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Liu H, Coulthurst SJ, Pritchard L, Hedley PE, Ravensdale M, Humphris SN, Burr T, Takle GW, Brurberg MB, Birch PRJ et al..  2008.  Quorum sensing coordinates brute force and stealth modes of infection in the plant pathogen Pectobacterium atrosepticum. PLoS Pathogens. 4:-e1000093. Abstract
Fischer A, McKee A.  2017.  A question of capacities? Community resilience and empowerment between assets, abilities and relationships Journal of Rural Studies. 54:187-197.
Abreu IN, Brennan RM, Kanichukattu EN, Stewart D, Hancock RD, McDougall GJ, Hackett CA.  2020.  Quantitative trait loci mapping of polyphenol metabolites in blackcurrant (Ribes nigrum). Metabolomics. 16:ArticleNo.25.
Mansour E, Casas AM, Gracia MP, Molina-Cano JL, Moralejo M, Cattivelli L, Thomas WTB, Igartua E.  2013.  Quantitative trait loci for agronomic traits in an elite barley population for Mediterranean conditions. Molecular Breeding. 33:249-265.
Foito A, Hackett CA, Stewart D, Velmurugan J, Milbourne D, Byrne SL, Barth S.  2017.  Quantitative trait loci associated with different polar metabolites in perennial ryegrass - providing scope for breeding towards increasing certain polar metabolites. BMC Genetics. 18:ArticleNo.84.
Ponce-Molina LJ, Casas AM, Gracia MP, Silvar C, Mansour E, Thomas WTB, Schweizer G, Herz M, Igartua E.  2012.  Quantitative trait loci and candidate loci for heading date in a large population of a wide barley cross. Crop Science. 52:2469-2480.
Foito A, Hackett CA, Byrne SL, Stewart D, Barth S.  2012.  Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass. Metabolomics. 11:412-424.
Foito A, Hackett CA, Byrne SL, Stewart D, Barth S.  2014.  Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass. Metabolomics. 11:412-424.
Barnett CM, Bengough AG, McKenzie BM.  2009.  Quantitative image analysis of earthworm-mediated soil displacement. Biology and Fertility of Soils. 45:821-828.
Phillips D, Wnetrzak J, Nibau C, Barakate A, Ramsay L, Wright F, Higgins JD, Perry RM, Jenkins G.  2013.  Quantitative high resolution mapping of HvMLH3 foci in barley pachytene nuclei reveals a strong distal bias and weak interference. Journal of Experimental Botany. 64:2139-2154.
Marshall B, Newton AC, Zhan J.  2009.  Quantitative evolution of aggressiveness of powdery mildew under two-cultivar barley mixtures. Plant Pathology. 58:378-388. Abstract
Vinuela-Fernandez I, Jones E, McKendrick IJ, Molony V.  2011.  Quantitative assessment of increased sensitivity of chronic laminitic horses to hoof tester evoked pain. Equine Veterinary Journal. 43:62-68.
Howden AJM, Stam R, Heredia VM, Motion GB, Ten Have S, Hodge K, Amaro TMMM, Huitema E.  2017.  Quantitative analysis of the tomato nuclear proteome during Phytophthora capsici infection unveils regulators of immunity. New Phytologist. 215:309-322.
Oborn I, Edwards AC, Hillier S.  2010.  Quantifying uptake rate of potassium from soil in a long-term gras rotation experiment. Plant and Soil. 335(1-2):3-19.
Harrison PJ, Yuan Y, Buckland ST, Oedekoven CS, Elston DA, Brewer MJ, Johnston A, Pearce-Higgins JW.  2015.  Quantifying turnover in biodiversity of British breeding birds. Journal of Applied Ecology. 53:469-478.
Harrison PJ, Yuan Y, Buckland ST, Oedekoven CS, Elston DA, Brewer MJ, Johnston A, Pearce-Higgins JW.  2016.  Quantifying turnover in biodiversity of British breeding birds. Journal of Applied Ecology. 53:469-478.
Denwood MJ, Love S, Innocent GT, Matthews L, McKendrick IJ, Hillary N, Smith A, Reid SWJ.  2012.  Quantifying the sources of variability in equine faecal egg counts: implications for improving the utility of the method. Veterinary Parasitology. 188:120-126.
Bourke PM, Hackett CA, Voorrips RE, Visser RGF, Maliepaard C.  2019.  Quantifying the power and precision of QTL analysis in autopolyploids under bivalent and multivalent genetic models. G3-Genes, Genomes, Genetics. 9:2107-2122.
Albon SD, Brewer MJ, O'Brien S, Nolan AJ, Cope D.  2007.  Quantifying the grazing impacts associated with different herbivores on rangelands. Journal of Applied Ecology. 44:1176-1187. Abstract
Albon SD, Brewer MJ, Nolan AJ, Cope D.  2007.  Quantifying the grazing impacts associated with different herbivores on rangelands. Journal of Applied Ecology. 44(6):1176-1187.
Millard P, Midwood AJ, Hunt JE, Barbour MM, Whitehead D.  2010.  Quantifying the contribution of soil organic matter turnover to forest soil respiration using natural abundance delta 13C. Soil Biology and Biochemistry. 42(6):935-943.
Frogbrook ZL, Bell J, Bradley RI, Evans C, Lark RM, Reynolds B, Smith P, Towers W.  2009.  Quantifying terrestrial carbon stocks: examining the spatial variation in two upland areas in the UK and a comparison to mapped estimates of soil carbon. Soil Use and Management. 25(3):320-332.
Roumet C, Cochard C, Dawson LA, Joffre R, Mayes RW, Brewer M, Blanchard M.  2006.  Quantifying species composition in root mixtures using two methods: near-infrared reflectance spectroscopy and plant wax markers. New Phytologist. 170(3):631-638.
Kouselou M, Hashemi S, Rahmati M, McKenzie BM, Karimi E, Rezaei A.  2018.  Quantifying soil displacement and tillage erosion rate by different tillage systems in dryland, northwestern Iran. Soil Use and Management. Published online..
Kouselou M, Hashemi S, Eskandari I, McKenzie BM, Karimi E, Rezaei A, Rahmati M.  2018.  Quantifying soil displacement and tillage erosion rate by different tillage systems in dryland, northwestern Iran. Soil Use and Management. 34:48-59.
Ryan CM, Hill T, Woollen E, Ghee C, Mitchard E, Cassells G, Grace J, Woodhouse IH, Williams M.  2012.  Quantifying small-scale deforestation and forest degradation in African woodlands using radar imagery. Global Change Biology. 18:243-257.
Vollsnes A, Futsaether CM, Bengough AG.  2010.  Quantifying rhizosphere particle movement around mutant maize roots using time-lapse imaging and particle image velocimetry. European Journal of Soil Science. 61:926-939.
Moran D, McVittie A, Allcroft DJ, Elston DA.  2007.  Quantifying public preferences for agri-environmental policy in Scotland: a comparison on methods. Ecological Economics. 63:42-53. Abstract
Dallimer M, Tinch D, Hanley N, Irvine KN, Rourquette JR, Warren PH, Maltby L, Gaston KJ, Armsworth PR.  2014.  Quantifying preferences for the natural world using monetary and non-monetary assessments of value. Conservation Biology. 28:404-413.
Brierley JL, Stewart JA, Lees AK.  2009.  Quantifying potato pathogen DNA in soil. Applied Soil Ecology. 41:234-238.
Kikvidze Z, Brooker RW.  2019.  Quantifying plant interactions: independent reference is critical for standardising the importance indices. Journal of Vegetation Science. 30:397-401.
Dunn SM, Vinogradoff SI, Thornton GJP, Bacon JR, Graham MC, Farmer JG.  2006.  Quantifying hydrological budgets and pathways in a small upland catchment using a combined modelling and tracer approach. Hydrological Processes. 20:349-368.
Ermgassen PSEZ, Grabowski JH, Gair JR, Powers SP.  2016.  Quantifying fish and mobile invertebrate production from a threatened nursery habitat. Journal of Applied Ecology. 53:596-606.
Pollock MD, O'Donnell G, Quinn P, Dutton M, Black A, Wilkinson ME, Colli M, Stagnaro M, Lanza LG, Lewis E et al..  2018.  Quantifying and mitigating wind-induced undercatch in rainfall measurements. Water Resources Research. 54:3863-3875.
MacMillan K, Blok VC, Young I, Crawford J, Wilson MJ.  2006.  Quantification of the slug parasitic nematode Phasamarhabditis hermaphrodita from soil samples using real time qPCR. International Journal for Parasitology. 36:1453-1461. Abstract
Hogberg MN, Briones MJI, Keel SG, Metcalfe DB, Campbell C, Midwood AJ, Thornton B, Hurry V, Linder S, Nasholm T et al..  2010.  Quantification of effects of season and nitrogen supply on tree belowground carbon transfer. New Phytologist. 187(2):485-493.
Wright K, Holden NJ.  2018.  Quantification and colonisation dynamics of Escherichia coli O157:H7 inoculation of microgreens species and plant growth substrates. International Journal of Food Microbiology. 273:1-10.
Bohanec M, Mess A, Scatasta S, Angevin F, Griffiths BS, Krogh PH, Znidars M, Dzeroski S.  2008.  A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops. Ecological Modelling. 215:247-261. Abstract
Bohanec M, Cortet J, Griffiths BS, Znidarsic M, Debeljak M, Caul S, Thompson J, Krogh PH.  2007.  A qualitative multi-attribute model for assessing the impact of cropping systems on soil quality. Pedobiologia. 51:239-250. Abstract
Tondelli A, Francia E, Visioni A, Comadran J, Mastrangelo AM, Akar T, Al-Yassin A, Ceccarelli S, Grando S, Benbelkacem A et al..  2014.  QTLs for barley yield adaptation to Mediterranean environments in the 'Nure' x 'Tremois' biparental population. Euphytica. 197:73-86.
Zhang Y, Thomas CL, Xiang JX, Long Y, Wang XH, Zou J, Luo ZL, Ding GD, Cai HM, Graham NS et al..  2016.  QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems. Scientific Reports. 6
Bradshaw JE, Hackett CA, Pande B, Waugh R, Bryan GJ.  2008.  QTL mapping of yield, agronomic and quality traits in tetraploid potato (Solanum tuberosum subsp. tuberosum). Theoretical and Applied Genetics. 116:193-211. Abstract
Park J, Hackett CA, Dandurand LM, Wang XH, De Jong WS.  2019.  QTL for resistance to Globodera rostochiensis pathotype Ro2 and G. pallida pathotype Pa2/3 in autotetraploid potato. American Journal of Potato Research. 96:552-553.
Bertholdsson NO, Holefors A, Macaulay M, Crespo-Herrera LA.  2015.  QTL for chlorophyll fluorescence of barley plants grown at low oxygen concentration in hydroponics to simulate waterlogging. Euphytica. 201:357-365.
Chen YY, Nishii K, Kidner C, Hackett CA, Moller M.  2020.  QTL dissection of floral traits in Streptocarpus(Gesneriaceae). Euphytica. 216:ArticleNo.110.
Molina-Cano J-L, Moralejo MA, Elia M, Mu P, Russell JR, P AM, Ciudad F, Swanston JS.  2007.  QTL analysis of a cross between European and North American malting barleys reveals a putative candidate gene for . Molecular Breeding. 19:275-284. Abstract
Raven JA.  2005.  Q&A - John Raven. Current Biology. 15:R905-R906. Abstract

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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.