2026-06-10T02:25:03+02:00 https://library.wur.nl/oai

oai:library.wur.nl:wurpubs/424581 2026-03-31

urn:nbn:nl:ui:32-424581 2026-03-31 urn:nbn:nl:ui:32-424581/mods Large scale phenotyping and data analysis of pepper genotypes in the EU-SPICY project Dieleman J.A. 170519376 0000000358033537 aut Magán J.J. aut Wubs A.M. 294248579 0000000388696032 aut Palloix A. aut Lenk S. aut Glasbey C. aut van Eeuwijk F.A. 145758982 0000-0003-3672-2921 0000000359533381 aut text info:eu-repo/semantics/conferencePaper ISHS 2012 10.17660/ActaHortic.2012.929.44 2-s2.0-84863609376 en 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. PE&RC Horticultural Supply Chains Mathematical and Statistical Methods (MAT) WUR GTB Gewasfysiologie Management en Model 'Yolo Wonder' CM 334 Fruit set Growth analysis RIL population Yield PE&RC Leerstoelgroep Tuinbouwproductieketens Mathematical and Statistical Methods (MAT) WUR GTB Gewasfysiologie Management en Model Acta Horticulturae R.E. Litz edt K.M. Folta edt M. Talon edt F. Pliego Alfaro edt 2012 ISHS 9789066050488 urn:nbn:nl:ui:32-424581/obj 2026-03-31 http://purl.org/eprint/accessRights/RestrictedAccess