Mandana Mahfeli; Saeid Minaei; Ali Fadavi; Shirin Dianati
Abstract
The synthetic seed method refers to encapsulated plant parts and any meristematic tissue which can develop into plantlets under in-vitro or in-vivo conditions. various parameters and evaluating’ one-variable-at-a-time’ could be time-consuming, expensive, and inefficient. Thus, the application ...
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The synthetic seed method refers to encapsulated plant parts and any meristematic tissue which can develop into plantlets under in-vitro or in-vivo conditions. various parameters and evaluating’ one-variable-at-a-time’ could be time-consuming, expensive, and inefficient. Thus, the application of process modeling approaches including Multi-Layer Perceptron (MLP) and the Radial-Basis Function (RBF) can be required and beneficial for the prediction of synthetic seed weight. In the present study, two different types of artificial neural network (ANN) algorithms, the MLP and RBF models, have been developed to predict the weight of Phalanopsis orchid synthetic seed using an encapsulation set-up especially developed for this purpose. Various topologies of ANN were configured based on different concentrations of sodium alginate (3, 4, and 5 (w/v)), calcium chloride (100,125, and 150 (mM), and droplet falling height of sodium alginate (1, 1.5, and 2 cm) as input variables and the values of synthetic seed weights as output variable. Results show that the RBF algorithm (R= 0.98 and SSE= 0. 13× 10-3) outperformed the MLP algorithm (R = 0.91and SSE= 0.14× 10-3) owing to its better ability for predicting capsule weight. The study has presented a machine learning-based approach for the classification of synthetic seeds. Algorithms for extraction of capsule features have been developed, which are in turn used to train artificial neural network (ANN) classifiers. The outputs of ANNs have been successfully applied to model the synthetic seeds production process indicating the appropriateness of the model equation in predicting orchid synthetic seed weight are mathematically combined.
Hossein Naderi Boldaji; Shirin Dianati Daylami; Sasan Aliniaeifard; Maryam Norouzi
Abstract
Light spectrum is one of the environmental cues that influence plant growth and development. Light is a stimulating factor for induction of somatic embryos during tissue culture practices. To accelerate the direct embryogenesis, six different light spectra including: white (W), red (R), blue (B), green ...
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Light spectrum is one of the environmental cues that influence plant growth and development. Light is a stimulating factor for induction of somatic embryos during tissue culture practices. To accelerate the direct embryogenesis, six different light spectra including: white (W), red (R), blue (B), green (G), red + blue (R+B) and red + far red (R+FR) together with dark condition (D), in combination with thidiazuron (TDZ) in four concentrations (0, 0.5, 1.5 and 3 mg L-1) were used. Inter-simple sequence repeat was used for identification and genetic stability analysis of somatic regenerated plantlets. Intact protocorm explants showed higher potential for direct somatic embryogenesis (DSE) than the other explants. The rate of DSE was highly dependent on the concentration of TDZ and its interaction with light spectra. R and R + FR spectra with 3 mg L-1 TDZ on intact protocorms and R+FR with 3 mg L-1 TDZ were efficient treatments to induce DSE without somaclonal variation. G light spectrum has also significant effects on DSE of protocorm explants. The amplified products showed 26 scorable bands and regenerates were completely identical to the mother plant. In conclusion, this protocol provides way to regenerate plants through embryogenesis, and is a reliable protocol to obtain proper development and genetic stable Phalaenopsis embryos.