Purpose. To study the stability and plasticity of spring rapeseed varieties, in order to assess their adaptability potential in the Steppe, Forest-Steppe and Polissia zones, and also select the most ecologically plastic varieties among them. Methods. Field, laboratory, analytical and statistical. Results. Seven varieties of spring rapeseed, included in the State Register of Plant Varieties suitable for dissemination in Ukraine, were studied on indicators of plasticity and stability of yield traits, weight of 1000 seeds, protein and oil content. The highly plastic intensive varieties ‘DK 7150 CL’, ‘DK 7160 CL’ and ‘Sunder’ were selected for yield among the studied varieties, which are able to respond appropriately to changing of growing conditions. Varieties ‘DK 7150 CL’ and ‘DK 7160 CL’ belong to intensive varieties for the parameter of weight of 1000 seeds. The variety ‘Sunder’ was also highly plastic for this parameter. The varieties ‘Axana’, ‘Bilder’ and ‘CLICK CL’, according to their protein content, belong to the intensive type varieties that are capable of combining sufficiently high valu­es of the studied parameter with its stability under changing conditions. Variety ‘DK 7150 CL’, which was low-plastic, has a rather low positive value of the average group deviation of the reaction stability coefficient, therefore, it can be attributed to widely adapted genotypes. Varieties ‘DK 7160 CL’, ‘DK 7175 CL’ and ‘Sander’ belong to highly plastic intensive varieties in oil content. Varieties ‘DK 7175 CL’, ‘Builder’ and ‘CLICK CL’ are showed high stability for yield, varieties ‘Axana’, ‘Sunder’ and ‘CLICK CL’ for weight of 1000 seeds. The varie­ties ‘DK 7160 CL’, ‘DK 7175 CL’, ‘DK 7150 CL’ and ‘Sunder’ were highly stable in protein content, in oil content – varieties ‘DK 7150 CL’, ‘Axana’, ‘Builder’ and ‘CLICK CL’. Conclusions. It were established that high-intensity varieties for yield and weight of 1000 seeds in the Steppe, Forest-Steppe and Polissia zones are ‘DC 7160 CL’ and ‘DK 7150 CL’, for protein content – varieties ‘Axana’, ‘Builder’ and ‘CLICK CL’, for oil content – varieties ‘DK 7160 CL’, ‘DK 7175 CL’ and ‘Sunder’. The evaluation of the plasticity and stability of rapeseed varieties, which were included in the State register of plant varieties suitable for dissemination in Ukraine, makes it possible to select varieties that belong to the intensive type. According to the research results, varieties which are able to successfully adapt to the limiting environmental factors and stress in various soil and climatic zones have been selected.

This contribution is based on the six presentations given at the Special Interest Group meeting on Mathematical modelling of fungal growth and function held during IMC9. The topics covered aspects of fungal growth ranging across several orders of magnitude of spatial and temporal scales from the biomechanics of spore ejection, vesicle trafficking and hyphal tip growth to the form and function of mycelial networks. Each contribution demonstrated an interdisciplinary approach to questions at specific scales. Collectively, they represented a significant advance in the multi-scale understanding offungal biology.

Purpose. To study the effect of different sowing periods, seed sowing rates onto morphological and crop capacity indicators of oilseeds flax of Ukrainian varieties: ‘Orfei’, ‘Svito­zir’ and ‘Vodohrai’. Methods. The research was conducted in 2018–2019 in the branch of Ukrainian institute of plant varieties expertise in Khmelnytsky oblast state centre of plant varieties expertise, village Trebukhivtsi, Letychiv region, Khmelnytsky oblast. The following factors are studied: sowing period (15, 20, 25 April); seed sowing rates in million items per hectare (4, 6, 8); varieties of oilseed flax from The Institute of oilseed plants of National Academy of Agricultural Sciences of Ukraine: ‘Orfei’, ‘Svitozir’ and ‘Vodo­hrai’. Embedding experiments, material estimation, plants, harvest and seeds analysis are done in accordance with the “The method for the qualification examination of plant varieties for suitability for distribution in Ukraine”. Results. The credible difference between the variants according to the rate of sowing the seed and the terms of so­wing was defined. The estimation of the oilseed flax varieties according to the morphological and harvesting indicators was done. The variety of oilseed flaxseed ‘Svitlozar’ demonstrated higher harvest rate and morphological indicators in a so­wing period of 20–25 April and the sowing rate 6 and 8 million seed per1 hectare. It was also revealed, that regardless of a variety, the sowing rate of 6 million seeds per one hec­tare is the best of all. A better number of capsules, the seeds in the capsules and the weight of the seeds in the plant was formed by the variety ‘Svitlozir’ compared to the varieties ‘Orfei’ and ‘Vodohrai’. With early sowing period, the smal­-lest values of morphological and yield indices were observed in the varieties of flaxseed, irrespective of the variety and norms of seeding. Conclusions. For more full realization of the genetic potential of the varieties of oilseed flax according to the morphological and harvest indicators in the conditions of Western Forest-Steppe the sawing rate must be 8 million seeds per one hectare, and the sawing period of 20–25 April. The variety ‘Svitlozir’ is characterized by its higher crop capacity and morphological indicators

Мета. Вивчити вплив різних строків сівби, норм висіву насіння на морфологічні та врожайні параметри сортів льону олійного Linum humile Mill. селекції Інституту олійних культур НААН України ‘Орфей’, ‘Світозір’ і ‘Водограй’.Методи. Дослідження проводили упродовж 2018–2019 рр. у філії Українського інституту експертизи сортів рослин – Хмельницькому обласному державному центрі експертизи сортів рослин, с. Требухівці Летичівського району Хмельницької області. Вивчали такі фактори: строк сівби (15, 20, 25 квітня); норму висіву насіння в млн шт./га (4,0; 6,0; 8,0); сорти льону олійного ‘Орфей’, ‘Світлозір’, ‘Водограй’. Закладання дослідів, оцінювання матеріалу, аналіз рослин, урожаю та якості насіння здійснювали відповідно до Методики проведення кваліфікаційної експертизи сортів рослин групи технічних і кормових на придатність до поширення в Україні.Результати. Встановили достовірну різницю між варіантами за нормою висіву насіння і строками сівби. Сорти льону олійного оцінили за морфологічними і врожайними показниками залежно від досліджуваних факторів. Вищу врожайність і кращі морфологічні показники за роки досліджень спостерігали у сорту льону олійного ‘Світлозір’ за строків сівби 20 та 25 квітня і норми висіву насіння 6,0 і 8,0 млн насінин на гектар. У всіх сортів кращою за усіма варіантами була норма висіву насіння 8,0 млн шт./га. Більшу кількість коробочок, кількість насінин у коробочці і масу насіння з однієї рослини формував сорт льону олійного ‘Світлозір’ порівняно із сортами ‘Орфей’ і ‘Водограй’ за вищезгаданих факторів. За раннього строку сівби незалежно від сорту і норми висіву насіння спостерігали найменші величини морфологічних і врожайних показників у рослин льону олійного.Висновки. Для повнішої реалізації генетичного потенціалу сортів льону олійного за врожайними і морфологічними показниками в умовах Лісостепу Західного норма висіву насіння повинна бути 6,0 і 8,0 млн шт./га за строків сівби 20 і 25 квітня. Вищою врожайністю і покращеними морфологічними показниками характеризувався сорт льону ‘Світлозір’. | Цель. Изучить влияние различных сроков посева, норм высева семян на морфологические и урожайные параметры сортов льна масличного Linum humile Mill. селекции Института масличных культур НААН Украины ‘Орфей’, ‘Світозір’ и ‘Водограй’.Методы. Исследования проводились на протяжении 2018–2019 гг. в филиале Украинского института экспертизы сортов растений  – Хмельницком областном государственном центре экспертизы сортов растений, с. Требуховцы Летичевского района Хмельницкой области. Изучали следующие факторы: срок посева (15, 20, 25 апреля); норму высева семян млн шт./га (4,0; 6,0; 8,0); сорта льна масличного ‘Орфей’, ‘Світлозір’, ‘Водограй’. Закладка опытов, оценка материала, анализ растений, урожая и качества семян проведены в соответствии с Методикой проведения квалификационной экспертизы сортов растений на пригодность к распространению в Украине.Результаты. Установили достоверную разницу между вариантами по норме высева семян и срокам посева. Сорта льна масличного оценили по морфологическим и урожайным показателям в зависимости от исследуемых факторов. Высшую урожайность и лучшие морфологические показатели за годы исследований наблюдали у сор­та льна масличного ‘Світлозір’ при сроке посева 20 и 25 апреля и норме высева семян 6,0 и 8,0 млн семян на гектар. Независимо от сорта лучшей по всем вариантам была норма высева семян 6,0 и 8,0 млн шт./га. Большее количество коробочек, количество семян в коробочке и массу семян с одного растения формировал сорт льна масличного ‘Світлозір’ по сравнению с сортами ‘Орфей’ и ‘Водограй’ за вышеупомянутыми факторами. При раннем сроке посева независимо от сорта и нормы высева наблюдали наименьшую величину морфологических и урожайных показателей у растений льна масличного.Выводы. Для более полной реализации генетического потенциала сортов льна масличного по морфологическим и урожайным показателям в условиях Лесостепи Западной норма высева семян должна составлять 6,0 и 8,0 млн шт./га при сроках посева 20 и 25 апреля. Высшей урожайностью и улучшенными морфологическими показателями характеризовался сорт льна ‘Світлозір’ | Purpose. To study the effect of different sowing periods, seed sowing rates onto morphological and crop capacity indicators of oilseeds flax of Ukrainian varieties: ‘Orfei’, ‘Svito­zir’ and ‘Vodohrai’. Methods. The research was conducted in 2018–2019 in the branch of Ukrainian institute of plant varieties expertise in Khmelnytsky oblast state centre of plant varieties expertise, village Trebukhivtsi, Letychiv region, Khmelnytsky oblast. The following factors are studied: sowing period (15, 20, 25 April); seed sowing rates in million items per hectare (4, 6, 8); varieties of oilseed flax from The Institute of oilseed plants of National Academy of Agricultural Sciences of Ukraine: ‘Orfei’, ‘Svitozir’ and ‘Vodo­hrai’. Embedding experiments, material estimation, plants, harvest and seeds analysis are done in accordance with the “The method for the qualification examination of plant varieties for suitability for distribution in Ukraine”. Results. The credible difference between the variants according to the rate of sowing the seed and the terms of so­wing was defined. The estimation of the oilseed flax varieties according to the morphological and harvesting indicators was done. The variety of oilseed flaxseed ‘Svitlozar’ demonstrated higher harvest rate and morphological indicators in a so­wing period of 20–25 April and the sowing rate 6 and 8 million seed per1 hectare. It was also revealed, that regardless of a variety, the sowing rate of 6 million seeds per one hec­tare is the best of all. A better number of capsules, the seeds in the capsules and the weight of the seeds in the plant was formed by the variety ‘Svitlozir’ compared to the varieties ‘Orfei’ and ‘Vodohrai’. With early sowing period, the smal­-lest values of morphological and yield indices were observed in the varieties of flaxseed, irrespective of the variety and norms of seeding.Conclusions. For more full realization of the genetic potential of the varieties of oilseed flax according to the morphological and harvest indicators in the conditions of Western Forest-Steppe the sawing rate must be 8 million seeds per one hectare, and the sawing period of 20–25 April. The variety ‘Svitlozir’ is characterized by its higher crop capacity and morphological indicators

Purpose. To substantiate the features of the classification of morphobiological and economically valuable indicators of highbush blueberry varieties of Vaccinium corymbosum L. Methods. The studies were carried out during 2012–2019. Research methods: field (visual examination of the manifestation of morphological signs of vegetative and generative organs of blueberry plants), laboratory (determination of the content of vitamin C, total sugar, pectin, carotenes, anthocyanins, flavonoids, total acidity in berries), analytical, comparative, statistical (cluster analysis). Results. Over the years of research, varieties of highbush blueberries were characterized by a stable manifestation of homogeneous morphological traits and economically valuable performance indicators. In particular, the studied varieties are classified according to ripeness groups: very early: ‘Fiolent’; early: ‘Draper’, ‘Huron’, ‘Clockwork’, ‘Cargo’, ‘Laska’; medium: ‘Blue Ribbon’, ‘Top shelf’, ‘ZF08-070’, ‘Mavka’; late: ‘Liberti’, ‘Last Call’ and very late: ‘Aurora’, ‘Overtime’. It was determined that the quantitative morphological traits of highbush blueberry varieties that influenced the formation of plant productivity include such traits as growth vigor, leaf length, leaf width, inflorescences lengthwise, bunch density, fruit size. Economically valuable indicators of suitability of highbush blueberry varieties remained stable within the ripeness group. The highest yield (19.5 t/ha) was provided by the mid-season variety ‘Mavka’ of domestic selection. The yield of berries from the bush of this variety was also high and amounted to 7 kg. The studied performance indicators were low in the variety ‘Blue Ribbon’ – 10.2 t/ha and 2.4 kg, respectively. The minimum and maximum values of the manifestation of characteristics will serve to establish the limiting boundaries of its variation in the next modeling of economically valuable indicators of highbush blueberry varieties. Conclusions. Such morphobiological characteristics of highbush blueberry varieties, as plant growth vigor, leaf length, leaf width, inflorescences lengthwise, bunch density, fruit size are closely related to plant productivity, berry yield per bush, berry weight and yield. Therefore, they can be involved in the development and improvement of the model of suitability indicators of highbush blueberries for distribution in Ukraine.

Mucorales are basal fungi that opportunistically cause a potentially fatal infection known as mucormycosis (black fungus disease), which poses a significant threat to human health due to its high mortality rate and its recent association with SARS-CoV-2 infections. On the other hand, histone methylation is a regulatory mechanism with pleiotropic effects, including the virulence of several pathogenic fungi. However, the role of epigenetic changes at the histone level never has been studied in Mucorales. Here, we dissected the functional role of Set1, a histone methyltransferase that catalyzes the methylation of H3K4, which is associated with the activation of gene transcription and virulence. A comparative analysis of the Mucor lusitanicus genome (previously known as Mucor circinelloides f. lusitanicus) identified only one homolog of Set1 from Candida albicans and Saccharomyces cerevisiae that contains the typical SET domain. Knockout strains in the gene set1 lacked H3K4 monomethylation, dimethylation, and trimethylation enzymatic activities. These strains also showed a significant reduction in vegetative growth and sporulation. Additionally, set1 null strains were more sensitive to SDS, EMS, and UV light, indicating severe impairment in the repair process of the cell wall and DNA lesions and a correlation between Set1 and these processes. During pathogen-host interactions, strains lacking the set1 gene exhibited shortened polar growth within the phagosome and attenuated virulence both in vitro and in vivo. Our findings suggest that the histone methyltransferase Set1 coordinates several cell processes related to the pathogenesis of M. lusitanicus and may be an important target for future therapeutic strategies against mucormycosis.

Purpose. Analysis of the allelic state of Ppd-1 genes, which control sensitivity to photoperiod, in varieties and lines of bread winter wheat, and comparison of the results obtained with field observations on the duration of periods before heading and flowering, whose originators were the Nosivska Breeding and Research Station of the V. M. Remeslo Myronivka Institute of Wheat National Academy of Agrarian Sciences of Ukraine and Poltava State Agrarian Academy of the Ministry of Education and Science of Ukraine. Methods. The following methods were used in the work: DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, analysis of variance. Results. It was revealed that ‘Yuvivata 60’ variety has a recessive Ppd-1 genotype and belongs to the III haplotype by a combination of mutations in the structure of Ppd-D1 gene. Line ‘L41/95’ was heterogeneous by alleles of Ppd-D1 gene, which corresponded to the presence of haplotypes III and VII. All other tested cultivars and lines were characterized by alleles Ppd-A1b, Ppd-B1b and Ppd-D1a, and assigned to haplotype VII. According to the results of statistical data processing, the duration of the period from May, 1 to heading was the smallest for the variety ‘Donskaya polukarlikovaya’ in the conditions of both the Forest-Steppe and Polissia-Forest-Steppe regions of Ukraine, the longest – in the varieties ‘Yuvivata 60’, ‘Myronivska 61’ and ‘L41/95’. The differences between these groups were significant and amounted to 10 days. Conclusions. A breeding material with a high adaptive ability for growing conditions in Polissia-Forest-Steppe zone was studied by the allelic state of the Ppd-1 genes. A low level of polymorphism in the studied varieties and lines was revealed by the alleles of Ppd-1 genes [12.5% – Ppd-D1b (²²²), 12.5% – Ppd-D1à/b (²²²/VII), 75% – Ppd-D1a (VII)], that agrees with the hypothesis that breeders gave a greater preference for the photoperiod-insensitive wheat genotype under Ukrainian conditions. The genotypes with the dominant Ppd-D1a (VII) gene almost completely dominate in the south of Ukraine. At the same time, in northern latitudes, weather conditions negate the advantages of the genotypes with Ppd-D1a gene

Purpose. Analysis of the allelic state of Ppd-1 genes, which control sensitivity to photoperiod, in varieties and lines of bread winter wheat, and comparison of the results obtained with field observations on the duration of periods before heading and flowering, whose originators were the Nosivska Breeding and Research Station of the V. M. Remeslo Myronivka Institute of Wheat National Academy of Agrarian Sciences of Ukraine and Poltava State Agrarian Academy of the Ministry of Education and Science of Ukraine.Methods. The following methods were used in the work: DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, analysis of variance.Results. It was revealed that ‘Yuvivata 60’ variety has a recessive Ppd-1 genotype and belongs to the III haplotype by a combination of mutations in the structure of Ppd-D1 gene. Line ‘L41/95’ was heterogeneous by alleles of Ppd-D1 gene, which corresponded to the presence of haplotypes III and VII. All other tested cultivars and lines were characterized by alleles Ppd-A1b, Ppd-B1b and Ppd-D1a, and assigned to haplotype VII. According to the results of statistical data processing, the duration of the period from May, 1 to heading was the smallest for the variety ‘Donskaya polukarlikovaya’ in the conditions of both the Forest-Steppe and Polissia-Forest-Steppe regions of Ukraine, the longest – in the varieties ‘Yuvivata 60’, ‘Myronivska 61’ and ‘L41/95’. The differences between these groups were significant and amounted to 10 days.Conclusions. A breeding material with a high adaptive ability for growing conditions in Polissia-Forest-Steppe zone was studied by the allelic state of the Ppd-1 genes. A low level of polymorphism in the studied varieties and lines was revealed by the alleles of Ppd-1 genes [12.5% – Ppd-D1b (²²²), 12.5% – Ppd-D1à/b (²²²/VII), 75% – Ppd-D1a (VII)], that agrees with the hypothesis that breeders gave a greater preference for the photoperiod-insensitive wheat genotype under Ukrainian conditions. The genotypes with the dominant Ppd-D1a (VII) gene almost completely dominate in the south of Ukraine. At the same time, in northern latitudes, weather conditions negate the advantages of the genotypes with Ppd-D1a gene | Мета. Визначення алельного стану генів Ppd-1, що контролюють чутливість до фотоперіоду, у сортів та ліній пшениці м’якої озимої Носівської селекційно-дослідної станції Миронівського інституту пшениці ім. В. М. Ремесла НААН (НСДС МІП) і Полтавської державної аграрної академії МОН України (ПДАА), та зіставлення отриманих результатів молекулярно-генетичного аналізу з даними польових спостережень щодо строків колосіння та цвітіння.Методи. Виділення ДНК, алель-специфічна ПЛР, електрофорез фрагментів ампліфікації в агарозних та полі­акриаламідних гелях, дисперсійний аналіз.Результати. Визначено, що сорт ‘Ювівата 60’ має рецесивний генотип Ppd-1 та належить до ІІІ гаплотипу за комбінацією мутацій у структурі Ppd-D1 гена. Лінія ‘Л41/95’ виявилася гетерогенною за алелями гена Ppd-D1, що відповідало наявності гаплотипів III і VII. Усі інші досліджені зразки характеризувалися алелями Ppd-A1b, Ppd-B1b та Ppd-D1а та належали до гаплотипу VII. За результатами статистичної обробки даних тривалість періоду від першого травня до колосіння була найменшою в сорту ‘Донская полукарликовая’ в умовах як Лісостепу, так і Полісся–Лісостепу Ук­раїни, найбільшою – у сортів ‘Ювівата 60’, ‘Миронівська 61’ та лінії ‘Л41/95’. Відмінності між зазначеними групами були достовірними й становили приблизно 10 діб.Висновки. За алельним станом генів Ppd-1 досліджено селекційний матеріал з високою адаптивною здатністю для умов вирощування в перехідній зоні Полісся–Лісостеп. За алелями генів Ppd-1 досліджені сорти та лінії виявили невисокий рівень поліморфізму [12,5% – Ppd-D1b (ІІІ), 12,5% – Ppd-D1а/b (ІІІ/VII), 75% – Ppd-D1a (VII)], що узгоджується з гіпо­тезою надання селекціонерами більшої переваги слабкочутливим до фотоперіоду генотипам пшениці в умовах України. Генотипи з домінантним алелем Ppd-D1a (VII) в умовах Півдня України практично повністю домінують. Водночас у північніших широтах погодні умови нівелюють переваги, що мають генотипи з Ppd-D1a.

Purpose. Analysis of the allelic state of Ppd-1 genes, which control sensitivity to photoperiod, in varieties and lines of bread winter wheat, and comparison of the results obtained with field observations on the duration of periods before heading and flowering, whose originators were the Nosivska Breeding and Research Station of the V. M. Remeslo Myronivka Institute of Wheat National Academy of Agrarian Sciences of Ukraine and Poltava State Agrarian Academy of the Ministry of Education and Science of Ukraine. Methods. The following methods were used in the work: DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, analysis of variance. Results. It was revealed that ‘Yuvivata 60’ variety has a recessive Ppd-1 genotype and belongs to the III haplotype by a combination of mutations in the structure of Ppd-D1 gene. Line ‘L41/95’ was heterogeneous by alleles of Ppd-D1 gene, which corresponded to the presence of haplotypes III and VII. All other tested cultivars and lines were characterized by alleles Ppd-A1b, Ppd-B1b and Ppd-D1a, and assigned to haplotype VII. According to the results of statistical data processing, the duration of the period from May, 1 to heading was the smallest for the variety ‘Donskaya polukarlikovaya’ in the conditions of both the Forest-Steppe and Polissia-Forest-Steppe regions of Ukraine, the longest – in the varieties ‘Yuvivata 60’, ‘Myronivska 61’ and ‘L41/95’. The differences between these groups were significant and amounted to 10 days. Conclusions. A breeding material with a high adaptive ability for growing conditions in Polissia-Forest-Steppe zone was studied by the allelic state of the Ppd-1 genes. A low level of polymorphism in the studied varieties and lines was revealed by the alleles of Ppd-1 genes [12.5% – Ppd-D1b (²²²), 12.5% – Ppd-D1à/b (²²²/VII), 75% – Ppd-D1a (VII)], that agrees with the hypothesis that breeders gave a greater preference for the photoperiod-insensitive wheat genotype under Ukrainian conditions. The genotypes with the dominant Ppd-D1a (VII) gene almost completely dominate in the south of Ukraine. At the same time, in northern latitudes, weather conditions negate the advantages of the genotypes with Ppd-D1a gene

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%.

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 (<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.

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.

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.

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.

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%.

Purpose. Develop a simplified method for estimating the color of flour and pasta using Adobe Photo Shop® software. Methods. The research material was grain of varieties and selection lines of wheat species Triticum durum, T. dicoccum, T. timopheevii bred in the Рlant Production Institute nd. a. V. Ya. Yuryev and samples of the National Center for Genetic Resources of Plants of Ukraine, 2018–2020 harvest. Batch of flour and pieces of dough were scanned using EPSON Scanner 010 F. Color was evaluated using Adobe PhotoShop®. The level of carotenoids was determined by spectrophotometric method. Results. Visual assessments of flour and pasta color, presented by different researchers, differ significantly (up to 2–3 points on a 9-point scale). At the same time, the use of the developed method of express color evaluation of flour and pasta samples in Adobe PhotoShop® with the color evaluation system L*a*b*, used in modern reflectometers, allows to obtain data in numerical value and provides high accuracy. In the case of the developed me­thod, correlations were established between the content of carotenoids and the index b* of flour (r = 0.41 / ≤ 0.05) and pasta (r = 0.60 / p ≤ 0.001) and allowed to select the best in flour color selection lines 10-56, 10-65, 14-153, sample T. durum var. falcatomelanopus, in pasta color – lines 10-56, 10-65, 11-29, 12-3. Conclusions. The developed method provides high accuracy and can be used to evaluate the color of pasta and wheat flour, simplifies the evaluation of test samples, standardizes the parameters of agricultural products and avoids subjective judgment. The established weak correlation between the carotenoid content and the b* value of flour indicates the effect on the color of flour not only orange but also yellow and red pigments, and the ave­rage correlation between the carotenoid content and the b* value of pasta indicates the influence of the products of polyphenols oxidation reactions of wheat grain. The best in color flour and pasta lines were selected for breeding work to increase the content of carotenoid pigments in grain.

Purpose. Develop a simplified method for estimating the color of flour and pasta using Adobe Photo Shop® software. Methods. The research material was grain of varieties and selection lines of wheat species Triticum durum, T. dicoccum, T. timopheevii bred in the Рlant Production Institute nd. a. V. Ya. Yuryev and samples of the National Center for Genetic Resources of Plants of Ukraine, 2018–2020 harvest. Batch of flour and pieces of dough were scanned using EPSON Scanner 010 F. Color was evaluated using Adobe PhotoShop®. The level of carotenoids was determined by spectrophotometric method. Results. Visual assessments of flour and pasta color, presented by different researchers, differ significantly (up to 2–3 points on a 9-point scale). At the same time, the use of the developed method of express color evaluation of flour and pasta samples in Adobe PhotoShop® with the color evaluation system L*a*b*, used in modern reflectometers, allows to obtain data in numerical value and provides high accuracy. In the case of the developed me­thod, correlations were established between the content of carotenoids and the index b* of flour (r = 0.41 / ≤ 0.05) and pasta (r = 0.60 / p ≤ 0.001) and allowed to select the best in flour color selection lines 10-56, 10-65, 14-153, sample T. durum var. falcatomelanopus, in pasta color – lines 10-56, 10-65, 11-29, 12-3. Conclusions. The developed method provides high accuracy and can be used to evaluate the color of pasta and wheat flour, simplifies the evaluation of test samples, standardizes the parameters of agricultural products and avoids subjective judgment. The established weak correlation between the carotenoid content and the b* value of flour indicates the effect on the color of flour not only orange but also yellow and red pigments, and the ave­rage correlation between the carotenoid content and the b* value of pasta indicates the influence of the products of polyphenols oxidation reactions of wheat grain. The best in color flour and pasta lines were selected for breeding work to increase the content of carotenoid pigments in grain.

Purpose. Evaluate the introduced samples of soft winter wheat from the international nursery Common Bunt-Resistant Nursery (CBUNT-RES) of different ecological and geographical origin in the southern part of the Forest-Steppe zone of Ukraine according to a set of productivity indicators in order to define the most valuable samples and describe them. Methods. During 2016–2019 on the base of Ustymivka Experimental Station for Plant Production of the V. Ya. Yuriev Plant Production Institute of NAAS the authors studied, evaluated and described 75 new soft winter wheat samples of various eco-geographical origins by productivity traits. In the field and laboratory conditions, indicators of yield and productivi­ty were determined: 1000 grains weight, plant height and ear length, the number of spikelets and grains in the ear, weight of ear and grain and early-ripening. Results. Plant material with increased parameters of economic and biological characters was identified. During studies, it was found that ‘F08347G8’, ‘F00628G34-1’ (Romania), ‘91-142A61/KATIA1//GRISET-4’, ‘SAULESKU#44/TR810200//GRISET-4’, ‘ATTILA/BABAX//PASTOR/4/…’ (IU067591) (Turkey), ‘INTENSIVNAYA//PBW343*2/TUKURU’, ‘SANZAR-8/KKTS’ (Mexico) were the high-yielding varieties. The samples of soft winter wheat as ‘F08347G8’, ‘F00628G34-1’ (Romania), ‘INTENSIVNAYA//PBW343*2/…’ (IU067637) (Mexico), ‘ATAY/GALVEZ87/6/TAST/…’ (IU067587), ‘DE9/MERCAN-2’, ‘KRASNODAR/FRTL/6…’ (IU067595), ‘SAULESKU#44/TR810200//GRISET-4’, ‘GANSU-1/3/AUSGS50AT34/…’ (IU067598), ‘ORKINOS-1*2/3/AUS…’ (IU067608), ‘KAMBARA1/ZANDER-17’ , ‘TAM200/KAUZ/4/CHAM6//…’ (IU067612) (Turkey) contained a large grain weight (more than 5.0 g), plant productivity in these samples was rather high due to increased amount of grains and the thousand kernel weight. Conclusions. The introduced soft winter wheat samples of various eco-geographical origins were adapted to the Southern Forest-Steppe and can be recommended as a source material in breeding to increasing productive capacity.

Purpose. To identify spring durum wheat accessions with high yield level and by yield components for their involvement in breeding programs as a source material. Methods. Field, statistical. Results. The results of the study of 65 collection samples of spring durum wheat of various ecological and geographical origin in terms of productivity in 2016–2018 are presented. The research results indicate that the samples of spring durum wheat had different yield level depending on the conditions of the year of cultivation. According to the calculations of the degree of yield stability parameters, the samples were found that ensure its level under fluctuations in weather conditions with regression coefficient close to one as follows ‘Omskiy izumrud’ (RUS), ‘Korona’, ‘Toma’, ‘Nauryz 6’ (KAZ), ‘Dura king’, ‘Candura’ (CAN), ‘Tera’, ‘Novatsiia’ (UKR), thus indicating their semi-intensive type. Collection samples of spring durum wheat that under optimal weather conditions are capable of producing significant yield increase are distinguished by wide ecological reaction. These are samples with regression coefficient more than one ‘MIP Raiduzhna’, ‘Hordeiforme 13-07’ (UKR), ‘Lan’, ‘Salaut’, ‘Ertol’ (KAZ), ‘Bezenchukskaya 205’, ‘Lilek’ (RUS). These samples can be characterized by their adaptive properties as intense ones, with a pronounced response to the environment. Over the years of the research, grain number per spike varied from 35.9 to 38.8 pcs. Year conditions in 2016 were the most favorable for plant growth and development, while index of conditions was 4.1, and the average grain number per spike was 41.4 pcs. Year conditions in 2017 and 2018 were less favorable for growth and development of durum spring wheat, and therefore there was a negative value of index of year conditions (lj = -5.1 and lj = 0.5, respectively) with less grain number per spike (32.2 and 38.2 pcs., respectively). According to the trait «1000 kernel weight», the samples were identified with regression coefficient close to one under fluctuations of weather conditions, i.e ‘Korona’, ‘Raya’ (KAZ), ‘Lilek’, ‘Bezenchukskaya 205’ (RUS), ‘MIP Raiduzhna’ (UKR). The grain weight per spike in the collection samples varied from 1.27 to 1.77 g. The stable samples ‘Ertol’, ‘Salaut’, ‘Damsinskaya yantarnaya’ (KAZ), ‘Lilek’ (RUS), ‘Novatsiia’ (UKR), ‘Duraking’, ‘Candura’ (CAN) promising in spring wheat breeding were identified and can be involved in hybridization. Conclusions. Stable and plastic samples were identified among collection material of spring durum wheat in terms of productivity for involvement in scientific programs as source material.

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.

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.

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. To analyze the divergence of early maturing source material of corn Zea mays L. in heterosis breeding for the genetic base formation at the State Institution the Institute of Grain Crops of the NAAS of Ukraine. Methods. Field (comprehensive assessment of morphobiological and economically valuable characteristics of the source material and maize hybrids) individual selection, cumulative and recurrent selection, backross and testcrosses bree­ding methods; laboratory; analysis and synthesis; statistical. Results. The results of research on the analysis of the divergence of early maturing corn source material in the conditions of the Steppe of Ukraine has become a developed harmonized working collection of corn breeding samples adapted to the stressful conditions of this region. The gradual cyclical improvement of the lines made it possible to form the core of the genetic diversity of FAO 150–290 early maturing specimens of the southern ecotype, which are competitive in heterosis breeding. The complexity of breeding for early maturity in the steppe conditions is due to the lack of material adapted to the stress factors of the South of Ukraine. The available early maturing lines of the world collection F2, F7, Ер1, Ма21, Ма23, Со125, Со255, См7, PLS61, S72, etc., were distinguished by high cold resistance, good starting plant development, intensive accumulation of dry matter during ripening, but not adapted to the deficiency of moisture in the soil and high summer temperatures. According to the results of the experiment, it was revealed that, in terms of breeding, lines of Lancaster plasma (DK427 and DK633) were the most plastic, due to which a number of new mid-early lines were obtained, for example DK2/427, DK267, DK266/417, DK633/266, DK296, etc., which were included in the registered hybrids. Formation of the genetic base of early maturing maize source material for heterosis breeding and systematization accor­ding to different breeding characteristics provided a balance of samples of alternative components, which will be further used to model heterosis hybrids in the early maturing group. Conclusions. The updated basic collection of lines is represented by the samples of plasma Iodent: DK744SVZM, DK216SVZM, DK4173SVZM, DK235zS, DK257zM, SV, DK365SVZM, DK777ZMSV, DK733-7zM,SV, DK315SVZM; Lancaster: DK296zS,VM, DK633/266zS,VM, DK2965ZSZM, DK2953 ZSZM, DK3023 ZSZM, DK236zS,ZM; Raid (SSS): DK232MV, DK2323MV, DK239MV; Mixed: DK253ZSZM, DK273MV, DK272zS, DK281SV, DK233zM,SV, DK959MV, DK9527 ZSZM, DK247MV, DK2442MV, which is the basis of the genetic diversity of early ripening corn samples included in the State register of plant varie­ties suitable for dissemination in Ukraine.

Мета. На основі всебічного дослідження особливостей росту, розвитку, плодоношення та якості плодів рослин спонтанних мутантів яблуні (Malus domestica Borkh.) сорту ‘Jonagold’ виділити такі, що відрізняються від вихідного сорту за силою росту дерев та переважають за врожайністю, товарними якостями, лежкістю плодів та економічною ефективністю виробництва останніх.                    Методи. Польовий, лабораторний, порівняння, узагальнення та математичної статистики. Результати. Подано результати вивчення особливостей росту та плодоношення 20 українських спонтанних клонів сорту ‘Jonagold’ в умовах Західного Лісостепу України. Встановлено, що рослини досліджуваних клонів за строками початку і тривалістю основних фенологічних фаз і вегетаційного періоду не відрізнялись від більшості поширених і добре адаптованих до умов Поділля сортів яблуні. Знімальна стиглість плодів у клонів наставала у другій‑третій декадах вересня, з різницею у сім діб. Дерева більшості клонів (ДП‑4, ДП‑5, ДП‑9, ДП‑10, ДП‑13, ДП‑14 і ДП‑17) були середньорослими. Урожайність п’яти-восьмирічних насаджень клонів становить 12,1–32,3 т/га, що забезпечує економічно ефективне культивування в умовах Поділля, рівень рентабельності виробництва становить 66–242%. Усі спонтанні мутанти формують плоди більші за середній розмір (крім ДП‑20, великі), красиві, ошатні, які, залежно від клону, різняться за інтенсивністю та характером покривного забарвлення. Клони ДП‑1, ДП‑3, ДП‑17, ДП‑18 і ДП‑19 відзначались найбільшим виходом яблук вищого та першого ґатунку і за цією властивістю значно перевищили контрольний сорт. Випробовувані клони поділено на три групи за строками достигання плодів: ранньозимові, зимові, пізньозимові. Висновки. Багаторічне оцінювання об’єктів дослідження дозволило встановити, що біологічні властивості рослин українських клонів сорту ‘Jonagold’ відповідають кліматичним умовам Західного Лісостепу України. За силою росту дерев більшість із них належать до групи середньорослих (ДП‑4, ДП‑5, ДП‑9, ДП‑10, ДП‑13, ДП‑14 і ДП‑17) і характеризуються мішаним типом плодоношення. Клони ДП‑1, ДП‑3, ДП‑17, ДП‑18 і ДП‑19 виділяються високим виходом плодів вищого та першого ґатунку. За основними показниками якості плодів кращими визнано клони ДП‑3, ДП‑8, ДП‑13, ДП‑14, ДП‑16, ДП‑17, ДП‑18 і ДП‑20; найвищу економічну ефективність виробництва яблук на Поділлі забезпечують клони ДП‑14, ДП‑17, ДП‑18 і ДП‑19. Останні рекомендовано для реєстрації у Державному реєстрі сортів рослин, як перспективні для впровадження у насадження з виробництва плодів універсального призначення у зоні Західного Лісостепу України.

Purpose of this study was to develop the main components of a model of an adaptive information system for predicting crop productivity. Methods. To conduct research on the establishment of the basic structural elements of an adaptive information model for predicting the productivity of basic crops used the method of constructing dynamic models. Results. A detailed analysis of conceptual approaches to the construction of mathematical agricultural models is carried out and the main advantages and disadvantages of modern analogues are established. It is determined that the adaptive information model is based solely on the needs of the plant and actually on the need to provide these needs with available resources in order to obtain consistently high yields with high quality indicators. The hardware and software complex must have a feedback relationship between its basic structural elements, because it significantly improves the accuracy of predicting plant productivity. Data based on the operation of certain mechanisms or indicators of weather conditions and their forecasts are used for decision making, however, if they are substantially changed, decisions about individual technology elements are reviewed. The software should be related to the economic part and should take into account market conditions and forecast data when making recommendations. In the case of low purchase prices for products, we recommend that certain agrotechnical operations (say vegetation feeding) be applied or not, in the case of significant change in growing conditions - when the application of these agro-measures will be ineffective due to the negative effects of drought, etc. Conclusions. Adaptive information system for forecasting productivity in the technological process of growing crops is formed on the basis of a model consisting of three modules of characteristics – the resultant and two components. At each subsequent stage of implementation of the model, the resulting feature becomes component, with the maximum contribution to the resulting feature of the next module.

Purpose of this study was to develop the main components of a model of an adaptive information system for predicting crop productivity. Methods. To conduct research on the establishment of the basic structural elements of an adaptive information model for predicting the productivity of basic crops used the method of constructing dynamic models. Results. A detailed analysis of conceptual approaches to the construction of mathematical agricultural models is carried out and the main advantages and disadvantages of modern analogues are established. It is determined that the adaptive information model is based solely on the needs of the plant and actually on the need to provide these needs with available resources in order to obtain consistently high yields with high quality indicators. The hardware and software complex must have a feedback relationship between its basic structural elements, because it significantly improves the accuracy of predicting plant productivity. Data based on the operation of certain mechanisms or indicators of weather conditions and their forecasts are used for decision making, however, if they are substantially changed, decisions about individual technology elements are reviewed. The software should be related to the economic part and should take into account market conditions and forecast data when making recommendations. In the case of low purchase prices for products, we recommend that certain agrotechnical operations (say vegetation feeding) be applied or not, in the case of significant change in growing conditions - when the application of these agro-measures will be ineffective due to the negative effects of drought, etc. Conclusions. Adaptive information system for forecasting productivity in the technological process of growing crops is formed on the basis of a model consisting of three modules of characteristics – the resultant and two components. At each subsequent stage of implementation of the model, the resulting feature becomes component, with the maximum contribution to the resulting feature of the next module.

Целью данного исследования была разработка основных компонентов модели адаптивной информационной системы прогнозирования продуктивности сельскохозяйственных культур. Методы. Для проведения исследований по установлению основных структурных элементов адаптивной информационной модели прогнозирования продуктивности основных сельскохозяйственных культур использовали метод построения динамических моделей. Результаты. Проведен детальный анализ концептуальных подходов к построению математических сельскохозяйственных моделей и установлены основные преимущества и недостатки современных аналогов. Определено, что адаптивная информационная модель базируется исключительно на потребностях растения и собственно необходимость обеспечить эти потребности доступными ресурсами с целью получения стабильно высокой урожайности с хорошими показателями качества. Программно-аппаратный комплекс должен иметь обратную связь между его основными структурными элементами, ведь за счет этого значительно повышается точность прогнозирования продуктивности растений. Данные полученные на основе работы определенных механизмов или показатели погодных условий и их прогнозы используются для принятия решений, однако, в случае их существенного изменения решение об отдельных элементах технологии пересматриваются. Программный продукт должен быть связан с экономической частью и при создании рекомендаций учитывать конъюнктуру рынка и прогнозные данные. В случае низкой закупочной цены на продукцию рекомендовать применять или не применять определенные агротехнические операции (скажем удобрение по вегетации), кроме того, корректировать их в случае существенного изменения условий выращивания – когда применение этих элементов технологии будет неэффективно за счет негативного воздействия других факторов. Выводы. Адаптивная информационная система прогнозирования продуктивности в технологическом процессе выращивания сельскохозяйственных культур формируется на базе модели состоящей из трех модулей признаков – результирующей и двух компонентных. На каждом следующем этапе реализации модели результирующий признак становится компонентным, причем с максимальным вкладом в результирующий признак следующего модуля. | Purpose of this study was to develop the main components of a model of an adaptive information system for predicting crop productivity. Methods. To conduct research on the establishment of the basic structural elements of an adaptive information model for predicting the productivity of basic crops used the method of constructing dynamic models. Results. A detailed analysis of conceptual approaches to the construction of mathematical agricultural models is carried out and the main advantages and disadvantages of modern analogues are established. It is determined that the adaptive information model is based solely on the needs of the plant and actually on the need to provide these needs with available resources in order to obtain consistently high yields with high quality indicators. The hardware and software complex must have a feedback relationship between its basic structural elements, because it significantly improves the accuracy of predicting plant productivity. Data based on the operation of certain mechanisms or indicators of weather conditions and their forecasts are used for decision making, however, if they are substantially changed, decisions about individual technology elements are reviewed. The software should be related to the economic part and should take into account market conditions and forecast data when making recommendations. In the case of low purchase prices for products, we recommend that certain agrotechnical operations (say vegetation feeding) be applied or not, in the case of significant change in growing conditions - when the application of these agro-measures will be ineffective due to the negative effects of drought, etc. Conclusions. Adaptive information system for forecasting productivity in the technological process of growing crops is formed on the basis of a model consisting of three modules of characteristics – the resultant and two components. At each subsequent stage of implementation of the model, the resulting feature becomes component, with the maximum contribution to the resulting feature of the next module. | Целью данного исследования была разработка основных компонентов модели адаптивной информационной системы прогнозирования продуктивности сельскохозяйственных культур.Методы. Для проведения исследований по установлению основных структурных элементов адаптивной информационной модели прогнозирования продуктивности основных сельскохозяйственных культур использовали метод построения динамических моделей.Результаты. Проведен детальный анализ концептуальных подходов к построению математических сельскохозяйственных моделей и установлены основные преимущества и недостатки современных аналогов. Определено, что адаптивная информационная модель базируется исключительно на потребностях растения и собственно необходимость обеспечить эти потребности доступными ресурсами с целью получения стабильно высокой урожайности с хорошими показателями качества. Программно-аппаратный комплекс должен иметь обратную связь между его основными структурными элементами, ведь за счет этого значительно повышается точность прогнозирования продуктивности растений. Данные полученные на основе работы определенных механизмов или показатели погодных условий и их прогнозы используются для принятия решений, однако, в случае их существенного изменения решение об отдельных элементах технологии пересматриваются. Программный продукт должен быть связан с экономической частью и при создании рекомендаций учитывать конъюнктуру рынка и прогнозные данные. В случае низкой закупочной цены на продукцию рекомендовать применять или не применять определенные агротехнические операции (скажем удобрение по вегетации), кроме того, корректировать их в случае существенного изменения условий выращивания – когда  применение этих элементов технологии будет неэффективно за счет негативного воздействия других факторов.Выводы. Адаптивная информационная система прогнозирования продуктивности в технологическом процессе выращивания сельскохозяйственных культур формируется на базе модели состоящей из трех модулей признаков – результирующей и двух компонентных. На каждом следующем этапе реализации модели результирующий признак становится компонентным, причем с максимальным вкладом в результирующий признак следующего модуля.