MARIANA
LANDIN PEREZ
Catedrática de universidade
Pedro Pablo
Gallego Veigas
Publicacións nas que colabora con Pedro Pablo Gallego Veigas (30)
2023
2022
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Artificial Neural Networks Elucidated the Essential Role of Mineral Nutrients versus Vitamins and Plant Growth Regulators in Achieving Healthy Micropropagated Plants
Plants, Vol. 11, Núm. 10
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Deciphering the effect of vitamins and mineral nutrients on kiwiberry micropropagation using computer-based tools
Acta Horticulturae
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Machine Learning Deciphers Genotype and Ammonium as Key Factors for the Micropropagation of Bryophyllum sp. Medicinal Plants
Horticulturae, Vol. 8, Núm. 11
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Machine learning tools to identify key minerals of Hoagland solution for healthy kiwiberry micropropagated plant hardening
Acta Horticulturae
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Neurofuzzy logic predicts a fine-tuning metabolic reprogramming on elicited Bryophyllum PCSCs guided by salicylic acid
Frontiers in Plant Science, Vol. 13
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Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots
Frontiers in Plant Science, Vol. 13
2021
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Computer-Based Tools Unmask Critical Mineral Nutrient Interactions in Hoagland Solution for Healthy Kiwiberry Plant Acclimatization
Frontiers in Plant Science, Vol. 12
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The combination of untargeted metabolomics and machine learning predicts the biosynthesis of phenolic compounds in bryophyllum medicinal plants (Genus kalanchoe)
Plants, Vol. 10, Núm. 11
2020
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Artificial Intelligence Tools to Better Understand Seed Dormancy and Germination
Seed Dormancy and Germination
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Combining medicinal plant in vitro culture with machine learning technologies for maximizing the production of phenolic compounds
Antioxidants, Vol. 9, Núm. 3
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From ethnomedicine to plant biotechnology and machine learning: The valorization of the medicinal plant bryophyllum sp.
Pharmaceuticals, Vol. 13, Núm. 12, pp. 1-23
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Machine Learning Unmasked Nutritional Imbalances on the Medicinal Plant Bryophyllum sp. Cultured in vitro
Frontiers in Plant Science, Vol. 11
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Machine learning technology reveals the concealed interactions of phytohormones on medicinal plant in vitro organogenesis
Biomolecules, Vol. 10, Núm. 5
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Modeling and Optimizing Culture Medium Mineral Composition for in vitro Propagation of Actinidia arguta
Frontiers in Plant Science, Vol. 11
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Shoot tip necrosis of in vitro plant cultures: a reappraisal of possible causes and solutions
Planta, Vol. 252, Núm. 3
2019
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Computer-based tools provide new insight into the key factors that cause physiological disorders of pistachio rootstocks cultured in vitro
Scientific Reports, Vol. 9, Núm. 1
2018
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Combining DOE with neurofuzzy logic for healthy mineral nutrition of pistachio rootstocks in vitro culture
Frontiers in Plant Science, Vol. 871
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Deciphering kiwifruit seed germination using neural network tools
Acta Horticulturae
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Neural networks models as decision-making tool for in vitro proliferation of hardy kiwi
European Journal of Horticultural Science, Vol. 83, Núm. 4, pp. 259-265