Harrison, C., Noleto-Dias, C., Ruvo, G., Hughes, D. J., Smith, D., Mead, A., Ward, J. L., Heuer, S. and Macgregor, D. 2024. The mechanisms behind the contrasting responses to waterlogging in black-grass (Alopecurus myosuroides) and wheat (Triticum aestivum). Functional Plant Biology. 51, p. FP23193. https://doi.org/10.1071/FP23193
Li, X., Storkey, J., Mead, A., Shield, I. F., Clark, I. M., Ostler, R., Roberts, B. and Dobermann, A. 2023. A new Rothamsted long-term field experiment for the twenty-first century - principles and practice. Agronomy for Sustainable Development - ASD. 43 (5), p. 60. https://doi.org/10.1007/s13593-023-00914-8
Elayadeth-Meethal, M., Rivero, M. J., Mead, A., Lee, M. R. F. and Misselbrook, T. H. 2023. Comparison of lipid profiles in the faeces of beef cattle fed three common temperate grass silage diets and their relevance to dietary composition. Journal Of Animal And Feed Sciences. 32 (4), pp. 427-437. https://doi.org/10.22358/jafs/166079/2023
Corcoran, E., Afshar, M., Curceac, S., Lashkari, A., Raza, M. M., Ahnert, S., Mead, A. and Morris, R. 2023. Current data and modeling bottlenecks for predicting crop yields in the United Kingdom. Frontiers in Sustainable Food Systems. 7, p. 1023169. https://doi.org/10.3389/fsufs.2023.1023169
Koutra, V., Gilmour, S. G., Parker, B. M. and Mead, A. 2023. Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects. Journal of Agricultural Biological and Environmental Statistics. 28 (3), p. 526–548. https://doi.org/10.1007/s13253-023-00544-3
Maclaren, C., Waswa, W., Aliyu, K. T., Claessens, L., Mead, A., Schob, C., Vanlauwe, B. and Storkey, J. 2023. Predicting intercrop competition, facilitation, and productivity from simple functional traits. Field Crops Research. 297 (1 June), p. 108926. https://doi.org/10.1016/j.fcr.2023.108926
Raffan, S., Oddy, J., Mead, A., Barker, G., Curtis, T. Y., Usher, S. L., Burt, C. and Halford, N. G. 2023. Field assessment of genome edited, low asparagine wheat: Europe's first CRISPR wheat field trial. Plant Biotechnology Journal. 21 (6), pp. 1097-1099. https://doi.org/10.1111/pbi.14026
Oddy, J., Addy, J., Mead, A., Hall, C., Mackay, C., Ashfield, T., Mcdiarmid, F., Curtis, T. Y., Raffan, S., Wilkinson, M. D., Elmore, J. S., Cryer, N., Moreira de Almeida, I. and Halford, N. G. 2023. Reducing dietary acrylamide exposure from wheat products through crop management and imaging. Journal of Agricultural and Food Chemistry - JAFC. 71 (7), pp. 3403-3413. https://doi.org/10.1021/acs.jafc.2c07208
Storkey, J., Maclaren, C. and Mead, A. 2023. Ecological Intensification and the sustainable use of fertilisers. Proceedings of the International Fertiliser Society. 886, pp. 1-20.
Bell, J. R., Clark, S. J., Stevens, M. and Mead, A. 2022. Quantifying inherent predictability and spatial synchrony in the aphid vector Myzus persicae - field-scale patterns of abundance and regional forecasting error in the UK. Pest Management Science. p. 7292. https://doi.org/10.1002/ps.7292
Addy, J. W. G., Ellis, R. H., MacLaren, C., Macdonald, A. J., Semenov, M. A. and Mead, A. 2022. A heteroskedastic model of park grass spring hay yields in response to weather suggests continuing yield decline with climate change in future decades. Journal of the Royal Society Interface. 19 (193), p. 20220361. https://doi.org/10.1098/rsif.2022.0361
Goodwin, C. E. D., Butikofer, L., Hatfield, J. H., Evans, P. M., Bullock, J. M., Storkey, J., Mead, A., Richter, G. M., Henrys, P. A., Pywell, R. F. and Redhead, J. W. 2022. Multi-tier archetypes to characterise British landscapes, farmland and farming practices. Environmental Research Letters. 17 (9), p. 095002. https://doi.org/10.1088/1748-9326/ac810e
MacLaren, C., Mead, A., Van Balen, D., Claessens, L., Etana, A., De Haan, J., Haagsma, W., Jack, O., Keller, T., Labuschagne, J., Myrbeck, A., Necpalova, M., Nziguheba, G., Six, J., Strauss, J., Swanepoel, P. A., Thierfelder, C., Topp, C., Tshuma, F., Verstegen, H., Walker, R., Watson, C., Wesselink, M. and Storkey, J. 2022. Long-term evidence for ecological intensification as a pathway to sustainable agriculture. Nature Sustainability. 5, pp. 770-779. https://doi.org/10.1038/s41893-022-00911-x
Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. 2022. Allocation of herbage allowance to grazed dairy cows in commercial herds using global positioning and long-range wide area network - Supplementary materials. Rothamsted Research. https://doi.org/10.23637/rothamsted.988xx
Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. 2022. GrazeMore - milk yield data. Rothamsted Research. https://doi.org/10.23637/rothamsted.988xw
Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. 2022. GrazeMore - grazing intake data. Rothamsted Research. https://doi.org/10.23637/rothamsted.988xv
Chamberlain, A. T., Mead, A., Rivero, M. J. and Wilkinson, J. M. 2022. GrazeMore - grazing activity data. Rothamsted Research. https://doi.org/10.23637/rothamsted.988xq
MacLaren, C., Aliyu, K. T., Waswa, W., Storkey, J., Claessens, L., Vanlauwe, B. and Mead, A. 2022. Can the right composition and diversity of farmed species improve food security among smallholder farmers? Frontiers in Sustainable Food Systems. 6, p. 744700. https://doi.org/10.3389/fsufs.2022.744700
Mead, A., MacLaren, C. and Storkey, J. 2022. Extending meta-analysis approaches to address routes to Ecological Intensification using agricultural Long-Term Experiments. 31st International Biometric Conference. Riga, Latvia 10 Jul 2022 International Biometric Society.
Addy, J., Mead, A., Macdonald, A. J., Semenov, M. A. and Ellis, R. H. 2022. Modelling Heteroskedasticity, Overdispersion and the Impacts of Climate Change for Long-Term Hay Yield Data. 31st International Biometric Conference. Riga, Latvia 10 Jul 2022
Carlesso, L., Beadle, A., Cook, S. M., Hartwell, G., Mead, A., Ritz, K., Sparkes, D., Wu, L. and Murray, P. J. 2022. Impacts of field margin orientation on populations of soil-dwelling invertebrates in relation to the direction and intensity of field traffic. Soil Use and Management. 38 (1), pp. 1015-1032. https://doi.org/10.1111/sum.12768
Addy, J., Ellis, R. H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2021. Changes in agricultural climate in South-Eastern England from 1892 to 2016 and differences in cereal and permanent grassland yield. Agricultural and Forest Meteorology. 308-309, p. 108560. https://doi.org/10.1016/j.agrformet.2021.108560
Oddy, J., Alarcon-Reverte, R., Wilkinson, M. D., Ravet, K., Raffan, S., Minter, A., Mead, A., Elmore, J. S., Moreira de Almeida, I., Cryer, N., Halford, N. G. and Pearce, S. 2021. Reduced free asparagine in wheat grain resulting from a natural deletion of TaASNB2: investigating and exploiting diversity in the asparagine synthetase gene family to improve wheat quality. BMC Plant Biology. 21 (1), p. 302. https://doi.org/10.1186/s12870-021-03058-7
Addy, J. W. G., Ellis, R.H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2021. The impact of weather and increased atmospheric CO2 from 1892 to 2016 on simulated yields of UK wheat. Journal of the Royal Society Interface. 18 (179), p. 20210250. https://doi.org/10.1098/rsif.2021.0250
Mezeli, M. M., Page, S., George, T. S., Neilson, R., Mead, A., Blackwell, M. S. A. and Haygarth, P. M. 2021. Corrigendum to “Using a meta-analysis approach to understand complexity in soil biodiversity and phosphorus acquisition in plants” [Soil Biol. Biochem. 142 (2020) 107695]. Soil Biology and Biochemistry. 157, p. 108145. https://doi.org/10.1016/j.soilbio.2021.108145
Jenkins, S., Taylor, A., Jackson, A. C., Armitage, A. D., Bates, H. J., Mead, A., Harrison, R. J. and Clarkson, J. P. 2021. Identification and Expression of Secreted In Xylem Pathogenicity Genes in Fusarium oxysporum f. sp. pisi. Frontiers in Microbiology. 12, p. 593140. https://doi.org/10.3389/fmicb.2021.593140
Storkey, J., Mead, A., Addy, J. and Macdonald, A. J. 2021. Agricultural intensification and climate change have increased the threat from weeds. Global Change Biology. 118 (2), p. e2002548117. https://doi.org/10.1111/gcb.15585
Raffan, S., Sparks, C. A., Huttly, A. K., Hyde, L., Martignago, D., Mead, A., Hanley, S. J., Wilkinson, P., Barker, G., Edwards, K. J., Curtis, T. Y., Usher, S. L., Kosik, O. and Halford, N. G. 2021. Wheat with greatly reduced accumulation of free asparagine in the grain, produced by CRISPR/Cas9 editing of asparagine synthetase gene TaASN2 . Plant Biotechnology Journal. 19 (8), pp. 1602-1613. https://doi.org/10.1111/pbi.13573
Bodmer, W., Bailey, R. A., Charlesworth, B., Eyre-Walker, A., Farewell, V., Mead, A. and Senn, S. 2021. The Outstanding Scientist, R.A. Fisher: His Views on Eugenics and Race. Heredity. https://doi.org/10.1038/s41437-020-00394-6
Pfahler, V., Macdonald, A. J., Mead, A., Smith, A. C., Tamburini, F., Blackwell, M. S. A. and Granger, S. J. 2020. Changes of oxygen isotope values of soil P pools associated with changes in soil pH. Scientific Reports. 10 (2065). https://doi.org/10.1038/s41598-020-59103-2
Addy, J., Ellis, R. H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2020. Investigating the effects of inter-annual weather variation (1968-2016) on the functional response of cereal grain yield to applied nitrogen, using data from the Rothamsted Long-Term Experiments. Agricultural and Forest Meteorology. 284, p. 107898. https://doi.org/10.1016/j.agrformet.2019.107898
Mezeli, M. M., Page, S., George, T. S., Neilson, R., Mead, A., Blackwell, M. S. A. and Haygarth, P. M. 2020. Using a meta-analysis approach to understand complexity in soil biodiversity and phosphorus acquisition in plants. Soil Biology and Biochemistry. 142, p. 107695. https://doi.org/10.1016/j.soilbio.2019.107695
Mezeli, M. M., Page, S., George, T. S., Neilson, R., Mead, A., Blackwell, M. S. A. and Haygarth, P. M. 2020. Using a meta-analysis approach to understand complexity in soil biodiversity and phosphorous acquisition in plants. Soil Biology and Biochemistry. 142, p. 107695. https://doi.org/10.1016/j/soilbio.2019.107695
Lee, M. R. F., Bailey, M., Mead, A., Morales-Aza, B., Reynolds, R., Vipond, B., Finn, A., Eisler, M.C. and Thomas, A.C. 2019. Insights into Pasteurellaceae carriage dynamics in the nasal passages of healthy beef calves. Scientific Reports. 9 (11943), p. 11943. https://doi.org/10.1038/s41598-019-48007-5
Mahdavi, A., Mahdavi, A., Darabighane, B., Mead, A. and Lee, M. R. F. 2019. Effects of soybean oil supplements to diets of lactating dairy cows, on productive performance, and milk fat acids profile: a meta-analysis. Italian Journal of Animal Science. https://doi.org/10.1080/1828051X.2019.1585211
Hassall, K. L. and Mead, A. 2018. Beyond the one-way ANOVA for 'omics data. BMC Bioinformatics. 19 (Suppl 7), p. 199. https://doi.org/10.1186/s12859-018-2173-7
Carmo-Silva, E., Andralojc, P. J., Scales, J. C., Driever, S. M., Mead, A., Lawson, T., Raines, C. A. and Parry, M. A. J. 2017. Phenotyping of field-grown wheat in the UK highlights contribution of light response of photosynthesis and flag leaf longevity to grain yield. Journal of Experimental Botany. 68 (13), pp. 3473-3486. https://doi.org/10.1093/jxb/erx169
Brown, N. A., Evans, J., Mead, A. and Hammond-Kosack, K. E. 2017. A spatial temporal analysis of the Fusarium graminearum transcriptome during symptomless and symptomatic wheat infection. Molecular Plant Pathology. 18 (9), pp. 1295-1312. https://doi.org/10.1111/mpp.12564
Walley, P. G., Hough, G., Moore, J. D., Carder, J., Elliott, Marian, Mead, A., Jones, J., Teakle, G., Barker, G. L. A., Buchanan-Wollaston, V., Hand, P., Pink, D. and Collier, R. 2017. Towards new sources of resistance to the currant-lettuce aphid (Nasonovia ribisnigri). Molecular Breeding. 37 (1), p. 4. https://doi.org/10.1007/s11032-016-0606-4
Bechtold, U., Penfold, C. A., Jenkins, D. J., Legaie, R., Moore, J. D., Lawson, T., Matthews, J. S. A., Vialet-Chabrand, S. R. M., Baxter, L., Subramaniam, S., Hickman, R., Florance, H., Sambles, C., Salmon, D. L., Feil, R., Bowden, L., Hill, C., Baker, N. R., Lunn, J. E., Finkenstadt, B., Mead, A., Buchanan-Wollaston, V., Beynon, J., Rand, D. A., Wild, D. L., Denby, K. J., Ott, S., Smirnoff, N. and Mullineaux, P. M. 2016. Time-Series Transcriptomics Reveals That AGAMOUS-LIKE22 Affects Primary Metabolism and Developmental Processes in Drought-Stressed Arabidopsis. The Plant Cell. 28 (2), pp. 345-366. https://doi.org/10.1105/tpc.15.00910
Lewis, L. A., Polanski, K., De Torres-Zabala, M., Jayaraman, S., Bowden, L., Moore, J., Penford, C. A., Jenkins, D. J., Hill, C., Baxter, L., Kulasekaran, S., Truman, W., Littlejohn, G., Prusinska, J., Mead, A., Steinbrenner, J., Hickman, R., Rand, D., Wild, D. L., Ott, S., Buchanan-Wollaston, V., Smirnoff, N., Beynon, J., Denby, K. and Grant, M. 2015. Transcriptional dynamics driving MAMP-triggered immunity and pathogen effector-mediated immunosuppression in Arabidopsis leaves following infection with Pseudomonas synringae pv tomato DC3000. The Plant Cell. 27, pp. 3038-3064. https://doi.org/10.1105/tpc.15.00471
Eyice, O., Namura, M., Chen, Y., Mead, A., Samavedam, S. and Schafer, H. 2015. SIP metagenomics identifies uncultivated Methylophilaceae as dimethylsulphide degrading bacteria in soil and lake sediment. The ISME Journal. 9, pp. 2336-2348. https://doi.org/10.1038/ismej.2015.37
Amos, G. C. A., Gozzard, E., Carter, C. E., Mead, A., Bowes, M. J., Hawkey, P. M., Zhang, L., Singer, A. C., Gaze, W. H. and Wellington, E. M. H. 2015. Validated predictive modelling of the environmental resistome. The ISME Journal. 9, pp. 1467-1476. https://doi.org/10.1038/ismej.2014.237
Welham, S. J., Gezan, S. A., Clark, S. J. and Mead, A. 2015. Statistical methods in biology: design and analysis of experiments and regression. CRC Press, Boca Raton, Florida.
Bull, J. C., Ryabov, E. V., Prince, G., Mead, A., Zhang, C., Baxter, L. A., Pell, J. K., Osborne, J. L. and Chandler, D. 2012. A strong immune response in young adult honeybees masks their increased susceptibility to infection compared to older bees. PLOS Pathogens. 8, p. e1003083. https://doi.org/10.1371/journal.ppat.1003083
Hammond, J. P., Broadley, M. R., White, P. J., King, G. J., Bowen, H. C., Hayden, R., Meacham, M. C., Mead, A., Overs, T., Spracklen, W. P. and Greenwood, D. J. 2009. Shoot yield drives phosphorus use efficiency in Brassica oleracea and correlates with root architecture traits. Journal of Experimental Botany. 60, pp. 1953-1968. https://doi.org/10.1093/jxb/erp083
Bell, J. R., Mead, A., Skirvin, D. J., Sunderland, K. D., Fenlon, J. S. and Symondson, W. O. C. 2008. Do functional traits improve prediction of predation rates for a disparate group of aphid predators? Bulletin of Entomological Research. 98, pp. 587-597. https://doi.org/10.1017/S0007485308005919
Bell, J. R., Traugott, M., Sunderland, K. D., Skirvin, D. J., Mead, A., Kravar-Garde, L., Reynolds, K., Fenlon, J. S. and Symondson, W. O. C. 2008. Beneficial links for the control of aphids: the effects of compost applications on predators and prey. Journal of Applied Ecology. 45 (4), pp. 1266-1273. https://doi.org/10.1111/j.1365-2664.2008.01479.x
Broadley, M. R., Hammond, J. P., King, G. J., Astley, D., Bowen, H. C., Meacham, M. C., Mead, A., Pink, D. A. C., Teakle, G. R., Hayden, R. M., Spracklen, W. P. and White, P. J. 2008. Shoot calcium and magnesium concentrations differ between subtaxa, are highly heritable, and associate with potentially pleiotropic loci in Brassica oleracea. Plant Physiology. 146, pp. 1707-1720. https://doi.org/10.1104/pp.107.114645
Grundy, A. C., Onyango, C. M., Phelps, K., Reader, R. J., Marchant, J. A., Benjamin, L. R. and Mead, A. 2005. Using a competition model to quantify the optimal trade-off between machine vision capability and weed removal effectiveness. Weed Research. 45 (5), pp. 388-405. https://doi.org/10.1111/j.1365-3180.2005.00471.x
Kift, N. B., Mead, A., Reynolds, K., Sime, S., Barber, M. D., Denholm, I. and Tatchell, G. M. 2004. The impact of insecticide resistance in the currant-lettuce aphid, Nasonovia ribisnigri , on pest management in lettuce. Agricultural and Forest Entomology. 6 (4), pp. 295-309. https://doi.org/10.1111/j.1461-9555.2004.00226.x
Grundy, A. C., Peters, N. C. B., Rasmussen, I. A., Hartmann, K. M., Sattin, M., Andersson, L., Mead, A., Murdoch, A. J. and Forcella, F. 2003. Emergence of Chenopodium album and Stellaria media of different origins under different climatic conditions. Weed Research. 43, pp. 163-176. https://doi.org/https://doi.org/10.1046/j.1365-3180.2003.00330.x
Noble, R., Hobbs, P. J., Mead, A. and Dobrovin-Pennington, A. 2002. Influence of straw types and nitrogen sources on mushroom composting emissions and compost productivity. Journal of Industrial Microbiology and Biotechnology. 29 (3), pp. 99-110. https://doi.org/10.1038/sj.jim.7000292
Noble, R., Hobbs, P. J., Dobrovin-Pennington, A., Misselbrook, T. H. and Mead, A. 2001. Olfactory response to mushroom composting emissions as a function of chemical concentration. Journal of Environmental Quality. 30 (3), pp. 760-767. https://doi.org/10.2134/jeq2001.303760x
Mead, A., Grundy, A., Collier, R. and Brain, P. 2000. Spatial analysis in horticulture - weed seeds and brassica pests. Proceedings 20th International Biometric Conference, Berkeley, 1-7 July 2000. Vol. 2: Invited Program . pp. 97-106
Mead, A., Collier, R. and Perry, J. N. 1999. Biometrical approaches in supervised pest control. Abstracts New Directions in Plant Biology. International Biometric Society British Region 190th Ordinary General Meeting & Summer Meeting, Wellesbourne, 23 June 1999 .