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Publications

Featuring ACGG students and associated postocs from JLU, UQ, JKI and HGU

2026

  • Kravcov N, Büchele J, Neitzert L, Snowdon RJ and Windpassinger SM (2026). Comparing Cold Tolerance of sorghum (S. bicolor) A1 and A2 Cytoplasm-Based Hybrids. Plant Breed. 145, 789–807. https://doi.org/10.1111/pbr.70082

  • Scheer L, Wittkop B, Stahl A, Sass O, Welna G, Tietgen H and Snowdon RJ (2026). Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images. Plant Phenome J. 9, e70094. https://doi.org/10.1002/ppj2.70094

  • Augustine SM, Abdollahi Sisi N, Scheer L, Heid A, Knoblauch B, Vukasovic S, Tzigos S and Snowdon RJ (2026). SbHsp70 overexpression enhances drought and salinity tolerance in wheat through improved cellular stability and stress-associated structural adaptations. Front Plant Sci 17, 1868690. https://doi.org/10.3389/fpls.2026.1868690

  • Tomura S, Powell O, Wilkinson MJ and Cooper M (2026). Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation. G3 (Bethesda) 16, jkag090. https://doi.org/10.1093/g3journal/jkag090

  • Boyny Z, Lester N, Massel K, Powell O, Snowdon RJ and Weber SE (2026). Simulating the impact of recombination rate on genomic selection breeding outcomes. G3 (Bethesda) 16, jkag049. https://doi.org/10.1093/g3journal/jkag049

  • Okoye UJ, Frisch M and Herzog E (2026). Optimization of family sizes in sets of crosses with a greedy allocation strategy based on automatic differentiation. Front Plant Sci 17, 1727383. https://doi.org/10.3389/fpls.2026.1727383

  • Wang TC, Moritz A, Mabrouk M, Villar Alegria E, Arinalp B, Ganji E, Förter L, Wittkop B, Herzog E, Snowdon RJ, Stahl A and Chen T-W (2026). Plasticity of source-sink dynamics contributes to wheat yield stability. Nat Commun 17, 3781. https://doi.org/10.1038/s41467-026-72330-x

  • López-Gómez CF, Massel K and Godwin ID (2026). Working with the grain: uncovering sorghum quality regulatory networks. J Exp Bot 77, 2139–2141. https://doi.org/10.1093/jxb/erag108

  • Tomura S, Powell O, Wilkinson MJ, Lefevre J and Cooper M (2026). Optimization of weighted ensembles of genomic prediction models in maize. in silico Plants 8, diag010. https://doi.org/10.1093/insilicoplants/diag010

  • MacNish TR, Zanini SF, Kopalli V, Snowdon RJ, Golicz AG and Edwards D (2026). Accessing crop genetic diversity via pangenomics. Theor Appl Genet 139, 96. https://doi.org/10.1007/s00122-026-05201-0

  • Montero-Tena J, Zanini S, Yildiz G, Box T, Abbadi A, Snowdon R and Golicz A (2026). Machine learning and multi-omic analysis reveal contrasting recombination landscape of A and C subgenomes of winter oilseed rape. Plant Genome 19, e70209. https://doi.org/10.1002/tpg2.70209

  • Rashid MM, Paridhi P, Mandava SA, Grölz M, Knoblauch B, Tzigos S, Snowdon RJ and Augustine SM (2026). An optimised protocol for faba bean (Vicia faba L.) tissue culture and transformation. Legume Sci 8, e70074. https://doi.org/10.1002/leg3.70074

  • Häuser C, Mudke A, Arshad K, Alatrash H, Dudley C, Smith M and Schiessl S (2026). The dark side of stress response: Night temperature regimes drive distinct abiotic pathways in legumes. Plant Cell Environ 49, 925–939. https://doi.org/10.1111/pce.70276

  • Scheer L, Moritz A, Wittkop B, Stahl A, Sass O, Tietgen H, Welna G and Snowdon R (2026). Precise evaluation of transpiration patterns in relation to grain yield under drought stress in faba bean. Plant Direct 10, e70141. https://doi.org/10.1002/pld3.70141

  • Pandit M, Dracatos P, Periyannan S, Lam Y, Brunner SM, Honse T, Tong J, Dinglasan E, Ganesalingam D, Moody D, Baraibar S, Hickey L, Alahmad S and Robinson H (2026). Exploring standing genetic variation for barley leaf rust resistance in Australian breeding panel. Theor Appl Genet 139, 31. https://doi.org/10.1007/s00122-025-05122-4

  • Neitzert L, Kravcov N, Tandron Moya YA, Windpassinger S, von Wirén N, Snowdon R and Wittkop B (2026). Cold shock for cold tolerance: Phytohormone dynamics in sorghum provides insights. Plant Direct 10, e70133. https://doi.org/10.1002/pld3.70133

2025

  • Kopalli V, Arslan K, Morales-Díaz N, Zanini SF and Golicz AA (2025). Toward a standardized framework for pangenome graph evaluation: assessing crop plant pangenome variation graph construction from multiple assemblies. GigaScience 14, giaf121. https://doi.org/10.1093/gigascience/giaf121

  • Schlichtermann R, Häuser C, Weber SE, Scheer L, Tietgen H, Welna G, Schiessl SV, Wittkop B and Snowdon RJ (2025). Enhancing faba bean breeding efficiency through insect pollination and smart crossing schemes. Crop J. 13, 1816–1826. https://doi.org/10.1016/j.cj.2025.08.010

  • Tomura S, Wilkinson MJ, Powell O and Cooper M (2025). Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models. Plant Genome 18, e70138. https://doi.org/10.1002/tpg2.70138

  • Ugwuanyi S, Thomas GF, Tietgen H, Dreyer F, Abbadi A and Snowdon RJ (2025). Developmental stage-dependent gene expression modulates maternal control of seed vicine biosynthesis in faba bean. Legume Sci 7, e70057. https://doi.org/10.1002/leg3.70057

  • Taylor K, Dixon R, Taleski M, Hintzsche J, Aldiss Z, Massel K, Robinson H, Gagliardini V, Grossniklaus U, Godwin I, Hickey L and Djordjevic MA (2025). CEPR1 function across plant lineages: peptide hormone recognition by cereal crop orthologs and developmental roles in barley. J Exp Bot 76, 5861–5876. https://doi.org/10.1093/jxb/eraf316

  • Dudley C, Van Haeften S, Alahmad S, Dinglasan E, Hickey LT, Robinson H, Beveridge CA, Udvardi M, Noble T, Massel K, Dun EA and Smith MR (2025). Time to flowering and flowering duration in mungbean are unrelated physiological traits with independent genetic controls. J Exp Bot 76, 5528–5541. https://doi.org/10.1093/jxb/eraf222

  • Alahmad S, Smith D, Katsikis C, Aldiss Z, Brunner SM, Meer SV, Meijer L, Heidariask B, Chenu K, Chapman S, Potgieter AB, Wasson A, Baraibar S, Godoy J, Moody D, Robinson H and Hickey LT (2025). Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field. J Exp Bot 76, 5161–5178. https://doi.org/10.1093/jxb/eraf268

  • Tong J, Tarekegn ZT, Jambuthenne D, Robinson H, Pandit M, Villiers K, Periyannan S, Hickey L, Dinglasan E and Hayes BJ (2025). Haplotype stacking to improve stability of stripe rust resistance in wheat. Theor Appl Genet 138, 267. https://doi.org/10.1007/s00122-025-05045-0

  • Aldiss Z, Lam Y, Baraibar S, Van Der Meer S, Dinglasan E, Massel K, Crisp P, Godwin I, Borrell A, Moody D, Hickey L and Robinson H (2025). Haplotype-based insights into seminal root angle in barley. Plant Genome 18, e70088. https://doi.org/10.1002/tpg2.70088

  • Aldiss Z, Lam Y, Robinson H, Dixon R, Steinhardt L, Crisp PA, Godwin I, Borrell A, Hickey L and Massel K (2025). The PIN2 ortholog in barley modifies root gravitropism and architecture. Plant Genome 18, e70061. https://doi.org/10.1002/tpg2.70061

  • Weber S, Eckert A, Abbadi A, Ahlemeyer J, Shah S, Snowdon R and Stahl A (2025). Genetic dissection of plant architecture reveals haplotypes controlling sink-related traits in oilseed rape under limited nitrogen fertilization. BMC Plant Biol 25, 1138. https://doi.org/10.1186/s12870-025-07035-2

  • Ugwuanyi S, Tietgen H, Makhoul M, Obermeier C and Snowdon RJ (2025). Novel gene-copy-specific KASP Markers for efficient marker-assisted development of low vicine faba bean (Vicia faba L.). Plant Breed. 144, 573–579. https://doi.org/10.1111/pbr.13276

  • Cooper M, Tomura S, Wilkinson MJ, Powell O and Messina CD (2025). Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction. Theor Appl Genet 138, 172. https://doi.org/10.1007/s00122-025-04960-6

  • Kravcov N, Neitzert L, Snowdon R and Windpassinger S (2025). Genetic diversity and genome-wide associations for frost survival in sorghum. BMC Plant Biol 25, 966. https://doi.org/10.1186/s12870-025-07014-7

  • Ugwuanyi S, Makhoul M, Golicz AA, Obermeier C and Snowdon RJ (2025). Multiple copy number variants of VC1 gene reveal single-copy expression as a key determinant of vicine content. Front Plant Sci 16, 1565210. https://doi.org/10.3389/fpls.2025.1565210

  • Augustine S, Cherian A, Paridhi P, Ugwuanyi S, Rashid M, Knoblauch B, Tzigos S, Pullamsetti S and Snowdon RJ (2025). Electrical Current-Mediated Transformation for Efficient Plant Genome Editing: A Case Study in Faba Bean. Legume Sci 7, e70031. https://doi.org/10.1002/leg3.70031

  • Weber SE, Roscher-Ehrig L, Zanini S, Yildiz G, Abbadi A, Kox T, Golicz A and Snowdon RJ (2025). Single-cross prediction with imputed multi-omic data: A case study in rapeseed. Genome 68, 389. https://doi.org/10.1139/gen-2025-0010

  • Schmidt M, Strack T, Andrews H, Hickey LT, Crisp PA and Voss-Fels KP (2025). A new climate for genomic and epigenomic innovation in grapevine. Mol Hortic 5, 44. https://doi.org/10.1186/s43897-025-00171-1

  • Neitzert L, Kravcov N, Wittkop B, Snowdon RJ and Windpassinger S (2025). Reproductive Cold Stress in Contrasting Sorghum Genotypes: Is Pollen Fertility Really the Crucial Trait? Plant Direct 9, e70065. https://doi.org/10.1002/pld3.70065

  • Yildiz G, Zanini SF, Weber SE, Kopalli V, Kox T, Abbadi A, Snowdon RJ and Golicz AA (2025). Graphical pangenomics-enabled characterization of structural variant impact on gene expression in Brassica napus. Theor Appl Genet 138, 91. https://doi.org/10.1007/s00122-025-04867-2

  • Vo Van-Zivkovic N, Dinglasan E, Tong J, Watt C, Goody J, Mullan D, Hickey L and Robinson H (2025). A large-scale multi-environment study dissecting adult-plant resistance haplotypes for stripe rust resistance in Australian wheat breeding populations. Theor Appl Genet 138, 72. https://doi.org/10.1007/s00122-025-04859-2

  • Kang Y, Alahmad S, Van Haeften S, Akinlade O, Tong J, Dinglasan E, Voss-Fels KP, Potgieter AB, Borrell AK, Makhoul M, Obermeier C, Snowdon R, Mace E, Jordan DR and Hickey LT (2025). Mapping quantitative trait loci for seminal root angle in a selected durum wheat population. Plant Genome 18, e20490. https://doi.org/10.1002/tpg2.20490

  • Van Haeften S, Smith D, Robinson H, Dudley C, Kang Y, Douglas CA, Hickey LT, Potgieter A, Chapman S and Smith MR (2025). Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean. Plant Phenome J. 8, e70016. https://doi.org/10.1002/ppj2.70016

  • Finnegan EJ, Crisp PA, Zhang P, Eglitis-Sexton J, Greenwood J, Hintzsche J, Li J, Taylor J, Wallace X and Swain S (2025). Testing the potential of zebularine to induce heritable changes in crop growth and development. Theor Appl Genet 138, 26. https://doi.org/10.1007/s00122-024-04799-3

2024

  • Hayes BJ, Mahony TJ, Villiers K, Warburton C, Kemper KE, Dinglasan E, Robinson H, Powell O, Voss-Fels K, Godwin ID and Hickey LT (2024). Potential approaches to create ultimate genotypes in crops and livestock. Nat Genet 56, 2310–2317. https://doi.org/10.1038/s41588-024-01942-0

  • Moritz A, Eckert A, Vukasovic S, Snowdon R and Stahl A (2024). Physiological phenotyping of transpiration response to vapour pressure deficit in wheat. BMC Plant Biol 24, 1032. https://doi.org/10.1186/s12870-024-05692-3

  • Mikwa E, Wittkop B, Windpassinger SM, Weber SE, Ehrhardt D and Snowdon RJ (2024). Early exposure to phosphorus starvation induces genetically determined responses in Sorghum bicolor roots. Theor Appl Genet 137, 220. https://doi.org/10.1007/s00122-024-04728-4

  • Töpfer V, Melzer M, Snowdon RJ, Stahl A, Matros A and Wehner G (2024). PEG treatment is unsuitable to study root related traits as it alters root anatomy in barley (Hordeum vulgare L.). BMC Plant Biol 24, 856. https://doi.org/10.1186/s12870-024-05529-z

  • Roscher-Ehrig L, Weber SE, Abbadi A, Malenica M, Abel S, Hemker R, Snowdon RJ, Wittkop B and Stahl A (2024). Phenomic selection for hybrid rapeseed breeding. Plant Phenomics 6, 0215. https://doi.org/10.34133/plantphenomics.0215

  • Weber S, Roscher-Ehrig L, Kox T, Abbadi A, Werner CR, Stahl A and Snowdon RJ (2024). Genomic prediction in Brassica napus: Evaluating the benefit of imputed whole-genome sequencing data. Genome 67, 0126. https://doi.org/10.1139/gen-2023-0126

  • Montero-Tena JA, Abdollahi Sisi N, Kox T, Abbadi A, Snowdon RJ and Golicz AA (2024). haploMAGIC: accurate phasing and detection of recombination in multiparental populations despite genotyping errors. G3 (Bethesda) 14, jkae109. https://doi.org/10.1093/g3journal/jkae109

  • Makhoul M, Schlichtermann R, Ugwuanyi S, Weber SE, Voss-Fels KP, Stahl A, Zetzsche H, Wittkop B, Snowdon RJ and Obermeier C (2024). Novel PHOTOPERIOD-1 gene variants associate with yield-related and root-angle traits in European bread wheat. Theor Appl Genet 137, 125. https://doi.org/10.1007/s00122-024-04634-9

  • Eglitis-Sexton J, Mangila L, Andrews H, Hickey LT and Crisp PA (2024). Utilisation of Methylome Data to Identify Stably Unmethylated Regions in Plant Genomes. Bio Protoc 14, e4944. https://doi.org/10.21769/BioProtoc.4944

  • Vukasovic S, Eckert AH, Moritz AL, Borsch C, Rudloff S, Snowdon RJ and Stahl A (2024). Effect of a QTL on wheat chromosome 5B associated with enhanced root dry mass on transpiration and nitrogen uptake under contrasting drought scenarios in wheat. BMC Plant Biol 24, 83. https://doi.org/10.1186/s12870-024-04756-8

2023

  • Weber SE, Chawla HS, Ehrig L, Hickey LT, Frisch M and Snowdon RJ (2023). Accurate prediction of quantitative traits with failed SNP calls in canola and maize. Front Plant Sci 14, 1221750. https://doi.org/10.3389/fpls.2023.1221750

  • Weber SE, Frisch M, Snowdon RJ and Voss-Fels KP (2023). Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets. Front Plant Sci 14, 1217589. https://doi.org/10.3389/fpls.2023.1217589

  • Yildiz G, Zanini S, Afsharyan N, Obermeier C, Snowdon R and Golicz A (2023). Benchmarking Oxford Nanopore read alignment-based insertion and deletion detection in crop plant genomes. Plant Genome 16, e20314. https://doi.org/10.1002/tpg2.20314

  • Difabachew YF, Frisch M, Langstroff AL, Stahl A, Wittkop B, Snowdon RJ, Koch M, Kirchhoff M, Cselényi L, Wolf M, Förster J, Weber S, Okoye UJ and Zenke-Philippi C (2023). Genomic prediction with haplotype blocks in wheat. Front Plant Sci 14, 1168547. https://doi.org/10.3389/fpls.2023.1168547

  • Tovignan TK, Basha Y, Windpassinger S, Augustine SM, Snowdon R and Vukasovic S (2023). Precision Phenotyping of Agro-Physiological Responses and Water Use of Sorghum under Different Drought Scenarios. Agronomy (Basel) 13, 722. https://doi.org/10.3390/agronomy13030722

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