نویسنده = |
تعداد مقالات: 8 |
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1 |
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COMPARING LINEAR REGRESSION AND ARTIFICIAL NEURAL NETWORK MODELS FOR PREDICTION OF NACL IMPACT ON VITIS VINIFERA IN VITRO PERFORMANCE |
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Maliheh Eftekhari، Abbas Yadollahi، Abdolali Shojaeiyan، Hossein Hokmabadi |
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مشاهده مقاله
اصل مقاله 277.49 K
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DATA MINING APPROACH IN FENUGREEK (TRIGONELLAFOENUM- GRACEUM.) TO IDENTIFY EST-SSR MARKERS RELATED TO MAJOR GENES INVOLVED IN SALINITY TOLERANCE |
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Dariush Tafrihi، Abdolali Shojaeiyan، Sahar Aminkar |
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مشاهده مقاله
اصل مقاله 232.19 K
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3 |
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CYTOLOGICAL EVALUATION OF SOME SUPERIOR PERSIAN WALNUT (JUGLANS REGIA L.) GENOTYPES IN THE BAVANAT REGION OF NORTH OF FARS PROVINCE IRAN |
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Saadat Sarikhani Khorami، Kazem Arzani، Ghasem Karimzadeh، Abdolali Shojaeiyan |
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مشاهده مقاله
اصل مقاله 184.56 K
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4 |
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NACL-INDUCED CHANGES IN PHENOLICS COMPOSITION OF LEAVES AND ROOTS OF SEVERAL GRAPE CULTIVARS (VITIS VINIFERA) AND THEIR RELATIONSHIP TO ANTIOXIDANT CAPACITY |
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Maliheh Eftekhari، Abbas Yadollahi، Christopher Ford، Abdolali Shojaeiyan، Hossein Hokmabadi |
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مشاهده مقاله
اصل مقاله 231.86 K
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5 |
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THE USE OF ESTS-DATABASE FOR IDENTIFICATION OF NIC GENE IN TRIGONELLINE PATHWAY IN TRIGONELLA FOENUM-GRAECUM L |
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Marzieh Nasirzadeh، Abdolali Shojaeiyan، Sajad Rashidi Monfared، Mahdi Ayyari، Sahar Aminkar |
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مشاهده مقاله
اصل مقاله 280.46 K
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6 |
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Senior Expert, Agricultural Research, Education Extension Organization, Seed , Plant Certification Registration Institute, Karaj, Iran |
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Sahar Aminkar، Abdolali Shojaeiyan، Sajad Rashidi Monfared، Mahdi Ayyari، Marzieh Nasirzadeh |
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مشاهده مقاله
اصل مقاله 234.78 K
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7 |
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PREDICTING IN VITRO SECONDARY METABOLISM OF VITIS VINIFERA UNDER THE EFFECT OF NACL USING ARTIFICIAL NEURAL NETWORK COMBINED WITH PRINCIPAL COMPONENT ANALYSIS |
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Abbas Yadollahi، Maliheh Eftekhari، Christopher Ford، Abdolali Shojaeiyan |
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مشاهده مقاله
اصل مقاله 234.54 K
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8 |
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TARGETED METABOLIC PROFILING REVEALS SHIFTS IN POLYPHENOL METABOLISM IN GRAPEVINE (VITIS VINIFERA) FOLIAR PART |
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Maliheh Eftekhari، Abbas Yadollahi، Christopher Ford، Abdolali Shojaeiyan |
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مشاهده مقاله
اصل مقاله 234.46 K
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