Nondestructive Near-Infrared Reflectance Spectroscopy of Sesame (Sesamum indicum L.) Components by Single Seed Analysis

Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near‐Infrared Reflectance Spectroscopy

“…Though higher R V 2 values for palmitic acid, oleic acid, linoleic acid were obtained by Ha et al [21], the R V 2 for stearic acid obtained in the present study were better than Ha et al [21]. The R V 2 for oil, stearic acid, palmitic acid, linoleic acid obtained in the present study were better than those reported earlier by Sato et al [5,10,11]. Furthermore, the linolenic acid and arachidonic acid could be reliably measured in the present study.…”

“…Sato et al [5] reported that the R V 2 and SEP values for palmitic acid, stearic acid, oleic acid and linoleic acid in the total FA composition obtained by chemical analysis and values estimated by NIRS analysis were 0.489 and 0.616 %, 0.721 and 0.348 %, 0.790 and 1.051 %, and 0.920 and 0.826 %, respectively. In another study, the R V 2 and SEP values for oil (0.821 and 1.486 %), palmitic acid (0.121 and 0.766 %), stearic acid (0.622 and 0.391 %), oleic acid (0.699 and 1.27 %) and linoleic acid (0.728 and 1.455 %) using a single seed analysis were reported by Sato et al [11]. Though higher R V 2 values for palmitic acid, oleic acid, linoleic acid were obtained by Ha et al [21], the R V 2 for stearic acid obtained in the present study were better than Ha et al [21].…”

“…Furthermore, the linolenic acid and arachidonic acid could be reliably measured in the present study. In the earlier studies, only a smaller number of samples (n = 101, Ha et al; n = 55, Sato et al) [5,10,11,21] with the selected wavelength were used to generate these prediction models. Chen et al [22] reported that the NIR spectrum does not only depend on the chemical composition of samples but also on the physical characteristics of the samples, which are usually observed as the background and noise in the spectrum.…”

“…The background information of the 4399 germplasm resources and accessions with high linoleic acid content identified in this study should be useful for developing new sesame cultivars with desirable FA compositions in future breeding programs. application of NIRS to estimate sesame seed oil content and FA profile has already been reported [5,10,11], the limited sample number (n = 82) restricted the suitability of these models to predict sesame properties over cultivars, locations, and years. Therefore, the need exists to develop new prediction models to apply to our sesame breeding programs and genetic studies.…”

Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

“…Beyond predicting water and chlorophyll contents, it is also possible to identify composition of single seeds [10], differences and similarities between plants of same species [11], nutritional levels of plants [12], senescence stages in flowers [13], soil properties related to mineral deficiency in plants [14], and bruises caused by impact or mechanical damage in fruits [15] based on spectral measurements.…”