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. Create a new source material of soybeans without pubescence, determine its selection value for the efficient use of processed products in animal nutrition, which will ensure high productivity of the latter. Quantitative and qualitative indicators of seeds are important economic and valuable features. The lack of pubescence on plants is unique. Methods. Field, special, laboratory and mathematical-statistical. Results. The minimum fat content of 20.88% was observed in the seeds of the non-pubescent variety ‘Kobra’, 23.73% in the line No 305, and 25.02% in the line No 22. The varieties ‘Diamant’ and ‘Antratsyt’ had a high fat content – 24.08–25.83%. The protein content in the green mass of promising lines was very low – up to 16%. The fat content was in the range of 2.1–5.3% with the maximum value in the lines No 3 and No 7 – 4.67–5.26%. The protein content in ‘Anakonda’ seeds and No 1 and No 9 lines was 36–37%, in standard varieties – at the level of 29.5–35.63%. A comparison of new non-pubescent lines with standard varieties and the most productive varieties ‘Diamant’ and ‘Adamos’, which are included in the Register of Plant Varieties of Ukraine and meet the requirements for efficient use in fodder production. Conclusions. Lack of pubescence in soybean plants is an extremely rare and atypical phenomenon. There are no such varieties in the state register of plant varieties of Ukraine. More than 50 non-pubescent lines exceed the indicators of economic suitability of national standards and modern varieties. Lines No 4, No 5, No 7, No 8, which had more than 15% protein in the green mass, should be involved in the selection process to create fodder varieties. The ‘Anakonda’ line has a nutritional value with a minimum content of linolenic acid in the oil (6.08%). Increased oleic acid content was observed in varieties ‘Adamos’ (35.01%), ‘Diamant’ (33.53%), ‘Ametyst’ (31.39%).

Purpose. Create a new source material of soybeans without pubescence, determine its selection value for the efficient use of processed products in animal nutrition, which will ensure high productivity of the latter. Quantitative and qualitative indicators of seeds are important economic and valuable features. The lack of pubescence on plants is unique.Methods. Field, special, laboratory and mathematical-statistical.Results. The minimum fat content of 20.88% was observed in the seeds of the non-pubescent variety ‘Kobra’, 23.73% in the line No 305, and 25.02% in the line No 22. The varieties ‘Diamant’ and ‘Antratsyt’ had a high fat content – 24.08–25.83%. The protein content in the green mass of promising lines was very low – up to 16%. The fat content was in the range of 2.1–5.3% with the maximum value in the lines No 3 and No 7 – 4.67–5.26%. The protein content in ‘Anakonda’ seeds and No 1 and No 9 lines was 36–37%, in standard varieties – at the level of 29.5–35.63%. A comparison of new non-pubescent lines with standard varieties and the most productive varieties ‘Diamant’ and ‘Adamos’, which are included in the Register of Plant Varieties of Ukraine and meet the requirements for efficient use in fodder production.Conclusions. Lack of pubescence in soybean plants is an extremely rare and atypical phenomenon. There are no such varieties in the state register of plant varieties of Ukraine. More than 50 non-pubescent lines exceed the indicators of economic suitability of national standards and modern varieties. Lines No 4, No 5, No 7, No 8, which had more than 15% protein in the green mass, should be involved in the selection process to create fodder varieties. The ‘Anakonda’ line has a nutritional value with a minimum content of linolenic acid in the oil (6.08%). Increased oleic acid content was observed in varieties ‘Adamos’ (35.01%), ‘Diamant’ (33.53%), ‘Ametyst’ (31.39%). | Мета. Створити новий вихідний матеріал сої без опушення, визначити його селекційну цінність для ефективного використання продуктів переробки в годівлі тварин, що забезпечить отримання високої продуктивності останніх. Важливими господарсько-цінними ознаками при цьому є кількісні та якісні показники насіння. Відсутність опушення рослин є унікальним.Методи. Польові, спеціальні, лабораторні та математично-статистичні. Результати. Мінімальний уміст жиру в насінні – 20,88% відзначено в неопушеного сорту ‘Кобра’, у ліній № 305 та № 22 – 23,73 і 25,02% відповідно. Високим умістом жиру характеризувалися сорти ‘Алмаз’ і ‘Антрацит’ – 24,08 і 25,83%. Уміст білка в зеленій масі перспективних ліній був дуже низьким – до 16%. Уміст жиру був у межах від 2,1 до 5,3% з максимальними значеннями в ліній № 3 і № 7 – 4,67 і 5,26% відповідно. Уміст білка в насінні ‘Анаконда’ та ліній № 1 і № 9 був на рівні 36–37%, у сортів-стандартів – 29,57–35,63%. Порівняно нові лінії без опушення із сортами-стандартами та найурожайнішими сортами ‘Алмаз’ і ‘Адамос’, які занесені до Державного реєстру сортів рослин України та відповідають вимогам ефективного використання в кормовиробництві.Висновки. Відсутність опушення в рослин сої – надзвичайно рідкісне й нетипове явище. У Держреєстрі такі сорти відсутні. Понад 50 неопушених ліній культури перевищують показники господарської придатності національних стандартів і сучасних сортів. У процесі створення нових сортів з підвищеним умістом жиру в насінні доцільно використовувати неопушені лінії № 305 (23,73%) і № 22 (25,02%). Для створення кормових сортів у селекційний процес слід залучати лінії № 4, № 5, № 7, № 8, які мали в зеленій масі понад 15% протеїну. Високою харчовою цінністю характеризується лінія ‘Анаконда’ з мінімальним умістом в олії ліноленової кислоти (6,08%). Підвищений уміст олеїнової кислоти відзначено в сортів ‘Адамос’ (35,01%), ‘Алмаз’ (33,53%), ‘Аметист’ (31,39%).

Purpose. Create a new source material of soybeans without pubescence, determine its selection value for the efficient use of processed products in animal nutrition, which will ensure high productivity of the latter. Quantitative and qualitative indicators of seeds are important economic and valuable features. The lack of pubescence on plants is unique. Methods. Field, special, laboratory and mathematical-statistical. Results. The minimum fat content of 20.88% was observed in the seeds of the non-pubescent variety ‘Kobra’, 23.73% in the line No 305, and 25.02% in the line No 22. The varieties ‘Diamant’ and ‘Antratsyt’ had a high fat content – 24.08–25.83%. The protein content in the green mass of promising lines was very low – up to 16%. The fat content was in the range of 2.1–5.3% with the maximum value in the lines No 3 and No 7 – 4.67–5.26%. The protein content in ‘Anakonda’ seeds and No 1 and No 9 lines was 36–37%, in standard varieties – at the level of 29.5–35.63%. A comparison of new non-pubescent lines with standard varieties and the most productive varieties ‘Diamant’ and ‘Adamos’, which are included in the Register of Plant Varieties of Ukraine and meet the requirements for efficient use in fodder production. Conclusions. Lack of pubescence in soybean plants is an extremely rare and atypical phenomenon. There are no such varieties in the state register of plant varieties of Ukraine. More than 50 non-pubescent lines exceed the indicators of economic suitability of national standards and modern varieties. Lines No 4, No 5, No 7, No 8, which had more than 15% protein in the green mass, should be involved in the selection process to create fodder varieties. The ‘Anakonda’ line has a nutritional value with a minimum content of linolenic acid in the oil (6.08%). Increased oleic acid content was observed in varieties ‘Adamos’ (35.01%), ‘Diamant’ (33.53%), ‘Ametyst’ (31.39%).

The article concerns directions of valuable protein crops using, soybeans, growth rates of its production throughout the world in recent years, the opportunity and the necessity of making this crop strategic in our country, problems and prospects of the high-grade soybeans resources formation, the full characteristic of new soybean varieties listed in the State register of Plant Varieties suitable for distribution in Ukraine in 2013.

The article concerns directions of valuable protein crops using, soybeans, growth rates of its production throughout the world in recent years, the opportunity and the necessity of making this crop strategic in our country, problems and prospects of the high-grade soybeans resources formation, the full characteristic of new soybean varieties listed in the State register of Plant Varieties suitable for distribution in Ukraine in 2013.

Analysis of oilseeds in Ukraine, including sunflower, soybean, winter and spring rape, mustard, linseed, sesame, spring false flax, safflower. Presented research-based elements of the technology of cultivation. Described seed of oilseeds. Named most promising varieties of these crops. Disclosed their productive and qualitative potential. The above varietal structure of oilseeds in the State Register of plant varieties suitable for dissemination in Ukraine for years. In order to ensure stable population of oil and food, which include oil, and for the implementation of programs related to soil fertility, scientifically grounded recommended area of oilseeds in Ukraine for 2013–2015 years, ha.

The article highlights current problems of cutting lettuce seed production for all its variants. Research background is provided to the composition of material expenditures for growing of every variant in particular. Economical efficiency of seed production in line with varietal certification requirements has been reproved.

Purpose. Reveal the features of the formation of a quali­ty indicator complex in winter bread wheat depending on the growing seasons, preceding crops and sowing dates, as well as differentiate and identify genotypes with high and stable levels of manifestation. Methods. Field, laboratory, statistical. Results. A different share of the influence of the year conditions, the preceding crop, the sowing date and their interactions on the quality indicators of some varie­ties was determined. A different reaction of varieties in terms of quality indicators, depending on the investigated factors was revealed. The variation was very low for test weight, water absorption ability of flour, crumb porosity. Strong variation was observed for flour strength after sunflower and soybean as preceding crops, alveograph configuration ratio after sunflower and soybean, index of elasticity dough after corn, valorimetric value after mustard, dough dilution degree after green manure, sunflower, corn and especially after mustard and soybeans. The varieties, which on average for 2016/17–2018/19 reliably exceeded the standard both in individual indicators and in general in terms of physical indicators of grain and flour quality and dough rheological properties. GYT biplot analysis identified the genotypes ‘MIP Vidznaka’ and ‘MIP Assol’ with a more optimal combination of increased yield and a complex of quality indicators in terms of different years, preceding crops and sowing dates. Some varieties, namely, ‘Estafeta myronivs’ka’, ‘Trudiv­nytsia myronivs’ka’, ‘MIP Valensiia’, ‘MIP Yuvileina’, ‘Balada myronivs’ka’, ‘Vezha myronivs’ka’ were inferior to them, but were significantly superior the others. Conclusions. The selected by quality indicators varieties as genetic sources can be used in breeding process. A more stable level of yield and quality indicators at different sowing dates after different preceding crops should be expected for growing varieties ‘MIP Vidznaka’, ‘MIP Assol’, as well as ‘Estafeta myronivs’ka’, ‘Trudivnytsia myronivs’ka’, ‘MIP Valensiia’, ‘MIP Yuvileina’, ‘Balada myronivs’ka’, ‘Vezha myronivs’ka’. The peculiarities obtained in the research should be taken into account when evaluating and differentiating genotypes in breeding process, as well as developing basic elements of technology for growing the varieties of winter bread wheat.

Purpose. Reveal the features of the formation of a quali­ty indicator complex in winter bread wheat depending on the growing seasons, preceding crops and sowing dates, as well as differentiate and identify genotypes with high and stable levels of manifestation. Methods. Field, laboratory, statistical. Results. A different share of the influence of the year conditions, the preceding crop, the sowing date and their interactions on the quality indicators of some varie­ties was determined. A different reaction of varieties in terms of quality indicators, depending on the investigated factors was revealed. The variation was very low for test weight, water absorption ability of flour, crumb porosity. Strong variation was observed for flour strength after sunflower and soybean as preceding crops, alveograph configuration ratio after sunflower and soybean, index of elasticity dough after corn, valorimetric value after mustard, dough dilution degree after green manure, sunflower, corn and especially after mustard and soybeans. The varieties, which on average for 2016/17–2018/19 reliably exceeded the standard both in individual indicators and in general in terms of physical indicators of grain and flour quality and dough rheological properties. GYT biplot analysis identified the genotypes ‘MIP Vidznaka’ and ‘MIP Assol’ with a more optimal combination of increased yield and a complex of quality indicators in terms of different years, preceding crops and sowing dates. Some varieties, namely, ‘Estafeta myronivs’ka’, ‘Trudiv­nytsia myronivs’ka’, ‘MIP Valensiia’, ‘MIP Yuvileina’, ‘Balada myronivs’ka’, ‘Vezha myronivs’ka’ were inferior to them, but were significantly superior the others. Conclusions. The selected by quality indicators varieties as genetic sources can be used in breeding process. A more stable level of yield and quality indicators at different sowing dates after different preceding crops should be expected for growing varieties ‘MIP Vidznaka’, ‘MIP Assol’, as well as ‘Estafeta myronivs’ka’, ‘Trudivnytsia myronivs’ka’, ‘MIP Valensiia’, ‘MIP Yuvileina’, ‘Balada myronivs’ka’, ‘Vezha myronivs’ka’. The peculiarities obtained in the research should be taken into account when evaluating and differentiating genotypes in breeding process, as well as developing basic elements of technology for growing the varieties of winter bread wheat.

The article displays economical value, as well as directions of use for valuable protein crop, soybean, as well as growth rate of its production during recent years in the world scale and in our country, establishment of its varietal resources in Ukraine. Complete description for new soybean varieties listed in the State Register of Plant Varieties Suitable for Dissemination in Ukraine is provided for those having Official Description.

The article displays economical value, as well as directions of use for valuable protein crop, soybean, as well as growth rate of its production during recent years in the world scale and in our country, establishment of its varietal resources in Ukraine. Complete description for new soybean varieties listed in the State Register of Plant Varieties Suitable for Dissemination in Ukraine is provided for those having Official Description.

It’s been shown the ways user impotent nucleotide plant of soybean, agriculture growing in the world last years. Revealed main point of formation nationality plant varieties resource of soybean.

Вивчено генетичну колекцію клонових підщеп кісточкових форм на предмет укорінення за метамерністю розміщення живців та термінах їх заготівлі, продуктивності маточних дерев,  зимостійкості кореневої системи, слаборослості.

Purpose. To determine the efficiency of growing soybean varieties ‘Ustia’, ‘Cordoba’, ‘Estafeta’ depending on the influence of microfertilizers and growth regulators. Methods. Field, laboratory. Results. The article presents the results of studying the efficiency of growing different varieties of soybeans. It was found that in the cultivar ‘Ustia’ the best values of assimilation of photosynthetically active radiation were obtained for the applications of Yara Vita Mono Molitrak in the budding phase (0.25 l/ha) with growth regulator Radostym, and Yara Vita Mono Molitrak in the budding phase (0.25 l/ha) + in the flowering phase (0.25 l/ha) with two studied growth regulators. Similar patterns of the utilization rate of photosynthetic radiation were obtained for the ‘Cordoba’ and ‘Estafeta’ varieties. According to the indicators of the energy balance, the complex use of micronutrient fertilizers and growth regulators in any case pays off with an increase in the yield, which means it is energetically expedient. The maximum coefficients of energy efficiency in the ‘Ustia’, ‘Cordoba’ and ‘Estafeta’ varieties were obtained with the introduction of micronutrient fertilizers Yara Vita Mono Molitrak in the budding phase (0.25 l/ha) + in the flowering phase (0.25 l/ha) and growth regulators Biosyl and Radostym. However, the use of growth regulators separately does not always provide an economic return on investment. In particular, in the variant without Yara Vita Mono Molitrak microfertilizer, the ‘Cordoba’ variety received 28 873 UAH/ha of net profit, while the introduction of growth regulators did not pay off, since there was no significant increase in the yield, and with the use of growth regulators Biosyl and Radostym net profit was within 28824–29179 UAH/ha. In general, the use of micronutrient fertilizer Yara Vita Mono Molitrak with growth regulators Radostim and Biosyl ensu­red guaranteed yield increase. Conclusions. When gro­wing ‘Ustia’, ‘Cordoba’ and ‘Estafeta’ varieties from an energy point of view, it is better to use Yara Vita Mono Molitrak microfertilizer in the budding phase (0.25 l/ha) with the growth regulator Radostym. Under these conditions, the obtained energy efficiency ratio was 3.24; 3.41 and 3.45, and the profit was 31503, 34072 and 34649 UAH/ha, respectively

The trend for development and spreading of diseases and pests of blackcurrant at Orel region in the conditions of extreme drought in 2010 has been detected. Abnormal weather conditions of the summer and the lack of precipitation limited both growth of host plant and disease spreading. At the background of extreme conditions of 2010 the crop phenophases shifted to earlier dates. The awakening of wintering pathogen structures began in the classic dates of the spring, although in summer their biological cycle went off rapidly. Due to the lack of moisture the disease pathogens failed to fully realize their potential of development and spreading. A favorable aspect of the extreme conditions of vegetation period, the reducing of the protective measures against diseases, is to be admitted. Abnormal weather conditions accelerated the pathogen biological cycles and reduced the stock of wintering infection; meanwhile they provoked colonization of the plants by pests. In extremely high air temperature and lasting lack of precipitation the pests number was intensively increasing, exceeding the maliciousness threshold. Due to the above some additional insecticide and acaricide treatments of berry crops were applied. Thus, the vegetation period of 2010 was described as most favorable for the development and spreading of pests and less favorable for disease pathogens.

Purpose. To study the protein content and other economically valuable traits in soybean varieties of various origin, to determine the stability and plasticity indicators of these traits, as well as to identify varieties that are promising for use in breeding programs. Methods. Field, laboratory, biochemical and statistical. Results. In total 22 soybean varieties of various origin in terms of yield, protein and oil content in seeds were investigated. High-yield and high-plasticity varieties are distinguished: ‘Muza’, ‘Mentor’, ‘Asuka’, ‘Valas’, ‘Kofu’, ‘Asuka’, ‘Cardif’, ‘Alligator’, ‘Vyshyvanka’, ‘Suziria’ and varieties of domestic breeding with stable yield ‘Siverka’, ‘Vilshanka’, ‘Ustia’, and also the ‘Lisbon’ variety. High protein content was noted in the variety ‘Opus’ – 45.0% in 2017. This variety on average for three years showed 43.63% of the protein in the seeds, and was second after the ‘Ustia’ variety (44.3%). The highest value of the regression coefficient b = 4.289 was observed in the ‘Lisbon’ varie­ty, which shows its high sensitivity to growing conditions with a fairly low average seed protein content of 38.60%, as well as the variety ‘Silesia’ b = 4.289 with an average protein value of 42,73%. Standard variety ‘Muza’ with a low protein content of 38.60% was quite stable in the expression of this characteristic – S2 = 0.222. A number of high-oil varieties were distinguished: ‘Valas’ – 22.77%, ‘Sigalia’ – 22.7%, ‘Alligator’, ‘Siverka’ – 22.53%, ‘Kofu’ – 22.13%, standard variety ‘Muza’ – 21.77%. Conclusions. In breeding programs aimed at increasing the protein content in seeds, the following varieties should be used: ‘Opus’ – as a carrier of the maximum value of the trait, as well as ‘Ustia’, ‘Asuka’, ‘Silesia’ and ‘Kasidi’ as combining high yield and high protein content. The weather conditions of the year in different ways influenced on the manifestation of the studied traits: in a favorable year for obtaining high yields, the protein content in the seeds decreased, the high protein content accumulated in a drier year, and the oil content in seeds changed insignificantly.

Мета. Вивчити сорти сої різного походження за вмістом білка та іншими господарськими ознаками, визначити показники стабільності та пластичності цих ознак, а також виділити сорти, перспективні для використання у селекційних програмах.Методи. Польові, лабораторні, біохімічні та статистичні.Результати. Досліджено 22 сорти сої за врожайністю, вмістом білка та олії в насінні. Виділено пластичні сорти, що мають високу врожайність: ‘Муза’, ‘Ментор’, ‘Асука’, ‘Валас’, ‘Кофу’, ‘Кардіф’, ‘Алігатор’, ‘Вишиванка’, ‘Сузір’я’ та стабільні за врожайністю сорти вітчизняної селекції ‘Сіверка’, ‘Вільшанка’, ‘Устя’, а також сорт ‘Лісабон’. Найвищий уміст білка відмічено у сорту ‘Опус’ – 45,0% у 2017 році. Цей сорт у середньому за три роки показав 43,63% білка в насінні і поступався тільки сорту ‘Устя’ (44,3%). Проте значно вище значення коефіцієнта регресії b = 4,289  у сорту ‘Лісабон’ показало його високу чутливість до умов вирощування при досить низькому середньому значенні вмісту білка в насінні (38,60%), як і сорт ‘Сілесія‘ (b = 4,289) при середньому значенні білковості – 42,73%.  Сорт-стандарт ‘Муза’ при низькій білковості 38,60% був досить стабільним за проявом цієї ознаки – S2 = 0,222.  Виділено низку сортів з високим вмістом олії в насінні: ‘Валас’ – 22,77%, ‘Сігалія’ – 22,7%, ‘Алігатор’,  ‘Сіверка’ – 22,53%, ‘Кофу’ – 22,13%, сорт-стандарт ‘Муза’ – 21,77%.Висновки. У селекційних програмах, спрямованих на підвищення вмісту білка в насінні, слід використовувати  сорти: ‘Опус’ – як носій максимального значення ознаки, ‘Устя’, ‘Асука’, ‘Сілесія’ та ‘Касіді’ – як високоврожайні з високим умістом білка. Погодні умови року неоднаково впливали на прояв  досліджуваних ознак: у сприятливий для отримання високих урожаїв рік вміст білка в насінні знижувався, у посушливіший рік уміст білка був вищим, а вміст олії в насінні змінювався незначно. | Цель. Изучить сорта сои различного происхождения по содержанию белка и других хозяйственно ценных признаках, определить показатели стабильности и пластичности этих признаков, а также выделить сорта, перспективные для использования в селекционных программах.Методы. Полевые, лабораторные, биохимические и статистические.Результаты. Исследовано 22 сорта сои различного происхождения по урожайности, содержанию белка и масла в семенах. Выделено высокоурожайные высокопластичные сорта: ‘Муза’, ‘Ментор’, ‘Асука’, ‘Валас’, ‘Кофу’, ‘Кардиф’, ‘Аллигатор’, ‘Вышиванка’, ‘Сузирья’ и стабильные по урожайности сорта отечественной селекции ‘Сиверка’, ‘Вильшанка’, ‘Устя’, а также сорт ‘Лиссабон’. Высокое содержание белка отмечено у сорта ‘Опус’ – 45,0% в 2017 году. Этот сорт в среднем за три года показал 43,63% белка в семенах и уступал только сорту ‘Устя’ (44,3%). Однако высокое значение коэффициента регрессии b = 4,289 у сорта ‘Лиссабон’ показало его высокую чувствительность к условиям выращивания при достаточно низком среднем значении содержания белка в семенах (38,60%), как и сорт ‘Силесия’ (b = 4,289) при среднем значении белковости – 42,73%. Сорт-стандарт ‘Муза’ при низкой белковости 38,60% был достаточно стабильным по проявлению этого признака – S2 = 0,222. Выделен ряд высокомасличных сортов: ‘Валас’ – 22,77%, ‘Сигалия’ – 22,7%, ‘Аллигатор’, ‘Сиверка’ – 22,53%, ‘Кофу’ – 22,13%, сорт-стандарт ‘Муза’ – 21,77%.Выводы. В селекционных программах, направленных на повышение содержания белка в семенах, следует использовать сорта: ‘Опус’ – как носитель максимального значения признака, а также ‘Устя’, ‘Асука’, ‘Силесия’ и ‘Касиди’ – как объединяющие высокую урожайность и высокое содержание белка. Погодные условия года по-разному влияли на проявление изучаемых признаков: в благоприятном для получения высоких урожаев году содержание белка в семенах снижалось, высокое содержание белка было в более засушливом году, а содержание масла в семенах менялось в незначительной степени | Purpose. To study the protein content and other economically valuable traits in soybean varieties of various origin, to determine the stability and plasticity indicators of these traits, as well as to identify varieties that are promising for use in breeding programs. Methods. Field, laboratory, biochemical and statistical. Results. In total 22 soybean varieties of various origin in terms of yield, protein and oil content in seeds were investigated. High-yield and high-plasticity varieties are distinguished: ‘Muza’, ‘Mentor’, ‘Asuka’, ‘Valas’, ‘Kofu’, ‘Asuka’, ‘Cardif’, ‘Alligator’, ‘Vyshyvanka’, ‘Suziria’ and varieties of domestic breeding with stable yield ‘Siverka’, ‘Vilshanka’, ‘Ustia’, and also the ‘Lisbon’ variety. High protein content was noted in the variety ‘Opus’ – 45.0% in 2017. This variety on average for three years showed 43.63% of the protein in the seeds, and was second after the ‘Ustia’ variety (44.3%). The highest value of the regression coefficient b = 4.289 was observed in the ‘Lisbon’ varie­ty, which shows its high sensitivity to growing conditions with a fairly low average seed protein content of 38.60%, as well as the variety ‘Silesia’ b = 4.289 with an average protein value of 42,73%. Standard variety ‘Muza’ with a low protein content of 38.60% was quite stable in the expression of this characteristic – S2 = 0.222. A number of high-oil varieties were distinguished: ‘Valas’ – 22.77%, ‘Sigalia’ – 22.7%, ‘Alligator’, ‘Siverka’ – 22.53%, ‘Kofu’ – 22.13%, standard variety ‘Muza’ – 21.77%. Conclusions. In breeding programs aimed at increasing the protein content in seeds, the following varieties should be used: ‘Opus’ – as a carrier of the maximum value of the trait, as well as ‘Ustia’, ‘Asuka’, ‘Silesia’ and ‘Kasidi’ as combining high yield and high protein content. The weather conditions of the year in different ways influenced on the manifestation of the studied traits: in a favorable year for obtaining high yields, the protein content in the seeds decreased, the high protein content accumulated in a drier year, and the oil content in seeds changed insignificantly.

Purpose. To study the protein content and other economically valuable traits in soybean varieties of various origin, to determine the stability and plasticity indicators of these traits, as well as to identify varieties that are promising for use in breeding programs. Methods. Field, laboratory, biochemical and statistical. Results. In total 22 soybean varieties of various origin in terms of yield, protein and oil content in seeds were investigated. High-yield and high-plasticity varieties are distinguished: ‘Muza’, ‘Mentor’, ‘Asuka’, ‘Valas’, ‘Kofu’, ‘Asuka’, ‘Cardif’, ‘Alligator’, ‘Vyshyvanka’, ‘Suziria’ and varieties of domestic breeding with stable yield ‘Siverka’, ‘Vilshanka’, ‘Ustia’, and also the ‘Lisbon’ variety. High protein content was noted in the variety ‘Opus’ – 45.0% in 2017. This variety on average for three years showed 43.63% of the protein in the seeds, and was second after the ‘Ustia’ variety (44.3%). The highest value of the regression coefficient b = 4.289 was observed in the ‘Lisbon’ varie­ty, which shows its high sensitivity to growing conditions with a fairly low average seed protein content of 38.60%, as well as the variety ‘Silesia’ b = 4.289 with an average protein value of 42,73%. Standard variety ‘Muza’ with a low protein content of 38.60% was quite stable in the expression of this characteristic – S2 = 0.222. A number of high-oil varieties were distinguished: ‘Valas’ – 22.77%, ‘Sigalia’ – 22.7%, ‘Alligator’, ‘Siverka’ – 22.53%, ‘Kofu’ – 22.13%, standard variety ‘Muza’ – 21.77%. Conclusions. In breeding programs aimed at increasing the protein content in seeds, the following varieties should be used: ‘Opus’ – as a carrier of the maximum value of the trait, as well as ‘Ustia’, ‘Asuka’, ‘Silesia’ and ‘Kasidi’ as combining high yield and high protein content. The weather conditions of the year in different ways influenced on the manifestation of the studied traits: in a favorable year for obtaining high yields, the protein content in the seeds decreased, the high protein content accumulated in a drier year, and the oil content in seeds changed insignificantly.

Purpose. To study biological characteristics of growth and development of middle-early soybean varieties and create a model of phenotype productivity. Methods. Special and gene­ral techniques for studies. Results. Optimal productivity of plants is forming merely at the expense of efficient ratio of all the elements of their structure. It often happens that in case of underdevelopment of one of the structure components yield to some extent can be offset by better development of other elements. Eight indicators were defined which make the largest contribution to the productivity trait of a variety: seed weight per plant, total number of branches, number of nodes per plant, number of pods per plant, number of seeds per plant, number of flowers, plant height, 1000 kernel weight. The first four indicators provided most of the total contribution to a trait of seed weight per plant. Model building was based on hierarchy of productivity traits display in ontogenesis and compliance of their development in organogenesis. The model consists of two modules of traits – resulting and some componental showing phenotypic realization of the genetic formula. It was found that the plant height significantly influence the number of nodes per plant (r = 0,76), and the number of pods per plant (r = 0,43) depends on this trait. In addition, correlation based on the research was obtained between the number of flowers per plant and plant height (r = 0,35), and number of nodes (r = 0,76). It was established that the number of flowers per plant determines the development of pods on the plant so it is quite strongly correlated with this trait (r = 0,99). Conclusions. It was determined that the number of pods per plant and the number of seeds per plant have a very strong correlation (r = 0,96). Besides, such trait as the number of seeds per plant has a strong relationship with the seed weight per plant (r = 0,79).

Purpose. To study biological characteristics of growth and development of middle-early soybean varieties and create a model of phenotype productivity. Methods. Special and gene­ral techniques for studies. Results. Optimal productivity of plants is forming merely at the expense of efficient ratio of all the elements of their structure. It often happens that in case of underdevelopment of one of the structure components yield to some extent can be offset by better development of other elements. Eight indicators were defined which make the largest contribution to the productivity trait of a variety: seed weight per plant, total number of branches, number of nodes per plant, number of pods per plant, number of seeds per plant, number of flowers, plant height, 1000 kernel weight. The first four indicators provided most of the total contribution to a trait of seed weight per plant. Model building was based on hierarchy of productivity traits display in ontogenesis and compliance of their development in organogenesis. The model consists of two modules of traits – resulting and some componental showing phenotypic realization of the genetic formula. It was found that the plant height significantly influence the number of nodes per plant (r = 0,76), and the number of pods per plant (r = 0,43) depends on this trait. In addition, correlation based on the research was obtained between the number of flowers per plant and plant height (r = 0,35), and number of nodes (r = 0,76). It was established that the number of flowers per plant determines the development of pods on the plant so it is quite strongly correlated with this trait (r = 0,99). Conclusions. It was determined that the number of pods per plant and the number of seeds per plant have a very strong correlation (r = 0,96). Besides, such trait as the number of seeds per plant has a strong relationship with the seed weight per plant (r = 0,79).