CABI Biotechnology Series- Plant Spatial Biology

This book reviews the current state of spatial multi-omics and the digital biological tools that are expected to advance plant physiology and crop breeding and the development of new stress-resilient and high-yield crops. Systems biology and multi-omics techniques in plant sciences and crop development have advanced significantly in recent years allowing the analysis of molecular activity down to the resolution of single cells. This new discipline of plant spatial biology will lead to precision crop improvement by molecular profiling. This book aims to review the current state of spatial multi-omics and the digital biological tools that are expected to advance plant physiology, crop breeding and the development of new stress-resilient and high-yield crops. The book explores how spatial multi-omics in plants utilizes artificial intelligence (AI) including machine learning, deep learning, and generative models for modelling and simulating cellular activities at high-dimensional and temporal levels. The book is an ideal reference, providing the latest information on spatial multi-omics using plant high-throughput technology, advanced functional genomics, and AI models. It is essential reading for graduate students, teachers, researchers, and experts in the fields of plant sciences and plant breeding as well as agronomy and agriculture. Systems biology and multi-omics techniques in plant sciences and crop development have advanced significantly in recent years allowing the analysis of molecular activity down to the resolution of single cells. This new discipline of plant spatial biology will lead to precision crop improvement by molecular profiling. This book aims to review the current state of spatial multi-omics and the digital biological tools that are expected to advance plant physiology, crop breeding and the development of new stress-resilient and high-yield crops. The book explores how spatial multi-omics in plants utilizes artificial intelligence (AI) including machine learning, deep learning, and generative models for modelling and simulating cellular activities at high-dimensional and temporal levels. The book is an ideal reference, providing the latest information on spatial multi-omics using plant high-throughput technology, advanced functional genomics, and AI models. It is essential reading for graduate students, teachers, researchers, and experts in the fields of plant sciences and plant breeding as well as agronomy and agriculture.

Pagina's: 400, Hardcover, CAB International