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Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models

Two modeling techniques [artificial neural network-genetic algorithm (ANN-GA) and stepwise regression analysis] were used to predict the effect of medium macro-nutrients on in vitro performance of pear rootstocks (OHF and Pyrodwarf). The ANN-GA described associations between investigating eight macr...

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書誌詳細
出版年:Front Plant Sci
主要な著者: Jamshidi, S., Yadollahi, A., Ahmadi, H., Arab, M. M., Eftekhari, M.
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4809900/
https://ncbi.nlm.nih.gov/pubmed/27066013
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2016.00274
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