Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 367561
Title Applying modelling experiences from the past to shape crop systems biology : the need to converge crop physiology and functional genomics
Author(s) Yin, X.; Struik, P.C.
Source New Phytologist 179 (2008)3. - ISSN 0028-646X - p. 629 - 642.
DOI https://doi.org/10.1111/j.1469-8137.2008.02424.x
Department(s) Crop and Weed Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) to-phenotype relationships - quantitative trait loci - in-silico plant - c-3 photosynthesis - genetic-control - flowering time - use efficiency - ecophysiological model - co2 concentrations - increase yield
Abstract Functional genomics has been driven greatly by emerging experimental technologies. Its development as a scientific discipline will be enhanced by systems biology, which generates novel, quantitative hypotheses via modelling. However, in order to better assist crop improvement, the impact of developing functional genomics needs to be assessed at the crop level, given a projected diminishing effect of genetic alteration on phenotypes from the molecule to crop levels. This review illustrates a recently proposed research field, crop systems biology, which is located at the crossroads of crop physiology and functional genomics, and intends to promote communications between the two. Past experiences with modelling whole-crop physiology indicate that the layered structure of biological systems should be taken into account. Moreover, modelling not only plays a role in data synthesis and quantitative prediction, but certainly also in heuristics and system design. These roles of modelling can be applied to crop systems biology to enhance its contribution to our understanding of complex crop phenotypes and subsequently to crop improvement. The success of crop systems biology needs commitments from scientists along the entire knowledge chain of plant biology, from molecule or gene to crop and agro-ecosystem
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