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 428511
Title Modelling gene-trait-crop relationships: past experiences and future prospects
Author(s) Yin, X.; Struik, P.C.
Source In: Proceedings of the IV International Symposium on Models for Plant Growth, Environmental Control and Farm Management in Protected Cultivation. - - p. 181 - 190.
Event HortiModel2012, 2012-11-04/2012-11-08
DOI https://doi.org/10.17660/ActaHortic.2012.957.20
Department(s) Crop and Weed Ecology
PE&RC
Publication type Contribution in proceedings
Publication year 2012
Abstract Classical crop models have long been established to understand crop responses to environmental factors, by integrating quantitative functional relationships for various physiological processes. In view of the potential added value of robust crop modelling to classical quantitative genetics, model-input parameters or traits are increasingly considered to represent ‘genetic coefficients’. A number of case studies, in which the effects of quantitative trait loci or genes have been incorporated into existing ecophysiological models to replace model-input traits, have shown promise of using models in analyzing genotype-phenotype relationships of more complex crop traits. Studies of functional genomics will increasingly enable the elucidation of the molecular genetic basis of these model-input traits. To fulfil the great expectations from this integrated modelling, crop models should be upgraded based on understandings at lower organizational levels. The recently proposed ‘crop systems biology’, which combines modern genomics, traditional physiology and biochemistry, and advanced modelling, is believed ultimately to realize the expected roles of in silico modelling in narrowing genotype-phenotype gaps. We will summarise recent research activities and express our opinions on perspectives for modelling genotype-by-environment interactions at crop level.
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