scholarly journals THE STUDY OF POPULATION DYNAMICS OF ECOLOGICAL GROUPS OF MICROORGANISMS EPIPHYTIC MICROBIOTA STELLARIA MEDIA AND URTICA DIOICA

Ekosistemy ◽  
2021 ◽  
pp. 22-29
Author(s):  
E. Z. Lapkina ◽  
E. E. Saveleva ◽  
L. S. Tyrranen ◽  
N.A. Bulgakova
Keyword(s):  
Root Zone ◽  
Weather Conditions ◽  
Urtica Dioica ◽  
Ecological Groups ◽  
Stellaria Media ◽  
Total Strength ◽  
Flowering Phase ◽  
Basal Zone ◽  
Microbial Complex ◽  
Favorable Weather

The dynamics of the strength of the epiphytic microbiota of the root zone and phyllosphere of the Stellaria media and Urtica dioica in the vegetation phase of plants (seedlings, flowering, fruiting) was studied. The data on the strength of microorganisms of ecotrophic groups are presented: ammonifying bacteria using mineral forms of nitrogen, bacteria of the Escherichia coli group, micromycetes and bacteria in the spore stage. It was determined that the medium-sized microbiota of the Stellaria media is more strengthen than the Urtica dioica, which is probably due to the morphoanatomical features of plants and the metabolites produced. The microbiota of the rhizosphere of plants of the Stellaria media and Urtica dioica is much more strength than the phyllosphere due to the root exudates of plants that provide food for microorganisms. The dynamics of the microbiota of the rhizosphere reflects the unequal level of metabolite production by plants in different phases of vegetation. The total strength of aerobic bacteria that metabolize organic nitrogen in the basal zone of Stellaria media increases in the flowering phase, and in the basal zone of Urtica dioica – in the phase of seedlings.The greatest strength of microscopic fungi during the flowering phase of Stellaria media is probably associated with the production of metabolites by plants and favorable weather conditions for the development of micromycetes. Micromycetes belong to the following genera: Trichoderma, Penicillium, Fusarium, Botrytis, Mucor, Aspergillus, Cladosporium. The strength of phyllosphere microorganisms varies according to the stages of plant vegetation. The Stellaria media and the Urtica dioica have a specific microbial complex, both in the aboveground and underground parts, which varies during the growing season and differs in a certain ratio of ecological and trophic groups of microorganisms.

scholarly journals Models and applications for risk assessment and prediction of Asian soybean rust epidemics

2006 ◽  
Vol 31 (6) ◽  
pp. 533-544 ◽  
Author(s):  
Emerson M. Del Ponte ◽  
Cláudia V. Godoy ◽  
Marcelo G. Canteri ◽  
Erlei M. Reis ◽  
X.B. Yang
Keyword(s):  
Disease Modeling ◽  
Weather Conditions ◽  
Epidemiological Studies ◽  
Soybean Rust ◽  
Phakopsora Pachyrhizi ◽  
Spatial And Temporal Scales ◽  
Asian Soybean Rust ◽  
New Development ◽  
Glycine Max L ◽  
Favorable Weather

Asian rust of soybean [Glycine max (L.) Merril] is one of the most important fungal diseases of this crop worldwide. The recent introduction of Phakopsora pachyrhizi Syd. & P. Syd in the Americas represents a major threat to soybean production in the main growing regions, and significant losses have already been reported. P. pachyrhizi is extremely aggressive under favorable weather conditions, causing rapid plant defoliation. Epidemiological studies, under both controlled and natural environmental conditions, have been done for several decades with the aim of elucidating factors that affect the disease cycle as a basis for disease modeling. The recent spread of Asian soybean rust to major production regions in the world has promoted new development, testing and application of mathematical models to assess the risk and predict the disease. These efforts have included the integration of new data, epidemiological knowledge, statistical methods, and advances in computer simulation to develop models and systems with different spatial and temporal scales, objectives and audience. In this review, we present a comprehensive discussion on the models and systems that have been tested to predict and assess the risk of Asian soybean rust. Limitations, uncertainties and challenges for modelers are also discussed.

scholarly journals Influence of hydrothermal conditions on the productivity of perennial grasses in South Steppe of Ukraine

2019 ◽  
pp. 27-36 ◽  
Author(s):  
V. F. Petrychenko ◽  
L. K. Antypova ◽  
N. V. Tsurkan
Keyword(s):  
Weather Conditions ◽  
Bromus Inermis ◽  
Perennial Grasses ◽  
Hydrothermal Conditions ◽  
Green Mass ◽  
Melilotus Albus ◽  
Perennial Legume ◽  
Favorable Weather ◽  
Perennial Legumes ◽  
Similar Yield

The purpose is to determine the productivity of perennial legume and cereal grasses under conditions of natural moisture supply in South Steppe of Ukraine. Method. The studies were conducted during 2016—2018 using conventional methods, and the output of feed units, digestible protein per unit of area was determined by reference books. Results. On average over three years of research, the highest yield of leaf-stem mass of cereals was formed by Bromus inermis and Elytrigia medium tender – 11.6 and 11.2 t/ha, respectively. The lowest yield was formed by Agropyrum pectiniforme – 7.6 t/ha. Among the all legume grasses, Melilotus albus prevailed (14.8 t/ha). Medicago sativa and Onobrychis arenaria were able to form a similar yield (14.5 and 13.5 t/ha, respectively) under the arid conditions of South Steppe of Ukraine. Insufficient rainfall in 2017 caused a decrease in the productivity of the studied crops. Thus, in 2017 the average yield of green mass in the experiment was 10.3 t/ha, while in 2016 under more favorable weather conditions this figure was 13.2 t/ha or 28.2 % more. The highest output of feed and protein units (FPU) per unit of area under cereal grasses was provided by Bromus inermis (2.35 t/ha). The lowest one was recorded in Agropyrum pectiniforme (1.60 t/ha). FPU output per unit of area under legume grasses increased respectively. Lotus corniculatus provides less green mass and therefore dry matter and forage and protein units. Perennial cereals grasses do not prevail over legume grasses, so they do not spread in South Ukraine. Conclusions. The productivity of perennial grasses in the south of Ukraine significantly depends on the type of plants, weather (hydrothermal) conditions of the year. The most effective is the cultivation of perennial legumes, namely Melilotus albus, alfalfa, Onobrychis arenaria. Bromus inermis and Elytrigia medium prevail among cereal grasses.

Studying Driving Behavior on Horizontal Curves using Naturalistic Driving Study Data

2018 ◽  
Vol 2672 (17) ◽  
pp. 83-95 ◽  
Author(s):  
Bashar Dhahir ◽  
Yasser Hassan
Keyword(s):  
Data Collection ◽  
Weather Conditions ◽  
Driving Behavior ◽  
Study Data ◽  
Output Analysis ◽  
Horizontal Curves ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
Design Consistency ◽  
Favorable Weather

Many studies have been conducted to develop models to predict speed and driver comfort thresholds on horizontal curves, and to evaluate design consistency. The approaches used to develop these models differ from one another in data collection, data processing, assumptions, and analysis. However, some issues might be associated with the data collection that can affect the reliability of collected data and developed models. In addition, analysis of speed behavior on the assumption that vehicles traverse horizontal curves at a constant speed is far from actual driving behavior. Using the Naturalistic Driving Study (NDS) database can help overcome problems associated with data collection. This paper aimed at using NDS data to investigate driving behavior on horizontal curves in terms of speed, longitudinal acceleration, and comfort threshold. The NDS data were valuable in providing clear insight on drivers’ behavior during daytime and favorable weather conditions. A methodology was developed to evaluate driver behavior and was coded in Matlab. Sensitivity analysis was performed to recommend values for the parameters that can affect the output. Analysis of the drivers’ speed behavior and comfort threshold highlighted several issues that describe how drivers traverse horizontal curves that need to be considered in horizontal curve design and consistency evaluation.

Near Optimal Receding Horizon Control of Thermal Energy Storage

2021 ◽  
pp. 1-13
Author(s):  
Omer Ahmed Qureshi ◽  
Peter R. Armstrong
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Savings ◽  
Search Algorithm ◽  
Cost Savings ◽  
Weather Conditions ◽  
Receding Horizon Control ◽  
Receding Horizon ◽  
Favorable Weather

Abstract Efficient plant operation can be achieved by properly loading and sequencing available chillers to charge and discharge a thermal energy storage (TES) reservoir at optimal rates and times. TES charging sequences are often determined by heuristic rules that typically aim to reduce utility costs under time of use rates. However, such rules of thumb may result in significantly sub optimal performance on somedays. Rigorous optimization, on the other hand, is computationally expensive and can be unreliable as well if not carefully implemented. Receding Horizon Control (RHC) using the novel finite search algorithm is reliable and can reach ~80% of achievable energy efficiency and/or peak shifting capacity has been our target. A novel algorithm is developed to reliably achieve near optimal control for charging the stratified sensible cool storage reservoir of a chiller plant. The algorithm provides a constant COP (or cost per ton-hour) for 24-hr dispatch plan under which chillers operate during most favorable weather conditions. Analysis of four hot climates, ranging from humid to dry, indicates 2.4~2.6% energy savings under a flat electricity rate relative to the same plant operating without TES. Annual cost savings from 6% to 9% was found for electricity billed under a simple (10am-10pm) time-of-use rate with no demand charge and no ratchet component.

Long-term experiments aimed at improving tillage practices

2010 ◽  
Vol 58 (Supplement 1) ◽  
pp. 75-81 ◽  
Author(s):  
M. Birkás
Keyword(s):  
Soil Quality ◽  
Crop Production ◽  
Root Zone ◽  
Material Balance ◽  
Weather Conditions ◽  
Quality Factors ◽  
Surface Protection ◽  
Tillage Practices ◽  
Climate Stress

The Crop Production Institute of Szent István University carried out soil quality trials in the region of Gödöllő between 1977 and 2002, followed by similar experiments near the town of Hatvan since 2002. Soil quality factors that can be improved by tillage include the looseness of the root zone, the depth of the loosened layer, the duration of the loosened state, the thickness of the compact layer impeding water transport, the soil structure, the level of surface protection, the water intake/water loss balance, the organic material balance and earthworm activity. Optimising these factors can help reduce climate stress, so that extreme weather conditions do not undermine the reliability of farming. Most of the tillage methods elaborated on the basis of the findings of the trials, with the aim of alleviating climate stress, differ from conventional recommendations.

Correlation Technique for Estimating Traffic Speed from Cameras

2003 ◽  
Vol 1855 (1) ◽  
pp. 66-73 ◽  
Author(s):  
Todd N. Schoepflin ◽  
Daniel J. Dailey
Keyword(s):  
Coordinate System ◽  
Weather Conditions ◽  
Dimensional Subspace ◽  
Correlation Technique ◽  
Camera Model ◽  
One Dimensional ◽  
Congested Traffic ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Favorable Weather

A new algorithm is presented for estimating speed from roadside cameras in uncongested traffic, congested traffic, favorable weather conditions, and adverse weather conditions. Individual vehicle lanes are identified and horizontal vehicle features are emphasized by using a gradient operator. The features are projected into a one-dimensional subspace and transformed into a linear coordinate system by using a simple camera model. A correlation technique is used to summarize the movement of features through a group of images and estimate mean speed for each lane of vehicles.

Observing atmospheric HCN on Titan from space and ground-based observatories: an inter-comparison study from Herschel, APEX and IRAM 30m telescopes

2020 ◽  
Author(s):  
Miriam Rengel ◽  
Denis Shulyak ◽  
Paul Hartogh ◽  
Hideo Sagawa ◽  
Raphael Moreno ◽  
...  
Keyword(s):  
Solar System ◽  
Weather Conditions ◽  
Mixing Ratio ◽  
Comparison Study ◽  
Space Observatory ◽  
Heterodyne Receiver ◽  
Heterodyne Spectroscopy ◽  
Receiver Array ◽  
Solar System Bodies ◽  
Favorable Weather

<p>In support of the Herschel Space Observatory and in the framework of the program “Water and Related Chemistry in the Solar System” [1], hydrogen cyanide (HCN) on Titan was observed from ground at submillimetre wavelengths. We carried submm heterodyne spectroscopy observations of HCN (4-3) at 345.5 GHz with the Atacama Pathfinder Experiment (APEX) and the APEX-2 heterodyne receiver, and of HCN (3-2) at 265.9 GHz with the Institut de radioastronomie millimétrique (IRAM) 30-m telescope (IRAM 30m) and the Heterodyne Receiver Array (HERA) receiver in Titan atmosphere. Observations were carried out on June 16, 2010, and March 19, 2011, under non-favorable and favorable weather conditions, respectively. We report here the APEX and IRAM 30m observations, and by using a line-by-line radiative transfer code and the least-squares fitting technique, the analysis to infer the HCN abundance. Our HCN mixing-ratio estimations confirm the result of Marten et al. (2002) [2]. We compare our results with the those with Herschel/PACS and SPIRE acquired during 2010 [3,4]. Measured HCN abundances on Titan with data acquired at different epochs and transitions exhibit similar abundance distributions. Beyond the intrinsic scientific interest, these observations proven their usefulness in supporting spacecraft observations of Solar System bodies, in particular, of Titan’s atmosphere.</p> <p>[1] Hartogh, P.; Lellouch, E.; Crovisier, J., et al. 2009, Planetary and Space Science, Volume 57, Issue 13, p. 1596-1606. [2]  Marten, A.; Hidayat, T.; Biraud, Y. et al.  Icarus, 2002, Volume 158, Issue 2, p. 532-544. [3]  Rengel, M.; Sagawa, H.; Hartogh, P., et al. 2014, A&A, 561. [4]  Courtin, R., Swinyard, B. M., Moreno, R., et al. 2011, A&A, 536, L2.</p>

Influence of fertilizers on rewintering and productivity of winter wheat of a grade "Kazan 560"

10.12737/3830 ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. 135-138
Author(s):  
Сабирова ◽  
Razina Sabirova ◽  
Шакиров ◽  
Rafil Shakirov
Keyword(s):  
Winter Wheat ◽  
Ammonium Nitrate ◽  
Seed Treatment ◽  
Weather Conditions ◽  
Target Level ◽  
High Nitrogen Content ◽  
High Nitrogen ◽  
Nitrate Fertilizer ◽  
Sowing Seed ◽  
Favorable Weather

The paper discusses the issues of fertilizers effect on germination, plant productivity and overwintering of Kazanskaya 560 variety winter wheat. The results showed that pre-sowing seed treatment by Humate fertilizer “Bioplant Floro” calculated 0.5 liters per ton increases the seed germination to 4-5%, the accumulation of sugars in the tillering nodes of winter wheat to 10-11%, and the safety of overwintering plants to cleaning to 5-10%. The calculated fertilizer norms allow to get close to planned levels of crop during favorable weather conditions. Treating the seeds by “Bioplant Flora”, the yield exceeded the target level (4.1 tons per hectare instead of planned 4 tons per hectare of grain). An application NPK and ammonium nitrate as an ordinal fertilizer at planting provides almost the same level of productivity of the main fertilizers, calculated to produce 3 tons per hectare. It is undesirable to use ammonium nitrate fertilizer on winter wheat as ordinal, especially after steam cleaner with a high nitrogen content. This can reduce its winter hardiness quality. Good results are obtained by using nitrate in the doze 1 centner per hectare in bulk

scholarly journals Climate Change Adaptation Strategies Among Cereal Farmers in Kwara State, Nigeria

2021 ◽  
pp. 509-522
Author(s):  
S. A. Aderinoye-Abdulwahab ◽  
T. A. Abdulbaki
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Weather Conditions ◽  
Agricultural Activities ◽  
Early Planting ◽  
Weather And Climate ◽  
Favorable Weather ◽  
Agricultural Areas ◽  
Livestock Rearing ◽  
Climate Change Adaptation Strategies

AbstractAgriculture is the art and science of food production which spans soil cultivation, crop growing, and livestock rearing. Over the years, it has served as a means of employment and accounts for more than one-third of total gross domestic product. Cereals, which include rice, maize, and sorghum, are the major dietary energy suppliers and they provide significant amounts of protein, minerals (potassium and calcium), and vitamins (vitamin A and C). The growth and good yield of cereal crop can be greatly influenced by elements of weather and climate such as temperature, sunlight, and relative humidity. While climate determines the choice of what plant to cultivate and how to cultivate, it has been undoubtedly identified as one of the fundamental factors that determine both crop cultivation and livestock keeping. The chapter, though theoretical, adopted Kwara State, Nigeria, as the focus due to favorable weather conditions that support grains production. It was observed that the effect of climate change on cereal production includes: drastic reduction in grains production, reduction in farmers’ profit level, increment in cost during production, diversification to nonfarming activities, and discouragement of youth from participating in agricultural activities. Also, the adopted coping strategies employed by farmers in the focus site were early planting, planting of improved variety, irrigation activities, alternates crop rotation, and cultivation of more agricultural areas. The chapter thus concluded that climate change has negative impact on cereals production and recommends that government should provide communal irrigation facilities that will cushion the effect of low rains on farmers’ productivity, while early planting and cultivation of drought-resistant cultivars should be encouraged.

scholarly journals UTICAJ SORTE I MIKROBIOLOŠKIH PREPARATA NA BROJ I MASU NODULA KOD ORGANSKE PROIZVODNJE PASULJA

2021 ◽  
Author(s):  
Gordana Dozet ◽  
◽  
Vojin Đukic ◽  
Zlatica Miladinov Mamlic ◽  
Nenad Đuric ◽  
...  
Keyword(s):  
Root Nodule ◽  
Positive Impact ◽  
Weather Conditions ◽  
Organic Production ◽  
Nodule Number ◽  
Bean Root ◽  
Sowing Seed ◽  
Favorable Weather ◽  
The Impact ◽  
Insignificant Correlation

Three-year research, in the impact of microbial preparations and Gunatito on bean-root-nodule number and mass in organic production, was published. The highest nodule number and mass was in the year with a more favorable weather conditions, with a higher humidity. The lowest nodule number was in the method with a direct Tiffi application on the pre-sowing seed, whereas the lowest nodule mass was in the control variety. A positive insignificant correlation was determined between nodule number and mass, and yield. Nodulation was variety dependant. EM application 7 days before sowing, and the combination of Guanito before sowing with EM in flowering, showed a positive impact on nodule number and mass.

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