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Crop Modeling and Decision Support

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Weixing Cao

    1. Nanjing Agricultural University, Nanjing, P.R.China

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  2. Jeffrey W. White

    1. ALARC, USDA ARS, Maricopa, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Enli Wang

    1. CSIRO Land and Water, Canberra

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    You can also search for this editor in PubMed   Google Scholar

  • Crop growth model
  • Model-based decision support system
  • Fucntional-architectural plant model

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Table of contents (36 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Modeling Time of Seedling Emergence of Spring Wheat

    • H. Wang, H. Cutforth, T. McCaig, G. McLeod, K. Brandt, R. Lemke et al.
    Pages 1-11

  3. Complete Parameterization of Photosynthesis Models—An Example for Barley

    • J. Müller, H. Braune, W. Diepenbrock
    Pages 12-23

  4. Studies on Photosynthesis Model of Mini-Cucumber Leaf in Greenhouse

    • Ping-Ping Li, Ji-Zhang Wang, Xin Chen, Wei-Hong Liu
    Pages 24-29

  5. Finding a Suitable CO2 Response Algorithm for Crop Growth Simulation in Germany

    • C. Nendel, K. C. Kersebaum, W. Mirschel, R. Manderscheid, H. J. Weigel, K. O. Wenkel
    Pages 30-43

  6. Bringing Genetics and Genomics to Crop Simulations: Experiences with Wheat, Sorghum and Common Bean in Solving the GEM-to-P Problem

    • J. W. White
    Pages 44-53

  7. Establishment of Dynamic Model for the Nutrient Uptake and Development about Tomato in Greenhouse

    • Jin-Xiang Chu, Zhong-Fu Sun, Ke-Ming Du, Qian Jia, Shuang Liu
    Pages 54-58

  8. CANON: A Canonical Composition for Building Plant Shoots From the Bottom Up

    • J. N. G. Hargreaves, G. S. McMaster
    Pages 59-70

  9. A Quantitative Analysis on Leaf Curvature Characteristics in Rice

    • Liang Tang, Chun-Lin Shi, Yan Zhu, Qi Jing, Wei-Xing Cao
    Pages 71-76

  10. The Response of Canopy Direction Reflectance Spectrum for the Wheat Vertical Leaf Distributing

    • Chun-Hua Xiao, Shao-Kun Li, Ke-Ru Wang, Yan-Li Lu, Jun-Hua Bai, Rui-Zhi Xie et al.
    Pages 77-85

  11. Modeling Leaf Sheath and Internode Growth Dynamics in Wheat

    • Yan Zhu, Liang Tang, Zi-Hui Tan, Guo-Qing Chen, Wei-Xing Cao
    Pages 86-91

  12. Modeling Fruit Morphological Formation on Muskmelon

    • Li-Ying Chang, Ming-Han Chi, Dan-Feng Huang
    Pages 92-98

  13. Shape Modeling of Organs and Structures Generating for Crops

    • Sheng-Lian Lu, Xin-Yu Guo, Chun-Jiang Zhao, Chang-Feng Li
    Pages 99-108

  14. Modeling Shoot and Root Biomass of Lucerne Crops—New Insights on the Seasonality of Dry Matter Partitioning and Root Maintenance Respiration

    • Edmar I. Teixeira, Derrick J. Moot, Hamish E. Brown, David P. Monks
    Pages 109-115

  15. A Morphogenetic Crop Model for Sugar-Beet (Beta vulgaris L.)

    • S. Lemaire, F. Maupas, P. H. Cournède, P. de Reffye
    Pages 116-129

  16. Coupling Process-Based Models and Plant Architectural Models: A Key Issue for Simulating Crop Production

    • P. de Reffye, E. Heuvelink, Yan Guo, Bao-Gang Hu, Bao-Gui Zhang
    Pages 130-147

  17. A Functional-Structural Plant Model—Theories and Its Applications in Agronomy

    • Meng-Zhen Kang, Paul-Henry Cournède, Amélie Mathieu, Véronique Letort, Rui Qi, Zhi-Gang Zhan
    Pages 148-160

  18. New Approach for the Study of Source-Sink Dynamics on Maize

    • Rui Qi, Yun-Tao Ma, Bao-Gang Hu, P. de Reffye, Paul-Henry Cournède
    Pages 161-168

  19. A Review of Research on the Virtual Plants

    • Lin Hu, Guo-Min Zhou, Yun Qiu, Jing-Chao Fan, Jian Wang
    Pages 169-174

  20. Concepts and Applications of AquaCrop: The FAO Crop Water Productivity Model

    • P. Steduto, Dirk Raes, Theodore C. Hsiao, Elias Fereres, Lee K. Heng, Terry A. Howell et al.
    Pages 175-191
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Keywords

About this book

"Crop Modeling and Decision Support" presents 36 papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate change; the rests describe the developments in model-based decision support systems (DSS), model applications, and integration of crop models with other information technologies.

The book is intended for researchers, teachers, engineers, and graduate students on crop modeling and decision support.

Dr. Weixing Cao is a professor at Nanjing Agricultural University, China.

Editors and Affiliations

  • Nanjing Agricultural University, Nanjing, P.R.China

    Weixing Cao

  • ALARC, USDA ARS, Maricopa, USA

    Jeffrey W. White

  • CSIRO Land and Water, Canberra

    Enli Wang

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