Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Plant Genomic Prediction: Ai-Enhanced Models for Plant Genomics and Crop Improvement

Plant Genomic Prediction: Ai-Enhanced Models for Plant Genomics and Crop Improvement

Chen, Jen-Tsung

Hardcover

AgricultureBiology

ISBN10: 1836991304
ISBN13: 9781836991304
Publisher: Cab International
Published: May 1 2026
Pages: 368
Weight: 2.41
Height: 1.25 Width: 6.69 Depth: 9.61
Language: English
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

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