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    Wyświetlanie 1-7 z 7
    Tytuł:
    Effect of mineral vs. biofertilizer on growth, yield, and essential oil content of fennel [Foeniculum vulgare Mill.]
    Autorzy:
    Mahfouz, S.A.
    Sharaf-Eldin, M.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24357.pdf
    Data publikacji:
    2007
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Źródło:
    International Agrophysics; 2007, 21, 4; 361-366
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Physical properties of guna fruits relevant in bulk handling and mechanical processing
    Autorzy:
    Aviara, N.A.
    Shittu, S.K.
    Haque, M.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/25024.pdf
    Data publikacji:
    2007
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    Citrullus colocynthis
    guna fruit
    guna plant
    Citrullus lanatus
    flowering plant
    physical property
    mechanical processing
    bulk handling
    Źródło:
    International Agrophysics; 2007, 21, 1
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Physical properties of unproductive soils of Northern China
    Autorzy:
    Malik, Z.
    Malik, M.A.
    Zong, Y.-T.
    Lu, S.-G.
    Powiązania:
    https://bibliotekanauki.pl/articles/24211.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    unproductive soil
    soil property
    pH
    organic matter content
    surface area
    tensile strength
    shear strength
    cracking
    physical property
    Northern China
    China
    Opis:
    The general characteristics: particle size distribution, pH, cation exchange capacity, organic matter content, total NPK, surface area; and physical properties: coefficient of linear extensibility, tensile strength, shear strength and cracking, were investigated in unproductive soils of Northern China. Principle component analysis showed that tensile strength, cohesion, cracking characteristics, clay content, cation exchange capacity and coefficient of linear extensibility were positively correlated with each other, whereas negatively correlated with angle of friction, indicating that these properties were subjected to clay % and smectite content. These correlations might be mainly responsible for low productivity (low yields) in Northern China.
    Źródło:
    International Agrophysics; 2014, 28, 4
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of soil physical properties by optimized support vector machines
    Autorzy:
    Besalatpour, A.
    Hajabbasi, M.A.
    Ayoubi, S.
    Gharipour, A.
    Jazi, A.Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/24338.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    The potential use of optimized support vector machines with simulated annealing algorithm in developing prediction functions for estimating soil aggregate stability and soil shear strength was evaluated. The predictive capabilities of support vector machines in comparison with traditional regression prediction functions were also studied. In results, the support vector machines achieved greater accuracy in predicting both soil shear strength and soil aggregate stability properties comparing to traditional multiple-linear regression. The coefficient of correlation (R) between the measured and predicted soil shear strength values using the support vector machine model was 0.98 while it was 0.52 using the multiple-linear regression model. Furthermore, a lower mean square error value of 0.06 obtained using the support vector machine model in prediction of soil shear strength as compared to the multiple-linear regression model. The ERROR% value for soil aggregate stability prediction using the multiple-linear regression model was 14.59% while a lower ERROR% value of 4.29% was observed for the support vector machine model. The mean square error values for soil aggregate stability prediction using the multiplelinear regression and support vector machine models were 0.001 and 0.012, respectively. It appears that utilization of optimized support vector machine approach with simulated annealing algorithm in developing soil property prediction functions could be a suitable alternative to commonly used regression methods.
    Źródło:
    International Agrophysics; 2012, 26, 2
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Heat shock increases oxidative stress to modulate growth and physico-chemical attributes in diverse maize cultivars
    Autorzy:
    Hussain, I.
    Ashraf, M.A.
    Rasheed, R.
    Iqbal, M.
    Ibrahim, M.
    Ashraf, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/25486.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    The present investigation was conducted to appraise the physiochemical adjustments in contrasting maize cultivars, namely, PakAfgoi (tolerant) and EV-5098 (sensitive) subjected to heat shock. Seven-day-old seedlings were exposed to heat shock for different time intervals (1, 3, 6, 24, 48 and 72 h) and data for various physiochemical attributes determined to appraise time course changes in maize. After 72 h of heat shock, the plants were grown under normal conditions for 5 d and data for different growth attributes and photosynthetic pigments recorded. Exposure to heat shock reduced growth and photosynthetic pigments in maize cultivars. The plants exposed to heat shock for up to 3 h recovered growth and photosynthetic pigments when stress was relieved. A time course rise in the relative membrane permeability, hydrogen peroxide (H2O2) and malondialdehyde contents was recorded particularly in the EV-5098 indicating that heat shock-induced oxidative stress. Activities of different enzymatic antioxidants greatly altered due to heat shock. For instance, an increase in superoxide dismutase activity was recorded in both maize cultivars. The activity of ascorbate peroxidase was greater in Pak-Afgoi. However, the peroxidase and catalase activities were higher in plants of EV-5098. Heat shock caused a significant rise in the proline and decline in the total free amino acids. Overall, the performance of Pak-Afgoi was better in terms of having lesser oxidative damage and greater cellular levels of proline. The results suggested that oxidative stress indicators (relative membrane permeability, H2O2 and malondialdehyde) and proline can be used as markers for heat shock tolerant plants.
    Źródło:
    International Agrophysics; 2016, 30, 4
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of pre-sowing magnetic field doses through RSM in pea
    Autorzy:
    Iqbal, M.
    Ahmad, I.
    Hussain, S.M.
    Khera, R.A.
    Bokhari, T.H.
    Shehzad, M.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/25738.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    Seed pre-sowing magnetic field treatment was reported to induce biochemical and physiological changes. In the present study, response surface methodology was used for deduction of optimal magnetic field doses. Improved growth and yield responses in the pea cultivar were achieved using a rotatable central composite design and multivariate data analysis. The growth parameters such as root and shoot fresh masses and lengths as well as yield were enhanced at a certain magnetic field level. The chlorophyll contents were also enhanced significantly vs. the control. The low magnetic field strength for longer duration of exposure/ high strength for shorter exposure were found to be optimal points for maximum responses in root fresh mass, chlorophyll ‘a’ contents, and green pod yield/plant, respectively and a similar trend was observed for other measured parameters. The results indicate that the magnetic field pre-sowing seed treatment can be used practically to enhance the growth and yield in pea cultivar and response surface methodology was found an efficient experimental tool for optimization of the treatment level to obtain maximum response of interest.
    Źródło:
    International Agrophysics; 2013, 27, 3
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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