Crop growth models for the -omics era: the EU-SPICY project

R.E. Voorrips, A. Palloix, J.A. Dieleman, M.C.A.M. Bink, E. Heuvelink, G.W.A.M. van der Heijden, M. Vuylsteke, C. Glasbey, A. Barócsi, J. Magán, F.A. van Eeuwijk

Research output: Chapter in Book/Report/Conference proceedingConference paper

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.
Original languageEnglish
Title of host publicationAdvances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant
EditorsJ. Prohens, A. Rodriguez-Burruezo
Place of PublicationValencia, Spain
PublisherEditorial Universidad Politécnica de Valencia, Valencia, Spain
Pages315-321
ISBN (Print)9788469341391
Publication statusPublished - 2010
EventXIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant -
Duration: 30 Aug 20101 Sep 2010

Conference

ConferenceXIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant
Period30/08/101/09/10

Fingerprint

crop models
growth models
phenotype
prediction
greenhouse production
genotype
quantitative genetics
Capsicum annuum
phenotypic variation
pepper
genotyping
crop yield
quantitative trait loci
statistics
physiology
transcription (genetics)
analysis of variance
genomics
environmental factors
monitoring

Cite this

Voorrips, R. E., Palloix, A., Dieleman, J. A., Bink, M. C. A. M., Heuvelink, E., van der Heijden, G. W. A. M., ... van Eeuwijk, F. A. (2010). Crop growth models for the -omics era: the EU-SPICY project. In J. Prohens, & A. Rodriguez-Burruezo (Eds.), Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant (pp. 315-321). Valencia, Spain: Editorial Universidad Politécnica de Valencia, Valencia, Spain.
Voorrips, R.E. ; Palloix, A. ; Dieleman, J.A. ; Bink, M.C.A.M. ; Heuvelink, E. ; van der Heijden, G.W.A.M. ; Vuylsteke, M. ; Glasbey, C. ; Barócsi, A. ; Magán, J. ; van Eeuwijk, F.A. / Crop growth models for the -omics era: the EU-SPICY project. Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant. editor / J. Prohens ; A. Rodriguez-Burruezo. Valencia, Spain : Editorial Universidad Politécnica de Valencia, Valencia, Spain, 2010. pp. 315-321
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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.",
author = "R.E. Voorrips and A. Palloix and J.A. Dieleman and M.C.A.M. Bink and E. Heuvelink and {van der Heijden}, G.W.A.M. and M. Vuylsteke and C. Glasbey and A. Bar{\'o}csi and J. Mag{\'a}n and {van Eeuwijk}, F.A.",
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pages = "315--321",
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booktitle = "Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant",
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Voorrips, RE, Palloix, A, Dieleman, JA, Bink, MCAM, Heuvelink, E, van der Heijden, GWAM, Vuylsteke, M, Glasbey, C, Barócsi, A, Magán, J & van Eeuwijk, FA 2010, Crop growth models for the -omics era: the EU-SPICY project. in J Prohens & A Rodriguez-Burruezo (eds), Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant. Editorial Universidad Politécnica de Valencia, Valencia, Spain, Valencia, Spain, pp. 315-321, XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant, 30/08/10.

Crop growth models for the -omics era: the EU-SPICY project. / Voorrips, R.E.; Palloix, A.; Dieleman, J.A.; Bink, M.C.A.M.; Heuvelink, E.; van der Heijden, G.W.A.M.; Vuylsteke, M.; Glasbey, C.; Barócsi, A.; Magán, J.; van Eeuwijk, F.A.

Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant. ed. / J. Prohens; A. Rodriguez-Burruezo. Valencia, Spain : Editorial Universidad Politécnica de Valencia, Valencia, Spain, 2010. p. 315-321.

Research output: Chapter in Book/Report/Conference proceedingConference paper

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AU - Bink, M.C.A.M.

AU - Heuvelink, E.

AU - van der Heijden, G.W.A.M.

AU - Vuylsteke, M.

AU - Glasbey, C.

AU - Barócsi, A.

AU - Magán, J.

AU - van Eeuwijk, F.A.

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N2 - 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.

AB - 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.

M3 - Conference paper

SN - 9788469341391

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BT - Advances in Genetics and Breeding of Capsicum and Eggplant : Proceedings of the XIVth EUCARPIA Meeting on genetics and breeding of Capsicum and Eggplant

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PB - Editorial Universidad Politécnica de Valencia, Valencia, Spain

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ER -

Voorrips RE, Palloix A, Dieleman JA, Bink MCAM, Heuvelink E, van der Heijden GWAM et al. Crop growth models for the -omics era: the EU-SPICY project. In Prohens J, Rodriguez-Burruezo A, editors, 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. 2010. p. 315-321