scholarly journals Motor activity of sheep on pasture in the conditions of Eastern Siberia, Russia

2021 ◽  
Vol 16 (1) ◽  
pp. 128-137
Author(s):  
Т. N. Khamiruev ◽  
В. Z. Bazaron ◽  
I. V. Volkov ◽  
S. M. Dashinimaev ◽  
V. G. Chernykh
Keyword(s):  
Motor Activity ◽  
Nutritional Value ◽  
Weather Conditions ◽  
Steppe Zone ◽  
Air Velocity ◽  
Pasture Grass ◽  
Average Speed ◽  
Relative Air Humidity ◽  
Grazing Period ◽  
Using Data

Aim. To study the motor activity of sheep of the Zabaykal (Transbaikal) and Agin breeds in year‐round grazing in relation to the season of the year.Material and Methods. The research was carried out in the steppe zone of the Aginsky District of Zabaykalsky Territory. Garmin eTrex 20x GPS receivers were used in the research with the help of which motor activity and the speed of sheep in pasture were monitored. Weather conditions were taken into account for the relevant research periods using data from the meteorological service.Results. Average daily air temperature in winter was – 23.30°C, air velocity 1.3 m/s and relative air humidity 67.3%, and in spring was 13.70°C; 4.1 m/s and 35.6%, in summer – 20.90°C; 1.6 m/s and 77.3% and in autumn – 1.10°С below zero, 2.4 m/s and 50.1%. It was found that the sheep being monitored travelled different distances with different speeds of movement depending on the season of the year and origin. They travelled the greatest distance in winter with a higher average speed of movement and a shorter distance in the summer. At the same time, it was noted that semi‐coarse‐wooled (Agin) sheep passed 12378 m during the 8‐hour grazing period, which is 24.9% more than fine‐wooled (Zabaykal) sheep (Р˂0.01), in spring – 8,168 m (22.3% more, Р ˂0.05), summer – 6,511 m (24.5% more, Р˂0.01) and autumn – 9,214 m (40.3% more). The average speed of movement of semi‐coarse‐wooled sheep was higher than fine‐wooled by 80.0% (P˂0.05), 25.0, 9.1 and 23.1% (P˂0.05), respecƟvely. The nutritional value of 1 kg of dry matter of pasture grass was higher in the summer and amounted to 0.68 units with a content of 1 unit 93.1 g of digestible protein. Conclusion. The research data allow us to conclude that the motor activityand the speed of movement of sheep in pasture directly depends on the season of the year and the nutritional value of pasture grass, as well as on type of breed. 

scholarly journals Spatial structure and motor activity of horses of Zabaikalsky breed

2021 ◽  
Vol 51 (4) ◽  
pp. 42-52
Author(s):  
G. M. Shkuratova ◽  
T. N. Khamiruev ◽  
S. M. Dashinimaev ◽  
B. Z. Bazaron
Keyword(s):  
Motor Activity ◽  
Spatial Structure ◽  
Air Temperature ◽  
Nutritional Value ◽  
Dry Weight ◽  
Economic Research ◽  
Air Humidity ◽  
Pasture Grass ◽  
Digestible Protein ◽  
Air Speed

The total influence of external environmental factors by seasons on the spatial structure and motor activity of herd horses of Zabaikalsky breed with year-round grazing was studied. The scientific and economic research was carried out in Trans-Baikal Territory. Grazing of 10 herds of horses (20-27 heads) was carried out on the area of 301.5 km2 at different distances from each other. The distance from the horse-breeding camp was 2300-7900 m. According to the motor activity assessment of horses in the spring and summer seasons during 14 hours of grazing, the average speed was 1.4 and 1.1 km/h, the distance traveled was 16828 and 14827 m. The average air temperature during these periods was 10.4 and 12.2 °С, average air velocity was 4.5 and 2.1 m/s, average relative air humidity was 32.2 and 53.3%. In the autumn period, during 10 hours of grazing, the distance was 13879 ± 195.7 m at a horse speed of 1.2 ± 0.07 km/h, average air temperature of minus 1.1 °C, air speed of 2.3 m/s, and air humidity of 54.4%. In winter, the grazing time was 8 hours, the horses in the experiment covered the distance of 12190 ± 142.3 m at a speed of 1.8 ± 0.03 km/h with an average temperature of minus 24.7 °C, wind speed of 1.5 m/s and relative humidity of 64.7%. In the spring, the horses covered the distance greater than in summer, by 13.5% (p < 0.01), in autumn - by 21.2% (p < 0.001) and in winter - by 38.0% (p < 0.001). The highest nutritional value of pasture herbage was noted in the summer (0.60 feed units/kg of dry weight, 102.3 g of digestible protein/ feed unit). In the spring, the nutritional value of pasture grass was 0.35 feed units/kg of dry weight with 31.5 g of digestible protein.

PRODUCTIVITY OF PASTURAL HERBS WITH PARTICIPATION OF FESTULOLIUM DEPENDING ON WEATHER CONDITIONS OF VEGETATION PERIODS

2020 ◽  
Author(s):  
Kira Privalova ◽  
Ruslan Karimov
Keyword(s):  
Weather Conditions ◽  
Research Data ◽  
Pasture Grass ◽  
Moisture Supply ◽  
Productivity Indicators ◽  
Heat And Moisture

Based on 13 years of research, data are presented on the productivity of pasture grass stands with the participation of festulolium (cultivar VIK 90) in years with different conditions of heat and moisture supply of vegetation periods. Productivity indicators, depending on weather conditions, changed 1.5 times.

Comparative Characteristics of Assessment Methods for Arachis Hypogaea Collection Samples

2019 ◽  
pp. 85-95
Keyword(s):  
Arid Zone ◽  
Genetic Selection ◽  
Statistical Processing ◽  
Weather Conditions ◽  
Steppe Zone ◽  
Morphological Identification ◽  
Oilseed Crop ◽  
The South ◽  
Tropical Zone ◽  
Number Of Branches

Peanuts are plants of the tropical zone, therefore, for its growth and development, high temperature indicators are needed during a fairly long growing season. The climatic parameters of the south of Ukraine correspond to the needs of this culture, and today there is positive experience in growing peanuts in this region. In order to increase the efficiency of growing peanuts in the conditions of the Steppe zone, it is necessary to carry out genetic selection work to study and select a more adapted source material in order to create highly productive Ukrainian varieties adapted to the arid zone conditions. At the initial stage of this work, it is necessary to have clear signs and characteristics for evaluating the studied genotypes, and the existing methods for describing the characters and conducting an examination for distinctness, uniformity, and stability are incomplete and do not meet the requirements for in-depth work on private genetics and culture breeding. For our work, we used 18 peanut genotypes as a material, which make up the collection of the Institute of Oilseeds of NAASU. Studies were carried out in 2018 and 2019, in different weather conditions. All measurements, observations and statistical processing in the study of samples were carried out in accordance with generally accepted methods. When conducting a comparative analysis of the two methods for describing the signs of underground peanuts, it was found that one of the methods contains 23 signs and the other 17. The signs of the vegetative part of plants that characterize the habit and structure of the leaf predominate in both methods. We have identified and proposed for description 9 new characters in peanut plants: 2 - leaf characters (additional leaves and pubescence); 1 - the structure of beans (weight 100 beans); 1 - an economically valuable trait (the presence of nodules on the roots); 5 - flower features (size and color of the flower and border). In terms of plant habitat, Ukrainian Stepnyak and Krasnodar 13 varieties were distinguished, which had the highest height (43.8 cm) and the largest number of branches (9.3 pcs.). In addition to morphological identification features for the description and examination of distinctness, uniformity and stability, we have also studied the quantitative characteristics of underground peanuts. It was established that the height of peanut plants in the field conditions of the south of Ukraine ranged from 14 to 44 cm. The highest variety was the Ukrainian Stepnyak variety, and the shortest one was Pink large. The largest number of branches is 9.3 pcs. noted in the variety Krasnodar 13, and the smallest 4.62 pcs. - at L3. And the largest flower of 1.91 cm stood out White-pink 3. The quantitative traits we studied are characterized by continuous variability, which is due to the interaction between genes and the environment. Thus, to identify varietal variability in underground peanuts, it is necessary to use both existing methods, and in the near future, work should be done to combine them with the inclusion of new identified characters to more clearly identify the genotypes of this new valuable oilseed crop.

scholarly journals Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland

2021 ◽  
Vol 13 (13) ◽  
pp. 2433
Author(s):  
Shu Yang ◽  
Fengchao Peng ◽  
Sibylle von Löwis ◽  
Guðrún Nína Petersen ◽  
David Christian Finger
Keyword(s):  
Machine Learning ◽  
Weather Conditions ◽  
Dust Storms ◽  
Machine Learning Algorithms ◽  
Lidar Data ◽  
Data Sets ◽  
Doppler Lidar ◽  
Lidar Measurements ◽  
Using Data ◽  
Filter Noise

Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds, aerosols and rain. The results reveal a high accuracy for noise identification and aerosols and clouds classification. However, precipitation detection is underestimated. The method was tested on data sets from two instruments during different weather conditions, including three dust storms during the summer of 2019. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can open new opportunities for lidar data end-users, such as aviation safety operators, to monitor dust in the vicinity of airports.

Environmental Conditions Associated With Youth Delinquency Events: A Temporal, Meteorological, and Contextual Perspective

2021 ◽  
pp. 001391652110605
Author(s):  
Alexander Trinidad ◽  
César San Juan ◽  
Laura Vozmediano
Keyword(s):  
Violent Crime ◽  
Weather Conditions ◽  
Violent Crimes ◽  
Public Places ◽  
Youth Delinquency ◽  
Violent Youth ◽  
Direct Association ◽  
Using Data ◽  
Public Holidays ◽  
Rainfall Level

Research on youth delinquency has been essential for gaining a deeper understanding of the etiology of delinquent behavior. Studies considering the environmental perspective have increased during the last decade, but relatively little attention has been paid to temporal patterns and weather conditions. The present study explores the seasonality of youth delinquency as well as the association between violent and non-violent youth offenses and temperature, rainfall, level of darkness, type of day, type of place, and companionship, using data gathered by the police along with data obtained from official weather agencies. To this end, we conducted ANOVA and contingency table analyses. Seasonality was found for non-violent crimes. Companionship, semi-public, and public places were all associated with a higher likelihood of non-violent crime, while darkness and public holidays raise the odds of violent crime to happen. No direct association was found between temperature and type of crime.

scholarly journals Climate change and economic efficiency of agricultural production in the Steppe zone

2020 ◽  
pp. 56-69
Author(s):  
Yu. O. Tararico ◽  
Yu. V. Soroka ◽  
R. V. Saidak
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
Agricultural Production ◽  
Cropping System ◽  
Weather Conditions ◽  
Steppe Zone ◽  
Annual Rainfall ◽  
Winter Rape ◽  
Average Value ◽  
Dry Steppe

Relevance of research. Due to ongoing climate change, almost the entire territory of the Steppe of Ukraine by annual humidity factor belongs to the dry and very dry zones, the relative area of ​​which has increased by 13.2% of the total area of ​​the country compared to the 1960-1990s. At the same time, for today in Ukraine only about 500 thousand hectares are actually irrigated, that is 19% of the potential area. Purpose of research. To determine the patterns and trends of climate change in the western part of the dry Steppe of Ukraine and analyze the economic indicators of production activity in the region as to the variable weather conditions. Research methodology. Climate change was estimated on the basis of Climate Water Balance (CWB) and Hydrothermal Coefficient (HTC) values. The analysis of the economic efficiency of agricultural production was carried out by analyzing the statistical data for Odessa region and for the chosen agricultural enterprise. Research results and conclusions. The use of significant heat supply in the dry Steppe zone is limited by insufficient water supply conditions. In the years of 1991-2016  the average annual rainfall was 480 mm and since the early 2000s there has been a slight increase in that. However, even having 500-550 mm of average annual rainfall that has been observed over the past five years, it is not enough for providing high-yield agricultural production. High thermal regime couses high evaporation that in turn, leads to water supply deficit, which at the end of the growing season amounts to 336-436 mm. According to the HTC index in the region 80% of cases show severe and moderately arid vegetation conditions. At the same time, irrigation area in the region has decreased to a minimum, which has led to the domination of winter cereals and sunflower in the cropping system. Under variable weather conditions, winter wheat yields ranged from 19.4 to 38.5 c/ ha (31.4 c/ha on average) and sunflower - from 12.2 to 21.4 c/ha (17.4 c/ha on average), winter rape - from 13.1 to 20.9 c/ha (18.2 c/ha). It was proved a close direct relationship between the sale price of products of all studied crops and their cost price, as well as the inverse relationship of these indicators with the crop yield. The profitability of winter wheat from 2011 till 2016 ranged from 17 to 153 USD/ha with an average value of 86 USD/ha, winter rape - from 39 to 273 USD/ha with an average value of 166 USD  ha and sunflower - from 116 to 315 USD/ha with an average value of 192 USD/ha. Corn and soybeans have proven to be unprofitable in some years, which obviously explains rather small areas under these crops in the region. Above mentioned demonstrates the high economic instability of agricultural production in changing weather conditions, which is accompanied by significant risks for producers, especially when attracting credits. This situation, in turn, leads to a limited use of intensification means, in particular mineral fertilizers, which promotes agrochemical soil degradation. Under unstable water supply, the magnitude of net profit variation per hectare of arable land in Odessa region is 33-188 USD/ha (111 USD/ha on average). It is possible to increase these indicators by increasing the share of winter rape in the cropping system. With the optimization of the water and air soil regimes as well as crop rotation factor, the profitability of agricultural production in the region can be increased up to 580-600 USD/ha. Similar results were obtained after analyzing the statistical data from the southern regions within the dry steppe zone.

scholarly journals Influence of the growth regulator “Regoplant” and microfertilizer “Ultramag Kombi” on photosynthetic activity of potatoes in the forest-steppe zone Republic of North Ossetia-Alania

2021 ◽  
Vol 210 (07) ◽  
pp. 55-65
Author(s):  
Larisa Ikoeva ◽  
Oksana Haeva
Keyword(s):  
Growth Regulator ◽  
Field Experiments ◽  
Photosynthetic Activity ◽  
Low Cost ◽  
Weather Conditions ◽  
Steppe Zone ◽  
Practical Significance ◽  
Forest Steppe ◽  
Photosynthetic Productivity ◽  
North Ossetia

Abstract. The purpose of the work is to study the influence of the growth regulator “Regoplant” and microfertilizer “Ultramag Kombi” on the photosynthetic productivity of the potatoes of the Barna variety based on the results of field experiments in the forest-steppe zone Republic of North Ossetia-Alania. Methods. Studies on the tasks were carried out in 2018–2020. at the experimental site of the NCRIMFA branch of the VSC of RAS in the conditions of the forest-steppe zone Republic of North Ossetia-Alania according to generally accepted methods. The soil of the experimental plot is medium-power heavy loamy leached chernozem, lined with pebbles. Results. It is established, that biological products under identical soil and weather conditions assisted different progress of plants and approach of phases of vegetation. For all variants of the experiment, the number of stems increased by 0,3–0,7 pcs., the height of the stems of potato plants – by 3,8–4,9 cm in comparison with the control. An intense increase in the mass of tops occurred when using a tank mixture (growth regulator “Regoplant” (25 ml/ha) + microfertilizer “Ultramag Combi” (0,75 l/ha)) – by 74 g/bush, or 15.5 % compared with the control variant. During the growing season, the sum of the photosynthetic potential (FP) was 1,070 thousand m2 •days/ha in the control, and on average 1198–1406 thousand m2•days/ha in the experimental variants. The greatest accumulation of dry matter was noted when using a tank mixture – 917 g/m2. The maximum pure photosynthetic productivity was observed in experimental variant IV – 6,52 g/m2•day compared to the control option. Scientific novelty. For the first time in the forest-steppe zone Republic of North Ossetia-Alania the effect of the growth regulator “Regoplant” and microfertilizer “Ultramag Kombi” on photosynthetic activity of potatoes was studied. Practical significance. The studies carried out make it possible to recommend in potato production the use of a tank mixture of an effective growth regulator “Regoplant” at a dose of 25 ml/ha and microfertilizer “Ultramag Combi” at a dose of 0,75 l/ha, as an ecologically safe and low-cost agricultural method when processing vegetative plants, providing an increase in yield and quality of tubers.

scholarly journals Influence of road conditions on vehicles’ fuel consumption

2021 ◽  
pp. 158-164
Author(s):  
Kateryna Dodukh ◽  
◽  
Anton Palchyk ◽  
Keyword(s):  
Fuel Consumption ◽  
Weather Conditions ◽  
General Criterion ◽  
Average Speed ◽  
The Road ◽  
Horizontal Curves ◽  
Vehicle Type ◽  
Wet Snow ◽  
Northern Regions ◽  
Road Width

The work is devoted to the solution of the issue of economic and safe transportation of goods and passengers by road. This transportation depends on the condition of roads, road surface, vehicle type and weather conditions. Weather conditions are taken into account both in terms of visibility (meteorological) and in terms of the coefficient of adhesion. The general criterion for assessing all conditions is the average speed of the vehicle, taking into account weather and road conditions. Weather conditions are determined by the type of visibillity: clear weather, rain, snowfall, blizzards, rain. By the coefficient of adhesion: dry surface, normal, wet, snow, ice. By road conditions: category of road, width of the travel section, radii of horizontal curves, longitudinal slopes, width of the road, the state of surface (coefficient of solidity). According to weather conditions, the calendar year is divided into three periods according to the conditions of cars’ movement. The first (winter) - December, January, February, March; second (spring-summer) - April, May, July, June, August; third (autumn) - September, October, November. The use of weather conditions in the Northern regions of Ukraine is presented in this work.

scholarly journals Weather Conditions and Maturity Group Impacts on the Infestation of First Generation European Corn Borers in Maize Hybrids in Croatia

Plants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1387
Author(s):  
Renata Bažok ◽  
Ivan Pejić ◽  
Maja Čačija ◽  
Helena Virić Gašparić ◽  
Darija Lemić ◽  
...  
Keyword(s):  
First Generation ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Key Factors ◽  
Maturity Group ◽  
Climatic Regions ◽  
Corn Borers ◽  
Relative Air Humidity ◽  
Observed Damage ◽  
Maturity Groups

Overwintering success and weather conditions are the key factors determining the abundance and intensity of the attack of the first generation of European corn borers (ECB). The tolerance of maize to the 1st generation of ECB infestation is often considered to be connected with the maize maturity time. The aims of this research were (I) to examine the reactions of different maize FAO maturity groups in term of the damage caused by ECB larvae, (II) to analyze the influence of four climatic regions of Croatia regarding the damage caused by ECB larvae, and (III) to correlate observed damage between FAO maturity groups and weather conditions. First ECB generation damage has been studied in the two-year field trial with 32 different hybrids divided into four FAO maturity groups (eight per group) located at four locations with different climatic conditions. The results showed a lack of correlation between the FAO maturity group and the percent of damage. The percent of damage was positively correlated with the average air temperature in June (r = 0.59 for 2017 and r = 0.74 in 2018, p = 0.0001) within the range from 20 to 24.5 °C and was negatively correlated with the relative air humidity (r = −0.58 in 2017 and r = −0.77 in 2018, p = 0.0001) within the range of 50% to 80%. Our results provide a better understanding of the different factors that influence ECB damage. The obtained data could be used to predict the damage from the first generation of ECB under the weather conditions of different regions.

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