scholarly journals Isolation of entomopathogenic nematodes in an apple orchard in Southern Brazil and its virulence to Anastrepha fraterculus (Diptera: Tephritidae) larvae, under laboratory conditions

2017 ◽  
Vol 77 (1) ◽  
pp. 22-28 ◽  
Author(s):  
E. Foelkel ◽  
M. Voss ◽  
L. B. Monteiro ◽  
G. Nishimura
Keyword(s):  
Entomopathogenic Nematodes ◽  
Abiotic Factors ◽  
Integrated Control ◽  
Weather Conditions ◽  
Apple Orchard ◽  
Soil Samples ◽  
Similar Frequency ◽  
Promising Alternative ◽  
Climate Conditions ◽  
Anastrepha Fraterculus

Abstract Entomopathogenic nematodes (EPNs) are a promising alternative to integrated control in many fruit pests. Few studies were made on the relationship of Anastrepha fraterculus natural population with native EPNs population and other biotic and abiotic factors. The aim of this work was to verify the occurrence of endemic nematodes in an apple orchard, concerning environmental conditions and technical procedure, and access isolates virulence to A. fraterculus larvae. The experiment was conducted during a year taking monthly soil samples from an apple orchard, with and without fallen fruits just above the soil. Samples were baited with Tenebrium molitor and A. fraterculus larvae in laboratory. Canopy and fallen fruits were sampled to access the pest infestation. Seventy three EPN isolates were captured, in 23.2% soil samples, more with T. molitor than with A. fraterculus baits. From the 20 isolates tested against A. fraterculus, only five were pathogenic, and they were identified as Oscheius sp. The nematodes were captured during all seasons in a similar frequency. Soil and weather conditions, presence of fruit over the orchard soil, and A. fraterculus pupae in the fruits had no significant influence on the capture. As a conclusion, nematodes of the genera Oscheius are found in an apple orchard of Porto Amazonas constantly along the year, independently of fluctuations in A. fraterculus population, climate conditions and presence of fruit over the soil. Some of the isolates are pathogenic to A. fraterculus.

Prospects of spring wheat cultivation in the conditions of arid Volga region

2020 ◽  
pp. 28-33
Author(s):  
Valery Genadievich Popov ◽  
Andrey Vladimirovich Panfilov ◽  
Yuriy Vyacheslavovich Bondarenko ◽  
Konstantin Mikhailovich Doronin ◽  
Evgeny Nikolaevih Martynov ◽  
...  
Keyword(s):  
Spring Wheat ◽  
Soil Layer ◽  
Weather Conditions ◽  
Volga Region ◽  
Mineral Fertilizers ◽  
Climate Conditions ◽  
Wheat Cultivation ◽  
Forest Belts ◽  
Clear Differentiation ◽  
The Impact

The article analyzes the experience of the impact of the system of forest belts and mineral fertilizers on the yield of spring wheat, including on irrigated lands. Vegetation irrigation is designed to maintain the humidity of the active soil layer from germination to maturation at the lower level of the optimum-70-75%, and in the phases of tubulation-earing - flowering - 75-80% NV. However, due to the large differences in zones and microzones of soil and climate conditions and due to the weather conditions of individual years, wheat irrigation regimes require a clear differentiation. In the Volga region in the dry autumn rainfalls give the norm of 800-1000 m3/ha, and in saline soils – 1000-1300 and 3-4 vegetation irrigation at tillering, phases of booting, earing and grain formation the norm 600-650 m3/ha. the impact of the system of forest belts, mineral fertilizers on the yield of spring wheat is closely tied to the formation of microclimate at different distances from forest edges.

scholarly journals Performance Evaluation of Neural Network-Based Short-Term Solar Irradiation Forecasts

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3030
Author(s):  
Simon Liebermann ◽  
Jung-Sup Um ◽  
YoungSeok Hwang ◽  
Stephan Schlüter
Keyword(s):  
Neural Network ◽  
Goodness Of Fit ◽  
Renewable Energy Sources ◽  
Weather Conditions ◽  
Solar Irradiation ◽  
Weather Data ◽  
Short Term ◽  
Climate Conditions ◽  
Lstm Network ◽  
The Time Domain

Due to the globally increasing share of renewable energy sources like wind and solar power, precise forecasts for weather data are becoming more and more important. To compute such forecasts numerous authors apply neural networks (NN), whereby models became ever more complex recently. Using solar irradiation as an example, we verify if this additional complexity is required in terms of forecasting precision. Different NN models, namely the long-short term (LSTM) neural network, a convolutional neural network (CNN), and combinations of both are benchmarked against each other. The naive forecast is included as a baseline. Various locations across Europe are tested to analyze the models’ performance under different climate conditions. Forecasts up to 24 h in advance are generated and compared using different goodness of fit (GoF) measures. Besides, errors are analyzed in the time domain. As expected, the error of all models increases with rising forecasting horizon. Over all test stations it shows that combining an LSTM network with a CNN yields the best performance. However, regarding the chosen GoF measures, differences to the alternative approaches are fairly small. The hybrid model’s advantage lies not in the improved GoF but in its versatility: contrary to an LSTM or a CNN, it produces good results under all tested weather conditions.

THE EFFECT OF SOD TYPE ON THE OCCURRENCE OF GROUND BEETLES (COLEOPTERA: CARABIDAE) IN A PEST MANAGEMENT APPLE ORCHARD

1984 ◽  
Vol 116 (2) ◽  
pp. 165-171 ◽  
Author(s):  
N. J. Holliday ◽  
E. A. C. Hagley
Keyword(s):  
Pest Management ◽  
Pitfall Trap ◽  
Common Species ◽  
Ground Beetles ◽  
Apple Orchard ◽  
Soil Samples ◽  
Soil Sampling ◽  
Pitfall Trapping ◽  
Before And After ◽  
Trap Catches

AbstractThe effects on carabids of natural, fescue, and rye sod types and of tillage were investigated in a pest management apple orchard. Carabids were sampled before and after the treatments by pitfall trapping and by two types of soil sampling. There were no significant effects of sod type on pitfall trap catches; however the abundance of all common species in soil samples was significantly affected by sod types. Usually in soil samples carabids were most abundant in natural sod and least abundant in tilled plots; numbers were intermediate in fescue and rye. Sod type did not affect structure or diversity of the carabid fauna.

Modern pollen-vegetation-climate relationships and pollen productivity estimates for common East Siberian taxa

2021 ◽  
Author(s):  
Rongwei Geng ◽  
Andrei Andreev ◽  
Stefan Kruse ◽  
Yan Zhao ◽  
Ulrike Herzschuh ◽  
...  
Keyword(s):  
Field Survey ◽  
Source Area ◽  
Soil Samples ◽  
Lake Surface ◽  
East Siberia ◽  
Climate Conditions ◽  
Modern Pollen ◽  
Pollen Productivity ◽  
Paleoclimate Reconstructions ◽  
R Value

<p>East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and vegetation under the extremely cold and dry climate conditions. These relationships are the basis of paleovegetation and paleoclimate reconstructions from fossil pollen records. Pollen productivity estimates (PPE) are required for reliable pollen-based quantitative vegetation reconstructions. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface sediment samples collected from Chukotka and Yakutia. Generally, tundra and taiga vegetation sites can be well distinguished in the surface pollen assemblages from East Siberia. Moss/soil and lake samples have mostly similar pollen assemblages but contents of some pollen taxa may vary significantly in different sample types. We classified drone images based on field survey to obtain high-resolute vegetation data. Pollen counts in moss/soil samples and vegetation data can? be used in the Extended R-Value (ERV) model to estimate the relevant source area of pollen (RSAP) and the PPEs of major plant taxa. The result of PPE calculation for most common taxa (Alnus, Betula, Cyperaceae, Ericaceae, Larix, Pinus and Salix) can be used to improve vegetation reconstructions.</p>

scholarly journals Isolation of entomopathogenic nematodes in the west region of Santa Catarina, Brazil

2020 ◽  
Vol 87 ◽  
Author(s):  
Dannyelle Cristine Orsolin de Morais ◽  
Marco Aurélio Tramontin ◽  
Vanessa Andaló
Keyword(s):  
Entomopathogenic Nematodes ◽  
Riparian Forest ◽  
Lolium Multiflorum ◽  
Soil Samples ◽  
Pennisetum Purpureum ◽  
Native Forest ◽  
Potential Candidate ◽  
Santa Catarina ◽  
Pasture Area ◽  
The City

ABSTRACT: Entomopathogenic nematodes (EPNs) are potential candidate for integrated pest management programs. As little is known about the presence of these organisms in the state of Santa Catarina, it was aimed to perform soil sampling in the cities of Chapecó, Palmitos, Seara and Concordia for the isolation of EPNs. In total, 200 samples (100 g soil) were collected. In Chapecó, 40 samples from soil containing green manure (Raphanus sativus), five samples from native forest area and five samples from riparian forest were collected. In the city of Palmitos, 40 soil samples were obtained in the areas of soybean (Glycine max), corn (Zea mays), oats (Avena strigosa), and pasture (Pennisetum purpureum), and in each location 10 samples were taken. Sixty soil samples were collected in the city of Concordia, in a pasture area (A. strigosa). In Seara, the 50 soil samples were collected at a pasture consortium site between ryegrass (Lolium multiflorum) and black oats (A. strigosa). For the isolation, the collected soil samples were conditioned in 350 mL plastic containers and sent to the laboratory of the university. Later, four larvae of Tenebrio molitor of last instar were inserted, and the sets were maintained at the temperature of 25°C for seven days. After this period, the presence of dead larvae was verified, and the confirmation of the mortality by EPNs was evaluated using of White’s trap. The positive samples for EPNs were obtained from the cities of Chapecó and Concordia, which corresponded to 2% of the total soil samples.

scholarly journals Spatial variability and its scale dependency of observed and modeled soil moisture under different climate conditions

2012 ◽  
Vol 9 (9) ◽  
pp. 10245-10276 ◽  
Author(s):  
B. Li ◽  
M. Rodell
Keyword(s):  
Soil Moisture ◽  
Spatial Variability ◽  
Warm Season ◽  
Weather Conditions ◽  
Data Sets ◽  
Scale Dependency ◽  
Convex Shape ◽  
Climate Conditions ◽  
Spatial Moments

Abstract. Past studies on soil moisture spatial variability have been mainly conducted in catchment scales where soil moisture is often sampled over a short time period. Because of limited climate and weather conditions, the observed soil moisture often exhibited smaller dynamic ranges which prevented the complete revelation of soil moisture spatial variability as a function of mean soil moisture. In this study, spatial statistics (mean, spatial variability and skewness) of in situ soil moisture measurements (from a continuously monitored network across the US), modeled and satellite retrieved soil moisture obtained in a warm season (198 days) were examined at large extent scales (>100 km) over three different climate regions. The investigation on in situ measurements revealed that their spatial moments strongly depend on climates, with distinct mean, spatial variability and skewness observed in each climate zone. In addition, an upward convex shape, which was revealed in several smaller scale studies, was observed for the relationship between spatial variability of in situ soil moisture and its spatial mean across dry, intermediate, and wet climates. These climate specific features were vaguely or partially observable in modeled and satellite retrieved soil moisture estimates, which is attributed to the fact that these two data sets do not have climate specific and seasonal sensitive mean soil moisture values, in addition to lack of dynamic ranges. From the point measurements to satellite retrievals, soil moisture spatial variability decreased in each climate region. The three data sources all followed the power law in the scale dependency of spatial variability, with coarser resolution data showing stronger scale dependency than finer ones. The main findings from this study are: (1) the statistical distribution of soil moisture depends on spatial mean soil moisture values and thus need to be derived locally within any given area; (2) the boundedness of soil moisture plays a pivoting role in the dependency of soil moisture spatial variability/skewness on its mean (and thus climate conditions); (3) the scale dependency of soil moisture spatial variability changes with climate conditions.

scholarly journals Biological activity of entomopathogenic nematodes on Anastrepha fraterculus (Diptera: Tephritidae)

2021 ◽  
Vol 37 ◽  
pp. e37047
Author(s):  
Sandra Mara Chaneiko ◽  
Andressa Lima de Brida ◽  
Daniel Bernardi ◽  
Luis Garrigós Leite ◽  
Flávio Roberto Mello Garcia
Keyword(s):  
Biological Control ◽  
Biological Activity ◽  
Maximum Concentration ◽  
Entomopathogenic Nematodes ◽  
Steinernema Carpocapsae ◽  
Steinernema Feltiae ◽  
Anastrepha Fraterculus ◽  
Pupal Mortality ◽  
Control Tool

Anastrepha fraterculus (Wiedemann) is one of the main pests of fruit farming, and entomopathogenic nematodes (EPNs) represent an important control tool of this species. Thus, the objective of this study was to evaluate the biological activity of different isolate against A. fraterculus larvae and adults. Bioassays were performed using a suspension of three isolates of Heterorhabditis amazonensis IBCB 24, Steinernema carpocapsae IBCB 02 and Steinernema feltiae IBCB 47 at six concentrations (control - without nematodes), 50, 150, 300, 500, 1000 and 1500 infective juveniles (IJs)/mL of water per 3º instar larvae. It was verified the susceptibility of larvae of A. fraterculus to isolates of EPNs and a significant increase of the pupal mortality in the function of the concentration of IJs inoculated by larva (above 75%). After the dissection of pupae and adults of A. fraterculus from infected larvae, the concentration of 1500 IJs/mL of EPNs provided the highest rate of multiplication of IJs by insect, equating to maximum concentration tested 1500 IJs/mL. Adults of A. fraterculus from larvae infected with EPNs longevity of five days, being less than adults from uninfected larvae by IJs (135 days). H. amazonensis IBCB 24, S. carpocapsae IBCB 02, and S. feltiae IBCB 47 proved to be promising as agents of biological control of A. fraterculus.

scholarly journals Survey of entomopathogenic nematodes and fungi in agricultural areas

2020 ◽  
Vol 56 (No. 3) ◽  
pp. 214-225
Author(s):  
Magdalena Dzięgielewska ◽  
Iwona Adamska
Keyword(s):  
Entomopathogenic Nematodes ◽  
Plant Protection ◽  
Abiotic Factors ◽  
Field Studies ◽  
Natural Resistance ◽  
Steinernema Feltiae ◽  
Practical Applications ◽  
Taxonomic Groups ◽  
The Right ◽  
Biological Methods

In 2016-2018, in north-western Poland, field studies were carried out on the coexistence of various taxonomic groups, such as soil nematodes and fungi, including beneficial species that comprise the environment’s natural resistance to pests in agrocenoses. The research aimed to find a connection between select biotic and abiotic factors in the chosen crops which could have practical applications in plant protection. Entomopathogenic nematodes Steinernema feltiae Filipiev, 1934 and entomopathogenic fungi Cordyceps fumosorosea and Metarhizium anisopliae (Metschn.) Sorokin were found to be present in all studied agrocenoses; however, they showed clear preferences for some types of crops or soil. The research shows that the effectiveness of the biological methods of plant protection depends on the selection of the right biopreparations, which strengthen the local populations of the beneficial organisms present in specific agriculture areas.

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