04444nam a22005895i 4500 978-981-97-7098-4 DE-He213 20251030113314.0 cr nn 008mamaa 241115s2024 si | s |||| 0|eng d 9789819770984 978-981-97-7098-4 10.1007/978-981-97-7098-4 doi SB1-1110 TVK bicssc TEC003000 bisacsh TVK thema Climate-Smart Rice Breeding [electronic resource] / edited by Akansha Singh, Shravan Kumar Singh, Jiban Shrestha. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 371 p. 34 illus., 30 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Agronomy. 69554 Agricultural genome mapping. 67634 Subsistence farming. 70015 Agricultural biotechnology. Plant genetics. Agronomy. 69554 Agricultural Genetics. 67638 Subsistence Agriculture. 70016 Agricultural Biotechnology. Plant Genetics. Singh, Akansha. editor. edt http://id.loc.gov/vocabulary/relators/edt 87557 Singh, Shravan Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 87558 Shrestha, Jiban. editor. edt http://id.loc.gov/vocabulary/relators/edt 87559 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819770977 Printed edition: 9789819770991 Printed edition: 9789819771004 https://doi.org/10.1007/978-981-97-7098-4 ZDB-2-SBL ZDB-2-SXB 64974 64974