To create an industrial hemp variety of the Central European ecological and geographical type with a high cannabigerol content and universal application. Methods. Breeding (self-pollination, creation of artificial populations, selection), field, biochemical (thin-layer and gas-liquid chromatography of cannabinoid compounds), instrumental and technological assessment of fibre quality, and statistical methods. Results. Variety ‘Vik 2020’ was obtained as a result of creation of artificial populations. The plants are characterized by higher content of cannabigerol (1.034 ± 0.0323%), and almost zero of other secondary metabolites, such as cannabidivarin, cannabidiol, cannabichromene and psychotropic tetrahydrocannabinol (0.003 ± 0.0011; 0.018 ± 0.0080; 0.012 ± 0.0027, and 0.005 ± 0.0012%, respectively). The t rait of cannabigerol content is quite stable within the population and is not correlated with the trait of tetrahydrocannabinol content (r = -0.23). TLC showed that cannabigerol accumulated mainly in the form of cannabigerolic acid and to a lesser extent as a neutral compound, which is consistent with the theory that this substance is a precursor for the synthesis of other cannabinoids. According to the results of the competitive variety test, when growing to obtain fibre and seeds, the variety features short height, specifically significantly lower total (206.4 cm) and technical stem length (135.6 cm) compared to the standard variety, significantly higher inflorescence length (70.8 cm), which determine the formation of the significant yield of biomass suitable for pharmaceutical use and high seed yield (0.98 t/ha). The yield of total fibre was the same as in the standard variety (29.0%), but its quality and technological value for primary processing were higher. The variety had a homogeneous sex structure, resistance to bioltic and abiotic environmental factors. Plants reached biological maturity in 116 days (BBCH 89). This cultivar is recommended for obtaining seeds, quality fiber and potentially cannabigerol (on condition of changes in legislation). Conclusions. The efficiency of using self-pollinating lines in breeding with their subsequent combining into a synthetic population and improving selection was proved by the case of a new variety of industrial hemp ‘Vik 2020’, characterized by an increased content of cannabigerol and the absence of psychotropic properties

To create an industrial hemp variety of the Central European ecological and geographical type with a high cannabigerol content and universal application. Methods. Breeding (self-pollination, creation of artificial populations, selection), field, biochemical (thin-layer and gas-liquid chromatography of cannabinoid compounds), instrumental and technological assessment of fibre quality, and statistical methods. Results. Variety ‘Vik 2020’ was obtained as a result of creation of artificial populations. The plants are characterized by higher content of cannabigerol (1.034 ± 0.0323%), and almost zero of other secondary metabolites, such as cannabidivarin, cannabidiol, cannabichromene and psychotropic tetrahydrocannabinol (0.003 ± 0.0011; 0.018 ± 0.0080; 0.012 ± 0.0027, and 0.005 ± 0.0012%, respectively). The t rait of cannabigerol content is quite stable within the population and is not correlated with the trait of tetrahydrocannabinol content (r = -0.23). TLC showed that cannabigerol accumulated mainly in the form of cannabigerolic acid and to a lesser extent as a neutral compound, which is consistent with the theory that this substance is a precursor for the synthesis of other cannabinoids. According to the results of the competitive variety test, when growing to obtain fibre and seeds, the variety features short height, specifically significantly lower total (206.4 cm) and technical stem length (135.6 cm) compared to the standard variety, significantly higher inflorescence length (70.8 cm), which determine the formation of the significant yield of biomass suitable for pharmaceutical use and high seed yield (0.98 t/ha). The yield of total fibre was the same as in the standard variety (29.0%), but its quality and technological value for primary processing were higher. The variety had a homogeneous sex structure, resistance to bioltic and abiotic environmental factors. Plants reached biological maturity in 116 days (BBCH 89). This cultivar is recommended for obtaining seeds, quality fiber and potentially cannabigerol (on condition of changes in legislation). Conclusions. The efficiency of using self-pollinating lines in breeding with their subsequent combining into a synthetic population and improving selection was proved by the case of a new variety of industrial hemp ‘Vik 2020’, characterized by an increased content of cannabigerol and the absence of psychotropic properties

To create an industrial hemp variety of the Central European ecological and geographical type with a high cannabigerol content and universal application.Methods. Breeding (self-pollination, creation of artificial populations, selection), field, biochemical (thin-layer and gas-liquid chromatography of cannabinoid compounds), instrumental and technological assessment of fibre quality, and statistical methods.Results. Variety ?Vik 2020? was obtained as a result of creation of artificial populations. The plants are characterized by higher content of cannabigerol (1.034 ? 0.0323%), and almost zero of other secondary metabolites, such as cannabidivarin, cannabidiol, cannabichromene and psychotropic tetrahydrocannabinol (0.003 ? 0.0011; 0.018 ? 0.0080; 0.012 ? 0.0027, and 0.005 ? 0.0012%, respectively). The t rait of cannabigerol content is quite stable within the population and is not correlated with the trait of tetrahydrocannabinol content (r = -0.23). TLC showed that cannabigerol accumulated mainly in the form of cannabigerolic acid and to a lesser extent as a neutral compound, which is consistent with the theory that this substance is a precursor for the synthesis of other cannabinoids. According to the results of the competitive variety test, when growing to obtain fibre and seeds, the variety features short height, specifically significantly lower total (206.4 cm) and technical stem length (135.6 cm) compared to the standard variety, significantly higher inflorescence length (70.8 cm), which determine the formation of the significant yield of biomass suitable for pharmaceutical use and high seed yield (0.98 t/ha). The yield of total fibre was the same as in the standard variety (29.0%), but its quality and technological value for primary processing were higher. The variety had a homogeneous sex structure, resistance to bioltic and abiotic environmental factors. Plants reached biological maturity in 116 days (BBCH 89). This cultivar is recommended for obtaining seeds, quality fiber and potentially cannabigerol (on condition of changes in legislation).Conclusions. The efficiency of using self-pollinating lines in breeding with their subsequent combining into a synthetic population and improving selection was proved by the case of a new variety of industrial hemp ?Vik 2020?, characterized by an increased content of cannabigerol and the absence of psychotropic properties | ???????? ???? ??????????? ???????? ????????????????????? ???????-????????????? ???? ??????????????? ??????? ?????????????? ???????????? ? ??????????? ??????? ????????????.??????. ?????????? (?????????????, ????????? ??????????? ?????????, ?????), ???????, ?????????? (??????????? ?? ??????????? ????????????? ????????????? ??????), ???????????????-???????????? ?????????? ?????? ???????, ???????????.??????????. ? ?????????? ??????????? ???????? ???????? ???? ?????2020?, ??????? ????? ???????????????? ?????????? ??????? ???????????? (1,034???0,0323%), ?? ??? ????? ??????????? ????????????, ? ????? ?????? ??????????? ????? ????????? ??????????? ? ??????????????, ???????????, ????????????? ? ????????????? ???????????????????? (0,003???0,0011; 0,018???0,0080; 0,012???0,0027 ? 0,005???0,0012% ??????????). ?????? ?????? ???????????? ? ?????? ?????????? ? ????? ????????? ? ?? ??????????????? ? ??????? ?????? ???????????????????? (r =?-0,23). ?????????? ???????????? ????????????? ????????, ?? ??????????? ????????????? ????????? ? ????? ??????????????? ??????? ? ?????? ????? ?? ?????????? ???????, ?? ?????? ???????????? ? ???????, ?????? ? ???? ?? ???????? ? ???????????? ??? ??????? ????? ????????????. ?? ???????????? ??????????? ????????????????? ? ???? ??????????? ??? ????????? ??????? ? ??????? ???? ??????? ??????????????, ? ???? ??????? ????? ????????? ?? ??????-?????????? ????????? ????????? (206,4???) ? ????????? ??????? ??????? (135,6 ??), ? ??????? ?????? ??????????? ??????? ???????? (70,8 ??), ??? ???????????? ?????????? ??????? ???????, ????????? ??? ???????????? ?? ????????????? ????, ?? ??????????? ??????? (0,98??/??). ????? ?????????? ??????? ????????, ?? ? ? ?????-?????????, 29,0%, ??? ???? ????????????????? ????? ?????? ? ????????????? ???????? ?? ?????????? ????????????. ???? ??? ????????? ??????? ?????????, ????????? ?? ???- ?? ?????????? ???????? ??????????. ???????????? ?????? ?? ??????????? ????????? (BBCH 89) ??116 ???. ?????????????? ??? ??????????? ? ????? ????????? ???????, ???????? ??????? ? ?????????? ? ???????????? (?? ????? ????? ?????????????).????????. ???????? ???????????? ????????? ?? ???????????? ??????? ????????????? ????? ?? ????????? ?? ??????????? ? ?????????? ????????? ? ?????????????? ??????? ?? ???????? ?????? ????? ??????????? ???????? ???? 2020?, ?? ???????????????? ?????????? ??????? ???????????? ? ??????????? ???????????? ????????????.

Purpose. Analysis of species and varietal diversity of the genus Salvia L. cultivated flora of the world, including Ukraine; prognostic assessment and determination of the directions of ornamental representatives of the genus introduction to the conditions of the Forest-steppe of Ukraine. Methods. Analysis and synthesis, comparison and generalization of information data, introduction forecast. Results. The modern assortment of the genus Salvia is presented in quantitative, taxonomic, arealogical and ecological-cenotic terms. Belonging of the species of the genus to 6 main centers of origin of cultivated plants was determined, and a significant diversity of life forms (nanophanerophytes, microphanerophytes, hamephites, hemicryptophytes, theophytes), naturally formed under the influence of factors determined by different geographical and ecological-phytocenotic conditions of plant growth was reflected. Species assortment of the genus Salvia from the collection fund of the M. M. Gryshko National Botanical Garden of the National Academy of Sciences of Ukraine was analyzed in comparison with the collections of other Ukrainian botanical gardens. The list of decorative species of the collection, found in the natural flora of Ukraine, was given. Three groups of species have been identified by origin, what determines the conditions for plant cultivation in the Forest-Steppe of Ukraine. In terms of taxonomic structure, introduced sage species belong to eight (according to Bentham, 1833) out of twelve sections, which represent biomorphological diversity and confirm the high introduction potential of these plants. The species and interspecific hybrids most fully used in breeding work and represented by a significant varietal diversity were distinguished, as well as the sage assortment of the collection of ornamental plants of the NBG was presented. Conclusions. It has been revealed that the species and varietal diversity of the genus Salvia of the world cultivated flora has a significant introduction potential for the Forest-Steppe zone of Ukraine. It was determined that the main base for the introduction of the ornamental species of the genus Salvia in Ukraine is the collection of the M. M. Gryshko National Botanical Garden of the National Academy of Sciences of Ukraine. The main directions of further introduction and breeding work with representatives of the genus Salvia in the Forest-Steppe conditions of Ukraine were highlighted.

There discussed directions of use for the valuable groats crop, namely Rice, growth rates of its production in Ukraine, options and necessity of creation new verities by breeders, that favors not just the improved nutrition of people, but improves their health, too. And also a full description is provided for new varieties of soybean listed in the Sate Register of Plant Varieties Suitable for Dissemination in Ukraine.

Purpose. Analysis of species and varietal diversity of the genus Salvia L. cultivated flora of the world, including Ukraine; prognostic assessment and determination of the directions of ornamental representatives of the genus introduction to the conditions of the Forest-steppe of Ukraine.Methods. Analysis and synthesis, comparison and generalization of information data, introduction forecast.Results. The modern assortment of the genus Salvia is presented in quantitative, taxonomic, arealogical and ecological-cenotic terms. Belonging of the species of the genus to 6 main centers of origin of cultivated plants was determined, and a significant diversity of life forms (nanophanerophytes, microphanerophytes, hamephites, hemicryptophytes, theophytes), naturally formed under the influence of factors determined by different geographical and ecological-phytocenotic conditions of plant growth was reflected. Species assortment of the genus Salvia from the collection fund of the M.?M.?Gryshko National Botanical Garden of the National Academy of Sciences of Ukraine was analyzed in comparison with the collections of other Ukrainian botanical gardens. The list of decorative species of the collection, found in the natural flora of Ukraine, was given. Three groups of species have been identified by origin, what determines the conditions for plant cultivation in the Forest-Steppe of Ukraine. In terms of taxonomic structure, introduced sage species belong to eight (according to Bentham, 1833) out of twelve sections, which represent biomorphological diversity and confirm the high introduction potential of these plants.? The species and interspecific hybrids most fully used in breeding work and represented by a significant varietal diversity were distinguished, as well as the sage assortment of the collection of ornamental plants of the NBG was presented.Conclusions. It has been revealed that the species and varietal diversity of the genus Salvia of the world cultivated flora has a significant introduction potential for the Forest-Steppe zone of Ukraine. It was determined that the main base for the introduction of the ornamental species of the genus Salvia in Ukraine is the collection of the M.?M.?Gryshko National Botanical Garden of the National Academy of Sciences of Ukraine. The main directions of further introduction and breeding work with representatives of the genus Salvia in the Forest-Steppe conditions of Ukraine were highlighted. | ????. ?????? ???????? ?? ????????? ???????????? ???? Salvia L. ????????????? ????? ?????, ??????? ? ???????; ???????????? ?????? ?? ?????????? ???????? ??????????? ???????????? ????????????? ???? ? ????? ????????? ???????.??????. ?????? ? ??????, ?????????? ?? ???????????? ????????????? ?????, ?????????????? ???????. ???????????????????????????????????. ???????????? ???????? ?????????? ???? Salvia ? ???????????, ??????????????, ????????????? ?? ???????-??????????? ??????????. ????????? ????????????? ????? ???? ?? ????? ???????? ??????? ?????????? ?????????? ??????, ? ????? ??????????? ?????? ????????? ???????? ???? (??????????????, ???????????????, ????????, ??????????????, ????????), ??? ??????????? ???????????? ??? ??????? ????????, ?? ??????????? ??????? ????????????? ?? ???????-??????????????? ??????? ????????? ??????. ?????????????? ??????? ?????????? ???? Salvia ???????????? ????? ????????????? ??????????? ???? ????? ?. ?. ?????? ??? ??????? (???) ????????? ? ?????????? ????? ?????????? ????? ???????. ???????? ??????? ???????????? ????? ????????, ?? ???????????? ? ????????? ????? ???????. ???????? ??? ????? ????? ?? ???????????, ??? ? ?????????? ????? ????????????? ?????? ? ????????? ???????. ?? ????????????? ?????????? ????????????? ???? ?????? ???????? ?? ?????? (?????? ? Bentham, 1833) ? ?????????? ??????, ??? ????????????? ??????????????? ???????????? ?? ????????????? ??????? ?????????????? ????????? ??? ??????. ???????? ???? ? ????????? ???????, ??? ???????? ??????? ? ??????????? ?????? ?? ?????????????? ??????? ???????? ??????????, ? ????? ???????????? ????????? ?????? ???????? ??????????-???????????? ?????? ???.????????. ???????????, ?? ?????? ?? ??????? ???????????? ???? Salvia ????????????? ????? ????? ??? ??????? ?????????????? ????????? ??? ???????????? ???? ???????. ?????????, ?? ???????? ????? ??? ??????????????? ???????? ???????????? ????? ???? Sal?via ? ??????? ? ???????? ????????????? ??????????? ????? ????? ?.??.??????? ??? ???????. ??????????? ??????? ??????? ???? ????????? ?????????????? ?? ????????????? ?????? ? ?????????????? ???? Salvia ? ?????? ????????? ???????.

Purpose. Analysis of the current state and experience on the loop-mediated amplification (LAMP) use to detect genetically modified plants. Methods. Literature search and analysis. Results. General information on the current state and use of the genetically modified plants is provided. Despite the wide distribution of genetically modified plants, the attitude towards them in society continues to remain somewhat wary. About 50 countries have introduced mandatory labeling of GM feed and products, provided that their content exceeds a certain threshold. In order to meet labeling requirements, effective and sensitive methods for detecting known genetic modifications in a variety of plant materials, food products and animal feed must be developed and standardized. The most common approaches to the detection of genetically modified organisms (GMOs) are the determination of specific proteins synthesized in transgenic plants and the detection of new introduced genes. Methods for the determination of GMOs based on the analysis of nucleic acids are more common, since such methods have greater sensitivity and specificity than the analysis of protein composition. Polymerase chain reaction (PCR) method is the main method of nucleic acid analysis, which is now wide used for the detection of GMOs. Loop-mediated amplification (LAMP), which can occur at a constant temperature and therefore does not require the use of expensive equipment may be an alternative to the PCR. Scientific articles about the use of the loop-mediated amplification (LAMP) for the detection of genetically modified plants were analyzed. Advantages and disadvantages of the polymerase chain reaction and loop-mediated amplification are compared. Conclusions. The main criteria for applying a method of GMO detection analysis are as follow: its sensitivity, time of reaction, availability and ease to use, cost of reagents and equipment, and the possibility for simultaneous detection of many samples.

Purpose. Analysis of the current state and experience on the loop-mediated amplification (LAMP) use to detect genetically modified plants.Methods. Literature search and analysis.Results. General information on the current state and use of the genetically modified plants is provided. Despite the wide distribution of genetically modified plants, the attitude towards them in society continues to remain somewhat wary. About 50 countries have introduced mandatory labeling of GM feed and products, provided that their content exceeds a certain threshold. In order to meet labeling requirements, effective and sensitive methods for detecting known genetic modifications in a variety of plant materials, food products and animal feed must be developed and standardized. The most common approaches to the detection of genetically modified organisms (GMOs) are the determination of specific proteins synthesized in transgenic plants and the detection of new introduced genes. Methods for the determination of GMOs based on the analysis of nucleic acids are more common, since such methods have greater sensitivity and specificity than the analysis of protein composition. Polymerase chain reaction (PCR) method is the main method of nucleic acid analysis, which is now wide used for the detection of GMOs. Loop-mediated amplification (LAMP), which can occur at a constant temperature and therefore does not require the use of expensive equipment may be an alternative to the PCR. Scientific articles about the use of the loop-mediated amplification (LAMP) for the detection of genetically modified plants were analyzed. Advantages and disadvantages of the polymerase chain reaction and loop-mediated amplification are compared.Conclusions. The main criteria for applying a method of GMO detection analysis are as follow: its sensitivity, time of reaction, availability and ease to use, cost of reagents and equipment, and the possibility for simultaneous detection of many samples. | Мета. Проаналізувати світовий досвід застосування реакції ампліфікації, що опосередкована через петлю (LAMP), для детектування генетично модифікованих рослин.Результати. Наведено загальну інформацію щодо сучасного стан і поширення генетично модифікованих рослин. Попри значне поширення генетично модифікованих рослин, ставлення до них у суспільстві й досі залишається дещо настороженим. Приблизно 50 країн запровадили обов’язкове маркування ГМ кормів та продуктів за умови, що їхній уміст перевищує певне порогове значення. Для того, щоб виконати вимоги до маркування, потрібно розробити та стандартизувати ефективні й чутливі методи визначення відомих генетичних модифікацій у різноманітній рослинній сировині, харчовій продукції та кормах для тварин. Найпоширенішими підходами до детектування генетично модифікованих організмів (ГМО) є визначення специфічних білків, що синтезуються у трансгенних рослинах, та детектування нових привнесених генів. Методи визначення ГМО, засновані на аналізі нуклеїнових кислот, є поширенішими, оскільки мають більшу чутливість та специфічність порівняно з аналізом білкового складу. Основним методом аналізу нуклеїнових кислот, що зараз використовується для детектування ГМО, є метод полімеразної ланцюгової реакції (ПЛР). Альтернативою методу ПЛР убачається реакція ампліфікації, що опосередкована через петлю (LAMP), яка може відбуватися за постійної температури й тому не потребує використання коштовного обладнання. Проаналізовано наукові публікації, що стосуються використання реакції LAMP для детектування генетично модифікованих рослин. Описано переваги та недоліки методів полімеразної ланцюгової реакції та ампліфікації, що опосередкована через петлю.Висновки. Основним критерієм для застосування того чи іншого методу аналізу ГМО є, насамперед, його чутливість, тривалість реакції, доступність та простота виконання, вартість реагентів і обладнання, а також можливість здійс­нювати одночасне детектування якомога більшої кількості зразків.

Abstract A Special-purpose Committee on Fungal Names with the Same Epithet was established at the XIX International Botanical Congress (IBC) in Shenzhen, China in 2017, with a mandate to report to the 12th International Mycological Congress (IMC) with recommendations on a preferred course of action with respect to names of pleomorphic fungi sharing the same epithet under the International Code of Nomenclature for algae, fungi, and plants. This report provides a synthesis of the deliberations from the Special-purpose Committee. We discuss the arguments for and against the proposed solution to the problems that have arisen regarding the nomenclature of fungi described in multiple morphs using the same epithet. We also propose a gentler method of addressing the problem using existing procedures.

Purpose. Development of scientific and applied foundations for the introduction, selection and use of plants of the species of the genus Physalis L. to ensure food security in Ukraine. Methods. Subject of study – plants of the genus Physalis. The study was conducted in 2014–2018. on the introduction plots of the department of cultural flora of the M. M. Hryshko National Botanical Garden, NAS of Ukraine (NBG). The work used general scientific and special methods: field, introduction, biological and morphological; laboratory (chemical, biochemical), statistical (methods of analysis of variance and statistical estimation of average data using Microsoft Excel (2010). Results. The features of ontomorphogenesis were established, the biological and morphological parameters of plants of the species of the genus Physalis L. were investigated under conditions of introduction in the Right-Bank Forest-Steppe Ukraine. It was found that the content of dry matter in plant fruits varied from 10 to 18.34%, sugars – from 39.34 to 67.97%, tannins – 1.57 to 3.35% and carotene – from 0.200 to 0.583%, ascorbic acid – from 123.91 to 284.95 mg/100 g, depending on the species, varietal and shape characteristics. Conclusions. It was found that the introduced plant species of the genus Physalis in conditions of culture have four age periods and 10 developmental states: seeds (se), sprouts (p), juvenile (j), immature (im), virginal (v), generative (g), subsenilny (ss) and senile (se). Ph. ixocarpa ‘Likhtaryk’ of the NBG selection was distinguished among the studied introduced species in terms of biological and morphological parameters and biochemical composition. The obtained data can be used for further research and determining the prospects for the introduction of these introduced species into a wide culture

Purpose. Development of scientific and applied foundations for the introduction, selection and use of plants of the species of the genus Physalis L. to ensure food security in Ukraine. Methods. Subject of study – plants of the genus Physalis. The study was conducted in 2014–2018. on the introduction plots of the department of cultural flora of the M. M. Hryshko National Botanical Garden, NAS of Ukraine (NBG). The work used general scientific and special methods: field, introduction, biological and morphological; laboratory (chemical, biochemical), statistical (methods of analysis of variance and statistical estimation of average data using Microsoft Excel (2010). Results. The features of ontomorphogenesis were established, the biological and morphological parameters of plants of the species of the genus Physalis L. were investigated under conditions of introduction in the Right-Bank Forest-Steppe Ukraine. It was found that the content of dry matter in plant fruits varied from 10 to 18.34%, sugars – from 39.34 to 67.97%, tannins – 1.57 to 3.35% and carotene – from 0.200 to 0.583%, ascorbic acid – from 123.91 to 284.95 mg/100 g, depending on the species, varietal and shape characteristics. Conclusions. It was found that the introduced plant species of the genus Physalis in conditions of culture have four age periods and 10 developmental states: seeds (se), sprouts (p), juvenile (j), immature (im), virginal (v), generative (g), subsenilny (ss) and senile (se). Ph. ixocarpa ‘Likhtaryk’ of the NBG selection was distinguished among the studied introduced species in terms of biological and morphological parameters and biochemical composition. The obtained data can be used for further research and determining the prospects for the introduction of these introduced species into a wide culture

Purpose. To establish the optimal seeding time and depth of ‘Dniprovskyi 39’ and ‘Vinets’ sorghum varieties, to prove their effect on the crop photosynthetic capacity in the Right-Bank Forest-Steppe of Ukraine. Methods. Field, laboratory, comparative, analytical, generalizing, mathematical and statistical. Results. It was proved that the best results of crop photosynthetic capacity of sorghum were obtained by sowing in the first decade of May (the second sowing period) at a seeding depth of 4–6 cm. Accordingly, the leaf surface area in these variants reached its maximum during the “panicle-blooming” period and equated 36.13–38.81 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 34.23–36.91 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the third decade of April (the first sowing period) at the seedining depth values described above the leaf surface area of the varieties was slightly smaller and amounted to 29.56–31.20 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 27.76–29.40 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the second decade of May (the third sowing period), the leaf surface area was 30.68–32.92 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 29.08–31.32 thousand m2/ha for the ‘Vinets’ variety. The highest photosynthetic potential was obtained for sorghum plants in the second sowing period at the seeding depth of 4–6 cm and was 1.27 and 1.34 million m2/ha for the ‘Dniprovskyi 39’ variety and 1.16 and 1.22 million m2/ha for the variety ‘Vinets’. In the first sowing period, this indicator was slightly lower and amounted to 1.18 and 1.23 million m2/ha for the ‘Dniprovskyi 39’ variety and 0.98 and 1.02 million m2/ha for the ‘Vinets’ variety respectively. In the third sowing period, it was the smallest one and equated 1.09 and 1.13 million m2/ha for the ‘Dniprovskyi 39’ variety, and 0.88 and 0.93 million m2/ha for the ‘Vinets’ variety at the optimal seeding depth. The photosynthetic potential was lower at the seeding depth of 2 and 8 cm, which is explained by the different soil and climatic parameters during a certain period of sorghum plant vegetation. The highest value of the photosynthetic capacity net indicator was obtained by sowing seeds at the optimal time and the optimal seeding depth and it equated 3.84–4.02 g/m2 per day for the ‘Dniprovskyi 39’ variety and 3.79 – 3.98 g/m2 per day for the ‘Vinets’ variety. Conclusions. It has been established that the sorghum plants had better vegetation and formed photosynthetic capacity by sowing seeds in the first decade of May at the planting depth of 4–6 cm, which we recommend for growing this crop in the Right-Bank Forest-Steppe of Ukraine.

Цель. Установить оптимальные сроки сева и глубину заделки семян сорго зернового сортов ‘Дніпровський 39’ и ‘Вінець’, обосновать их влияние на фотосинтетическую продуктивность посевов в условиях Правобережной Лесостепи Украины.Методы. Полевой, лабораторный, сравнительный, аналитический, обобщающий, математически-статистический.Результаты. Наилучшие результаты фотосинтетической продуктивности посевов сорго зернового получены во время сева в I декаде мая (второй срок) на глубине заделки семян 4–6 см. Соответственно, площадь листовой поверхности в этих вариантах в период «выбрасывания метелки–цветения» достигала максимума и составляла 36,13–38,81 тыс. м2/га у сорта ‘Дніпровський 39’ и 34,23 – 36,91 тыс. м2/га у сорта ‘Вінець’. При севе семян в III декаде апреля (первый срок) при вышеуказанных значениях глубины заделки площадь листовой поверхнос­ти у сортов была несколько меньше и составляла 29,56–31,20 тыс. м2/га у сорта ‘Дніпровський 39’ и 27,76–29,40 тыс. м2/га у сорта ‘Вінець’. При севе семян во II декаде мая (третий срок) площадь листовой поверхности составляла 30,68–32,92 тыс. м2/га у сорта ‘Дніпровський 39’ и 29,08–31,32 тыс. м2/га у сорта ‘Вінець’. Фотосинтетический потенциал был самым высоким в растениях сорго зернового во втором сроке сева семян на глубине заделки 4–6 см и составлял 1,27 и 1,34 млн м2/га у сорта ‘Дніпровський 39’ и 1,16 и 1,22 млн м2/га у сорта ‘Вінець’. В первом сроке сева этот показатель был несколько ниже и составлял 1,18 и 1,23 млн м2/га у сорта ‘Дніпровський 39’ и 0,98 и 1,02 млн м2/га у сорта ‘Вінець’, соответственно. В третьем сроке сева он был самым низким, у сорта ‘Дніпровський 39’ этот показатель составлял 1,09 и 1,13 млн м2/га, у сорта ‘Вінець’ – 0,88 и 0,93 млн м2/га при оптимальных значениях глубины заделки семян. На глубине заделки семян 2 и 8 см фотосинтетический потенциал был ниже, что объясняют различными почвенно-климатическими условиями в определенный период развития растений сорго. Наивысшее значение показателя чистой продуктивности фотосинтеза было получено при севе семян в оптимальные сроки и оптимальной глубине заделки семян и составляло 3,84–4,02 г/м2 в сутки у сорта ‘Дніпровський 39’ и 3,79–3,98 г/м2 в сутки у сорта ‘Вінець’, соответственно.Выводы. Лучше развивались и формировали фотосинтетическую продуктивность растения сорго зернового при севе семян в первой декаде мая на глубине заделки 4–6 см, которые и рекомендованы для выращивания данной культуры в Правобережной Лесостепи Украины. | Purpose. To establish the optimal seeding time and depth of ‘Dniprovskyi 39’ and ‘Vinets’ sorghum varieties, to prove their effect on the crop photosynthetic capacity in the Right-Bank Forest-Steppe of Ukraine. Methods. Field, laboratory, comparative, analytical, generalizing, mathematical and statistical. Results. It was proved that the best results of crop photosynthetic capacity of sorghum were obtained by sowing in the first decade of May (the second sowing period) at a seeding depth of 4–6 cm. Accordingly, the leaf surface area in these variants reached its maximum during the “panicle-blooming” period and equated 36.13–38.81 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 34.23–36.91 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the third decade of April (the first sowing period) at the seedining depth values described above the leaf surface area of the varieties was slightly smaller and amounted to 29.56–31.20 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 27.76–29.40 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the second decade of May (the third sowing period), the leaf surface area was 30.68–32.92 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 29.08–31.32 thousand m2/ha for the ‘Vinets’ variety. The highest photosynthetic potential was obtained for sorghum plants in the second sowing period at the seeding depth of 4–6 cm and was 1.27 and 1.34 million m2/ha for the ‘Dniprovskyi 39’ variety and 1.16 and 1.22 million m2/ha for the variety ‘Vinets’. In the first sowing period, this indicator was slightly lower and amounted to 1.18 and 1.23 million m2/ha for the ‘Dniprovskyi 39’ variety and 0.98 and 1.02 million m2/ha for the ‘Vinets’ variety respectively. In the third sowing period, it was the smallest one and equated 1.09 and 1.13 million m2/ha for the ‘Dniprovskyi 39’ variety, and 0.88 and 0.93 million m2/ha for the ‘Vinets’ variety at the optimal seeding depth. The photosynthetic potential was lower at the seeding depth of 2 and 8 cm, which is explained by the different soil and climatic parameters during a certain period of sorghum plant vegetation. The highest value of the photosynthetic capacity net indicator was obtained by sowing seeds at the optimal time and the optimal seeding depth and it equated 3.84–4.02 g/m2 per day for the ‘Dniprovskyi 39’ variety and 3.79 – 3.98 g/m2 per day for the ‘Vinets’ variety.Conclusions. It has been established that the sorghum plants had better vegetation and formed photosynthetic capacity by sowing seeds in the first decade of May at the planting depth of 4–6 cm, which we recommend for growing this crop in the Right-Bank Forest-Steppe of Ukraine. | Мета. Встановити оптимальні строки сівби та глибину загортання насіння сорго зернового сортів ‘Дніпровський 39’ та ‘Вінець’, обґрунтувати їхній вплив на фотосинтетичну продуктивність посівів в умовах Правобережного Лісостепу України. Методи. Польовий, лабораторний, порівняльний, аналітичний, узагальнюючий, математично-статистичний. Результати. Найкращі результати фотосинтетичної продуктивності посівів сорго зернового отримано за сівби у  І декаді травня (другий строк) на глибину загортання насіння 4–6 см. Відповідно, площа листкової поверхні за цих факторів у період «викидання волоті – цвітіння» сягала максимуму і дорівнювала 36,13–38,81 тис. м2/га у сорту ‘Дніпровський 39’ та 34,23–36,91 тис. м2/га у сорту ‘Вінець’. За сівби насіння у ІІІ декаді квітня (перший строк) за таких самих значень глибини загортання площа листкової поверхні у сортів була дещо меншою і становила 29,56–31,20 тис. м2/га у сорту ‘Дніпровський 39’ та 27,76–29,40 тис. м2/га у сорту ‘Вінець’. За сівби насіння у ІІ декаді травня (третій строк) площа листкової поверхні дорівнювала 30,68–32,92 тис. м2/га у сорту ‘Дніпровський 39’ та 29,08–31,32 тис. м2/га у сорту ‘Вінець’. Фотосинтетичний потенціал був найвищим у рослин сорго зернового за ІІ строку сівби насіння та глибини загортання 4–6 см й дорівнював 1,27 та 1,34 млн м2/га у сорту ‘Дніпровський 39’ і 1,16 та 1,22 млн м2/га у сорту ‘Вінець’. За І строку сівби цей показник був дещо меншим і відповідно становив 1,18 та 1,23 млн м2/га у сорту ‘Дніпровський 39’ й 0,98 і 1,02 млн м2/га у сорту ‘Вінець’. За ІІІ строку сівби він був найменшим та у сорту ‘Дніпровський 39’ дорівнював 1,09 і 1,13 млн м2/га, у сорту ‘Вінець’ 0,88 і 0,93 млн м2/га за оптимальних значень глибини загортання насіння. За глибини загортання насіння 2 та 8 см фотосинтетичний потенціал був нижчим, що пояснюють різними ґрунтово-кліматичними умовами у певний період розвитку рослин сорго. Найбільше значення показника чистої продуктивності фотосинтезу було отримано за сівби насіння в оптимальні строки та за оптимальної глибини загортання насіння і становило у сорту ‘Дніпровський 39’, відповідно, 3,84–4,02 г/м2 за добу, у сорту ‘Вінець’ 3,79–3,98 г/м2 за добу.Висновки. Найкраще розвивались та формували фотосинтетичну продуктивність рослини сорго зернового за сівби насіння у першій декаді травня на глибину загортання 4–6 см, які й рекомендовано для вирощування даної культури в Правобережному Лісостепу України.

Purpose. To establish the optimal seeding time and depth of ‘Dniprovskyi 39’ and ‘Vinets’ sorghum varieties, to prove their effect on the crop photosynthetic capacity in the Right-Bank Forest-Steppe of Ukraine. Methods. Field, laboratory, comparative, analytical, generalizing, mathematical and statistical. Results. It was proved that the best results of crop photosynthetic capacity of sorghum were obtained by sowing in the first decade of May (the second sowing period) at a seeding depth of 4–6 cm. Accordingly, the leaf surface area in these variants reached its maximum during the “panicle-blooming” period and equated 36.13–38.81 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 34.23–36.91 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the third decade of April (the first sowing period) at the seedining depth values described above the leaf surface area of the varieties was slightly smaller and amounted to 29.56–31.20 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 27.76–29.40 thousand m2/ha for the ‘Vinets’ variety. By sowing seeds in the second decade of May (the third sowing period), the leaf surface area was 30.68–32.92 thousand m2/ha for the ‘Dniprovskyi 39’ variety and 29.08–31.32 thousand m2/ha for the ‘Vinets’ variety. The highest photosynthetic potential was obtained for sorghum plants in the second sowing period at the seeding depth of 4–6 cm and was 1.27 and 1.34 million m2/ha for the ‘Dniprovskyi 39’ variety and 1.16 and 1.22 million m2/ha for the variety ‘Vinets’. In the first sowing period, this indicator was slightly lower and amounted to 1.18 and 1.23 million m2/ha for the ‘Dniprovskyi 39’ variety and 0.98 and 1.02 million m2/ha for the ‘Vinets’ variety respectively. In the third sowing period, it was the smallest one and equated 1.09 and 1.13 million m2/ha for the ‘Dniprovskyi 39’ variety, and 0.88 and 0.93 million m2/ha for the ‘Vinets’ variety at the optimal seeding depth. The photosynthetic potential was lower at the seeding depth of 2 and 8 cm, which is explained by the different soil and climatic parameters during a certain period of sorghum plant vegetation. The highest value of the photosynthetic capacity net indicator was obtained by sowing seeds at the optimal time and the optimal seeding depth and it equated 3.84–4.02 g/m2 per day for the ‘Dniprovskyi 39’ variety and 3.79 – 3.98 g/m2 per day for the ‘Vinets’ variety. Conclusions. It has been established that the sorghum plants had better vegetation and formed photosynthetic capacity by sowing seeds in the first decade of May at the planting depth of 4–6 cm, which we recommend for growing this crop in the Right-Bank Forest-Steppe of Ukraine.

Purpose. To determine the level of productivity of sunflower hybrids, their stability and plasticity for cultivation in the Left Bank Forest-Steppe of Ukraine. Methods. The field experiment was performed in the conditions of the Left-Bank Forest-Steppe of Ukraine in 2016–2018. The peculiarities of plant growth and development, formation of yield of hybrids ‘Ukrainskyi F1’ (k), ‘P64LL125’, ‘P63LE10’, ‘P64F50’, ‘P64F66’, ‘P63LL06’, ‘NK Konti’ (k), ‘NK Brio’, ‘P64LE99’, ‘Laskala’, ‘Kupava’. Yield plasticity was calculated and analyzed by the Ebergard – Russell method. Results. Over the years of research, the average yield of sunflower hybrids in the Left-Bank Forest-Steppe of Ukraine varied from 2.71 to 4.04 t/ha. The lowest yield was shown by the ‘Ukrainskyi F1’ hybrid – 2.42–3.05 t/ha, the highest ‘Laskala’ – 3.79–4.26 t/ha. It was determined that in the conditions of the Left-Bank Forest-Steppe, there is no absolute predominance of medium-ripe hybrids in terms of yield. Conclusions. According to the results of the analysis of yield plasticity of sunflower hybrids, it was determined that the group of samples with high yield plasticity includes ‘Ukrainskyi F1’, ‘P64F50’, ‘P64F66’, ‘NK Konti’, ‘NK Brio’, ‘P64LE99’, ‘Lascala’ and ‘Kupava’. They respond to the improvement of the level of agricultural technology and provide the maximum yield only under the conditions of optimal factors. Hybrids ‘P64LL125’, ‘P63LE10’ and ‘P63LL06’ are more stable in response to changes in growing conditions without reductions in yield. As for the shares of the influence of the studied factors, the yield of the hybrid ‘Ukrainskyi F1’ was most influenced by the conditions of the year, ‘NK Brio’ – the sowing rate. For the ‘NK Ferti’ hybrid, the conditions of the year and the sowing rate are equally important.

Purpose. To determine the level of productivity of sunflower hybrids, their stability and plasticity for cultivation in the Left Bank Forest-Steppe of Ukraine. Methods. The field experiment was performed in the conditions of the Left-Bank Forest-Steppe of Ukraine in 2016–2018. The peculiarities of plant growth and development, formation of yield of hybrids ‘Ukrainskyi F1’ (k), ‘P64LL125’, ‘P63LE10’, ‘P64F50’, ‘P64F66’, ‘P63LL06’, ‘NK Konti’ (k), ‘NK Brio’, ‘P64LE99’, ‘Laskala’, ‘Kupava’. Yield plasticity was calculated and analyzed by the Ebergard – Russell method. Results. Over the years of research, the average yield of sunflower hybrids in the Left-Bank Forest-Steppe of Ukraine varied from 2.71 to 4.04 t/ha. The lowest yield was shown by the ‘Ukrainskyi F1’ hybrid – 2.42–3.05 t/ha, the highest ‘Laskala’ – 3.79–4.26 t/ha. It was determined that in the conditions of the Left-Bank Forest-Steppe, there is no absolute predominance of medium-ripe hybrids in terms of yield. Conclusions. According to the results of the analysis of yield plasticity of sunflower hybrids, it was determined that the group of samples with high yield plasticity includes ‘Ukrainskyi F1’, ‘P64F50’, ‘P64F66’, ‘NK Konti’, ‘NK Brio’, ‘P64LE99’, ‘Lascala’ and ‘Kupava’. They respond to the improvement of the level of agricultural technology and provide the maximum yield only under the conditions of optimal factors. Hybrids ‘P64LL125’, ‘P63LE10’ and ‘P63LL06’ are more stable in response to changes in growing conditions without reductions in yield. As for the shares of the influence of the studied factors, the yield of the hybrid ‘Ukrainskyi F1’ was most influenced by the conditions of the year, ‘NK Brio’ – the sowing rate. For the ‘NK Ferti’ hybrid, the conditions of the year and the sowing rate are equally important.

Pourpose. Establish compliance of heat and moisture resources to biological requirements of sunflower hybrids (Helianthus annuus), reveal criteria for assessing weather conditions in the northern regions of Ukraine; establish links between temperature, precipitation and yield. Methods. Field and mathematical methods were used. Field multifactorial experiment was conducted during 2016–2018 in the Left Bank of Ukraine, on the border of two soil and climatic zones of Ukraine - Forest-Steppe and Polissya. Peculiarities of plant growth and development, formation of "hybrids" yield (factor A) were studied: 'Ukrainskyi F1', 'P63LL06', 'NK Brio', 'NK Ferti' depending on "plant density" (factor B): 50, 55 , 60, 65 thousand pieces/hectare. We calculated and analyzed the sums of active, effective temperatures for two biological minima - 5 and 10 ° C; the sum of thermal units according to the method of Brown and Bootsma, 1993; coefficients of materiality of elements deviations of the agrometeorological mode of the current year from long-term averages; plasticity and yield stability according to the method of Eberthart S.A., Russel W.Q. (1966). Results. To pass the full cycle of sunflower plants development, the sum of active temperatures (t = 10 °C) for hybrid 'Ukrainskyi F1' – 2354.6; P63LL06 – 2306.4; 'NK Brio' – 2401.3; 'NK Ferti' – 2379.7; and the sum of effective temperatures for 'Ukrainskyi F1'- 1081.5; 'P63LL06' – 1056.9; 'NK Brio' – 1104.9; 'NK Ferti' – 1109.1 is required. The sum of temperatures, both at a biological minimum temperature 10 °C and 5 °C, meet biological needs of sunflower plants and is not a limiting factor for this crop growing. The sum of thermal units for the period April–October is 3780 on average for three years. During the period of active sunflower vegetation (April–August) the sum of thermal units is 2868–3258, significantly exceeding the sum of active and effective temperatures at biologically active temperatures 5 °С and 10 °С. The most determined limits of changes in active, effective temperatures and thermal units were observed in May – September. Conclusions. Plasticity and stability of sunflower yield more depending on hybrid and plants density than on conditions of the year. Yield stability coefficient for hybrid 'Ukrainskyi F1' was 1.68 - 2.30; 'P63LL06'- 2.51 - 3.14; 'NK Brio'- 3.15 - 4.63; 'NK Ferti' - 2.70 - 3.75 for yields, respectively: 2.16 - 3.11; 2.58 - 3.52; 3.20 - 4.12; 2.70 - 3.79 t/ha.

Pourpose. Establish compliance of heat and moisture resources to biological requirements of sunflower hybrids (Helianthus annuus), reveal criteria for assessing weather conditions in the northern regions of Ukraine; establish links between temperature, precipitation and yield.Methods. Field and mathematical methods were used. Field multifactorial experiment was conducted during 2016–2018 in the Left Bank of Ukraine, on the border of two soil and climatic zones of Ukraine - Forest-Steppe and Polissya. Peculiarities of plant growth and development, formation of "hybrids" yield (factor A) were studied: 'Ukrainskyi F1', 'P63LL06', 'NK Brio', 'NK Ferti' depending on "plant density" (factor B): 50, 55 , 60, 65 thousand pieces/hectare. We calculated and analyzed the sums of active, effective temperatures for two biological minima - 5 and 10 ° C; the sum of thermal units according to the method of Brown and Bootsma, 1993; coefficients of materiality of elements deviations of the agrometeorological mode of the current year from long-term averages; plasticity and yield stability according to the method of Eberthart S.A., Russel W.Q. (1966).Results. To pass the full cycle of sunflower plants development, the sum of active temperatures (t = 10 °C) for hybrid 'Ukrainskyi F1' – 2354.6; P63LL06 – 2306.4; 'NK Brio' – 2401.3; 'NK Ferti' – 2379.7; and the sum of effective temperatures for 'Ukrainskyi F1'- 1081.5; 'P63LL06' – 1056.9; 'NK Brio' – 1104.9; 'NK Ferti' – 1109.1 is required. The sum of temperatures, both at a biological minimum temperature 10 °C and 5 °C, meet biological needs of sunflower plants and is not a limiting factor for this crop growing. The sum of thermal units for the period April–October is 3780 on average for three years. During the period of active sunflower vegetation (April–August) the sum of thermal units is 2868–3258, significantly exceeding the sum of active and effective temperatures at biologically active temperatures 5 °С and 10 °С. The most determined limits of changes in active, effective temperatures and thermal units were observed in May – September.Conclusions. Plasticity and stability of sunflower yield more depending on hybrid and plants density than on conditions of the year. Yield stability coefficient for hybrid 'Ukrainskyi F1' was 1.68 - 2.30; 'P63LL06'- 2.51 - 3.14; 'NK Brio'- 3.15 - 4.63; 'NK Ferti' - 2.70 - 3.75 for yields, respectively: 2.16 - 3.11; 2.58 - 3.52; 3.20 - 4.12; 2.70 - 3.79 t/ha. | Мета. Встановити відповідність ресурсів тепла та вологи біологічним вимогам гібридів соняшнику (Helianthus annuus L.); встановити критеріальні показники оцінювання погодних умов в північних регіонах України; встановити зв’язки між температурним режимом, сумою опадів та врожайністю.Методи. Використовували польовий та математичний методи. Польовий багатофакторний дослід проводили в 2016–2018 роках в Лівобережному Лісостепу України на межі двох ґрунтово-кліматичних зон – Лісостепу і Полісся. Досліджували особливості росту та розвитку рослин, формування врожайності «гібридів» (фактор А) ‘Український F1’, ‘Р63LL06’, ‘НК Бріо’, ‘НК Ферті’ залежно від «густоти рослин» (фактор В): 50, 55, 60, 65 тис. шт./га. Розраховували й аналізували суми активних та ефективних температур за двома біологічними мінімумами – 5 і 10 °С; суми теплових одиниць за методикою Brown and Bootsma (1993); коефіцієнти суттєвості відхилень елементів погоди поточного року від середніх багаторічних; пластичність і стабільність урожайності за методикою Eberthart S. A., Russel W. Q. (1966).Результати. Для проходження повного циклу розвитку рослин соняшнику необхідна сума активних температур (tб.м. = 10 °C) для гібрида ‘Український F1’ – 2354,6; ‘Р63LL06’ – 2306,4; ‘НК Бріо’ – 2401,3; ‘НК Ферті’ – 2379,7; сума ефективних температур: ‘Український F1’ – 1081,5; ‘Р63LL06’ – 1056,9; ‘НК Бріо’ – 1104,9; ‘НК Ферті’ – 1109,1. Суми температур як за температурою біологічного мінімуму 10 °C, так і 5 °C, відповідають біологічним потребам рослин соняшнику і не є обмежувальним чинником для вирощування. Сума теплових одиниць за період квітень–жовтень складала в середньому за три роки 3780. За період активної вегетації соняшнику (квітень–серпень) сума теплових одиниць складала 2868–3258, суттєво перевищуючи суму активних та ефективних температур за біологічно активних температур 5 °С і 10 °С. Найбільш детерміновані межі змін активних, ефективних температур і теплових одиниць спостерігали в період травень–вересень.Висновки. Пластичність і стабільність урожайності соняшнику більше змінюються залежно від гібрида і густоти рослин, ніж від умов року. Коефіцієнт стабільності врожайності для гібрида ‘Український F1’ склав 1,68–2,30; ‘Р63LL06’ – 2,51–3,14; ‘НК Бріо’ – 3,15–4,63; ‘НК Ферті’ – 2,70–3,75 за урожайності 2,16–3,11; 2,58–3,52; 3,20–4,12; 2,70–3,79 т/га, відповідно. | Цель. Установить соответствие ресурсов тепла и влаги биологическим потребностям гибридов подсолнечника (Helianthus annuus L.); установить критериальные показатели оценивания погодных условий в северных регионах Украины; установить связь между температурным режимом, осадками и урожайностью.Методы. Использовали полевой и математический методы. Полевой многофакторный опыт проводили в 2016–2018 годах в Левобережной Лесостепи Украины. Исследовали особенности роста и развития растений, формирования урожайности «гибридов» (фактор А): ‘Украинский F1’, ‘Р63LL06’, ‘НК Брио’, ‘НК Ферти’ в зависимости от «густоты стояния растений» (фактор В): 50, 55, 60, 65 тыс. штук/га. Рассчитывали и анализировали суммы активных, эффективных температур по  двум биологическим минимумам – 5 и 10 °С; суммы тепловых единиц по методике Brown and Bootsma (1993); коэффициенты существенности отклонений погодных условий от средних многолетних данных; пластичность и стабильность урожайности по методике Eberthart S. A., Russel W. Q. (1966).Результаты. Для прохождения полного цикла развития растений подсолнечника, необходима сумма активных температур (tб.м. = 10 °C) для гибрида ‘Украинский F1’ – 2355; ‘Р63LL06’ – 2306; ‘НК Брио’ – 2401; ‘НК Ферти’ – 2380; сумма эффективных температур: ‘Украинский F1’ – 1082; ‘Р63LL06’ – 1057; ‘НК Брио’ – 1104,9; ‘НК Ферти’ – 1109. Суммы температур как при биологическом минимуме 10 °C, так и 5 °C, соответствуют биологическим требованиям растений подсолнечника и не являются лимитирующим фактором для выращивания. Сумма тепловых единиц за период апрель–октябрь составляла в среднем за три года – 3780. В период активной вегетации подсолнечника (апрель–август) сумма тепловых единиц составляла 2868–3258 и существенно превышала сумму активных и эффективных температур при биологически активных температурах 5 °С и 10 °С. Наиболее детерминированные границы изменений активных, эффективных температур и тепловых единиц наблюдали в мае–сентябре.Выводы. Пластичность и стабильность урожайности подсолнечника больше изменяются в зависимости от гибрида и густоты стояния растений, чем от погодных условий года. Коэффициент стабильности урожайности для гибрида ‘Украинский F1’ составил 1,68–2,30; ‘Р63LL06’ – 2,51–3,14; ‘НК Брио’ – 3,15–4,63; ‘НК Ферти’ – 2,70–3,75 при урожайности 2,16–3,11; 2,58–3,52; 3,20–4,12; 2,70–3,79 т/га соответственно.

Pourpose. Establish compliance of heat and moisture resources to biological requirements of sunflower hybrids (Helianthus annuus), reveal criteria for assessing weather conditions in the northern regions of Ukraine; establish links between temperature, precipitation and yield. Methods. Field and mathematical methods were used. Field multifactorial experiment was conducted during 2016–2018 in the Left Bank of Ukraine, on the border of two soil and climatic zones of Ukraine - Forest-Steppe and Polissya. Peculiarities of plant growth and development, formation of "hybrids" yield (factor A) were studied: 'Ukrainskyi F1', 'P63LL06', 'NK Brio', 'NK Ferti' depending on "plant density" (factor B): 50, 55 , 60, 65 thousand pieces/hectare. We calculated and analyzed the sums of active, effective temperatures for two biological minima - 5 and 10 ° C; the sum of thermal units according to the method of Brown and Bootsma, 1993; coefficients of materiality of elements deviations of the agrometeorological mode of the current year from long-term averages; plasticity and yield stability according to the method of Eberthart S.A., Russel W.Q. (1966). Results. To pass the full cycle of sunflower plants development, the sum of active temperatures (t = 10 °C) for hybrid 'Ukrainskyi F1' – 2354.6; P63LL06 – 2306.4; 'NK Brio' – 2401.3; 'NK Ferti' – 2379.7; and the sum of effective temperatures for 'Ukrainskyi F1'- 1081.5; 'P63LL06' – 1056.9; 'NK Brio' – 1104.9; 'NK Ferti' – 1109.1 is required. The sum of temperatures, both at a biological minimum temperature 10 °C and 5 °C, meet biological needs of sunflower plants and is not a limiting factor for this crop growing. The sum of thermal units for the period April–October is 3780 on average for three years. During the period of active sunflower vegetation (April–August) the sum of thermal units is 2868–3258, significantly exceeding the sum of active and effective temperatures at biologically active temperatures 5 °С and 10 °С. The most determined limits of changes in active, effective temperatures and thermal units were observed in May – September. Conclusions. Plasticity and stability of sunflower yield more depending on hybrid and plants density than on conditions of the year. Yield stability coefficient for hybrid 'Ukrainskyi F1' was 1.68 - 2.30; 'P63LL06'- 2.51 - 3.14; 'NK Brio'- 3.15 - 4.63; 'NK Ferti' - 2.70 - 3.75 for yields, respectively: 2.16 - 3.11; 2.58 - 3.52; 3.20 - 4.12; 2.70 - 3.79 t/ha.

Purpose. Determine the effect of plant densities and the use of Organic-balance biological preparation on growth, development of photosynthetic potential and seed yield of maize lines, parental components of perspective hybrids (‘Arabat’, ‘Skadovskyi’, ‘Kakhovskyi’, ‘Azov’, ‘Chonhar’, ‘Hileia’ etc.) under conditions of drip irrigation. Methods. Field, morphometric, statistical. Results. In the flowering phase, the maximum differences in the area of the assimilation surface were observed between the maize lines and between variants using different plant densities and Organic-balance biological preparation. The largest indicator of the area of the assimilation surface was at the mid-late line DK445 for a standing density of 70 thousand plants/ha and the use of organic preparation Organic balance – 0.489 m2/plant. Organic-balance biological preparation had a positive effect on the dynamics of the area of the assimilation surface of the lines, had provide an increase of 0.04 m2/plant or 9.5% over individual phases of development compared to untreated control. The maximum value of the net productivity of photosynthesis – 6.78 g/m2 per day, was obtained from the FAO 420 line at a density of 70 thousand plant/ha, in the FAO 350 line was less by 4.3% with a maximum at a density of 80 thousand. plants/ha. For the FAO 290 line, the optimal plant density was 90,000 plants/ha. It was found that the genotype of the line with a share of influence of 81.2 and 85.2%, respectively, is predominantly influenced by the plant leaf area and the net productivity of photosynthesis. The influence of the organic preparation Organic-balance on these indicators was less and amounted to 13.3 and 12.3% respectively. The least influence on photosynthetic parameters was carried out by the density of phytocoenoses (the proportion of influence of 5.5 and 2.5%). Genotype with 82.2% share had the greatest influence on the seed yield of the lineage-parental components of maize hybrids. Part of the impact of the organic preparation Organic balance was 4.0%, plant density – 5.3%. The maximum seed yield of the FAO 290 line was obtained at a density of 90 thousand. growth./ha and organic drug treatment Organic-balance and amounted to 5.15 t/ha. The FAO 350 line showed the highest yield at a stand density of 80,000. growth/ha and treatment with organic drug Organic-balance – 5.46 t/ha. FAO 420, the highest seed yield, formed at a stand density of 80,000 plants/ha – 6.58 t/ha and treatment with organic drug Organic balance – 7.08 t/ha. Organic Balance treatment increased the seed yield by an average of 8.1%. Conclusions. Photosynthetic indicators of maize lines mainly depend on the genotype. Phytocenosis density and treatment with biopreparation have a much smaller effect. Under irrigation, the maximum seed yield was formed by the FAO 420 parent line of 7.08 t/ha. The results obtained indicate that in order to plan the production of seed material of maize lines, which are the parent components of hybrids, their genotypic features, the response to the density of phytocenoses and biological preparation with growth-stimulating action must be taken into account.

A total of 292 lichen samples, representing over 200 species and at least 65 genera and 26 families, were collected, mainly in Thailand; 170 of the specimens discharged ascospores in the laboratory. Generally, crustose lichens exhibited the highest discharge rates and percentage germination. In contrast, foliose lichen samples, although having a high discharge rate, had a lower percentage germination than crustose species tested. A correlation with season was indicated for a number of species. Continued development of germinated ascospores into recognizable colonies in pure culture was followed for a selection of species. The most successful medium tried was 2 % Malt-Yeast extract agar (MYA), and under static conditions using a liquid culture medium, a sponge proved to be the best of several physical carriers tested; this novel method has considerable potential for experimental work with lichen mycobionts.

Purpose. Determine the effect of plant densities and the use of Organic-balance biological preparation on growth, development of photosynthetic potential and seed yield of maize lines, parental components of perspective hybrids (‘Arabat’, ‘Skadovskyi’, ‘Kakhovskyi’, ‘Azov’, ‘Chonhar’, ‘Hileia’ etc.) under conditions of drip irrigation.Methods. Field, morphometric, statistical.Results. In the flowering phase, the maximum differences in the area of the assimilation surface were observed between the maize lines and between variants using different plant densities and Organic-balance biological preparation. The largest indicator of the area of the assimilation surface was at the mid-late line DK445 for a standing density of 70 thousand plants/ha and the use of organic preparation Organic balance – 0.489 m2/plant. Organic-balance biological preparation had a positive effect on the dynamics of the area of the assimilation surface of the lines, had provide an increase of 0.04 m2/plant or 9.5% over individual phases of development compared to untreated control. The maximum value of the net productivity of photosynthesis – 6.78 g/m2 per day, was obtained from the FAO 420 line at a density of 70 thousand plant/ha, in the FAO 350 line was less by 4.3% with a maximum at a density of 80 thousand. plants/ha. For the FAO 290 line, the optimal plant density was 90,000 plants/ha. It was found that the genotype of the line with a share of influence of 81.2 and 85.2%, respectively, is predominantly influenced by the plant leaf area and the net productivity of photosynthesis. The influence of the organic preparation Organic-balance on these indicators was less and amounted to 13.3 and 12.3% respectively. The least influence on photosynthetic parameters was carried out by the density of phytocoenoses (the proportion of influence of 5.5 and 2.5%). Genotype with 82.2% share had the greatest influence on the seed yield of the lineage-parental components of maize hybrids. Part of the impact of the organic preparation Organic balance was 4.0%, plant density – 5.3%. The maximum seed yield of the FAO 290 line was obtained at a density of 90 thousand. growth./ha and organic drug treatment Organic-balance and amounted to 5.15 t/ha. The FAO 350 line showed the highest yield at a stand density of 80,000. growth/ha and treatment with organic drug Organic-balance – 5.46 t/ha. FAO 420, the highest seed yield, formed at a stand density of 80,000 plants/ha – 6.58 t/ha and treatment with organic drug Organic balance – 7.08 t/ha. Organic Balance treatment increased the seed yield by an average of 8.1%.Conclusions. Photosynthetic indicators of maize lines mainly depend on the genotype. Phytocenosis density and treatment with biopreparation have a much smaller effect. Under irrigation, the maximum seed yield was formed by the FAO 420 parent line of 7.08 t/ha. The results obtained indicate that in order to plan the production of seed material of maize lines, which are the parent components of hybrids, their genotypic features, the response to the density of phytocenoses and biological preparation with growth-stimulating action must be taken into account. | Цель. Определить влияние густоты стояния растений и применения биопрепарата Органик-баланс на рост, развитие фотосинтетического потенциала и урожайность семян линий кукурузы, родительских компонентов перспективных гибридов (‘Арабат’, ‘Скадовський’, ‘Каховський’, ‘Aзов’, ‘Чонгар’, ‘Гилея’ т.д.) в условиях капельного орошения.Методы. Полевой, морфо-метрический, статистические.Результаты. В фазу цветения початков наблюдали максимальные различия значения площади ассимиляционной поверхности между линиями кукурузы и между вариантами с применением различной густоты растений и биопрепарата Органик-баланс. Наибольший показатель площади ассимиляционной поверхности был у среднепоздней линии ДК445 при густоте стояния 70 тыс. раст./га и использовании биопрепарата Органик-баланс – 0,489 м2/растение. Биопрепарат Органик-баланс положительно влиял на динамику площади ассимиляционной поверхности линий, обеспечив прирост по отдельным фазам развития по сравнению с необработанным контролем на 0,04 м2/растение или на 9,5%. Максимальную урожайность семян линии группы ФАО 290 (ДК247) получили при густоте 90 тыс. раст./га и обработке биопрепаратом Органик-баланс ‒ 5,15 т/га. У линии гуппы ФАО 350 (ДК205710) лучшую урожайность зафиксировали на варианте с густотой стояния 80 тыс. раст./га и при обработке биопрепаратом Органик-баланс ‒ 5,46 т/га. Наибольшую урожайность семян линии группы ФАО 420 (ДК445) было отмечено на варианте с густотой стояния 80 тыс. раст./га ‒ 6,58 т/га и при обработке биопрепаратом Органик-баланс ‒ 7,08 т/га. Использование биопрепарата Органик-баланс увеличивало урожайность семян в среднем на 8,1%.Выводы. Фотосинтетические показатели линий кукурузы преимущественно зависили от генотипа. Плотность фитоценоза и обработка биопрепаратом имели гораздо меньшее влияние на продуктивность фотосинтеза. В условиях орошения максимальную урожайность семян было отмечено у среднепоздней родительской линии ДК445 – 7,08 т/га. В соответствии с полученными результатами производство семенного материала родительских компонентов необходимо осуществлять с учётом их генотипических характеристик, реакции на плотность фитоценоза и использования биопрепаратов с ростстимулирующим эффектом. | Мета. Визначити вплив густоти рослин та застосування біопрепарату Органік-баланс на розвиток, формування фотосинтетичного потенціалу та врожайності насіння батьківських компонентів зареєстрованих гібридів (‘Арабат’, ‘Скадовський’, ‘Каховський’, ‘Азов’, ‘Чонгар’, ‘Гілея’ тощо) за умов краплинного зрошення.Методи. Польовий, морфометричний, статистичні.Результати. У фазу цвітіння качанів спостерігали максимальні відмінності значення площі асиміляційної поверхні між лініями кукурудзи та між варіантами з застосуванням різної густоти рослин і біопрепарату Органік-баланс. Найбільшим показник площі асиміляційної поверхні був у середньопізньої лінії ДК445 за густоти стояння 70 тис. росл./га та використання біопрепарату Органік-баланс – 0,489 м2/рослину. Біопрепарат Органік-баланс позитивно впливав на динаміку площі асиміляційної поверхні ліній, забезпечивши приріст за окремими фазами розвитку порівняно з необробленим контролем на 0,04 м2/рослину або на 9,5%. Максимальну врожайність насіння лінії групи ФАО 290 (ДК247) було отримано за густоти 90 тис. росл./га та обробляння біопрепаратом Органік-баланс ‒ 5,15 т/га. У лінії групи ФАО 350 (ДК205710) кращу врожайність було зафіксовано на варіанті з густотою стояння 80 тис. росл./га та при оброблянні біопрепаратом Органік-баланс – 5,46 т/га. Найбільшу врожайність насіння лінії групи ФАО 420 (ДК445) було відмічено у варіанті з густотою стояння 80 тис. рослин/га – 6,58 т/га та при оброблянні біопрепаратом Органік-баланс – 7,08 т/га. Застосування біопрепарату Органік-баланс збільшувало врожайність насіння у середньому на 8,1%.Висновки. Фотосинтетичні показники ліній кукурудзи переважно залежали від генотипу. Архітектоніка агрофітоценозу та застосування біопрепарату Органік-баланс значно менше впливали на продуктивність фотосинтезу. В умовах зрошення максимальну врожайність насіння було відмічено у середньопізньої батьківської лінії ДК445 – 7,08 т/га. Відповідно до отриманих результатів виробництво насіннєвого матеріалу батьківських компонентів необхідно здійснювати із врахуванням їхніх генотипових характеристик, реакцій на густоту агрофітоценозу та застосування біопрепаратів з ефектом стимулювання росту.

Purpose. To determine the patterns of influence of gro­wing factors on the economically valuable characteristics of new soybean varieties. Methods. Field, biochemical methods, analysis of variance. Results. The rates of the influence of the growing zone, the conditions of the growing season of the year and the soybean variety on the yield, weight of 1000 seeds, the content of crude protein and oil, and protein and oil collection were determined. The greatest influence on the yield of the studied varieties had a growing zone – 55%. On average the maximum yield was obtained in Forest-steppe zone 2.48–3.58 t/ha, the lowest – in Steppe zone (1.33–1.89 t/ha) for 2017–2018. In the same period the weight of 1000 seeds on average was 125.1–169.9 g in the Steppe zone, in Forest-Steppe zone it was 130.2–207.8 g and 143.9–188.0 g in Fo­rrest zone. According to the results of analysis of variance, it was determined that the growing zone has the greatest influence on weight of 1000 seeds – 31%, variety – 21% and conditions of the growing season of the year – 13%. The main characteristics of soybean quality are the content of crude protein and oil in seeds. The highest level of crude protein was observed in soybean variety in Forest-Steppe zone – 37.5–44.0%. In Forrest zone, the crude protein content was 34.4–41.7%, in the Steppe zone 35.4–40.1%. The maximum level of this characteristic was observed in variety ‘NS Diyana’ – 44.0% in Forest-Steppe zone, in Forrest zone – in the variety ‘Alexa’ 41.7%, in Steppe zone – in variety ‘NS Diyana’ 40.1%. Thus, the growing zone (31%) and variety (25%) had the greatest influence on the content of crude protein; the interaction of factors (variety and growing zone) affected 17%. The average oil content for 2017‑2018 ranges from 19.8 to 24.2%. High oil content was noted in ‘Adsoy’ variety in Forrest and Forest-Steppe zones, 24.2 and 22.6%, respectively, and ‘Azimut’ – 23.8% in Steppe zone. The results of the analysis of variance showed that the growing zone to a greater extent affected the oil content in soybean seeds by 25%, variety – 21%, and the interaction of factors of the variety and gro­wing zone by 21%. Conclusions. According to the results of multifactor analysis of variance, it was determined that the growing zone had the greatest influence on the studied parameters. It was found that the rate of the influence of gro­wing zone of soybean varieties is 25–55%, depending on the studied characteristic. It was determined that the influence of the variety was 4–25%, the conditions of the growing season affected by 1–26%.

Wheat is one of the main crops in China, and crop yield prediction is important for regional trade and national food security. There are increasing concerns with respect to how to integrate multi-source data and employ machine learning techniques to establish a simple, timely, and accurate crop yield prediction model at an administrative unit. Many previous studies were mainly focused on the whole crop growth period through expensive manual surveys, remote sensing, or climate data. However, the effect of selecting different time window on yield prediction was still unknown. Thus, we separated the whole growth period into four time windows and assessed their corresponding predictive ability by taking the major winter wheat production regions of China as an example in the study. Firstly we developed a modeling framework to integrate climate data, remote sensing data and soil data to predict winter wheat yield based on the Google Earth Engine (GEE) platform. The results show that the models can accurately predict yield 1~2 months before the harvesting dates at the county level in China with an R2 &gt: 0.75 and yield error less than 10%. Support vector machine (SVM), Gaussian process regression (GPR), and random forest (RF) represent the top three best methods for predicting yields among the eight typical machine learning models tested in this study. In addition, we also found that different agricultural zones and temporal training settings affect prediction accuracy. The three models perform better as more winter wheat growing season information becomes available. Our findings highlight a potentially powerful tool to predict yield using multiple-source data and machine learning in other regions and for crops.

Wheat (<i>Triticum aestivum</i> L.) is one of the main staple foods worldwide. Wide precise sowing (Wps) is a sowing method believed to produce the highest winter wheat grain yields; however, the reasons for its high yields and its effect on quality traits have not been effectively studied. Hence, a two-year field experiment was conducted to evaluate the effect of three sowing methods, dibbling (Db), drilling (Dr), and Wps and seed rates (112.5 kg ha⁻¹, 150 kg ha⁻¹, 187.5 kg ha⁻¹, and 225 kg ha⁻¹) on grain yield and the quality of winter wheat. Wps, Dr, and Db produced statistically similar results in terms of the grain yield and most of the quality traits measured. The grain yield increased significantly with the increasing rate, the highest being 7488.89 kg ha⁻¹ at a seed rate of 225 kg ha⁻¹. The total protein, albumin, and globulin were not affected by the sowing methods, but prolamin and glutelin were affected by the Dr and Wps, respectively. The total starch in both years, and the amylose and amylopectin in the first year, were affected only by the seed rates, with 60.11%, 23.2%, 38.63%, or higher values. The results indicated that for the wheat yield and quality traits, Wps, Dr and Db can mostly be used interchangeably. For the protein, starch, and grain yield, the suitable seed rates were 112.5 kg ha⁻¹, 150 kg ha⁻¹, and 225 kg ha⁻¹, respectively.

Purpose. To determine the growing factors impact the economically valuable characteristics of new soft winter wheat varieties.Methods. Field, biochemical methods, ANOVA.Results. The influence of the growing zone, the growing season conditions and the genotype of the soft winter wheat varieties on yield, protein and gluten content were determined. The conditions of the growing zone have the greatest influence on studied varieties yield – 73%. On average, for 2020–2021, the maximum yield was obtained in the Forest-Steppe zone – 6.23–8.39 t/ha. In the Forest zone, the yield of studied soft winter wheat varieties was 5.31–7.02 t/ha. For the Steppe zone, the yield was within 5.16–6.63 t/ha. It was determined that varieties which showed low yield in the Forrest zone were characterized by higher yield in the Steppe zone. It was found that the growing zone (49%) and growing season (42%) conditions have the greatest effect on the protein content in grain of studied varieties. It was determined that variety ‘MANDARIN’ was characterized by the highest protein content in all growing zones (14.5–16.4%). In the Steppe and Forest-Steppe zones, high protein content was identified in grain of wheat varieties ‘Tata Mata’ (13.6–14.3%), ‘Eneida’ (13.6–14.3%) and ‘Novator’ (14.2 and 13.2%), in the Forest zone – in grain of varieties ‘Vahoma’ and ‘Eneida’ – 13.4% each. It was found that the growing zone conditions impacted gluten content in grain of studied wheat varieties by 64%, the influence of the growing season conditions was 28%. The effect of variety genotype on protein and gluten content was 5 and 4%, respectively. The grain of soft winter wheat varieties ‘MANDARIN’ and ‘Eneida’ contained the largest amount of gluten in all growing zones (27.7–31.8% and 27.3–30.3%). For the Steppe and Forest-Steppe zones, a high gluten content was found in grains of varieties ‘Illusion’ (28.4 and 30.8%) and ‘Tata Mata’ (27.8 and 29.8%).Conclusions. It was found that growing zone conditions of soft winter wheat varieties (73%) and the interaction of factors zone × year (21%) impacted the yield significantly. The growing zone conditions (49 and 64%), growing season conditions (21 and 28%) and genotype of variety (5 and 4%, respectively) had a significant influence on protein and gluten content. Therefore, a significant influence of growing zone conditions on the productivity indicators of soft winter wheat determines the need to select varieties in order to obtain a high yield, taking into account the soil and climatic zone | Мета. Визначити вплив факторів вирощування на господарсько-цінні характеристики нових сортів пшениці м’якої озимої.Методи. Польовий, біохімічні методи аналізу та дисперсійний аналіз.Результати. Встановлено частки впливу умов зони вирощування, вегетаційного періоду року та генотипу на врожайність, вміст білка і клейковини в зерні сортів пшениці м’якої озимої. На врожайність досліджуваних сортів найбільше вплинули умови зони вирощування (73%). Так, у середньому за 2020–2021 рр. у зоні Лісостепу вона становила 6,23–8,39 т/га (максимальна); Полісся – 5,31–7,02; Степу – 5,16–6,63 т/га. Сорти, які в зоні Полісся показали низьку врожайність, у Степу характеризувалися вищою. Частка впливу умов зони вирощування на вміст білка в зерні досліджуваних сортів становила 49%; умов вегетаційного періоду року – 42%. Найбільший вміст білка у всіх зонах вирощування мав сорт ‘МАНДАРИН’ (14,5–16,4%). У Степу та Лісостепі найбільшу його кількість виявлено в зерні сортів ‘Тата Мата’ (13,6–14,3%), ‘Енеїда’ (13,6–14,3%) та ‘Новатор’ (14,2 і 13,2%), в Поліссі – у ‘Вагома’ та ‘Енеїда’ (по 13,4%). На вміст клейковини в зерні досліджуваних сортів умови зони вирощування впливали на 64%, вегетаційного періоду року – на 28%. Вплив генотипу на вміст білка і клейковини становив 5 і 4% відповідно. У всіх зонах вирощування найбільше клейковини містило зерно сортів ‘МАНДАРИН’ та ‘Енеїда’ (27,7–31,8 і 27,3–30,3%). У Степу та Лісостепі високий вміст клейковини мали сорти ‘Ілюзіон’ (28,4 та 30,8%) і ‘Тата Мата’ (27,8 та 29,8%).Висновки. Встановлено, що на врожайність сортів пшениці м’якої озимої суттєво впливали умови зони вирощування (73%) та взаємодія факторів зона × рік (21%). Частка впливу умов зони вирощування на вміст білка і клейковини становила 49 і 64% (суттєва), умов вегетаційного періоду року – 21 і 28%, а генотипу – 5 і 4% відповідно. Отже, для отримання високого врожаю пшениці м’якої озимої необхідно підбирати сорти, враховуючи істотний вплив умов ґрунтово-кліматичної зони вирощування на показники продуктивності.

Purpose. To determine the patterns of influence of gro­wing factors on the economically valuable characteristics of new soybean varieties.Methods. Field, biochemical methods, analysis of variance.Results. The rates of the influence of the growing zone, the conditions of the growing season of the year and the soybean variety on the yield, weight of 1000 seeds, the content of crude protein and oil, and protein and oil collection were determined. The greatest influence on the yield of the studied varieties had a growing zone – 55%. On average the maximum yield was obtained in Forest-steppe zone 2.48–3.58 t/ha, the lowest – in Steppe zone (1.33–1.89 t/ha) for 2017–2018. In the same period the weight of 1000 seeds on average was 125.1–169.9 g in the Steppe zone, in Forest-Steppe zone it was 130.2–207.8 g and 143.9–188.0 g in Fo­rrest zone. According to the results of analysis of variance, it was determined that the growing zone has the greatest influence on weight of 1000 seeds – 31%, variety – 21% and conditions of the growing season of the year – 13%. The main characteristics of soybean quality are the content of crude protein and oil in seeds. The highest level of crude protein was observed in soybean variety in Forest-Steppe zone – 37.5–44.0%. In Forrest zone, the crude protein content was 34.4–41.7%, in the Steppe zone 35.4–40.1%. The maximum level of this characteristic was observed in variety ‘NS Diyana’ – 44.0% in Forest-Steppe zone, in Forrest zone – in the variety ‘Alexa’ 41.7%, in Steppe zone – in variety ‘NS Diyana’ 40.1%. Thus, the growing zone (31%) and variety (25%) had the greatest influence on the content of crude protein; the interaction of factors (variety and growing zone) affected 17%. The average oil content for 2017‑2018 ranges from 19.8 to 24.2%. High oil content was noted in ‘Adsoy’ variety in Forrest and Forest-Steppe zones, 24.2 and 22.6%, respectively, and ‘Azimut’ – 23.8% in Steppe zone. The results of the analysis of variance showed that the growing zone to a greater extent affected the oil content in soybean seeds by 25%, variety – 21%, and the interaction of factors of the variety and gro­wing zone by 21%.Conclusions. According to the results of multifactor analysis of variance, it was determined that the growing zone had the greatest influence on the studied parameters. It was found that the rate of the influence of gro­wing zone of soybean varieties is 25–55%, depending on the studied characteristic. It was determined that the influence of the variety was 4–25%, the conditions of the growing season affected by 1–26%. | Цель. Установить закономерности влияния факторов выращивания на хозяйственно-ценные характеристики новых сортов сои.Методы. Полевой, биохимические методы анализа, дисперсионный анализ.Результаты. Определены доли влияния зоны выращивания, условий вегетационного периода года и сорта сои на урожайность, массу 1000 семян, содержание сырого протеина и масла, сбора белка и масла. Наибольшее влияние на показатель урожайности исследуемых сортов имела зона выращивания – 55%. В среднем за 2017–2018 гг. максимальная урожайность получена в зоне Лесостепи – 2,48–3,58 т/га, самая низкая – в зоне Степи 1,33–1,89 т/га. Значение показателя массы 1000 семян в среднем за 2017–2018 гг. составляют в зоне Степи – 125,1–169,9 г, в Лесостепи – 130,2–207,8 г и 143,9–188,0 г в зоне Полесья. По результатам дисперсионного анализа было определено, что на массу 1000 семян наибольшее влияние имела зона выращивания – 31%, меньшее влияние оказывал сорт – 21% и условия вегетационного периода года – 13%. Основные показатели качества сои культурной – содержание сырого протеина и масла в семенах. Наибольшие значения содержания сырого протеина отмечено в зоне Лесостепи – 37,5–44,0%. В зоне Полесья содержание сырого протеина составило 34,4–41,7%, в зоне Степи – 35,4–40,1%. Максимальные значения этого показателя были отмечены у сорта ‘НС Дияна’ – 44,0% в зоне Лесостепи, в зоне Полесья – у сорта ‘Алекса’ – 41,7%, в степной зоне ‘НС Дияна’ – 40,1%. Таким образом, наибольшее влияние на содержания сырого протеина имел фактор зоны выращивания (31%) и сорт (25%), взаимодействие факторов сорта и зоны выращивания влияло на 17%. Содержание масла в среднем за 2017–2018 гг. составляло от 19,8 до 24,2%. Высокое содержание масла было отмечено у сорта ‘Адсой’ в зоне Полесья и Лесостепи – 24,2 и 22,6%, соответственно, а также у сорта ‘Азимут’ – 23,8% в степной зоне. По результатам дисперсионного анализа было определено, что на показатель содержания масла в семенах сои больше всего влияли зона выращивания на 25%, сорт – 21%, и взаимодействие факторов сорта и зоны выращивания на 21%.Выводы. Наибольшее влияние на исследуемые показатели имела зона выращивания. Определено, что доля влияния зоны выращивания сортов сои составляет 25–55% в зависимости от исследуемого показателя. Определено, что доля влияния сорта составляла 4–25%, условия вегетационного периода года влияли на 1–26%. | Мета. Установити закономірності впливу факторів вирощування на господарсько-цінні характеристики нових сортів сої.Методи. Польовий, біохімічні методи аналізу, дисперсійний аналіз.Результати. Визначено частки впливу таких факторів як зона вирощування, умови вегетаційного періоду року та сорт сої на врожайність, масу 1000 насінин, уміст сирого протеїну та олії, збір білка та олії з гектара. Найбільше впливав на показник урожайності досліджуваних сортів фактор зони вирощування – його вплив складав 55%. У середньому за 2017–2018 рр. максимальну врожайність досліджуваних сортів отримано в зоні Лісостепу – 2,48–3,58 т/га, найменшу – в зоні Степу – 1,33–1,89 т/га. Значення показника маси 1000 насінин в середньому за 2017–2018 рр. становили для зони Степу – 125,1–169,9 г, Лісостепу – 130,2–207,8 г та 143,9–188,0 г – для зони Полісся. За допомогою дисперсійного аналізу було визначено, що на масу 1000 насінин найбільше впливала зона вирощування – 31%, менше значення мав фактор сорту – 21% та умови вегетаційного періоду року – 13%. Найбільші значення вмісту сирого протеїну в насінні сої відмічено у зоні Лісостепу – 37,5–44,0%. У зоні Полісся вміст сирого протеїну для досліджуваних сортів становив 34,4–41,7%, в зоні Степу – 35,4–40,1%. Максимальні значення цього показника було відмічено для сорту ‘НС Діяна’ – 44,0% в зоні Лісостепу, в зоні Полісся –  для ‘Алєкса’ – 41,7%, в степовій зоні – для сорту ‘НС Діяна’ – 40,1%. Таким чином, найбільший вплив на вміст сирого протеїну мав фактор зони вирощування (31%) та сорту (25%), взаємодія факторів «сорт» та «зона вирощування» впливала на 17%. Вміст олії для досліджуваних сортів сої в середньому за 2017–2018 рр. становив від 19,8 до 24,2% в трьох зонах вирощування. Найвищий вміст олії було відмічено у насінні сорту ‘Адсой’ в зоні Полісся та Лісостепу – 24,2 та 22,6%, відповідно, а також у сорту ‘Азимут’ – 23,8% в степовій зоні. Використання дисперсійного аналізу дозволило встановити, що на вміст олії в насінні сої найбільше впливали фактор зони вирощування – його вплив становив 25%, вклад фактору належності до певного сорту – 21%, взаємодія факторів «сорт» та «зона вирощування» впливала на 21%.Висновки. Найбільший вплив на досліджувані показники чинив фактор зони вирощування. Визначено, що частка впливу фактора зони вирощування сортів сої на показники врожайності, маси 1000 насінин, умісту сирого протеїну та олії, збору білка та олії з гектара становила 25–55%. Визначено, що частка впливу фактору сорту становила 4–25%, умови вегетаційного періоду року впливали на 1–26%.

Wheat is one of the most important staple foods in temperate regions and is in increasing demand in urbanizing and industrializing countries such as China. Enhancing yield potential to meet the population explosion around the world and maintaining grain quality in wheat plants under climate change are crucial for food security and human nutrition. Global warming resulting from greenhouse effect has led to more frequent occurrence of extreme climatic events. Elevated atmospheric CO₂ concentration (eCO₂) along with rising temperature has a huge impact on ecosystems, agriculture and human health. There are numerous studies investigating the eCO₂ and heatwaves effects on wheat growth and productivity, and the mechanisms behind. This review outlines the state-of-the-art knowledge regarding the effects of eCO₂ and heat stress, individually and combined, on grain yield and grain quality in wheat crop. Strategies to enhance the resilience of wheat to future warmer and CO₂-enriched environment are discussed.

Purpose. To determine the patterns of influence of gro­wing factors on the economically valuable characteristics of new soybean varieties. Methods. Field, biochemical methods, analysis of variance. Results. The rates of the influence of the growing zone, the conditions of the growing season of the year and the soybean variety on the yield, weight of 1000 seeds, the content of crude protein and oil, and protein and oil collection were determined. The greatest influence on the yield of the studied varieties had a growing zone – 55%. On average the maximum yield was obtained in Forest-steppe zone 2.48–3.58 t/ha, the lowest – in Steppe zone (1.33–1.89 t/ha) for 2017–2018. In the same period the weight of 1000 seeds on average was 125.1–169.9 g in the Steppe zone, in Forest-Steppe zone it was 130.2–207.8 g and 143.9–188.0 g in Fo­rrest zone. According to the results of analysis of variance, it was determined that the growing zone has the greatest influence on weight of 1000 seeds – 31%, variety – 21% and conditions of the growing season of the year – 13%. The main characteristics of soybean quality are the content of crude protein and oil in seeds. The highest level of crude protein was observed in soybean variety in Forest-Steppe zone – 37.5–44.0%. In Forrest zone, the crude protein content was 34.4–41.7%, in the Steppe zone 35.4–40.1%. The maximum level of this characteristic was observed in variety ‘NS Diyana’ – 44.0% in Forest-Steppe zone, in Forrest zone – in the variety ‘Alexa’ 41.7%, in Steppe zone – in variety ‘NS Diyana’ 40.1%. Thus, the growing zone (31%) and variety (25%) had the greatest influence on the content of crude protein; the interaction of factors (variety and growing zone) affected 17%. The average oil content for 2017‑2018 ranges from 19.8 to 24.2%. High oil content was noted in ‘Adsoy’ variety in Forrest and Forest-Steppe zones, 24.2 and 22.6%, respectively, and ‘Azimut’ – 23.8% in Steppe zone. The results of the analysis of variance showed that the growing zone to a greater extent affected the oil content in soybean seeds by 25%, variety – 21%, and the interaction of factors of the variety and gro­wing zone by 21%. Conclusions. According to the results of multifactor analysis of variance, it was determined that the growing zone had the greatest influence on the studied parameters. It was found that the rate of the influence of gro­wing zone of soybean varieties is 25–55%, depending on the studied characteristic. It was determined that the influence of the variety was 4–25%, the conditions of the growing season affected by 1–26%.

Мета. Визначити вплив факторів вирощування на господарсько-цінні характеристики нових сортів пшениці м’якої озимої. Методи. Польовий, біохімічні методи аналізу та дисперсійний аналіз. Результати. Встановлено частки впливу умов зони вирощування, вегетаційного періоду року та генотипу на врожайність, вміст білка і клейковини в зерні сортів пшениці м’якої озимої. На врожайність досліджуваних сортів найбільше вплинули умови зони вирощування (73%). Так, у середньому за 2020–2021 рр. у зоні Лісостепу вона становила 6,23–8,39 т/га (максимальна); Полісся – 5,31–7,02; Степу – 5,16–6,63 т/га. Сорти, які в зоні Полісся показали низьку врожайність, у Степу характеризувалися вищою. Частка впливу умов зони вирощування на вміст білка в зерні досліджуваних сортів становила 49%; умов вегетаційного періоду року – 42%. Найбільший вміст білка у всіх зонах вирощування мав сорт ‘МАНДАРИН’ (14,5–16,4%). У Степу та Лісостепі найбільшу його кількість виявлено в зерні сортів ‘Тата Мата’ (13,6–14,3%), ‘Енеїда’ (13,6–14,3%) та ‘Новатор’ (14,2 і 13,2%), в Поліссі – у ‘Вагома’ та ‘Енеїда’ (по 13,4%). На вміст клейковини в зерні досліджуваних сортів умови зони вирощування впливали на 64%, вегетаційного періоду року – на 28%. Вплив генотипу на вміст білка і клейковини становив 5 і 4% відповідно. У всіх зонах вирощування найбільше клейковини містило зерно сортів ‘МАНДАРИН’ та ‘Енеїда’ (27,7–31,8 і 27,3–30,3%). У Степу та Лісостепі високий вміст клейковини мали сорти ‘Ілюзіон’ (28,4 та 30,8%) і ‘Тата Мата’ (27,8 та 29,8%). Висновки. Встановлено, що на врожайність сортів пшениці м’якої озимої суттєво впливали умови зони вирощування (73%) та взаємодія факторів зона × рік (21%). Частка впливу умов зони вирощування на вміст білка і клейковини становила 49 і 64% (суттєва), умов вегетаційного періоду року – 21 і 28%, а генотипу – 5 і 4% відповідно. Отже, для отримання високого врожаю пшениці м’якої озимої необхідно підбирати сорти, враховуючи істотний вплив умов ґрунтово-кліматичної зони вирощування на показники продуктивності.

Wheat is one of the most important staple foods in temperate regions and is in increasing demand in urbanizing and industrializing countries such as China. Enhancing yield potential to meet the population explosion around the world and maintaining grain quality in wheat plants under climate change are crucial for food security and human nutrition. Global warming resulting from greenhouse effect has led to more frequent occurrence of extreme climatic events. Elevated atmospheric CO₂ concentration (eCO₂) along with rising temperature has a huge impact on ecosystems, agriculture and human health. There are numerous studies investigating the eCO₂ and heatwaves effects on wheat growth and productivity, and the mechanisms behind. This review outlines the state-of-the-art knowledge regarding the effects of eCO₂ and heat stress, individually and combined, on grain yield and grain quality in wheat crop. Strategies to enhance the resilience of wheat to future warmer and CO₂-enriched environment are discussed.

Durum wheat (Triticum turgidum L. subsp. durum) is one of the major crops in the Mediterranean basin, where water stress often occurs during grain filling which represents a critical stage for the synthesis and accumulation of storage proteins (gliadins and glutenins). The aim of the study is to evaluate, by two-dimensional gel electrophoresis (2DE SDS-PAGE), the storage proteins composition of two durum wheat cultivars (Ciccio and Svevo) cultivated in a growth chamber under two different water regimes (control and water deficit). At milk stage and physiological maturity, gluten proteins have been extracted and separated by 2DE SDS-PAGE. The analysis of the gels was performed by the software ImageMaster 2D Platinum (Amersham). The results showed differences in protein expression within the different gel regions between water regimes and cultivars; under water deficit the rate of protein accumulation was faster for all the protein regions, either at milk and physiological stage. Protein accumulation within high molecular weight (H) region resulted faster in Ciccio than in Svevo mainly in the control treatment. In the low molecular weight region between 48 and 35 kDa (L 48-35), the cultivar Ciccio showed a higher protein expression than Svevo. Furthermore under water deficit a marked increase in H region volume and a decrease in the L 48-35 region was observed only for Svevo; instead in Ciccio no change was observed showing this cultivar a greater stability on changing water regime. Further studies by the use of mass spectrometry are necessary to identify specific peptides relative to drought stress during grain filling as well as to investigate the relationships with technological quality.

Purpose. Provide bioinformatic analysis and comparison of target regions of the acetolactate synthase (als) gene in several members of the Poaceae family and, on the basis of the obtained data, explore the possibility of creating a unified genetic construct for als gene editing using the CRISPR-Cas9 system. Methods. The als gene sequences of various members of the Poaceae family were obtained from the NCBI: Nucleotide database. For comparison, a fragment of the imi-2 gene of wheat of the soft line ‘TealIMI11A’ was used in two regions of the 367–390 and 1729–1749 nucleotide sequences. The Sequence Viewer 3.37.0 tool was used to assess the presence of nucleotide substitutions in the working sequence of the imi-2 gene. The dendrogram was built using the “Blast Tree” tool from the NCBI: Blast: Nucleotide resource. Results. A comparative analysis of the nucleotide sequences of seven different species was carried out: soft wheat (Triticum aestivum L.), common wild oat (Avena fatua L.), barley (Hordeum vulgare L.), Asian rice (Oryza sativa L.), maize (Zea mays L.), aleppo grass (Sorghum halepense Pers.) and Tausch’s goatgrass (Aegilops tauschii Coss.). The dendrogram is based on the gene sequence als, showed that all studied genotypes can be divided into two blocks: the first block included maize and aleppo grass, and the second block, a separate branch includes Asian rice and common wild oat, barley, soft wheat and Tausch’s goatgrass. 367–390 nucleotide sequences of soft wheat showed the highest 100% homology to Asian rice, Tausch’s goatgrass and common wild oat. The lowest homo­logy was for maize and aleppo grass at 83.3%. Evaluation of the nucleotide sequence 1729–1749 showed no complete homology at the 100% level. It was the highest for barley and Tausch’s goatgrass – 95.2%, and the lowest for rice, maize and aleppo grass – 80.9% each. Conclusions. The analysis confirms a significant degree of homology of the als gene sequence for various species of the Poaceae family, which allows us to create a universal genetic vector. However, taking into account the high degree of sequence homology for species such as soft wheat, Tausch’s goatgrass, barley, Asian rice and common wild oat, it can be assumed that the corresponding genetic vector can be used with the greatest efficiency to alter the als gene of these genotypes.

Purpose. Provide bioinformatic analysis and comparison of target regions of the acetolactate synthase (als) gene in several members of the Poaceae family and, on the basis of the obtained data, explore the possibility of creating a unified genetic construct for als gene editing using the CRISPR-Cas9 system.Methods. The als gene sequences of various members of the Poaceae family were obtained from the NCBI: Nucleotide database. For comparison, a fragment of the imi-2 gene of wheat of the soft line ‘TealIMI11A’ was used in two regions of the 367–390 and 1729–1749 nucleotide sequences. The Sequence Viewer 3.37.0 tool was used to assess the presence of nucleotide substitutions in the working sequence of the imi-2 gene. The dendrogram was built using the “Blast Tree” tool from the NCBI: Blast: Nucleotide resource. Results. A comparative analysis of the nucleotide sequences of seven different species was carried out: soft wheat (Triticum aestivum L.), common wild oat (Avena fatua L.), barley (Hordeum vulgare L.), Asian rice (Oryza sativa L.), maize (Zea mays L.), aleppo grass (Sorghum halepense Pers.) and Tausch’s goatgrass (Aegilops tauschii Coss.). The dendrogram is based on the gene sequence als, showed that all studied genotypes can be divided into two blocks: the first block included maize and aleppo grass, and the second block, a separate branch includes Asian rice and common wild oat, barley, soft wheat and Tausch’s goatgrass. 367–390 nucleotide sequences of soft wheat showed the highest 100% homology to Asian rice, Tausch’s goatgrass and common wild oat. The lowest homo­logy was for maize and aleppo grass at 83.3%. Evaluation of the nucleotide sequence 1729–1749 showed no complete homology at the 100% level. It was the highest for barley and Tausch’s goatgrass – 95.2%, and the lowest for rice, maize and aleppo grass – 80.9% each.Conclusions. The analysis confirms a significant degree of homology of the als gene sequence for various species of the Poaceae family, which allows us to create a universal genetic vector. However, taking into account the high degree of sequence homology for species such as soft wheat, Tausch’s goatgrass, barley, Asian rice and common wild oat, it can be assumed that the corresponding genetic vector can be used with the greatest efficiency to alter the als gene of these genotypes. | Цель. Провести биоинформатический анализ и сравнить целевые участки гена ацетолактат синтазы (als) у нескольких представителей семейства Злаковых и на основе полученных данных исследовать возможность создания унифицированной генетической конструкции для направленного изменения гена als с помощью системы CRISPR-Cas9.Методы. Сиквенсы гена als различных представителей семейства Злаковых были получены из базы данных NCBI: Nucleotide. Для сравнения был использован фрагмент гена imi-2 пшеницы мягкой линии ‘TealIMI11A’ в двух участках сиквенса 367–390 и 1729–1749 нуклеотидов. Для оценки наличия нуклеотидных замен в рабочих сиквенсах гена imi-2 использовали инструмент ‘Sequence Viewer 3.37.0’. Дендрограмму строили с использованием инструмента “Blast Tree” с ресурса NCBI: Blast: Nucleotide. Результаты. Был проведен сравнительный анализ нуклео­тидных последовательностей семи различных видов: пшеницы мягкой (Triticum aestivum L.), овсюга обыкновенного (Avena fatua L.), ячменя обыкновенного (Hordeum vulgare L.), риса посевного (Oryza sativa L.), кукурузы (Zea mays L.), сорго алепского (Sorghum halepense Pers.) и эгилопса Тауша (Aegilops tauschii Coss.). На основе сравнительного анализа сиквенса участков гена іmi-2 для 7-ми генотипов построили филогенетическое дерево, которое показало, что исследованные виды можно разделить на два блока. В первый блок вошли кукуруза и сорго алеппское, а ко второму блоку – рис посевной, овсюг обыкновенный, ячмень обыкновенный, пшеница мягкая и эгилопс Тауша. Определение степени гомологии между последовательностью 367–390 нуклеотида пшеницы мягкой и другими видами показала, что абсолютной была гомология с соответствующими последовательностями риса посевного, эгилопса Тауша и овсюга обыкновенного (100%). Наименьшим нуклеотидное родство оказалось для кукурузы и сорго алеппского – по 83,3%. На участке 1729–1749 нук­леотидов гена іmi-2 никакой из 6 сиквенсов не показал 100% гомологии с последовательностью пшеницы мягкой. Самой высокой она была для ячменя обыкновенного и эгилопса Тауша – 95,2%, а наименьшей для риса посевного, кукурузы и сорго алеппского – по 80,9%.Выводы. Проведенный анализ подтверждает значительную степень гомологии последовательности гена als для различных видов семейства Злаковых. Это позволяет допустить возможность создания универсальной генетической конструкции, с помощью которой можно осуществлять редактирование генома и получения растений, устойчивых к гербициду разных представителей этой семьи. Учитывая высокую степень гомологии последовательностей для таких видов как пшеница мягкая, эгилопс Тауша, ячмень обыкновенный, рис посевной и овсюг обыкновенный, можно предположить, что с наибольшей эффективностью соответствующая генетическая конструкция может быть использована для редактирования гена als именно этих генотипов. | Провести біоінформатичний аналіз та порівняти цільові ділянки гена ацетолактат синтази (als) у декількох представників родини Злакових і на основі отриманих даних дослідити можливість створення уніфікованої генетичної конструкції для направленого редагування гена als за допомогою системи CRISPR-Cas9. Методи. Сиквенси гена als різних представників родини Злакових було отримано з бази даних NCBI: Nucleotide. Для порівняння було використано фрагмент гена іmi-2 пшениці м’якої лінії ‘TealIMI11A’ у двох ділянках сиквенсу: 367–390 та 1729–1749 нук­леотидів. Для оцінювання наявності нуклеотидних замін в робочих сиквенсах гена іmi-2 використовували інструмент “SequenceViewer 3.37.0”. Дендрограму будували з використанням інструменту ‘BlastTree’ з ресурсу NCBI: Blast: Nucleotide. Результати. Було проаналізовано нуклеотидні послідовності сімох різних видів: пшениці м’якої (TriticumaestivumL.), вівсюга звичайного (AvenafatuaL.), ячменю звичайного (HordeumvulgareL.), рису посівного (OryzasativaL.), кукурудзи (ZeamaysL.), сорго алепського (SorghumhalepensePers.) та егілопса Тауша (AegilopstauschiiCoss.). На основі порівняльного аналізу сиквенсу ділянок гена іmi-2 для 7-ми генотипів було побудовано філогенетичне дерево, яке показало, що досліджені види можна поділити на два блоки. До одного з них увійшли кукурудза та сорго алепське, а до другого – рис посівний, вівсюг звичайний, ячмінь звичайний, пшениця м’яка та егілопс Тауша. Визначення ступеня гомології між послідовністю 367–390 нуклеотиду пшениці м’якої та іншими видами показало, що абсолютною була гомологія з відповідними послідовностями рису посівного, егілопса Тауша та вісюга звичайного (100%). Найменшою нуклеотидна спорідненість виявилась для кукурудзи та сорго алепського – 83,3%. У ділянці 1729–1749 нуклеотидів гена іmi-2 жоден з 6 сиквенсів не показав 100% гомології з послідовністю пшениці м’якої. Найвищою вона була до ячменю звичайного та егілопсу Тауша – 95,2%, а найменшою для рису посівного, кукурудзи та сорго алепського – по 80,9%. Висновки. Проведений аналіз підтверджує значний ступінь гомології послідовності гена als для різних видів родини Злакових. Це дозволяє зробити припущення про можливість створення універсальної генетичної конструкції, за допомогою якої можна редагувати геном та отримувати рослини, стійкі до гербіцидів різних представників цієї родини. Зважаючи на вищий ступінь гомології послідовностей для таких видів як пшениця м’яка, егілопс Тауша, ячмінь звичайний, рис посівний та вівсюг звичайний, можна припустити, що ефективнішою відповідна генетична конструкція буде для редагування гена als саме цих генотипів.

Purpose. Provide bioinformatic analysis and comparison of target regions of the acetolactate synthase (als) gene in several members of the Poaceae family and, on the basis of the obtained data, explore the possibility of creating a unified genetic construct for als gene editing using the CRISPR-Cas9 system. Methods. The als gene sequences of various members of the Poaceae family were obtained from the NCBI: Nucleotide database. For comparison, a fragment of the imi-2 gene of wheat of the soft line ‘TealIMI11A’ was used in two regions of the 367–390 and 1729–1749 nucleotide sequences. The Sequence Viewer 3.37.0 tool was used to assess the presence of nucleotide substitutions in the working sequence of the imi-2 gene. The dendrogram was built using the “Blast Tree” tool from the NCBI: Blast: Nucleotide resource. Results. A comparative analysis of the nucleotide sequences of seven different species was carried out: soft wheat (Triticum aestivum L.), common wild oat (Avena fatua L.), barley (Hordeum vulgare L.), Asian rice (Oryza sativa L.), maize (Zea mays L.), aleppo grass (Sorghum halepense Pers.) and Tausch’s goatgrass (Aegilops tauschii Coss.). The dendrogram is based on the gene sequence als, showed that all studied genotypes can be divided into two blocks: the first block included maize and aleppo grass, and the second block, a separate branch includes Asian rice and common wild oat, barley, soft wheat and Tausch’s goatgrass. 367–390 nucleotide sequences of soft wheat showed the highest 100% homology to Asian rice, Tausch’s goatgrass and common wild oat. The lowest homo­logy was for maize and aleppo grass at 83.3%. Evaluation of the nucleotide sequence 1729–1749 showed no complete homology at the 100% level. It was the highest for barley and Tausch’s goatgrass – 95.2%, and the lowest for rice, maize and aleppo grass – 80.9% each. Conclusions. The analysis confirms a significant degree of homology of the als gene sequence for various species of the Poaceae family, which allows us to create a universal genetic vector. However, taking into account the high degree of sequence homology for species such as soft wheat, Tausch’s goatgrass, barley, Asian rice and common wild oat, it can be assumed that the corresponding genetic vector can be used with the greatest efficiency to alter the als gene of these genotypes.