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Article

Comparative Analysis of the Chemical Composition of Hemp and Linseed Varieties as Key Industrial Commodities

1
Department of Nutrition Physiology and Animal Product Quality, Institute of Animal Science, Přátelství 815, 104 00 Prague-Uhříněves, Czech Republic
2
Department of Legumes and Technical Crops, Agritec Plant Research Ltd., Zemědělská 2520/16, 787 01 Šumperk, Czech Republic
*
Author to whom correspondence should be addressed.
Foods 2026, 15(12), 2145; https://doi.org/10.3390/foods15122145 (registering DOI)
Submission received: 7 May 2026 / Revised: 10 June 2026 / Accepted: 11 June 2026 / Published: 14 June 2026
(This article belongs to the Section Food Nutrition)

Abstract

Hemp and linseed are nutritionally valuable commodities that exhibit considerable varietal differences in composition. Nutrient composition was evaluated in 12 hemp and 11 linseed varieties, including commercially cultivated varieties from the EU Common Catalogue and newly bred lines, to assess varietal variability. Field experiments were conducted under uniform agronomic conditions in the Czech Republic during a single growing season using field-block samples. Analyses included proximate composition (dry matter, crude protein, fat, fiber, ash), fatty acid and amino acid profiles, carotenoids, vitamins, and cannabinoid content. Statistical evaluation was performed using a General Linear Model with Duncan’s multiple range test (p < 0.05). Significant differences were observed across most parameters, indicating substantial inter-varietal variability under the experimental conditions. Fat content ranged from approximately 200 to 377 g/kg in both oilseeds, with lipids dominated by polyunsaturated fatty acids, particularly linoleic (n-6) and α-linolenic (n-3) acids. Hemp and linseed show potential as alternative plant protein sources in animal nutrition, but further digestibility and feeding studies are needed to confirm their suitability as partial soybean meal substitutes. Varietal selection may contribute to improved nutritional quality while influencing levels of undesirable constituents such as Δ9-THC in hemp.

1. Introduction

Hemp seed (Cannabis sativa L.) and linseed (Linum usitatissimum L.) are important agricultural commodities and valuable sources of nutrients with considerable potential in both human and animal nutrition. Hemp seeds typically contain approximately 30% lipids, 25% protein, and substantial amounts of dietary fiber, vitamins, and minerals [1]. Lipids represent the dominant fraction, with more than 80% polyunsaturated fatty acids (PUFAs) and a favorable n-6:n-3 ratio of approximately 3:1. In addition, hemp seeds contain γ-tocopherol, sterols (including β-sitosterol), and a wide range of bioactive compounds such as polyphenols, terpenoids, and trace amounts of cannabinoids, all of which contribute to antioxidant and anti-inflammatory properties [2,3]. Similarly, linseed is characterized by a high nutritional value, containing approximately 40% lipids, 20% protein, 10–20% dietary fiber, and around 4% ash [4]. It is one of the richest plant sources of n-3 fatty acids, particularly α-linolenic acid (ALA), which is associated with beneficial effects on cardiovascular and metabolic health [5]. Linseed also provides significant amounts of dietary fiber and lignans, which exhibit antioxidant activity and have been linked to protective effects against chronic diseases [6,7]. Due to their favorable nutritional profiles, both hemp seed and linseed have been widely incorporated into animal nutrition. Their inclusion in feed mixtures has been associated with improvements in production parameters, such as egg yield and quality, enhanced fatty acid profiles of animal products, reduced cholesterol levels, and improved nutrient [8,9,10,11]. Additional benefits include improved bone strength in laying hens [10,12].
Despite these well-documented nutritional benefits, the reported chemical composition of hemp and linseed is typically presented as average values, although it is strongly influenced by multiple factors, including environmental conditions, agronomic practices, and harvest timing. Among these, genotype (variety) is considered an important determinant of nutrient composition. However, most available studies focus on individual crops or are conducted under varying environmental conditions, which limits direct comparability and complicates the interpretation of varietal effects. Although studies such as that by Arango et al. [13] have evaluated a defined set of compositional parameters in hemp seed varieties, including proximate composition, basic fatty acid profile, amino acid profile, mineral content, and selected cannabinoids, a detailed, comprehensive and systematic comparison of both hemp and linseed varieties grown under similar environmental conditions is still lacking. Consequently, a research gap exists in the comparative evaluation of varietal differences in nutrient composition across these two nutritionally important oilseed crops under comparable growing conditions, which represents an important step toward identifying genotype-associated differences.
Therefore, the primary objective of this study was to evaluate inter-varietal differences in nutrient composition among commonly cultivated hemp and linseed varieties, most of which are included in the EU Common Catalogue of Varieties of Agricultural Plant Species and newly bred lines. The experiment was conducted under standardized field conditions at two locations in the Czech Republic, reducing but not eliminating the influence of environmental variability. A total of 12 hemp and 11 linseed varieties were analyzed in duplicates (independent biological replicates), allowing for a systematic comparison among varieties. The working hypothesis of this study was that (i) significant differences exist in nutrient composition among individual hemp and linseed varieties, and (ii) such differences represent varietal variability observed under the specific conditions of the present study and are statistically significant at p < 0.05. Furthermore, it was hypothesized that this variability may provide a basis for the targeted selection of varieties with improved nutritional profiles, pending validation across multiple growing seasons and environments. Hemp seed and linseed were selected for this study because both are recognized as valuable oilseed crops with similar applications in animal nutrition, where they are used as sources of protein, oil, and bioactive compounds. Previous studies have frequently evaluated these commodities within the same nutritional context, and they may be used either in combination or as partial alternatives to one another in feed formulations aimed at improving the fatty acid profile and nutritional quality of animal products. The analytical approach included comprehensive characterization of proximate composition (dry matter, crude protein, fat, dietary fiber, and ash), fatty acid profiles, amino acid composition, carotenoids, vitamins, and a broad spectrum of cannabinoids. This multi-level analysis enabled a detailed assessment of both nutritional and bioactive components across all evaluated varieties. The novelty of this study lies in the direct, side-by-side comparison of a relatively large set of commercially relevant hemp and linseed varieties grown under similar environmental conditions, enabling a more systematic assessment of varietal differences. In addition, this study provides an integrated dataset combining macronutrient composition with detailed biochemical profiling within a single experimental framework. Such a holistic and comparative approach to two major oilseed crops remains underrepresented in the current literature. From an applied perspective, the results of this study provide compositional insights that may support varietal selection in animal nutrition and suggest a potential for further evaluation of these crops as alternative plant protein sources, including their possible use in partial replacement of conventional protein sources such as soybean meal, pending confirmation by digestibility and feeding studies. Moreover, the findings allow the preliminary identification of varieties exhibiting more favorable compositional profiles under the studied conditions, including higher levels of desirable nutrients (e.g., PUFAs such as linoleic acid and ALA, essential amino acids such as lysine, methionine, and leucine, and antioxidant compounds such as tocopherols and carotenoids) and lower levels of undesirable compounds (e.g., Δ8-THC, Δ9-THC, or Δ9-THCA). However, further multi-year and multi-location evaluations are required to confirm the stability of these traits and to better distinguish the contributions of genotype and environmental factors.

2. Materials and Methods

2.1. Analysis of Hemp Seed and Linseed Varieties

Twelve hemp seed varieties and eleven linseed varieties (Table 1) were selected for comparative analysis. All hemp seed and linseed varieties, with the exception of the Spring, Winter, and Bethune varieties, are registered in the EU and listed in the Common Catalog of Varieties of Agricultural Plant Species. The Spring (genotype AGT 1/2020) and Winter (genotype AGT 2/2020) varieties were bred by Agritec Plant Research Ltd. (Šumperk, Czech Republic).
All analyzed varieties were cultivated and harvested in 2021 under recorded climatic conditions (Table 2, Figure 1) by Agritec Plant Research s.r.o. at the Šumperk site (49°58′34.1″ N, 16°57′55.3″ E) and Vikýřovice ’U letiště‘ site (49°57′59.10″ N, 17°00′48.28″ E). All varieties were grown at both locations, allowing the assessment of varietal differences, location effects, and their interaction under the specific environmental conditions of the 2021 growing season. The Šumperk study area is characterized by a moderately warm climate, with an average annual precipitation of 692 mm and a mean annual temperature of 7.25 °C. Precipitation occurs most frequently during the months of June, July, and August. The site is dominated by pseudogley soils, occurring mainly on gentle slopes with omnidirectional exposure and a total skeletal content of up to 10%. The soils are deep, located in a moderately warm and moderately humid climatic region, and are characterized by low productivity. The prevailing soil type is gleyic chernozem (HNg).
The Šumperk experimental site is characterized by loamy soil with a gleyed soil-forming substrate. The soil is well workable and moderately supplied with nutrients, with a pH of 6.5 and a medium humus content. The average topsoil depth is approximately 28 cm. The K:Mg ratio is favorable, and no magnesium nutrition deficiencies are expected. The Vikýřovice experimental site, known as ‘U letiště’ (49°57′59.10″ N, 17°00′48.28″ E), is classified under the evaluated soil-ecological unit 7.43.00. According to Decree No. 48/2011 Coll. on the determination of agricultural land protection classes, this site falls within Protection Class II of the Agricultural Land Fund. The climatic region is classified as Region 7-moderately warm and humid (MT4). The dominant soil types are gleyic luvic chernozem (HNlg) and gleyic luvisol (LUg). The results of the agrochemical soil analysis are presented in Table 3.
All hemp and linseed varieties were cultivated at both experimental locations. The field experiment was established using a uniform plot layout for all varieties at both locations. Each variety was grown in plots consisting of three rows, each 10 m in length, with a row spacing of 0.50 m. Standard agronomic practices, including soil preparation, fertilization, sowing, weed control, and crop management, were applied according to the methodology routinely used by Agritec Plant Research s.r.o. For biological replication, two independent biological samples were obtained for each variety at each location. Each biological replicate consisted of a composite (pooled) seed sample prepared independently from plant material harvested from separate sections of the experimental plot. These samples were processed independently throughout the analytical procedure and were treated as biological replicates for statistical evaluation. Harvesting was performed at full seed maturity, at crop-specific maturity stages defined for each variety (Table 1). Following harvest, seeds from each biological replicate were cleaned, homogenized, and prepared for laboratory analyses. Each biological replicate was analyzed independently, and all analytical determinations were performed in duplicate (technical replicates). Mean values from technical replicates were used for statistical analysis. The experimental design included two locations and two biological replicates per variety. Data from both locations were included in the statistical analyses, and varietal differences were evaluated across locations.

2.2. Sample Preparation

All samples were stored at low temperature (4 °C) in a refrigerator. Whole hemp or linseeds (including the hull) from individual varieties were ground prior to analysis using laboratory grinders specific to each method, namely the Retsch GM200 and Retsch MM400 (Retsch GmbH, Haan-Gruiten, Germany).

2.3. Chemical Composition Analysis

Dry matter, crude protein, fat, dietary fiber, and ash (g/kg) were analyzed according to international Association of Official Analytical Chemists (AOAC) standard procedures [14]. Dry matter, crude protein, crude fat, crude fiber, and ash contents were determined according to AOAC Official Methods 934.01, 984.13, 920.39, 978.10, and 942.05, respectively. Data were expressed as g/kg fresh weight. The dry matter of the diets was determined by drying to constant weight at 105 °C in an oven (Memmert ULM 500; Memmert, Schwa-bach, Germany). The crude protein content was measured using a Kjeltec Auto 1030 in-strument (Tecator, Höganäs, Sweden). The fat content was determined upon extraction with petroleum ether using a 1045 Soxtec Tecator extraction system (Tecator). Crude fiber content was measured using a Fibertec 2010 fiber analyzer (Tecator, Höganäs, Sweden). The nitrogen-free extract (NFE, g/kg) was calculated using the following Formula (1):
NFE (g/kg) = (100 − (moisture + crude protein + fat + dietary fiber + ash)) × 10

2.4. Fatty Acid Composition

The fatty acid composition of the hemp seeds and linseed was determined following the extraction of total lipids using chloroform–methanol [15]. The alkaline trans-methylation of the fatty acids was performed as described by Raes et al. [16]. Gas chromatographic analysis of the fatty acid methyl esters (FAMEs) was performed using an HP 6890 chromatograph (Agilent Technologies, Inc., Santa Clara, CA, USA) equipped with a 60 m DB-23 capillary column (150–230 °C) and a flame ionization detector. Split injections were performed using an Agilent autosampler, with 1 μL FAME samples in hexane injected at a 1:40 split ratio. Separation was achieved using the following column temperature program: initially, the column was held at 60 °C for 7 min, then ramped at 20 °C/min to 110 °C and held for 4 min, followed by a ramp at 10 °C/min to 120 °C and held for 4 min; then 15 °C/min to 170 °C; 2 °C/min to 210 °C and held for 13.5 min; and finally 40 °C/min to 230 °C and held for 7 min. Fatty acids were identified by comparing their retention times with those of reference standards PUFA No.1 (cat. no. 47033), PUFA No.2 (cat. no. 47015-U), PUFA No.3 (cat. no. 47085-U), and a 37-component FAME mixture (Supelco, Bellefonte, PA, USA). For quantification, nonadecanoic acid (C19:0; cat. no. N5252, Sigma-Aldrich, Prague, Czech Republic) was used as an internal standard. The fatty acid composition was expressed as mg/kg or g/kg fresh weight.

2.5. Amino Acid Composition

Amino acids were determined according to AOAC [14] Official Method 982.30 with minor modifications. The amino acids were determined by hydrolyzing the proteins in 6 M HCl at 110 °C for 23 h. Sulfur-containing amino acids were oxidized with peroxyformic acid for 16 h prior to hydrolysis. After evaporation, the hydrolysate was dissolved in a citrate buffer (pH 2.2) and diluted to an appropriate concentration. Amino acids were analyzed using an Ingos AAA 500 device (Ingos s.r.o., Prague, Czech Republic). The analysis involved separation on an ion-exchange column with citrate buffers, postcolumn derivatization with ninhydrin reagent, and spectrophotometric detection at 440 and 570 nm. Identification and quantification of amino acids were performed using a certified amino acid standard mixture as an external standard. Quantification was based on individual calibration curves established for each amino acid from standard solutions of known concentrations. Chromatograms were evaluated by comparison of retention times and peak areas with those of the external standards. The amino acid composition was expressed as g/kg fresh weight. Tryptophan was not included in the amino acid analysis due to its well-known instability under conventional acid hydrolysis conditions, during which it is readily degraded and therefore cannot be reliably quantified using the applied analytical procedure.

2.6. Analysis of Carotenoids and Vitamins

The lutein and zeaxanthin contents were analyzed using a high-performance liquid chromatography (HPLC) system (VP series; Shimadzu, Kyoto, Japan) according to a modified version of the method proposed by Cui et al. [17]. The HPLC system was equipped with a diode array detector (DAD) and a YMC C30 column (250 × 4.6 mm, 5 µm; YMC Co., Ltd., Kyoto, Japan). The composition of the mobile phase was dichloromethane:acetonitrile:methanol (20:30:50, v/v/v), the flow rate 1 mL/min and column temperature 30 °C. The sample was saponified with 60% aqueous KOH and extracted with n-hexane:ethyl ether:cyclohexane (40:40:20, v/v/v). The detection wavelength was 446 nm. The concentrations of α-tocopherol, γ-tocopherol, δ-tocopherol, and β-carotene (mg/kg) in the analyzed seeds were determined using the same HPLC system (VP series; Shimadzu, Kyoto, Japan) equipped with a diode array detector (HPLC-DAD) and Phenomenex Synergi 4 μm Fusion-RP 80 Å column (150 × 4.6 mm, 4 μm; P/No. 00F-4424-E0, Torrance, CA, USA) using methanol as the mobile phase after alkaline saponification with 60% aqueous KOH and extraction with diethyl ether, according to the European standards (European Committee for Standardisation: EN 12822-1, EN 12823-1, and EN 12823-2) [18,19,20]. The method employed a gradient flow program, where the solvent composition remained constant and the flow rate was adjusted from 0.6 mL/min to 1.5 mL/min and back to 0.6 mL/min. A 50 μL sample injection volume was used. Quantification was performed using individual calibration curves for each compound. Detection wavelengths (λ) were set as 325 nm for retinol, 292 nm for α-tocopherol, 296 nm for γ-tocopherol, 296 nm for δ-tocopherol, and 450 nm for β-carotene. The concentrations of carotenoids and vitamins were expressed as mg/kg fresh weight.

2.7. Analysis of Cannabinoids

All analytical procedures were carried out exactly as described in previous authors’ published methods [21,22], which provide complete chromatographic and instrumental conditions. Cannabinoids were analyzed using the method proposed by Taubner and Czauderna [22] for the quantification of 16 neutral and acidic forms of cannabinoids in various biological materials by reversed-phase C18 HPLC (RP-C18-HPLC). The compounds included Δ9-tetrahydrocannabinol (Δ9-THC), Δ9-tetrahydrocannabinolic acid (Δ9-THCA), Δ8-tetrahydrocannabinol (Δ8-THC), cannabidiol (CBD), cannabidiolic acid (CBDA), cannabinol (CBN), cannabinolic acid (CBNA), cannabigerol (CBG), cannabigerolic acid (CBGA), cannabichromene (CBC), cannabichromenic acid (CBCA), Δ9-tetrahydrocannabivarin (THCV), Δ9-tetrahydrocannabivarinic acid (THCVA), cannabidivarin (CBDV), cannabidivarinic acid (CBDVA), and cannabicyclol (CBL). All ground samples were extracted using methanol and n-hexane in four sequential extraction steps. The extracts were injected into the HPLC system on C18 columns with gradient elution and a diode array detector (DAD). To identify and verify analyzed cannabinoids in linseed, the method of Czauderna et al. [21], which is based on the GC–MS determination of cannabinoids, was used. The concentrations of cannabinoids in the hemp seed and linseed samples were expressed as mg/kg fresh weight.

2.8. Statistical Analysis

The data were analyzed in duplicate using analysis of variance (ANOVA) within the general linear model (GLM) framework in SAS software version 9.3 (SAS Institute Inc., Cary, NC, USA) [23]. The statistical model included the fixed effects of variety and location, as well as their interaction (variety × location), according to the following model (2):
y = μ + V + L + (V × L) + ε
where y is the observed trait, μ is the overall mean, V represents the effect of variety, L represents the effect of location, V × L represents the interaction between variety and location, and ε is the random error term.
When the interaction effect was not statistically significant, it was removed from the final model and only the main effects were interpreted. Differences among varieties were evaluated using Duncan’s multiple range test applied to model-adjusted means. This post hoc procedure was selected as it is widely used in agricultural and plant breeding studies for genotype comparison under field experimental conditions, where the objective is to detect meaningful biological differences among a relatively large number of varieties. Duncan’s test provides higher sensitivity in detecting differences among means compared to more conservative procedures and is therefore frequently applied in varietal screening experiments. Although Duncan’s test is less conservative with respect to control of type I error in multiple comparisons, its use is considered appropriate in exploratory agronomic studies focused on identifying varietal differences under controlled experimental conditions. The results are presented as mean ± standard error of the mean (SEM). Statistical significance was declared at p < 0.05.

3. Results and Discussion

3.1. Proximate Composition of Hemp Seed and Linseed

The basic chemical compositions of different varieties of hemp seed (Table 4) and linseed (Table 5) were evaluated.
The dry matter content of both matrices exceeded 900 g/kg, with an average of approximately 950 g/kg, indicating a low moisture content and consequently good storage stability of both oilseeds.
The crude protein content averages 241 g/kg in hemp seed and 199 g/kg in linseed, indicating that hemp represents a richer protein source under the studied conditions. From a nutritional perspective, this difference may be relevant for plant-based diet formulation, where protein density is a limiting factor. The higher protein level in hemp is consistent with its role as a source of highly digestible storage proteins.
Substantial differences were observed in fat content between hemp and linseed, as well as among individual varieties. In hemp seed, fat content ranged from 200 g/kg in the Białobrzeskie variety to 298 g/kg in Dioica 88, with a mean value of 255 g/kg. In contrast, linseed exhibited significantly higher fat content, averaging 342 g/kg, ranging from 289 g/kg (Astella) to 377 g/kg (Koral). These differences are consistent with previously reported variability in oil content and fatty acid composition across genotypes [24]. From a technological and economic perspective, this higher lipid content may contribute to increased oil yield, making linseed more suitable for oil production and lipid-based nutritional applications. Conversely, the use of hemp seed for such applications requires targeted selection of high-oil cultivars.
Total dietary fiber content was markedly higher in hemp seed (237 g/kg) than in linseed (154 g/kg), representing an average difference of approximately 100 g/kg. This elevated fiber level in hemp may have nutritional relevance, particularly in terms of gastrointestinal health, glycemic response modulation, and satiety. Among linseed varieties, fiber ranged from 92 g/kg (Raciol) to 190 g/kg (Bukoz); however, even the highest value remained lower than that of the lowest hemp variety (Futura 75), highlighting a clear compositional difference under the studied conditions.
Total mineral contents were comparable (47.1 g/kg in hemp and 37.0 g/kg in linseed), differing by approximately one percentage point, suggesting similar contributions to micronutrient intake.
NFE accounted for approximately 200 g/kg in both matrices. Overall, the compositional profiles (Table 4 and Table 5) fall within ranges reported in the literature [1,4], with only minor deviations. Importantly, the observed inter-varietal variability provides preliminary evidence supporting further evaluation of breeding and selection strategies under multi-year and multi-location conditions to confirm the stability of the observed nutritional traits.

3.2. Fatty Acid Composition and Nutritional Implications

The fatty acid profiles of hemp seed and linseed were comprehensively analyzed, including saturated fatty acids (SFAs; Table 6 and Table 7), unsaturated fatty acids (Table 8 and Table 9), and total fatty acid group distributions (Table 10 and Table 11).
PUFAs predominated in both seed types, indicating their high nutritional value under the studied conditions. Linoleic acid (C18:2, n-6) was the major fatty acid in both matrices, with an average content of 171.8 g/kg in hemp seed and approximately 90.7 g/kg in linseed. While hemp exhibited a relatively narrow variability range (133.5–225.7 g/kg), linseed showed substantially broader variation (57.5–233.1 g/kg), suggesting stronger varietal influence on fatty acid composition. ALA (C18:3, n-3), a physiologically essential n-3 fatty acid, was present at moderate levels in hemp (average 50.2 g/kg) but was markedly higher in linseed (average 251.9 g/kg). This difference is nutritionally critical, as ALA serves as a precursor for long-chain n-3 fatty acids involved in anti-inflammatory pathways and cardiovascular protection [25,26]. Extreme variability was observed among linseed varieties, ranging from 6.7 g/kg in Agriol to 344.0 g/kg in Bukoz, which may reflect differences in breeding history and selection. Agriol represents a low-ALA genotype, whereas Agram and Raciol are medium-level varieties, suggesting that fatty acid composition is a strongly varietal-influenced trait under studied conditions.
The balance between n-6 and n-3 fatty acids is a key determinant of nutritional quality. The average n-6/n-3 ratio was 3.56:1 in hemp and 1.18:1 in linseed. The latter is considered more favorable from a human health perspective, as lower ratios are associated with reduced risk of chronic inflammatory diseases. However, the Agriol variety exhibited an unfavorable ratio of 8.97:1, combined with low PUFA and n-3 content, illustrating that not all linseed varieties are nutritionally equivalent.
Among other major fatty acids, oleic acid (C18:1) and palmitic acid (C16:0) were present in comparable amounts across both matrices [27,28]. Palmitic acid was the dominant saturated fatty acid (SFA) (20.6 g/kg in hemp; 28.7 g/kg in linseed), followed by stearic acid (C18:0) (6.0 g/kg and 7.8 g/kg, respectively). SFAs accounted for approximately 10% of total fatty acids, which is nutritionally favorable, as lower SFA intake is associated with improved cardiovascular outcomes. The presence of γ-linolenic acid (C18:3, n-6), a bioactive metabolite, further enhances the functional value of hemp and linseed oils [29], as it participates in anti-inflammatory and immunomodulatory pathways. Statistically significant differences among varieties (p < 0.05; Table 6, Table 7, Table 8, Table 9, Table 10 and Table 11) are therefore not only analytically relevant but also biologically relevant under the studied conditions, as they directly influence lipid metabolism, oxidative stability, and health-related functionality. These findings support the potential for targeted selection of cultivars based on fatty acid composition, enabling optimization for both nutritional quality and industrial oil production [30].
The differences between lipid determination using AOAC gravimetric methods and fatty acid analysis by GC-FAME arise primarily from the distinct analytical principles and the different definitions of what is being measured. AOAC methods, such as Soxhlet extraction, determine “crude fat,” which represents the mass of lipids that can be extracted from the sample matrix using non-polar organic solvents. This approach is highly dependent on extraction efficiency, solvent selection, and the structural properties of the sample matrix. In plant seeds such as hemp or flax, incomplete extraction may occur, particularly for polar lipid fractions (e.g., phospholipids and glycolipids) or lipids tightly bound within cellular structures. As a result, the AOAC method may underestimate the total lipid content. In contrast, GC analysis of fatty acid methyl esters (FAME), performed after prior transesterification of lipids, provides a detailed profile of individual fatty acids released from all lipid classes, including triglycerides and a portion of polar lipids that may not be fully recovered by solvent extraction. Therefore, GC-FAME results represent the total potential fatty acid content rather than gravimetrically defined extractable fat. Another key difference is that AOAC methods quantify the entire lipid molecule, including the glycerol backbone in triglycerides, whereas GC-FAME quantifies only the fatty acid fraction after cleavage of the glycerol moiety. Consequently, the two approaches are fundamentally based on different analytical targets and are not directly comparable in a strict quantitative sense. Additional discrepancies may arise from methodological factors such as incomplete extraction, oxidative degradation of unsaturated fatty acids during sample preparation, variability in transesterification efficiency, and the use of conversion factors or internal standards. Due to these considerations, GC-FAME analysis may yield higher values than AOAC crude fat determination. This discrepancy does not necessarily indicate an analytical error, but rather reflects the broader coverage of lipid-bound fatty acids captured by GC methods and the inherent limitations of gravimetric extraction techniques.

3.3. Protein Quality and Amino Acid Composition

Hemp seeds are recognized as a source of high-quality protein with excellent digestibility [31,32]. Proteomic analyses have identified 181 proteins, predominantly albumins (250–370 g/kg) and edestin (67–75 g/kg) [33]. Edestin is particularly rich in arginine and glutamic acid and provides a balanced profile of essential amino acids [32,34], which is critical for human nutrition. Linseed proteins, composed mainly of albumins and globulins, also represent a valuable plant protein source [35,36]. However, protein quality is influenced by multiple factors, including genotype, environmental conditions, and processing [37], which can alter both amino acid composition and digestibility.
The measured amino acid profiles (Table 12 and Table 13) demonstrated a broad and balanced composition in both hemp and linseed. Significant varietal differences were observed for most amino acids (p < 0.05), indicating varietal-associated differences in seed protein composition. Nevertheless, the overall amino acid patterns remained broadly similar under the studied conditions. In both hemp and linseed, glutamic acid + glutamine represented the predominant amino acid fraction, ranging from 34.4–44.1 g/kg seed in hemp and 33.8–39.9 g/kg seed in linseed. Aspartic acid + asparagine and arginine were also among the most abundant amino acids. Arginine concentrations ranged from 20.7 to 26.3 g/kg seed in hemp and from 16.6 to 19.7 g/kg seed in linseed, whereas leucine varied between 12.9 and 16.5 g/kg seed in hemp and 10.3 and 12.0 g/kg seed in linseed.
Although both crops exhibited a balanced amino acid composition and contained all essential amino acids, several species-specific differences were evident. Hemp seeds generally contained higher concentrations of arginine and branched-chain amino acids, particularly leucine, whereas linseed was characterized by higher concentrations of glutamic acid + glutamine and proline. These differences are in line with the reported storage protein composition of both species and may influence their potential nutritional and functional properties. Nevertheless, the amino acid profiles of both hemp and linseed indicate high-quality plant proteins with the potential to complement each other in food and feed applications. In addition, the higher total protein concentration observed in hemp seeds may further enhance their nutritional value, while linseed provides a similarly balanced amino acid spectrum despite its lower protein content.
The amino acid composition expressed on a protein basis (g/kg protein) enabled comparison of the intrinsic amino acid profiles among varieties and species independently of differences in total protein concentration (Supplementary Tables S1 and S2). The results indicated relatively similar amino acid patterns within each crop species, suggesting that amino acid composition is strongly associated with species-specific storage protein composition. Nevertheless, several consistent differences between hemp and linseed proteins were observed. Hemp varieties contained higher concentrations of several nutritionally important amino acids, particularly arginine, leucine, isoleucine, valine, and phenylalanine, whereas linseed proteins were characterized by higher proportions of glutamic acid + glutamine, proline, glycine, and serine. The elevated arginine content of hemp protein is consistent with previous reports identifying hemp seed as a particularly rich source of this amino acid among plant proteins [32].
Among hemp varieties, glutamic acid + glutamine represented the predominant amino acid fraction, ranging from 141.6 to 178.5 g/kg protein, followed by arginine (91.8–116.6 g/kg protein) and aspartic acid + asparagine (87.7–106.5 g/kg protein). Lysine concentrations ranged from 28.7 to 35.6 g/kg protein, leucine from 54.7 to 66.8 g/kg protein, and methionine from 20.8 to 24.9 g/kg protein. While differences among cultivars were generally modest after normalization to protein content, varieties such as Carmagnola and Białobrzeskie tended to exhibit higher concentrations of several amino acids, whereas Santhica 27, Santhica 70, and Fibror 79 frequently showed lower values. These results are in agreement with the characteristic amino acid profile of hemp seed proteins, which are dominated by edestin and albumin storage proteins and are known for their high arginine content [32,34]. In linseed, glutamic acid + glutamine was also the dominant amino acid group, occurring at even higher concentrations than in hemp (174.0–201.0 g/kg protein). Arginine content ranged from 77.9 to 96.4 g/kg protein, while lysine varied between 31.9 and 47.7 g/kg protein. The varieties Floral and Szafir generally exhibited higher concentrations of several amino acids, whereas Koral tended to show lower values for most amino acids.
From a nutritional perspective, one of the most notable distinctions was the higher arginine concentration in hemp protein, with a mean value of 104.1 g/kg protein compared with 87.2 g/kg protein in linseed. Arginine plays important roles in nitric oxide synthesis, immune function, and protein metabolism, and the higher concentration observed in hemp protein may contribute to its nutritional value. Hemp proteins also contained higher concentrations of branched-chain amino acids (valine, isoleucine, and leucine), which are involved in muscle protein synthesis and metabolic regulation. Similar observations were reported by House et al. [32], who described hemp protein as a plant protein source with a favorable amino acid composition. Despite these differences, both crops exhibited a balanced amino acid profile and contained all essential amino acids. The relatively low concentrations of sulfur-containing amino acids, particularly methionine (20.8–25.8 g/kg protein in hemp and 20.3–22.9 g/kg protein in linseed), suggest that these amino acids may represent the primary limiting components of protein quality. Nevertheless, the overall amino acid composition confirms that both hemp and linseed proteins represent valuable plant protein sources. The observed varietal differences further indicate that cultivar selection may provide opportunities for optimizing specific nutritional characteristics, particularly in relation to arginine-rich hemp varieties and linseed genotypes with enhanced lysine content. Overall, the present results support previous findings that hemp and flaxseed possess distinct but complementary amino acid profiles, which may be exploited for targeted food and feed applications [32].

3.4. Tocopherols and Carotenoids as Lipid-Protective Bioactive Compounds

Hemp and linseeds are also valued for their bioactive compound content, including vitamin E (tocopherols), with a tocopherol profile characterized by the predominance of γ-tocopherol. According to Wu et al. [38], the average γ-tocopherol content in linseed is approximately 410 mg/kg dry matter, accounting for more than 50% of the total tocopherol content, whereas α-tocopherol is present only at concentrations of several tens of mg/kg. In addition to their physiological roles, tocopherols have been associated with a reduced risk of cardiovascular disease, cancer, and age-related macular degeneration [39]. The concentration and composition of tocopherols are influenced by cultivar [24]. A similar distribution of individual tocopherols has been reported for hemp seeds. Jiang et al. [40] reported γ-tocopherol as the dominant form in hemp seeds (216.8 mg/kg), followed by α-tocopherol (18.2 mg/kg), δ-tocopherol (12.0 mg/kg), and β-tocopherol (1.6 mg/kg). γ-Tocopherol is readily absorbed and accumulates in human tissues, where it exhibits anti-inflammatory properties [40]; however, its antioxidant activity is generally considered lower than that of α-tocopherol [41]. Owing to the high content of unsaturated fatty acids in hemp and linseeds, tocopherols play a critical role as antioxidants, protecting these lipids from oxidative degradation.
Our measured data (Table 14 and Table 15) indicate a higher overall tocopherol content and consequently higher levels of all the quantified tocopherol forms in hemp seeds than in linseeds. The average concentrations in hemp seeds were 13.8 mg/kg for α-tocopherol, 170.0 mg/kg for γ-tocopherol, and 24.7 mg/kg for δ-tocopherol, whereas in linseeds, the corresponding values were 1.36 mg/kg, 126.0 mg/kg, and 6.41 mg/kg, respectively. In the present dataset, the δ-tocopherol concentrations exceeded those of α-tocopherol. Significant differences in varieties were also observed, with the highest total tocopherol content detected in Dioica 88 (a hemp variety) and in Floral (a flax variety), followed by Agriol. In addition to tocopherols, hemp and linseeds contain bioactive carotenoids, including β-carotene, lutein, and zeaxanthin, which play important roles in human health because of their antioxidant and physiological functions [42,43,44].
β-Carotene serves as a provitamin A compound that can be enzymatically converted to retinol, which is essential for vision, immune function, and cellular health. It contributes to visual acuity, helps prevent night blindness, and has been associated with reduced oxidative modification of LDL cholesterol, suggesting a potential role in cardiovascular health and chronic disease risk reduction [44]. Lutein and zeaxanthin are xanthophyll carotenoids that selectively accumulate in the macula of the retina, where they absorb high-energy blue light and protect retinal tissues from photochemical damage and oxidative stress. Their intake has been associated with a reduced risk of age-related macular degeneration and other ocular disorders, and they may also exert anti-inflammatory and neuroprotective effects through their ability to scavenge reactive oxygen species [42,43]. The analytical data confirm the presence of these carotenoids in both hemp and linseeds. In hemp seeds, β-carotene is the predominant carotenoid, accompanied by lutein and zeaxanthin, collectively contributing to the antioxidant capacity of the seed matrix [45]. Linseeds also contain β-carotene, whose content markedly varies among varieties, suggesting a potential role in protecting seed lipids from oxidative deterioration [46]. The present results again indicate a higher concentration of these bioactive compounds in hemp seeds than in linseeds. Across all the hemp varieties, the average concentrations were 0.304 mg/kg for β-carotene, 30.9 mg/kg for lutein, and 1.00 mg/kg for zeaxanthin. In linseeds, the corresponding values were 0.128 mg/kg, 2.82 mg/kg, and 0.572 mg/kg, respectively, with particularly pronounced differences observed for lutein. The presence of these antioxidants is also technologically important, as they enhance lipid stability and extend shelf life by reducing oxidative deterioration. Varietal differences (e.g., Earlina 8 FC, Futura 75, Bethune) suggest the potential for selecting cultivars with enhanced functional properties.

3.5. Cannabinoid Content and Regulatory Relevance

Various varieties of hemp seed (Table 16) and linseed (Table 17) were analyzed using the RP-C18-HPLC-DAD method described by Taubner et al. [22], enabling the identification of 16 distinct cannabinoids. In addition, the total cannabinoid content was calculated as the sum of 16 major and most frequently occurring cannabinoids. Hemp seeds contain only trace amounts of cannabinoids [47], as cannabinoids are concentrated primarily in the flowers and leaves rather than in the seeds. The analysis confirmed that hemp seeds contain very low levels of cannabinoids, including nonpsychotropic CBD and Δ9-THC [48,49]. Industrial hemp varieties regulated for food use ensure minimal THC content, rendering hemp seeds safe for consumption without psychoactive effects. Although hemp seeds are a valuable source of nutrients such as proteins, lipids, and vitamins, they are not a primary source of cannabinoids for medicinal purposes [50]. Within the European Union, the content of Δ9-THC in hemp seeds and foods derived from them is regulated by the legally binding maximum limits established by Commission Regulation (EU) 2023/915 [51], which amends and consolidates Commission Regulation (EC) No. 1881/2006 on maximum levels for certain contaminants in foodstuffs. For hemp seeds (Cannabis sativa L.), including both whole and mechanically processed forms (e.g., crushed or ground seeds), the maximum permitted level is 3.0 mg/kg Δ9-THC equivalents. This limit applies to the sum of Δ9-THC and its acidic precursor, Δ9-THCA, with the Δ9-THCA content converted to Δ9-THC equivalents using a conversion factor of 0.877 to account for differences in molecular weight. For hemp seed oil, the maximum allowable concentration is 7.5 mg/kg Δ9-THC equivalents, reflecting the lipophilic nature of cannabinoids and their potential concentration during oil pressing and processing. These limits apply exclusively to food products and are independent of agricultural THC thresholds for hemp cultivation regulated under the EU Common Agricultural Policy. Food-related limits aim to protect consumers from potential psychoactive effects while recognizing that hemp seeds are not primary sites of cannabinoid biosynthesis and that their cannabinoid content is largely due to surface contamination by resin originating from other plant tissues [47,49,52].
The analyzed hemp seed varieties (Table 16) exhibited considerable variation in CBD content. The total CBD concentration ranged from 3.9 to 82.1 mg/kg, with an average of 29.6 mg/kg. The lowest CBD content was observed in the USO 31 variety. Δ9-THC was detected in only four varieties, with the highest concentration recorded in Finola. CBD concentrations were the highest in Felina 32 (27.48 mg/kg), Finola (17.24 mg/kg), and Futura 75 (10.98 mg/kg). Similarly, CBDA concentrations were also highest in these varieties, albeit in a different order: Finola (54.8 mg/kg), Futura 75 (53.6 mg/kg), and Felina (29.5 mg/kg). Of particular interest were the contents of CBG and CBGA, which are typically less than 1 mg/kg in most varieties. However, the Santhica 27 and Santhica 70 varieties presented markedly higher concentrations of CBG (2.936 and 2.453 mg/kg, respectively) and CBGA (10.65 and 11.81 mg/kg, respectively). Santhica varieties are specifically bred for a higher CBG content and an almost negligible THC content. These differences largely reflect the cannabinoid composition of the entire plant, as the cannabinoid content detected in seeds corresponds to that of the whole plant. Consequently, individual varieties differ substantially. Analyses of whole-plant biomass of selected varieties such as Białobrzeskie, Felina 32, Futura 75, and Santhica 27 by Paulová et al. [53] demonstrated that the levels of major cannabinoids (CBD, CBDA, CBG, and CBGA) closely corresponded to those measured in the seeds. This observation is consistent with studies indicating that cannabinoids detected in seeds primarily originate from external contamination from other plant parts rather than endogenous biosynthesis within the seed itself [52].
In this study, 16 cannabinoid compounds were analyzed across all linseed varieties. Among these, only a compound exhibiting CBD-like chromatographic behavior (designated CBD*) was detected (Table 17). This putative CBD-like compound occurred at very low concentrations, with the highest level observed in the Bukoz variety (0.1137 mg/kg), while other varieties showed lower or non-detectable levels. A previous study by Styrczewska et al. [54] reported the presence of a cannabinoid-like compound in flax (Linum usitatissimum L.) with chromatographic and spectral characteristics similar to CBD. Using UPLC–MS, the authors observed comparable retention behavior and mass spectral fragments, suggesting the presence of a CBD-like metabolite, although its exact chemical identity was not confirmed. In the present study, HPLC-DAD analysis of the Agriol variety (Figure 2) revealed a signal with retention time and UV spectral characteristics similar to those of a CBD standard. Subsequent GC–MS analysis (Figure 3) showed comparable chromatographic behavior and mass spectral patterns when compared with both a CBD reference standard and a hemp seed sample (Futura 75). However, it must be emphasized that HPLC-DAD and GC–MS alone are not sufficient for definitive structural identification. Therefore, the detected compound can only be tentatively described as a putative CBD-like compound. Unambiguous confirmation of its chemical structure would require additional analytical techniques such as LC–MS/MS, high-resolution MS, or NMR spectroscopy. Taken together, these findings support the hypothesis that flax may contain secondary metabolites with chromatographic and spectral properties resembling cannabidiol. However, the compound cannot be conclusively identified as CBD, and its exact chemical nature and biological relevance remain to be elucidated.

3.6. Integrated Interpretation: A Functional Trade-Off Model Between Oilseed Crops

The results presented in Section 3.1, Section 3.2, Section 3.3, Section 3.4 and Section 3.5 demonstrate that hemp seed and linseed differ not only in individual compositional parameters but also in their overall functional profiles. Rather than representing isolated nutritional attributes, the observed differences reflect a broader trade-off between key compositional domains, including protein content, lipid yield, fatty acid composition, fiber content, and bioactive compound levels.
From a systems perspective, hemp seed can be characterized as a protein- and fiber-oriented matrix, whereas linseed represents a lipid- and n-3 fatty acid-oriented matrix. This distinction is supported by the higher crude protein (241 g/kg) and total dietary fiber content (237 g/kg) observed in hemp (Table 4), compared to the substantially higher fat content in linseed (342 g/kg; Table 5). These compositional differences may not be independent; rather, they likely reflect differences in metabolic allocation strategies under the studied conditions during seed development, where carbon and nitrogen resources are partitioned between storage proteins, structural polysaccharides, and lipids.
A key functional divergence is evident in fatty acid composition (Table 6, Table 7, Table 8, Table 9, Table 10 and Table 11). Linseed exhibits a markedly higher content of ALA and a more favorable n-6/n-3 ratio (1.18:1), which is associated with anti-inflammatory and cardioprotective effects. In contrast, hemp seed provides a more balanced fatty acid profile with additional bioactive components such as γ-linolenic acid, albeit with a less optimal n-6/n-3 ratio (3.56:1). This indicates that nutritional optimization cannot be reduced to a single parameter, but instead requires consideration of the overall lipid profile and its physiological implications.
Similarly, the higher levels of tocopherols and carotenoids in hemp seeds (Table 14 and Table 15) suggest a stronger intrinsic antioxidant system, which may contribute to enhanced oxidative stability despite a lower total lipid content. This highlights an important functional interaction between lipid quantity and antioxidant protection: seeds with lower oil content may compensate through higher concentrations of protective compounds, thereby maintaining lipid integrity.
The observed varietal variability across all measured parameters further supports the concept of a trade-off model. Significant differences (p < 0.05) in fatty acid composition, amino acid profiles, tocopherol levels, and cannabinoid content indicate that genotype-associated differences may enable targeted optimization of specific traits, potentially accompanied by trade-offs in other compositional parameters. For example, linseed varieties bred for low ALA (e.g., Agriol) exhibit altered fatty acid balance, while hemp varieties selected for specific cannabinoid profiles (e.g., Santhica types) show distinct secondary metabolite distributions.
Importantly, the cannabinoid analysis (Table 16 and Table 17) provides an additional dimension to this model. While hemp seeds contain only trace amounts of cannabinoids due to surface contamination rather than endogenous synthesis, the variability observed reflects whole-plant metabolic characteristics. In contrast, the detection of a CBD-like compound in linseed (CBD*), although at negligible concentrations, suggests the presence of structurally related secondary metabolites, further expanding the biochemical diversity of oilseed crops.
Taken together, these findings support a functional trade-off model, in which oilseed crops cannot simultaneously maximize all desirable nutritional and technological traits. Instead, hemp seed and linseed occupy distinct but complementary positions within a multidimensional compositional space. From an application perspective, this implies that: (i) linseed is better suited for applications requiring high oil yield and elevated n-3 fatty acid content, (ii) hemp seed is more suitable for protein enrichment, fiber intake, and antioxidant delivery.
Therefore, optimal utilization of these crops may not rely on selecting a single “superior” seed type, but rather on strategic combination or targeted varietal selection, depending on the intended nutritional or technological outcome. This integrative perspective addresses the complexity of seed composition and provides a framework for future research, breeding strategies, and food formulation approaches aimed at maximizing the functional potential of oilseed crops.
A limitation of the present study is that, due to the single-year experimental design, the relative contributions of genotype and environment cannot be fully disentangled; therefore, multi-year and multi-location evaluations would be required.

4. Conclusions

In this study, a comprehensive set of hemp and linseed varieties was evaluated using multiple complementary analytical approaches, including proximate composition, fatty acid profiling, amino acid composition, vitamin and carotenoid quantification, and cannabinoid analysis. In total, 12 hemp and 11 linseed varieties were analyzed in duplicates (independent biological replicates) and statistically evaluated (p < 0.05), allowing robust assessment of inter-varietal variability under standardized conditions.
The results indicated significant differences both between hemp and linseed and among individual varieties within each crop; however, while the study demonstrates considerable variation in composition under the tested conditions, it does not establish that these differences represent stable genetic traits independent of environmental influences. In terms of proximate composition, linseed exhibited higher total fat content, while hemp seeds showed slightly higher fiber content. Fat content ranged markedly among varieties, from approximately 200 g/kg to 377 g/kg, highlighting substantial varietal variability. The fatty acid profile of both crops was dominated by nutritionally important PUFAs, particularly linoleic acid (n-6) and ALA (n-3), with linseed demonstrating a more favorable n-6/n-3 ratio overall. Both crops also proved to be valuable sources of essential amino acids and bioactive compounds, including tocopherols and carotenoids (β-carotene, lutein, and zeaxanthin), which contribute to antioxidant potential and improve the nutritional stability of lipid-rich matrices. Considerable varietal differences were also observed in cannabinoid composition among hemp genotypes, including variability in CBD/CBDA and trace levels of Δ9-THC, although all analyzed hemp varieties complied with current EU regulatory limits for Δ9-THC equivalents, based on the applied calculation (Δ9-THC + 0.877 × Δ9-THCA), confirming that measured values remained below the 3.0 mg/kg threshold.
From an applied perspective, the results suggest that varietal selection may be used to influence the nutritional profile of hemp and linseed for feed purposes, particularly with respect to fatty acid composition and bioactive compound content. However, further studies evaluating digestibility, antinutritional factors, and in vivo animal performance are required to fully confirm the practical implications for feed formulation. The novelty of this study lies in the direct, side-by-side comparison of a relatively large number of commercially relevant hemp and linseed varieties in similar environmental conditions. This design enables a systematic assessment of varietal differences under uniform growing conditions and provides a unique, integrated dataset combining macronutrient composition, detailed lipid and amino acid profiles, micronutrients, and cannabinoid spectra within a single experimental framework. Overall, the findings indicate that both hemp and linseed are highly variable in their nutritional composition at the varietal level, and that this variability may be exploited in animal nutrition. While linseed remains superior in terms of total PUFA content and n-3/n-6 ratio, hemp seeds offer a broader spectrum of bioactive compounds, making both crops complementary rather than interchangeable functional feed ingredients. From a practical perspective, linseed may be considered the preferred option when a high content of oil and n-3 fatty acids is desired, whereas hemp seed appears more advantageous for applications emphasizing protein, fiber, and antioxidant compounds. To fully disentangle the relative contributions of genotype and environmental effects, multi-year and multi-location studies would be required.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/foods15122145/s1, Table S1. Amino acid content (g/kg crude protein) in different hemp seed varieties. Table S2. Amino acid content (g/kg protein) in different linseed varieties.

Author Contributions

Conceptualization, T.T. and M.E.; methodology, T.T., M.B. and M.E.; software, M.E.; validation, T.T. and M.E.; formal analysis, T.T., M.B., K.B., T.V. and K.R.; investigation, T.T. and V.S.; resources, V.S.; data curation, T.T., M.E., K.B., T.V. and K.R.; writing—original draft preparation, T.T.; writing—review and editing, T.T.; visualization, T.T.; supervision, M.E., M.B. and V.S.; project administration, V.S.; funding acquisition, V.S., M.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Ministry of Agriculture of the Czech Republic, institutional support MZE-RO-0723 and MZE-RO-1023.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The author Marie Bjelková was employed by the company Agritec Plant Research Ltd., Department of Legumes and Technical Crops (Šumperk, Czech Republic), which provided the hemp and linseed varieties used in the present study. The authors declare that this study received funding from MZE-RO-0723 and MZE-RO-1023. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.

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Figure 1. Average daily air temperature and daily precipitation totals, Šumperk site in 2021, long-term normal.
Figure 1. Average daily air temperature and daily precipitation totals, Šumperk site in 2021, long-term normal.
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Figure 2. Comparison of high-performance liquid chromatography chromatograms (205 nm) of the hemp seed variety Futura 75 (A) and the linseed variety Agriol (B), showing the visible cannabidiol peak in the hemp seed variety and a cannabidiol-like compound (CBD*) in the linseed variety.
Figure 2. Comparison of high-performance liquid chromatography chromatograms (205 nm) of the hemp seed variety Futura 75 (A) and the linseed variety Agriol (B), showing the visible cannabidiol peak in the hemp seed variety and a cannabidiol-like compound (CBD*) in the linseed variety.
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Figure 3. GC–MS chromatograms with mass spectra of the cannabidiol standard (A), a sample of the hemp seed variety Futura 75 (B) and the linseed variety Agriol (C) focused on the mass spectra of cannabidiol or cannabidiol related compound peak (retention time range 28.5–28.7 min).
Figure 3. GC–MS chromatograms with mass spectra of the cannabidiol standard (A), a sample of the hemp seed variety Futura 75 (B) and the linseed variety Agriol (C) focused on the mass spectra of cannabidiol or cannabidiol related compound peak (retention time range 28.5–28.7 min).
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Table 1. Analyzed hemp seed and linseed varieties.
Table 1. Analyzed hemp seed and linseed varieties.
SeedVarietyOriginEU RegistrationVegetation Period (d)
Hemp seedBiałobrzeskiePolandYes135
Hemp seedCarmagnolaItalyYes160
Hemp seedDioica 88FranceYes150
Hemp seedEarlina 8 FCFranceYes130
Hemp seedFelina 32FranceYes115
Hemp seedFerimon 12FranceYes106
Hemp seedFibror 79FranceYes130
Hemp seedFinolaFinlandYes95
Hemp seedFutura 75FranceYes140
Hemp seedSanthica 27FranceYes125
Hemp seedSanthica 70FranceYes120
Hemp seedUSO 31UkraineYes110
LinseedAgram brown seeds MLACzech RepublicYes110
LinseedAgriol yellow seeds LLACzech RepublicYes160
LinseedAstella brown seeds HLACzech RepublicYes110
Linseed Bethune brown seeds HLACanadaNo95
LinseedBukoz brown seeds HLAPolandYes112
LinseedFloral brown seeds HLAFranceYes120
Linseed Koral yellow seeds HLAFranceYes110
LinseedRaciol yellow seeds MLACzech RepublicYes90
LinseedSpring (genotype AGT 1/2020) brown seeds HLACzech RepublicNo110
LinseedSzafir brown seeds HLAPolandYes120
LinseedWinter (genotype AGT 2/2020) brown seeds HLACzech RepublicNo150
Abbreviations: HLA—High content of linolenic acid; MLA—Medium content of linolenic acid; LLA—Low content of linolenic acid.
Table 2. Climatic conditions at the Šumperk site from January (I.) to October (X.) 2021.
Table 2. Climatic conditions at the Šumperk site from January (I.) to October (X.) 2021.
I.II.III.IV.V.VI.VII.VIII.IX.X.
Average temperature (°C)−1.7−1.20.55.911.518.719.616.413.77.5
Long-term average (%)45.042.630.621.687.793.981.691.817.510.7
Total precipitation (mm)19.596.235.14.157.8136.583.8164.594.173.7
Long-term total precipitation (mm)55.439.044.136.368.782.677.574.451.845.7
Table 3. Agrochemical soil analysis—Spring 2021.
Table 3. Agrochemical soil analysis—Spring 2021.
LocationN (mg/kg)P (mg/kg)Mg (mg/kg)Ca (mg/kg)pHK (mg/kg)K/Mg Ratio
Šumperk1630105.9157.12498.76.5150.71.0
Vikýřovice173084.6109.42348.05.9173.11.6
Table 4. Chemical composition (g/kg) in different hemp seed varieties.
Table 4. Chemical composition (g/kg) in different hemp seed varieties.
VarietyDMCrude ProteinFatTotal Dietary FiberAshNFE
Białobrzeskie943 ± 1.1 bc224 ± 0.6 h200 ± 8.9 e243 ± 1.3 d44.4 ± 0.16 g232 ± 12.1 a
Carmagnola942 ± 3.8 c247 ± 1.1 bc267 ± 8.7 bc219 ± 0.4 gh59.3 ± 0.12 a149 ± 13.4 d
Dioica 88943 ± 0.1 bc248 ± 0.5 b298 ± 5.3 a229 ± 0.5 f42.1 ± 0.10 j126 ± 5.3 e
Earlina 8 FC946 ± 0.5 b250 ± 1.3 a236 ± 1.0 d249 ± 1.7 c43.3 ± 0.17 i168 ± 0.8 c
Felina 32949 ± 0.2 a247 ± 0.1 bc274 ± 5.2 bc221 ± 0.4 g41.7 ± 0.07 j167 ± 4.5 c
Ferimon 12944 ± 0.2 bc239 ± 1.0 e262 ± 0.9 c258 ± 2.3 b45.0 ± 0.22 f139 ± 0.1 de
Fibror 79948 ± 2.4 ab236 ± 0.5 f228 ± 0.9 d240 ± 0.6 e43.9 ± 0.04 h200 ± 3.4 b
Finola902 ± 0.9 d247 ± 0.7 bc278 ± 15.9 b219 ± 0.2 gh51.9 ± 0.04 c106 ± 15.9 f
Futura 75940 ± 0.5 c238 ± 0.9 e266 ± 0.9 bc217 ± 1.5 h56.3 ± 0.05 b163 ± 0.1 cd
Santhica 27943 ± 0.7 c246 ± 0.8 c261 ± 0.7 c230 ± 0.0 e45.9 ± 0.49 de160 ± 1.3 cd
Santhica 70941 ± 0.6 c243 ± 0.3 d255 ± 0.7 c273 ± 0.6 a45.5 ± 0.04 e124 ± 2.3 e
USO 31947 ± 0.3 ab229 ± 0.9 g238 ± 5.5 d244 ± 1.9 d46.0 ± 0.13 d191 ± 7.8 b
Mean ± SD941 ± 12.4241 ± 8.1255 ± 25.8237 ± 17.247.1 ± 5.53160 ± 35.0
SEM2.51.75.33.51.137.1
p<0.001<0.001<0.001<0.001<0.001<0.001
Abbreviations: DM—Dry matter; NFE—Nitrogen-free extract; SD—Standard deviation; SEM—Standard error of the mean; a–j Values within a column with different superscripts differ significantly at p < 0.05.
Table 5. Chemical composition (g/kg) in different linseed varieties.
Table 5. Chemical composition (g/kg) in different linseed varieties.
VarietyDMCrude ProteinFatTotal Dietary FiberAshNFE
Agram947 ± 0.0190 ± 0.0 g356 ± 0.2 b160 ± 1.7 cd36.4 ± 0.88 c205 ± 0.9 cd
Agriol944 ± 0.3205 ± 0.7 c362 ± 20.6 ab148 ± 3.8 e36.3 ± 0.00 c193 ± 23.9 d
Astella954 ± 4.5187 ± 0.5 h289 ± 0.8 e141 ± 7.8 e38.7 ± 0.11 ab298 ± 13.6 a
Bethune951 ± 2.0199 ± 0.6 e352 ± 1.6 b174 ± 1.8 b38.9 ± 0.46 ab187 ± 5.4 de
Bukoz944 ± 0.8191 ± 0.2 g344 ± 14.3 bc190 ± 0.6 a39.3 ± 0.01 a190 ± 1.4 de
Floral933 ± 24.7199 ± 0.3 e372 ± 1.5 ab165 ± 4.6 c35.0 ± 0.05 cd162 ± 31.2 e
Koral963 ± 0.9208 ± 0.1 b377 ± 3.7 a180 ± 3.3 b36.1 ± 0.00 cd161 ± 0.7 e
Raciol941 ± 0.1212 ± 1.2 a324 ± 0.3 cd92 ± 0.8 g38.7 ± 0.07 b275 ± 1.6 ab
Spring958 ± 0.4199 ± 0.2 e339 ± 1.3 bc157 ± 0.5 d37.7 ± 2.64 bc226 ± 2.3 c
Szafir959 ± 6.6195 ± 2.1 f314 ± 1.7 d156 ± 1.8 d35.6 ± 0.03 cd259 ± 8.6 b
Winter958 ± 5.4202 ± 0.6 d333 ± 0.7 c129 ± 0.4 f34.4 ± 0.03 d258 ± 6.2 b
Mean ± SD950 ± 10.6199 ± 7.6342 ± 26.1154 ± 26.237.0 ± 1.79219 ± 46.5
SEM2.31.65.65.60.389.9
pns<0.001<0.001<0.0010.001<0.001
Abbreviations: DM—Dry matter; NFE—Nitrogen-free extract; SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; a–h Values within a column with different superscripts differ significantly at p < 0.05.
Table 6. Profile and composition of saturated fatty acids in different hemp seed varieties (mg/kg).
Table 6. Profile and composition of saturated fatty acids in different hemp seed varieties (mg/kg).
VarietyC 6:08:010:012:013:014:015:016:017:018:020:021:022:023:024:0
Białobrzeskie1.08 ± 0.440 c62.9 ± 0.07 b3.83 ± 0.075 d5.47 ± 0.221 de1.81 ± 0.010128 ± 1.1 e51.7 ± 1.40 f16,949 ± 9.2 k137 ± 1.8 d7634 ± 6.0 b2151 ± 37.5 g136 ± 1.9 de1.64 ± 0.2160.375 ± 0.0842 bc9.2 ± 6.97 c
Carmagnola1.19 ± 0.027 c29.5 ± 1.48 e4.62 ± 0.314 c7.89 ± 0.251 c2.65 ± 0.592171 ± 0.9 c72.6 ± 3.21 c22,541 ± 11.9 d171 ± 30.2 c4662 ± 160.8 fg2334 ± 53.5 f223 ± 8.7 b2.06 ± 1.3720.560 ± 0.0330 bc87.7 ± 2.76 a
Dioica 884.38 ± 1.183 a46.3 ± 1.32 d5.83 ± 0.012 b8.26 ± 0.080 c4.06 ± 0.409167 ± 5.3 cd93.4 ± 1.31 a26,568 ± 7.3 a182 ± 1.0 bc6598 ± 149.0 d3016 ± 29.4 b221 ± 10.8 b2.28 ± 1.4030.793 ± 0.2745 ab14.4 ± 7.54 c
Earlina 8 FC0.29 ± 0.062 c30.5 ± 1.90 e4.66 ± 0.077 c8.97 ± 0.158 b2.15 ± 0.341153 ± 0.7 d71.1 ± 2.51 c20,014 ± 16.5 f193 ± 2.7 b6022 ± 18.8 e2560 ± 73.6 e137 ± 6.1 de2.80 ± 1.5530.250 ± 0.0358 c43.8 ± 12.40 b
Felina 320.76 ± 0.276 c43.4 ± 4.60 d3.64 ± 0.391 de3.94 ± 0.283 f2.94 ± 1.148114 ± 0.2 fg57.9 ± 2.48 e18,943 ± 16.2 h157 ± 0.3 cd4830 ± 74.7 f2538 ± 83.3 e129 ± 4.4 e4.35 ± 4.4130.216 ± 0.0379 c51.3 ± 15.78 b
Ferimon 120.56 ± 0.163 c19.1 ± 0.04 f2.99 ± 0.194 e4.06 ± 0.077 f2.46 ± 0.356122 ± 0.8 ef64.7 ± 2.15 d19,414 ± 11.4 g165 ± 5.7 c4377 ± 162.1 g2488 ± 62.9 e155 ± 7.3 d1.94 ± 0.8980.338 ± 0.0112 c39.2 ± 20.10 bc
Fibror 792.90 ± 0.170 b58.4 ± 0.20 b9.99 ± 0.148 cd6.03 ± 0.206 d2.33 ± 0.208126 ± 0.4 ef69.0 ± 2.02 cd21,791 ± 27.9 e186 ± 3.4 bc8006 ± 187.4 a3122 ± 69.1 b187 ± 10.4 c2.97 ± 1.7870.959 ± 0.0263 a50.5 ± 20.30 b
Finola3.84 ± 0.681 ab73.3 ± 2.60 a6.74 ± 0.000 a8.03 ± 0.027 c3.34 ± 1.587181 ± 8.7 b85.6 ± 1.48 b24,371 ± 12.0 b245 ± 0.6 a6000 ± 56.3 e3372 ± 39.7 a330 ± 25.6 a4.27 ± 1.3460.581 ± 0.0035 bc40.9 ± 1.07 bc
Futura 751.45 ± 1.030 c47.4 ± 4.74 d6.61 ± 0.418 a9.96 ± 0.000 a1.65 ± 0.069217 ± 1.7 a84.3 ± 0.51 b22,964 ± 0.4 c166 ± 0.6 c7284 ± 299.0 c2887 ± 19.9 c227 ± 2.8 b1.52 ± 0.2440.640 ± 0.2503 b7.6 ± 0.85 c
Santhica 272.64 ± 0.836 bc56.5 ± 1.61 c2.37 ± 0.179 e3.84 ± 0.358 f2.30 ± 0.586110 ± 1.9 g56.7 ± 1.12 e16,517 ± 29.7 l134 ± 5.0 d4516 ± 203.6 fg1856 ± 55.4 h139 ± 10.8 de2.28 ± 1.1410.400 ± 0.1506 bc31.2 ± 10.19 bc
Santhica 701.02 ± 0.184 c70.7 ± 4.74 a2.28 ± 0.981 e5.01 ± 0.517 e2.50 ± 0.485129 ± 0.4 e65.3 ± 0.46 d18,813 ± 0.0 i142 ± 0.7 d6373 ± 66.2 de2267 ± 80.8 fg155 ± 14.0 d2.44 ± 0.7710.467 ± 0.0000 bc57.6 ± 19.36 b
USO 312.07 ± 0.581 bc29.2 ± 0.26 e3.76 ± 0.143 de4.57 ± 0.493 ef2.99 ± 0.012120 ± 0.2 f66.6 ± 1.18 d18,352 ± 3.5 j161 ± 5.2 cd6108 ± 185.5 e2733 ± 51.7 d153 ± 6.7 d0.73 ± 0.0000.572 ± 0.1525 bc57.1 ± 16.53 b
Mean ± SD1.85 ± 1.36647.3 ± 17.334.28 ± 1.4796.34 ± 2.1342.60 ± 0.806145 ± 32.369.9 ± 12.3220,602 ± 3066.3170 ± 30.26034 ± 1237.02610 ± 436.2183 ± 58.22.44 ± 1.5890.513 ± 0.232840.9 ± 24.49
SEM0.2793.540.3020.4360.1656.62.51612.36.2248.687.411.90.3240.04755.00
p<0.001<0.001<0.001<0.001ns<0.001<0.001<0.001<0.001<0.001<0.001<0.001ns0.0030.002
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; a–l Values within a column with different superscripts differ significantly at p < 0.05.
Table 7. Profile and composition of saturated fatty acids in different linseed varieties (mg/kg).
Table 7. Profile and composition of saturated fatty acids in different linseed varieties (mg/kg).
VarietyC 6:08:010:012:013:014:015:016:017:018:020:021:022:023:024:0
Agram3.88 ± 1.939 ab11.0 ± 1.14 bc5.63 ± 0.296 bc26.5 ± 2.43 bc3.37 ± 1.095296 ± 28.2 ab109 ± 1.1 b32,466 ± 17.9 b268 ± 5.7 a10,505 ± 4262.1 a682 ± 2.0 c34.4 ± 1.48 ab11.40 ± 6.7600.814 ± 0.25334.6 ± 0.52 c
Agriol5.02 ± 1.491 ab1.4 ± 0.51 d4.98 ± 0.199 c13.0 ± 0.31 d2.96 ± 1.371152 ± 2.8 c51 ± 2.0 d17,250 ± 11.5 j182 ± 19.8 bc4166 ± 87.9 b382 ± 18.6 e17.1 ± 3.03 c1.24 ± 0.2330.457 ± 0.014729.6 ± 6.28 b
Astella3.89 ± 0.581 ab12.7 ± 1.05 b4.89 ± 0.728 c23.6 ± 0.05 c2.78 ± 0.884258 ± 22.7 ab98 ± 3.8 c28,978 ± 8.3 g247 ± 36.7 a8031 ± 48.9 ab715 ± 14.2 bc36.4 ± 7.55 ab4.40 ± 1.1930.604 ± 0.056467.6 ± 7.81 a
Bethune1.63 ± 0.529 b9.5 ± 0.84 bc4.94 ± 0.629 c22.2 ± 1.40 c3.12 ± 0.559259 ± 30.5 ab114 ± 7.8 b27,728 ± 38.0 h202 ± 18.9 b5606 ± 5.7 b689 ± 33.4 c34.0 ± 1.00 ab4.46 ± 2.3900.462 ± 0.16627.1 ± 0.65 c
Bukoz2.25 ± 0.929 b11.3 ± 1.97 bc4.79 ± 0.054 c23.4 ± 2.33 c3.11 ± 0.531249 ± 26.6 ab112 ± 3.7 b29,061 ± 24.7 f178 ± 8.2 bc5463 ± 49.6 b530 ± 30.3 d31.9 ± 4.36 ab3.19 ± 2.0090.381 ± 0.022611.0 ± 10.35 c
Floral2.38 ± 0.207 b16.9 ± 0.75 a5.92 ± 0.395 b28.7 ± 0.09 b3.59 ± 0.239299 ± 30.9 a131 ± 3.6 a34,040 ± 25.3 a217 ± 19.5 ab9026 ± 31.3 a863 ± 41.4 a33.8 ± 3.33 ab4.85 ± 1.5350.503 ± 0.16346.7 ± 4.06 c
Koral5.24 ± 1.741 a10.8 ± 0.45 bc5.71 ± 0.103 bc22.8 ± 0.23 c3.47 ± 0.941237 ± 33.4 ab132 ± 2.2 a30,754 ± 25.2 c270 ± 02.3 a10,170 ± 1300.3 a759 ± 19.4 bc29.3 ± 6.34 b5.21 ± 0.6170.674 ± 0.436727.3 ± 7.92 b
Raciol4.05 ± 0.106 ab9.2 ± 0.09 c6.26 ± 0.311 b26.8 ± 1.90 bc3.37 ± 0.871270 ± 29.4 ab109 ± 5.9 b29,269 ± 22.4 e265 ± 12.9 a8840 ± 760.9 a699 ± 06.6 c34.9 ± 1.42 ab4.18 ± 2.3621.003 ± 0.37077.5 ± 3.34 c
Spring3.02 ± 0.757 b9.0 ± 2.30 c4.28 ± 0.338 c20.6 ± 0.74 c2.87 ± 0.241232 ± 46.9 b92 ± 5.8 c26,003 ± 17.6 i192 ± 03.7 b7520 ± 193.1 ab865 ± 42.5 a32.0 ± 1.93 ab8.82 ± 0.1500.308 ± 0.02895.1 ± 4.25 c
Szafir1.54 ± 0.114 b11.7 ± 2.15 bc5.50 ± 0.275 bc23.8 ± 1.30 c3.51 ± 1.502268 ± 42.9 ab123 ± 2.2 ab30,798 ± 20.3 c242 ± 12.9 a8292 ± 463.6 ab832 ± 38.6 a38.0 ± 1.10 a2.97 ± 0.7090.820 ± 0.13865.4 ± 2.91 c
Winter2.85 ± 0.270 b15.8 ± 2.74 ab9.39 ± 0.248 a33.5 ± 3.02 a4.36 ± 1.743278 ± 4.2 ab133 ± 8.1 a29,333 ± 4.5 d149 ± 1.8 c8267 ± 113.0 ab764 ± 23.5 b38.3 ± 3.47 a3.14 ± 0.7411.094 ± 0.451128.2 ± 1.15 b
Mean ± SD3.25 ± 1.43710.8 ± 4.085.66 ± 1.35924.1 ± 5.153.32 ± 0.855254 ± 44.8110 ± 23.428,698 ± 4376.9219 ± 42.37810 ± 218.1707 ± 142.732.7 ± 6.314.90 ± 3.3100.647 ± 0.308818.2 ± 19.15
SEM0.3060.870.2901.100.1829.65.0911.39.046.530.41.350.7060.06584.08
p0.036<0.001<0.001<0.001ns0.024<0.001<0.001<0.0010.013<0.0010.009nsns<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; a–j Values within a column with different superscripts differ significantly at p < 0.05.
Table 8. Profile and composition of unsaturated fatty acids in different hemp seed varieties (mg/kg).
Table 8. Profile and composition of unsaturated fatty acids in different hemp seed varieties (mg/kg).
Variety14:1-n516:1-n718:1-n918:1-n718:2-n618:3-n618:3-n318:2 (9,11)18:2 (10,12)20:1-n920:2-n620:3-n620:4-n620:3-n320:5-n322:1-n922:5-n324:1-n922:6-n3
Białobrzeskie13.2 ± 0.38 c333 ± 4.9 f31,115 ± 9.4 h2049 ± 32.6 d133,525 ± 231.2 k7590 ± 9.67 h33,762 ± 16.6 l2365 ± 20.8 h18.3 ± 5.45993 ± 5.9 f155 ± 7.9 e5.65 ± 3.111 bc0.94 ± 0.83718.8 ± 2.81 d45.8 ± 6.06 de967 ± 6.7 f405 ± 67.1 b84.7 ± 14.25 de513 ± 46.2 d
Carmagnola10.7 ± 3.26 cd460 ± 10.0 b32,854 ± 2.8 f2418 ± 10.7 ab165,737 ± 111.1 f4347 ± 13.5 l54,599 ± 80.9 e2051 ± 20.5 i9.7 ± 2.531174 ± 27.5 cd193 ± 9.7 d4.73 ± 1.417 c0.76 ± 0.03033.9 ± 4.01 bc117.5 ± 11.63 b1118 ± 6.6 d425 ± 21.1 b258.3 ± 14.79 a578 ± 13.3 cd
Dioica 8819.8 ± 0.27 ab472 ± 2.4 ab44,787 ± 17.9 a2468 ± 19.1 a225,650 ± 36.6 a4522 ± 5.0 k68,591 ± 48.7 a1750 ± 32.5 j27.2 ± 9.671650 ± 4.3 a255 ± 4.1 b5.80 ± 1.713 bc1.32 ± 0.00640.9 ± 1.17 b76.2 ± 0.25 c1448 ± 13.4 a533 ± 13.6 a114.6 ± 1.38 c760 ± 2.3 a
Earlina 8 FC8.5 ± 0.54 d438 ± 14.9 c31,110 ± 4.2 h2356 ± 26.9 b171,149 ± 40.6 e10,245 ± 3.3 c56,840 ± 38.6 d3836 ± 9.2 b9.9 ± 4.721231 ± 37.2 c226 ± 12.6 c4.65 ± 0.161 c2.44 ± 1.61329.7 ± 6.22 c35.8 ± 2.00 de1111 ± 7.8 d453 ± 14.0 ab68.5 ± 6.07 e740 ± 20.8 ab
Felina 327.8 ± 0.48 d365 ± 7.2 e33,410 ± 15.1 e2209 ± 14.4 c157,737 ± 157.6 h8400 ± 35.2 e39,612 ± 69.8 k2609 ± 108.6 g14.3 ± 7.221155 ± 40.6 d189 ± 17.3 d4.64 ± 0.161 c1.86 ± 1.43121.4 ± 2.27 d32.9 ± 6.70 e1124 ± 15.8 d453 ± 32.0 ab77.6 ± 11.14 de686 ± 29.9 b
Ferimon 1218.6 ± 2.15 b403 ± 18.5 d31,636 ± 47.3 g2292 ± 8.0 bc165,550 ± 39.0 f11,001 ± 7.0 b42,998 ± 457.5 i3242 ± 60.0 c13.7 ± 1.231164 ± 22.1 d204 ± 20.1 cd4.03 ± 1.655 c0.85 ± 0.41622.4 ± 3.29 d48.7 ± 0.66 d1048 ± 8.0 e427 ± 22.8 b50.5 ± 2.75 ef753 ± 17.8 a
Fibror 7912.0 ± 0.58 cd484 ± 18.3 a39,979 ± 19.6 c2244 ± 22.8 c187,200 ± 153.4 d5983 ± 19.7 j48,294 ± 57.0 f2146 ± 101.8 i9.9 ± 8.821223 ± 36.7 cd195 ± 12.5 d4.05 ± 1.787 c1.48 ± 1.10322.5 ± 0.46 d74.7 ± 11.36 c1233 ± 8.3 b477 ± 67.5 ab45.1 ± 10.31 f691 ± 29.5 b
Finola23.3 ± 4.90 a443 ± 0.7 bc33,956 ± 79.7 d2492 ± 116.8 a203,837 ± 34.0 b16,852 ± 32.1 a67,428 ± 30.8 b5439 ± 37.1 a26.6 ± 2.141650 ± 30.2 a302 ± 13.8 a5.92 ± 5.357 a13.84 ± 11.72648.5 ± 5.01 a203.0 ± 16.66 a1445 ± 1.3 a496 ± 26.9 ab165.5 ± 1.63 b606 ± 2.5 c
Futura 7518.9 ± 0.47 b472 ± 0.7 ab41,830 ± 14.1 b2250 ± 44.6 c196,529 ± 23.6 c6740 ± 8.6 i58,347 ± 11.7 c2407 ± 15.5 h17.8 ± 9.331389 ± 7.1 b233 ± 2.2 bc10.06 ± 0.863 b9.31 ± 1.48328.1 ± 0.78 cd106.4 ± 1.15 b1221 ± 0.5 b454 ± 4.5 ab91.2 ± 6.05 d653 ± 3.3 bc
Santhica 2706.3 ± 0.15 d360 ± 8.8 e22,476 ± 14.4 j1991 ± 12.1 d136,888 ± 45.7 j7661 ± 26.1 g40,417 ± 60.1 j2774 ± 44.4 f11.3 ± 0.47921 ± 39.1 g178 ± 13.5 de5.72 ± 2.158 bc0.96 ± 0.20723.5 ± 2.74 cd51.1 ± 1.49 d815 ± 4.3 g347 ± 4.3 b77.0 ± 0.21 de536 ± 1.0 d
Santhica 708.9 ± 0.17 d388 ± 3.4 de26,778 ± 45.2 i2208 ± 0.1 c156,832 ± 49.2 i8629 ± 24.8 d45,683 ± 55.8 h3036 ± 53.4 d15.5 ± 6.191072 ± 37.9 e198 ± 18.1 cd9.50 ± 0.052 b3.85 ± 2.59826.7 ± 3.67 cd45.6 ± 1.81 de979 ± 10.6 f452 ± 81.3 ab78.9 ± 9.85 de606 ± 26.9 c
USO 318.0 ± 0.29 d379 ± 4.2 e32,815 ± 28.6 f2020 ± 8.8 d160,414 ± 29.2 g8331 ± 8.0 f46,211 ± 36.3 g2900 ± 33.3 e14.7 ± 4.001222 ± 22.7 cd199 ± 13.6 cd2.88 ± 0.277 c0.52 ± 0.24026.7 ± 1.79 cd46.3 ± 0.11 de1149 ± 1.5 c415 ± 23.6 b54.4 ± 18.58 ef729 ± 27.0 ab
Mean ± SD13.0 ± 5.74416 ± 50.833,562 ± 6189.42250 ± 167.6171,754 ± 27,113.08358 ± 3342.750,232 ± 11,015.02880 ± 986.015.7 ± 7.261237 ± 227.2211 ± 39.27.30 ± 6.2933.18 ± 4.80328.6 ± 8.8473.7 ± 48.081138 ± 184.6445 ± 54.597.2 ± 59.26654 ± 85.2
SEM1.1710.41236.534.65413.7667.22199.6197.31.4846.48.01.2850.9801.819.8137.511.112.1017.4
p<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001ns<0.001<0.001<0.001ns<0.001<0.001<0.0010.048<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; a–l Values within a column with different superscripts differ significantly at p < 0.05.
Table 9. Profile and composition of unsaturated fatty acids in different linseed varieties (mg/kg).
Table 9. Profile and composition of unsaturated fatty acids in different linseed varieties (mg/kg).
Variety14:1-n516:1-n718:1-n918:1-n718:2-n618:3-n618:3-n318:2 (9,11)18:2 (10,12)20:1-n920:2-n620:3-n620:4-n620:3-n320:5-n322:1-n922:5-n324:1-n922:6-n3
Agram4.65 ± 0.430 bc477 ± 6.1 b81,089 ± 12.2 f2962 ± 9.8 c133,735 ± 37.1 b44.2 ± 6.42 c216,382 ± 38.1 i153 ± 4.6 bc27.8 ± 3.72586 ± 0.6 c374 ± 12.0 bc242 ± 0.1 cd14.36 ± 0.212 a172 ± 0.1 g36.1 ± 0.85 ab732 ± 3.2 cd455 ± 6.1 bc197 ± 2.2 d362 ± 4.5 c
Agriol3.88 ± 0.660 c290 ± 7.1 h41,556 ± 36.6 k2132 ± 23.3 g69,337 ± 596.9 f33.0 ± 3.21 cd6742 ± 11.5 j267 ± 2.1 a30.3 ± 2.19314 ± 5.3 e174 ± 6.8 e9 ± 0.6 f0.68 ± 0.256 c3 ± 1.5 i33.5 ± 2.48 b326 ± 5.6 i266 ± 36.9 d51 ± 3.2 g710 ± 7.0 a
Astella6.53 ± 2.655 b408 ± 0.5 e65,039 ± 13.8 i2942 ± 68.4 cd61,581 ± 58.7 h48.9 ± 7.92 bc259,965 ± 160.1 e148 ± 2.5 bc44.3 ± 1.86504 ± 29.0 d350 ± 9.1 c255 ± 8.3 c2.08 ± 1.325 bc249 ± 11.1 de14.1 ± 2.82 ef728 ± 14.4 d388 ± 59.8 c182 ± 2.3 e170 ± 1.7 e
Bethune3.23 ± 0.266 c382 ± 10.0 f92,183 ± 27.5 b2810 ± 10.8 e76,127 ± 24.4 e41.4 ± 11.72 cd269,595 ± 15.4 d148 ± 12.3 bc29.0 ± 1.74784 ± 37.5 a394 ± 22.2 b260 ± 7.0 bc6.36 ± 1.764 b306 ± 1.6 b15.8 ± 3.00 ef684 ± 7.1 e463 ± 9.5 bc223 ± 4.0 b201 ± 4.6 d
Bukoz3.05 ± 0.016 c305 ± 7.8 g62,500 ± 39.6 j2785 ± 18.1 e84,330 ± 82.7 c37.5 ± 1.42 cd344,000 ± 85.3 a159 ± 9.3 bc22.9 ± 4.58612 ± 24.7 bc359 ± 11.5 bc247 ± 3.2 cd4.41 ± 1.793 bc344 ± 1.6 a17.2 ± 1.47 e615 ± 0.1 g411 ± 11.7 c168 ± 0.0 f169 ± 0.5 e
Floral2.04 ± 0.540 c455 ± 9.6 cd84,351 ± 15.1 e2965 ± 1.6 c64,306 ± 52.2 g61.8 ± 3.44 b232,153 ± 43.8 g155 ± 23.8 bc37.2 ± 9.60654 ± 33.8 b443 ± 38.4 a271 ± 1.3 b6.73 ± 3.044 b291 ± 0.7 c27.9 ± 1.40 c842 ± 13.7 a541 ± 11.7 a238 ± 1.5 a202 ± 0.5 d
Koral3.52 ± 0.408 c571 ± 0.1 a93,854 ± 51.2 a3496 ± 2.2 a57,537 ± 1014.0 i29.1 ± 0.42 d216,761 ± 47.2 h92 ± 27.2 d13.7 ± 11.67603 ± 7.6 c337 ± 20.7 cd254 ± 9.6 c3.45 ± 1.453 bc258 ± 11.7 d17.6 ± 1.00 e517 ± 5.4 h456 ± 31.1 bc210 ± 6.5 c206 ± 8.4 d
Raciol3.89 ± 0.479 c437 ± 3.3 d71,478 ± 9.9 h2551 ± 37.4 f233,120 ± 21.4 a126.4 ± 8.82 a188,254 ± 57.0 k154 ± 03.7 bc21.7 ± 0.34577 ± 4.0 c291 ± 12.0 d146 ± 2.9 e4.62 ± 3.466 bc155 ± 2.7 h39.4 ± 0.92 a633 ± 6.1 f464 ± 15.9 bc169 ± 2.3 f450 ± 6.9 b
Spring2.84 ± 0.534 c395 ± 2.2 f86,473 ± 59.6 d2895 ± 26.4 d76,436 ± 83.9 e38.0 ± 2.27 cd291,796 ± 10.7 c111 ± 35.0 cd14.7 ± 13.20581 ± 25.7 c305 ± 12.2 d240 ± 3.7 d5.48 ± 5.837 bc209 ± 2.6 f10.3 ± 0.16 f814 ± 0.0 b501 ± 33.0 ab192 ± 1.4 d173 ± 1.3 e
Szafir5.00 ± 0.484 bc469 ± 4.8 bc80,301 ± 22.5 g3158 ± 22.9 b61,380 ± 20.6 h40.8 ± 9.66 cd301,285 ± 27.4 b138 ± 24.5 c30.5 ± 6.25555 ± 26.6 c372 ± 19.5 bc242 ± 11.5 cd4.47 ± 0.024 bc255 ± 1.0 de13.5 ± 0.11 f747 ± 1.4 c481 ± 4.7 b238 ± 8.6 a165 ± 8.0 e
Winter10.58 ± 0.690 a459 ± 3.7 c87,807 ± 32.7 c2994 ± 40.2 c79,209 ± 27.3 d53.6 ± 1.88 bc244,113 ± 34.0 f180 ± 17.6 b33.7 ± 12.82650 ± 13.3 bc366 ± 13.9 bc285 ± 7.2 a2.42 ± 1.115 bc246 ± 5.1 e24.1 ± 0.74 d835 ± 2.9 a488 ± 16.6 ab244 ± 0.9 a212 ± 1.0 d
Mean ± SD4.47 ± 2.398422 ± 78.076,966 ± 15,629.72881 ± 342.190,645 ± 51,656.850.4 ± 26.60251,910 ± 46,830.6155 ± 45.227.8 ± 10.54584 ± 112.8342 ± 68.9223 ± 77.65.01 ± 3.941226 ± 90.222.7 ± 9.92679 ± 150.1447 ± 73.7192 ± 52.9275 ± 166.8
SEM0.51116.6325.271.510,748.75.6718,181.39.62.2524.114.716.60.84019.22.1232.015.711.335.6
p<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001ns<0.001<0.001<0.0010.013<0.001<0.001<0.001<0.001<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; a–k Values within a column with different superscripts differ significantly at p < 0.05.
Table 10. Summary of total, saturated, monounsaturated, polyunsaturated fatty acids, n-3 and n-6 fatty acids, and the n6/n3 ratio in different hemp seed varieties (g/kg).
Table 10. Summary of total, saturated, monounsaturated, polyunsaturated fatty acids, n-3 and n-6 fatty acids, and the n6/n3 ratio in different hemp seed varieties (g/kg).
VarietyƩ FAƩ SFAsƩ MUFAsƩ PUFAsƩ n-3Ʃ n-6n-6/n-3
Białobrzeskie241.2 ± 0.50 j27.3 ± 0.07 g35.6 ± 0.06 i178.4 ± 0.41 l34.7 ± 0.13 l141.3 ± 0.25 l4.07 ± 0.008 a
Carmagnola296.7 ± 0.62 f30.3 ± 0.27 d38.3 ± 0.08 e228.1 ± 0.27 f55.8 ± 0.11 e170.3 ± 0.14 g3.05 ± 0.003 j
Dioica 88390.1 ± 0.83 a36.9 ± 0.10 a51.0 ± 0.05 a302.2 ± 0.14 a70.0 ± 0.06 a230.4 ± 0.03 a3.29 ± 0.002 g
Earlina 8 FC309.1 ± 0.33 e29.2 ± 0.01 e36.3 ± 0.10 h243.6 ± 0.13 e58.1 ± 0.08 d181.6 ± 0.06 e3.13 ± 0.003 i
Felina 32275.0 ± 0.61 i26.9 ± 0.06 g38.4 ± 0.11 e209.8 ± 0.46 j40.8 ± 0.13 k166.3 ± 0.21 i4.08 ± 0.008 a
Ferimon 12287.7 ± 0.80 g26.9 ± 0.27 g36.6 ± 0.09 g224.3 ± 0.29 g44.3 ± 0.41 i176.8 ± 0.07 f3.99 ± 0.039 b
Fibror 79323.9 ± 0.87 d33.6 ± 0.32 c45.2 ± 0.12 c245.1 ± 0.44 d49.6 ± 0.14 f193.4 ± 0.19 d3.90 ± 0.008 c
Finola370.2 ± 0.29 b34.7 ± 0.03 b40.2 ± 0.07 d295.3 ± 0.19 b68.8 ± 0.08 b221.0 ± 0.07 b3.21 ± 0.003 h
Futura 75346.7 ± 0.40 c33.9 ± 0.32 c47.3 ± 0.04 b265.5 ± 0.04 c59.6 ± 0.00 c203.5 ± 0.03 c3.42 ± 0.000 f
Santhica 27239.0 ± 0.59 k23.4 ± 0.32 h26.7 ± 0.08 k188.9 ± 0.19 k41.4 ± 0.07 j144.7 ± 0.08 k3.50 ± 0.003 e
Santhica 70275.1 ± 0.47 i28.1 ± 0.05 f31.5 ± 0.10 j215.5 ± 0.32 i46.8 ± 0.17 h165.7 ± 0.10 j3.54 ± 0.011 d
USO 31284.7 ± 0.51 h27.8 ± 0.27 f37.7 ± 0.07 f219.3 ± 0.18 h47.4 ± 0.09 g170.0 ± 0.05 h3.56 ± 0.006 d
Mean ± SD303.3 ± 46.2229.9 ± 3.9438.7 ± 6.51234.7 ± 37.3151.4 ± 10.88180.3 ± 26.903.56 ± 0.360
SEM9.440.801.337.622.225.490.073
p<0.001<0.001<0.001<0.001<0.001<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; FA—fatty acids; SFAs—saturated fatty acids; MUFAs—monounsaturated fatty acids; PUFAs—polyunsaturated fatty acids; a–l Values within a column with different superscripts differ significantly at p < 0.05.
Table 11. Summary of total, saturated, monounsaturated, polyunsaturated fatty acids, n-3 and n-6 fatty acids, and the n6/n3 ratio in different linseed varieties (g/kg).
Table 11. Summary of total, saturated, monounsaturated, polyunsaturated fatty acids, n-3 and n-6 fatty acids, and the n6/n3 ratio in different linseed varieties (g/kg).
VarietyƩ FAƩ SFAsƩ MUFAsƩ PUFAsƩ n-3Ʃ n-6n-6/n-3
Agram482.5 ± 4.07 e44.4 ± 4.20 a86.1 ± 0.03 f352.0 ± 0.10 e217.4 ± 0.05 i134.4 ± 0.06 b0.62 ± 0.000 c
Agriol144.5 ± 0.31 i22.3 ± 0.15 d44.7 ± 0.08 k77.6 ± 0.54 k7.8 ± 0.05 k69.6 ± 0.59 f8.97 ± 0.139 a
Astella431.5 ± 0.48 g38.5 ± 0.04 bc69.8 ± 0.13 i323.2 ± 0.31 h260.8 ± 0.23 e62.2 ± 0.08 h0.24 ± 0.000 de
Bethune479.3 ± 0.31 e34.7 ± 0.13 c97.1 ± 0.08 b347.6 ± 0.09 f270.6 ± 0.03 d76.8 ± 0.05 e0.28 ± 0.000 de
Bukoz532.8 ± 0.42 b35.7 ± 0.14 c67.0 ± 0.09 j430.1 ± 0.19 a344.9 ± 0.10 a85.0 ± 0.09 c0.25 ± 0.000 de
Floral432.7 ± 0.30 g44.7 ± 0.05 a89.5 ± 0.07 e298.5 ± 0.18 i233.2 ± 0.05 g65.1 ± 0.09 g0.28 ± 0.000 de
Koral417.7 ± 1.99 h42.4 ± 1.21 ab99.3 ± 0.07 a276.0 ± 0.85 j217.7 ± 0.10 h58.2 ± 0.99 i0.27 ± 0.005 de
Raciol538.6 ± 0.51 a39.6 ± 0.69 b75.9 ± 0.06 h423.2 ± 0.12 b189.4 ± 0.08 j233.7 ± 0.04 a1.23 ± 0.000 b
Spring496.2 ± 0.61 c35.0 ± 0.32 c91.4 ± 0.12 d369.8 ± 0.18 c292.7 ± 0.05 c77.0 ± 0.08 e0.26 ± 0.000 de
Szafir490.5 ± 0.78 d40.7 ± 0.58 b85.5 ± 0.09 g364.4 ± 0.11 d302.2 ± 0.04 b62.0 ± 0.04 h0.21 ± 0.000 e
Winter457.3 ± 0.10 f39.1 ± 0.06 b93.0 ± 0.03 c325.2 ± 0.13 g245.1 ± 0.06 f79.9 ± 0.05 d0.33 ± 0.000 d
Mean ± SD445.8 ± 104.7737.9 ± 6.1781.7 ± 15.80326.15 ± 92.48234.7 ± 85.2491.3 ± 50.41.18 ± 2.540
SEM22.341.323.3719.7218.1710.750.541
p<0.001<0.001<0.001<0.001<0.001<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; FA—fatty acids; SFAs—saturated fatty acids; MUFAs—monounsaturated fatty acids; PUFAs—polyunsaturated fatty acids; a–k Values within a column with different superscripts differ significantly at p < 0.05.
Table 12. Amino acid content (g/kg) in different hemp seed varieties.
Table 12. Amino acid content (g/kg) in different hemp seed varieties.
VarietyAsp + AsnThrSerGlu + GlnProGlyAlaValIleLeuTyrPheHisLysArgCysMet
Białobrzeskie23.6 ± 0.08 b7.38 ± 0.032 bc10.8 ± 0.17 bc39.4 ± 0.23 b9.18 ± 0.069 b9.85 ± 0.148 b9.88 ± 0.190 bc10.8 ± 0.14 bc8.92 ± 0.124 bc14.8 ± 0.24 bc6.71 ± 0.138 c10.30 ± 0.152 b6.34 ± 0.033 bc7.80 ± 0.123 bc26.1 ± 0.42 b3.84 ± 0.068 c5.25 ± 0.118 c
Carmagnola26.3 ± 1.21 a8.15 ± 0.329 a11.9 ± 0.51 a44.1 ± 2.08 a10.20 ± 0.459 a10.87 ± 0.451 a10.95 ± 0.529 a11.8 ± 0.55 a9.96 ± 0.438 a16.5 ± 0.73 a7.85 ± 0.421 a11.30 ± 0.471 a6.84 ± 0.306 a8.18 ± 0.286 b28.8 ± 1.28 a4.05 ± 0.071 bc5.74 ± 0.159 b
Dioica 8825.4 ± 0.51 a7.95 ± 0.307 ab11.5 ± 0.31 ab42.9 ± 1.13 ab9.37 ± 0.080 b10.68 ± 0.160 a10.53 ± 0.136 a11.3 ± 0.17 ab9.57 ± 0.173 ab16.0 ± 0.30 a7.25 ± 0.207 b10.90 ± 0.254 a6.77 ± 0.115 a8.83 ± 0.214 a28.0 ± 0.52 a4.46 ± 0.181 a5.77 ± 0.399 ab
Earlina 8 FC23.7 ± 0.30 b7.35 ± 0.004 bc10.9 ± 0.06 b39.1 ± 0.33 b8.59 ± 0.052 c9.79 ± 0.253 b9.87 ± 0.297 bc10.7 ± 0.24 bc8.97 ± 0.164 bc14.9 ± 0.28 bc6.62 ± 0.081 c10.23 ± 0.219 bc6.41 ± 0.116 b7.81 ± 0.115 bc26.3 ± 0.48 b4.30 ± 0.268 ab6.22 ± 0.328 a
Felina 3223.4 ± 0.02 b7.35 ± 0.051 bc10.6 ± 0.02 bc38.8 ± 0.16 bc8.95 ± 0.119 bc9.52 ± 0.044 bc9.57 ± 0.021 bc1.0.6 ± 0.01 bc8.73 ± 0.047 c14.5 ± 0.00 bc6.42 ± 0.031 cd10.17 ± 0.023 bc6.18 ± 0.037 bc7.58 ± 0.082 c25.3 ± 0.08 bc4.13 ± 0.051 bc5.87 ± 0.230 ab
Ferimon 1222.3 ± 0.35 c7.00 ± 0.032 cd10.1 ± 0.17 cd36.8 ± 0.81 c8.09 ± 0.005 d9.13 ± 0.213 c9.10 ± 0.197 c1.0.0 ± 0.14 cd8.33 ± 0.163 cd13.8 ± 0.27 cd6.06 ± 0.270 d9.56 ± 0.168 c6.09 ± 0.090 c7.42 ± 0.159 cd24.3 ± 0.76 c3.99 ± 0.019 bc5.83 ± 0.083 ab
Fibror 7920.7 ± 0.09 d6.55 ± 0.094 d9.4 ± 0.11 d34.5 ± 0.18 cd7.60 ± 0.054 e8.61 ± 0.025 d8.58 ± 0.015 d9.6 ± 0.02 d7.79 ± 0.052 d12.9 ± 0.09 d5.66 ± 0.050 d8.98 ± 0.052 d5.58 ± 0.031 d7.32 ± 0.035 cd22.8 ± 0.13 d4.11 ± 0.119 bc5.48 ± 0.063 bc
Finola23.6 ± 0.03 b7.55 ± 0.056 b11.0 ± 0.03 b39.6 ± 0.60 b8.54 ± 0.251 cd9.81 ± 0.158 b9.96 ± 0.089 b10.9 ± 0.35 b9.20 ± 0.068 b15.1 ± 0.01 b6.60 ± 0.109 c10.18 ± 0.170 bc6.16 ± 0.086 bc7.63 ± 0.283 c26.5 ± 0.22 b4.28 ± 0.218 ab6.01 ± 0.394 ab
Futura 7522.7 ± 0.60 bc7.06 ± 0.455 c10.2 ± 0.70 c37.4 ± 1.86 bc8.60 ± 0.364 c9.50 ± 0.349 bc9.43 ± 0.256 c10.2 ± 0.21 c8.54 ± 0.271 cd14.2 ± 0.47 c6.49 ± 0.172 cd9.73 ± 0.342 c6.12 ± 0.107 c7.97 ± 0.335 bc24.5 ± 0.91 c3.81 ± 0.185 c5.34 ± 0.112 bc
Santhica 2722.2 ± 0.01 c6.94 ± 0.017 cd10.0 ± 0.02 cd36.2 ± 0.01 cd8.09 ± 0.064 d9.10 ± 0.041 cd9.23 ± 0.014 c10.3 ± 0.13 c8.36 ± 0.021 cd13.8 ± 0.10 cd5.71 ± 0.256 d9.68 ± 0.020 c5.88 ± 0.104 cd7.39 ± 0.059 cd23.0 ± 0.31 cd3.83 ± 0.072 c5.12 ± 0.123 c
Santhica 7021.6 ± 0.67 cd6.58 ± 0.302 d9.4 ± 0.52 d34.4 ± 1.58 d7.68 ± 0.280 de8.80 ± 0.352 cd8.94 ± 0.377 cd10.0 ± 0.28 cd8.12 ± 0.331 d13.4 ± 0.52 d5.73 ± 0.326 d9.49 ± 0.331 c5.72 ± 0.194 d6.98 ± 0.189 d22.3 ± 1.19 d3.82 ± 0.027 c5.24 ± 0.105 c
USO 3121.6 ± 0.13 cd6.70 ± 0.140 cd9.8 ± 0.02 cd35.2 ± 0.40 cd7.97 ± 0.051 de8.86 ± 0.040 cd8.97 ± 0.105 cd9.8 ± 0.11 cd8.13 ± 0.048 d13.5 ± 0.03 d5.87 ± 0.151 d9.33 ± 0.008 cd5.89 ± 0.049 cd7.14 ± 0.128 d23.2 ± 0.13 cd4.14 ± 0.085 b5.91 ± 0.066 ab
Mean ± SD23.1 ± 1.627.21 ± 0.51910.5 ± 0.8038.2 ± 3.118.57 ± 0.7599.54 ± 0.7139.58 ± 0.69910.5 ± 0.668.72 ± 0.64114.5 ± 1.076.41 ± 0.6719.99 ± 0.6696.17 ± 0.3857.67 ± 0.50925.1 ± 2.124.06 ± 0.2325.65 ± 0.377
SEM0.330.1060.160.640.1550.1450.1430.130.1310.220.1370.1370.0790.1040.430.0470.077
p<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.0010.0060.004
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; Asp—aspartic acid; Asn—asparagine; Thr—threonine; Ser—serine; Glu—glutamic acid; Gln—glutamine; Pro—proline; Gly—glycine; Ala—alanine; Val—valine; Ile—isoleucine; Leu—leucine; Tyr—tyrosine; Phe—phenylalanine; His—histidine; Lys—lysine; Arg—arginine; Cys—cysteine; Met—methionine; a–d Values within a column with different superscripts differ significantly at p < 0.05.
Table 13. Amino acid content (g/kg) in different linseed varieties.
Table 13. Amino acid content (g/kg) in different linseed varieties.
VarietyAsp + AsnThrSerGlu + GlnProGlyAlaValIleLeuTyrPheHisLysArgCysMet
Agram17.8 ± 0.53 bc6.47 ± 0.383 bc8.21 ± 0.528 bc33.9 ± 2.26 c6.82 ± 0.196 c11.2 ± 0.44 bc8.66 ± 0.256 bc9.30 ± 0.315 b7.78 ± 0.236 bc10.8 ± 0.39 cd4.53 ± 0.179 bc8.54 ± 0.244 cd4.56 ± 0.106 bc7.38 ± 0.350 b17.1 ± 0.47 bc3.37 ± 0.049 d4.11 ± 0.202
Agriol18.0 ± 0.46 bc6.43 ± 0.203 bc8.48 ± 0.339 b36.3 ± 1.03 bc6.74 ± 0.119 cd11.1 ± 0.29 bc8.71 ± 0.261 bc9.19 ± 0.144 bc7.76 ± 0.215 bc11.0 ± 0.30 c4.56 ± 0.130 bc8.80 ± 0.252 c4.45 ± 0.106 c7.17 ± 0.217 bc17.3 ± 0.46 b3.88 ± 0.068 b4.41 ± 0.165
Astella17.6 ± 0.23 bc6.50 ± 0.108 bc8.16 ± 0.086 bc35.5 ± 0.52 bc6.63 ± 0.224 cd10.7 ± 0.13 c8.20 ± 0.079 cd8.87 ± 0.160 c7.37 ± 0.098 cd10.4 ± 0.08 d4.11 ± 0.075 d8.19 ± 0.046 de4.26 ± 0.025 d7.01 ± 0.118 c16.6 ± 0.21 bc3.75 ± 0.033 bc4.28 ± 0.099
Bethune18.3 ± 0.14 b6.70 ± 0.121 b8.51 ± 0.100 b37.2 ± 0.46 b6.72 ± 0.039 cd11.5 ± 0.11 b8.72 ± 0.093 bc9.44 ± 0.122 ab8.05 ± 0.063 b11.0 ± 0.06 c4.41 ± 0.038 c8.83 ± 0.047 c4.52 ± 0.021 bc7.49 ± 0.092 ab17.6 ± 0.59 b3.75 ± 0.142 bc4.26 ± 0.108
Bukoz16.6 ± 0.20 c6.16 ± 0.010 c7.75 ± 0.022 c33.8 ± 0.35 c6.37 ± 0.101 d10.3 ± 0.18 c7.92 ± 0.177 d8.53 ± 0.205 c7.07 ± 0.131 d10.0 ± 0.11 d3.93 ± 0.082 d7.86 ± 0.084 e4.19 ± 0.072 d6.70 ± 0.120 cd16.1 ± 0.23 c3.56 ± 0.008 cd4.20 ± 0.114
Floral19.7 ± 0.06 a7.31 ± 0.023 a9.03 ± 0.091 ab39.1 ± 0.10 ab7.16 ± 0.027 b11.7 ± 0.00 ab9.08 ± 0.021 ab9.77 ± 0.107 a8.36 ± 0.048 ab11.6 ± 0.12 b4.63 ± 0.033 b9.20 ± 0.003 b4.69 ± 0.073 b7.68 ± 0.009 ab18.6 ± 0.25 ab3.57 ± 0.017 c4.47 ± 0.071
Koral17.1 ± 0.93 c6.30 ± 0.306 bc8.13 ± 0.225 bc36.2 ± 1.61 bc6.44 ± 0.154 d10.7 ± 0.11 c8.07 ± 0.052 d8.56 ± 0.168 c7.35 ± 0.115 d10.3 ± 0.17 d4.03 ± 0.084 d8.23 ± 0.180 d4.13 ± 0.063 d6.64 ± 0.070 d16.2 ± 0.84 c4.11 ± 0.088 a4.46 ± 0.099
Raciol19.4 ± 0.05 a7.39 ± 0.008 a9.25 ± 0.065 a39.9 ± 0.35 a7.65 ± 0.094 a12.1 ± 0.07 a9.34 ± 0.090 a9.79 ± 0.010 a8.60 ± 0.054 a12.0 ± 0.11 a5.43 ± 0.090 a9.79 ± 0.060 a4.64 ± 0.089 bc7.74 ± 0.040 a18.6 ± 0.21 ab3.85 ± 0.057 bc4.32 ± 0.042
Spring18.9 ± 0.46 ab6.74 ± 0.160 b8.38 ± 0.147 b36.7 ± 0.92 b6.50 ± 0.213 cd11.6 ± 0.25 ab9.02 ± 0.215 ab9.60 ± 0.140 ab8.01 ± 0.183 bc11.4 ± 0.22 bc4.24 ± 0.116 cd8.81 ± 0.194 c4.97 ± 0.099 a7.55 ± 0.130 ab16.9 ± 0.61 bc3.67 ± 0.235 c4.27 ± 0.243
Szafir19.0 ± 0.24 ab7.04 ± 0.040 ab8.88 ± 0.065 ab39.2 ± 0.27 ab7.20 ± 0.082 b11.4 ± 0.13 b8.92 ± 0.046 b9.57 ± 0.221 ab8.30 ± 0.034 ab11.2 ± 0.08 bc4.57 ± 0.037 bc9.16 ± 0.047 bc4.53 ± 0.077 bc7.33 ± 0.045 bc18.8 ± 0.22 a3.74 ± 0.009 bc4.25 ± 0.139
Winter17.9 ± 0.83 bc6.51 ± 0.403 bc8.33 ± 0.416 b37.2 ± 2.17 b6.35 ± 0.245 d11.1 ± 0.30 bc8.49 ± 0.211 c9.11 ± 0.293 bc7.70 ± 0.285 c10.7 ± 0.35 cd3.95 ± 0.040 d8.39 ± 0.296 d4.50 ± 0.137 c9.63 ± 0.180 cd16.8 ± 0.79 bc4.07 ± 0.029 ab4.10 ± 0.048
Mean ± SD18.2 ± 1.016.69 ± 0.4228.46 ± 0.46436.8 ± 2.146.78 ± 0.41411.2 ± 0.528.65 ± 0.4479.25 ± 0.4577.85 ± 0.47211.0 ± 0.594.40 ± 0.4268.71 ± 0.5484.49 ± 0.2417.24 ± 0.38717.3 ± 1.023.76 ± 0.2244.29 ± 0.157
SEM0.220.0900.0990.460.0880.110.0950.0970.1010.130.0910.1170.0510.0820.220.0480.033
p0.0010.0020.0030.004<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.0010.001<0.001ns
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; ns—not significant; Asp—aspartic acid; Asn—asparagine; Thr—threonine; Ser—serine; Glu—glutamic acid; Gln—glutamine; Pro—proline; Gly—glycine; Ala—alanine; Val—valine; Ile—isoleucine; Leu—leucine; Tyr—tyrosine; Phe—phenylalanine; His—histidine; Lys—lysine; Arg—arginine; Cys—cysteine; Met—methionine; a–e Values within a column with different superscripts differ significantly at p < 0.05.
Table 14. Vitamin and carotenoid content (mg/kg) in different hemp seed varieties.
Table 14. Vitamin and carotenoid content (mg/kg) in different hemp seed varieties.
Varietyα-Tocopherol γ-Tocopherol δ-TocopherolVitamin Aβ-CaroteneLuteinZeaxanthin
Białobrzeskie9.0 ± 0.06 i164 ± 1.1 f22.9 ± 0.23 fnd0.279 ± 0.0021 e34.2 ± 0.28 d0.79 ± 0.006 f
Carmagnola14.3 ± 0.09 e179 ± 0.4 d26.1 ± 0.09 dnd0.248 ± 0.0006 f24.3 ± 0.33 j0.49 ± 0.006 g
Dioica 8816.6 ± 0.38 c212 ± 1.0 a31.0 ± 0.10 bnd0.403 ± 0.0033 c35.2 ± 0.23 c1.08 ± 0.032 d
Earlina 8 FC9.7 ± 0.11 h162 ± 0.5 g22.5 ± 0.17 gnd0.338 ± 0.0024 d43.0 ± 0.12 a1.42 ± 0.029 a
Felina 3212.7 ± 0.22 g174 ± 0.5 e28.1 ± 0.26 cnd0.278 ± 0.0004 e33.7 ± 0.12 e1.21 ± 0.006 b
Ferimon 1213.1 ± 0.14 f179 ± 0.9 d31.7 ± 0.19 and0.220 ± 0.0024 h27.0 ± 0.14 h1.09 ± 0.005 d
Fibror 7917.9 ± 0.16 b113 ± 0.3 j15.9 ± 0.08 ind0.092 ± 0.0019 j13.5 ± 0.07 k0.40 ± 0.001 h
Finola19.5 ± 0.15 a179 ± 1.3 d26.3 ± 0.28 dnd0.436 ± 0.0012 b35.2 ± 0.27 c1.19 ± 0.006 b
Futura 7514.8 ± 0.06 d183 ± 0.5 b31.2 ± 0.10 bnd0.725 ± 0.0045 a37.4 ± 0.03 b1.13 ± 0.009 c
Santhica 2715.1 ± 0.12 d153 ± 0.1 i18.5 ± 0.09 hnd0.248 ± 0.0000 f31.5 ± 0.22 f1.12 ± 0.004 cd
Santhica 7013.2 ± 0.15 f181 ± 0.8 c23.6 ± 0.13 end0.232 ± 0.0023 g30.6 ± 0.37 g0.99 ± 0.005 e
USO 3110.1 ± 0.19 h158 ± 0.2 h18.6 ± 0.24 hnd0.143 ± 0.0000 i25.0 ± 0.14 i1.09 ± 0.003 d
Mean ± SD13.8 ± 3.19170 ± 22.924.7 ± 5.20-0.304 ± 0.160430.9 ± 7.461.00 ± 0.291
SEM0.654.71.06-0.03271.520.059
p<0.001<0.001<0.001-<0.001<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; nd—not detected; a–k Values within a column with different superscripts differ significantly at p < 0.05.
Table 15. Vitamin and carotenoid content (mg/kg) in different linseed varieties.
Table 15. Vitamin and carotenoid content (mg/kg) in different linseed varieties.
Varietyα-Tocopherol γ-Tocopherol δ-TocopherolVitamin Aβ-CaroteneLuteinZeaxanthin
Agram1.25 ± 0.014 e121 ± 0.5 d5.34 ± 0.006 hnd0.091 ± 0.0006 g2.14 ± 0.022 i0.400 ± 0.0065 g
Agriol1.65 ± 0.004 c145 ± 0.3 a7.09 ± 0.034 cnd0.078 ± 0.0007 h1.15 ± 0.013 k0.250 ± 0.0017 i
Astella1.50 ± 0.007 d144 ± 0.2 a6.59 ± 0.012 end0.139 ± 0.0002 c2.65 ± 0.027 g0.510 ± 0.0075 f
Bethune1.28 ± 0.007 e132 ± 0.3 b6.53 ± 0.038 end0.121 ± 0.0008 d3.86 ± 0.031 b0.849 ± 0.0030 a
Bukoz2.09 ± 0.046 a124 ± 0.5 c6.75 ± 0.048 dnd0.114 ± 0.0007 e3.75 ± 0.009 c0.737 ± 0.0032 b
Floral1.84 ± 0.032 b145 ± 0.1 a8.61 ± 0.059 and0.195 ± 0.0021 a3.18 ± 0.012 e0.702 ± 0.0018 c
Koral0.94 ± 0.010 h115 ± 0.9 e6.04 ± 0.009 fnd0.072 ± 0.0006 i1.52 ± 0.013 j0.301 ± 0.0023 h
Raciol1.08 ± 0.056 f132 ± 0.6 b7.82 ± 0.043 bnd0.110 ± 0.0009 f2.88 ± 0.024 f0.584 ± 0.0053 e
Spring0.88 ± 0.004 i105 ± 0.3 f5.73 ± 0.039 gnd0.109 ± 0.0006 f4.02 ± 0.081 a0.690 ± 0.0087 d
Szafir1.49 ± 0.015 d120 ± 0.8 d4.81 ± 0.013 jnd0.193 ± 0.0013 a3.32 ± 0.059 d0.689 ± 0.0078 d
Winter1.01 ± 0.014 g106 ± 0.1 f5.18 ± 0.042 ind0.173 ± 0.0005 b2.55 ± 0.057 h0.581 ± 0.0022 e
Mean ± SD1.36 ± 0.379126 ± 14.26.41 ± 1.124-0.128 ± 0.04232.82 ± 0.9160.572 ± 0.1850
SEM0.0813.00.240-0.00900.1950.0394
p<0.001<0.001<0.001-<0.001<0.001<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; nd—not detected; a–k Values within a column with different superscripts differ significantly at p < 0.05.
Table 16. Cannabinoid content (mg/kg) in different hemp seed varieties.
Table 16. Cannabinoid content (mg/kg) in different hemp seed varieties.
VarietyCBDVACBDVCBDACBGACBGCBDTHCVTHCVACBNΔ9-THCΔ8-THCCBNACBLCBCΔ9-THCACBCACBLAƩ
Białobrzeskie0.118 ± 0.0018 end3.6 ± 0.18 h0.15 ± 0.001 g0.362 ± 0.0126 d1.63 ± 0.011 indndndndndndndndnd0.104 ± 0.0377 f0.685 ± 0.0208 ab6.6 ± 0.19 i
Carmagnola0.091 ± 0.0405 end5.1 ± 0.08 g0.22 ± 0.056 g0.539 ± 0.0089 c6.33 ± 0.023 dndnd0.224 ± 0.0023 c0.405 ± 0.0266 cnd0.042 ± 0.0019 end0.448 ± 0.0412 bnd0.269 ± 0.0418 ef0.868 ± 0.1979 ab14.5 ± 0.35 g
Dioica 880.293 ± 0.1098 dend14.0 ± 0.13 e0.52 ± 0.031 ef0.115 ± 0.0072 f5.02 ± 0.108 endndndndndndnd0.353 ± 0.0007 cnd0.617 ± 0.0791 de0.676 ± 0.3052 ab21.6 ± 0.26 d
Earlina 8 FC0.469 ± 0.0348 dnd9.1 ± 0.08 f0.44 ± 0.015 f0.022 ± 0.0044 g2.12 ± 0.051 hndndndndnd0.070 ± 0.0034 dnd0.171 ± 0.0604 dnd0.437 ± 0.0419 e0.820 ± 0.2329 ab13.7 ± 0.22 h
Felina 321.406 ± 0.0454 bnd29.5 ± 0.20 c0.47 ± 0.000 ef0.217 ± 0.0782 e27.48 ± 0.193 andnd0.473 ± 0.0300 a0.575 ± 0.1442 bnd0.223 ± 0.0093 a0.191 ± 0.0036 a0.532 ± 0.0192 b0.350 ± 0.0285 b1.172 ± 0.1372 c1.087 ± 0.2121 a63.7 ± 0.24 c
Ferimon 120.371 ± 0.0032 dend14.9 ± 0.22 d0.55 ± 0.109 e0.095 ± 0.0004 fg4.32 ± 0.077 gndndndndnd0.137 ± 0.0023 bnd0.147 ± 0.1064 dnd0.567 ± 0.0860 de0.412 ± 0.1768 b21.5 ± 0.40 d
Fibror 790.800 ± 0.0305 cnd13.6 ± 0.04 e0.48 ± 0.003 ef0.106 ± 0.0257 f4.60 ± 0.048 fndndndndnd0.087 ± 0.0254 cnd0.478 ± 0.0436 bnd0.636 ± 0.0903 d0.526 ± 0.3035 ab21.4 ± 0.32 d
Finola3.411 ± 0.4057 and54.8 ± 1.09 a0.52 ± 0.066 ef0.568 ± 0.0009 c17.24 ± 0.082 bndnd0.426 ± 0.0112 b1.946 ± 0.0000 andndnd0.283 ± 0.0027 cdnd2.863 ± 0.0119 and82.1 ± 0.56 a
Futura 751.293 ± 0.0023 bnd53.6 ± 0.55 b3.65 ± 0.021 c0.223 ± 0.0121 e10.98 ± 0.016 cndnd0.051 ± 0.02673 d0.565 ± 0.0837 bndnd0.059 ± 0.0111 b0.666 ± 0.0140 a0.603 ± 0.0749 a1.956 ± 0.2072 b0.639 ± 0.4262 ab74.2 ± 0.28 b
Santhica 27ndnd0.2 ± 0.00 k10.65 ± 0.080 b2.936 ± 0.0295 a0.32 ± 0.034 kndndndndndndnd0.149 ± 0.0171 dnd0.147 ± 0.0172 f0.937 ± 0.1266 a15.4 ± 0.04 f
Santhica 70ndnd1.1 ± 0.08 j11.81 ± 0.015 a2.453 ± 0.0281 b0.34 ± 0.032 kndndndndndndnd0.216 ± 0.0161 dnd0.111 ± 0.0233 f0.639 ± 0.0841 ab16.7 ± 0.01 e
USO 310.022 ± 0.0008 end2.4 ± 0.06 i0.16 ± 0.015 g0.035 ± 0.0192 g0.67 ± 0.001 jndndndndnd0.013 ± 0.0001 fndndnd0.090 ± 0.0100 f0.462 ± 0.0620 b3.9 ± 0.02 j
Mean ± SD0.689 ± 0.9680-16.8 ± 18.842.47 ± 4.1140.639 ± 0.96076.75 ± 8.013--0.098 ± 0.17290.291 ± 0.5594-0.048 ± 0.06980.021 ± 0.05490.287 ± 0.20900.079 ± 0.18970.747 ± 0.84220.646 ± 0.318129.6 ± 26.62
SEM0.1976-3.850.8400.19611.636--0.03530.0112-0.01420.11120.04270.038710.17190.06495.43
p<0.001-<0.001<0.001<0.001<0.001--<0.001<0.001-<0.001<0.001<0.001<0.001<0.0010.023<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; nd—not detected; the values are below the limit of detection (LOD) of the validated method described by Taubner and Czauderna [22], this publication provides the limits of detection (LOD) and limits of quantification (LOQ) for all cannabinoids analyzed in the present study; Δ9-THC—Δ9-tetrahydrocannabinol; Δ9-THCA—Δ9-tetrahydrocannabinolic acid; Δ8-THC—Δ8-tetrahydrocannabinol; CBD—cannabidiol; CBDA—cannabidiolic acid; CBN—cannabinol; CBNA—cannabinolic acid; CBG—cannabigerol; CBGA—cannabigerolic acid; CBC—cannabichromene; CBCA—cannabichromenic acid; THCV—Δ9-tetrahydrocannabivarin; THCVA—Δ9-tetrahydrocannabivarinic acid; CBDV—cannabidivarin; CBDVA—cannabidivarinic acid; CBL—cannabicyclol; a–k Values within a column with different superscripts differ significantly at p < 0.05.
Table 17. Content of putative CBD-like compound (mg/kg) (designed CBD*).
Table 17. Content of putative CBD-like compound (mg/kg) (designed CBD*).
VarietyCBD*
Agramnd
Agriol0.111 ± 0.0031 b
Astella0.013 ± 0.000 g
Bethune0.009 ± 0.0025 h
Bukoz0.114 ± 0.0002 a
Floral0.051 ± 0.0020 e
Koral0.071 ± 0.0005 c
Raciolnd
Spring0.012 ± 0.0001 g
Szafir0.055 ± 0.0015 d
Winter0.028 ± 0.0001 f
Mean ± SD0.042 ± 0.0406
SEM0.0087
p<0.001
Abbreviations: SD—Standard deviation; SEM—Standard error of the mean; nd—not detected; the values are below the limit of detection (LOD) of the validated method described by Taubner and Czauderna [22], this publication provides the limits of detection (LOD) and limits of quantification (LOQ) for all cannabinoids analyzed in the present study; CBD*—cannabidiol related compound; a–h Values within a column with different superscripts differ significantly at p < 0.05.
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Taubner, T.; Englmaierová, M.; Bjelková, M.; Skřivanová, V.; Bejčková, K.; Vít, T.; Růnová, K. Comparative Analysis of the Chemical Composition of Hemp and Linseed Varieties as Key Industrial Commodities. Foods 2026, 15, 2145. https://doi.org/10.3390/foods15122145

AMA Style

Taubner T, Englmaierová M, Bjelková M, Skřivanová V, Bejčková K, Vít T, Růnová K. Comparative Analysis of the Chemical Composition of Hemp and Linseed Varieties as Key Industrial Commodities. Foods. 2026; 15(12):2145. https://doi.org/10.3390/foods15122145

Chicago/Turabian Style

Taubner, Tomáš, Michaela Englmaierová, Marie Bjelková, Věra Skřivanová, Klára Bejčková, Tomáš Vít, and Kateřina Růnová. 2026. "Comparative Analysis of the Chemical Composition of Hemp and Linseed Varieties as Key Industrial Commodities" Foods 15, no. 12: 2145. https://doi.org/10.3390/foods15122145

APA Style

Taubner, T., Englmaierová, M., Bjelková, M., Skřivanová, V., Bejčková, K., Vít, T., & Růnová, K. (2026). Comparative Analysis of the Chemical Composition of Hemp and Linseed Varieties as Key Industrial Commodities. Foods, 15(12), 2145. https://doi.org/10.3390/foods15122145

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