Founder

Dr. Abdulqader Jighly

Dr. Jighly is a visionary scientist holding a PhD in Computational Biology from La Trobe University, Australia, with over a decade of experience in revolutionising sustainable agriculture through pioneering statistical modelling and interdisciplinary collaboration. As the Founder of SuSTATability, he has led multidisciplinary research, redefining the sustainability paradigm through the strategic fusion of genomics, phenomics, multi-omics, AI, and digital agriculture, aiming to craft groundbreaking statistical solutions.

Formerly at Agriculture Victoria, Dr. Jighly led diverse teams, managing upwards of 30 members and steering projects that reshaped modern breeding programmes. His expertise lies in developing novel statistical models that integrate diverse data, fostering impactful collaborations worldwide.

Beyond academia, Dr. Jighly is an educator, mentoring a global cohort of postgraduate and undergraduate students. He is also an influential figure in academic publishing, serving as an Associate Editor for leading journals and conference committee member. His dedication to transforming agriculture and shaping the next generation of scientists fuels his commitment to sustainability-driven innovation.

Selected Publications:

1. Jighly A, et al. (2023). Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: A case study in wheat phenology. Journal of Experimental Botany erad162. 10.1093/jxb/erad162

2. Akparov A, … Jighly A (2023). Two major chromosome evolution events with unrivalled conserved gene content in pomegranate. Frontiers in Plant Science 10.3389/fpls.2023.1039211

3. Jighly A, et al. (2023) Using genomic prediction with crop growth models enables the prediction of unmeasured traits in wheat. Journal of Experimental Botany 10.1093/jxb/erac393

4. Jighly A, Benhajali H, Liu Z, Goddard ME. (2022) MetaGS: An accurate method to impute and combine SNP effects across populations using summary statistics. Genetics Selection, Evolution 54:37 10.1186/s12711-022-00725-7

5. Jighly A. (2022) When do autopolyploids need poly-sequencing data? Molecular Ecology 31:1021-1027 10.1111/MEC.16313

6. Singh S*, Jighly A*, et al. (2021). Direct introgression of untapped diversity into elite wheat lines. Nature Food 2:819–827 10.1038/s43016-021-00380-z. *Equal contribution

7. Jighly A, et al. (2021). Integrating genomic selection with a Genotype plus Genotype x Environment (GGE) model improves prediction accuracy and computational efficiency. Plant, Cell and Environment 44:3459-3470 10.1111/pce.14145

8. Jighly A, et al. (2019). Boosting Genetic Gain in Allogamous Crops via Speed Breeding and Genomic Selection. Frontiers in Plant Science 10:1364. 10.3389/fpls.2019.01364

9. Jighly A, et al. (2018) Insights into population genetics and evolution of polyploids and their ancestors. Molecular Ecology Resources 18(5):1157-1172. 10.1111/1755-0998.12896

10. Jighly A, et al. (2018) Decomposing additive genetic variance revealed novel insights into trait evolution in synthetic hexaploid wheat. Frontiers in Genetics 9:27. 10.3389/fgene.2018.00027

a.jighly@sustatability.com

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