UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation

Lawrence Percival‐Alwyn; Ian Barnes; Matthew D. Clark; James Cockram; Michael P. Coffey; Susan Jones; Paul J. Kersey; Catherine A. Kidner; Carolin Kosiol; Bingjie Li; William A. Marsh; Ji Zhou; Mario Caccamo; Iain Milne

doi:10.1002/ppp3.10607

UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation

Lawrence Percival‐Alwyn^*, Ian Barnes, Matthew D. Clark, James Cockram, Michael P. Coffey, Susan Jones, Paul J. Kersey, Catherine A. Kidner, Carolin Kosiol, Bingjie Li, William A. Marsh, Ji Zhou, Mario Caccamo, Iain Milne^*

^*Corresponding author for this work

Research output: Contribution to journal › Report/ Case Report › peer-review

8 Citations (Scopus)

Abstract

Societal Impact Statement: Diverse gene pools are fundamental to crop improvement, biodiversity maintenance and environmental management. The UKCropDiversity‐HPC high‐performance computing resource enables seven UK institutes to perform plant and conservation research with increased efficiency, cost‐effectiveness and environmental sustainability. It supports research across numerous areas, including bioinformatics, genetics, phenomics and conservation ‐ including Artificial Intelligence approaches. Its utilisation supports many United Nations Sustainable Development Goals, including Goals‐2 (Zero Hunger), −13 (Climate Action), −15 (Life on Land), −9 (Industry, Innovation and Infrastructure) and −4 (Quality Education). Accordingly, UKCropDiversity‐HPC helps maximise the societal impact of research undertaken at our seven institutes, driving positive change for future generations.

Original language	English
Pages (from-to)	969-977
Journal	Plants, People, Planet
Volume	7
Issue number	4
Early online date	5 Dec 2024
DOIs	https://doi.org/10.1002/ppp3.10607
Publication status	Print publication - Jul 2025

Keywords

plant science
collaborative research
sustainable agriculture
high‐performance computing
data science
bioinformatics
omics
biodiversity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Plants People Planet - 2024 - Percival‐Alwyn - UKCropDiversity‐HPC A collaborative high‐performance computing resourceFinal published version, 618 KBLicence: CC BY

Cite this

Percival‐Alwyn, L., Barnes, I., Clark, M. D., Cockram, J., Coffey, M. P., Jones, S., Kersey, P. J., Kidner, C. A., Kosiol, C., Li, B., Marsh, W. A., Zhou, J., Caccamo, M., & Milne, I. (2025). UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation. Plants, People, Planet, 7(4), 969-977. https://doi.org/10.1002/ppp3.10607

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title = "UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation",

abstract = "Societal Impact Statement: Diverse gene pools are fundamental to crop improvement, biodiversity maintenance and environmental management. The UKCropDiversity‐HPC high‐performance computing resource enables seven UK institutes to perform plant and conservation research with increased efficiency, cost‐effectiveness and environmental sustainability. It supports research across numerous areas, including bioinformatics, genetics, phenomics and conservation ‐ including Artificial Intelligence approaches. Its utilisation supports many United Nations Sustainable Development Goals, including Goals‐2 (Zero Hunger), −13 (Climate Action), −15 (Life on Land), −9 (Industry, Innovation and Infrastructure) and −4 (Quality Education). Accordingly, UKCropDiversity‐HPC helps maximise the societal impact of research undertaken at our seven institutes, driving positive change for future generations.",

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author = "Lawrence Percival‐Alwyn and Ian Barnes and Clark, \{Matthew D.\} and James Cockram and Coffey, \{Michael P.\} and Susan Jones and Kersey, \{Paul J.\} and Kidner, \{Catherine A.\} and Carolin Kosiol and Bingjie Li and Marsh, \{William A.\} and Ji Zhou and Mario Caccamo and Iain Milne",

year = "2025",

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doi = "10.1002/ppp3.10607",

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Percival‐Alwyn, L, Barnes, I, Clark, MD, Cockram, J, Coffey, MP, Jones, S, Kersey, PJ, Kidner, CA, Kosiol, C, Li, B, Marsh, WA, Zhou, J, Caccamo, M & Milne, I 2025, 'UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation', Plants, People, Planet, vol. 7, no. 4, pp. 969-977. https://doi.org/10.1002/ppp3.10607

TY - JOUR

T1 - UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation

AU - Percival‐Alwyn, Lawrence

AU - Barnes, Ian

AU - Clark, Matthew D.

AU - Cockram, James

AU - Coffey, Michael P.

AU - Jones, Susan

AU - Kersey, Paul J.

AU - Kidner, Catherine A.

AU - Kosiol, Carolin

AU - Li, Bingjie

AU - Marsh, William A.

AU - Zhou, Ji

AU - Caccamo, Mario

AU - Milne, Iain

PY - 2025/7

Y1 - 2025/7

N2 - Societal Impact Statement: Diverse gene pools are fundamental to crop improvement, biodiversity maintenance and environmental management. The UKCropDiversity‐HPC high‐performance computing resource enables seven UK institutes to perform plant and conservation research with increased efficiency, cost‐effectiveness and environmental sustainability. It supports research across numerous areas, including bioinformatics, genetics, phenomics and conservation ‐ including Artificial Intelligence approaches. Its utilisation supports many United Nations Sustainable Development Goals, including Goals‐2 (Zero Hunger), −13 (Climate Action), −15 (Life on Land), −9 (Industry, Innovation and Infrastructure) and −4 (Quality Education). Accordingly, UKCropDiversity‐HPC helps maximise the societal impact of research undertaken at our seven institutes, driving positive change for future generations.

AB - Societal Impact Statement: Diverse gene pools are fundamental to crop improvement, biodiversity maintenance and environmental management. The UKCropDiversity‐HPC high‐performance computing resource enables seven UK institutes to perform plant and conservation research with increased efficiency, cost‐effectiveness and environmental sustainability. It supports research across numerous areas, including bioinformatics, genetics, phenomics and conservation ‐ including Artificial Intelligence approaches. Its utilisation supports many United Nations Sustainable Development Goals, including Goals‐2 (Zero Hunger), −13 (Climate Action), −15 (Life on Land), −9 (Industry, Innovation and Infrastructure) and −4 (Quality Education). Accordingly, UKCropDiversity‐HPC helps maximise the societal impact of research undertaken at our seven institutes, driving positive change for future generations.

KW - plant science

KW - collaborative research

KW - sustainable agriculture

KW - high‐performance computing

KW - data science

KW - bioinformatics

KW - omics

KW - biodiversity

U2 - 10.1002/ppp3.10607

DO - 10.1002/ppp3.10607

M3 - Report/ Case Report

SN - 2572-2611

VL - 7

SP - 969

EP - 977

JO - Plants, People, Planet

JF - Plants, People, Planet

IS - 4

ER -

UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation

Abstract

Keywords

UN SDGs

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