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    Wyświetlanie 1-4 z 4
    Tytuł:
    Association of ’Candidatus Phytoplasma aurantifolia’ with Cosmos bipinnatus phyllody disease in Iran
    Autorzy:
    Nikooei, M.
    Hemmati, C.
    Bagheri, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/66083.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Candidatus Phytoplasma aurantifolia association
    Cosmos bipinnatus
    Mexican aster
    garden cosmos zob.Mexican aster
    phyllody
    phytoplasma
    plant disease
    Iran
    Opis:
    In 2017 growing season numerous examinations of Cosmos bipinnatus in Hormozgan province, Iran revealed the disease symptoms similar to those associated with phytoplasmas. Phytoplasmas were detected from all symptomatic plants by the specific polymerase chain reaction (PCR) utilizing phytoplasma universal primer pairs. Amplification, sequencing and blast analysis of 16S rDNA fragment (ca. 1.2 kb) demonstrated that C. bipinnatus plants were infected by a phytoplasma belonging to the 16SrII group. This is the first report of association of a ‘Candidatus Phytoplasma aurantifolia’-related strain with C. bipinnatus phyllody in Iran.
    Źródło:
    Journal of Plant Protection Research; 2017, 57, 3
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial neural network potential in yield prediction of lentil (Lens culinaris L.) influenced by weed interference
    Autorzy:
    Bagheri, A.
    Zargarian, N.
    Mondani, F.
    Nosratti, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082743.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    neural network
    prediction models
    pulses
    weed interference
    yield estimation
    Opis:
    This study was conducted to predict the yield and biomass of lentil (Lens culinaris L.) af- fected by weeds using artificial neural network and multiple regression models. Systematic sampling was done at 184 sampling points at the 8-leaf to early-flowering and at lentil maturity. The weed density and height as well as canopy cover of the weeds and lentil were measured in the first sampling stage. In addition, weed species richness, diversity and even- ness were calculated. The measured variables in the first sampling stage were considered as predictive variables. In the second sampling stage, lentil yield and biomass dry weight were recorded at the same sampling points as the first sampling stage. The lentil yield and biomass were considered as dependent variables. The model input data included the total raw and standardized variables of the first sampling stage, as well as the raw and stan- dardized variables with a significant relationship to the lentil yield and biomass extracted from stepwise regression and correlation methods. The results showed that neural network prediction accuracy was significantly more than multiple regression. The best network in predicting yield of lentil was the principal component analysis network (PCA), made from total standardized data, with a correlation coefficient of 80% and normalized root mean square error of 5.85%. These values in the best network (a PCA neural network made from standardized data with significant relationship to lentil biomass) were 79% and 11.36% for lentil biomass prediction, respectively. Our results generally showed that the neural net- work approach could be used effectively in lentil yield prediction under weed interference conditions.
    Źródło:
    Journal of Plant Protection Research; 2020, 60, 3; 284-295
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Thermodynamic Phase Diagram and Phonon stability, Electronic and Optical Properties of FeVSb: A DFT study
    Autorzy:
    Bagheri, A.
    Boochani, A.
    Masharian, S. R.
    Jafarpour, F. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/2203753.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DFT
    thermodynamic phase diagram
    phonon
    electronic properties
    optical properties
    Opis:
    Mechanical, electronic, thermodynamic phase diagram and optical properties of the FeVSb half-Heusler have been studied based on the density functional theory (DFT) framework. Studies have shown that this structure in the MgAgAs-type phase has static and dynamic mechanical stability with high thermodynamic phase consistency. Electronic calculations showed that this compound is a p-type semiconductor with an indirect energy gap of 0.39 eV. This compound’s optical response occurs in the infrared, visible regions, and at higher energies its dielectric sign is negative. The Plasmon oscillations have occurred in 20 eV, and its refraction index shifts to zero in 18 eV.
    Źródło:
    Archives of Metallurgy and Materials; 2023, 68, 1; 331--338
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Drought stress effects on photosynthesis, chlorophyll fluorescence and water relations in tolerant and susceptible chickpea (Cicer arietinum L.) genotypes
    Autorzy:
    Rahbarian, R.
    Khavari-Nejad, R.
    Ganjeali, A.
    Bagheri, A.
    Najafi, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/19297.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    drought stress
    photosynthesis
    chlorophyll fluorescence
    water relation
    chick-pea
    Cicer arietinum
    genotype
    drought tolerance
    plant cultivar
    Opis:
    In order to evaluate morphological and physiological traits related to drought tolerance and to determine the best criteria for screening and identification of drought-tolerant genotypes, we grew two tolerant genotypes (MCC392, MCC877) and two sensitive genotypes (MCC68, MCC448) of chickpea under drought stress (25% field capacity) and control (100% field capacity) conditions and assessed the effect of drought stress on growth, water relations, photosynthesis, chlorophyll fluorescence and chlorophyll content in the seedling, early flowering and podding stages. Drought stress significantly decreased shoot dry weight, CO2 assimilation rate (A), transpiration rate (E), and PSII photochemical efficiency (Fv/Fm) in all genotypes. In the seedling and podding stages, PSII photochemical efficiency was higher in tolerant genotypes than in sensitive genotypes under drought stress. Water use efficiency (WUE) and CO2 assimilation rate were also higher in tolerant than in sensitive genotypes in all investigated stages under drought stress. Our results indicated that water use efficiency, A and Fv/Fm can be useful markers in studies of tolerance to drought stress and in screening adapted cultivars of chickpea under drought stress.
    Źródło:
    Acta Biologica Cracoviensia. Series Botanica; 2011, 53, 1
    0001-5296
    Pojawia się w:
    Acta Biologica Cracoviensia. Series Botanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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