Scale and Complexity in Plant Systems Research - Gene-Plant-Crop Relations
Edited by Spiertz, J.H.J.; Struik, P.C.; Laar, H.H. van
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.
Hardcover 329 pp ISBN 9781402059049
Softcover 329 pp ISBN 9781402059056
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.
Of interest to: Research managers and policymakers; post-graduate students in the field of plant sciences
Genetics of plant performance: from molecular analysis to modeling:
1. Genetic and molecular analysis of growth responses to environmental factors using
Arabidopsis thaliana natural Variation; M. Reymond et al.
2. From QTLs to genes controlling root traits in maize; R. Tuberosa and S. Salvi.
3. Multi-trait multi-environment QTL modelling for drought stress adaptation in maize; M. Malosetti et al
4. Accounting for variability in the detection and use of markers for simple and complex traits; S.C.
Chapman et al.
5. An integrated systems approach to crop improvement; G.L. Hammer and D.R. Jordan.
6. Crop systems biology: an approach to connect functional genomics with crop modeling; X. Yin
and P.C. Struik.
Modelling genotype x environment interactions:
7. A modelling approach to genotype x environment interaction:genetic analysis of the response
of maize growth to environmental conditions; W. Sadok et al.
8. Modelling genotype x environment x management interactions to improve yield, water
use efficiency and grain protein in wheat; S. Asseng and N.C. Turner.
9. Physiological processes to understand genotype x environment interactions in maize silking dynamics;
L. Borrás, M.E. Westgate and J.P. Astini.
10. Modelling the genetic basis of response curves underlying genotype x environment interaction;
F.A. van Eeuwijk, M. Malosetti and M.P. Boer
Physiology and genetics of crop adaptation:
11. Physiological interventions in breeding for adaptation to abiotic stress; M.P. Reynolds and R.M. Trethowan
12. Physiological traits for improving wheat yield under a wide range of conditions; G.A. Slafer and
13. Is plant growth driven by sink regulation? Implications for crop models, phenotyping approaches
and ideotypes; M. Dingkuhn et al
14. Yield improvement associated with Lr19 translocation in wheat: which plant attributes are modified?;
D.J. Miralles, E. Resnicoff and R. Carretero.
Physiology and modelling of crop adaptation:
15. Simulation analysis of physiological traits to improve yield, nitrogen use efficiency and grain protein c
oncentration in wheat; P. Martre et al.
16. An architectural approach to investigate maize response to low temperature; K. Chenu et al.
17. Tillering in spring wheat: a 3D virtual plant-modelling study; J.B. Evers and J. Vos.
18. Use of crop growth models to evaluate physiological traits in genotypes of horticultural crops; E. Heuvelink et al.
Diversity, resource use and crop performance:
19. Role of root clusters in phosphorus acquisition and increasing biological diversity in agriculture; H. Lambers
and M.W. Shane.
20. Prospects for genetic improvement to increase lowland rice yields with less water and nitrogen; S. Peng and
21. Exploiting diversity to manage weeds in agro-ecosystems; L. Bastiaans et al.
Outlook and dialogue:
22. When can intelligent design of crops by humans outperform natural selection?; R.F. Denison.
23. Integrated assessment of agricultural systems at multiple scales; M.K. van Ittersum and J. Wery.
24. A dialogue on interdisciplinary collaboration to bridge the gap between plant genomics and crop sciences;
P.C. Struik et al
List of reviewers
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