Effects of zinc oxide nanoparticles on the egg quality, immune response, zinc retention, and blood parameters of laying hens in the late phase of production M Abedini, F Shariatmadari, MA Karimi Torshizi, H Ahmadi Journal of animal physiology and animal nutrition 102 (3), 736-745, 2018 | 71 | 2018 |
Modeling and optimizing a new culture medium for in vitro rooting of G× N15 Prunus rootstock using artificial neural network-genetic algorithm MM Arab, A Yadollahi, M Eftekhari, H Ahmadi, M Akbari, SS Khorami Scientific reports 8 (1), 1-18, 2018 | 70 | 2018 |
Artificial neural network genetic algorithm as powerful tool to predict and optimize in vitro proliferation mineral medium for G× N15 rootstock MM Arab, A Yadollahi, A Shojaeiyan, H Ahmadi Frontiers in plant science 7, 220740, 2016 | 63 | 2016 |
Group method of data handling-type neural network prediction of broiler performance based on dietary metabolizable energy, methionine, and lysine H Ahmadi, M Mottaghitalab, N Nariman-Zadeh The Journal of Applied Poultry Research 16 (4), 494-501, 2007 | 63 | 2007 |
A meta-analysis of responses to dietary nonphytate phosphorus and phytase in laying hens H Ahmadi, M Rodehutscord Poultry Science 91 (8), 2072-2078, 2012 | 60 | 2012 |
Meta-analysis of the influence of dietary glycine and serine, with consideration of methionine and cysteine, on growth and feed conversion of broilers W Siegert, H Ahmadi, M Rodehutscord Poultry Science 94 (8), 1853-1863, 2015 | 56 | 2015 |
The integration of broiler chicken threonine responses data into neural network models H Ahmadi, A Golian Poultry science 89 (11), 2535-2541, 2010 | 55 | 2010 |
Effect of dietary supplementation of licorice extract and a prebiotic on performance and blood metabolites of broilers M Sedghi, A Golian, H Kermanshahi, H Ahmadi South African Journal of Animal Science 40 (4), 2010 | 55 | 2010 |
Effects of a dietary supplementation with zinc oxide nanoparticles, compared to zinc oxide and zinc methionine, on performance, egg quality, and zinc status of laying hens M Abedini, F Shariatmadari, MAK Torshizi, H Ahmadi Livestock Science 203, 30-36, 2017 | 54 | 2017 |
Predicting in vitro culture medium macro-nutrients composition for pear rootstocks using regression analysis and neural network models S Jamshidi, A Yadollahi, H Ahmadi, MM Arab, M Eftekhari Frontiers in plant science 7, 163722, 2016 | 54 | 2016 |
Evaluating two multistrain probiotics on growth performance, intestinal morphology, lipid oxidation and ileal microflora in chickens SA Kazemi, H Ahmadi, MA Karimi Torshizi Journal of Animal Physiology and Animal Nutrition 103 (5), 1399-1407, 2019 | 53 | 2019 |
Mathematical modeling of growth and paclitaxel biosynthesis in Corylus avellana cell culture responding to fungal elicitors using multilayer perceptron-genetic algorithm M Salehi, S Farhadi, A Moieni, N Safaie, H Ahmadi Frontiers in plant science 11, 545556, 2020 | 52 | 2020 |
A quantitative study of the interactive effects of glycine and serine with threonine and choline on growth performance in broilers W Siegert, H Ahmadi, A Helmbrecht, M Rodehutscord Poultry Science 94 (7), 1557-1568, 2015 | 51 | 2015 |
Response surface and neural network models for performance of broiler chicks fed diets varying in digestible protein and critical amino acids from 11 to 17 days of age H Ahmadi, A Golian Poultry science 90 (9), 2085-2096, 2011 | 51 | 2011 |
Relationship between color and tannin content in sorghum grain: application of image analysis and artificial neural network M Sedghi, A Golian, P Soleimani-Roodi, A Ahmadi, M Aami-Azghadi Brazilian Journal of Poultry Science 14, 57-62, 2012 | 49 | 2012 |
Hyperbolastic models as a new powerful tool to describe broiler growth kinetics H Ahmadi, M Mottaghitalab Poultry Science 86 (11), 2461-2465, 2007 | 46 | 2007 |
Effects of zinc oxide nanoparticles on performance, egg quality, tissue zinc content, bone parameters, and antioxidative status in laying hens M Abedini, F Shariatmadari, MAK Torshizi, H Ahmadi Biological trace element research 184, 259-267, 2018 | 43 | 2018 |
Application of artificial neural network and support vector machines in predicting metabolizable energy in compound feeds for pigs H Ahmadi, M Rodehutscord Frontiers in nutrition 4, 27, 2017 | 42 | 2017 |
Estimation and modeling true metabolizable energy of sorghum grain for poultry M Sedghi, MR Ebadi, A Golian, H Ahmadi Poultry science 90 (5), 1138-1143, 2011 | 41 | 2011 |
Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network H Ahmadi, A Golian, M Mottaghitalab, N Nariman-Zadeh Poultry Science 87 (9), 1909-1912, 2008 | 34 | 2008 |