Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops

B - Book chapters etc edited externally

Virlet, N., Lyra, D. H. and Hawkesford, M. J. 2022. Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops. in: Walter, A. (ed.) Advances in plant phenotyping for more sustainable crop production Burleigh Dodds.

AuthorsVirlet, N., Lyra, D. H. and Hawkesford, M. J.
EditorsWalter, A.
Abstract

The revolution in digital phenotyping combined with the new layers of omics and envirotyping tools offers great promise to improve selection and accelerate genetic gains for crop improvement. This chapter examines the latest methods involving digital phenotyping tools to predict complex traits in cereals crops. The chapter has two parts. In the first part, entitled “Digital phenotyping as a tool to support breeding programs”, the secondary phenotypes measured by high-throughput plant phenotyping that are potentially useful for breeding are reviewed. In the second part, “Implementing complex G2P models in breeding programs”, the integration of data from digital phenotyping into genotype to phenotype (G2P) models to improve the prediction of complex traits using genomic information is discussed. The current status of statistical models to incorporate secondary traits in univariate and multivariate models, as well as how to better handle longitudinal (for example light interception, biomass accumulation, canopy height) traits, is reviewed

KeywordsPhenomics; Field Phenotyping; G2P; Modelling; Envirotyping; Breeding
Year of Publication2022
Book titleAdvances in plant phenotyping for more sustainable crop production
PublisherBurleigh Dodds
ISBN9781786768568
Digital Object Identifier (DOI)https://doi.org/10.19103/AS.2022.0102.12
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeDesigning Future Wheat - WP1 - Increased efficiency and sustainability
Open accessPublished as ‘gold’ (paid) open access
Publisher's version
Output statusE-publication ahead of print
Publication dates
Online20 Jun 2022

Permalink - https://repository.rothamsted.ac.uk/item/986yy/digital-phenotyping-and-genotype-to-phenotype-g2p-models-to-predict-complex-traits-in-cereal-crops

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