rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Breeding Grasses and Protein Crops in the Era of Genomics
  name:
    name part: Brazauskas, Gintaras.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Statkevičiūtė, Gražina.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Jonavičienė, Kristina.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 267 p. 56 illus. online resource.
  abstract: The genomic revolution has opened many opportunities to explore relationships between genetic and phenotypic diversity of plants as never before. The joint meeting addresses challenges of combining genetic resources and advanced omics technologies for enhancing development of next generation breeding strategies that will move plant breeding a step forward. Selection based on genomic technologies allows simultaneous marker discovery and validation, however high- throughput and precise phenotyping remains a major bottleneck limiting the power and resolution of genetic analysis. Additionally, novel sequencing technologies and automated phenotyping approaches generate big data sets requiring efficient data analysis and decision support tools that help breeders to select the superior material for their breeding programs.
  table of contents: Part I Utilization of genetic resources and pre-breeding -- 1. Utilization of genebank accessions to improve northern adaptation of perennial ryegrass (Lolium perenne L.) -- 2. Wild and primitive common bean populations in the germplasm collection at the MBG-CSIC -- 3. Patterns of spring growth and phenology in natural populations of Lolium perenne under contrasting field conditions -- 4. Population structure of red clover ecotypes collected from Europe and Asia -- 5. Enhancing the sustainable use of Lolium perenne genetic resources from genebanks in plant breeding and research -- 6. Tetraploid Festuca apennina is prone to produce triploid hybrid progeny when crossed with diploid Festuca pratensis -- 7. Comparing mitotic and meiotic tetraploid red clover plants for seed yield -- 8. Domesticating shrubby native legumes for pastures and natural grasslands -- 9. Effects of temperature on growth during in vitro embryo culture of field bean (Vicia faba var. minor L.) -- 10. Ecological and agronomic evaluation of Dactylis glomerata subsp. Lobata -- 11. Yield and genetic composition of Latvian ×Festulolium cultivars and breeding material -- 12. Genetic variability of the most important traits in alfalfa cultivars under Lithuanian conditions -- 13. Tetraploid induction in Lolium multiflorum -- 14. The sense of testing sheep preference in tall fescue variety evaluation -- 15. Chemical composition of zigzag clover (Trifolium medium L.) -- 16. Wild and semi natural ecotypes of perennial grasses and legumes - for breeding purposes -- 17. Breeding for improved seed yield of red clover -- Part II Genetic improvement of quality and agronomic traits -- 18. Breeding forage and grain legumes to increase EU's and China's protein self-sufficiency -- 19. Identification of loci controlling timing of stem elongation in red clover using GBS of pooled phenotypic extremes -- 20. Grain yield and morphology of dwarf vs tall white lupin in Mediterranean environments -- 21. Deciphering grain leg…
  note: edited by Gintaras Brazauskas, Gražina Statkevičiūtė, Kristina Jonavičienė.
  subject:
    topic: Plant breeding
  subject:
    topic: Bioinformatics
  subject:
    topic: Plant genetics
  subject:
    topic: Agriculture
  subject:
    topic: Plant Breeding/Biotechnology
  subject:
    topic: Bioinformatics
  subject:
    topic: Plant Genetics and Genomics
  subject:
    topic: Agriculture
  classification: SB123-123.5
  classification: S494.5.B563
  classification: 631.52
  classification: 660.6
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319895789
  identifier: https://doi.org/10.1007/978-3-319-89578-9
  record info:
    record creation date: 180425
    record change date: 20190620031036.0
    record identifier: 978-3-319-89578-9