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: Crop Systems Biology
    sub title: Narrowing the gaps between crop modelling and genetics
  name:
    name part: Yin, Xinyou.
    role:
      role term: editor.
  name:
    name part: Struik, Paul C.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 233 p. 39 illus., 20 illus. in color. online resource.
  abstract: The Work is an interdisciplinary research approach, combining modern genetics and genomics, traditional physiology and biochemistry, and advanced bioinformatics and crop modelling. It is a rapidly developing field and this book is testimony to its dynamic evolution. It provides examples of how gene regulatory and metabolic networks are included, in a spatially and temporally specific manner, in multi-scale crop modelling and how functional-structural plant modelling in combination with quantitative trait loci analysis is used to advance breeding for architectural traits. It also illustrates how prediction accuracy can profit from the large data sets available on environmental and genotypic variables by integrating physiological and statistical knowledge, and how in silico profiling can be used to unravel genotype × environment × management interactions, to analyse trade-offs between different crop characteristics or to assess yield benefits of specific traits. The Work also demonstrates very contrasting crop types that crop ecophysiology and functional modelling can assist in linking organizational scales, closing the genotype-to-phenotype gap, designing ideotypes for specific environments, evaluating suitability of specific environments for certain genotypes, and supporting model-assisted molecular breeding. This book will appeal to those interested in bridging fundamental plant biology and applied crop science using a diversity of systems modelling approaches.
  table of contents: Preface -- Author Index -- Chapter 1 Challenges in Integrating Genetic Control in Plant and Crop Models -- Chapter 2 Simulating Genotype - Phenotype Interaction Using Extended Functional- Structural Plant Models: Approaches, Applications and Potential Pitfalls -- Chapter 3 Modelling of Genotype by Environment Interaction and Prediction of Complex Traits across Multiple Environments as a Synthesis of Crop Growth Modelling, Genetics and Statistics -- Chapter 4 Process-Based Simulation Models Are Essential Tools for Virtual Profiling and Design of Ideotypes: Example of Fruit and Root -- Chapter 5 Heuristic Exploration of Theoretical Margins for Improving Adaptation of Rice through Crop-Model Assisted Phenotyping -- Chapter 6 Limited-Transpiration Trait for Increased Yield for Water-Limited Soybean: From Model to Phenotype to Genotype to Cultivars -- Chapter 7 Molecular Breeding for Complex Adaptive Traits – How Integrating Crop Ecophysiology and Modelling Can Enhance Efficiency -- Chapter 8 Crop Modeling Approaches for Predicting Phenotype of Grain Legumes with Linkage to Genetic Information -- Chapter 9 Modelling QTL-Trait-Crop Relationships: Past Experiences and Future Prospects -- Chapter 10 Crop Systems Biology - Where Are We and Where to Go? -- Index.
  note: edited by Xinyou Yin, Paul C. Struik.
  subject:
    topic: Life sciences
  subject:
    topic: Agriculture
  subject:
    topic: Systems biology
  subject:
    topic: Plant genetics
  subject:
    topic: Plant physiology
  subject:
    topic: Life Sciences
  subject:
    topic: Agriculture
  subject:
    topic: Systems Biology
  subject:
    topic: Plant Genetics & Genomics
  subject:
    topic: Plant Physiology
  classification: S1-S972
  classification: 630
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319205625
  identifier: http://dx.doi.org/10.1007/978-3-319-20562-5
  record info:
    record creation date: 151111
    record change date: 20151111172756.0
    record identifier: 978-3-319-20562-5