Non-destructive Determination of High Oleic Acid Content in Single Soybean Seeds by Near Infrared Reflectance Spectroscopy

Soybean [Glycine max (L.) Merr] with increased oleic acid is desirable to improve oxidative stability and functionality of soybean seed oil. Recently, soybean genotypes with high oleic acid (≥70 %) were developed by breeding programs. Efficient and effective identification of high oleic acid soybean genotypes using non-destructive near infrared reflectance (NIR) on whole seeds would greatly enhance progress in breeding programs. The objective of this study was to develop a calibration equation for NIR determination of high oleic acid from single soybean seeds. A total of 600 intact, single F₂ seeds were scanned by NIR. Spectral data were collected between 400 and 2,500 nm at 2 nm intervals. The relationship between NIR spectral patterns of each soybean seed and its oleic acid content was examined. The best predicted equations for oleic acid were selected on the basis of minimizing the standard error of cross-validation and increasing the coefficient of determination. Validation demonstrated that the equations for determining total oleic acid and over 50 % oleic acid content had high predictive ability (r ² = 0.91 and r ² = 0.99, respectively). To validate the newly developed equation, F₂ seeds from a different genetic background were tested. Again, high oleic acid from single soybean seeds was accurately predicted from various genetic backgrounds. Therefore, applying the calibration equations to NIR will be useful to rapidly and efficiently select high oleic acid soybean genotypes in breeding programs.     

Discriminant Analysis of Sunflower Seeds for Fatty Acid Composition Using NIR Spectroscopy

Near-infrared reflectance (NIR) spectroscopy data from sunflower seeds of genotypes differing in oleic and linoleic fatty acid contents were evaluated by discriminant analysis. A single husked seed was used for spectral analysis of each genotype. We applied two clustering strategies to discriminate the genotypes. First, we fit three calibration curves for high oleic × low oleic, high oleic × mid-oleic and mid-oleic × low oleic genotype-derived fatty acids. Next, we fit just one curve to all these three groups. All these curves were established using principal component analysis. The clustering precision was determined by d, the Mahalanobis distance between the genotype and the closest group, and D, the distance up to the next group. The spectral range used for calibration was 1,651–1,952 nm. The genotypes were well classified when d was close to one and the ratio D/d was close to or higher than two. The discriminant analysis allowed the classification of the high oleic and mid-oleic genotypes even though they had similar signals in gas chromatography (GC). Although both clustering strategies were similar, the first one allowed a better discrimination between the mid-oleic and low oleic genotypes.     

Genetic Improvement of the Fatty Acid Biosynthesis System to Alter the ω-6/ω-3 Ratio in the Soybean Seed

A high ω‐6/ω‐3 fatty acid ratio in the soybean seed adversely affects human health. The objective of the present study was to improve the fatty acid biosynthesis to reduce the ω‐6/ω‐3 ratio by combining the FAD2‐1A and FAD2‐1B mutant alleles with α‐linolenic acid (ω‐3) related alleles from wild soybean. The F₂ population comprising 2320 F_2:3 lines developed from S08‐14717 × PI 483463 cross exhibited significant variation for fatty acid components. Of these, 114 lines were advanced to the F_5:6 generation and genotyped for FAD2‐1A and FAD2‐1B alleles. The lines carrying mutant FAD2‐1A and FAD2‐1B alleles showed ~ 761 g kg^?1 oleic, and ~ 50 g kg^?1 linoleic acids, which reduced ω‐6/ω‐3 ratios to ~ 0.6. Conversely, the lines carrying FAD2‐1A or FAD2‐1B mutant alleles had 267 or 399 g kg^?1 oleic, 327 or 471 g kg^?1 linoleic, and 120 or 130 g kg^?1 α‐linolenic acids concentration, respectively. The elevated α‐linolenic acid resulted in the reduction of ω‐6/ω‐3 ratios in the range 2.5–3.9. The present study demonstrated that combining FAD2 mutant alleles with α‐linolenic acid‐related alleles from wild soybean reduces the seed ω‐6/ω‐3 ratio.     

Calibration of NIRS for the Estimation of Fatty Acids in Brassica Juncea

This study was done to test whether near infrared reflectance spectroscopy (NIRS) could be used as a quick substitute for measuring quality characteristics, i.e., a fatty acid profile over gas liquid chromatography. Near infrared reflectance spectroscopy is a multi‐trait technique. In the present study, the fatty acid profiles of seeds of 200 genotypes of Brassica juncea were analysed by gas liquid chromatography. Near infrared reflectance spectra of intact seeds of the same samples were collected (400–2500 nm) on a NIR systems Model 6500 spectrophotometer. The spectra were subjected to scanning, mathematical processing, and statistical analysis using Win ISI software. Data were scored to remove redundancy. Spectra were treated as outliers with H > 3.0 (global H) and similar samples with H < 0.6 (neighbourhood H). Cross validation of the spectra was done using a modified partial least‐square method to develop the calibration equation. The calibration equation had good R² values for oleic acid (R² = 0.91), linoleic acid (R² = 0.83), and erucic acid (R² = 0.88). The internal validation was done to test the goodness of fit of the developed equation. The equation provided reliable estimations of these traits in internal validation with R² values of 0.77, 0.68, 0.81 for the above quoted fatty acids, respectively. The external validation results also showed higher R² values for oleic acid (0.89), linoleic acid (0.69), and erucic acid (0.90). The equation was less reliable for linolenic acid, which had R² values of 0.53 in cross validation, 0.25 for internal validation, and 0.20 for external validation. The results indicated that NIRS could be used to rapidly determine oleic acid, linoleic acid, and erucic acid in intact B. juncea seeds.     

Toward increasing erucic acid content in oilseed rape (<Emphasis Type="Italic">Brassica napus</Emphasis> L.) through the combination with genes for high oleic acid

Erucic acid (22∶1) is a valuable renewable resource that has several applications in the oleochemical industry. High 22∶1 rapeseed (HEAR) contains around 50% 22∶1. For its technical use it is desirable to increase the 22∶1 content and to decrease the eicosenoic acid (20∶1), PUFA (18∶2+18∶3), and saturated FA (16∶0+18∶0) contents. In the present experiment, HEAR was crossed to high oleic acid rapeseed (ca. 85% 18∶1) with the hypothesis that a combination of the involved genes should lead to a reduced 18∶1 desaturation and to an increased availability of oleoyl-CoA, which should result in enhanced 22∶1 synthesis. A NIR spectroscopic calibration for 22∶1 was developed for single seeds, and the calibration was used to select, in a nondestructive manner, F₂ seeds high in 22∶1. Selected F₂ seeds were sown in the field and F₃ seeds were harvested. The results of the FA analysis showed recombinant genotypes with increased total monounsaturated FA (22∶1+20∶1+18∶1) of up to 89% and decreased PUFA (<8%) and saturated FA content (<3.5%). There was no significant difference in 22∶1 content, but a 3 to 5% increase in 20∶1 content was observed in comparison to the HEAR parental cv. Maplus. Results were confirmed following cultivation of selected plant material a second year in the field. The present study revealed that there are other biochemical limitations than the pool of available oleoyl-CoA that restrict FA elongation to 22∶1 in rapeseed. The generated high 22∶1 plant material with an increased 18∶1 content may be useful in further studies to identify these limitations.     

Determination of the Fatty Acid Composition in Tree Peony Seeds Using Near-Infrared Spectroscopy

Tree peonies (Paeonia Sect Moutan DC) are an emerging oil crop because of their high oil and α‐linolenic acid (ALA) content. This research was to investigate the potential use of near infrared reflectance spectroscopy (NIRS) for estimating the major fatty acids contents, such as palmitic acid (C16:0), oleic acid (C18:1), linoleic acid (C18:2) and linolenic acid (C18:3) in tree peonies. A total of 115 small seed samples and 447 single seeds were selected to calibrate the predictive models. NIRS absorbance spectra were collected using a Fourier transform near infrared (FT‐NIR) spectrometer for the small seed samples, and acousto‐optic tunable filter‐near infrared (AOTF‐NIR) for the single seed samples. Statistical analysis was performed with partial least squares (PLS). For the husked samples, C18:3, C18:1 and C18:2 showed the highest correlation coefficient of validation (R_v; = 0.9756, 0.9467 and 0.8485, respectively) and the ratio of performance to deviation (RPD; = 3.58, 1.91 and 2.17, respectively); however, C16:0 did not reach expectations (R_v = 0.7783, RPD = 1.32). For intact samples, C18:3 showed the best prediction (R_v = 0.9096, RPD = 3.14), followed by C18:2 (R_v = 0.8479, RPD = 1.96). The results for C18:1 were poor (R_v = 0.7237, RPD = 1.70). For single seeds, only the results for C18:3 (R = 0.9150, RPD = 1.73) were good in the husked seed samples. It was concluded that NIRS can be used to rapidly assess the content of the major fatty acids in small samples.     

Peanut FAD2 Genotype and Growing Location Interactions Significantly Affect the Level of Oleic Acid in Seeds

The level of oleic acid is an important parameter in determining seed nutritional quality and oil stability. The level of oleic acid in peanut is genetically controlled by a pair of fatty acid desaturase genes (FAD2A and FAD2B), but the environmental conditions of the production sites can also have a significant effect. To investigate the effect of gene and environment interaction, 45 accessions were grown at three locations for 2 years. Environmental data were collected; individual plants were genotyped with functional SNP markers from FAD2A and FAD2B; and seed level of oleic acid was determined by gas chromatography. Three FAD2A/FAD2B genotypes (448G/no insertion 442A, 448A/no insertion 442A, and 448A/insertion 442A) were identified and designated as G/W, A/W, and A/A, respectively. A/A genotype averaged the highest level of oleic acid (80.0%), followed by A/W (56.0%), and then G/W (40.7%). Analysis of gene and environment interaction revealed that oleic acid phenotype plasticity could be explained by the interaction of FAD2 genotype and photothermal time, which quantified environmental conditions. The A/W genotype was the most sensitive to photothermal time changes. The oleic acid plasticity revealed in this study would be useful for breeders, farmers, and product processors.     

Soybean Seed Quality Characteristics in Response to Indigenous Bradyrhizobium Inoculation and N Fertilization in Kashmir–Pakistan

The objective of this study was to quantify changes in soybean seed quality characteristics in response to indigenous Bradyrhizobium inoculation and N fertilization applied under field conditions during the years 2009 and 2010. Seven indigenous Bradyrhizobium isolates were isolated from the different locations under the foothills of great Himalayas Rawalakot Kashmir, Pakistan. The field isolates were compared to a reference strain (exotic) TAL102, three N fertilizer rates and to an un‐inoculated control. The seed oil content, fatty acid composition, seed N, P and K concentration and seed N, P and K uptake were quantified. Bradyrhizobium inoculation and N fertilization significantly increased oil content compared to the un‐inoculated control. The seed oil content varied between 16.2 and 21.5 %, highest in the seeds treated with indigenous Bradyrhizobium strains NR₂₂, NR₂₅ and NR₃₅, and mainly composed of linoleic acid (47 %), and oleic acid (24 %). Inoculation and N fertilization both decreased the saturated fatty acids (palmitic and stearic) and increased unsaturated fatty acids (linoleic acid and oleic acid). The mineral nutrient content of N, P, and K and their accumulation in seed increased by 2–3‐fold compared to the corresponding control. Indigenous Bradyrhizobium strains were able to generate the highest values for seed oil content (NR₂₂, NR₂₅, and NR₃₅), unsaturated fatty acids, i.e. linoleic acid and oleic acid (NR₂₅, and NR₃₅) and N, P and K uptake (NR₂₀, and NR₂₂). There were noticeable differences among the treatments in terms of essential fatty acid, oil, and mineral nutrient content. The study demonstrates the potential benefits of using indigenous Bradyrhizobium strains in order to achieve high quality soybean seeds that can be used as a balanced health product.     

Agronomic performance of high oleic,low linolenic soybean in Tennessee

Soybean oil hydrogenation alters the linolenic acid molecule to prevent the oil from becoming rancid, however, health reports have indicated trans-fat caused by hydrogenation, is not generally regarded as safe. Typical soybeans contain approximately 80 g kg⁻¹ to 120 g kg⁻¹ linolenic acid and 240 g kg⁻¹ of oleic acid. In an effort to accommodate the need for high-quality oil, the United Soybean Board introduced an industry standard for a high oleic acid greater than 750 g kg⁻¹ and linolenic acid less than 30 g kg⁻¹ oil. By combing mutations in the soybean plant at four loci, FAD2-1A and FAD2-1B, oleate desaturase genes and FAD3A and FAD3C, linoleate desaturase genes, and seed oil will not require hydrogenation to prevent oxidation and produce high-quality oil. In 2017 and 2018, a study comparing four near-isogenic lines across multiple Tennessee locations was performed to identify agronomic traits associated with mutations in FAD3A and FAD3C loci, while holding FAD2-1A and FAD2-1B constant in the mutant (high oleic) state. Soybean lines were assessed for yield and oil quality based on mutations at FAD2-1 and FAD3 loci. Variations of wild-type and mutant genotypes were compared at FAD3A and FAD3C loci. Analysis using a generalized linear mixed model in SAS 9.4, indicated no yield drag or other negative agronomic traits associated with the high oleic and low linolenic acid genotype. All four mutations of fad2-1A, fad2-1B, fad3A, and fad3C were determined as necessary to produce a soybean with the new industry standard (>750 g kg⁻¹ oleic and <30 g kg⁻¹ linolenic acid) in a maturity group-IV-Late cultivar for Tennessee growers.     

Simultaneous determination of molecular weight and crystallinity of recycled HDPE by infrared spectroscopy and multivariate calibration

An attempt of correlating molecular weight (M_n) of recycled high‐density polyethylene (HDPE) as measured by size‐exclusion chromatography (SEC) with diffuse reflectance near and mid‐infrared spectroscopy (NIR/MIR) was made by means of multivariate calibration. The spectral data obtained was also used to extract information about the degree of crystallinity of the recycled resin. Differential scanning calorimetry (DSC) was used as the reference method. Partial least‐squares (PLS) calibration was performed on the MIR and NIR spectral data for prediction of M_n. Four PC factors described fully the PLS models. The root‐mean‐square error of prediction (RMSEP) obtained with MIR data was 360, whereas a RMSEP of 470 was achieved when calibration was carried out on the diffuse reflectance NIR data. A PLS calibration for prediction of degree of crystallinity was performed on the NIR data in the 1100–1900‐nm region, but the ability of prediction of this model was poor. However a PLS calibration in the region 2000–2500 nm yield better results. Four PC factors explained the most of the variance in the spectra and the RMSEP was 0.4 wt %. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 85: 321–327, 2002     

Refractive Index and Density Measurements of Peanut Oil for Determining Oleic and Linoleic Acid Contents

Peanut seed are approximately 50 % oil of which >80 % is either oleic or linoleic acid. The oleic/linoleic acid (O/L) ratio largely influences oxidative stability and hence peanut shelf life. Traditional peanut seed have O/L ratios near 1.5–2.0; however, many new cultivars are “high oleic” with O/L ratios ≥9. During peanut seed handling, contamination among lots may occur. A cost effective method to rapidly differentiate peanut seed based on O/L ratio is needed across multiple segments of the industry, and measurements of oil density and oil refractive index (RI) were evaluated for this potential. Fatty acid profiles of samples from normal and high oleic seed lots, and blends of these oils, were determined by traditional gas chromatography analysis and this data compared to corresponding oil density and RI measurements. Oleic acid content, linoleic acid content, density and RI were all strongly linearly (R ² > 0.98) correlated for oil blends with O/L ratios from ~2 to 16. Threshold density or RI values both showed excellent potential for rapidly differentiating samples with an O/L ≥ 9; however, sample volume requirements preclude density measurements on single seed.     

Field Performance of High Oleic Soybeans with Mutant FAD2-1A and FAD2-1B Genes in Tennessee

Soybean [Glycine max (L.) Merr.] oil with high oleic acid (>75%) has increased oxidative stability and health benefits that are valuable for food, fuel, and industrial products. It has been determined that two naturally occurring mutations in genes FAD2-1A and FAD2-1B can combine to produce high oleic soybeans. The objective of this study was to test the effect of these mutant alleles on seed yield and oil and protein concentration. Molecular markers assisted in the creation of a population of 48 BC₃F_2:4 lines (93.75% expected genome commonality). Each line was classified into one of four genotypic groups where both FAD2-1A and FAD2-1B genes were either homozygous wild type or mutant, respectively. Twelve lines for each genotypic group were evaluated in three replications at six locations across Tennessee. There was no seed yield difference between the high oleic genotypic group and the other groups (P < 0.05). On the other hand, there were differences in fatty acid profiles and oil and protein concentrations. In combination, the mutant FAD2-1A and FAD2-1B alleles produced a mean of 803.1 g kg⁻¹ oleic acid. This is, on average, approximately 500 g kg⁻¹ more oleic acid compared to soybean lines with only one mutant FAD2-1 allele. The high oleic double mutant group had more total oil (228.0 g kg⁻¹) and protein (401.0 g kg⁻¹) compared to all other genotypic groups (P < 0.05). Overall, this specific combination of mutant FAD2-1A and FAD2-1B alleles appears to generate conventional high oleic soybeans without a yield drag.     

Rapid Nondestructive Analysis of Intact Canola Seeds Using a Handheld Near-Infrared Spectrometer

The near-infrared (NIR) models for canola quality were developed with samples from Canadian canola seeds harvested in 2016 and 2017. All calibration models were first tested on a 2017 external validation sample set. The handheld NIR spectrometer used in this study has a limited wavelength range 908.1–1676.2 nm; however, the validation results showed that it could be used to predict several important parameters that defined canola seed quality. Final testing was performed using calibration models with the least number of factors on a second external canola validation sample set (2018 harvest). Some calibration models showed excellent stability and predictive powers with R²_val values of 0.94–0.99 (i.e., oil, protein, oleic acid and iodine value) and low SEPs for both external validation sample sets. The α-linolenic acid model had an R²_val of 0.93 when applied to the 2017 external validation set, the correlation fell slightly to 0.88 when applied to the 2018 external validation sample set, potentially indicating a slight instability in the model. The prediction model for total glucosinolate was not very good, but still could be used to segregate the samples into low or high glucosinolate samples. Finally, the predictive models for chlorophyll and total saturates were unusable. The chlorophyll model was very unstable, likely due to the instrument's limited wavelength range.     

Commercial Runner peanut cultivars in the USA: Fatty acid composition

Though peanuts are classified as a high‐fat food, they possess good proportions of fatty acids deemed as heart healthy. The fatty acid compositions of Runner peanuts were determined for commercially grown cultivars over two recent crop years. GC‐FID analyses revealed that the fatty acid levels for Runner peanuts were significantly (p <0.05) different among the normal, mid‐, and high‐oleic peanuts investigated. Oleic acid‐to‐linoleic acid (O/L) ratios were found to be 1.93 ± 0.30, 5.25 ± 1.12, and 16.9 ± 5.20 for normal, mid‐, and high‐oleic peanut lipids, respectively. Tamrun OL01 possessed a fatty acid profile characteristic of a mid‐oleic cultivar. From the sample set (n = 151), mean % weights for oleic acid and linoleic acid were 52.09 ± 2.84 and 27.38 ± 2.60 in normal, 69.33 ± 3.18 and 13.66 ± 2.35 in mid‐oleic, and 78.45 ± 2.05 and 5.11 ± 1.67 in high‐oleic peanuts, respectively. Cluster analysis segregated cultivars based on fatty acids into normal, mid‐, and high‐oleic groups. Factorial analysis revealed that cultivar effects were significant (p <0.01) for all fatty acids, except for lignoceric acid. Cultivar effects were also highly significant (p <0.001) for O/L, IV, unsaturated/saturated fatty acid (U/S) ratio, and % saturation. Significant crop year effects were shown for palmitic, oleic, arachidic, gondoic, and lignoceric acids, as well as U/S ratio and % saturation. Healthy unsaturated fats accounted for ?80% in all crop years and cultivars.     

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

A rapid and efficient method for oil constituent estimation in intact sesame seeds was developed through near‐infrared reflectance spectroscopy (NIRS) and was used to evaluate a sesame germplasm collection conserved in China. A total of 342 samples were scanned by reflectance NIR in a range of 950–1650 nm, and the reference values for oil content and fatty acid (FA) profiles were measured by Soxhlet and gas chromatograph methods. Useful chemometric models were developed using partial least squares regression with full cross‐validation. The equations had low standard errors of cross‐validation, and high coefficient of determination of cross‐validation (R_c²) values (>0.8) except for stearic acid (0.794). In external validation, r² values of oil and FA composition equations ranged from 0.815 (arachidonic acid) to 0.877 (linoleic acid). The relative predictive determinant (RPD_v) values for all equations were more than 2.0. The whole‐seed NIR spectroscopy equations for oil content and FA profiles can be used for sesame seed quality rapid evaluation. 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.     

On the kinetics of the autoxidation of fats. II. Monounsaturated substrates

The autoxidation of methyl oleate and oleic acid shows some differences as compared to the autoxidation of linoleate,e.g., the formation of water at an early stage. Linearization of experimental data on the autoxidation to high oxidation degrees of methyl oleate and other monounsaturated substrates shows that the rate equations previously derived for methyl linoleate in the range of 1–25% oxidation are valid, provided the correct expression for the remaining unreacted substrate is used. With monounsaturated substrates, part of the oxygen is consumed by a secondary oxidation reaction almost from the beginning, and only a certain constant fraction α of the total O₂ consumption is consumed in hydroperoxide formation. The fraction α is different for methyl oleate, oleyl alcohol, oleic acid andcis 9-octadecene, but the rate constant for the hydroperoxide formation is the same for all of them when experimental conditions are the same. The main difference between oleate and linoleate autoxidation is the much faster decomposition of the oleate hydroperoxides relative to their slow formation.     

C18‐unsaturated branched‐chain fatty acid isomers: Characterization and physical properties

Iso‐oleic acid is a mixture of C₁₈‐unsaturated branched‐chain fatty acid isomers with a methyl group on various positions of the alkyl chain, which is the product of the skeletal isomerization reaction of oleic acid and is the intermediate used to make isostearic acid (C₁₈‐saturated branched‐chain fatty acid isomers). Methyl iso‐oleate, a mixture of C₁₈‐unsaturated branched‐chain fatty acid methyl ester isomers, is obtained via acid catalyzed esterification of iso‐oleic acid with methanol. The branched‐chain materials are liquid at room temperature and their “oiliness” property makes them an attractive candidate for the lubricant industry. In this paper, we report characterization of these branched‐chain materials using comprehensive two‐dimensional GC with time‐of‐flight mass spectrometry (GC × GC/TOF‐MS) and their physical and lubricity properties using tribology measurements.     

Improved Estimation of Oil,Linoleic and Oleic Acid and Seed Hull Fractions in Safflower by NIRS

Near-infrared reflectance spectroscopy (NIRS) of intact seeds allows the non-destructive estimation of seed quality parameters which is highly desirable in plant breeding. Together with yield, oil content and quality, a main aim in safflower (Carthamus tinctorius L.) breeding is the selection of genotypes with a low percentage of empty seeds even under cooler climates. We developed NIRS calibrations for seed oil content, oleic and linoleic acid content, the seed hull fraction and the percentage of empty seeds using seed meal and intact seeds. For the different calibrations 108–534 samples from a safflower breeding program with lines adapted to German conditions, were analyzed with reference analyses (Soxhlet, gas chromatography), and scanned by NIRS as intact seeds and seed meal. Calibration equations were developed and tested through cross validation. The coefficient of determination of the calibration (R ²) for intact seeds ranged from 0.91(oil content), 0.90 (seed hull fraction), 0.84 (empty seeds), 0.73 (linoleic acid) to 0.68 (oleic acid). The coefficient of determination of the cross validation was higher for seed meal than for intact seeds except for the parameter seed hull fraction. The results show that NIRS calibrations are applicable in safflower breeding programs for a fast screening.     

NIR reflectance spectroscopic analysis of the FA composition in sesame (<Emphasis Type="Italic">Sesamum indicum</Emphasis> L.) seeds

The feasibility of using NIR reflectance spectroscopy to estimate the FA composition of sesame seed (Sesamum indicum L.) samples from the National Institute of Crop Science of Japan and from Myanmar was examined. Multiple linear-regression analyses of NIR sepctral data and chemical data for whole seeds were carried out to develop calibration equations for predicting the proportion of each of the four major FA in sesame seeds from the total FA composition. The SE of prediction (SEP) was 0.616% for palmitic acid, 0.348% for stearic acid, 1.051% for oleic acid, and 0.826% for linoleic acid. This NIR method provides a simple, rapid, and nondestructive means of estimating the FA composition of sesame seeds for breeding selection, regardless of the color of the sesame seed coats. However, the proportions of palmitic and stearic acids could not be reliably measured because their SEP were almost as great as the SD of their concentrations in the set of prediction samples. The relationship between NIR spectral patterns and the FA composition of sesame seeds also was examined. The correlation coefficient calculated for the standardized second-derivative NIR spectral readings at 1708 nm and the percentages of linoleic acid was −0.830. A rough estimate of the proportion of linoleic acid in the total FA composition of sesame seeds could be obtained even with single sesame seeds, except for those with a black coat, based on NIR spectral pattern analysis using the wavelength assignments of linoleic acid.