Clonal Propagation of Walnuts (Juglans spp.): A Review on Evolution from Traditional Techniques to Application of Biotechnology

K Vahdati, R Sadeghi-Majd, AF Sestras… - Plants, 2022 - mdpi.com
Walnuts (Juglans sp.) are allogamous species. Seed-derived plants are not always superior
to the selected parent. Clonal propagation of selected stock plants is an essential …

Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals

S Parthiban, T Vijeesh, T Gayathri… - Frontiers in Plant …, 2023 - frontiersin.org
Recombinant biopharmaceuticals including antigens, antibodies, hormones, cytokines,
single-chain variable fragments, and peptides have been used as vaccines, diagnostics and …

Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea

M Jafari, MH Daneshvar, S Jafari, M Hesami - Forests, 2022 - mdpi.com
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …

Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and …

E Özcan, HH Atar, SA Ali, M Aasim - In Vitro Cellular & Developmental …, 2023 - Springer
The application of plant tissue culture protocols for aquatic plants has been widely adopted
in recent years to produce cost-effective plants for aquarium industry. In vitro regeneration …

Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis

H Rezaei, A Mirzaie-Asl, MR Abdollahi, M Tohidfar - Plos one, 2023 - journals.plos.org
The important feature of petunia in tissue culture is its unpredictable and genotype-
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …

Predicting and optimizing reactive oxygen species metabolism in Punica granatum L. through machine learning: role of exogenous GABA on antioxidant enzyme …

S Zarbakhsh, AR Shahsavar, A Afaghi… - BMC Plant …, 2024 - Springer
Background Drought and salinity stress have been proposed as the main environmental
factors threatening food security, as they adversely affect crops' agricultural productivity. As a …

[HTML][HTML] Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies

CO Awere, K Rakkammal, AB Çolak, M Bayrak… - Current Plant …, 2024 - Elsevier
Several factors interact to regulate direct in vitro shoot regeneration. Optimization of de novo
direct regeneration is a primary prerequisite for the success of genetic transformation …

Machine learning offers insights into the impact of in vitro drought stress on strawberry cultivars

Ö Şimşek - Agriculture, 2024 - mdpi.com
This study aimed to assess the susceptibility of three strawberry cultivars
(“Festival”,“Fortuna”, and “Rubygem”) to drought stress induced by varying polyethylene …

Applicability of soft computing techniques for in vitro micropropagation media simulation and optimization: A comparative study on Salvia macrosiphon Boiss

M Sadat-Hosseini, MM Arab, M Soltani… - Industrial Crops and …, 2023 - Elsevier
Plant tissue culture media composition prediction is valuable and can diminish the spending
time and costs of releasing protocols. The present study assessed the possibility of using …

A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro …

M Aasim, R Katırcı, AŞ Acar, SA Ali - Industrial Crops and Products, 2024 - Elsevier
In this study, in vitro regeneration protocol for black mulberry (Morus nigra L.) was optimized
using 18 distinct combinations of benzylaminopurine (BAP) with either naphthalene acetic …