Spiertz, J.H.J.; Struik, P.C.; Laar, H.H. van (Eds.)2007, X, 332 p., Softcover
ISBN: 978-1-4020-5905-6
About this book
This book presents and discusses new directions in plant systems research to bridge knowledge from the gene to the plant, crop and agro-ecosystem levels and to assist in solving problems in production ecology and resource use by identifying and applying new research methods. Functional genomics, systems biology and ecophysiological modelling of crop growth and development provide powerful tools for identifying genes and genotypes of agronomic importance. Despite remarkable advances in basic knowledge of plant genes and gene networks, there has been relatively little impact on crop improvement from the application of genomics and recombinant-DNA technology. Novel directions in linking plant sciences to crop and systems research are needed to meet the growing demand for food in a sustainable way. The challenge is to produce more food on the limited available land through more efficient use of natural resources and external inputs.
Genetics of plant performance are discussed using examples of Arabidopsis thaliana and food crops. The concept of ‘crop system biology’ is introduced. Within the theme ‘physiology and genetics’ traits and mechanisms to improve crop adaptation are discussed. Furthermore, various approaches in modelling G x E interactions and crop performance are presented. Some chapters are dedicated to the role of diversity in optimizing resource use and crop performance. An outlook and dialogue on future directions in plant system research challenges readers with contrasting opinions on the way forward concerning this critical issue for the future of food production.
Written for:
Research managers and policymakers; post-graduate students in the field of plant sciences
Table of Contents
Preface
| Preface | |
| N.A. Editors |
Chapters
| Genetic and molecular analysis of growth responses to environmental factors using Arabidopsis thaliana natural variation | |
| M. Reymond, B. Pieper, H. Barbier, A. Ihnatowicz, M. El-Lithy, D. Vreugdenhil, M. Koornneef | 1-11 |
| From QTLs to genes controlling root traits in maize | |
| R. Tuberosa, S. Salvi | 13-22 |
| Multi-trait multi-environment QTL modelling for drought-stress adaptation in maize | |
| M. Malosetti, J.M. Ribaut, M. Vargas, J. Crossa, M.P. Boer, F.A. Van Eeuwijk | 23-34 |
| Accounting for variability in the detection and use of markers for simple and complex traits | |
| S.C. Chapman, J. Wang, G.J. Rebetzke, D.G. Bonnett | 35-42 |
| An integrated systems approach to crop improvement | |
| G.L. Hammer, D.R. Jordan | 43-59 |
| Crop systems biology: an approach to connect functional genomics with crop modelling | |
| X. Yin, P.C. Struik | 61-71 |
| A modelling approach to genotype × environment interaction: genetic analysis of the response of maize growth to environmental conditions | |
| W. Sadok, B. Boussuge, C. Welcker, F. Tardieu | 75-89 |
| Modelling genotype × environment × management interactions to improve yield, water use efficiency and grain protein in wheat | |
| S. Asseng, N.C. Turner | 91-102 |
| Physiological processes to understand genotype × environment interactions in maize silking dynamics | |
| L. Borrás, M.E. Westgate, J.P. Astini | 103-111 |
| Modelling the genetic basis of response curves underlying genotype x environment interaction | |
| F.A. Van Eeuwijk, M. Malosetti, M.P. Boer | 113-124 |
| Physiological interventions in breeding for adaptation to abiotic stress | |
| M.P. Reynolds, R.M. Trethowan | 127-144 |
| Physiological traits for improving wheat yield under a wide range of conditions | |
| G.A. Slafer, J.L. Araus | 145-154 |
| Is plant growth driven by sink regulation? Implications for crop models, phenotyping approaches and ideotypes | |
| M. Dingkuhn, D. Luquet, A. Clément-Vidal, L. Tambour, H.K. Kim, Y.H. Song | 155-168 |
| Yield improvement associated with Lr19 translocation in wheat: which plant attributes are modified? | |
| D.J. Miralles, E. Resnicoff, R. Carretero | 169-176 |
| Simulation analysis of physiological traits to improve yield, nitrogen use efficiency and grain protein concentration in wheat | |
| P. Martre, M.A. Semenov, P.D. Jamieson | 179-199 |
| An architectural approach to investigate maize response to low temperature | |
| K. Chenu, C. Fournier, B. Andrieu, C. Giauffret | 201-210 |
| Tillering in spring wheat: a 3D virtual plant-modelling study | |
| J.B. Evers, J. Vos | 211-219 |
| Use of crop growth models to evaluate physiological traits in genotypes of horticultural crops | |
| E. Heuvelink, L.F.M. Marcelis, M.J. Bakker, A. Van der Ploeg | 221-231 |
| Role of root clusters in phosphorus acquisition and increasing biological diversity in agriculture | |
| H. Lambers, M.W. Shane | 235-248 |
| Prospects for genetic improvement to increase lowland rice yields with less water and nitrogen | |
| S. Peng, B.A.M. Bouman | 249-264 |
| Exploiting diversity to manage weeds in agro-ecosystems | |
| L. Bastiaans, D.L. Zhao, N.G. Den Hollander, D.T. Baumann, H.M. Kruidhof, M.J. Kropff | 265-282 |
| When can intelligent design of crops by humans outperform natural selection? | |
| R.F. Denison | 285-300 |
| Integrated assessment of agricultural systems at multiple scales | |
| M.K. Van Ittersum, J. Wery | 301-315 |
| A dialogue on interdisciplinary collaboration to bridge the gap between plant genomics and crop sciences | |
| P.C. Struik, K.G. Cassman, M. Koornneef | 317-326 |
Lists
| List of reviewers | |
| N.A. Editors |
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