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Mao X, Hu F, Griffiths BS, Li H.  2006.  Bacterial-feeding nematodes enhance root growth of tomato seedlings. Soil Biology & Biochemistry. 38:1615-1622. Abstract
Ravensdale M, Blom TJ, Gracia-Garza JA, Svircev AM, Smith RJ.  2007.  Bacteriophages and the control of Erwinia carotovora subsp. carotovora. Canadian Journal of Plant Pathology. 29:121-130.
Stutter MI, Graeber D, Evans CD, Wade AJ, Withers PJA.  2018.  Balancing macronutrient stoichiometry to alleviate eutrophication. Science of the Total Environment. 634:439-447.
Thomas CR, Gordon IJ, Wooldridge S, Marshall P.  2012.  Balancing the trade-offs between ecological and economic risks in the Great Barrier Reef: a pragmatic conceptual framework. Human and Ecological Risk Assessment.. 18:69-91.
Pswarayi A, van Eeuwijk FA, Ceccarelli S, Grando S, Comadran J, Russell JR, Francia E, Pecchioni N, Li Destri O, Akar T et al..  2008.  Barley adaptation and improvement in the Mediterranean basin. Plant Breeding. 127:554-560.
Schreiber M, Wright F, MacKenzie K, Hedley PE, Schwerdt JG, Little A, Burton RA, Fincher GB, Marshall D, Waugh R et al..  2014.  The barley genome sequence assembly reveals three additional members of the CsIF (1,3;1,4) - beta-glucan synthase gene family. PLoS ONE. 9:e90888.
Mwafulirwa L, Baggs EM, Russell J, George T, Morley N, Sim A, De la Fuente Canto C, Paterson E.  2016.  Barley genotype influences stabilization of rhizodeposition-derived C and soil organic matter mineralization. Soil Biology and Biochemistry. 95:60-69.
Garcia-Gimenez G, Russell J, Aubert MK, Fincher GB, Burton RA, Waugh R, Tucker MR, Houston K.  2019.  Barley grain (1,3;1,4)-beta-glucan content: effects of transcript and sequence variation in genes encoding the corresponding synthase and endohydrolase enzymes. Scientific Reports. 9:ArticleNo.17250.
Mendiondo GM, Medhurst A, van Roermund CW, Zhang XB, Devonshire J, Scholefield D, Fernandez J, Axcell B, Ramsay L, Waterham HR et al..  2014.  Barley has two peroxisomal ABC transporters with multiple functions in beta-oxidation. Journal of Experimental Botany. 65:4833-4847.
Rostoks N, Schmierer D, Mudie S, Drader T, Brueggeman R, Caldwell DG, Waugh R, Kleinhofs A.  2006.  Barley necrotic locus nec1 encodes the cyclic nucleotide-gated ion channel 4 homologous to the Arabidopsis HLM1. Molecular Genetics and Genomics. 275:159-168. Abstract
Forster BP, Franckowiak JD, Lundqvist U, Lyon J, Pitkethly I, Thomas WTB.  2007.  The barley phytomer. Annals of Botany. 100:725-733. Abstract
Bull H, Casao MC, Zwirek M, Flavell AJ, Thomas WTB, Guo WB, Zhang RX, Rapazote-Flores P, Kyriakidis S, Russell J et al..  2017.  Barley SIX-ROWED SPIKE3 encodes a putative Jumonji C-type H3K9me2/me3 demethylase that represses lateral spikelet fertility. Nature Communications. 8:ArticleNo.936.
Escudero-Martinez CM, Morris JA, Hedley PE, Bos JIB.  2017.  Barley transcriptome analyses upon interaction with different aphid species identify thionins contributing to resistance. Plant Cell and Environment. 40:2628-2643.
Mascher M, Richmond TA, Gerhardt DJ, Himmelbach A, Clissold L, Sampath D, Ayling S, Steuernagel B, Pfeifer M, D'Ascenzo M et al..  2013.  Barley whole exome capture: a tool for genomic research in the genus Hordeum and beyond. Plant Journal. 76:494-505.
Wiegmann M, Maurer A, Pham A, March TJ, Al-Abdallat A, Thomas WTB, Bull HJ, Shahid M, Eglinton J, Baum M et al..  2019.  Barley yield formation under abiotic stress depends on the interplay between flowering time genes and environmental cues. Scientific Reports. 9:ArticleNo.6397.
Dawson IK, Russell J, Powell W, Steffenson B, Thomas WTB, Waugh R.  2015.  Barley: a translational model for adaptation to climate change. New Phytologist. 206:913-931.
Swanston JS, Newton AC, Hoad SP, Spoor W.  2005.  Barleys grown as cultivar mixtures compared with blends made before and after malting, for effects on malting performance. Journal of the Institute of Brewing. 111:144-152. Abstract
Buttoud G, Kouplevatskaya-Buttoud I, Slee B, Weiss G.  2011.  Barriers to institutional learning and innovations in the forest sector in Europe: Markets, policies and stakeholders. Forest Policy and Economics. 13:124-131.
Rapazote-Flores P, Bayer M, Milne L, Mayer CD, Fuller J, Guo W, Hedley PE, Morris J, Halpin C, Kam J et al..  2019.  BaRTv1.0: a barley reference transcript dataset for quantitative measurement barley transcriptomes using RNA-seq. BMC Genomics. 20:ArticleNo.968.
Portas TJ, Evans MJ, Spratt D, Vaz PK, Devlin JM, Barbosa AD, Wilson BA, Rypalski A, Wimpenny C, Fletcher D et al..  2020.  Baseline health and disease assessment of founder eastern quolls (Dasyurus Viverrinus) during a conservation translocation to mainland Australia. Journal of Wildlife Diseases. 56:547-559.
Gbegbelegbe S, Cammarano D, Asseng S, Robertson R, Chung U, Adam M, Abdalla O, Payne T, Reynolds M, Sonder K et al..  2017.  Baseline simulation for global wheat production with CIMMYT mega-environment specific cultivars. Field Crops Research. 202:122-135.
Anderson IC, Bastias BA, Genney DR, Parkin PI, Cairney JWG.  2007.  Basidiomycete fungal communities in Australia sclerophyll forest soil are altered by repeated prescribed burning. Mycological Research. 111(4):482-486.
Mickleburgh S, Waylen K, Racey P.  2009.  Bats as bushmeat: a global review. Oryx. 43(2):217-234.
Cruz J, Sarmento P, Rydevik G, Rebelo H, White PCL.  2016.  Bats like vintage: managing exotic eucalypt plantations for bat conservation in a Mediterranean landscape. Animal Conservation. 19:53-64.
Eichmann R, Bischof M, Weis C, Shaw J, Lacomme C, Schweizer P, Duchkov D, Hensel G, Kumlehn J, H R.  2010.  BAX INHIBITOR-1 is required for full susceptibility of barley to powdery mildew. Molecular Plant-Microbe Interactions. 23:1217-1227.
Spezia L.  2010.  Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes. Journal of Time Series Analysis. 31:1-11.
Lawson DJ, Holtrop G, Flint H.  2011.  Bayesian analysis of non-linear differential equation models with application to a gut microbial ecosystem. Biometrical Journal. 53:543-556.
Thomsen NI, Binning PJ, McKnight US, Tuxen N, Bjerg PL, Troldborg M.  2016.  A Bayesian belief network approach for assessing uncertainty in conceptual site models at contaminated sites. Journal of Contaminant Hydrology. 188:12-28.
Smith WE, Newman KB, Mitchell L.  2020.  A Bayesian hierarchical model of postlarval delta smelt entrainment: integrating transport, length composition, and sampling efficiency in estimates of loss. Canadian Journal of Fisheries and Aquatic Sciences. 77:789-813.
Lewis FI, Gunn GJ, McKendrick IJ, Murray FM.  2009.  Bayesian inference for within-herd prevalence of Leptospira interrogans serovar Hardjo using bulk milk antibody testing. Biostatistics. 10:719-728.
Cornulier T, Robinson RA, Elston DA, Lambin X, Sutherland WJ, Benton T.  2011.  Bayesian reconstitution of environmental change from disparate historical records: hedgerow loss and farmland bird declines. Methods in Ecology and Evolution. 2:86-94.
Spezia L.  2020.  Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method. Computational Statistics and Data Analysis. 143:ArticleNo.UNSP106840.
Martin-Fernandez JA, Hron K, Templ M, Filzmoser P, Palarea-Albaladejo J.  2014.  Bayesian-multiplicative treatment of count zeros in compositional data sets. Central European Journal of Biology. 15:134-158.
Martin-Fernandez JA, Hron K, Templ M, Filzmoser P, Palarea-Albaladejo J.  2015.  Bayesian-multiplicative treatment of count zeros in compositional data sets. Central European Journal of Biology. 15:134-158.
Loe LE, Hansen BB, Stien A, Albon SD, Bischof R, Carlsson A, Irvine RJ, Meland M, Rivrud IM, Ropstad E et al..  2016.  Behavioral buffering of extreme weather events in a high- Arctic herbivore. Ecosphere. 7:1-13.
Loe LE, Hansen BB, Stien A, Albon SD, Bischof R, Carlsson A, Irvine RJ, Meland M, Rivrud IM, Ropstad E et al..  2016.  Behavioral buffering of extreme weather events in a high- Arctic herbivore. Ecosphere. 7:ArticleNo.e01374..
Iason GR, Villalba JJ.  2006.  Behavioral strategies of mammal herbivores against plant secondary metabolites: the avoidance-tolerance continuum. Journal of Chemical Ecology. 32(6):1115-1132.
Horgan GW.  2011.  The behaviour of a neutral model of weight regulated only by body mass. Journal of Theoretical Biology. 270:1-6.
Johnson SN, Hallett PD, Gillespie TL, Halpin C.  2010.  Below-ground herbivory and root toughness: a potential model system using lignin-modified tobacco. Physiological Entomology. 35:186-191. Abstract
Dunn SM, Dilks CF.  2006.  Benchmark models for diffuse pollution : the challenges. Archiv fur Hydrobiologie, Large Rivers Suppl.17. 161:49-73.
Lane RA, Coxon G, Freer JE, Wagener T, Johnes PJ, Bloomfield JP, Greene S, Macleod CJA, Reaney SM.  2019.  Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across a large sample of catchments in Britain. Hydrology and Earth System Sciences. 23:4011-4032.
Reis VM, Alves BJR, Hartmann A, James EK, Zilli JE.  2020.  Beneficial microorganisms in agriculture: the future of plant growth-promoting rhizobacteria. Plant and Soil. 451:1-3.
Martin-Ortega J, Brouwer R, Ojea E, Berbel J.  2012.  Benefit transfer and spatial heterogeneity of preferences for water quality improvements. Journal of Environmental Management. 106:22-29.
Sarkki S, Ficko AJ, Grunewald K, Nijnik M.  2015.  Benefits from and threats to European treeline ecosystem services: an exploratory study of stakeholders and governance. Regional Environmental Change. Published online.
Sarkki S, Ficko AJ, Grunewald K, Nijnik M.  2016.  Benefits from and threats to European treeline ecosystem services: an exploratory study of stakeholders and governance. Regional Environmental Change. 16:2019-2032.
Hérivaux C, Rey-Valette H, Rulleau B, Agenais AL, Grisel M, Kuhfuss L, Maton L, Vinchon C.  2018.  Benefits of adapting to sea level rise: the importance of ecosystem services in the French Mediterranean sandy coastline. Regional Environmental Change. 18:1815-1828.

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The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.