Mark Cooper

Professor in Prediction Based Crop Improvement

University of Queensland

Australia

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Mark Cooper is a Professor in Prediction Based Crop Improvement at the University of Queensland, Australia. His research focuses on genetic gain in sorghum and maize, genomic prediction techniques, and improving crop resilience in drought-affected environments. Recent articles include explorations of trait genome-to-phenome dimensionality, AI-enhanced prediction frameworks in crop improvement, and genetic variation for physiological trait enhancement.

Articles (17)

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2025

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2022

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2022

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2021

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2021

Collaborators (7)

Ignacio A. Ciampitti

UNITED STATES

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Christine Diepenbrock

Assistant Professor

University of California, Davis

UNITED STATES

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Graeme L. Hammer

AUSTRALIA

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Reimund Rötter

Professor

University of Göttingen

GERMANY

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Frank Ewert

GERMANY

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Carlos Messina

UNITED STATES

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Martin van Ittersum

Wageningen University & Research

NETHERLANDS

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Mark Cooper

Research Interests

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Articles (17)

Understanding rates of genetic gain in sorghum [Sorghum bicolor (L.) Moench] in the United States

Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction

Toward a general framework for AI-enabled prediction in crop improvement

Improved genomic prediction performance with ensembles of diverse models

Transgene effects vary among maize populations with implications for improving quantitative traits

Contrasting leaf‐scale photosynthetic low‐light response and its temperature dependency are key to differences in crop‐scale radiation use efficiency

Methods for evaluating effects of transgenes for quantitative traits

Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity

Breeding crops for drought-affected environments and improved climate resilience

Global wheat production could benefit from closing the genetic yield gap

Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?

Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments

Radiation use efficiency increased over a century of maize (Zea mays L.) breeding in the US corn belt

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

Back to the future: implications of genetic complexity for the structure of hybrid breeding programs

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

Collaborators (7)

Ignacio A. Ciampitti

Christine Diepenbrock

Graeme L. Hammer

Reimund Rötter

Frank Ewert

Carlos Messina

Martin van Ittersum

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