Reprint

Genetics, Genomics, and Breeding of Legume Crops

Edited by
February 2024
270 pages
  • ISBN978-3-0365-9916-8 (Hardback)
  • ISBN978-3-0365-9915-1 (PDF)

This book is a reprint of the Special Issue Genetics, Genomics, and Breeding of Legume Crops that was published in

Biology & Life Sciences
Chemistry & Materials Science
Environmental & Earth Sciences
Summary

Legume crops are grown worldwide and provide a major source of protein, oil, carbohydrates, dietary fiber, and dietary minerals. Legume crops also play an important role in international trade. Genetic improvement has been a key to the growth of crop production, and it continuously contributes to sustainable agriculture and food security. Presently, plant genetic improvement is in the middle of evolution from field-based traditional breeding to a new era of application of multiple novel techniques such as marker-assisted selection, genomic prediction, and gene editing, which are integrated with conventional methods in practical breeding. This Reprint contains fifteen research articles and a review paper that address a wide range of research topics in legume crops. The research involved all the traits of importance, including yield, quality, resistance to pests and diseases, and abiotic stresses. This Reprint can be used as a source of information for future work.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
Medicago; salinity tolerance; gene expression profile; salt acclimatization; Kunitz trypsin inhibitor; molecular markers; non-denaturing electrophoresis; seed quality; seed storage proteins; soybean; SSR (Simple sequence repeat) markers; Ti gene; non-domesticated legumes; Vigna racemosa; Vigna ambacensis; Vigna reticulata; Vigna vexillata; wild food legumes; legumes; Vigna species; cooking time; water absorption; domestication; derived short-petiole (dsp) mutant; soybean (Glycine max); map-based cloning; simple sequence repeats (SSR) marker; bulked segregant analysis (BSA); Phaseolus vulgaris L.; linear model; conditional quantile; genome-enabled prediction; Lupinus mutabilis; genetic diversity; morphological traits; ISSR; genome size; Mediterranean climate; fatty acid; germplasm; geographical origin; oil; soybean (Glycine max L. Merrill); drought stress; common bean; quantitative trait loci (QTLs); physiology; yield; phenology; mutation breeding; soybean; mutant diversity pool (MDP); TRAP markers; association analysis; Arachis hypogaea L.; EMS; mutant; dwarf; high protein; breeding; peanut; plant breeding; research; funding; genomics; INERA; cultivar; selection; Arachis hypogaea; Cicer arietinum; intraspecific crosses; transgressive segregations; large seed; double pod; QTL mapping; Glycine max; Glycine soja; flowering; Maturation; domestication; pleiotropy; pigeonpea; genomics; TPGC; FPVS; multi-location trials; cover crop; crimson clover; germplasm diversity; legume; n/a