Winter Wheat Samples Research Articles

The influence of flowering periods on productivity characteristics in breeding samples of soft winter wheat created with the involvement of western european ecotypes

Aim. To determine the nature of the influence of flowering periods on productivity traits in soft winter wheat lines, which were created with the involvement of late-ripening samples of the Western European ecotype. Methods. Research methods are field, laboratory, selection-genetic, statistical. Results. The nature of the manifestation of the "date of flowering" trait in hybrids F1-F3 and selection numbers selected from hybrid populations with the participation of Western European ecotypes of soft winter wheat, the correlation dependence of the date of flowering, grain yield, ear length and the duration of the "flowering-maturity" period were established. Optimums for the manifestation of indicators that determined high yield and ear length were established. Conclusions. For each hybrid population created with the participation of parental components contrasting in duration of vegetation, it is necessary to develop a specific selection plan taking into account intra-population correlations of yield, flowering dates and the duration of the "flowering-maturity" period.

Fungal pathogens of mold of winter wheat grains in Rostov region

Long-term monitoring of the colonization of winter wheat grain by fungal mold pathogens that negatively affect the quality of grain during storage, reducing the quality of seed material, food grains and forage, showed that a high level of occurrence on the grain ofRostov winter wheat samples for the period 2014–2021 was manifested by mold fungiMucorspp.,Aspergillusniger,Aspergillusglaucus,Aspergillus flavus, species of the genusPenicillium.Relatively low occurrence was observed inRhizopus nigricansandCladosporium herbarumspecies.Mold pathogens are producers of the most dangerous mycotoxins: ochratoxinA(species ofPenicillium,Aspergillus niger,A. glaucus), aflotoxinB1 (A.flavus), rhizonins (Rhizopusspp.), etc.In the regions ofSouthernRussia, with severe drought in the soil and on the lower parts of plants, the accumulation of the fungusPenicillium purpureogenumis often noted, for some time it could become dominant.When restoring the level of moisture supply, a decrease in the occurrence ofP. purpureogenumwas observed, often to zero, and an increase in the occurrence of mucor fungi (Fusarium solani,F.semitectum), non-circulatingMycelia sterilia fungi, etc., a noticeable increase in the total density of fungal colonies.The highest level of external infection of grain was due to colonization of grain by fungi from thePenicilliumgroup, as well asA. glaucusandA. niger, the highest level of internal infection was caused by thePenicilliumgroup,Rhizopus nigricans,A. niger.The dominance of external infection over internal infection was observed during colonization by penicilli and aspergillus, the dominance of internal over external infection by rhizopus and cladosporium.

Estimation of adaptability parameters of winter common wheat samples at different sowing dates in the forest-steppe of Western Siberia

There has been presented a three-year estimation of winter wheat samples according to adaptability indicators, the trait ‘productivity’, ‘winter resistance’, ‘1000-grain weight’, and ‘number of productive stems per m2’. The purpose of the study was to estimate the adaptive potential of winter common wheat varieties in the forest-steppe of Western Siberia at different sowing dates. The study was conducted in the laboratory for field crop breeding, seed production and cultivation technologies based on SibRIPCB, the branch of Institute of Cytology and Genetics, SB RAS (Novosibirsk region) in 2018–2022. The objects of study were 5 winter common wheat varieties developed by the SibRIPCB, a branch of the Institute of Cytology and Genetics SB RAS. Sowing was carried out in three periods (the first was in August 20, the second was in September 1 and the third was in September 10) with an SSFC-7 seeder in 5 repetitions, the recording plot area was 10 m², the placement of the plots was randomized, the crops were laid in weedfree fallow. As a result, there was established that, according to the trait ‘productivity’, the varieties ‘Novosibirskaya 2’ (bi = 1.42; δd² = 0.08) and ‘Novosibirskaya 3’ (bi = 1.35; δd² = 0.08) combined ecological adaptability and stability. The variety ‘Novosibirskaya 3’ also combined adaptability and stability according to the trait ‘number of productive stems per m2’ (bi = 1.09; δd² = 468.94). The winter variety ‘Krasnoobskaya’ is capable of consistently giving high yields ((Ymax+Ymin)/2 = 4.92; (Sc = 3.42); Hom = 26.2) and maintaining the density of productive stems ((Ymin–Ymax) = -280; Sc = 280.8; (Ymin+Ymax)/2 = 513; Hom = 8.9) at different sowing dates. The variety ‘Pamyati Chekurova’ is responsive to improvements in environmental conditions according to the trait ‘productivity’ (bi = 1.10; KM = 2.20), ‘winter resistance’ (bi = 1.53; KM = 2.72), ‘number of productive stems per m2’ (bi = 1.22; KM = 2.2).

Microwave plasma atomic emission spectroscopy (MP-AES)—A useful tool for the determination of silicon contents in plant samples?

The accurate quantification of silicon (Si) contents in plant materials represents a fundamental prerequisite for agricultural plant-soil system or terrestrial ecosystem studies. Si contents in plants are usually calculated from Si concentrations determined spectroscopically in corresponding plant extracts. Inductively coupled plasma optical emission spectrometry (ICP-OES) is widely used in environmental sciences for Si measurements, because this technique is characterized by relatively high sensitivity and low expenditure of human labor. However, as an ICP-OES instrument is also characterized by relatively high acquisition and running costs, it is not readily available to most laboratories. Microwave plasma atomic emission spectroscopy (MP-AES) might represent a cost-effective alternative to ICP-OES. In our study we compared the results obtained from ICP-OES and MP-AES measurements of Si concentrations in Tiron extracts of husk and straw samples of winter wheat (Triticum aestivum) to evaluate the capability of the MP-AES technique for the determination of Si contents in plant materials. Moreover, we correlated these results with data on plant available Si concentrations in corresponding soil samples as well as phytolith contents in the husk and straw samples to evaluate the performance of MP-AES in biogeochemical Si plant-soil studies. Based on our results we found MP-AES to represent a suitable technique for the reliable determination of Si concentrations in Tiron extracts with negligible matrix effects. Our results clearly indicate that MP-AES represents a promising alternative for all researchers with a focus on biogeochemical Si cycling in general.

Spatiotemporally Mapping Non-Grain Production of Winter Wheat Using a Developed Auto-Generating Sample Algorithm on Google Earth Engine

Spatiotemporally mapping winter wheat is imperative for informing and shaping global food security policies. Traditional mapping methods heavily rely on sufficient and reliable samples obtained through labor-intensive fieldwork and manual sample collection. However, these methods are time-consuming, costly, and lack timely and continuous data collection. To address these challenges and fully leverage remote sensing big data and cloud computing platforms like Google Earth Engine (GEE), this paper developed an algorithm for Auto-Generating Winter Wheat Samples for mapping (AGWWS). The AGWWS utilizes historical samples to determine the optimal migration threshold by measuring Spectral Angle Distance (SAD), Euclidean Distance (ED), and Near-Infrared band Difference Index (NIRDI). This facilitates the auto-generation of winter wheat sample sets for the years 2000, 2005, 2010, 2015, and 2021. Approximately two-thirds of the samples were allocated for training, with the remaining one-third used for validating the mapping method, employing the One-Class Support Vector Machine (OCSVM). The Huang–Huai–Hai (HHH) Plain, a major winter wheat production region, was selected to perform the algorithm and subsequent analysis on. Different combinations of the hyper-parameters, gamma and nu, of the OCSVM based on the Gaussian Radial Basis Function Kernel were tested for each year. Following correlation analysis between the winter wheat area derived from the generated maps and the national statistical dataset at the city level, the map with the highest corresponding R2 was chosen as the AGWWS map for each year (0.77, 0.77, 0.80, 0.86, and 0.87 for 2000, 2005, 2010, 2015, and 2021, respectively). The AGWWS maps ultimately achieved an average Overall Accuracy of 81.65%. The study then explores the Non-Grain Production of Winter Wheat (NGPOWW) by analyzing winter wheat change maps from 2000–2005, 2005–2010, 2005–2010, and 2015–2021 in the HHH Plain. Despite an overall increase in the total planted area of winter wheat, the NGPOWW phenomena has led to concerning winter wheat planting marginalization. Compensatory winter wheat areas are notably situated in mountainous and suburban cultivated lands with low qualities. Consequently, despite the apparent expansion in planted areas, winter wheat production is anticipated to be adversely affected. The findings highlight the necessity for improved cultivated land protection policies monitoring the land quality of the compensation and setting strict quota limits on occupations.

Rust resistance of wheat and triticale samples in different plant growing stages

Aim. To study resistance to leaf, yellow and stem rusts of winter and spring wheat and winter triticale samples from the collection of the N. I. Vavilov All‐Russian Institute of Plant Genetic Resources (VIR) and breeding centres of southern Russia in different phases of ontogenesis and to identify new sources with group resistance. Material and Methods. The resistance of 158 wheat and triticale samples from the VIR collection and southern breeding centres to populations of leaf, stem and yellow rusts in different plant growth stages was analysed. In the juvenile phase the samples studied were inoculated with populations of rust fungi in climate chambers of the Federal Research Centre of Biological Plant Protection and the type of plant reaction to lesions was noted. In field conditions the samples were evaluated according to the CIMMYT scale on an artificial infectious background. Results. In the adult plant stage under field conditions 79 wheat and triticale samples with group resistance to leaf, yellow and stem rusts were identified, and in the juvenile stage 26 samples. 22 samples showed resistance to three rusts in both phases of ontogenesis. Of these, 5 samples belong to the VIR collection, 3 winter triticale varieties (Dozor, Knyaz, Svat) and the Kavalerka wheat variety selection of the P.P. Lukyanenko National Grain Centre, 9 lines from the Donskoy Agrarian Research Centre and the Federal Rostov Agrarian Research Centre, and 4 winter triticale varieties (Ataman Platov, Zimogor, Kapral, Legion) of selections of the Federal Rostov Agrarian Research Centre. Conclusion. The samples of wheat and winter triticale with group resistance which have been identified are promising for use in breeding for immunity to rust diseases.

Adaptability of spelt winter wheat samples created by hybridization of Triticum aestivum L. × Triticum spelta L.

Adaptability of spelt winter wheat samples created by hybridization of Triticum aestivum L. × Triticum spelta L.

Sprouting energy and laboratory germination ability of soft winter wheat samples

Sprouting energy and laboratory germination ability of soft winter wheat samples

THE STRUCTURE OF THE WORLD COLLECTION OF WINTER SOFT WHEAT IN TERMS OF DISEASE RESISTANCE IN THE SOUTHERN FOREST-STEPPE OF UKRAINE

To prevent crop losses from pathogens, new varieties with a broad genetic basis of group resistance should be introduced into the production process. The purpose of research was to describe the collection of soft winter wheat in terms of resistance to the most common diseases in the conditions of the southern forest-steppe of ukraine. 1406 samples of soft winter wheat (Triticum aestivum L.) From 33 countries were taken for research. The significant influence of the amount of precipitation and the level of hydrothermal coefficient (HTC) on the indicator of the number of susceptible samples of wheat to specific pathogens of soft winter wheat was established. Selection work has significantly influenced the creation of more stable varieties in recent years compared to the 70's of the twentieth century. The method of remote hybridization using foreign genes helps to obtain lines more resistant to specific pathogens of soft winter wheat. Creating a special collection of samples resistant to the most common diseases of soft winter wheat allows you to systematize the selection of parental lines on specific grounds.

Species diversity of Fusarium head blight and deoxynivalenol (DON) levels in Western Canadian wheat fields

Fusarium head blight (FHB) is primarily caused by Fusarium graminearum and is the most destructive wheat disease in western Canada. The trichothecene toxin deoxynivalenol (DON) and its derivatives 3-ADON and 15-ADON, which are produced by Fusarium, are toxic to humans and livestock. This study aimed to evaluate the Fusarium species and trichothecene-producing genotypes present in producer wheat fields of western Canada in 2019 and 2020. The grain analysis for DON showed that samples collected from both years experienced mild levels of FHB toxin contamination. In spring wheat, the highest mean DON content was recorded from Saskatchewan samples (0.9 ppm) in 2019 and Manitoba samples (0.3 ppm) in 2020. Winter wheat samples had lesser mean DON levels (<0.2 ppm) for all three provinces in both years. The chaff collected from the same spring wheat heads showed a significantly higher DON content than the grain in both years (P < 0.1 for 2019 and P < 0.001 for 2020), suggesting that chaff should be tested for DON before use as livestock feed. Most samples collected were infected by F. graminearum, with the highest F. graminearum percentage observed in the spring wheat from Manitoba. Further, F. avenaceum, F. sporotrichoides, F. culmorum, F. poae and F. acuminatum were found in infected samples. Most of the F. graminearum isolates were of the 3ADON genotype, which is the dominant genotype in FHB disease in western Canada. The study indicated that 3ADON-producing F. graminearum is becoming more frequent in western Canadian fields than the 15ADON genotype.

Evaluation of collection samples of soft winter wheat of the Ivanivsk research and selection station as starting material for hybridization

Aim. Highlighting the results of the study of breeding value in terms of winter hardiness, plant height, weight of 1000 seeds and yield variety samples of soft winter wheat cultivars of domestic selection, selected for hybridization in the collection nursery of the Institute's Ivanivka research and breeding station of bioenergy crops and sugar beets of the National Agricultural Academy of Ukraine. Methods. The research was conducted in sowing in the 2020-2021 cropping year in the southern forest-steppe zone of Ukraine. The object of the study were variety samples of the domestic selection of the lutescens type (10) and erythrospermum (15), who grew and studied their biological and economic characteristics according to generally accepted classical methods. Results. The average value of winter hardiness of the studied variety samples of both types was above 8 points. All studied variety samples were medium-sized with a low level of plant height variability. The weight of 1,000 seeds of the studied variety samples was about 44 g on average, the level of variability for this characteristic was low in the lutescens type, and medium in the erythrospermum type. The average yield of variety samples of both types was higher than 6 t/ha. Conclusions. The studied variety samples were characterized by an optimal and high level of manifestation of economic and valuable traits, therefore they were recommended for practical use in breeding as a starting material for hybridization. The studied variety samples are suitable for use in production crops in the Southern Forest-Steppe zone of Ukraine.

Correlation of grain protein content with utilitarian characters in breeding samples of winter wheat, created with the involvement of western european ecotypes

Aim. To establish correlation-regression models of dependences of grain protein with the duration of the interphase period "flowering- grain maturity" and grain yield in elite numbers in breeding nurseries. Methods. Field research was carried out at the Institute of Irrigated Agriculture of the National Academy of Sciences in 2019-2021. The object of research was modern winter wheat varieties of the Institute; collection samples of the Western European ecotype that were introduced from France and hybrids created with their participation Research methods are field, laboratory, biochemical, selection-genetic, statistical. Results. The nature of the manifestation of the trait "grain protein" in selection numbers selected from hybrid populations with the participation of Western European ecotypes of soft winter wheat, correlation-regression models of the dependence of protein, grain yield and the duration of the "flowering-maturity" period were established. The duration of the period "flowering-ripeness" ranged from 45 to 52 days in the best numbers, and each original hybrid combination had its own optimum, which determined high yield and protein content of the grain. Conclusions. For each hybrid population created with the participation of parental components contrasting in duration of vegetation, it is necessary to develop a specific selection plan taking into account intra-population correlation-regression models of productivity, grain protein content and the duration of the "flowering-maturity" period.

PRODUCTION OF SPECIFIC FLOUR FOR FROZEN PRODUCTS BY FLOUR STREAMS BLENDING

The bakery industry requires specific quality flours to manufacture different products. For the production of frozen products, strong flour with specific quality indicators is required, which is caused by the deterioration of the structural and mechanical properties of the dough after defrosting, decrease in the gas–holding capacity and dimensional stability of the dough blanks. Based on the literary review and a priori information the following quality indicators are recommended for flour for frozen products: whiteness &gt;54 units, protein content &gt;12.0%, gluten content &gt;28.0%, GDI in the range of 70–80 units, starch damage in the range of 19–22 UCD, WAC &gt;57%, W &gt;260∙10–4 J and P/L ratio in the range of 0.8–1.2.&#x0D; Milling process of the wheat generates different flour streams that differ in composition, particle size, functional and baking properties. Furter all flour mill streams are blended in one straight grade (single grade milling) or multiple flour grades (split milling). Research in the article is to investigate the quality indicators of flour mill streams for further formation of specific flour for frozen products. For the research, samples of flour were taken from each milling system of the flow diagram during milling of the two hard red winter wheat samples (HW1 and HW2 with protein content 13.3 and 12.2% respectively).&#x0D; Based on the analysis of the quality indicators of flour milling streams and their comparison with the requirements for flour for frozen products, it was established that none of the flour milling streams meets all the flour quality indicators for frozen products – flour streams from systems B3 and B2 have the closest quality indicators. Selected individual flour milling streams that are of great interest as streams for blending for flour for frozen products.&#x0D; As a result of comparing the flour quality indicators obtained at various stages of the technological process with the requirements for flour quality indicators for frozen products flour, the optimal percentage of flour patent yield for frozen products составляет 33.2% for HW1 and 20.5% for HW2.

Analysis of physiological mechanisms of adaptation and resilience of winter wheat accession of different geographical origin

The aim of the study: Analyzing the role of morphotype traits, physiological reactions in adaptation to the conditions of the Left Bank Forest Steppe of Ukraine by studying a wide set of winter wheat collection accessions and identifying valuable samples for further involving them in the local breeding program.&#x0D; Materials and methods: The article contains the results of the research of 318 samples of winter wheat of different ecological and geographical origin from 27 countries according to the complex of morphological traits and physiological reactions to the environmental conditions of the Left Bank Forest Steppe of Ukraine in the 2020-2021 and 2021-2022 growing years. A field evaluation (visual score) was carried out at next parameters: evaluation of the state of plants before wintering; assessment of winter hardiness; assessment of the speed of plant regeneration in the spring; fixation of the earing date; assessment damage by foliar diseases. An assessment of morphological traits was carried out in accordance with the methodology for the examination of varieties of common wheat (Triticum aestivum L.) for DUS-test recommended by UPOV and the State Service, the methodology of physiological research in breeding from CIMMYT and the methodology for the selection of winter-hardy wheat genotypes.&#x0D; Discussion of the results: Significant variation was found for all studied traits. Analysis of temperature indicators in recent years indicates changes in the passage of the autumn and winter periods of wheat vegetation in the Left Bank Forest-Steppe zone of Ukraine. The weather conditions of both years of the study were generally favorable for the overwintering of winter wheat plants. It is worth noting that the overwintering conditions in the 2021-2022 vegetation year were somewhat more difficult, wheat plants were more exhausted due to the presence of sudden temperature increases and decreases. It has been studying, what important for the wheat plants adaptation to the weather conditions is not only frost resistance, but also winter resistance in combination with a high level of growth in the initial stages and good regeneration at the spring period. A correlation was established between the traits of field winter resistance and the intensity of growth in the autumn period (r=0.653) and with the regenerative capacity of plants in the spring period (r=0.835).&#x0D; Conclusions: Selected samples with high winter hardiness and high intensity of spring regeneration - Lira odes’ka, Oberih Myronivskyi, Dykanka (Ukraine) and varieties of foreign origin - Turkuaz (Azerbaijan) and Andrada (Romania). The following samples had increased winter hardiness (7-8 points) and good regeneration in spring (8-9 points) - Oktava odes’ka, Natalka, Zolotava Nosivska, Lehenda Myronivska, Bunchuk, Orzytsia Nova, PS Tashan’ (Ukraine), T67/X84W063-9-45//Karl92/3 (Turkey), AR800-1-3-1/NW97S320, NE10507 (USA). According to the two years results of the evaluation of the resistance of genotypes to Septoria tritici blotch, next samples can be use as resistance sources - Kraevyd, Mahnatka, Spivanka poliska (Ukraine), Arctis (Germany), Apertus (Austria), AR800-1-3- 1/NW97S320 (USA).

Ways to increase the yield of winter wheat (Triticum aestivum L.) Kamyshanka 5 in the conditions of the Lower Volga Region

In recent years, the catalog of applied chemicalization agents has been replenished with a new generation of preparations, which are a complex of compounds containing various bioactive substances, macro- and micro compounds. After treatment of seeds with these biopreparations the time between sowing and sprouting is accelerated, plants build up a strong vegetative mass, the yield and quality of grain as well as resistance to diseases and pests is increased. The aim of our research was to study the effect of complex preparations on the yield and quality of winter wheat. This study conducted in the arid zone of the Lower Volga region in the experimental field of the Federal Research Center of Agroecology RAN from 2018 to 2020 (Russia, Volgograd) the results of the effect of pre-sowing seed treatment with chemical, biological protectants and physiologically active substances and foliar fungicide treatments on winter wheat crops were presented. The objects of research in field experiments were chemical seed dresser (Inshur Perform) and fungicide (Azorro), biological fungicide (BSКa-3), growth regulators (Extrasol and Bio-Don) and organic fertilizer (Рotassium Нumate). During the research, soil samples of light chestnut heavy loam soil and plant samples of winter wheat by phase of development were taken. The results showed that the use of biologically active compounds contributed to the strengthening of growth and development of winter wheat. The maximum number of productive stems–345 pcs/m2, 35.7 grains per ear, weight of a grain per ear 1.10 g, weight of 1000 grains–31.38 g formed plants at plots where only new generation biological preparations were used. Compared with the yield on the variants without treatment (control), the yield at plots with the use of biological preparations was 1.14 t/ha higher.

Ways to increase the yield of winter wheat (Triticum aestivum L.) Kamyshanka 5 in the conditions of the Lower Volga Region

In recent years, the catalog of applied chemicalization agents has been replenished with a new generation of preparations, which are a complex of compounds containing various bioactive substances, macro- and micro compounds. After treatment of seeds with these biopreparations the time between sowing and sprouting is accelerated, plants build up a strong vegetative mass, the yield and quality of grain as well as resistance to diseases and pests is increased. The aim of our research was to study the effect of complex preparations on the yield and quality of winter wheat. This study conducted in the arid zone of the Lower Volga region in the experimental field of the Federal Research Center of Agroecology RAN from 2018 to 2020 (Russia, Volgograd) the results of the effect of pre-sowing seed treatment with chemical, biological protectants and physiologically active substances and foliar fungicide treatments on winter wheat crops were presented. The objects of research in field experiments were chemical seed dresser (Inshur Perform) and fungicide (Azorro), biological fungicide (BSКa-3), growth regulators (Extrasol and Bio-Don) and organic fertilizer (Рotassium Нumate). During the research, soil samples of light chestnut heavy loam soil and plant samples of winter wheat by phase of development were taken. The results showed that the use of biologically active compounds contributed to the strengthening of growth and development of winter wheat. The maximum number of productive stems–345 pcs/m2, 35.7 grains per ear, weight of a grain per ear 1.10 g, weight of 1000 grains–31.38 g formed plants at plots where only new generation biological preparations were used. Compared with the yield on the variants without treatment (control), the yield at plots with the use of biological preparations was 1.14 t/ha higher.

The potential of sodium carbonate and Tiron extractions for the determination of silicon contents in plant samples—A method comparison using hydrofluoric acid digestion as reference

For the determination of silicon (Si) contents in plant materials several methods are in use, but as all of these methods exhibit specific advantages and drawbacks, none of them has become prevalent. Alkaline chemicals are widely used to extract Si from plant samples, because this method is comparably simple, fast, and cheap. However, a comprehensive method comparison between different alkaline extractions to different plant organs is still missing, as well as understanding of the relationship between Si content quantified with those methods and soil silicon availability. In our study we performed two different alkaline (sodium carbonate (Na2CO3) and Tiron) extractions to determine Si contents in husk and straw samples of winter wheat (Triticum aestivum). Results obtained from hydrofluoric (HF) acid digestion were used as reference as this method is assumed to completely dissolve Si in a plant material. We evaluated the efficacy of simple, single-step Na2CO3 and Tiron extractions in relation to complex, multistep HF extractions and analyzed the relationships between Si and phytolith contents in plant samples and plant available Si concentrations in corresponding soil samples. Irrespective of the plant material used (husk or straw) we found Tiron to be more efficient in Si extraction compared to Na2CO3. While Na2CO3 extractions systematically underestimated Si contents in the tested plant materials, the results of Tiron extractions were comparable to the results of HF digestions, at least for husk samples. Phytolith contents in plant samples were strongly positively correlated to Si contents obtained from extractions, especially in husk samples. Plant available Si in soil samples was also reflected best in husk Si contents. Based on our results we recommend the use of Tiron for the extraction of Si from plant materials as this method provided more reliable results compared to the Na2CO3 extraction.

Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm

Machine learning algorithms are a frequently used crop classification method and have been applied to identify the distribution of various crops over regional and national scales. Previous studies have underscored that the number of training samples strongly influences the classification accuracy of machine learning algorithms, resulting in extensive training sample collection efforts. This study, taking winter wheat as an example, challenges the above principle by selecting training samples with the time-weighted dynamic time warping (TWDTW) method and finds that the classification accuracy of machine learning algorithms highly relies on the representativeness and proportion of training samples rather than the quantity. With the increase of the representativeness of training samples, i.e. more comprehensively reflected the characteristics of winter wheat, the classification accuracy is continually improved. The best classification accuracy is further achieved when selecting the training samples of winter wheat and non-winter wheat according to the ratio of their statistical areas. On the contrary, only a slight difference was found in overall accuracy (91.26% and 90.74%), producer’s accuracy (86.33% and 86.65%) and user’s accuracy (97.37% and 96.01%) when using 1,000 and 10,000 training samples. Overall, this study demonstrates that the characteristics of training samples have a great impact on the classification accuracy of machine learning algorithms, and the training samples generated by TWDTW method are reliable for crop mapping.

Grain yield and quality of new winter wheat varieties in the Orel region

Relevance. Winter wheat is one of the main food crops. The introduction of new high-yield varieties and intensive 'high-yield technology' aims to produce high-quality grain of grade 3 or higher, which has high baking qualities.Methods. The production experiment was conducted out in 2019-2021 in Oryol district of Oryol region. The experimental field was surveyed using the OneSoil precision farming platform. The chlorophyll index was measured using a Yara N-tester. The counts and observations were made according to the Methodology for State Crop Testing (1985). Samples of winter wheat were taken in accordance with GOST 12036-85. Gluten content was determined according to GOST R 54478-2011, weight of 1000 seeds – according to GOST 10842-89, mass fraction of protein – according to GOST 10846-91. Grain moisture content – according to GOST 13586.5-93. Statistical processing was performed according to B.A. Dospekhov (1985) using Microsoft Office Exel computer program.Results. It was found that measuring the chlorophyll index during the growing season allows you to monitor the nitrate nitrogen content in the plant and timely nitrogen fertiliser application at scientifically justified rates. The new winter wheat varieties Stork and Leonida, when cultivated using 'intensive high yield technology', have been shown to provide high quality grain yields of more than 10 t/ha. In terms of gluten content, the grains of both varieties belong to the third class and in terms of protein content to the second class, which indicates their high baking qualities.

Analysis of the results of studying the soft winter wheat collection by tolerance to powdery mildew

Topicality. Thanks to analysis and systematization of wheat collection, we will be able to obtain new sources of tolerance and create a trait collection for the developing tolerant varieties suitable for cultivation in different ecozones of Ukraine. Yield losses from pathogens can be reduced by introducing new varieties with a wide genetic base of group tolerance. Purpose. To characterize the soft winter wheat collection in terms of tolerance to powdery mildew in the conditions of the Southern Forest Steppe of Ukraine. Materials and Methods. During 2011–2019, the research was conducted at the Ustymivka Research Station of Plant Production Institute named after V. Ya. Yuriev NAAS of Ukraine. We studied 1406 samples of soft winter wheat (Triticum aestivum L.) from 33 countries, including 53.1 % – Ukrainian origin, 10.1 % – from Turkey, 8.6 % – from the United States, 6.9 % – from Russia, 17.0 % – from Europe. Research methods: field, dialectical, hypothesis, synthesis, induction, statistical, observation. Results. The manifestation of the main foliar diseases on collection samples of soft winter wheat was observed to determine field tolerance to diseases in the following organogenesis stages: autumn tillering, spring budding, stem elongation, beginning of heading, milk-dough maturity. In the early growth and development stages of wheat plants (seedlings – heading), plants were insignificantly damaged by powdery mildew. In the autumn tillering stage, 5 samples out of 234 were not affected by powdery mildew: 831/10, 853/10 (UKR), Pesma (YUG), Gruia, Gloria (ROU). During the period of stem elongation, there are 12 samples of soft winter wheat susceptible to this disease in this stage of organogenesis. Arid conditions in 2012 and 2013 were more favorable for distribution of the wheat collection for disease tolerance at the heading stage, in which the susceptible and weakly susceptible samples under study accounted for approximately 14 %. The maximum damage by this pathogen occurs in milky-wax ripeness of wheat. Distribution by the level of tolerance significantly depends on the conditions of a particular year. Thus, in 2011 (excessively humid conditions), the percentage of susceptible samples of wheat to the pathogen was 57.5 %; in 2012 and 2013, a larger group of samples was noted as weakly susceptible. The significant influence of the amount of precipitation and the level of hydrothermal coefficient (HTC) on the number of susceptible wheat samples to powdery mildew during heading (r = 0,83 and r = 0,91, respectively) was established. The average level of correlation between the indicators of the number of highly susceptible wheat samples to this disease and the level of HTC (r = 0,33) was noted. The method of distant hybridization using foreign genes helps to obtain lines more resistant to specific pathogens of soft winter wheat. Conclusions. Distribution of winter wheat samples by the level of tolerance to powdery mildew depended significantly on the conditions of a particular year. The special collection of samples resistant to the most common diseases of soft winter wheat allows you to systematize the selection of parental lines on specific traits, which will create more resistant lines. Key words: soft winter wheat, tolerance, powdery mildew, stage of organogenesis, hydrothermal coefficient, distant hybridization method