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: Association Mapping in Plants
  name:
    name part: Oraguzie, Nnadozie C.
    role:
      role term: editor.
  name:
    name part: Rikkerink, Erik H. A.
    role:
      role term: editor.
  name:
    name part: Gardiner, Susan E.
    role:
      role term: editor.
  name:
    name part: Silva, H. Nihal De.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 278 p. online resource.
  abstract: For the past decade, there has been success in using conventional map-based strategies in identification and cloning of quantitative trait loci (QTL) in model plant species including tomato and Arabidopsis. These quantitative traits are generally the products of many loci with varying degrees of effect upon the observed phenotypes. Recently, a new approach to genetic mapping has emerged called association mapping. This new technique takes into account the thousands of genes to evaluate for QTL effect and is a more efficient approach that does not require generation of segregating populations/large numbers of progeny. As it can utilize all of the historic recombination events in a diverse population of individuals it can generate higher resolution genetic maps and, is needed to complement current map based cloning methods. Association Mapping in Plants provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies. This book will appeal to all those with an interest in plant genetics, plant breeding, and plant genomics. About the Editors: Dr. Nnadozie C. Oraguzie is a Senior Scientist in Genetics at the Horticulture and Food Research Institute of New Zealand Ltd (HortResearch). Dr. Erik H. A. Rikkerink is a Science Leader at HortResearch, New Zealand. Dr. Susan E. Gardiner is a Principal Scientist and leader of the Gene Mapping research team at HortResearch, New Zealand. Dr. H. Nihal De Silva is a Senior Scientist of Biometrics at HortResearch, New Zealand.
  table of contents: An Overview of Association Mapping -- Linkage Disequilibrium -- What Are SNPs? -- Single Nucleotide Polymorphism Discovery -- Single Nucleotide Polymorphism Genotyping in Plants -- SNP Applications in Plants -- Linkage Disequilibrium Mapping Concepts -- Statistical Analysis and Experimental Design -- Linkage Disequilibrium-Based Association Mapping in Forage Species -- Gene-Assisted Selection Applications of Association Genetics for Forest Tree Breeding -- Prospects of Association Mapping in Perennial Horticultural Crops.
  note: edited by Nnadozie C. Oraguzie, Erik H. A. Rikkerink, Susan E. Gardiner, H. Nihal De Silva.
  subject:
    topic: Life sciences
  subject:
    topic: Agriculture
  subject:
    topic: Plant science
  subject:
    topic: Botany
  subject:
    topic: Plant genetics
  subject:
    topic: Life Sciences
  subject:
    topic: Plant Genetics & Genomics
  subject:
    topic: Plant Sciences
  subject:
    topic: Agriculture
  classification: QH433
  classification: 581.35
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387360119
  identifier: http://dx.doi.org/10.1007/978-0-387-36011-9
  record info:
    record creation date: 100301
    record change date: 20151204181401.0
    record identifier: 978-0-387-36011-9