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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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书目名称Climate-Smart Rice Breeding
编辑Akansha Singh,Shravan Kumar Singh,Jiban Shrestha
视频video
概述Enlists advanced technologies for developing high-yielding tailored rice varieties.Explains modern breeding strategies for breeding rice by integrating omics technologies.Covers quantitative and compu
图书封面Titlebook: Climate-Smart Rice Breeding;  Akansha Singh,Shravan Kumar Singh,Jiban Shrestha Book 2024 The Editor(s) (if applicable) and The Author(s), u
描述.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 mean
出版日期Book 2024
关键词Crop Breeding; Rice Breeding; Genome Selection; Climate-smart Rice; Marker-assisted Selection; Genomics; N
版次1
doihttps://doi.org/10.1007/978-981-97-7098-4
isbn_softcover978-981-97-7100-4
isbn_ebook978-981-97-7098-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Age-Friendly New York City: A Case Studys scanning the genomes of a significant number of individuals—often thousands or more. GAB empowers the integration of genomic tools with highly advanced phenotyping techniques and traditional breeding methods. Genomic-assisted selection (GAS) and GWAS serve as complementary tools in crop breeding.
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https://doi.org/10.1007/978-3-030-94606-7r hand, third-generation sequencing systems, including from Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT), may create lengthy reads that can be used to directly identify haplotypes. The technique of generating haplotypes from sequencing data via estimation of haplotype is known
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Jan Zurdel MD,Katrin Engelmann MDraits critical in the face of climate change. Advanced imaging detects early stress signs, aiding in real-time genetic response assessment. This knowledge helps breed resilient rice varieties, ensuring food security amid climatic uncertainties. High-throughput phenotyping synergy with traditional me
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