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    Rice Improvement

    Physiological, Molecular Breeding and Genetic Perspectives

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    Contributor(s)
    Ali, Jauhar (editor)
    Wani, Shabir Hussain (editor)
    Language
    English
    Show full item record
    Abstract
    This book is open access under a CC BY 4.0 license. By 2050, human population is expected to reach 9.7 billion. The demand for increased food production needs to be met from ever reducing resources of land, water and other environmental constraints. Rice remains the staple food source for a majority of the global populations, but especially in Asia where ninety percent of rice is grown and consumed. Climate change continues to impose abiotic and biotic stresses that curtail rice quality and yields. Researchers have been challenged to provide innovative solutions to maintain, or even increase, rice production. Amongst them, the ‘green super rice’ breeding strategy has been successful for leading the development and release of multiple abiotic and biotic stress tolerant rice varieties. Recent advances in plant molecular biology and biotechnologies have led to the identification of stress responsive genes and signaling pathways, which open up new paradigms to augment rice productivity. Accordingly, transcription factors, protein kinases and enzymes for generating protective metabolites and proteins all contribute to an intricate network of events that guard and maintain cellular integrity. In addition, various quantitative trait loci associated with elevated stress tolerance have been cloned, resulting in the detection of novel genes for biotic and abiotic stress resistance. Mechanistic understanding of the genetic basis of traits, such as N and P use, is allowing rice researchers to engineer nutrient-efficient rice varieties, which would result in higher yields with lower inputs. Likewise, the research in micronutrients biosynthesis opens doors to genetic engineering of metabolic pathways to enhance micronutrients production. With third generation sequencing techniques on the horizon, exciting progress can be expected to vastly improve molecular markers for gene-trait associations forecast with increasing accuracy. This book emphasizes on the areas of rice science that attempt to overcome the foremost limitations in rice production. Our intention is to highlight research advances in the fields of physiology, molecular breeding and genetics, with a special focus on increasing productivity, improving biotic and abiotic stress tolerance and nutritional quality of rice. ; Up-to-date contributions by experts from international research centers and universities Provides practical knowledge and strong scientific foundation on rice biotechnology All-in-one resource for current advances in rice breeding Open Access
    URI
    https://library.oapen.org/handle/20.500.12657/48686
    Keywords
    Agriculture; Plant Breeding/Biotechnology; Plant Genetics and Genomics; Plant Physiology; Nutrition; Plant Biotechnology; Plant Genetics; Open Access; Rice Biotechnologies; Rice Breeding; biotic stress tolerance; abiotic stress tolerance; Submergence tolerance; Biofortification; Marker Assisted and Forward Breeding; disease resistance; CRISPR/CAS; Agricultural science; Botany & plant sciences; Biotechnology; Genetics (non-medical); Biochemistry
    DOI
    10.1007/978-3-030-66530-2
    ISBN
    9783030665302, 9783030665302
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2021
    Grantor
    • Bill and Melinda Gates Foundation - [grantnumber unknown]
    Imprint
    Springer
    Classification
    Agricultural science
    Plant reproduction & propagation
    Botany & plant sciences
    Plant physiology
    Biochemistry
    Agricultural science
    Botany and plant sciences
    Biochemistry
    Pages
    498
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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