Despite their economic importance, the Agave spp. have not been genetically improved. This is probably owing to the fact that they have very long life cycles and many of them have an inefficient sexual reproduction mechanism. Micropropagation offers an alternative to this problem through the efficient cloning of selected high-yielding "elite" plants. We report here an efficient method to micropropagate agaves and a strategy for the management of large scale production that has been successfully applied to several Agave spp.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1385/1-59259-959-1:165 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.
J Mol Model
January 2025
Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.
Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.
View Article and Find Full Text PDFPancreas-guided C-shaped surgical procedure: a safer and more efficient procedure for laparoscopic left hemicolectomy in obese patients.
Updates Surg
January 2025
Department of Gastrointestinal Surgery, The First People's Hospital of Foshan, No. 81 Lingnan Avenue North, Foshan, China.
The surgical risk is higher for obese patients undergoing laparoscopic left hemicolectomy. To enhance the surgical safety and efficacy for obese patients, we have innovatively integrated the advantages of various surgical approaches to modify a pancreas-guided C-shaped surgical procedure. The safety and quality were assessed through a retrospective analysis.
View Article and Find Full Text PDFExploring the Future of Extrusion with Andean Grains: Macromolecular Changes, Innovations, Future Trends and Food Security.
Plant Foods Hum Nutr
January 2025
Facultad de Industrias Alimentarias, Universidad Nacional Agraria La Molina, Lima, Peru.
This review aimed to explore the impact of extrusion on Andean grains, such as quinoa, kañiwa, and kiwicha, highlighting their macromolecular transformations, technological innovations, and contributions to food security. These grains, which are rich in starch, high-quality proteins, and antioxidant compounds, are versatile raw materials for extrusion, a continuous and efficient process that combines high temperatures and pressures to transform structural and chemical components. Extrusion improves the digestibility of proteins and starches, encourages the formation of amylose-lipid complexes, and increases the solubility of dietary fiber.
View Article and Find Full Text PDFData-Driven Discovery of High-Performance Heterobilayer Transition Metal Dichalcogenide-Based Sliding Ferroelectrics.
ACS Appl Mater Interfaces
January 2025
Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore.
The development of efficient sliding ferroelectric (FE) materials is crucial for advancing next-generation low-power nanodevices. Currently, most efforts focus on homobilayer two-dimensional materials, except for the experimentally reported heterobilayer sliding FE, MoS/WS. Here, we first screened 870 transition metal dichalcogenide (TMD) bilayer heterostructures derived from experimentally characterized monolayer TMDs and systematically investigated their sliding ferroelectric behavior across various stacking configurations using high-throughput calculations.
View Article and Find Full Text PDFDevelopment and validation of a risk prediction model for gestational diabetes mellitus in women of advanced maternal age during the first trimester.
FASEB J
January 2025
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!