Author

E. R. Morgan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Zoology· 2 Animal Behavior & Cognition· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:chicken / avian· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. S. Cooke· 2 shared J. Ventura-Cordero· 2 shared L. C. Gwiriri· 2 shared M. R. F. Lee· 2 shared T. Takahashi· 2 shared A. Louro-Lopez· 1 shared A. Safalaoh· 1 shared A. W. Dowsey· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersZoology

A. S. Cooke

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Nutritional characterisation and seasonal variation of goat forages in Central Malawi

A. S. Cooke, W. Mvula, J. Ventura-Cordero, L. C. Gwiriri, T. Takahashi, E. R. Morgan, M. R. F. Lee, A. Safalaoh

This study characterizes the nutritional profile and seasonal variation of goat forages in Central Malawi, finding that forage nutrition and availability are highest in the wet season and decline in the dry season, creating a seasonal nutrition gap.

bioRxiv · Dec 22, 2023Zoology

Opportunities to improve goat production and food security in Botswana through forage nutrition and the use of supplemental feeds

A. S. Cooke, H. Machekano, J. Ventura-Cordero, A. Louro-Lopez, V. Joseph, L. C. Gwiriri, T. Takahashi, E. R. Morgan, M. R. F. Lee, C. Nyamukondiwa

This study evaluates feed quality and supplementation strategies for goats in Botswana to improve nutrition and health, finding significant seasonal and soil-type variations in feed nutrition and higher supplement consumption during the dry season.

bioRxiv · Dec 4, 2023Zoology

Novel epidemiological model of gastrointestinal-nematode infection to assess grazing cattle resilience by integrating host growth, parasite, grass and environmental dynamics

J. A. N. Filipe, I. Kyriazakis, C. McFarland, E. R. Morgan

This paper develops a novel epidemiological model of gastrointestinal nematode infection in grazing cattle, integrating host growth, parasite dynamics, grass availability, and weather to predict infection resilience and inform sustainable control strategies.

bioRxiv · May 14, 2022Ecology

Early prediction of declining health in small ruminants with accelerometers and machine learning

A. X. Montout, R. S. Bhamber, D. S. Lange, D. Z. Ndlovu, E. R. Morgan, C. C. Ioannou, T. H. Terrill, J. A. Van Wyk, T. Burghardt, A. W. Dowsey

This study uses accelerometers and machine learning to predict health decline in small ruminants, achieving up to 83% precision in detecting changes in FAMACHA scores.

bioRxiv · Aug 3, 2020 · PreprintAnimal Behavior & Cognition