Dr Julian Taylor
Ext-Funded Research Fellow (C)
School of Agriculture, Food and Wine
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Julian Taylor is an Associate Professor in the Biometry Hub located at the Waite Agricultural Precinct of the University of Adelaide (UA). He is the Node Leader of the Analytics for the Australian Grains Industry in University of Adelaide (AAGI-UA), Grains Research and Development Corporation (GRDC) funded initiative to provide national analytics research support for the Australian grains industry.
Assoc. Prof. Taylor has a strong foundation of methdological and computational statistics knowledge that he brings into his broad analytics research portfolio. Much of his research is multi-disciplinary and highly collaborative with plant researchers in the university as well across other scientific communities involved in comparative plant breeding research. Through these collaborations he has published broadly in the applied statistics litertaure within a flavour of agricultural reserach. He is also the co-author and maintainer of statistical software packages R/wgaim and R/ASMap written in the open source R statistical computing environment. These packages have provided plant research staff internal and extrenal to the university with highly efficient tools for the genetic analysis of their experiments and continue to play an important role in providing research outcomes for their projects.
Recently, Assoc Prof. Taylor has become the UA node leader of AAGI, a $36M national GRDC inititiave where UA is one of three national strategic partners with Curtin (AAGI-CU) and University of Queensland (AAGI-UQ), that encompasses a strong analytics network to tackle big data agricultural challenges within the Australian grains industry. Within AAGI-AU he strategically manages a multidisciplinary analytics teams across four schools and fosters the development of collaborative high impact analytics research, support and training activities. AAGI-AU, and other partners on the network, have broadened the analytics toolbox within the Australian grains industry to include biometry, machine learning, artificial intelligence, data science, mathematics as well as computational infrastructure to support the breadth of these analytics activities.
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Appointments
Date Position Institution name 2016 - ongoing Senior Research Fellow University of Adelaide, Adelaide 2011 - 2016 Research Fellow University of Adelaide, Adelaide 2006 - 2011 Postdoctoral Fellow Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra -
Education
Date Institution name Country Title 1998 - 2005 University of Adelaide Australia PhD
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Journals
Year Citation 2025 Genc, Y., Baumann, U., Cheong, J., Taylor, J., Atieno, J., Walter, J., . . . Sutton, T. (2025). Loss of HKT1;5D via a spontaneous terminal deletion elevates leaf sodium in bread wheat, but is independent of yield or salinity tolerance.. J Exp Bot, 13 pages.
2024 Pham, A. T., Maurer, A., Pillen, K., Nguyen, T. D., Taylor, J., Coventry, S., . . . March, T. J. (2024). A wild barley nested association mapping population shows a wide variation for yield-associated traits to be used for breeding in Australian environment. Euphytica, 220(2), 16 pages.
Scopus12024 Manson, J., Denton, M., Lake, L., Brand, J., Taylor, J., & Sadras, V. (2024). Benchmarking the response of grain yield to plant population density across environments and management: A case study for faba bean. European Journal of Agronomy, 154, 127106-1-127106-10.
Scopus32024 Sissons, M., Pleming, D., Taylor, J. D., Emebiri, L., Eckermann, P., & Collins, N. C. (2024). Effects of heat exposure from late sowing on agronomic traits and the technological quality of hexaploid wheat. Journal of Cereal Science, 118, 103950-1-103950-14.
Scopus22024 Manson, J. B., Adhikari, K. N., Blake, S. N., Catt, S. C., Denton, M. D., Lake, L., . . . Sadras, V. O. (2024). Genetic gain in yield of Australian faba bean since 1980 and associated shifts in the phenotype: Growth, partitioning, phenology, and resistance to lodging and disease. Field Crops Research, 318, 17 pages.
Scopus12023 Munoz Santa, I., Nagel, S., & Taylor, J. D. (2023). Incorporating the pedigree information in multi-environment trial analyses for improving common vetch. Frontiers in Plant Science, 14, 12 pages.
2023 Yan, Q., Fruzangohar, M., Taylor, J., Gong, D., Walter, J., Norman, A., . . . Coram, T. (2023). Improved genomic prediction using machine learning with Variational Bayesian sparsity. Plant Methods, 19(1), 1-14.
Scopus3 Europe PMC12023 Fruzangohar, M., Moolhuijzen, P., Bakaj, N., & Taylor, J. (2023). CoreDetector: a flexible and efficient program for core-genome alignment of evolutionary diverse genomes. Bioinformatics, 39(11), 10 pages.
Scopus1 Europe PMC42023 Taylor, J., Jorgensen, D., Moffat, C. S., Chalmers, K. J., Fox, R., Hollaway, G. J., . . . Shankar, M. (2023). An international wheat diversity panel reveals novel sources of genetic resistance to tan spot in Australia. Theoretical and Applied Genetics, 136(3), 19 pages.
Scopus2 WoS1 Europe PMC12023 Cascant-Vilaplana, M. M., Viteritti, E., Sadras, V., Medina, S., Sánchez-Iglesias, M. P., Oger, C., . . . Gil-Izquierdo, A. (2023). Wheat Oxylipins in Response to Aphids, CO2 and Nitrogen Regimes.. Molecules, 28(10), 4133.
2022 Beasley, J. T., Bonneau, J. P., Moreno-Moyano, L. T., Callahan, D. L., Howell, K. S., Tako, E., . . . Johnson, A. A. T. (2022). Multi-year field evaluation of nicotianamine biofortified bread wheat. The Plant Journal, 109(5), 1168-1182.
Scopus10 WoS2 Europe PMC92022 Telfer, P., Edwards, J., Taylor, J., Able, J. A., & Kuchel, H. (2022). A multi-environment framework to evaluate the adaptation of wheat (Triticum aestivum) to heat stress. Theoretical and Applied Genetics, 135(4), 1191-1208.
Scopus3 WoS1 Europe PMC22022 Li, Y., Lake, L., Chauhan, Y. S., Taylor, J., & Sadras, V. O. (2022). Genetic basis and adaptive implications of temperature-dependent and temperature-independent effects of drought on chickpea reproductive phenology.. Journal of experimental botany, 73(14), 4981-4995.
Scopus6 WoS2 Europe PMC42022 Fruzangohar, M., Timmins, W. A., Kravchuk, O., & Taylor, J. (2022). HaploMaker: An improved algorithm for rapid haplotype assembly of genomic sequences. GigaScience, 11, 1-12.
Europe PMC12022 Fanning, J., Brand, J., Munoz Santa, I., McDonald, L., Taylor, J., & Hollaway, G. (2022). Management of chickpea Ascochyta blight using fungicides and cultivar resistance improves grain yield, quality, and grower profitability. Frontiers in Plant Science, 13, 14 pages.
Scopus12 WoS1 Europe PMC62021 Telfer, P., Edwards, J., Taylor, J., Able, J., & Kuchel, H. (2021). A Multi-environment Framework to Evaluate the Adaptation of Wheat (Triticum Aestivum) to Heat Stress.
2021 Sadras, V., Vázquez, C., Garzo, E., Moreno, A., Medina, S., Taylor, J., & Fereres, A. (2021). The role of plant labile carbohydrates and nitrogen on wheat-aphid relations. Scientific Reports, 11(1), 1-13.
Scopus11 WoS6 Europe PMC62021 Khoo, K. H. P., Sheedy, J. G., Taylor, J. D., Croser, J. S., Hayes, J. E., Sutton, T., . . . Mather, D. E. (2021). A QTL on the Ca7 chromosome of chickpea affects resistance to the root-lesion nematode Pratylenchus thornei. Molecular Breeding, 41(12), 13 pages.
Scopus7 WoS3 Europe PMC62021 Erena, M. F., Lohraseb, I., Munoz-Santa, I., Taylor, J. D., Emebiri, L. C., & Collins, N. C. (2021). The WtmsDW locus on wheat chromosome 2B controls major natural variation for floret Ssterility responses to heat sress at booting stage. Frontiers in Plant Science, 12, 1-14.
Scopus13 WoS7 Europe PMC62021 Atieno, J., Colmer, T. D., Taylor, J., Li, Y., Quealy, J., Kotula, L., . . . Sutton, T. (2021). Novel salinity tolerance loci in chickpea identified in glasshouse and field environments. Frontiers in Plant Science, 12, 1-19.
Scopus34 WoS17 Europe PMC222020 Pham, A. T., Maurer, A., Pillen, K., Taylor, J., Coventry, S., Eglinton, J. K., & March, T. J. (2020). Identification of wild barley derived alleles associated with plant development in an Australian environment. Euphytica, 216(9), 1-15.
Scopus9 WoS42020 Konate, M., Wilkinson, M. J., Taylor, J., Scott, E. S., Berger, B., & Rodriguez Lopez, C. M. (2020). Greenhouse spatial effects detected in the barley (Hordeum vulgare L.) Epigenome underlie stochasticity of DNA methylation. Frontiers in Plant Science, 11, 553907-1-553907-15.
Scopus5 WoS3 Europe PMC32020 Taylor, J. D., Sissons, M., & Kadkol, G. (2020). Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding. Crop Breeding, Genetics and Genomics, 2(4), 1-39.
2020 Konate, M., Wilkinson, M., Taylor, J., Scott, E., Berger, B., & Rodriguez Lopez, C. M. (2020). Greenhouse spatial effects detected in the barley (<i>Hordeum vulgare</i>L.) epigenome underlie stochasticity of DNA methylation.
2020 Rahman, M. S., Linsell, K. J., Taylor, J. D., Hayden, M. J., Collins, N. C., & Oldach, K. H. (2020). Fine mapping of root lesion nematode (Pratylenchus thornei) resistance loci on chromosomes 6D and 2B of wheat. Theoretical and Applied Genetics, 133(2), 635-652.
Scopus16 WoS10 Europe PMC122019 Amalraj, A., Taylor, J., Bithell, S., Li, Y., Moore, K., Hobson, K., & Sutton, T. (2019). Mapping resistance to Phytophthora root rot identifies independent loci from cultivated (Cicer arietinum L.) and wild (Cicer echinospermum P.H. Davis) chickpea. Theoretical and Applied Genetics, 132(4), 1017-1033.
Scopus28 WoS18 Europe PMC122019 Ward, B., Brien, C., Oakey, H., Pearson, A., Negrão, S., Schilling, R. K., . . . Van Den Hengel, A. (2019). High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal, 98(3), 555-570.
Scopus18 WoS11 Europe PMC112019 Anzooman, M., Christopher, J., Dang, Y., Taylor, J. D., Menzies, N., & Kopittke, P. (2019). Chemical and physical influence of sodic soils on the coleoptile length and root growth angle of wheat genotypes. Annals of Botany, 124(6), 1043-1052.
Scopus9 WoS5 Europe PMC52019 Amalraj, A., Taylor, J., & Sutton, T. (2019). A hydroponics based high throughput screening system for Phytophthora root rot resistance in chickpea (Cicer arietinum L.). Plant Methods, 15(1), 1-15.
Scopus13 WoS5 Europe PMC32019 Genc, Y., Taylor, J., Lyons, G., Li, Y., Cheong, J., Appelbee, M., . . . Sutton, T. (2019). Bread wheat with high salinity and sodicity tolerance. Frontiers in Plant Science, 10, 16 pages.
Scopus92 WoS60 Europe PMC392018 Hall, K., Fowler, A., Geddes, M., & Taylor, J. (2018). Predictable spatiotemporal dynamics of a dense cuttlefish spawning aggregation increases its vulnerability to exploitation. ICES Journal of Marine Science, 75(1), 221-234.
Scopus2 WoS12018 Sissons, M., Pleming, D., Taylor, J., Emebiri, L., & Collins, N. (2018). Effects of heat exposure from late sowing on the agronomic and technological quality of tetraploid wheat. Cereal Chemistry, 95(2), 274-287.
Scopus18 WoS102018 McDonald, G. K., Taylor, J. D., Gong, X., & Bovill, W. (2018). Responses to phosphorus among barley genotypes. Crop and Pasture Science, 69(6), 574-586.
Scopus8 WoS32018 Norman, A., Taylor, J., Edwards, J., & Kuchel, H. (2018). Optimising genomic selection in wheat: effect of marker density, population size and population structure on prediction accuracy. G3: Genes, Genomes, Genetics, 8(9), 2889-2899.
Scopus135 WoS95 Europe PMC892017 Taylor, J. D., Norman, A., Tanaka, E., Telfer, P., Edwards, J., Martinant, J. P., & Kuchel, H. (2017). Increased genomic prediction accuracy in wheat breeding using a large Australian panel. TAG Theoretical and Applied Genetics, 130(12), 2543-2555.
Scopus30 WoS19 Europe PMC232017 Shankar, M., Jorgensen, D., Taylor, J. D., Chalmers, K., Fox, R., Holloway, G., . . . Mather, D. (2017). Loci on chromosomes 1A and 2A affect resistance to tan (yellow) spot in wheat populations not segregating for tsn1. Theoretical and Applied Genetics, 130(12), 2637-2654.
Scopus15 WoS9 Europe PMC112017 Aldridge, M., Lee, S., Taylor, J., Popplewell, G., Job, F., & Pitchford, W. (2017). The use of walk over weigh to predict calving date in extensively managed beef herds. Animal Production Science, 57(3), 583-591.
Scopus16 WoS72017 Taylor, J., & Butler, D. (2017). R package ASMap: efficient genetic linkage map construction and diagnosis. Journal of Statistical Software, 29(6), 1-29.
Scopus195 WoS1472016 Stevens, R., Pech, J., Taylor, J., Clingeleffer, P., Walker, R., & Nicholas, P. (2016). Effects of irrigation and rootstock on Vitis vinifera (L.) cv. Shiraz berry composition and shrivel, and wine composition and wine score. Australian Journal of Grape and Wine Research, 22(1), 124-136.
Scopus20 WoS132016 Genc, Y., Oldach, K., Taylor, J., & Lyons, G. (2016). Uncoupling of sodium and chloride to assist breeding for salinity tolerance in crops. New Phytologist, 210(1), 145-156.
Scopus53 WoS45 Europe PMC232016 Schoppach, R., Taylor, J., Majerus, E., Claverie, E., Baumann, U., Suchecki, R., . . . Sadok, W. (2016). High resolution mapping of traits related to whole-plant transpiration under increasing evaporative demand in wheat. Journal of Experimental Botany, 67(9), 2847-2860.
Scopus49 WoS44 Europe PMC262016 Shirdelmoghanloo, H., Taylor, J., Lohraseb, I., Rabie, H., Brien, C., Timmins, A., . . . Collins, N. (2016). A QTL on the short arm of wheat (Triticum aestivum L.) chromosome 3B affects the stability of grain weight in plants exposed to a brief heat shock early in grain filling. BMC Plant Biology, 16(1), 100-1-100-15.
Scopus67 WoS47 Europe PMC342016 Mahjourimajd, S., Taylor, J., Rengel, Z., Khabaz-Saberi, H., Kuchel, H., Okamoto, M., & Langridge, P. (2016). The genetic control of grain protein content under variable nitrogen supply in an Australian wheat mapping population. PLoS ONE, 11(7), 13 pages.
Scopus24 WoS16 Europe PMC92016 Mahjourimajd, S., Taylor, J., Sznajder, B., Timmins, A., Shahinnia, F., Rengel, Z., . . . Langridge, P. (2016). Genetic basis for variation in wheat grain yield in response to varying nitrogen application. PLoS ONE, 11(7), 1-18.
Scopus26 WoS20 Europe PMC102015 Kitimu, S., Taylor, J., March, T., Tairo, F., Wilkinson, M., & Rodriguez Lopez, C. (2015). Meristem micropropagation of cassava (Manihot esculenta) evokes genome-wide changes in DNA methylation. Frontiers in Plant Science, 6(Aug), 590-1-590-12.
Scopus32 WoS27 Europe PMC232015 McDonald, G., Bovill, W., Taylor, J., & Wheeler, R. (2015). Responses to phosphorus among wheat genotypes. Crop and Pasture Science, 66(5), 430-444.
Scopus42 WoS382015 Hill, C., Taylor, J., Edwards, J., Mather, D., Langridge, P., Bacic, A., & Roessner, U. (2015). Detection of QTL for metabolic and agronomic traits in wheat with adjustments for variation at genetic loci that affect plant phenology. Plant Science, 233, 143-154.
Scopus77 WoS58 Europe PMC422014 Maphosa, L., Collins, N., Taylor, J., & Mather, D. (2014). Post-anthesis heat and a Gpc-B1 introgression have similar but non-additive effects in bread wheat. Functional Plant Biology, 41(9), 1002-1008.
Scopus15 WoS14 Europe PMC12014 Linsell, K., Rahman, M., Taylor, J., Davey, R., Gogel, B., Wallwork, H., . . . Oldach, K. (2014). QTL for resistance to root lesion nematode (Pratylenchus thornei) from a synthetic hexaploid wheat source. Theoretical and Applied Genetics, 127(6), 1409-1421.
Scopus16 WoS12 Europe PMC102014 Genc, Y., Taylor, J., Rongala, J., & Oldach, K. (2014). A major locus for chloride accumulation on chromosome 5A in bread wheat. PLoS One, 9(6), e98845-1-e98845-12.
Scopus30 WoS24 Europe PMC172013 Hill, C., Taylor, J., Edwards, J., Mather, D., Bacic, A., Langridge, P., & Roessner, U. (2013). Whole-genome mapping of agronomic and metabolic traits to identify novel quantitative trait loci in bread wheat grown in a water-limited environment. Plant Physiology, 162(3), 1266-1281.
Scopus108 WoS81 Europe PMC602013 Bonneau, J., Taylor, J., Parent, B., Bennett, D., Reynolds, M., Feuillet, C., . . . Mather, D. (2013). Multi-environment analysis and improved mapping of a yield-related QTL on chromosome 3B of wheat. Theoretical and Applied Genetics, 126(3), 747-761.
Scopus74 WoS68 Europe PMC522012 Verbyla, A., Taylor, J., & Verbyla, K. (2012). RWGAIM: An efficient high-dimensional random whole genome average (QTL) interval mapping approach. Genetics Research, 94(6), 291-306.
Scopus28 WoS28 Europe PMC242012 McDonald, G., Taylor, J., Verbyla, A., & Kuchel, H. (2012). Assessing the importance of subsoil constraints to yield of wheat and its implications for yield improvement. Crop and Pasture Science, 63(11), 1043-1065.
Scopus59 WoS502012 Taylor, J., Verbyla, A., Cavanagh, C., & Newberry, M. (2012). Variable selection in linear mixed models using an extended class of penalties. Australian and New Zealand Journal of Statistics, 54(4), 427-449.
Scopus9 WoS82011 Taylor, J., & Verbyla, A. (2011). R package wgaim: QTL analysis in bi-parental populations using linear mixed models. Journal of Statistical Software, 40(7), 1-18.
Scopus32 WoS272010 Cavanagh, C., Taylor, J., Larroque, O., Coombes, N., Verbyla, A., Nath, Z., . . . Newberry, M. (2010). Sponge and dough bread making: genetic and phenotypic relationships with wheat quality traits. Theoretical and Applied Genetics, online(5), 1-14.
Scopus35 WoS24 Europe PMC152008 Stevens, R., Pech, J., Gibberd, M., Walker, R., Jones, J., Taylor, J., & Nicholas, P. (2008). Effect of reduced irrigation on growth, yield, ripening rates and water relations of Chardonnay vines grafted to five rootstocks. Australian Journal of Grape and Wine Research, 14(3), 177-190.
Scopus40 WoS342006 Taylor, J., & Verbyla, A. (2006). Asymptotic likelihood approximations using a partial Laplace approximation. Australian & New Zealand Journal of Statistics, 48(4), 465-476.
Scopus1 WoS12004 Taylor, J., & Verbyla, A. (2004). Joint modelling of location and scale parameters of the t distribution. Statistical Modelling, 4(2), 91-112.
Scopus57 WoS472003 Stephens, C., Taylor, J., & Austin, A. (2003). Modification of insect-plant interactions: weed invasion and the pollination of an endangered orchid. Records of the South Australian Museum Monograph Series, 7, 193-201. - Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding (n.d.). Crop Breeding, Genetics and Genomics.
- Moldovan, M., & Taylor, J. (n.d.). Elastic Net (Model Selection). Unknown Journal, 1-5.
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Conference Items
Year Citation 2019 Rogers, S., & Taylor, J. (2019). A comparison of linear mixed model packages in R for analysis of plant breeding experiments. Poster session presented at the meeting of International Biometric Society Austalasian Region Conference. Adelaide, Australia.
DOI2017 Liu, H., Ismail, I., Abood, E., Sarpeleh, A., Taylor, J., Lott, G., . . . Able, A. (2017). Genetic basis of sensitivity of barley to toxins produced by the net blotch pathogen Pyrenophora teres f. teres. Poster session presented at the meeting of Australian Barley Technical Symposium. Hobart, Australia. -
Datasets
Year Citation - Taylor, J., Fruzangohar, M., & Walter, J. (n.d.). Roseworthy 2014 field trial phenotype data and matching 17K+ genotype data..
DOI- Taylor, J., Shankar, M., Jorgensen, D., Moffat, C. S., Chalmers, K., Fox, R., . . . See, P. T. (n.d.). AUS Tan Spot Phenotype/Genotype Data Sept 2022.
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Software
Year Citation 2019 Taylor, J. D., & Verbyla, A. (2019). wgaim: Whole Genome Average Interval Mapping for QTL Detection using Mixed Models (Version 2.0-1) [Computer Software]. http://cran.r-project.org/web/packages/wgaim/index.html: Comprehensive R Archive Network. 2018 Taylor, J. D., & Butler, D. (2018). ASMap: Linkage map construction using the MSTmap algorithm (Version 1.0-4) [Computer Software]. http://cran.r-project.org/web/packages/ASMap/index.html: Comprehensive R Archive Network.
| Project Title | Funding Body | Duration | Investment | Role | %Time |
|---|---|---|---|---|---|
| SAGI-STH: The southern node of the Statistics for the Australian Grains Industry |
GRDC | 2016-2020 | $4.5M | Principal Investigator | 100.0% |
| AAGI-UA: University of Adelaide node of Analytics for the Australian Grains Industry | GRDC | 2023-2027 | $12M | Chief Investigator | 100% |
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2025 Principal Supervisor Improving the breeding pipeline of canola blackleg disease resistance using automated plant counting and multi-environment bivariate genomic prediction Doctor of Philosophy Doctorate Full Time Mr Timothy Thavarajah 2024 Co-Supervisor Dissecting genotype by environment interactions in bread wheat: Using environmental covariates and genomic relatedness to dissect genotype by environment interactions for grain yield and grain yield components. Doctor of Philosophy Doctorate Full Time Mr Anton James Traeger -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2019 - 2021 Co-Supervisor Feasibility Study of Ranked Set Sampling for Typical Modern Agronomy Trials Under Different Sampling Designs: Benefits and Challenges of Ranked Set Sampling for the Grains Industry Master of Philosophy Master Full Time Mr Peter Josef Kasprzak 2014 - 2019 Co-Supervisor Application and Optimisation of Genomic Selection for Wheat Breeding Doctor of Philosophy Doctorate Part Time Mr Adam Luke Norman
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