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 › Article › peer-review

Abstract

Societal Impact StatementDiverse 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
Number of pages	9
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	Published - 5 Dec 2024

UN SDGs

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

SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Biodiversity
Bioinformatics
Collaborative research
Data science
High-performance computing
Omics
Plant science
Sustainable agriculture

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Percival-Alwyn_2024_PPP_UKCropDiversity-HPC_CC
Copyright © 2024 The Author(s). Plants, People, Planet published by John Wiley & Sons Ltd on behalf of New Phytologist Foundation. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Final published version, 618 KBLicence: CC BY

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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. (2024). 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

@article{eac719327a3f42049907ae2465e2c7ae,

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

abstract = "Societal Impact StatementDiverse 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.",

keywords = "Biodiversity, Bioinformatics, Collaborative research, Data science, High-performance computing, Omics, Plant science, Sustainable agriculture",

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",

note = "Funding: UKCropDiversity-HPC is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) Advanced Life Sciences Research Technology Initiative (ALERT) grants BB/S019669/1 and BB/X019683/1, and The Department of Business, Energy and Industrial Strategy Public Sector Research Establishment Infrastructure Fund.",

year = "2024",

month = dec,

day = "5",

doi = "10.1002/ppp3.10607",

language = "English",

volume = "7",

pages = "969--977",

journal = "Plants, People, Planet",

issn = "2572-2611",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "4",

}

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 2024, '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

T2 - 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

N1 - Funding: UKCropDiversity-HPC is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) Advanced Life Sciences Research Technology Initiative (ALERT) grants BB/S019669/1 and BB/X019683/1, and The Department of Business, Energy and Industrial Strategy Public Sector Research Establishment Infrastructure Fund.

PY - 2024/12/5

Y1 - 2024/12/5

N2 - Societal Impact StatementDiverse 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 StatementDiverse 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 - Biodiversity

KW - Bioinformatics

KW - Collaborative research

KW - Data science

KW - High-performance computing

KW - Omics

KW - Plant science

KW - Sustainable agriculture

U2 - 10.1002/ppp3.10607

DO - 10.1002/ppp3.10607

M3 - Article

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

UN SDGs

Keywords

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