Camelina ( Camelina sativa (L.) Crantz) is an oilseed known for its potential as a low-input biofuel feedstock and its high levels of beneficial fatty acids. We investigated the role of geographical origin in genetic variation and fatty acid content, expecting to find significant variability among 53 accessions and a link between ecogeography and both origin and key oil traits. Amplified fragment length polymorphism (AFLP) fingerprinting revealed high levels of diversity within the 53 accessions. Even though sampling was relatively biased towards the Russian–Ukrainian area, this region was identified as a genetic diversity hotspot and possible centre of origin for camelina. The accessions were categorized by principal coordinate analysis using molecular marker data, enabling identification of links between geographical distribution and these categories. The influence of geographic location on four canola oil quality measures in camelina was evaluated using a geographic information system. These measures were (1) more than 30% α-linolenic acid, (2) less than 3% erucic acid, (3) less than 10% saturated fatty acids, and (4) a ratio of α-linolenic to linoleic acid greater than 1. The results clearly confirm that camelina oil quality characteristics are strongly influenced by environmental factors. The unprecedented high genetic diversity in this group of accessions offers an excellent opportunity to investigate valuable genes for successful adaptation of camelina to specific ecogeographical conditions such as drought.

C. sativa is a valuable oilseed; it has a wide nutritional and technical use. The purpose of this study is a comprehensive study of C. sativa collection accessions in various ecological and geographical conditions to determine the environmental stability parameters. C. sativa All-Russian Institute of Plant Genetic Resources (VIR) collection accessions served as a material source for the study. The study was conducted in four different ecological and geographical regions of the Russian Federation. In the factor structure of the environmental parameters variability two factors are identified covering 94.8% of the variability. The first factor is associated with the precipitation sum (PS) and the temperatures sum (TS) for the vegetation period (68.7%), the second factor is associated with the average daily temperature (TM) for the same period (26.1%). Analysis of the system of correlations between the parameters of stability and plasticity and the value of regression coefficients for meteorological indicators showed that for all the studied features, indicator b closely correlates with regression coefficients for the temperatures sum (TS) and average daily temperature (TM) for the vegetation period. Indicator S_d—with coefficients for the precipitation sum (PS) and average daily precipitation (PM). The result of the study made it possible to identify collection accessions of C. sativa with a high stable adaptability to the contrasting climatic conditions of the studied regions.

Полифенолы Perilla frutescens семейства Lamiaceae, идентифицированные с помощью тандемной масс-спектрометрии

BACKGROUND: The infrared reflection spectroscopy application method for rapid assessment of biochemical parameters in various types of oats is shown. On the basis of the biochemical data obtained in the laboratory of VIR, calibration models of protein, oil and starch content were constructed. AIM: The aim of the study is to develop an express method of near-infrared spectroscopy (NIRS) spectroscopy to determine the main biochemical parameters in oat seeds and to build calibration models for the MATRIX-I IR analyser to quantify the mass fraction of protein, oil and starch in oat seeds based on data obtained by traditional methods. MATERIALS AND METHODS: Biochemical quality indicators (protein, oil, starch) were studied on seeds of filmy oats (Avena sativa L.) grown in 20152016 in the North-Western Region of the Russian Federation. Calibration models for the determination of protein, oil and starch in oat seeds (98 samples, harvest 20142015) were developed for the MATRIX-I IR analyzer by Bruker Optics (Germany). Values obtained by traditional chemical methods of analysis were used to construct calibration models. Oat seed oil was determined by the Soxlet method, protein by the Kjeldahl method, starch by the Evers polarimetric method. All indicators were recalculated for dry weight. RESULTS AND CONCLUSION: The reliability of the developed models was checked by the results of protein, oil and starch determination in the seeds of the test batch according to the indicator of the calibration correctness. The data obtained using the calibration curve on the MATRIX-I device had no significant differences with the results of chemical studies. Therefore, calibration can be used for screening analysis for protein, oil and starch content in oat samples. This method allows you to save valuable material, increase labour productivity due to the speed of obtaining data, does not require reagents and is safe.

Российская коллекция Brassicaceae: от Н.И. Вавилова и Е.Н. Синской до наших дней

Background. Barley (Hordeum vulgare L.) is an important source of nutrients, such as starch, protein, and various dietary fibers. β-Glucans are soluble fibers found in high amounts in oat and barley grain, so they are becoming increasingly interesting due to their numerous functional and bioactive properties. The increased interest in β-glucans as a dietary supplement and a functional component of food calls for a convenient, inexpensive and affordable method for quantitative determination of these compounds.Materials and methods. An overview is given on the existing techniques for determining and isolating β-glucans in cereals: IR spectroscopy, enzymatic, colorimetric, and alkaline-enzymatic methods. Their advantages and disadvantages are shown. The disadvantages of the methods considered include high costs of reagents and equipment, duration of performance, and labor intensity.Results. This study promotes the weight method for isolation and quantitative determination of β-glucans in the grain of covered and naked barley. It is based on the modified alkaline method adapted to barley; we developed it earlier for oat grain. The amount of β-glucans in the grain of the studied barley accessions ranged from 4.12±0.23% to 5.34 ± 0.31% for naked cultivars, and from 3.57 ± 0.18% to 4.29 ± 0.32% for covered ones.Conclusion. Based on the conducted research, optimal conditions for the isolation and quantitative determination of β-glucans from barley grain were selected: centrifugation modes, temperature and extraction ratio, concentration of compounds, precipitation and drying procedures. The main advantage of the described method is its accessibility and practical applicability when conducting mass analysis, including studying a collection of cereal crops.