Systems approaches for agricultural development

1. Front Matter

   Pages i-xii

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2. Crop production: genotypic constraints

   1. Front Matter

      Pages 1-1

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   2. Designing improved plant types: a breeder’s viewpoint

      • L. A. Hunt

      Pages 3-17

   3. Improvement of rice plant type concepts: systems research enables interaction of physiology and breeding

      • M. Dingkuhn, F. W. T. Penning De Vries, K. M. Miezan

      Pages 19-35

   4. Designing improved plant types for the semiarid tropics: agronomists’ viewpoints

      • R. C. Muchow, P. S. Carberry

      Pages 37-61

   5. Simulation in pre-testing of rice genotypes in Tamil Nadu

      • S. Palanisamy, F. W. T. Penning de Vries, S. Mohandass, T. M. Thiyagarajan, A. Abdul Kareem

      Pages 63-75

   6. Genetic specific data for crop modeling

      • J. T. Ritchie

      Pages 77-93

3. Crop production: weather constraints

   1. Front Matter

      Pages 95-95

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   2. Agro-ecological zoning using crop growth simulation models: characterization of wheat environments of India

      • P. K. Aggarwal

      Pages 97-109

   3. An agroclimatic approach to agricultural development in India

      • R. K. Singh, D. N. Singh

      Pages 111-125

   4. Optimising harvest operations against weather risk

      • G. Y. Abawi

      Pages 127-143

   5. The impacts of c1imate change on rice yield: evaluation of the efficacy of different modeling approaches

      • D. Bachelet, J. Van Sickle, C. A. Gay

      Pages 145-174

   6. Rice production and climate change

      • F. W. T. Penning De Vries

      Pages 175-189

4. Crop production: soil constraints

   1. Front Matter

      Pages 191-191

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   2. A systems approach to the assessment and improvement of water use efficiency in the North China plain

      • Tian-Duo WAng

      Pages 193-205

   3. Soil data for crop-soil models

      • J. Bouma, M. C. S. Wopereis, J. H. M. Wösten, A. Stein

      Pages 207-220

   4. Root ventilation, rhizosphere modification, and nutrient uptake by rice

      • G. J. D. Kirk

      Pages 221-232

   5. Adjustment of nitrogen inputs in response to a seasonal forecast in a region of high climatic risk

      • B. A. Keating, R. L. Mccown, B. M. Wafula

      Pages 233-252

   6. Maize modeling in Malawi: a tool for soil fertility research and development

      • Upendra Singh, Philip K. Thornton, Alex R. Saka, J. B. Dent

      Pages 253-273

5. Crop production: biological constraints

   1. Front Matter

      Pages 275-275

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Agriculture is changing rapidly all over the world. Intensification, diversification, optimizing scarce resources, integrated pest management, sustainability and climate change are key issues for agricultural institutes. The best solutions will be found by integrating disciplines. Organized thinking about future farming requires forecasting of the implications of alternative ways to farm and to develop agriculture. Systems thinking and systems simulation are indispensable tools for such integration and extrapolation. About 150 scientists and senior research leaders from all over the world participated in the symposium `Systems Approaches for Agricultural Development' to discuss these issues. The symposium reviewed the status of systems research and modeling in agriculture, with special reference to evaluating their efficacy and efficiency for achieving research goals, and to their application in developing countries, promoted international cooperation in modeling, and increased awareness of systems research and simulation.
This book comprises the papers on the technical subjects. Well informed authors describe and illustrate how systems research was used to improve agricultural production systems of all continents and in diverse environments.

• Soil fertility
• breeding
• cropping systems
• crops
• environment
• maize
• multi-objective optimization
• nitrogen
• nutrient uptake
• optimization
• physiology
• rhizosphere
• sustainability
• wheat

• DLO Centre for Agrobiological Research, Wageningen, The Netherlands

  Frits Penning de Vries, Klaas Metselaar

• International Rice Research Institute, Manila, Philippines

  Paul Teng

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