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.

My Research
Career
Publications
Grants and Funding
Supervision
Contact

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.

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

Date	Institution name	Country	Title
1998 - 2005	University of Adelaide	Australia	PhD

Journals

Year	Citation
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. DOI Scopus1
2024	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. DOI Scopus2
2024	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. DOI
2024	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. DOI
2023	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. DOI
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. DOI Scopus1
2023	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. DOI Scopus1 Europe PMC1
2023	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. DOI Scopus2 WoS1 Europe PMC1
2023	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, CO<inf>2</inf> and Nitrogen Regimes. Molecules, 28(10), 14 pages. DOI
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. DOI Scopus5 WoS2 Europe PMC4
2022	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. DOI Scopus3 WoS1 Europe PMC2
2022	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. DOI Scopus3 WoS2 Europe PMC1
2022	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. DOI Europe PMC1
2022	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. DOI Scopus4 WoS1 Europe PMC3
2021	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. DOI
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. DOI Scopus8 WoS6 Europe PMC6
2021	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. DOI Scopus7 WoS3 Europe PMC3
2021	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. DOI Scopus12 WoS7 Europe PMC5
2021	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. DOI Scopus26 WoS17 Europe PMC17
2020	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. DOI Scopus8 WoS4
2020	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. DOI Scopus4 WoS3 Europe PMC2
2020	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. DOI
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. DOI
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. DOI Scopus16 WoS10 Europe PMC10
2019	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. DOI Scopus26 WoS18 Europe PMC11
2019	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. DOI Scopus18 WoS11 Europe PMC9
2019	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. DOI Scopus8 WoS5 Europe PMC3
2019	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. DOI Scopus12 WoS5 Europe PMC1
2019	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. DOI Scopus84 WoS60 Europe PMC32
2018	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. DOI Scopus2 WoS1
2018	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. DOI Scopus17 WoS10
2018	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. DOI Scopus6 WoS3
2018	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. DOI Scopus116 WoS95 Europe PMC65
2017	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. DOI Scopus28 WoS19 Europe PMC18
2017	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. DOI Scopus15 WoS9 Europe PMC11
2017	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. DOI Scopus13 WoS7
2017	Taylor, J., & Butler, D. (2017). R package ASMap: efficient genetic linkage map construction and diagnosis. Journal of Statistical Software, 29(6), 1-29. DOI Scopus175 WoS147
2016	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. DOI Scopus17 WoS13
2016	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. DOI Scopus48 WoS45 Europe PMC19
2016	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. DOI Scopus49 WoS44 Europe PMC22
2016	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. DOI Scopus62 WoS47 Europe PMC29
2016	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. DOI Scopus23 WoS16 Europe PMC6
2016	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. DOI Scopus25 WoS20 Europe PMC10
2015	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. DOI Scopus30 WoS27 Europe PMC18
2015	McDonald, G., Bovill, W., Taylor, J., & Wheeler, R. (2015). Responses to phosphorus among wheat genotypes. Crop and Pasture Science, 66(5), 430-444. DOI Scopus41 WoS38
2015	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. DOI Scopus72 WoS58 Europe PMC33
2014	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. DOI Scopus14 WoS14 Europe PMC1
2014	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. DOI Scopus15 WoS12 Europe PMC9
2014	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. DOI Scopus28 WoS24 Europe PMC15
2013	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. DOI Scopus101 WoS81 Europe PMC53
2013	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. DOI Scopus71 WoS68 Europe PMC42
2012	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. DOI Scopus28 WoS28 Europe PMC20
2012	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. DOI Scopus58 WoS50
2012	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. DOI Scopus9 WoS8
2011	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. DOI Scopus31 WoS27
2010	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. DOI Scopus34 WoS24 Europe PMC13
2008	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. DOI Scopus39 WoS34
2006	Taylor, J., & Verbyla, A. (2006). Asymptotic likelihood approximations using a partial Laplace approximation. Australian & New Zealand Journal of Statistics, 48(4), 465-476. DOI Scopus1 WoS1
2004	Taylor, J., & Verbyla, A. (2004). Joint modelling of location and scale parameters of the t distribution. Statistical Modelling, 4(2), 91-112. DOI Scopus54 WoS47
2003	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. DOI
-	Moldovan, M., & Taylor, J. (n.d.). Elastic Net (Model Selection). Unknown Journal, 1-5. DOI

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. DOI
2017	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. DOI

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%

Current Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
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
2023	Principal Supervisor	Improving assessment of canola blackleg disease through automated plant detection and improved genomic prediction approaches	Master of Philosophy	Master	Full Time	Mr Timothy Jea Shing Thavarajah

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

Position: Ext-Funded Research Fellow (C)
Phone: 83132077
Email: julian.taylor@adelaide.edu.au
Campus: Waite
Building: Waite, floor 2
Org Unit: Agricultural Science