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 424581
Title Large scale phenotyping and data analysis of pepper genotypes in the EU-SPICY project
Author(s) Dieleman, J.A.; Magán, J.J.; Wubs, A.M.; Palloix, A.; Lenk, S.; Glasbey, C.; Eeuwijk, F.A. van
Source In: Acta Horticulturae. - ISHS - ISBN 9789066050488 - p. 299 - 306.
Event XXVIII International Horticultural Congress on Science and Horticulture for People (IHC2010): International Symposium on Genomics and Genetic Transformation of Horticultural Crops, Lisbon, Portugal, 2010-08-22/2010-08-27
DOI http://dx.doi.org/10.17660/ActaHortic.2012.929.44
Department(s) WUR GTB Gewasfysiologie Management en Model
Horticultural Supply Chains
Biometris (WU MAT)
PE&RC
Publication type Contribution in proceedings
Publication year 2012
Abstract In breeding the best genotypes for diverse conditions, ideally the breeder should test all his crossings under all these conditions. Especially with complex physiological traits like yield, which exhibit large variation, this would require many expensive and large field trials. The EU project “Smart tools for Prediction Improvement of Crop Yield” (SPICY) aims at the development of a suite of tools to help breeders in predicting phenotypic response of genotypes for complex traits under a range of environmental conditions. Pepper is used as a model crop. The primary tool to be developed is an integrated gene-to-phenotype model, which integrates the approaches of QTL and crop growth modelling. To generate data to develop and validate these models, a recombinant inbred line (RIL) population of Capsicum annuum ‘Yolo Wonder’ × ‘Criollo de Morelos 334’ was phenotyped at two sites (Netherlands and Spain) and in two seasons (spring and autumn). Phenotyping was done both manually by measuring characteristics like fruit set and development rate, and by newly developed image analysis and fluorescence tools permitting high throughput phenotyping of dynamic trait expression. In the analysis of the data, the complex trait yield was analysed in the components contributing to the total fresh fruit yield. The results of the phenotyping experiments will be used as input in the crop growth models. The genotype-to-phenotype model, combination of crop growth models and QTL analysis tools which will be developed in the EU-SPICY project will be able to predict phenotypic response based on genetic information.
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