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Fig. 1 | Animal Microbiome

Fig. 1

From: An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows

Fig. 1

The rumen microbiome signature as a path for predicting feed efficiency and improving the selection of dairy cows with a lower carbon footprint. 1.A. Mechanism of how the prediction and selection for feed efficiency could be improved by adding the rumen microbiome signature for a trait or potential biomarkers. The illustration depicts the reliability issue of residual feed intake (RFI), one of the main feed efficiency traits under investigation. 1Citation: B. Li, et al. Genomic prediction of residual feed intake in US Holstein dairy cattle. J. Dairy Sci. 103 (3): 2477–2486, https://doi.org/10.3168/jds.2019-17332 (2020); 1.B. Scheme depicting an example of the proposed method to explore the potential variation from the rumen microbiome composition in production traits. The prediction was based on feature engineering and taking into account each taxonomy level and data structure may have additional explainability to model

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Animal Microbiome

ISSN: 2524-4671