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Review Articles

Omics technologies in poultry health and productivity – part 2: future applications in the poultry industry

ORCID Icon, , & ORCID Icon
Pages 418-423 | Received 27 Apr 2022, Accepted 27 May 2022, Published online: 27 Jun 2022

Figures & data

Figure 1. Overview of future integration of multi-omics measurements in precision livestock farming (PLF) technologies. Omics measures can target both the avian host and its microbiome. The type of omics analysis can target various biological layers, such as the (meta-)genome, (meta-)transcriptome, (meta-)proteome or the metabolome. These multi-omics measurements should be complemented with continuous monitoring of both avian physiological parameters and environmental measurements. All these data are integrated and processed in real-time using machine learning techniques and can be accessed from a mobile device such as a smartphone, tablet or computer. As such, the farmer can monitor the flock’s status and will be alerted when an increased risk of disease is detected. Furthermore, by using longitudinal monitoring, each flock serves as its own control, thereby solving the problem of inter-flock variability.

Figure 1. Overview of future integration of multi-omics measurements in precision livestock farming (PLF) technologies. Omics measures can target both the avian host and its microbiome. The type of omics analysis can target various biological layers, such as the (meta-)genome, (meta-)transcriptome, (meta-)proteome or the metabolome. These multi-omics measurements should be complemented with continuous monitoring of both avian physiological parameters and environmental measurements. All these data are integrated and processed in real-time using machine learning techniques and can be accessed from a mobile device such as a smartphone, tablet or computer. As such, the farmer can monitor the flock’s status and will be alerted when an increased risk of disease is detected. Furthermore, by using longitudinal monitoring, each flock serves as its own control, thereby solving the problem of inter-flock variability.

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