Reprint
Molecular Research in Rice
Agronomically Important Traits
Edited by
October 2020
378 pages
- ISBN978-3-03943-238-7 (Hardback)
- ISBN978-3-03943-239-4 (PDF)
This book is a reprint of the Special Issue Molecular Research in Rice: Agronomically Important Traits that was published in
Biology & Life Sciences
Chemistry & Materials Science
Medicine & Pharmacology
Summary
This volume presents recent research achievements concerning the molecular genetic basis of agronomic traits in rice. Rice (Oryza sativa L.) is the most important food crop in the world, being a staple food for more than half of the world’s population. Recent improvements in living standards have increased the worldwide demand for high-yielding and high-quality rice cultivars. To achieve improved agricultural performance in rice, while overcoming the challenges presented by climate change, it is essential to understand the molecular basis of agronomically important traits. Recently developed techniques in molecular biology, especially in genomics and other related omics fields, can reveal the complex molecular mechanisms involved in the control of agronomic traits. As rice was the first crop genome to be sequenced, in 2004, molecular research tools for rice are well-established, and further molecular studies will enable the development of novel rice cultivars with superior agronomic performance.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
chloroplast RNA splicing and ribosome maturation (CRM) domain; intron splicing; chloroplast development; rice; rice (Oryza sativa L.), grain size and weight; Insertion/Deletion (InDel) markers; multi-gene allele contributions; genetic variation; rice germplasm; disease resistance; microbe-associated molecular pattern (MAMP); Pyricularia oryzae (formerly Magnaporthe oryzae); Oryza sativa (rice); receptor-like cytoplasmic kinase (RLCK); reactive oxygen species (ROS); rice; salinity; osmotic stress; combined stress; GABA; phenolic metabolism; CIPKs genes; shoot apical meristem; transcriptomic analysis; co-expression network; tiller; nitrogen rate; rice (Oryza sativa L.); quantitative trait locus; grain protein content; single nucleotide polymorphism; residual heterozygote; rice (Oryza sativa); specific length amplified fragment sequencing; Kjeldahl nitrogen determination; near infrared reflectance spectroscopy; rice; heterosis; yield components; high-throughput sequence; FW2.2-like gene; tiller number; grain yield; rice; CRISPR/Cas9; genome editing; off-target effect; rice; heat stress; transcriptome; anther; anthesis; rice; pyramiding; bacterial blight; marker-assisted selection; foreground selection; background selection; japonica rice; cold stress; germinability; high-density linkage map; QTLs; seed dormancy; quantitative trait locus; ABA; seed germination; chromosome segment substitution lines; linkage mapping; Oryza sativa L.; chilling stress; chlorophyll biosynthesis; chloroplast biogenesis; epidermal characteristics; AAA-ATPase; salicylic acid; fatty acid; rice; Magnaporthe oryzae; disease resistance; leaf senescence; rice; quantitative trait loci; transcriptome analysis; genetic; epigenetic; global methylation; transgenic; phenotype; OsNAR2.1; rice; dwarfism; OsCYP96B4; metabolomics; NMR; qRT-PCR; bHLH transcription factor; lamina joint; leaf angle; long grain; brassinosteroid signaling; rice; blast disease; partial resistance; pi21; haplotype; high night temperature; rice; grain yield; wet season; dry season; metabolomics; n/a