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This edited book deals with plant genetic resources and their status, availability, and ecological niche in natural habitat. Usage and conservation practices followed by various tribal communities and their rationale are also discussed in the book. The book explores application of biological tools to conserve plant species and optimization protocols for conservation and elicitation of secondary metabolites and other value addition products. The book is organized into sub-themes covering: (i) Ecological status of plant genetic resources (ii) Traditional ethnobotanical knowledge and conservation practices (iii) Ex-situ conservation practices and bioprospecting Globally, plant genetic resources are deeply rooted in culture and economy. Since the early 1990s, the changing socio-economic situation has increasingly put pressure on plant genetic resources, in some cases leading to a severe loss of their diversity. For this reason, most vulnerable areas at risk of genetic erosion have been demarcated and protected by forest laws and regulations. Therefore, this book brings to light the opinions of leading experts in the area of ecology, conservation biodiversity, ethanobotany, and bioprospecting of plant genetic resources. The book is for use by graduate and advanced undergraduate students and researchers in plant physiology, molecular biology, biochemistry, and agriculture. Additionally, it is extremely useful as a general reference on conservation of flora and large-scale cultivation.
A welcome companion for any librarian seeking to determine both the general condition of their collection and specific areas in need of improvement.
This is the first book to walk collections practitioners through this foundational collections stewardship function. Rooted in best practice theories, the book is based on the premise that collections preservation, security, and access are anchored in a sound inventory practice.
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.