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

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 ce...

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Những tác giả chính: Virlet, Nicolas, Lyra, Danilo H., Hawkesford, Malcolm J.
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Ngôn ngữ:Tiếng Anh
Được phát hành: Burleigh Dodds Science Publishing 2023
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author Virlet, Nicolas
Lyra, Danilo H.
Hawkesford, Malcolm J.
author_browse Hawkesford, Malcolm J.
Lyra, Danilo H.
Virlet, Nicolas
author_facet Virlet, Nicolas
Lyra, Danilo H.
Hawkesford, Malcolm J.
author_sort Virlet, Nicolas
collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Burleigh Dodds Science Publishing
publisherStr Burleigh Dodds Science Publishing
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spelling doab-20.500.12854ir-976072024-04-14T10:28:51Z Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops Virlet, Nicolas Lyra, Danilo H. Hawkesford, Malcolm J. Phenomics field phenotyping G2P modelling envirotyping breeding thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences 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. 2023-03-03T04:08:59Z 2023-03-03T04:08:59Z 2023-02-27T12:21:45Z 2022 chapter ONIX_20230227_9781801463126_36 https://library.oapen.org/handle/20.500.12657/61524 9781801463126 https://directory.doabooks.org/handle/20.500.12854/97607 eng Burleigh Dodds Series in Agricultural Science open access image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/61524/1/9781801463126_web.pdf https://library.oapen.org/bitstream/20.500.12657/61524/1/9781801463126_web.pdf Burleigh Dodds Science Publishing Burleigh Dodds Science Publishing 10.19103/AS.2022.0102.12 10.19103/AS.2022.0102.12 7f047d73-123f-4ae5-87fd-34c46926a6f9 Rothamsted Research 7c1b4f65-1bfe-4cea-9a5b-326d0b422637 9781801463126 Burleigh Dodds Science Publishing 40 Cambridge [...] open access
spellingShingle Phenomics
field phenotyping
G2P
modelling
envirotyping
breeding
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
Virlet, Nicolas
Lyra, Danilo H.
Hawkesford, Malcolm J.
Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title_full Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title_fullStr Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title_full_unstemmed Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title_short Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
title_sort digital phenotyping and genotype to phenotype g2p models to predict complex traits in cereal crops
topic Phenomics
field phenotyping
G2P
modelling
envirotyping
breeding
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
topic_facet Phenomics
field phenotyping
G2P
modelling
envirotyping
breeding
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
url ONIX_20230227_9781801463126_36
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AT hawkesfordmalcolmj digitalphenotypingandgenotypetophenotypeg2pmodelstopredictcomplextraitsincerealcrops