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 398805
Title Crop growth models for the -omics era: the EU-SPICY project
Author(s) Voorrips, R.E.; Palloix, A.; Dieleman, J.A.; Bink, M.C.A.M.; Heuvelink, E.; Heijden, G.W.A.M. van der; Vuylsteke, M.; Glasbey, C.; Barócsi, A.; Magán, J.; Eeuwijk, F.A. van
Source In: Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant. - Valencia, Spain : Editorial Universidad Politécnica de Valencia, Valencia, Spain - ISBN 9788469341391 - p. 315 - 321.
Event Valencia, Spain : Editorial Universidad Politécnica de Valencia, Valencia, Spain - ISBN 9788469341391 XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant, 2010-08-30/2010-09-01
Department(s) WUR Plant Breeding
Wageningen UR Greenhouse Horticulture
WUR GTB Gewasfysiologie Management en Model
Biometris (PPO/PRI)
Horticultural Supply Chains
Biometris (WU MAT)
PE&RC
Publication type Contribution in proceedings
Publication year 2010
Abstract The prediction of phenotypic responses from genetic and environmental information is an area of active research in genetics, physiology and statistics. Rapidly increasing amounts of phenotypic information become available as a consequence of high throughput phenotyping techniques, while more and cheaper genotypic data follow from the development of new genotyping platforms. , A wide array of -omics data can be generated linking genotype and phenotype. Continuous monitoring of environmental conditions has become an accessible option. This wealth of data requires a drastic rethinking of the traditional quantitative genetic approach to modeling phenotypic variation in terms of genetic and environmental differences. Where in the past a single phenotypic trait was partitioned in a genetic and environmental component by analysis of variance techniques, nowadays we desire to model multiple, interrelated and often time dependent, phenotypic traits as a function of genes (QTLs) and environmental inputs, while we would like to include transcription information as well. The EU project 'Smart tools for Prediction and Improvement of Crop Yield' (KBBE-2008-211347), or SPICY, aims at the development of genotype-to-phenotype models that fully integrate genetic, genomic, physiological and environmental information to achieve accurate phenotypic predictions across a wide variety of genetic and environmental configurations. Pepper (Capsicum annuum) is chosen as the model crop, because of the availability of genetically characterized populations and of generic models for continuous crop growth and greenhouse production. In the presentation the objectives and structure of SPICY as well as its philosophy will be discussed.
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