Author

A. S. Cooke

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· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

E. R. Morgan· 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 C. Nyamukondiwa· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersZoology

E. R. Morgan

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3 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

Livestock heat stress risk in response to the extreme heat event (heatwave) of July 2022 in the UK

A. S. Cooke, M. J. Rivero

This study assesses livestock heat stress risk during the July 2022 UK heatwave using meteorological data and heat stress thresholds, finding severe risk across 25% of sites and extreme risk across 5%.

bioRxiv · May 18, 2023 · PreprintZoology