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Climate-Smart Rice Breeding [electronic resource] / edited by Akansha Singh, Shravan Kumar Singh, Jiban Shrestha.

Contributor(s): Material type: TextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 371 p. 34 illus., 30 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819770984
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • SB1-1110
Online resources:
Contents:
1. Climate change impact on rice production and breeding for climate resilient rice -- 2. Untapped rice genetic resources and pre-breeding in genomics era -- 3. Conservation and development of rice germplasm for Natural Farming -- 4. Doubled haploid rice breeding -- 5. Marker assisted breeding for rice improvement -- 6. Genome assisted breeding and genome-wide association studies for rice improvement -- 7. Haplotype-assisted breeding in rice -- 8. Genomic selection for phenotype prediction in rice -- 9. Genome editing for trait-specific improvement in rice -- 10. High throughput phenotyping enabled rice improvement -- 11. Artificial intelligence and machine learning for rice improvement -- 12. Fast forward breeding in rice -- 13. Application of next generation sequencing technology for rice improvement -- 14. Regulatory Framework Of Plant Variety Protection For Modernized Plant Breeding Approaches.
In: Springer Nature eBookSummary: This book covers all aspects of smart-breeding technologies in creating novel crop architecture to meet future rice demand. Several advanced crop breeding technologies like, marker-assisted backcross breeding, marker-assisted recurrent selection, genomic assisted breeding, haplotype breeding and genome editing technologies have been introduced and employed for rice productivity improvement. Use of artificial intelligence and machine learning in crop phenotype prediction is paving the way for climate-smart breeding. Chapters in this volume cover all these relevant topics. The global rice demand is estimated to rise to 555 and 827.86 million tons in 2035 for milled rice and paddy, respectively. Enhancing high-nutrition rice production under the pressure of global climate change conditions is a hard task for breeders. Changing climatic scenarios and extreme weather conditions have increased the incidence of various biotic and abiotic stresses. Also, every degree rise in global mean temperature causes 3.2 % reduction in rice yield globally. This creates an urgent need for developing high-yielding rice varieties to tackle the aggravated issue of food security. This book is meant for scientists, professionals, researchers, and students working on enhancing rice production through advanced plant-breeding technologies.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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1. Climate change impact on rice production and breeding for climate resilient rice -- 2. Untapped rice genetic resources and pre-breeding in genomics era -- 3. Conservation and development of rice germplasm for Natural Farming -- 4. Doubled haploid rice breeding -- 5. Marker assisted breeding for rice improvement -- 6. Genome assisted breeding and genome-wide association studies for rice improvement -- 7. Haplotype-assisted breeding in rice -- 8. Genomic selection for phenotype prediction in rice -- 9. Genome editing for trait-specific improvement in rice -- 10. High throughput phenotyping enabled rice improvement -- 11. Artificial intelligence and machine learning for rice improvement -- 12. Fast forward breeding in rice -- 13. Application of next generation sequencing technology for rice improvement -- 14. Regulatory Framework Of Plant Variety Protection For Modernized Plant Breeding Approaches.

This book covers all aspects of smart-breeding technologies in creating novel crop architecture to meet future rice demand. Several advanced crop breeding technologies like, marker-assisted backcross breeding, marker-assisted recurrent selection, genomic assisted breeding, haplotype breeding and genome editing technologies have been introduced and employed for rice productivity improvement. Use of artificial intelligence and machine learning in crop phenotype prediction is paving the way for climate-smart breeding. Chapters in this volume cover all these relevant topics. The global rice demand is estimated to rise to 555 and 827.86 million tons in 2035 for milled rice and paddy, respectively. Enhancing high-nutrition rice production under the pressure of global climate change conditions is a hard task for breeders. Changing climatic scenarios and extreme weather conditions have increased the incidence of various biotic and abiotic stresses. Also, every degree rise in global mean temperature causes 3.2 % reduction in rice yield globally. This creates an urgent need for developing high-yielding rice varieties to tackle the aggravated issue of food security. This book is meant for scientists, professionals, researchers, and students working on enhancing rice production through advanced plant-breeding technologies.

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Biblioteca Universității "Dunărea de Jos" din Galați