@article{752480,
      recid = {752480},
      author = {Yin, Xinyou, and Struik, Paul C.,},
      title = {Crop systems biology narrowing the gaps between crop  modelling and genetics / Xinyou Yin, Paul C. Struik,  editors. [electronic resource] :},
      pages = {1 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.},
      url = {http://library.usi.edu/record/752480},
      doi = {https://doi.org/10.1007/978-3-319-20562-5},
}