scholarly journals Status and evaluation of soybean varieties against Mungbean Yellow Mosaic (MYMV) disease under changing climatic conditions of Kaymore plateau zone, Madhya Pradesh, India

2018 ◽  
Author(s):  
Kunika Silodia ◽  
Usha Bhale ◽  
MS Bhale
Keyword(s):  
Relative Humidity ◽  
Virus Disease ◽  
Evaluation Studies ◽  
Central India ◽  
Climatic Conditions ◽  
Yellow Mosaic Virus ◽  
Average Temperature ◽  
Mungbean Yellow Mosaic Virus ◽  
Average Relative Humidity ◽  
First Time

For the first time in central India, an epidemic of Mungbean Yellow Mosaic Virus disease transmitted through white flies in soybean at R1-R3 stage was noticed as scattered yellow specks were noticed on upper leaves of soybean variety JS 335 during first week of August 2015 at Research Experimental Fields, JNKVV, Jabalpur. During 31st week (July, 2015), the rainfall (149.40mm, average temperature 26.70C, and average relative humidity 80%, rainfall of 149.0mm) enhanced dramatically the population of whiteflies (from 2-25 flies/leaf) that resulted in the epidemic. At farmer’s field covering 8 villages; the overall incidence was in the range of 53-70%. In seed production units, incidence was in the range of 63.0-70.0% in JS 335, JS 95-60, JS 93-05 and JS 90-41. During first week of August to Ist week of September, the average temperature was 27.77 0 C and relative humidity was 76.5%. Evaluation studies of 28 varieties, under Seed multiplication chain, indicate that most of the varieties exhibited the infection of MYMV (in the range of 40-70%), however, PS 1225 did not exhibit any infection among the same set of environment. Jawahar Soybean (JS 20-69) exhibited infection up to 5% only. Other variety of soybean JS 20-34 exhibited infection upto 40%.

Virus Vector Relationship of Yellow Mosaic Virus and Whitefly, Bemisia tabaci (Gennadius) in Soybean

2021 ◽  
Author(s):  
M. Swathi ◽  
Neeta Gaur ◽  
Kamendra Singh
Keyword(s):  
Mosaic Virus ◽  
Virus Disease ◽  
Management Strategies ◽  
Virus Transmission ◽  
Virus Vector ◽  
Yellow Mosaic Virus ◽  
Starvation Period ◽  
Mungbean Yellow Mosaic Virus ◽  
Biological Relationship ◽  
Relationship Of

Background: Whitefly is one of the most destructive sucking pest in the tropical and subtropical regions of the world and causing significant crop losses directly by sucking sap from the plants and indirectly through the transmission of viral diseases specifically caused by the genus Begomovirus. The Begomovirus species viz., Mungbean yellow mosaic India virus (MYMIV) and Mungbean yellow mosaic virus (MYMV) are causing yellow mosaic virus disease in soybean, which is transmitted by whiteflies. The disease accounts to 30-70 per cent yield loss and increases up to 80 - 100 per cent during severe incidence. Hence, there is a need for development of integrated pest management strategies against disease and whiteflies, for this the knowledge on virus-vector relationship is required. But, the studies on biological relationship of yellow mosaic virus disease and whitefly in soybean are scarce. At this juncture, considering the importance of disease in soybean, the present investigation was carried out to know the virus -vector relationship of the YMV and whitefly in soybean.Methods: The experiment on virus-vector relationship of yellow mosaic virus and whitefly in soybean was conducted at Department of Entomology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand during 2016-17. The data on number of whiteflies per plant, acquisition and inoculation access feeding period and pre and post starvation period required for effective transmission of virus was recorded.Result: A single viruliferous whitefly was able to transmit virus and ten viruliferous whiteflies per plant were required for cent per cent transmission of virus. The minimum acquisition access and inoculation access feeding periods required for virus transmission was 0.25h (15 min) each; while the 100 per cent virus transmission was recorded with acquisition and inoculation period of 12h, each. The per cent transmission was increased with the increase of acquisition and inoculation periods. The rate of transmission was positively correlated with pre-acquisition starvation period and negatively correlated with post- acquisition starvation period.

scholarly journals Karakteristik Pengeringan Biji Jagung (Zea Mays L.) Menggunakan Alat Pengering Surya Adriyarkara Termodifikasi

2018 ◽  
Vol 3 (2) ◽  
pp. 351-360
Author(s):  
Athul Fadhli ◽  
Diswandi Nurba ◽  
Raida Agustina
Keyword(s):  
Zea Mays ◽  
Relative Humidity ◽  
Moisture Content ◽  
Zea Mays L ◽  
Initial Moisture Content ◽  
Solar Irradiation ◽  
Air Velocity ◽  
Drying Time ◽  
Average Temperature ◽  
Average Relative Humidity

Abstrak. Jagung merupakan tanaman penghasil karbohidrat terpenting. Pengeringan jagung pipil menggunakan alat pengering merupakan proses untuk menghasilkan jagung pipil yang siap diolah untuk pembuatan tepung jagung dengan batas kadar air tertentu sehingga menghaslkan jagung pipil dengan kualitas yang baik. Tujuan penelitian ini adalah untuk mengkaji karakteristik pengeringan biji jagung menggunakan alat pengering surya Termodifikasi. Metode penelitian  menggunakan 3,15 kilogram jagung pipil dengan kadar air awal 22% untuk proses pengeringan. Parameter yang dianalisis terkait alat pengering kolektor surya yaitu temperatur, kelembaban relatif, kecepatan udara dan iradiasi surya, sedangkan parameter yang dianalisis terkait bahan yaitu kadar air, lama waktu pengeringan, laju pengeringan dan organoleptik. Prosedur penelitian terdiri dari pengujian kosong dan pengujian dengan menggunakan jagung pipil. Hasil penelitian menunjukkan bahwa temperatur rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 44,4oC, temperatur rata-rata setelah dilakukan modifikasi yaitu 55,5oC dan temperatur rata-rata rak pengering pada pengeringan menggunakan jagung pipil yaitu 46,96oC. Kelembaban relatif rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 40,1%, kelembaban relatif rata-rata dalam rak pengering setelah modifikasi yaitu 35,1% dan kelembaban relatif rata-rata pengeringan menggunakan jagung pipil yaitu 44,45%. Dari hasil pengukuran tersebut menunjukkan bahwa nilai temperatur dan kelembaban pada alat setelah modifikasi lebih baik dibandingkan sebelum alat dimodifikasi. Pengukuran temperatur dan kelembaban relatif terdiri dari 4 titik pengukuran yaitu rak 1A,1B dan rak 2A, 2B. Kecepatan udara rata-rata yang diukur konstan yaitu 0,7 m/s pada ruang pengering, sedangkan lingkungan 1,1 m/s. Total iradiasi surya selama pengeringan yaitu 1848,84 W/m2. Kadar air jagung pipil masing-masing rak yaitu rak 1A 14,29%, rak 1B 14,47%, rak 2A 13,91% dan rak 2B 14,1%. Hasil dari pengujian organoleptik, panelis agak menyukai jagung pipil yang dikeringkan menggunakan alat pengering tersebut.Characteristics of Seed Drying (Zea mays L.) Using a Modified Adriyarkara Solar DryerAbstract. Corn is the most important carbohydrate plant. Drying corn using a drying tool is a process to produce corn that are ready to be processed for making corn flour with a certain water content limit so as to produce corn with good quality. The purpose of this study was to examine the characteristics of drying of corn kernels using a modified solar dryer. The research method used 3,15 kilogram of corn milled with the initial moisture content of 22% for drying process. The parameters analyzed in relation to solar collector dryers are temperature, relative humidity, air velocity and solar irradiation, while the parameters analyzed are materials such as moisture content, drying time, drying rate and organoleptic. The research procedure consists of unloaded testing and testing using corn. The results showed that the average temperature in the dryer tray before modification was 44,4°C, the average temperature after modification was 55,5°C and the average temperature of the dryer tray on drying using corn was 46,96oC. The average relative humidity in the dryer tray before modification is 40,1%, the average relative humidity in the dryer tray after modification is 35,1% and the average relative humidity of drying using corn is 44,45%. From the measurement results show that the value of temperature and humidity in the tool after modification is better than before. Measurement of temperature and relative humidity consist of 4 point of measurement that is tray 1A, 1B and tray 2A, 2B. Average mean air velocity measured is 0,7 m/s at the dryer room, while the environment is 1,1 m/s. Total solar irradiation during drying is 1848,84 W/m2. Moisture level of corn each shelves tray 1A is 14,29%, tray 1B is 14.47%, tray 2A is 13,91% and tray 2B is 14,1%. As a result of organoleptic testing, panelists rather like dried corn using the dryer.

scholarly journals The Effect of Temperature and Humidity May Reduce the Growth Rate of the Coronavirus Disease 2019 Epidemic

2020 ◽  
Author(s):  
Lei Qin ◽  
Qiang Sun ◽  
Jiani Shao ◽  
Yang Chen ◽  
Xiaomei Zhang ◽  
...  
Keyword(s):  
Growth Rate ◽  
Relative Humidity ◽  
Effect Of Temperature ◽  
Average Temperature ◽  
Temperature And Humidity ◽  
Scatter Plots ◽  
Low Humidity ◽  
Average Relative Humidity ◽  
Effects Of Temperature ◽  
The Relationship

Abstract Background: The effects of temperature and humidity on the epidemic growth of coronavirus disease 2019 (COVID-19)remains unclear.Methods: Daily scatter plots between the epidemic growth rate (GR) and average temperature (AT) or average relative humidity (ARH) were presented with curve fitting through the “loess” method. The heterogeneity across days and provinces were calculated to assess the necessity of using a longitudinal model. Fixed effect models with polynomial terms were developed to quantify the relationship between variations in the GR and AT or ARH.Results: An increased AT dramatically reduced the GR when the AT was lower than −5°C, the GR was moderately reduced when the AT ranged from −5°C to 15°C, and the GR increased when the AT exceeded 15°C. An increasedARH increased theGR when the ARH was lower than 72% and reduced theGR when the ARH exceeded 72%.Conclusions: High temperatures and low humidity may reduce the GR of the COVID-19 epidemic. The temperature and humidity curves were not linearly associated with the COVID-19 GR.

EVALUATION OF INDOOR ENVIRONMENT CONDITIONS IN OFFICES LOCATED IN BUILDINGS WITH LARGE GLAZED AREAS

2008 ◽  
Vol 14 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Lina Šeduikytė ◽  
Valdas Paukštys
Keyword(s):  
Relative Humidity ◽  
Field Study ◽  
Indoor Environment ◽  
Subjective Evaluation ◽  
Heating Season ◽  
Dry Skin ◽  
Average Temperature ◽  
Average Relative Humidity ◽  
Indoor Spaces ◽  
Objective And Subjective Evaluation

The field study was carried out during the heating season in two Lithuanian office buildings with large glazed areas. The methodology was prepared for evaluating indoor microclimate parameters while using objective and subjective evaluation. The results show that the average temperature in all tested offices was in the range of optimal zones, but in some offices the average temperature was not in compliance with the recommended temperature for offices. During the subjective evaluation, respondents working in these offices identified complains because of too high temperatures, stuffy air and irritation in eyes. The average relative humidity measured in all tested offices was not in compliance with the optimal requirements. Such SBS symptoms as irritation in eyes, cough and dry skin of the hands were identified as the most frequent symptoms in the second tested building. Main indoor microclimate problems arising in buildings with large glazed areas were related to overheating indoor spaces because of the direct sun and improper ventilation. Santrauka Straipsnyje nagrinėjamos patalpų mikroklimato sąlygos pastatuose esančiuose biuruose, turinčiuose didelius įstiklintus plotus. Didelių skaidrių atitvarų plotų įrengimas pastatuose ne tik didina energijos sąnaudas pastatams šildyti, vėsinti ir orui kondicionuoti, bet ir sukuria mikroklimato sąlygas, kuriose dirbantys žmonės dažnai patiria šiluminį diskomfortą, nors aplinkos parametrai atitinka normų reikalavimus. Natūriniams patalpų mikroklimato tyrimams sukurta patalpų mikroklimato tyrimo metodika, kuri sieja objektyvius ir subjektyvius tyrimo metodus patalpų sąlygoms optimaliai įvertinti. Patalpų mikroklimato sąlygos tiksliausiai įvertinamos pagal patalpų mikroklimato parametrų matavimo, papildyto subjektyvaus mikroklimato sąlygų įvertinimu, apibendrintos analizės rezultatus.

scholarly journals Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Naleen Chaminda Ganegoda ◽  
Karunia Putra Wijaya ◽  
Miracle Amadi ◽  
K. K. W. Hasitha Erandi ◽  
Dipo Aldila
Keyword(s):  
Relative Humidity ◽  
Warning System ◽  
Temporal Correlation ◽  
Social Lives ◽  
Average Temperature ◽  
System A ◽  
Auto Correlation ◽  
Significant Difference ◽  
Average Relative Humidity ◽  
Practical Implications

AbstractCOVID-19 pandemic continues to obstruct social lives and the world economy other than questioning the healthcare capacity of many countries. Weather components recently came to notice as the northern hemisphere was hit by escalated incidence in winter. This study investigated the association between COVID-19 cases and two components, average temperature and relative humidity, in the 16 states of Germany. Three main approaches were carried out in this study, namely temporal correlation, spatial auto-correlation, and clustering-integrated panel regression. It is claimed that the daily COVID-19 cases correlate negatively with the average temperature and positively with the average relative humidity. To extract the spatial auto-correlation, both global Moran’s $${\mathscr {I}}$$ I and global Geary’s $${\mathscr {C}}$$ C were used whereby no significant difference in the results was observed. It is evident that randomness overwhelms the spatial pattern in all the states for most of the observations, except in recent observations where either local clusters or dispersion occurred. This is further supported by Moran’s scatter plot, where states’ dynamics to and fro cold and hot spots are identified, rendering a traveling-related early warning system. A random-effects model was used in the sense of case-weather regression including incidence clustering. Our task is to perceive which ranges of the incidence that are well predicted by the existing weather components rather than seeing which ranges of the weather components predicting the incidence. The proposed clustering-integrated model associated with optimal barriers articulates the data well whereby weather components outperform lag incidence cases in the prediction. Practical implications based on marginal effects follow posterior to model diagnostics.

scholarly journals Spatiotemporal Distribution of Hand, Foot, and Mouth Disease in Guangdong Province, China and Potential Predictors, 2009–2012

2019 ◽  
Vol 16 (7) ◽  
pp. 1191 ◽  
Author(s):  
Yijing Wang ◽  
Yingsi Lai ◽  
Zhicheng Du ◽  
Wangjian Zhang ◽  
Chenyang Feng ◽  
...  
Keyword(s):  
Relative Risk ◽  
Relative Humidity ◽  
Disease Control ◽  
Foot And Mouth Disease ◽  
Guangdong Province ◽  
Average Temperature ◽  
Monthly Average ◽  
Average Rainfall ◽  
Control And Prevention ◽  
Average Relative Humidity

Background: Hand, foot, and mouth disease (HFMD) is a common infectious disease among children. Guangdong Province is one of the most severely affected provinces in south China. This study aims to identify the spatiotemporal distribution characteristics and potential predictors of HFMD in Guangdong Province and provide a theoretical basis for the disease control and prevention. Methods: Case-based HFMD surveillance data from 2009 to 2012 was obtained from the China Center for Disease Control and Prevention (China CDC). The Bayesian spatiotemporal model was used to evaluate the spatiotemporal variations of HFMD and identify the potential association with meteorological and socioeconomic factors. Results: Spatially, areas with higher relative risk (RR) of HFMD tended to be clustered around the Pearl River Delta region (the mid-east of the province). Temporally, we observed that the risk of HFMD peaked from April to July and October to December each year and detected an upward trend between 2009 and 2012. There was positive nonlinear enhancement between spatial and temporal effects, and the distribution of relative risk in space was not fixed, which had an irregular fluctuating trend in each month. The risk of HFMD was significantly associated with monthly average relative humidity (RR: 1.015, 95% CI: 1.006–1.024), monthly average temperature (RR: 1.045, 95% CI: 1.021–1.069), and monthly average rainfall (RR: 1.004, 95% CI: 1.001–1.008), but not significantly associated with average GDP. Conclusions: The risk of HFMD in Guangdong showed significant spatiotemporal heterogeneity. There was spatiotemporal interaction in the relative risk of HFMD. Adding a spatiotemporal interaction term could well explain the change of spatial effect with time, thus increasing the goodness of fit of the model. Meteorological factors, such as monthly average relative humidity, monthly average temperature, and monthly average rainfall, might be the driving factors of HFMD.

scholarly journals Aplikasi Pemantau Suhu dan Kelembaban Udara Berbasis Nuvoton NUC140VE3CN dan Sensor HTU21D

2017 ◽  
Vol 9 (4) ◽  
pp. 422
Author(s):  
Jaenal Arifin ◽  
Arief Hendra Saptadi ◽  
Relesa Anggita Permata T. W
Keyword(s):  
Relative Humidity ◽  
Average Error ◽  
Black Dot ◽  
Processing Application ◽  
Horticultural Crops ◽  
Average Temperature ◽  
Measurement Results ◽  
The Status ◽  
Average Relative Humidity ◽  
Monitoring Application

The parameter of temperature and relative humidity have an important role in the growth and development of horticultural crops. Based on this, monitoring application is designed to use personal computer (PC) as a data viewer of the measurement results. Hence, it allows users to observe these parameters with ease. In this study, Nuvoton NUC140VE3CN performs data processing of temperature and relative humidity from HTU21D sensor, after which the data will be displayed on 128x64 Black Dot Matrix LCD and they are also sent to the PC through serial communication (via FTDI232RL module). These data will be received by user's PC serial port, and be displayed by the Processing application that has been created. From the performed tests, the application had been able to display temperature, relative humidity, time, the status of temperature and relative humidity appropriately as planned. The application is capable to record data and save them in a CSV-formatted file. The status of temperature and relative humidity had been able to indicate optimal or non-optimal condition. The test for measurement accuracy was performed by comparing the readings from HTU21D sensor to referenced analog Thermo-hygrometer. The average temperature obtained from HTU21D sensor is 25.1ºC, while  Thermo-hygrometer results in 25º C. The measurement differences between them are 0.5ºC with average error of 2%. For average relative humidity, the result obtained from HTU21D sensor is 72.1% and it is 65.4% from Thermo-hygrometer . The differences between them are 6.8 % with average error of 10%.

scholarly journals Screening of Mungbean Genotypes against Mungbean Yellow Mosaic Virus Disease

2017 ◽  
Vol 6 (5) ◽  
pp. 1746-1752
Author(s):  
Jay appa ◽  
H.K. Ramappa ◽  
Jabbar Sab ◽  
Chirag Gautam ◽  
B.D Devamani
Keyword(s):  
Mosaic Virus ◽  
Virus Disease ◽  
Yellow Mosaic Virus ◽  
Mungbean Yellow Mosaic Virus

scholarly journals Temperature and relative humidity are not major contributing factor on the occurrence of COVID-19 pandemic: An observational study in 57 countries

2020 ◽  
Author(s):  
Md. Abdus Sobur ◽  
Md. Saiful Islam ◽  
Md. Emdadul Haque ◽  
Md. Taohidul Islam ◽  
Antonio Toniolo ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Linear Regression ◽  
Polynomial Regression ◽  
Linear Regression Analysis ◽  
Climatic Conditions ◽  
Control Measures ◽  
Quadratic Term ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

AbstractThe world searching for hope has already experienced a huge loss of lives due to COVID-19 caused by SARS-CoV-2 started in Wuhan, China. There are speculations that climatic conditions can slowdown the transmission of COVID-19. Findings from the early outbreak indicated the possible association of air temperature and relative humidity in COVID-19 occurrence in China. Current study focused on whether climatic conditions(temperature and relative humidity)are having any influence in the occurrence of COVID-19 when the outbreak has been classified as pandemic. To determine the effect of daily average temperature and average relative humidity on log-transformed total daily cases of COVID-19, polynomial regression as a quadratic term and linear regression were done. Linear regression analysis was also carried out to explore the same effect on selected countries. Present study observed no correlation between the climatic conditions (the daily average temperature and relative humidity) and the number of cases of COVID-19. Similar result was found in relation between daily average temperature and average number of cases per day in country-wise analysis. However, about 93.5% cases of COVID-19 occurred between 1°C to 16°C and the average number of cases per day was lower in high temperature country than low temperature country with exceptions. The minimum effect of summer temperature may not be effective to control the pandemic rather need to apply the control measures of COVID-19.

Sign in / Sign up

Export Citation Format

Share Document