TY  - BOOK
AU  - Virlet,Nicolas
AU  - Hawkesford,Malcolm J.
AU  - Lyra,Danilo H.
TI  - Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops
T2  - Burleigh Dodds Series in Agricultural Science
SN  - 9781801463126
PY  - 2022///
CY  - Cambridge
PB  - Burleigh Dodds Science Publishing
KW  - Agronomy & crop production
KW  - bicssc
KW  - Plant physiology
KW  - Sustainable agriculture
KW  - breeding
KW  - envirotyping
KW  - field phenotyping
KW  - G2P
KW  - modelling
KW  - Phenomics
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/id/f3729744-103a-4f4d-83b0-095906e9cb44/9781801463126_web.pdf
UR  - https://library.oapen.org/handle/20.500.12657/61524
ER  -