Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in
different fields of technology and science and have recently been applied to improve …

Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

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 …

Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …

Background Optimization of indirect shoot regeneration protocols is one of the key
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …

The high impact of irrigation in crop quality and yield in grapevine makes the development of
plant water status monitoring systems an essential issue in the context of sustainable …

The important feature of petunia in tissue culture is its unpredictable and genotype-
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …

Data-driven models in a combination of optimization algorithms could be beneficial methods
for predicting and optimizing in vitro culture processes. This study was aimed at modeling …

The main aim of the present investigation is modeling and optimization of a new culture
medium for in vitro rooting of G× N15 rootstock using an artificial neural network-genetic …

The process of optimizing in vitro seed sterilization and germination is a complicated task
since this process is influenced by interactions of many factors (eg, genotype, disinfectants …