Titlebook: Climate-Smart Rice Breeding; Akansha Singh,Shravan Kumar Singh,Jiban Shrestha Book 2024 The Editor(s) (if applicable) and The Author(s), u

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Artificial Intelligence and Machine Learning for Rice Improvement,g increased food production. This escalating demand exerts pressure on agricultural lands as farmers and breeders strive to boost food grain output. Ninety percent of the world’s rice production and consumption takes place in Asia, where rice is a vital staple for 1.3 billion people. In developing c

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Fast-Forward Breeding in Rice,onmental changes and the global population steadily increasing, there is an urgency to harness the full potential of rice production—in terms of both quantity and quality. Sustainable expansion of crop production systems is necessary to provide food for the growing human population. Progress in geno

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Regulatory Framework of Plant Variety Protection for Modernized Plant Breeding Approaches,s is provided by the Plant Variety Protection (PVP) law. Many countries consider plant varieties as intellectual property and provide legal protection for them. Protection is offered to plant varieties which are developed through conventional as well as modern breeding methodologies, viz. marker-ass

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Akansha Singh,Shravan Kumar Singh,Jiban ShresthaEnlists advanced technologies for developing high-yielding tailored rice varieties.Explains modern breeding strategies for breeding rice by integrating omics technologies.Covers quantitative and compu

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