10.3390/agriculture8040059

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop