Air Temperature In June Research Articles

Влияние агроклиматических условий на формирование урожайности гречихи в Республике Татарстан в 2000-2022 годы

The studies were carried out in order to study the impact of meteorological conditions on the yield of buckwheat in the Republic of Tatarstan in the period 2000-2022. The dynamics of buckwheat yield from 2000 to 2022 was considered, the average yield was equal to 10,5 c/ha. The range of yield fluctuations in the study years turned out to be 13,0 c/ha. The highest yield was recorded in 2008, when humidification conditions were favorable for the development of buckwheat plants, while the minimum figure was recorded in 2010 due to lack of precipitation and high temperature tension, which negatively affected the growth, flowering and maturation of the crop. To assess the dynamics of buckwheat yield development over time, indicators characterizing the dynamics of time series were analyzed. During the study period, variable dynamics of buckwheat yield was observed in the Republic of Tatarstan. The maximum increase was in 2011 compared to the previous year and amounted to 9,6c/ha, which is an increase of 355,6 %. The highest yield rates were recorded in 2011 and 2022 – 455,6 % and 226,9 %, respectively. The minimum rates of buckwheat yield in Tatarstan were noted in 2010 (22,7 %), 2021 (55,3 %) and 2018 (68,2 %). Air temperatures of the month of May, June and July during the periods 2000-2010 and 2011-2022 were compared. It was found that in the period 2011-2022 the average air temperature of the months considered is 0.8-1.0 °C higher than in 2011-2022. Analysis of the correlation of yield with the main meteorological indicators showed that air temperatures in June and July and precipitation in June play an important role for high yields.

Grain quality indicators and size-dependent fractional composition in winter rye cultivars under the conditions of the Lower Volga region

Background. Grain quality indicators of winter rye cultivars were analyzed in connection with the size-dependent fractional composition of their grain in the Lower Volga environments.Materials and methods. The research material included 22 cultivars developed at various Russian scientific institutions, 3 Belarusian ones, and 3 cultivars bred at the Federal Center of Agriculture Research of the South-East Region. Comparative trials were conducted in 2021–2022 on 13.2 m2 plots in two field replications. The following grain quality indicators were studied: grain test weight, 1000 grain weight, size-dependent fractional composition, Hagberg falling number, amylogram peak height, starch gelatinization temperature, protein content, and rheological properties of the meal/water slurry.Results. Protein content was recorded at a level of 9.98–10.85%, while the starch gelatinization temperature was high due to the June air temperatures higher than the norm. Significant differences among the cultivars were found in the fractional composition of grain: 12 forms were identified with medium viscosity of the meal/water slurry and the fine-grain fraction content up to 30% of the total weight.Conclusions. There is a positive significant correlation between the five studied indicators characterizing the rheological properties of the meal/water slurry made from the grain of winter rye cultivars and the grain fraction composition (0.82*–0.91*).

АГРОКЛИМАТИЧЕСКИЕ РЕСУРСЫ ФОРМИРОВАНИЯ КАЧЕСТВА ЗЕРНА ЯРОВОЙ ПШЕНИЦЫ В РЕСПУБЛИКЕ БАШКОРТОСТАН

The results of the study of the dependence of the grain quality of soft spring wheat (Tríticum aestívum L.) on the main agroclimatic resources in the territory of the Republic of Bashkortostan are presented. Field experiments were carried out in different geographical locations of the republic according to the methodology of the State Variety Trial. Laboratory analyses of grain quality were carried out according to the methodology set forth in the State Standards. It has been established that the quality of soft spring wheat grain in the Republic of Bashkortostan largely depends on agroclimatic resources. In recent years, there has been a manifestation of global climate change on the territory of the republic. The amount of gluten in the grain depends to a large extent on the change in the average daily air temperature in June (r = 0.741) and to a slight extent on the average daily temperature in July (r = 0.359). The degree of dependence of gluten content increases significantly with an increase in the sum of air temperatures during the active vegetation of spring wheat (r = 0.812). The dependence of gluten content on the sum of temperatures in June and July is straightforward, and an increase in heat resources during the vegetation period of spring wheat plants by 10 °C contributes to an increase in the gluten content in grain by 0.73 %. Heat resources have a comparatively weak effect on other indicators of wheat grain quality. The correlation coefficient between gluten content and precipitation in July was 0.764. An increase in precipitation in July by 10 mm leads to a decrease in the gluten content in the grain of spring soft wheat by 0.49 %. High moisture availability also leads to the formation of soft spring wheat grain with low vitreousness (r = –0.547) and natural weight (r = –0.521). Moisture resources had a small effect on the gluten deformation index (r = 0.227). Precipitation in June has a weak effect on the quality indicators of spring soft wheat grain. The correlation coefficients between the sum of precipitation in June and the quality indicators were positive and ranged from 0.223 to 0.341

Fungicidal Protection as Part of the Integrated Cultivation of Sugar Beet: An Assessment of the Influence on Root Yield in a Long-Term Study

Despite the major role of non-chemical treatments in integrated plant protection, fungicides often need to be applied as a crop protection treatment in sugar beet farming. They should be used based on a good understanding of the requirements and effectiveness of the active ingredients. In 11-year field experiments, the effect that one and three foliar applications of fungicides containing various active ingredients (triazoles, benzimidazoles, strobilurines) had on sugar beet root yields was assessed, depending on various thermal and rainfall conditions. It was found that in eight of the 11 years, foliar application of fungicides increased yields compared to unprotected plants, and three foliar treatments during the growing season were more effective than a single application. The negative correlation of the root yield of fungicidally protected plants with total June rainfall was weaker than the same relationship for unprotected plants. At the same time, the positive correlation between the yield of fungicidally protected sugar beets and average June air temperature was stronger than the same relationship for unprotected plants. The research results indicate the need to conduct long-term field experiments and to continuously improve integrated production principles for sugar beet, especially regarding the rational use of pesticides.

ИЗМЕНЕНИЕ ТЕРМИЧЕСКИХ РЕСУРСОВ ВЕГЕТАЦИОННОГО ПЕРИОДА И УРОЖАЙНОСТЬ ЯРОВОЙ ПШЕНИЦЫ В УСЛОВИЯХ СРЕДНЕГО ПОВОЛЖЬЯ

The article presents the results of long-term studies (1982-2018) on the assessment of changes in thermal resources during the growing season and the indication of their impact on the yield of spring wheat. The work was carried out in the conditions of the northern part of the Middle Volga region on gray forest soils. The soil of the experimental site is gray forest medium loamy, the content of humus (according to Tyurin) is 2.8...3.2%, mobile phosphorus and potassium (according to Kirsanov) - 105...184 and 79...149 mg /100 g of soil, respectively, pH- 5.6...5.8. During the observation period, the highest temperature increase was recorded in July (2.4°C) and May (2.2°C), and the lowest in June (1.0°C). The sum of effective temperatures over 10°C increased by 500°C during the study period. The yield of spring wheat grown without fertilizers varied greatly in different years, ranging from 0.99 to 2.97 t/ha. The highest value of this indicator was observed at an average monthly air temperature of about 13 0C in May, 17 0C in June, 18 0c in July, and the sum of active temperatures was 1800 0c. The studied thermal resources, in accordance with the significance of the impact on the yield of spring wheat, can be arranged in the following descending order: average air temperature in June > average air temperature in July > the sum of effective temperatures above 10 °C > average air temperature in May. To describe the dependence of the yield of spring wheat grain on thermal resources, in three cases out of four, a polynomial equation of the second degree was better suited, and in one case, an exponential equation.

Natural Selection at the Edge of Life: Allelic Polymorphism and Recruitment in High Latitude Arctic Char (Salvelinus alpinus) Generated and Maintained by Environmental Extremes

Information from extreme habitats of polymorphic populations is expected to answer questions related to evolutionary changes occurring at their niche border. Landlocked and resident/anadromous populations of the Arctic char (Salvelinus alpinus (L.) sp. complex), sampled during three successive years in northern Svalbard, were assessed for life-history characteristics, allele-frequency variation at the polymorphic EST-2* locus, and tested for genotype–environment interactions. While year-class strength correlated positively with mean air temperature during the two summers preceding spawning, the EST-2*100 allele frequency correlated positively with the air temperature in June after birth. By affecting two asynchronous and independent population variables, which are both no doubt correlated with fitness, annual temperature variation is suggested to generate and maintain polymorphism in Arctic char in the High Arctic by modifying year-class strength and selecting for variant alleles influencing cold resistance. Intra- and inter-population comparisons imply an additional selection between the two variant EST-2* alleles to operate ontogenetically, with a fixation on the 90 allele in landlocked and resident individuals and the 100 allele in anadromous individuals. The selective mechanism behind the latter processes is unknown. Because of low substrate specificity, however, esterases may form a reserve of adaptive ability towards environmental stress during contrasting conditions.

СЕЗОННАЯ ИЗМЕНЧИВОСТЬ ПОТОКОВ ДИОКСИДА УГЛЕРОДА, ЯВНОГО И СКРЫТОГО ТЕПЛА В СЕВЕРОТАЕЖНОМ ЛИСТВЕННИЧНОМ ЛЕСУ СРЕДНЕЙ СИБИРИ ПО ДАННЫМ ПУЛЬСАЦИОННЫХ ИЗМЕРЕНИЙ

The seasonal and daily variability of sensible and latent heat and carbon dioxide (CO2) fluxes, as well as the sensitivity of the fluxes to changing environmental conditions were derived by the eddy covariance flux measurements in an undisturbed northern-taiga larch forest on continuous permafrost in Central Siberia from the end of May to the end of September in 2013 and 2015. The measurements showed a high seasonal and daily variability of CO2, sensible and latent heat fluxes. It was found that whereas dry and sunny weather conditions of June and July in 2013 and 2015 resulted in lower daily latent heat fluxes as compared to sensible ones, mostly cloudy and rainy weather in the second half of the summer led to the reduced net radiation and increased latent heat fluxes. The daily values of gross primary production from the beginning of June to mid-August in 2013 and 2015 exceeded the values of the ecosystem respiration, and the forest ecosystem was the sink of CO2 from the atmosphere. The maximum CO2 uptake was observed in late June and early July, primarily due to high photosynthesis rates influenced by high incoming solar radiation, optimal air temperature, and soil moisture conditions. Since mid-August, the balance between the CO2 uptake and release was close to zero. The total net ecosystem CO2 exchange during the growing season of 2013 was -76.5 g C/m2, while it was slightly higher (-103.6 g C/m2) during the growing season of 2015, primarily due to higher air temperatures in June and greater precipitation in the summer months of 2015.

Climate signal strength in tree-ring width of spruce growing in the Solovetsky Islands (Russia)

In this study we used 14 spruce tree-ring width local chronologies from sites that are located in different landscape conditions. The climatic response function for the entire period (116 years) shows that all local chronologies without exception have a positive relationship with June temperature (from 0.196 to 0.408) despite quite different local environmental conditions. This finding allowed us to combine all tree-ring width local chronologies into a composite spruce chronology covering the period of 1676–2016 CE with EPS exceeding the 0.85 threshold. The composite chronology was scaled against June air temperatures (CRU TS 4.01) in order to reconstruct it. Monthly air temperature records from the Arkhangelsk weather station were used as an additional source to validate tree-ring based June temperature reconstruction. It is quite remarkable that our reconstruction matches the Archangelsk records not only in the 20th-early 21st centuries but also in the 19th century, confirming the reliability of the reconstruction over more than two centuries. We also used daily records from the nearest Kem’-Port station to identify a more precise target-window. Current research shows that the spruce response to daily temperature is not limited by June, but also extends up to almost half of July. The warmest reconstructed year occurred in 1856 as confirmed by the data published in the local chronicle. The cooling recorded in the historical evidences (describing extremely severe ice conditions in the Arctic seas during the Great Northern Expedition (1733–1743)) was not corroborated by our reconstruction. In the study, we discuss the reasons of the discrepancies found between Solovki June temperature reconstructions and other data such as different seasonality of the compared records, real local climate warming in Solovki, the applied standardization technique, and low of chronologies’ replication. The most reliable part of the reconstruction part lasting from the early 19th to the early 21st centuries is also discussed in terms of its properties like wavelength analyses, and the assessment of influence of volcanic eruptions.

Influence of weather conditions on the yield and quality of spring wheat grain in the forest-steppe of the Middle Volga region

The purpose of the research is to evaluate the influence of weather factors in 2016-2021 on the yield and quality of grain of 18 varieties and 28 lines of spring soft wheat of competitive variety trial in the conditions of forest-steppe of the Middle Volga (Penza region). To characterize the meteorological conditions, the average daily air temperatures, precipitation and hydrothermal coefficient (HTC) were taken. In the analysis of grain quality, the content of protein and gluten in the grain, as well as flour strength, quality indexes of the variety and farinograms of the dough were used. The result of the research stated the negative correlation between the yield and air temperature in June r = -0.518±0.128 («booting» phase), in August it was slightly weaker r = -0.342±0.141. Correlations of the yield with precipitation and HTC were positive. The average significant correlation of the yield was formed with precipitation and HTC in June: r = 0.509±0.130 and r = 0.552±0.126, respectively. A significant negative correlation was found between the yield and protein and gluten content in the grain: r = -0.758±0.098 and r = -0.782±0.094. The content of protein and gluten in the grain were almost functionally dependent on each other – r = 0.945±0.055. A high positive correlation has developed between the content of protein and gluten in the grain with the average daily air temperature in the second half of the growing season in July r = 0.845±0.081 and 0.902±0.065, in August: r = 0.858±0.080 and 0.898±0.075, respectively. Positive weak correlation was found between the yield and flour strength, variety quality indices and dough farinograms (r = 0.354±0.148, 0.402±0.138 and 0.423±0,136), respectively. Precipitation and a high rate of HTC in the second half of the growing season reduced the quality indices of the variety and farinograms of the dough, the strength of the flour. This dependence was characterized by a weak negative relationship: from r = -0.310±0.144 to r = -0.458±0.134. Thus, the formation of yield and quality indicators of grain of spring soft wheat is influenced by the temperature regime and the amount of precipitation in all phases of growth and development of plants.

Spring snow cover duration and tundra greenness in the Lena Delta, Siberia: two decades of MODIS satellite time series (2001–2021)

The Lena Delta in Siberia is the largest delta in the Arctic and as a snow-dominated ecosystem particularly vulnerable to climate change. Using the two decades of MODerate resolution Imaging Spectroradiometer satellite acquisitions, this study investigates interannual and spatial variability of snow-cover duration and summer vegetation vitality in the Lena Delta. We approximated snow by the application of the normalized difference snow index and vegetation greenness by the normalized difference vegetation index (NDVI). We consolidated the analyses by integrating reanalysis products on air temperature from 2001 to 2021, and air temperature, ground temperature, and the date of snow-melt from time-lapse camera (TLC) observations from the Samoylov observatory located in the central delta. We extracted spring snow-cover duration determined by a latitudinal gradient. The ‘regular year’ snow-melt is transgressing from mid-May to late May within a time window of 10 days across the delta. We calculated yearly deviations per grid cell for two defined regions, one for the delta, and one focusing on the central delta. We identified an ensemble of early snow-melt years from 2012 to 2014, with snow-melt already starting in early May, and two late snow-melt years in 2004 and 2017, with snow-melt starting in June. In the times of TLC recording, the years of early and late snow-melt were confirmed. In the three summers after early snow-melt, summer vegetation greenness showed neither positive nor negative deviations. Whereas, vegetation greenness was reduced in 2004 after late snow-melt together with the lowest June monthly air temperature of the time series record. Since 2005, vegetation greenness is rising, with maxima in 2018 and 2021. The NDVI rise since 2018 is preceded by up to 4 °C warmer than average June air temperature. The ongoing operation of satellite missions allows to monitor a wide range of land surface properties and processes that will provide urgently needed data in times when logistical challenges lead to data gaps in land-based observations in the rapidly changing Arctic.

Factorial analysis of taste quality and technological properties of cherry fruits depending on weather factors

The results of researching the fund formation of dry soluble substances, sugars, and titrated acids in cherry fruits of 10 studied varieties under the Southern Steppe Subzone of Ukraine are given. According to the content of biochemical quality indicators, the following varieties were selected: Modnytsya (the content of dry soluble substances is 17.1%), Ozhidaniye (the content of sugars is 11.7%), and Solidarnost (the content of titrated acids is 1.79%). The cherry fruits units. By conducting a two-factor dispersion analysis, the feasibility of forecasting the content of the principal components of the chemical composition (dry soluble substances, sugars, titrated acids) in the cherry fruits was determined by average values and a factor that maximally impacts the accumulation of the studied indicators was identified during the studies. The dominant influence of weather conditions during research years was determined. Therefore, the taste qualities of the cherry fruits were proposed to forecast by average varietal value. The average and strong correlation dependences of influencing 19 weather factors on the content of the studied biochemical indicators in the cherry fruits were determined. The accumulation dependence models of dry soluble substances, sugars, and titrated acids were built based on the principal component and least-squares methods. The first-rank weather indicators with the maximum influence particles were identified for the studied biochemical quality indicators. The average monthly air temperature in June maximally impacted the fund accumulation of dry soluble substances in the cherry fruits (delta = 9.9%), the content of sugars - the average monthly precipitation in June (delta = 8.5%), on the content of titrated acids - the total number of precipitation days in June (delta = 18.62%). At the end of the flowering phase before fruit ripening and in the last month of fruit formation, humidity indicators had the greatest influence on the accumulation of the studied biochemical indicators in the cherry fruits (June).of Melitopol purpura and Modnytsya have maximum indicators of the sugar-acid index in the range of 8.9-9.3 relative

From Intra-plant to Regional Scale: June Temperatures and Regional Climates Directly and Indirectly Control Betula nana Growth in Arctic Alaska

Tundra shrubs reflect climate sensitivities in their growth-ring widths, yet tissue-specific shrub chronologies are poorly studied. Further, the relative importance of regional climate patterns that exert mesoscale precipitation and temperature influences on tundra shrub growth has been explored in only a few Arctic locations. Here, we investigate Betula nana growth-ring chronologies from adjacent dry heath and moist tussock tundra habitats in arctic Alaska in relation to local and regional climate. Mean shrub and five tissue-specific ring width chronologies were analyzed using serial sectioning of above- and below-ground shrub organs, resulting in 30 shrubs per site with 161 and 104 cross sections from dry and moist tundra, respectively. Betula nana growth-ring widths in both habitats were primarily related to June air temperature (1989–2014). The strongest relationships with air temperature were found for ‘Branch2’ chronologies (dry site: r = 0.78, June 16, DOY = 167; moist site: r = 0.75, June 9, DOY = 160). Additionally, below-ground chronologies (‘Root’ and ‘Root2’) from the moist site were positively correlated with daily mean air temperatures in the previous late-June (‘Root2’ chronology: r = 0.57, pDOY = 173). Most tissue-specific chronologies exhibited the strongest correlations with daily mean air temperature during the period between 8 and 20 June. Structural equation modeling indicated that shrub growth is indirectly linked to regional Arctic and Pacific Decadal Oscillation (AO and PDO) climate indices through their relation to summer sea ice extent and air temperature. Strong dependence of Betula nana growth on early growing season temperature indicates a highly coordinated allocation of resources to tissue growth, which might increase its competitive advantage over other shrub species under a rapidly changing Arctic climate.

Towards the Third Millennium Changes in Siberian Triple Tree-Ring Stable Isotopes

Significant air temperature and precipitation changes have occurred since the 2000s in vulnerable Siberian subarctic regions and urged updates of available chronologies towards the third millennium. It is important to better understand recent climatic changes compared to the past decades, centuries and even millennia. In this study, we present the first annually resolved triple tree-ring isotope dataset (δ13C, δ18O and δ2H) for the eastern part of the Taimyr Peninsula (TAY) and northeastern Yakutia (YAK) from 1900 to 2021. We found that the novel and largely unexplored δ2H of larch tree-ring cellulose was linked significantly with δ18O for the YAK site, which was affected by averaged April–June air temperatures and evaporation. Simulated by the Land Surface Processes and Exchanges (LPX-Bern 1.0) model, the water fraction per year for soil depths at 0–20 and 20–30 cm was significantly linked with the new eco-hydrological tree-ring δ2H data. Our results suggest increasing evapotranspiration and response of trees’ water relation to rising thaw water uptake from lower (20–30 cm) soil depth. A positive effect of July air temperature on tree-ring δ18O and a negative impact of July precipitation were found, indicating dry conditions. The δ13C in larch tree-ring cellulose for both sites showed negative correlations with July precipitation and relative humidity, confirming dry environmental conditions towards the third millennium.

Effect of meteorological factors on the radial growth of pine latewood in northern taiga

Abstract The purpose of this study is to evaluate the influence of day and night meteorological parameters (air temperatures and dew points, relative humidity, wind speed and precipitation) on the radial growth of pine latewood in northern taiga, in typical conditions of its growth. The study was conducted in the north of the Arkhangelsk region (Russia). A total of 63 cores were selected from seven most representative sites. Meteorological parameters were obtained from the WMR 918 H digital weather station (Huger GmbH, Germany), located directly on the study area and operating in monitoring mode. The analysis used meteorological data for the period 2008–2015. Correlation with night and day air temperature in June and July (0.72–0.77) was revealed in blueberry type. In all the stands studied, a reliable correlation with wind speed was established, direct (0.77–0.88) and inverse (−0.7 to −0.99), but each sample plot had an individual dependence. A reliable correlation with the humidity of August and September (0.64–0.87) and an inverse correlation with precipitation in May and August (−0.63 to −0.75) were established. In general, pine in blueberry, cowberry and pine on swamp types have a similar reaction to the variability of meteorological factors, the most important of which is the temperature regime of air and wind speed.

Objective and Probabilistic Long-Range Forecasts of Summertime Air Temperatures in South Korea Based on Gaussian Processes

Abstract We propose the objective long-range forecasting model based on Gaussian processes (OLRAF-GP), focusing on summertime near-surface air temperatures in June (1-month lead), July (2-month lead), and August (3-month lead). The predictors were objectively selected based on their relationships with the target variables, either from observations (GP-OBS) or from observations and dynamical climate model results from APEC Climate Center multimodel ensemble (APCC MME) for the period with no observed data (GP-MME). The performances of the OLRAF-GP models were compared with the model with predetermined predictors from observations (GP-PD). Both GP-MME and GP-OBS outperformed GP-PD in June [Heidke skill score (HSS); HSS = 0.46, 0.72, and 0.16 for mean temperature] and July (HSS = 0.53, 0.3, and 0.07 for mean temperature). Furthermore, GP-MME mostly outperformed GP-OBS and GP-PD in August (HSS = 0.52, 0.28, and 0.5, respectively, for mean temperature), implying larger contributions of the additional predictors from MME. OLRAF-GP models, especially GP-MME, are expected to better forecast summertime temperatures in regions where existing models have been struggling. We find that the physical processes associated with the notable predictors are aligned with those in previous studies, such as the attribution of the La Niña conditions in the previous winter, the related Indian Ocean capacitor effect, and the impacts of wintertime Polar/Eurasia pattern. These results imply that the mechanisms of the objectively selected predictors can be physically meaningful, and their inclusion can improve model performance and efficiency. Significance Statements This study aims to improve the long-range probabilistic forecasting of summertime near-surface temperatures for regions where the climate variability is not sufficiently explained by well-known key predictors. We propose objective and probabilistic forecasting models that use objectively selected predictors either from observations or from observations and results of the dynamical climate model. The overall skill scores of the proposed models (overall HSS = 0.33, 0.39) for the case study site of South Korea are higher than the model with predetermined predictors (overall HSS = 0.19). We also find that the mechanisms of the objectively selected predictors can be physically meaningful, and their inclusion can improve model performance and efficiency.

Dinophysis spp. abundance and toxicity events in South Cornwall, U.K.: Interannual variability and environmental drivers at three coastal sites

Dinophysis is a genus of dinoflagellates with the potential to cause diarrhoeic Shellfish Poisoning (DSP) in humans. The lipophilic toxins produced by some species of Dinophysis spp. can accumulate within shellfish flesh even at low cell abundances, and this may result in the closure of a shellfish farm if toxins exceed the recommended upper limit. Over the period 2014 to 2020 inclusive there were several toxic events along the South West coast of U.K. related to Dinophysis spp. The Food Standards Agency (FSA) monitoring programme measure Dinophysis cell abundances and toxin concentration within shellfish flesh around the coasts of England and Wales, but there are few schemes routinely measuring the environmental parameters that may be important drivers for these Harmful Algal Blooms (HABs). This study uses retrospective data from the FSA monitoring at three sites on the south Cornwall coast as well as environmental data from some novel platforms such as coastal WaveRider buoys to investigate potential drivers and explore whether either blooms or toxic events at these sites can be predicted from environmental data. Wind direction was found to be important in determining whether a bloom develops at these sites, and low air temperature in June was associated with low toxicity in the shellfish flesh. Using real time data from local platforms may help shellfish farmers predict future toxic events and minimise financial loss.

Seasonal population dynamics and daily activity of the Liriomyza solani Hering

Goal. To investigate the seasonal dynamics of the abundance and daily activity of the Liriomyza solani Hering to determine the timing of phytosanitary monitoring of regulated pests of the genus Liriomyza.
 Methods. Seasonal dynamics of abundance and daily activity of L. solani Hering adults were studied in 2018 on open ground plots where tomatoes are grown in Uzhgorod district of Transcarpathian region. Panel-type yellow glue traps were used for research. Replacement of traps and determination of the number of caught adults was carried out with an interval of 7—10 days during the entire growing season of plants. Summer activity of L. solani was studied from 6 am to 9 pm.
 Results. The highest numbers of adults were observed in June — July, when 126 and 129 individuals were caught with yellow traps, respectively. At the same time, the average monthly air temperatures in June and July were 20.6°С and 21.6°С, respectively, with an average humidity of 69—67%. We also investigated the features of the seasonal dynamics of summer and the development of the L. solani depending on the rate of accumulation of the sums of effective and active temperatures during the growing season. The study of daily activity showed that there is a dependence of the pest activity on hydrothermal conditions. Thus, a positive correlation was observed between an increase in the number of caught adults and an increase in temperature (r = 0.910) and a negative correlation between a decrease in caught adults and an increase in moisture (r = –0.713).
 Conclusions. The indicators of the sums of active and effective temperatures can serve as predictors for determining the timing of phytosanitary monitoring of agromizids. The temperature range for SAT indicators is 1209.7—3621.7°С, and SET is 486.5—1713.1°С. It has been established that in agrocenoses of open ground the most favorable period of the day for phytosanitary monitoring of pests of the genus Liriomyza is from 9.00 to 15.00 hours, when the activity of adults is greatest.

Reindeer Anthrax in the Russian Arctic, 2016: Climatic Determinants of the Outbreak and Vaccination Effectiveness.

The Yamal Peninsula in the Russian Federation experienced a massive outbreak of anthrax in reindeer (Rangifer tarandus) in July–August 2016, with 2,650 (6.46% of the total susceptible population) animals infected, of which 2,350 died (case fatality rate of 88.67%). In our study, we analyzed climatic and epidemiological factors that could have triggered the outbreak. The cancelation of reindeer vaccination against anthrax in 2007 resulted in an increase in population susceptibility. In response to the outbreak, total vaccination of all susceptible animals was resumed. To assess the vaccination effectiveness, we tested 913 samples of blood serum taken from vaccinated reindeer using an antigenic erythrocyte diagnostic kit to detect specific anti-anthrax antibodies via an indirect hemagglutination assay (IHA) 9 months after vaccination. We found that 814 samples had sufficiently high levels of anti-anthrax antibodies to indicate a protection level of 89% (95% confidence interval: 87–91%) of the whole reindeer population. Abnormally high ambient temperature in the summer of 2016 contributed to the thawing of permafrost and viable Bacillus anthracis spores could have become exposed to the surface; the monthly average air temperatures in June, July, and August 2016 were 20–100% higher than those of the previous 30-year period, while the maximum air temperatures were 16–75% higher. Using the projected climate data for 2081–2100 according to the “worst case” RCP8.5 scenario, we demonstrated that the yearly air temperature may average above 0°C across the entire Yamal Peninsula, while the yearly number of days with a mean temperature above 0°C may rise by 49 ± 6 days, which would provide conditions for reactivation of soil anthrax reservoirs. Our results showed that the outbreak of anthrax occurred under conditions of a significant increase in air temperature in the study area, underlined the importance of vaccination for controlling the epidemic process, and demonstrated the effectiveness of monitoring studies using the IHA diagnostic kit for detecting erythrocyte anthrax antigens.

Određivanje pogodnosti poljoprivrednog zemljišta za uzgoj kukuruza (Zea mays L.) primjenom višerazinske GIS multikriterijske analize

Previous research in continental Croatia indicated that cropland suitability levels are highly variable and existing natural resources could be better utilized. To overcome this issue, a method of multilevel Geographic information system (GIS)-based multicriteria analysis based on Analytic hierarchy process (AHP) for maize cropland suitability determination was proposed and evaluated. Free spatial data and free open-source software were implemented in the research in 250 m spatial resolution. The effects of air temperature, precipitation, soil and topography were modelled with the multilevel approach to avoid inconsistency in pairwise comparison due to criteria count. The maize suitability index (MSI) was calculated using the weighted linear combination, with higher values indicating proportionally higher suitability. According to the results of the AHP method, the weight consistency ratio was lower than the borderline value (0.042 < 0.100). Soil type and mean air temperature in June had the most impact on the suitability result, with 14.3% and 13.6% influence, respectively. The highest MSI values were achieved along the Sava River, especially in the proximity of Sisak and Nova Gradiska, resulting up to 3.9 of the possible 5.0. The sensitivity analysis of criteria indicated precipitation data in May, July and August particularly impactful in continental Croatia, while mean air temperature in September had very low variability of the suitability and was the least impactful on calculated MSI values.

Correlation between productivity and grain quality of spring durum wheat and meteorological factors in the southern forest-steppe of the Western Siberia

The purpose of the current study was to identify the effect of meteorological factors on productivity and grain quality indicators of spring durum wheat in the conditions of Western Siberia. The research was carried out in the FSBSI “Omsk Agricultural Research Center” in 1981-2019. The object of the study was the durum spring wheat variety ‘Almaz', which was tested in the nurseries of the Competitive Variety Testing according to such traits as productivity, nature weight, hardness of grain, protein and gluten percentage, IDK, pasta color. The average productivity through the years of study was 2.51 t/ha, the differences between indicators in the unfavorable (1.54 t/ha) and favorable (3.48 t/ha) years were 1.94 t/ha. The grain nature weight in the years with good humidity was on 22g/l larger than in the arid years, the hardness of grain was on 5% larger. The protein and gluten percentage, the pasta color value was larger in the unfavorable climatic years (on 1.60%, 4.3%, 0.2 points, respectively), compared with favorable ones. There has been found that the productivity was positively associated with the precipitation in May and the 1st decade of July, relative humidity in May and June; there was established a negative correlation with air temperature in June. The nature weight of grain had a negative dependence on precipitation (1st and 2nd decades) and relative humidity in August for all decades. The hardness of grain was positively affected by temperature in May and precipitation in July (1st decade). The protein percentage in grain was negatively affected with precipitation and relative air humidity in May, June and July (1st and 3rd decades). Average daily temperatures in May and July had a positive effect on the protein percentage in grain. The gluten percentage had a positive correlation with the temperature in May and in the third decade of July. A negative dependence of this indicator was established with precipitation in May, June and the 3rd decade of July, with the relative humidity in May, June, July (1st and 3rd decades), August (3rd decade). The pasta color was negatively dependent on precipitation and relative humidity in July (3rd decade) and August (1-2nd decades).