Plant Genomic Prediction

AI-Enhanced Models for Plant Genomics and Crop Improvement

Jen-Tsung Chen

• Publisher: CAB International
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9781836991328
• Subtopic: Biotechnology
• Index: Technology & Engineering

Predicting plant gene functions using AI-enhanced genomic prediction models is becoming a key component in crop breeding. This technology will significantly advance the development of new crops resistant to a wide range of stresses. This book describes the application of AI-enhanced genomic prediction models and their integration with high-throughput technology, such as smart phenotyping, multiple omics data from metabolomics, proteomics, and transcriptomics, to accelerate crop improvement. Written by a team of experts in this field, this book describes new methods for the production of climate change-ready, disease-resistant, stress-resilient crops by advancing the next generation of plant breeding tools. It is an ideal reference for readers working in all aspects of plant sciences and agricultural biotechnology, particularly plant stress physiology and crop breeding. The book: Describes AI-empowered models for accelerating plant genomic selection Comprehensively reviews omics-assisted genomic prediction for crop breeding Includes ways to develop climate change-ready and disease-resistant future crops

Table of contents

• Cover
• Halftitle
• Title Page
• Copyright
• Contents
• Contributors
• Preface
• Editor’s biography
• 1 An Introductory Overview of Plant Genomic Prediction
• 2 AI-Based Multi-Omics for Predicting Plant Complex Traits
• 3 AI-Based Multiple Omics Data Integration for Plant Genomic Prediction
• 4 AI-Based Genotype-to-Phenotype Prediction in Crop Breeding
• 5 Data-Driven Genomic Design for Next-Generation Crop Breeding
• 6 Plant Growth Models in Genomic Prediction
• 7 Genomic Prediction Models for Cereal Crops
• 8 Genomic Prediction Models for Fruit and Vegetable Crops
• 9 Genomic Prediction Models for Trees
• 10 High-Throughput and Precision Phenotyping for Plant Genomic Prediction
• 11 Validation Methods for Plant Genomic Prediction
• 12 Genomic Prediction for Developing Climate Change-Ready Crops
• 13 Genomic Prediction for Developing Salinity-Resilient and Drought-Tolerant Crops
• 14 AI-Driven Multidimensional Omics Approaches for Advancing Plant Defense
• 15 Enhancing Genomic Prediction through Kernel Methods
• 16 Artificial Intelligence Approaches in Plant Data Science
• 17 Deep Learning in Plant Pest Control
• 18 AI-Assisted Genomic and Epigenomic Modulations in Plant Stress Adaptation
• 19 Plant Genomic Prediction: Fundamental Models and Recent Applications in Crop Breeding
• Index
• Back Cover