Average Daily Temperature Research Articles

Raphanus sativus L. and its determination of planting dates based on seed germination in different ecological environments of Uzbekistan

In this article, the main research conducted on the Raphanus sativus plant, in particular, which countries and scientific organizations of the world are the leaders for learning about this plant, based on the results obtained, the information on the publication of articles in various journals in the Scopus database is analyzed. According to the analysis, China and the United States are the leaders in conducting research with the Raphanus sativus L. and the University of Western Australia conducts the most research among scientific organizations. There are more than 520 articles based on Raphanus sativus L. plant research in various journals in Scopus, and among them, Agricultural and Biological Sciences journal is the leader in the number of articles, among the researchers, Li. Y has the highest result in publishing many articles is shown to record. Also, temperature dependence of daikon seed germination was studied in field and laboratory conditions, and according to the results of the study, 20-30 0C is the most favorable temperature for germination, daikon plant can be grown in 4 ecological zones of Uzbekistan. It has been shown that the average daily temperature for seed germination should not be higher than 30 0C when planted as a second crop in the summer season.

Yield of different onion varieties depending on the level of mineral nutrition and growth regulators in the conditions of the Southern Forest-steppe of the Republic of Bashkortostan

The purpose of research was to determine the peculiarities of the action of Epin-extra, NPK+Epin-extra, Heteroauxin, NPK+Heteroauxin on the yield and chemical composition of onions in the conditions of the southern forest-steppe zone of the Republic of Bashkortostan. The novelty of the research comprises because for the first time in the conditions of the southern forest-steppe zone of the Republic of Bashkortostan the experiments with the participation of a new variety of Bashkirian selection - Iglinsky 2. Onion yield of the studied varieties Strigunovsky local, Red Baron and Iglinsky 2 in variants with different nutrition backgrounds was higher than in the control by 0.64-9.34 tonnes/ha. The amount of dry matter in varieties Strigunovsky local and Red Baron was higher than normal in all nutrition backgrounds. The maximum yield of onion was formed in Iglinsky 2 variety on the background of Heteroauxin application - 60.5 tonnes/ha or 116.57% in comparison with the control. The presence of weak negative correlation between yield and average daily temperature regime (r = -0.276) was established. A positive correlation between yield, precipitation sum (r = 0.481) and Heteroauxin (r = 0.470) was found. We can use the research results in cultivation of onion in the Republic of Bashkortostan and the Russian Federation, is of interest for foreign researchers-breeders.

Abortion and Lethal Septicaemia in Sows Caused by a Non‐ST194 Streptococcus equi subsp. zooepidemicus

Outbreaks of zoonotic Streptococcus equi subsp. zooepidemicus (SEZ) have caused severe epidemics in the pig sector since the 1970s in Southeastern Asia, China, and more recently North America. Cases of high mortality caused by peracute septicaemia were all attributed to strains of a highly virulent clonal lineage belonging to the sequence type (ST) 194. In Europe, only two outbreaks have been reported with similar features, caused by other sequence types. In August 2023, a febrile disease followed by abortion and subsequent death was observed among sows kept in a small‐scale organic pig farm in West Hungary. Symptoms, pathological lesions, and microbiological findings were suggestive of septicaemia from bacterial origin caused by SEZ. According to the results of the routine laboratory testing, no other relevant infectious agents were involved. Whole‐genome sequence analysis assigned the examined strains to ST138, unrelated to any of the European isolates. It also revealed a few common SEZ virulence genes, compared to the highly virulent ST194 strains. A sudden weather change and subsequent extremely high average daily temperature before the outbreak could be identified as the only predisposing factor. The immediate antibiotic treatment and applied biosecurity measures might have helped to restrict and terminate the outbreak. To our knowledge, this is the first report on abortion and lethal septicaemia in sows from Central and Eastern Europe. The results call attention to the potential of non‐ST194 SEZ strains to cause outbreaks in pig farms.

Temperature Dependence of the Breeding Parametres of the Collared Flycatcher (Passeriformes, Muscicapidae) in the National Park Homilshanski Lisy (NE Ukraine)

The breeding phenology of Collared Flycatchers was studied over an 11-year period (2006‒2011 and 2013‒2017) in oak-maple-lime stands located in the Northern-East of Ukraine (in the National Park Homilshanski Lisy). In most years, egg laying began in the first and second ten-day periods of May. The earliest recorded first-egg date (368 broods) was 23 April, while the latest was 5 May. These dates varied from year to year. The relationship between the first-egg date and the date of daily average temperature transition through + 10 °C suggests that birds bred earlier due to warmer local temperatures. The clutch size was negatively correlated with the date of the average air temperature transition through + 5 °C. The earliest hatching date was 15 May, and the latest was 25 May. Fledging typically began in the first half of June. The breeding season’s length ranged from 30 to 42 days, and the breeding cycle was positively correlated with the transition of the average daily temperature through +5 °C. To determine which factors explained the first egg date and clutch size, Generalized Linear Models (GLMs) were conducted. GLMs suggest a correlation between the first-egg date and the sum of effective temperatures (∑T150), arrival date temperature, migration route temperature, and average temperature of the third decade of April. Clutch size is determined by the sum of effective temperature accumulation (∑130) and migration route temperature. Reproductive success is negatively correlated with the average of 30 daily temperatures until the median date.

Математические модели прогнозирования температуры и осадков с использованием фрактального и фурье-анализа метеорологических рядов

The article presents a methodology for constructing statistical models that can be used to predict the temperature regime and precipitation for the upcoming month. Temperature and precipitation are predicted on a two-element scale (high or low parameter value). Within the framework of the considered examples, it was found that temperature is predicted better than precipitation, and recently the accuracy of forecasts tends to increase. The article also provides a detailed analysis of the model parameters, including their change in the annual cycle, trends in the dynamics of change over the past 80 years, and the correlation between climatic parameters. Along with the basic statistical functions of climatic indicators, the models contain fractal parameters (fractal index) and parameters of the discrete Fourier transform (amplitude and phase of the first harmonic). It was found that the fractal indices of monthly series of average daily temperatures is lower than those for monthly series containing daily temperature values.

Биотехнические показатели товарного выращивания красноклешневого рака в прудовой аквакультуре в условиях юга России

Work was carried out on commercial cultivation of the australian red-clawed crayfish Cherax quadricarinatus in the pond aquaculture of the Astrakhan region in the summer-autumn period of 2021 and 2022. During the exper-iment, young crayfish were studied, formed in 5 groups in accordance with the initial average weight of 0.17, 0.18, 1.8, 5.1 and 7.8 g and cultivated in ponds with an area of 0.1 hectares each. The duration of cultivation was 62-99 days, depending on the groups under consideration. During the work, the main size and mass characteristics of cancers in each group were determined, linear growth, weight gain, bio-mass, survival, overall cancer productivity, and the yield of marketable products were calculated. Also, the hydrochemical parameters of the environment and the feed base of the ponds were monitored, the values of which characterized the condition of the ponds as satisfactory for the cultivation of crayfish. The average daily water temperature during the work period was in the range of 24.0-25.0 ºC on average. It is determined that the optimal period of cultivation of ARCC under natural temperatures should be at least 3 months. The average weight of young crayfish planted in ponds for cultivation can be 0.2-8.0 g, depending on the tasks set: obtaining a larger number of crayfish within an average weight of 40 g, obtaining a smaller number, but larger individuals (60-80 g). It is most effective to plant juveniles of an average weight of at least 2 g in ponds. Cultivation of early ARCC juveniles in ponds in the South of Russia to produce commercial cancers is less effective, but it is possible due to the highest yield of commercial products per hectare of area among the groups of cancers under consideration. The hydrochemical regime of reservoirs must meet the biological requirements of the species. The condition of ponds, and in particular, the rapid development of aquatic vegetation in the water column during cultivation can significantly reduce the natural cancer productivity of reservoirs.

RESULTS OF MODELLING OF SNOW WATER EQUIVALENT WITH USING MODSNOW MODEL IN ESIL RIVER MANAGEMENT BASIN

The article presents the results of modeling of snow water equivalent using the V03 module of the MODSNOW model, based on the empirical modeling method, for the territory of the Esil water management basin for 1980…2021 periods. The multi-year period was divided into two equal parts: 1980...1999 for model calibration, 2000...2021 for model validation. For this purpose, 20 meteorological stations located in the section of the water management basin, which have continuous input daily data of average daily air temperature, precipitation, snow cover height and ten-day data of snow water equivalent, were selected. The results of model calibration and validation for reproducibility were evaluated by Nash-Sutcliffe, RSR, and PBIAS criteria. Good reproducibility of modeled snow water equivalent at the meteorological stations Blagoveshenka, Balkashino, Sergeevka, Stepnogorsk, Yavlenka, Bulayevo was revealed; for these stations the results corresponded to the «good» reproducibility rating. It is concluded that the model for these stations can be used for short, medium- and long-term forecasting of snow water equivalent.

Building smallholder-adapted climate-resilient systems: Evidence from China's apple farms

Climate change affects crop production globally, and cash crops are particularly vulnerable, which may threaten human livelihoods. However, limited attention has been paid to building climate-resilient systems, especially for smallholders producing cash crops such as apples, which account for 13% of the global fruit consumption. In this study, we developed a smallholder-adapted climate-resilient system (SA-CRS) conceptual framework and applied this in an empirical assessment of the adaptation of smallholder apple farmers (SAFs) to the risk of low temperature during flowering (LTF) in China. The results show that average daily minimum temperatures have decreased by 1.77 °C, and the LTF hazard probability has increased by 6.1% from 1999 to 2018. Approximately 96.4% of the SAFs in the study regions reported LTF impacts in 2018, and 29.8% experienced apple yield losses averaging 16.43 t/ha. Notably, most SAFs in the Loess Plateau region with poor SA-CRS reported apple yield reduction. Such adverse effects lowered economic returns and further prevented SAFs from adopting adaptive measures, resulting in a vicious circle. By contrast, an effective SA-CRS in the Bohai Bay region has greatly reduced the risks, and a positive economic return further incentivizes the adoption of further adaptive measures, creating a virtuous circle. Our study showed that to achieve an effective SA-CRS, a market-oriented nexus approach is required that integrates an institutional price-enhancing mechanism (contributing 84% to smallholder decision-making), an organizational production-support system, and a public extension system tailored to the needs of SAFs.

Korean Wooden Architectural Heritages at An Increased Risk of Termite Damage due to Temperature Change

Wooden architectural heritages in Korea have been severely damaged by termites, and this damage is expected to increase owing to climate change. This study aimed to evaluate the changes in termite damage risk due to climate change specifically in Korean wooden architectural heritages. A multiple regression equation was developed to estimate the daily average temperature from the location information (latitude, longitude, and elevation) for 40 years (1980-2019). The location information of 106 nationally designated wooden architectural heritages distributed across 84 cities was used to estimate the daily mean temperature of each cultural heritages. Referring to a previous study on the ecological characteristics of <i>R. speratus</i>, a dominant termite species in Korea, the temperature at which termite activity is possible was confirmed, and the amount of wood consumed in relation to the temperature change was estimated. Based on this, the number of days available for termite activity and the amount of termite wood intake in the 1980s, 1990s, 2000s, and 2010s were estimated. Consequently, we found that the number of active days for termites increased from 243 to 249, 251, and 253 days in each decade. The wood consumption rate also increased by 9.9% over 40 years, from 6,657 to 6,777, 7,008, and 7,314 μg/ worker/year, respectively. This study was the first to estimate the activity period and wood intake of termites in Korea’s wooden architectural heritages, thereby providing valuable information for the preservation and management of these wooden heritages.

Increased ambient outdoor temperatures are associated with increased disease flaring in hidradenitis suppurativa.

Despite evidence to suggest a relationship between time of year and hidradenitis suppurativa (HS) flaring, no studies have been conducted to date to establish a relationship directly between temperature and flaring. In this study, we aim to validate a classification approach based on administrative data for identifying medical encounters that likely represent HS flares in patient with a known diagnosis of HS within the Mass General Brigham Health System (MGB) and examine the relationship between average daily temperatures and HS disease flaring among patients in Boston. This is a retrospective cohort study. Participants were individuals with HS presenting to emergency departments or dermatology outpatient clinics with disease flares between January 2017 and January 2022. The average number of encounters for HS flares was compared with the temperature for that day and the 3- and 7-day periods prior. There were 2567 patient encounters for HS flares included in the study. Of the total identified HS flares, 75.6% occurred in females and 39.1% occurred in patients who identified as Black. Uniformly small but statistically significant relationships were noted between increased temperature and presentations for hidradenitis suppurativa flare with the highest correlation coefficient (0.0768) noted with a 3-day lag time between the heat experienced and day of presentation for flare. Increased temperature is associated with a small, but statistically significant increase in HS disease flaring. As such, HS disease flaring may rise as global temperatures do, suggesting an increase in the global burden of HS as climate change persists.

Drowning incidents in urban rivers: An underestimated issue with future challenges in need of an interdisciplinary database to characterise its epidemiology

In recent decades, the recreational use of urban rivers has become popular, and public access to riverbanks has improved. However, in the context of global warming, the risk of drowning in urban rivers may increase. The objective of this study is to examine drownings in the Rhone and Saone rivers in Lyon (France) and to identify risk factors, hot spots and high-risk moments using an environmental database.A total of 386 fatal and non-fatal drownings occurred in Lyon on the Rhone and Saone rivers between 2015 and 2021. The analyses identify that, universally, most drowning victims are men (68 %) and young adults (37 %). More drownings occur in the summer period (45 %). There are also hot spots near the city centre and in urban river parks. Three types of drownings are characterised by using principal component analysis (PCA) and hierarchical clustering on principal components (HCPC) methods. These groups are distinguished by hydrological and meteorological conditions, as well as by the seasonality and circumstances of the incident. The first group (G1) corresponds to drownings that occur on cold winter days, with high water flows and turbidity. The second group (G2) corresponds to drownings that resulted from bridge jumping in a festive context or a challenge between friends. These drownings occur on autumn days with interesting hydrological conditions (low flow and clear water). The last group (G3) groups together drownings that occurred while a victim is swimming in an unsupervised area. These drownings occur during the summer on very hot days. Finally, a multiple logistic regression method showed that the average daily outdoor temperature was positively correlated with the occurrence of drowning in Lyon (p < 0.05) and that daily rainfall was negatively correlated with the occurrence of drowning (p < 0.05).

Air temperature changes due to altitude above sea level in the Northern Ural Mountains

The research is devoted to an urgent modern problem: the identification of temperature factors that limit the distribution and survival of plants in the mountainous conditions of the Northern Urals. The article’s aim is to determine the air temperature in four altitudinal zones of the southern part of the Northern Urals (Sverdlovsk region 59º30´N, 59º15´E) and to identify regression relationships of the obtained temperature data with control temperature data from the nearest meteorological station. Registration of air temperatures was carried out from May to September 2019 around the clock, every two hours in the mountain forest zone (at an altitude of 460 and 640 m above sea level) under the canopy of Siberian stone pine forests, in the zone of subalpine woodlands with elements of mountain forest tundra (820 m above sea level) and on a plateau in the mountain tundra zone (1030 m above sea level). It has been established that the change in air temperature at different altitude levels and at the nearest meteorological station (far from 60 km, at an altitude of 202 m above sea level) occurs relatively synchronously. Difference between average daily temperatures at altitudes of 460, 640, 820 and 1030 m above sea level and the control data of the meteorological station is 2.2, 3.0, 4.7 and 5.1ºC respectively. For all altitude levels, a reliable close straight-line relationship between average daily air temperatures and meteorological station data has been established. The altitudes of 460, 640, 820 and 1030 m above sea level correspond to the coefficients of determination ( R 2) equal to 0.96, 0.95, 0.92 and 0.88. The relationship of the minimum temperatures of the corresponding altitude levels with the control data is also quite high ( R 2 is not lower than 0.7). With the help of the identified relationships and the obtained regression equations, it is possible to retrospectively restore the dynamics of the thermal regime according to the meteorological station data for mountain habitats of different altitudes in the southern part of the Northern Urals over a long period. Including extreme critical temperatures, which act as factors limiting the resettlement and survival of plants and determine the ecosystem biodiversity.

Study of the soybean varieties quantitative traits variability in the Central Non-Chernozem Earth Region conditions

In the experiments, the formation of the yield of new early-ripening soybean varieties Georgiy, Slavyanka and Snezhana under the conditions of the Central Non-Chernozem Region was studied and an assessment was made of the influence of hydrothermal conditions on the variability and conjugation of soybean agronomic traits. Field experiments were carried out in 2020-2022. at the Institute of Seed Production and Agrotechnologies, a branch of the FGBNU FNAC VIM (Ryazan region), located in the forest-steppe agro-climatic zone of the Non-Chernozem zone of the Russian Federation. The soil is dark gray forest, heavy loamy in granulometric composition, of medium fertility (humus content - 4.54%), with an average content of exchangeable potassium and mobile phosphorus. Through correlation analysis, a significant positive relationship was established between the duration of the growing season and the HTC (r = 0.916 + 0.09), with the average daily temperature in August (r = 0.896 + 0.04). The height of plants and the height of attachment of the lower bean in the varietal section changed to an average degree (V = 7.96-21.38%). The greatest variability over the years was noted for the number of beans (V=31.92%) and the weight of seeds per plant (V=38.03%). The weight of 1000 seeds changed the least during the years of the study (V = 8.54-13.38%). The yield of the studied varieties is directly related to the number of beans and seeds per plant, and has no significant relationship with the height of the plant. The results of the research were used in the development of varietal technologies for the cultivation of soybeans in the conditions of the Ryazan region.

Modern changes in climatic characteristics and minimum flow of the rivers in the basin of lake Sevan

Formulation of the problem. Studies and data on modern changes in the winter minimum average monthly flow of the rivers of the Lake Sevan basin and their climatic characteristics have acquired great practical importance and considerable interest due to the increased use of water resources for the purposes of various types of economic activities, in particular, in connection with the development of the economy, hydropower, irrigation, population growth and rising living standards. Especially relevant are the calculations of the minimum flow in relation to solving the problems of water supply for settlements, industrial enterprises. The aim of the work. Assessment of modern changes in the winter minimum average monthly runoff of rivers in the Lake Sevan basin and their climatic characteristics. Methods. The following methods were used in the work: mathematical-statistical, extrapolation, interpolation, spatial analysis, analogy, correlation and cartography. Results. A physical map has been compiled with a network of meteorological stations and hydrological posts in the Lake Sevan basin. Close correlations were obtained between the values of the winter minimum average monthly runoff and the average runoff of the winter period for a hydrological year. These dependences can be used for preliminary estimates of the minimum runoff of the winter low-water period of unstudied rivers in the territory under consideration. In the course of the research, the winter minimum average monthly discharges were calculated by months and for the entire observation period, the average value of the minimum runoff for the winter low water, and the linear trend of the climatic characteristic. Based on the obtained results, a map of the distribution of the modul of the average minimum runoff of the winter low-water period and the coefficients of the linear trend of the winter air temperature were constructed. Examples of curves of long-term changes in precipitation amounts for the autumn and winter periods, the sum of positive temperatures and the number of days with a positive average daily air temperature in the winter period for a series of meteorological stations in the study area are presented. The rivers of the Lake Sevan basin are characterized by an uneven spatio-temporal distribution of winter minimum runoff and climatic characteristics, changes in the winter average monthly minimum runoff, precipitation amounts for the autumn and winter periods are multidirectional, and air temperature changes are only an upward trend. In the area under consideration, there is mainly (by 8 out of 12 stations under study) a tendency to decrease in the values of the minimum average monthly river flow. The conducted studies lead us to the conclusion that the main factor causing changes in the low-water runoff of the rivers in the Lake Sevan basin in winter is the air temperature, or rather, its increase. It follows from this that when calculating and forecasting winter runoff, it is necessary to relate the values of runoff and air temperature.

Seasonal and Inter-Annual Variability of Water Temperature in Petrozavodsk Bay of Lake Onega

Abstract—Based on year-round measurements of water temperature at an autonomous station (an anchored chain equipped with temperature sensors), the features of the temperature and ice regimes of the Petrozavodsk Bay of Onega Lake in modern climatic conditions were studied; the dates and duration of the main hydrological phenomena in the water area of the bay were specified. In the abnormally warm winter of 2019–2020, the water area of the Petrozavodsk Bay was not completely covered with ice for the first time in a long period of observations; in the area of the measurement station, ice fields were observed from late January to mid-March. The duration of ice-covered period in the next two winters was 3.5 and 5 months. Data were obtained on the timing of the onset and duration of the spring under-ice convection, a phenomenon that plays an important role in the thermal regime of the lake at the end of winter. It is shown that 2016, 2021 and 2022 spring under-ice convective mixing lasted 4–6.5 weeks, covering the entire water column by the end of ice period. Mixing of the water column after breaking the ice (spring homothermy) continued for another 3–4 weeks. In the spring of 2020, under-ice convection was not observed; spring overturn continued for two months from mid-March to mid-May. The dates of the upward transition of water temperature through 4°C in the years of measurements (5–19 May) were ahead of the long-term average by 2–3 weeks (end of May). Thermal stratification was established from 12 to 27 May and existed for 3–3.5 months. Complete mixing of the water mass of the bay took place in late August–early September, and then, until ice settling, the water column cooled in a state of homothermy. Immediately before ice formation, the water temperature dropped to very low values and did not exceed 0.1°С in the water column. The period with an average daily water temperature of the surface layer of the Petrozavodsk Bay above 10°C lasted from 121 to 144 days during the years of measurements.

Thermal performance of wedge pile slab foundation without frost protection insulation and highly insulated slab on ground floor – first year measurements

In the Nordic countries frost insulation is necessary if the foundation is above the frost-free depth. The thermal performance of the pile foundations is between a shallow ground foundation and a frost wall foundation. The pile ends extend below the frost line to help insulate the ground beneath a building’s foundation. The ends of the piles extend below the frost line to prevent the foundation of the building from frost heaving. However, there may be a risk that the ground below the slab on ground may freeze and frost heaving may occur there. The risk of frost below the slab on ground floor and/or basement increases because increasing thickness of floor insulation remarkable influences frost insulation dimensioning. In this study a 6.5 × 17-meter size uninsulated wedge pile slab foundation with highly insulated (U=0.07 W/(m2·K)) slab on ground floor was constructed for a heated building and equipped with temperature, soil moisture, relative humidity, and heat flux sensors. Seven temperature measurement piles below the building and one for reference 8 meters far from the building reached a depth of up to 3.2 meters, which is deeper than the usual 1.4 m depth to avoid freezing in foundation design. In three places, the temperature below the insulation of slab on the ground is measured at 0.5 meters step up to 3 meters from the outer wall of the building. The first-year measurement results showed that temperature did not drop below the zero degree below the foundation and floor. Even though during winter the daily average absolute minimum temperature was -24 °C the sum of degree hours below the zero degree was -7300 °Ch. The historic 50-year absolute sum of minimum degree hours below the zero degree was -28600 °Ch. In addition to real measurement results this three-dimensional temperature sensor field helps to calibrate and validate dynamic model for temperature simulation of thermal performance of wedge pile slab foundation without frost protection insulation and highly insulated slab on ground floor.

수동음향모니터링 방법을 이용한 긴꼬리딱새 Terpsiphone atrocaudata의 소리 빈도 연구

We tried to study the song frequency of Black paradise flycatcher and from May 1 to June 30, 2023, we got songs using songmeter at 15 sites in Geoje, Hallyeohaesang National Park. As a result, the Black paradise flycatcher was first recorded on May 10. The song frequency during the daily was the most frequent at 06:00, and the song frequency was the most active during the mid-June period. The correlation between song frequency and weather factors was analyzed. There was a positive correlation with the daily average temperature, and a negative correlation was found with precipitation and relative humidity factors. This study is meaningful in that it presents the criteria for the timing of the Black paradise flycatcher survey.

Microclimate Characteristics in Mangrove Forest Areas in Padang City

Mangrove forest microclimate is the climatic conditions that occur in mangrove forests. The research aims to determine the conditions and characteristics of the microclimate (air temperature, air humidity and light intensity) in the mangrove forest area. The research location was chosen in the Taluak Buo mangrove forest area because the conditions and characteristics of the microclimate are not yet known. The data used is prime data obtained from direct measurements in the field. Measurements of several weather elements were carried out three times, namely in the morning (07.00-08.00 WIB), in the noon (12.00-13.00 WIB), and in the afternoon (17.00-18.00 WIB) for 7 days at three observation points using an anemometer instrument. The results obtained from this research in the Taluak Buo mangrove forest area in the Bungus Teluk Kabung sub-district are an average daily air temperature of 26.94°C in the forest, 27.94°C at the position on the edge of the forest and 28.6°C at outside the forest. The average difference in air temperature between inside the forest and outside the forest is between 1,22-2,14°C. On the other hand, the difference in air humidity is 5-6%. The average difference in sunlight intensity between inside the forest and outside the forest is between 3.923,44-22,462,66 lux. The air temperature and intensity of sunlight inside the forest is lower than at the edge and outside the forest, which is inversely proportional to the higher air humidity inside the forest.

Assessing space and time changes in daily maximum temperature in the Ebro basin (Spain) using model‐based statistical tools

AbstractThere is continuing interest in the investigation of change in temperature over space and time. For this analysis, we offer statistical tools to illuminate changes temporally, at desired temporal resolution, and spatially, using data generated from suitable space–time models. The proposed tools can be used with the output from any suitable model fitted to any set of spatially referenced time series data. The tools to assess space and time changes include spatial surfaces of probabilities and spatial extents for events defined by exceeding a threshold. The spatial surfaces capture the spatial variation in the probability or risk of an exceedance event, while the spatial extents capture the expected proportion of incidence of an event for a region of interest. This approach is used analyse the changes in daily maximum temperature in an inland Mediterranean region (NE of Spain) in the period 1956–2015. The area is very heterogeneous in orography and climate, including the central Ebro valley and part of the Pyrenees. We use a collection of daily temperature series obtained from simulation under a Bayesian daily temperature model fitted to 18 stations in that area. The results for the summer period show that, although there is an increasing risk in all the events used to quantify the effects of climate change, it is not spatially homogeneous, with the largest increase arising in the centre of the Ebro valley and the Eastern Pyrenees area. The risk of an increase in the average daily maximum temperature from 1966–1975 to 2006–2015 higher than 1°C is higher than 0.5 over all of the region, and close to 1 in the previous areas. The extent of daily maximum temperature higher than the reference mean has increased 3.5% per decade. The mean of the extent indicates that 95% of the area under study has suffered a positive increment of the average temperature, and almost 70% an increment higher than 1°C.

Screening of onion (Allium cepa) genotypes to find out novel resistant source against purple blotch (Alternaria porri)

Purple blotch caused by Alternaria porri (Ellis) Cif., 1930 causes huge losses to bulb crop and seed crop of onion (Allium cepa L.). This is a major disease affecting successful onion production in majority of the onion growing areas. To identify resistant source against purple blotch, 34 onion genotypes with good marketable yield based on field evaluation trial in 2017 and allied species Pusa Soumya were screened under protected conditions during kharif, 2018 at insect proof net house facility of ICAR-Indian Agricultural Research Institute, New Delhi. The pure culture of Alternaria porri, isolated from infected leaf samples of onion crop raised under natural epiphytotic conditions during kharif, 2017. Highest change of disease severity index was observed between 1–2 weeks post inoculation (WPI) while highest disease severity index was recorded at 5 WPI suggesting that preventive measures must be employed as soon as disease symptoms appear in the field. The disease severity index ranged from 0.10–33.33 at 1 WPI, which increased to 9.33–89.33 at 5 WPI. The cultivated allied species Pusa Soumya was identified as novel resistance source with DSI value less than 10.0% at 5 WPI. Four genotypes exhibited moderately susceptible reaction, while 20 genotypes were susceptible and 10 genotypes were highly susceptible. The area under disease progress curve (AUDPC) value ranged from 22.33–240.17. Pusa Soumya had the lowest value and among onion lines Arka Kirtiman was found promising. Three onion genotypes had low relative AUDPC value and can effectively be utilized in resistance breeding programme. The average daily temperature between 20–25°C and relative humidity above 75% was found ideal for disease development.