Inhoudsopgave:
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\u003cp\u003e\u003ci\u003ePlant Breeding and Cultivar Development \u003c/i\u003efeatures an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation.\u003c/p\u003e \u003cp\u003eThe insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work.\u003c/p\u003e\u003cul\u003e \u003cli\u003eBridges the gap between conventional breeding practices and state-of-the-art technologies \u003c/li\u003e \u003cli\u003eProvides real-world case studies of a wide range of plant breeding techniques and practices\u003c/li\u003e \u003cli\u003eCombines insights from genetics, genomics, breeding science, statistics, computer science and engineering for crop improvement and cultivar development\u003c/li\u003e\u003c/ul\u003e |
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