Kirsty Hassall

NameKirsty Hassall
Job titleSenior Statistician
Email addresskirsty.hassall@rothamsted.ac.uk
DepartmentComputational and Analytical Sciences
Research clusterCAS: Statistics and Ecoinformatics
Preferred citationHassall, K. L.
OfficeHarpenden

Research outputs

Species matter when considering landscape effects on carabid distributions

Jowett, K., Milne, A. E., Metcalfe, H., Hassall, K. L., Potts, S. G., Senapathi, D. and Storkey, J. 2019. Species matter when considering landscape effects on carabid distributions. Agriculture, Ecosystems & Environment. 285 (2019), p. 106631.

Gradients of Gluten Proteins and Free Amino Acids along the Longitudinal Axis of the Developing Caryopsis of Bread Wheat

Shi, Z., Wang, Y., Wan, Y., Hassall, K. L., Jiang, D., Shewry, P. R. and Hawkesford, M. J. 2019. Gradients of Gluten Proteins and Free Amino Acids along the Longitudinal Axis of the Developing Caryopsis of Bread Wheat . Journal of Agricultural and Food Chemistry - JAFC. 67 (31), pp. 8706-8714.

The contribution of spatial mass effects to plant diversity in arable fields

Metcalfe, H., Hassall, K. L., Boinot, S. and Storkey, J. 2019. The contribution of spatial mass effects to plant diversity in arable fields . Journal of Applied Ecology.

ACE: Application for Conditional probability Elicitation

Hassall, K. L. 2019. ACE: Application for Conditional probability Elicitation. GitHub Rothamsted Research. doi:10.5281/zenodo.2563239

Facilitating the elicitation of beliefs for use in Bayesian Belief modelling

Hassall, K. L., Dailey, A. G., Zawadzka, J., Milne, A. E., Harris, J. A., Corstanje, R. and Whitmore, A. P. 2019. Facilitating the elicitation of beliefs for use in Bayesian Belief modelling. Environmental Modelling and Software. 122, p. 104539.

Accounting for data sparsity when forming spatially coherent zones

Hassall, K. L., Whitmore, A. P. and Milne, A. E. 2019. Accounting for data sparsity when forming spatially coherent zones. Applied Mathematical Modelling. 72 (August), pp. 537-552.

Genetic interactions between ABA signalling and the Arg/N-end rule pathway during Arabidopsis seedling establishment

Zhang, H., Gannon, L., Jones, P. D., Rundle, C. A., Hassall, K. L., Gibbs, D. J., Holdsworth, M. J. and Theodoulou, F. L. 2018. Genetic interactions between ABA signalling and the Arg/N-end rule pathway during Arabidopsis seedling establishment. Scientific Reports. 8, p. 15192.

New insights in the composition of wax and sterol esters in common and mutant sunflower oils revealed by ESI-MS/MS

Broughton, R., Ruíz-Lopez, N., Hassall, K. L., Martínez-Force, E., Garcés, R., Salas, J. J. and Beaudoin, F. 2018. New insights in the composition of wax and sterol esters in common and mutant sunflower oils revealed by ESI-MS/MS. Food Chemistry. 269, pp. 70-79.

Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study

Whetton, R. L., Hassall, K. L., Waine, T. W. and Mouazen, A. M. 2018. Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study. Biosystems Engineering. 166, pp. 101-115.

Beyond the one-way ANOVA for 'omics data

Hassall, K. L. and Mead, A. 2018. Beyond the one-way ANOVA for 'omics data. BMC Bioinformatics. 19 (Suppl 7), p. 199.

N-terminomics reveals control of Arabidopsis seed storage proteins and proteases by the Arg/N-end rule pathway

Zhang, H., Gannon, L., Hassall, K. L., Deery, M. J., Gibbs, D. J., Holdsworth, M. J., Van der Hoorn, R. A. L., Lilley, K. S. and Theodoulou, F. L. 2018. N-terminomics reveals control of Arabidopsis seed storage proteins and proteases by the Arg/N-end rule pathway. New Phytologist. 218 (3), pp. 1106-1126.

Statistics in Plant Science

Hassall, K. L. 2017. Statistics in Plant Science. GARNish.

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