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    Wyświetlanie 1-6 z 6
    Tytuł:
    A study on mango (Mangifera indica L.) trunk decay by Phellinus gilvus (Schw.) Pat. from Himachal Pradesh, India
    Autorzy:
    Gautam, A.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/11654.pdf
    Data publikacji:
    2014
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    mango
    Mangifera indica
    fruit plant
    tree trunk
    rot decay
    Phellinus gilvus
    fungi
    pathogenic fungi
    India
    Opis:
    A severe white rot decay of a very old mango (Mangifera indica L.) tree trunk was observed form Himachal Pradesh, a hilly state of north India. The initial of decaying symptoms were firstly noticed in 2010 which progressed with destructive tissue death of tree trunk. A spongy, sessile, bracket-fungus was found associated with the decay. Morphological and microscopic examination of the collected specimens confirmed the fungus as Phellinus gilvus (Schw.) Pat. Since, P. gilvus is a saprobic fungus having a wide host range worldwide and M. indica is one of the most attacked hosts in India. Therefore, the present report is an important addition to the existing knowledge which will be helpful in understanding the pathogen diversity and interaction with host.
    Źródło:
    International Letters of Natural Sciences; 2014, 06
    2300-9675
    Pojawia się w:
    International Letters of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    First report of Nigrospora sphaerica causing leaf spots on Celtis austalis from Himachal Pradesh, India
    Autorzy:
    Gautam, A.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/11391.pdf
    Data publikacji:
    2015
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Opis:
    Nigrospora sphaerica collected on living leaves of Celtis australis L. (Cannabaceae) from Himachal Pradesh, India is a new host record. Symptoms of the disease on leaves appeared in the form of small, circular to irregular, brown - coloured spots surrounded by a yellow zone. The fungus isolated was identified as Nigrospora sphaerica (Sacc.) E.W. Mason, on the basis of cultural and morphological characters. The fungus is described and illustrated.
    Źródło:
    International Letters of Natural Sciences; 2015, 40
    2300-9675
    Pojawia się w:
    International Letters of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    First report of leaf spot disease of Aloe vera caused by Fusarium proliferatum in India
    Autorzy:
    Avasthi, S.
    Gautam, A.K.
    Bhadauria, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/66778.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    plant disease
    leaf spot disease
    Aloe vera
    Fusarium proliferatum
    pathogenicity
    India
    Opis:
    Severe leaf spot disease was observed on Aloe vera plants in the winters of 2011 and 2012 during a survey of various nurseries of Gwalior, India. Irregular, sunken, dark creamish brown spots having reddish brown margin were noticed on both surfaces of the leaves. The causal organism was consistently isolated from symptomatic leaves on potato dextrose agar media (PDA). A total 59 isolates of fungi were recovered from diseased A. vera leaves, and 37 isolates were identified as belonging to the genus Fusarium. On the basis of morphological characteristics and internal transcribed spacer (ITS) region of rDNA amplified using the primers ITS4/ITS5 the pathogen was identified as Fusarium proliferatum (Matsushima) Nirenberg and pathogenicity of the isolate was confirmed by using Koch’s postulates. To the best of our knowledge, this is the first report of leaf spot disease caused by Fusarium proliferatum on A. vera plants in India.
    Źródło:
    Journal of Plant Protection Research; 2018, 58, 2
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Enzyme-assisted turmeric oil extraction from turmeric rhizomes
    Autorzy:
    Chandra, Avinash
    Rekhi, Heena
    Dharmender
    Gautam, A.K.
    Arya, R.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/2173425.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    turmeric oil
    enzyme assisted
    diastase
    cellulase
    pectinase
    olejek z kurkumy
    diastaza
    celulaza
    pektynaza
    Opis:
    An enzyme-assisted modified steam distillation process was adopted to extract turmeric oil from Curcuma longa L. rhizomes. The diastase, xylose, cellulase, pectinase, and lipase enzymes were used for the pre-treatment of fresh turmeric rhizome to obtain a higher yield by rapturing biological cells. The quantitative and qualitative analysis of turmeric oil was performed by GC–MS. The various influencing parameters for the extraction of turmeric oil such as an enzyme, incubation/pre-treatment time, distillation time have been studied in the present work. The obtained turmeric oil by enzymatic pretreatment process is richer in bioactive/medicinal components than in the other traditional methods. The maximum yield was obtained with cellulase enzyme, which is 25–27% higher than the yield obtained by the traditional hydro distillation process. The detailed qualitative and quantitative analyses are also presented. The present method can be considered energy-efficient, effective, economical, and eco-friendly.
    Źródło:
    Chemical and Process Engineering; 2022, 43, 2; 183--191
    0208-6425
    2300-1925
    Pojawia się w:
    Chemical and Process Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Time series analysis of reference crop evapotranspiration for Bokaro District, Jharkhand, India
    Analiza serii czasowych ewapotranspiracji potencjalnej upraw w dystrykcie Bokaro, Jharkhand, Indie
    Autorzy:
    Gautam, R.
    Sinha, A. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/293179.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    ARIMA model
    evapotranspiration
    forecasting
    time series
    ewapotranspiracja
    model ARIMA
    prognozowanie
    serie czasowe
    Opis:
    Evapotranspiration is the one of the major role playing element in water cycle. More accurate measurement and forecasting of Evapotranspiration would enable more efficient water resources management. This study, is therefore, particularly focused on evapotranspiration modelling and forecasting, since forecasting would provide better information for optimal water resources management. There are numerous techniques of evapotranspiration forecasting that include autoregressive (AR) and moving average (MA), autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA), Thomas Feiring, etc. Out of these models ARIMA model has been found to be more suitable for analysis and forecasting of hydrological events. Therefore, in this study ARIMA models have been used for forecasting of mean monthly reference crop evapotranspiration by stochastic analysis. The data series of 102 years i.e. 1224 months of Bokaro District were used for analysis and forecasting. Different order of ARIMA model was selected on the basis of autocorrelation function (ACF) and partial autocorrelation (PACF) of data series. Maximum likelihood method was used for determining the parameters of the models. To see the statistical parameter of model, best fitted model is ARIMA (0, 1, 4) (0, 1, 1)12.
    Ewapotranspiracja jest jednym z głównych elementów obiegu wody. Dokładniejsze pomiary i możliwość prognozowania ewapotranspiracji mogłyby umożliwić wydajniejsze zarządzanie zasobami wodnymi. Dlatego prezentowane w niniejszej pracy badania skoncentrowane były na modelowaniu i prognozowaniu ewapotranspiracji, ponieważ prognozowanie zapewni więcej informacji do optymalnego zarządzania zasobami wodnymi. Istnieje wiele technik prognozowania ewapotranspiracji, takich jak autoregresja (AR), średnia ruchoma (MA), autoregresyjna średnia ruchoma (ARMA), autoregresyjna zintegrowana średnia ruchoma (ARIMA), metoda Thomasa– Feiringa i inne. Stwierdzono, że spośród nich ARIMA jest bardziej odpowiednia do analizy i prognozowania zdarzeń hydrologicznych. Z tego powodu wykorzystano model ARIMA do prognozowania miesięcznych średnich wartości ewapotranspiracji potencjalnej poprzez analizę stochastyczną. Do analiz i prognozowania użyto serii danych ze 102 lat (1224 miesiące) z dystryktu Bokaro. Na podstawie funkcji autokorelacji (ACF) i cząstkowych autokorelacji (PACF) serii danych wybrano różny porządek modelu ARIMA. Do wyznaczenia parametrów modelu wykorzystano metodę maksymalnego prawdopodobieństwa. Najlepiej dostosowanymi parametrami statystycznymi modelu okazały się ARIMA (0, 1, 4) (0, 1, 1)12.
    Źródło:
    Journal of Water and Land Development; 2016, 30; 51-56
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping
    Autorzy:
    Lokhande, S. K.
    Dhawale, S. A.
    Pathak, S. S.
    Gautam, R.
    Jain, M. C.
    Bodhe, G. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/176752.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    noise mapping
    noise prediction
    predictor LimA
    mining
    GIS
    Opis:
    Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq, T) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq, T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2–62.2 dB(A) and 30.5–53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0–5.3 dB(A).
    Źródło:
    Archives of Acoustics; 2017, 42, 3; 423-432
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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