Showing 1 - 5 results of 5 for search 'Moslem ABDIPOUR', query time: 0.03s Refine Results
  1. 1
    An efficient estimation of crop performance in sheep fescue (Festuca ovina L.) using artificial neural network and regression models

    An efficient estimation of crop performance in sheep fescue (Festuca ovina L.) using artificial neural network and regression models by Masoomeh Abbasi Khalaki, Esfandiar Jahantab, Moslem Abdipour, Mehdi Moameri, Ardavan Ghorbani

    Published 2022-11-01
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  2. 2
    Author Correction: An efficient estimation of crop performance in sheep fescue (Festuca ovina L.) using artificial neural network and regression models

    Author Correction: An efficient estimation of crop performance in sheep fescue (Festuca ovina L.) using artificial neural network and regression models by Masoomeh Abbasi Khalaki, Esfandiar Jahantab, Moslem Abdipour, Mehdi Moameri, Ardavan Ghorbani

    Published 2023-03-01
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  3. 3
    Association between Grain Size and Shape and Quality Traits, and Path Analysis of Thousand Grain Weight in Iranian Bread Wheat Landraces from Different Geographic Regions

    Association between Grain Size and Shape and Quality Traits, and Path Analysis of Thousand Grain Weight in Iranian Bread Wheat Landraces from Different Geographic Regions by Moslem ABDIPOUR, Mohsen EBRAHIMI, Ali IZADI-DARBANDI, Anna Maria MASTRANGELO, Goodarz NAJAFIAN, Yousef ARSHAD, Gita MIRNIYAM

    Published 2016-06-01
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  4. 4
    Agrobacterium rhizogenes transformed soybeans with AtPAP18 gene show enhanced phosphorus uptake and biomass production

    Agrobacterium rhizogenes transformed soybeans with AtPAP18 gene show enhanced phosphorus uptake and biomass production by Mehdi Younessi-Hamzekhanlu, Ali Izadi-Darbandi, Mohammad Ali Malboobi, Mohsen Ebrahimi, Moslem Abdipour, Francesca Sparvoli, Dario Paolo

    Published 2018-07-01
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  5. 5
    Modeling the Essential Oil and <i>Trans</i>-Anethole Yield of Fennel (<i>Foeniculum vulgare</i> Mill. var. <i>vulgare</i>) by Application Artificial Neural Network and Multiple Linear Regression Methods

    Modeling the Essential Oil and <i>Trans</i>-Anethole Yield of Fennel (<i>Foeniculum vulgare</i> Mill. var. <i>vulgare</i>) by Application Artificial Neural Network and Multiple Lin... by Mohsen Sabzi-Nojadeh, Gniewko Niedbała, Mehdi Younessi-Hamzekhanlu, Saeid Aharizad, Mohammad Esmaeilpour, Moslem Abdipour, Sebastian Kujawa, Mohsen Niazian

    Published 2021-11-01
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