Mark Cooper

Australian Research Council — Australia

Agricultural and Biological Sciences · Life Sciences

73h-index18.4kcitations366works3.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Genetics and Plant Breeding(153), Genetic Mapping and Diversity in Plants and Animals(107), Crop Yield and Soil Fertility(62), Geochemistry and Geologic Mapping(57), Genetic and phenotypic traits in livestock(55)

Publications365 total

Future-Ready Crops: Biology-Driven Pangenetics Meet AI-Powered Predictions
Preprints.org·2025Open Access
The Big BIT maize experiment: A large multi‐location, multi‐year, multi‐tester, multi‐population predictive breeding validation study
The Plant Genome·2025· 1 citedOpen Access
Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models
The Plant Genome·2025· 2 citedOpen Access
Back to the future 2: the implications of germplasm structure on the balance between short and long-term genetic gain in a changing target population of environments
2025Open Access
Understanding rates of genetic gain in sorghum [ <i>Sorghum bicolor</i>  (L.) Moench] in the United States
The Plant Genome·2025· 3 citedOpen Access
Ensemble-based genomic prediction for maize flowering time reveals novel insights into trait genetic architecture and improves prediction for breeding applications
2025Open Access
Ensemble-based genomic prediction for maize flowering time reveals novel insights into trait genetic architecture and improves prediction for breeding applications
2025Open Access
Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction
Theoretical and Applied Genetics·2025· 5 citedOpen Access
Toward a general framework for AI-enabled prediction in crop improvement
Theoretical and Applied Genetics·2025· 14 citedOpen Access
Envirotyping facilitates understanding of genotype × environment interactions and highlights the potential of stay-green traits in wheat
Field Crops Research·2025· 4 cited
Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational Tool for Interpreting Ensembles of Genomic Prediction Models
2025· 2 citedOpen Access
Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems
Field Crops Research·2025· 2 citedOpen Access
Envirotyping Facilitates Understanding of Genotype × Environment Interactions and Highlights the Potential of Stay-green Traits in Wheat
2025· 1 citedOpen Access
Improved genomic prediction performance with ensembles of diverse models
G3 Genes Genomes Genetics·2025· 12 citedOpen Access
Pangenomes empower the investigation of biological adaptations
Elsevier eBooks·2025
Onshore Provenance of Clasts from Offshore Glacial Deposits, Nw Irish Continental Shelf
Irish Journal of Earth Sciences·2025
Transgene effects vary among maize populations with implications for improving quantitative traits
Crop Science·2024· 1 citedOpen Access
A rational approach for the targeted discovery and characterisation of microbiome-derived therapeutics
2024· 2 cited
Improved Genomic Prediction Performance with Ensembles of Diverse Models
2024· 1 citedOpen Access
Provenance of the Trainor's Rocks microconglomerate, Northern Ireland: a mid-Silurian (Hawick Group) submarine channel fan deposit in the closing Iapetus Ocean
Journal of the Geological Society·2024· 1 citedOpen Access
page 1 of 19Next →

Frequent Co-authors

Carlos D. Messina(18), Graeme Hammer(16), Dean Podlich(9), S. Fukai(8), Scott Chapman(6), Carla Gho(5), Zhanshan Dong(4), Jeffrey R. Schussler(4), G. Pantuwan(4), S. Rajatasereekul(4), Steve Paszkiewicz(3), Hugo Campos(3), Jeffrey E. Habben(3), G.O. Edmeades(3), Tom Tang(3), Fred A. van Eeuwijk(3), Liviu R. Totir(3), Deanne Wright(3), Frank Technow(3), J. C. O’Toole(3)