Assessment of climatic conditions for the purpose to organize the restoration protective forest strips on the territory of Pervomaysky district in the Republic of Crimea

The paper evaluates the climatic conditions in order to organize the restoration of protective forest strips on the territory of the Pervomaysky district of the Republic of Crimea. The following indicators were analyzed and mapped: the wind regime of the territory (wind direction, speed, repeatability); heat and moisture availability of the territory (precipitation for various periods, average and total temperature values for months and periods, moisture coefficients of the territory (Selyaninov hydrothermal coefficient (SCC), Budyko dryness index and Sukachev coefficient (CS). On their basis, climatopes of forest belts are compiled. The presented data and certain climatic parameters are used to determine the design features of forest belts within the areas under consideration. The amount of data provided is sufficient in accordance with the guidelines for the design of protective forest stands to assess the meso-climatic conditions of the survey area.

INFLUENCE OF MOISTURE AVAILABILITY ON HELIANTHUS ANNUUS L. YIELD IN DRY CONDITIONS OF THE CRIMEAN PENINSULA

The Crimean Peninsula is located in the dry zone. In the steppe Crimea, which is the driest part of the peninsula, the major limiting factor for crop productivity is the natural moisture supply of plants. The purpose of the research was to establish the relationships between hydrometeorological factors (moisture reserves in the soil before sowing, precipitation amount and Selyaninov hydrothermal coefficient during the growing season) and sunflower yield depending on planting dates (I, II, III decade of April) and plant density (30, 40, 50, 60, 70 thousand units per hectare). The studies were carried out on the trial fields of the Research Institute of Agriculture of Crimea (village of Klepinino) in 2017–2019 using hybrid of ultra-early sunflower ‘Avangard’. The laying of field experiments, accounting, analyzes and statistical processing of data were carried out according to the methods of field research and methodology of field agricultural experiments with oil crops. A strong correlation was observed: 1) between yield and precipitation amount in May (r = 0.977) and moisture reserves before sowing (r = 0.978), planting dates – the first decade of April; 2) between precipitation amount in May (r = 0.932) and moisture reserves before sowing (r = 0.977–0.978), sunflower was sown in the second decade of April; 3) moisture before sowing (r = 0.892), crop planted in the third decade of April. A close positive relationship (r = 0.853–0.972) was observed at the optimal plant density for the region (40 thousand units/ha) between the amount of precipitation in April–May, moisture reserves in the soil before sowing and yield of sunflower. This indicates a high value of moisture availability during this period in the crop yield formation. In denser crops (50–70 thousand units/ha), the closest relationship is observed between the yield and the amount of precipitation in May. This makes the latter primary and decisive in the cultivation of crops with such a density since the competition for moisture increases with an increase in the number of plants per unit area. The closest relationship between the Selyaninov hydrothermal coefficient and sunflower yield was observed in April and May (r = 0.833–0.967) when plants grow more intensively and require sufficient moisture.

The influence of hydro-meteorological conditions on the spread of chicken cestodiasis

Today one of the important problems in poultry farming and bird keeping both in homesteads and on farms is the spread of endoparasites, which cause a significant decrease in productivity and significant economic damage. Raillietinosis and daveniosis are natural focal tape helminthiases that parasitize in the small intestine of poultry. The research on chicken cestodiasis was carried out on poultry farms in the south of Odessa Region of Ukraine during 2017 and 2019. 4219 chickens of different age groups were examined, which used walking areas, with 1965 chickens – in 2017 and 2254 – in 2019. To assess the wet and dry periods with daily average temperatures above 10 °C, that is the period of active vegetation, the Selyaninov hydrothermal coefficient (SHC) was used (1937), according to which the spread of chicken cestodiasis was determined. In the south of Odessa Region, the moderate and severe period increased from four to seven months, at which the hydrothermal coefficient amounted to 0.4–0.8. The period of sufficient moisture at a hydrothermal coefficient of 1.0–1.5 decreased from three months of 2017 to two months of 2019 and the hydrothermal coefficient was not calculated for five and three months, respectively. In 2017, the hatching of cestode eggs with bird manure was recorded for nine months: from March (10.1%) to November (5.8%) with high rates in June (27.2%) and September (37.1%), while in 2019, cestode eggs were recorded in February (12.7%) and up to December (2.4%), that is, for 11 months, with the highest rates in May (41.8%) and September (43.9%). The species composition of chicken cestodes is represented by four species: Raillietina echinobothrida (74.2%), which dominates due to a longer low hydrothermal coefficient, as well as R. tetragona (9.8%), R. cesticillus (10.8%) and Davainea proglottina (5.2%). The invasion of ants with cysticercoid R. echinobothrida in 2017 amounted to 19.6%, and in 2019 – 25.9% with an intensity of 1 to 4 specimens.

THE INFLUENCE OF WEATHER CONDITIONS OF THE GROWING SEASON ON THE YIELD OF SPRING WHEAT AND THE EFFECTIVENESS OF NITROGEN FERTILIZER IN THE FOREST-STEPPE OF THE OB RIVER REGION

The purpose of the study is to identify the dependence of spring wheat productivity on agrometeorological indicators of the vegetation period at various levels of nitrogen nutrition in the central forest-steppe of the Ob Region. Wheat of medium early varieties was grown in a wheat-barley crop rotation at doses N0, N30, N60 and N90 against the background of a full range of plant protection products. The correlation between wheat productivity and agrometeorological indicators was evaluated based on the results of 13 years of research. To characterize the hydrothermal conditions, we used the reserve of productive moisture in the soil, the amount of precipitation and air temperature, the Selyaninov hydrothermal coefficient , and the Ponko wetting coefficient. Over the years, grain yield varied from 7.2 to 43.6 kg / ha, Selyaninov coefficient - from 0.18 to 1.67. The highest correlation coefficients (0.7–0.8) were obtained between wheat productivity and indicators of hydrothermal conditions in June - July. Moreover, with the amount of precipitation of this period, the dependence was positive, with air temperature - negative. No reliable relationship was found between grain yield and spring stock of productive moisture in the soil. The tightness of the relationship between wheat productivity and the Selyaninov hydrothermal coefficient and Ponko hydration coefficient was the same, with the highest correlation coefficients also obtained for June – July. The increase in wheat grain from nitrogen fertilizer increased significantly as the hydrothermal conditions of the growing season improved. Based on the obtained values of the fertilizer nitrogen payback by increasing the crop, it was concluded that the current price ratio - the sale of grain by the farms and their purchase of nitrogen fertilizers (approximately 1:7) is unfavorable for the development of intensive crop cultivation technologies.

COMPARISON OF WATERMARK SOIL MOISTURE CONTENT WITH SELYANINOV HYDROTHERMAL COEFFICIENT

Agricultural producers to determine irrigation scheduling practices for crop‘s waterrequirement better when the soil water content of their fields is known. SelyaninovHydrothermal Coefficient (HTC) coefficient is used for identifying droughts duringthe active vegetation period, based on the water balance equation. For farmers tomake measurements of soil moisture is simply with humidity sensors, for exampleWatermark type. Soil humidity values established using Watermark type humiditysensors, value interpretations are based on manufacture indications, however theyhave not been adapted to Lithuanian conditions. Soil moisture was measured withWatermark soil moisture sensors placed at 20 and 50 cm depths. After analysingthe values taken throughout the whole period and summarizing the results it hasbeen identified that plant growth condition period evaluation according to HTC andfactual soil humidity reserves (W) differs by 20%. HTC meaning dependenciesduring vegetation period using Watermark measured humidity, strong or averagelystrong interrelation is determinate, in most cases – statistically significant. Whenevaluating soil humidity reserves based on soil texture, it is recommended to keepthe critical Watermark level in light texture soil (sands) at 80 cbar, and in all othertypes of soil - at 150 cbar. The results clearly indicate that soil composition couldbe factors limiting the success of identifying droughts in agriculture carried byWatermark type humidity sensors.

INFLUENCE OF SPATIAL AND TEMPORAL PATTERNS OF HYDROTHERMAL CHARACTERISTICS OF CLIMATE ON THE AGROSPHERE OF THE RIVNE REGION

The research phase covers a ten-year period (2008-2017). Spatial-temporal changes of climatic indicators of Rivne region in the studied period were revealed. The comparison of the main hydrothermal indicators with the generally accepted climatic norm was carried out. The article describes the temperature regime and weather phenomena related to air temperature. The regime of humidification of the territory of Rivne region was considered. The average level of snow cover and its presence by months was studied. Climate maps of the region have been compiled. Agroclimatic characteristics of the region by Selyaninov hydrothermal coefficient were studied. An analysis of the potential impact of climate change on the cultivation of crops in Rivne region was conducted.

CORRELATION OF GRAIN AND LEGUMINOUS CROPS YIELD FROM AGROCHEMICAL SOIL PARAMETERS AND WEATHER CONDITIONS

This work is dedicated to the evaluation of dependence of grain and leguminous crops yield from the main agrochemical parameters of soil and weather conditions. Proceedings on agrochemical survey of arable soils, crop yields, and the main agro-meteorological indicators of Baltasi municipal district of the Republic of Tatarstan for 1980-2010 years were generalized. Over the years aproductivity of grain and leguminous crops in the region has increased for 1.73-2.25 times, increasing the yield for 37-49 kg per hectare grain per year. The productivity of all crops is most closely connected with the average content of mobile potassium (r = 0.83-0.90) and phosphorus (r = 0.51-0.78). A moderate negative correlation was found between yield of studied species and share of arable land, having an acid reaction (r = - 0.32-0.48). During the study period the moisture content of the Baltasi municipal district of Tatarstan often (recurrence is 63.4%) was characterized as insufficient or arid. We found a negative correlation of spring crops productivity (spring wheat, barley, pea) from the amount of active temperatures, which indicates that heat supply of the area is not a limiting factor for these crops, and a growing fever of the season often has a negative impact. The tightness and direction of the correlation the productivity of spring crops and peas from the amount of rainfall is changing dramatically by periods: if the amount of precipitation in May has a very weak positive effect on the productivity (r = 0.16-0.17), the rain, falling during maturation and harvesting, have a negative impact (r = -0.14 and -0.21). The largest positive impact on the spring crops yield had a rainfall of June. Especially the correlation was noticeable for pea (r = 0.64) and spring wheat (r = 0.58). Compared with the June precipitation, total precipitation during the growing season had on the yield of spring crops significantly less impact (r = 0.32-0.53). The productivity of spring crops was less dependent on the amount of annual rainfall (r = 0.28-0.49). The productivity of spring crops and peas are most closely correlated with Selyaninov hydrothermal coefficient in June (r = 0.50-0.65), and winter rye - in August before sowing (r = 0.45). Therefore, to predict the effects of the prevailing weather conditions on productivity of certain crops, it should be used the hydrothermal coefficient of Selyaninov of the relevant month. According to the yield correlation coefficients from Selyaninov hydrothermal coefficient on vulnerability to adverse weather conditions (insufficient moisture content, high temperature) experienced species can be arranged in the next growing rate: peas <spring wheat <barley <winter rye.