The reaction of early-ripening potato varieties to the planting rate in the Middle Urals

The article presents the yield of early potato varieties, considering the different planting rates of tubers. A two-factor field experiment was conducted in 2013 - 2015 at the experimental field of the Perm State Agro-Technological University named after Academician. The purpose of the research is to find ways to cultivate early-ripening potato varieties to obtain a yield of 35 t/ha. The soils of the experimental site are sod-finely podzolic medium loamy. The humus content is 1.9 - 3.2%, pH (KCl) 4.4-5.1, P2O5 185-300 mg/kg, K2O 143-431 mg/kg. The meteorological conditions of the growing seasons were opposite in terms of weather conditions and did not equally affect the yield. It was found that, on average, over three years, the goal of the experiment was achieved only in one variant of the experiment - in the Rosalind variety with a maximum thickening of 71.4 thousand tubers per hectare. The limit of thickening in the Red Scarlett variety was at the maximum thickening of tubers when planting 71.4 thousand. The limit of thickening of the Luck variety was 47.6 thousand tubers, the limit of compaction of plantings in the Rosalind variety was 57.1 thousand tubers. Keywords: POTATO, VARIETY, YIELD, PLANTING RATE

The use of microbiological fertilizers in planting early potatoes in the Belgorod region

Экологически безопасная продукция пользуется большим спросом. Для ее получения можно использовать микробиологические удобрения. Использование микробиологических удобрений способствует снижению негативных последствий изменения климата и повышает устойчивость растений картофеля к стрессовым факторам. Цель работы: изучить микробиологическое удобрение Славол, обладающее широким спектром действия, на ранних сортах картофеля и выявить его влияние на продуктивность этой культуры. Славол содержит в своем составе шесть компонентов микроорганизмов (Derxia spp., Azotobacter chroococcum, Azotobacter vinelandi, Bacillus subtilis, Bacillus licheniformis, Bacillus megaterium). Работа была выполнена в 2020–2021 годах на участке научно-производственной лаборатории по изучению систем земледелия ФГБОУ ВО Белгородский ГАУ. Почва опытного участка – чернозем выщелоченный, среднемощный, среднесуглинистый на лессовидном суглинке. В опытах были использованы следующие сорта: Удача, Брянский деликатес, Ред Скарлетт, Жуковский ранний, Метеор, Ривьера. Варианты опыта: 1) контроль и 2) применение микробиологического удобрения Славол, которое включало обработку клубней перед посадкой (10 мл/л воды, замачивание на 3–4 часа) и в период ухода дважды в виде некорневой подкормки (10 мл/10 л воды, расход рабочего раствора – 1,5 л/10 м2), первая обработка – через 10–15 дней после всходов, вторая – в период бутонизации. Повторность опытов трехкратная. Варианты в опыте были размещены рендомизированным методом. Площадь одной опытной делянки – 25 м2. Схема посадки – 70×35 см. Установлено, что микробиологическое удобрение Славол обладает широким спектром действия и влияет на рост и развитие растений: повысилось количество стеблей (в среднем по сортам на 32,6%), увеличилась высота растений (на 10,8%) и общая площадь листового аппарата (на 32,9%). В посадках картофеля на 72,2% снизилось развитие альтернариоза. Комплексное влияние препарата сказа Environmentally friendly products are in great demand. Microbiological fertilizers can be used to obtain it. The use of microbiological fertilizers helps to reduce the negative effects of climate change and increases the resistance of potato plants to stress factors. The purpose of the work: to study the microbiological fertilizer Slavol, which has a wide spectrum of action, on early potato varieties, and to identify its effect on the productivity of this crop. Slavol contains six components of microorganisms (Derxia spp., Azotobacter chroococcum, Azotobacter vinelandi, Bacillus subtilis, Bacillus licheniformis, Bacillus megaterium). The work was carried out in 2020–2021 at the site of the scientific and production laboratory for the study of agricultural systems of the Belgorod State Agrarian University. The soil of the experimental site is leached chernozem, medium-thick, medium-loamy on loess-like loam. The following varieties were used in the experiments: Udacha, Bryansk delikates, Red Scarlett, Zhukovsky ranniy, Meteor, Riviera. Experience options: 1) control and 2) the use of microbiological fertilizer Slavol, which included the treatment of tubers before planting (10 ml/l of water, soaking for 3–4 hours) and during the care period twice in the form of foliar top dressing (10 ml/10 l of water, the consumption of the working solution of 1.5 l/10 m2) the first treatment 10–15 days after germination, the second – during budding. The repetition of experiments is threefold. The variants in the experiment were placed by a randomized method. The area of one experimental plot is 25 m2. The planting scheme is 70×35 cm. It is established that the microbiological fertilizer Slavol has a wide spectrum of action and affects the growth and development of plants: the number of stems has increased (on average for varieties by 32.6%), the height of plants has increased (by 10.8%) and the total area of the leaf apparatus (by 32.9%). In potato plantings, the development of alternariosis decreased by 72.2%. The complex effect of the drug affected the yield of early potato varieties, which increased by an average of 12.3% in the Belgorod region.

The influence of agrotechnical methods on the formation of the harvest of potatoes of the early variety

The article presents the results of research on agrotechnical methods of growing potatoes of the early Meteor variety in the conditions of the Non-Chernozem zone. To obtain products in the early stages, the following were used: covering materials of various density and light transmission (white and black) 17 g-m-2 and 30 g-m-2, germination of tubers, the influence of the fraction of the planting material on the formation of the crop. The Moscow region is characterized by extreme weather conditions in the early spring period, which often leads to a delay in the development and formation of the harvest of early potato production. For the implementation of research tasks, an early potato variety “Meteor” for table use was used - with good taste and recommended for obtaining ultra-early products. The variety has a high declared yield, resistance to diseases widespread in research conditions. The aim of the research was to obtain an increase in yields without the use of growth stimulants and chemical fertilizers, which is important for the modern buyer. According to the research results, we noted the effect of the covering material in combination with the germination of tubers on the early emergence of seedlings and a long growing season before the first and second harvesting. The maximum difference in yield was noted at 15.07 in relation to the control in variants with a covering material of 17 g-m-2 and 30 g-m -2 in combination with germination, as well as in the variant: tubers of a large fraction in combination with germination that amounted to 27 … 25%. The average increase for the first harvest was noted in variants with a covering material without germination of tubers that amounted to 8 … 11% in relation to the control. When cleaning, the gap between control and options decreased by 2 … 3% compared to the first harvest, and the total yield increased by 5 … 8% in all variants of the experiment in relation to the first harvest.

Application of a dynamic model for regulating the hydrothermal regime in early potato cultivation in the Volgograd region

The article presents the results of research on the dynamics of development and water consumption of early potatoes, obtained from field observations in a multi-factor experiment, which formed the basis of the initial database of water adaptive regulation, temperature and food regimes based on simulation. The dynamic simulation model “POTATO” developed on this basis is aimed at displaying the processes of phenological development of potatoes and predicting crop yields during irrigation and fertigation. The model provides a forecast of the timing of the early potato development phenological phases, its yield depending on specific soil and weather conditions, as well as irrigation modes (sprinkling, drip and combined ones) and the level of mineral nutrition. The forecast of the dynamics of the culture phenological development allows to adjust the schedule of reclamation measures to regulate water and temperature regimes, taking into account current and forecast meteorological information. The simulation model allows to perform operational management of the hydrothermal and food regime of the agrocoenosis in order to obtain the planned yields. The developed method of regulating the hydrothermal regime based on the “POTATO” simulation model makes it possible to implement operational irrigation management and choose the optimal and cost-effective irrigation strategy.

The Impact of Cultivation Management and Weed Control Systems of Very Early Potato on Weed Infestation, Biodiversity, and Health Safety of Tubers

The aim of the research was to determine the impact of potato cultivation management and weeding systems on weed infestation and to evaluate the possibility of using biomarkers to assess consumer exposure to herbicide residues in potato tubers. The experiment was carried out in 2016–2018 in Central-Eastern Poland. The subject of research was the very early variety Lord. The experiment was established using the randomized block method in a split-plot design. The first order factor was cultivation management: (A) traditional and (B) under polyethylene sheeting (PE-sheeting) put “on flat”. The second-order factors were weed control systems: (a) mechanical (b) to (d)-chemical. The study determined the degree of damage to crops and weeds, fresh and dry weight of weeds, their number and floristic composition, and herbicide residues in tubers and in the soil. The fresh and dry mass of weeds was most effectively limited by mechanical and chemical treatment with the use of a preparation containing linuron. Managing potato cultivation with PE-sheeting and soil herbicides has proven to be safe for very early potato production. Used for pre-emergence care, the preparation containing linuron did not leave even trace amounts of this active substance in the tubers. The determined amount of the active substance fluorochloridon and clomazone was lower than the Maximum Residue Level (MRL) norm in the EU (European Union). As a result, the adopted, innovative management and weeding control systems in the cultivation of early potato varieties can be considered safe for the consumer.

The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

Yield forecasting is a rational and scientific way of predicting future occurrences in agriculture—the level of production effects. Its main purpose is reducing the risk in the decision-making process affecting the yield in terms of quantity and quality. The aim of the following study was to generate a linear and non-linear model to forecast the tuber yield of three very early potato cultivars: Arielle, Riviera, and Viviana. In order to achieve the set goal of the study, data from the period 2010–2017 were collected, coming from official varietal experiments carried out in northern and northwestern Poland. The linear model has been created based on multiple linear regression analysis (MLR), while the non-linear model has been built using artificial neural networks (ANN). The created models can predict the yield of very early potato varieties on 20th June. Agronomic, phytophenological, and meteorological data were used to prepare the models, and the correctness of their operation was verified on the basis of separate sets of data not participating in the construction of the models. For the proper validation of the model, six forecast error metrics were used: i.e., global relative approximation error (RAE), root mean square error (RMS), mean absolute error (MAE), and mean absolute percentage error (MAPE). As a result of the conducted analyses, the forecast error results for most models did not exceed 15% of MAPE. The predictive neural model NY1 was characterized by better values of quality measures and ex post forecast errors than the regression model RY1.