Large-Scale Screening of Intact Tomato Seeds for Viability Using Near Infrared Reflectance Spectroscopy (NIRS)

Abstract

Near infrared reflectance spectroscopy (NIRS), a non-destructive and rapid analytical method, was used to examine the possibility of replacing a method for the large-scale screening of tomato seed viability. A total of 368 tomato seed samples were used for development and validation of an NIRS calibration model. The accelerating aging method (98 ± 2% R.H., 40 • C) was employed for preparation of a calibration set (n = 268) and a validation set (n = 100) with wider seed viability. Among the tomato NIRS calibration models tested, the modified partial least square (MPLS) regression produced the best equation model. Specifically, this model produced a higher RSQ (0.9446) and lower SEC (6.5012) during calibration and a higher 1-VR (0.9194) and lower SECV (7.8264) upon cross-validation compared to the other regression methods (PLS, PCR) tested in this study. Additionally, the SD/SECV was 3.53, which was greater than the criterion point of 3. External validation of this NIRS equation revealed a significant correlation between reference values and NIRS-estimated values based on the coefficient of determination (R2), the standard error of prediction (SEP (C)), and the ratio of performance to deviation (RPD = SD/SEP (C)), which were 0.94, 6.57, and 3.96, respectively. The external validation demonstrated that this model had predictive accuracy in tomato, indicating that it has the potential to replace the germination test.

Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis

“…However, the conventional methods of detecting seed viability and vigor, such as the germination test and tetrazolium test (TZ), are time-consuming and destructive to seed samples [ 11 ]. The standard germination test, as the official method, provides a germination rate to estimate the capability of a seed lot to produce normal plants with good vigor under favorable conditions, and generally, a period of time is required to follow the operating instructions [ 12 ].…”

“…With the improvement of the available instrumentation and analytical techniques in the last decade, some researchers have dedicated themselves to detecting seed viability and vigor by using NIR spectroscopy [ 18 ]. Viability detection studies of the seeds of grains [ 19 , 20 , 21 , 22 , 23 , 24 ], vegetables [ 11 , 25 , 26 , 27 , 28 , 29 , 30 ], and fruit [ 31 , 32 , 33 ] have successfully used NIR spectroscopy or a related technique to discriminate nonviable from viable seeds with high prediction accuracies. To the best of our knowledge, no research has been published to date regarding the use of NIR spectroscopy for supersweet corn seed viability detection.…”

Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy

“…It is impossible to separate large volumes of nonviable seeds, either using human eyesight or low capability instruments [ 10 ]. The conventional methods for testing seed viability, the germination test and the tetrazolium test (TZ), are time consuming and destructive for the seed sample [ 11 ]. Sometimes the outer surface of a seed does not change but during the germination procedure, it cannot get germinated.…”

Identification of genetic variation in Brassica napus seeds for tocopherol content and composition using near‐infrared spectroscopy technique

“…Additionally, the NIRS technique has been successfully applied in Brassica species to predict seed viability (Lee et al, ; Shrestha, Deleuran, & Gislum, ), seed vigour (Kandpal, Lohumi, Kim, Kang, & Cho, ) and seed germination (Al‐Amery et al, ), as well as the seed oil content (Tkachuk, ), fibre fractions (Font et al, ; Stubbs & Kennedy, ; Wittkop, Snowdon, & Wolfgang Friedt, ), protein content (Daun, Clear, & Williams, ), and glucosinolate (Velasco & Becker, ), and chlorophyll concentrations (Oblath et al, ). The NIRS calibration for estimating the tocopherol content in sunflower seeds (Gotor, Berger, et al, ), alfalfa (González‐Martín, Hernández‐Hierro, Bustamante‐Rangel, & Barros‐Ferreiro, ) and olive oil (Cayuela & García, ) have been reported.…”