Crop Systems Biology

1. Front Matter

   Pages i-xi

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2. Challenges in Integrating Genetic Control in Plant and Crop Models

   • Valentina Baldazzi, Nadia Bertin, Michel Génard, Hélène Gautier, Elsa Desnoues, Bénédicte Quilot-Turion

   Pages 1-31

3. Simulating Genotype-Phenotype Interaction Using Extended Functional-Structural Plant Models: Approaches, Applications and Potential Pitfalls

   • Lifeng Xu, Gerhard Buck-Sorlin

   Pages 33-53

4. Modelling of Genotype by Environment Interaction and Prediction of Complex Traits across Multiple Environments as a Synthesis of Crop Growth Modelling, Genetics and Statistics

   • Daniela Bustos-Korts, Marcos Malosetti, Scott Chapman, Fred van Eeuwijk

   Pages 55-82

5. Process-Based Simulation Models Are Essential Tools for Virtual Profiling and Design of Ideotypes: Example of Fruit and Root

   • Michel Génard, Mohamed-Mahmoud Memmah, Bénédicte Quilot-Turion, Gilles Vercambre, Valentina Baldazzi, Jacques Le Bot et al.

   Pages 83-104

6. Heuristic Exploration of Theoretical Margins for Improving Adaptation of Rice through Crop-Model Assisted Phenotyping

   • Delphine Luquet, Camila Rebolledo, Lauriane Rouan, Jean-Christophe Soulie, Michael Dingkuhn

   Pages 105-127

7. Limited-Transpiration Trait for Increased Yield for Water-Limited Soybean: From Model to Phenotype to Genotype to Cultivars

   • Thomas R. Sinclair, Jyostna M. Devi, Thomas E. Carter Jr.

   Pages 129-146

8. Molecular Breeding for Complex Adaptive Traits: How Integrating Crop Ecophysiology and Modelling Can Enhance Efficiency

   • Graeme Hammer, Charlie Messina, Erik van Oosterom, Scott Chapman, Vijaya Singh, Andrew Borrell et al.

   Pages 147-162

9. Crop Modeling Approaches for Predicting Phenotype of Grain Legumes with Linkage to Genetic Information

   • Kenneth J. Boote, C. Eduardo Vallejos, James W. Jones, Melanie J. Correll

   Pages 163-192

10. Modelling QTL-Trait-Crop Relationships: Past Experiences and Future Prospects

    • Xinyou Yin, Paul C. Struik, Junfei Gu, Huaqi Wang

    Pages 193-218

11. Crop Systems Biology: Where Are We and Where to Go?

    • Xinyou Yin, Paul C. Struik

    Pages 219-227

12. Back Matter

    Pages 229-233

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The sequencing of genomes has been completed for an increasing number of crop species, and researchers have now succeeded in isolating and characterising many important QTLs/genes. High expectations from genomics, however, are waving back toward the recognition that crop physiology is also important for realistic improvement of crop productivity. Complex processes and networks along various hierarchical levels of crop growth and development can be thoroughly understood with the help of their mathematical description – modelling. The further practical application of these understandings also requires quantitative predictions. In order to better support design, engineering and breeding for new crops and cultivars for improving agricultural production under global warming and climate change, there is an increasing call for an interdisciplinary research approach, which combines modern genetics and genomics, traditional physiology and biochemistry, and advanced bioinformatics and modelling. Such an interdisciplinary approach has been practised in various research groups for many years. However, it does not seem to be fully covered in the format of book publications. We want to initiate a book project on crop systems biology - narrowing the gaps between genotypes and phenotypes and the gaps between crop modelling and genetics/genomics, for publication in 2013/2014. The book will be meant for those scientists and graduate students from fundamental plant biology and applied crop science who are interested in bridging the gap between these two fields. We have invited a group of scientists (who have very good track records in publishing excellent papers in this field or in a closely related area) to contribute chapters to this new book, and they have agreed to do so.​

• Crop improvement
• Crop physiological modelling
• Genetic analysis and genomics
• Genotype-phenotype gaps
• Quantitative trait loci
• Systems Biology

• Department of Plant Sciences Centre for Crop Systems Analysis, Wageningen University, Wageningen, The Netherlands

  Xinyou Yin, Paul C. Struik

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