Artificial Neural Network Genetic Algorithm As Powerful Tool to Predict and Optimize In vitro Proliferation Mineral Medium for G × N15 Rootstock

por Arab, Mohammad M., Yadollahi, Abbas, Shojaeiyan, Abdolali, Ahmadi, Hamed
Publicado 2016

Editorial: Horticultural genetic resources

por Farajpour, Mostafa, Arab, Mohammad M., Katam, Ramesh, Sadat-Hosseini, Mohammad
Publicado 2023

Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA)

por Arab, Mohammad M., Yadollahi, Abbas, Ahmadi, Hamed, Eftekhari, Maliheh, Maleki, Masoud
Publicado 2017

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models

por Sadat-Hosseini, Mohammad, Arab, Mohammad M., Soltani, Mohammad, Eftekhari, Maliheh, Soleimani, Amanollah, Vahdati, Kourosh
Publicado 2022

Contrasting allelic effects for pistachio salinity tolerance in juvenile and mature trees

por Sheikhi, Abdollatif, Arab, Mohammad M., Davis, Matthew, Palmer, William J., Michelmore, Richard, Brown, Pat J.
Publicado 2023

Genome-wide association analysis and pathway enrichment provide insights into the genetic basis of photosynthetic responses to drought stress in Persian walnut

por Arab, Mohammad M, Brown, Patrick J, Abdollahi-Arpanahi, Rostam, Sohrabi, Seyed Sajad, Askari, Hossein, Aliniaeifard, Sasan, Mokhtassi-Bidgoli, Ali, Mesgaran, Mohsen B, Leslie, Charles A, Marrano, Annarita, Neale, David B, Vahdati, Kourosh
Publicado 2022