Scale and Complexity in Plant Systems Research : Gene-Plant-Crop Relations. This item is unavailable.Scale and Complexity in Plant Systems Research : Gene-Plant-Crop Relations

The growing demand for food and increasing scarcity of fertile land and other resources (water, energy, etc. ) present multiple challenges to plant and crop scientists to meet the demands of future generations while protecting the environment and conserve biological diversity. Novel directions in linking basic plant sciences to crop and systems research are needed to meet the growing demand for food in a sustainable way. Crop performance can be changed by modifying genetic traits of the plant through plant breeding or changing the crop environment through agronomic management practices. To achieve that, systems analysis and modelling play an important role by integrating and evaluating new findings at the gene and plant level at higher scales of aggregation. Robust crop-physiological modelling can become an essential tool to use insights from functional genomics in explaining crop behaviour. Current crop models can predict crop performance over a range of environmental conditions. Recently QTL information has been incorporated into crop models, and this has proved the potential of narrowing genotype– phenotype gaps and of applying QTL-based models for the analysis of genotype-- environment interactions. To make further progress, model structure must be upgraded to allow for more physiological feedback features. Model input parameters should be designed to be potentially grounded in gene-level understanding. Integration of crop modelling into genetic and genomic researches can enhance the future position of crop physiology in ‘plant breeding by design’ (Yin, X.

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.