Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and
other factors, leading to undesirable and inefficient medium composition. Facing incidence
of different physiological disorders such as callusing, shoot tip necrosis (STN) and
vitrification (Vit) in walnut proliferation, it is necessary to develop prediction models for
identifying the impact of different factors involving in this process. In the present study, three …
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and
other factors, leading to undesirable and inefficient medium composition. Facing incidence
of different physiological disorders such as callusing, shoot tip necrosis (STN) and
vitrification (Vit) in walnut proliferation, it is necessary to develop prediction models for
identifying the impact of different factors involving in this process. In the present study, three …
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