Hammer, Graeme L.

An overview of APSIM, a model designed for farming systems simulation

Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D., Huth, N. I., Hargreaves, J. N. G., Meinke, H., Hochman, Z., et al. (2003) · European Journal of Agronomy

Pasture and Agricultural SystemsSustainable Agricultural Systems Analysis

Cited by 2,878

APSIM – evolution towards a new generation of agricultural systems simulation

Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., et al. (2014) · Environmental Modelling & Software

Climate change impacts on agricultureSustainable Agricultural Systems Analysis

Cited by 1,756

The critical role of extreme heat for maize production in the United States

Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J., & Schlenker, W. (2013) · Nature Climate Change

Climate change impacts on agriculturePlant Water Relations and Carbon Dynamics

Cited by 1,026

Can Changes in Canopy and/or Root System Architecture Explain Historical Maize Yield Trends in the U.S. Corn Belt?

Hammer, G. L., Dong, Z., McLean, G., Doherty, A., Messina, C., Schussler, J., Zinselmeier, C., Paszkiewicz, S., & Cooper, M. (2009) · Crop Science

Crop Yield and Soil FertilityAgricultural Productivity and Crop Improvement

Cited by 745

Models for navigating biological complexity in breeding improved crop plants

Hammer, G., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, F., Chapman, S., & Podlich, D. (2006) · Trends in Plant Science

Genetic Mapping and Diversity in Plants and AnimalsGenetics and Plant Breeding

Cited by 415

Water Use Efficiency as a Constraint and Target for Improving the Resilience and Productivity of C3 and C4 Crops

Leakey, A. D. B., Ferguson, J. N., Pignon, C. P., Wu, A., Jin, Z., Hammer, G. L., & Lobell, D. B. (2019) · Annual Review of Plant Biology

Plant Water Relations and Carbon DynamicsIrrigation Practices and Water Management

Cited by 372

Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops

Hammer, G. L., van Oosterom, E., McLean, G., Chapman, S. C., Broad, I., Harland, P., & Muchow, R. C. (2010) · Journal of Experimental Botany

Crop Yield and Soil FertilityGenetics and Plant Breeding

Cited by 367

Towards a multiscale crop modelling framework for climate change adaptation assessment

Peng, B., Guan, K., Tang, J., Ainsworth, E. A., Asseng, S., Bernacchi, C. J., Cooper, M., Delucia, E. H., Elliott, J. W., Ewert, F., et al. (2020) · Nature Plants

Climate change impacts on agricultureAgricultural Productivity and Crop Improvement

Cited by 322

The shifting influence of drought and heat stress for crops in northeast Australia

Lobell, D. B., Hammer, G. L., Chenu, K., Zheng, B., McLean, G., & Chapman, S. C. (2015) · Global Change Biology

Climate change impacts on agriculturePlant Water Relations and Carbon Dynamics

Cited by 310

Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modelling water-deficit patterns in North-Eastern Australia

Chenu, K., Cooper, M., Hammer, G. L., Mathews, K. L., Dreccer, M. F., & Chapman, S. C. (2011) · Journal of Experimental Botany

Genetics and Plant BreedingClimate change impacts on agriculture

Cited by 298

Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a “gene-to-phenotype” modeling approach

Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C., & Hammer, G. L. (2009) · Genetics

Genetics and Plant BreedingCrop Yield and Soil Fertility

Cited by 237

Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects

Chapman, S., Cooper, M., Podlich, D., & Hammer, G. (2003) · Agronomy Journal

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 224

Crop design for specific adaptation in variable dryland production environments

Hammer, G. L., McLean, G., Chapman, S., Zheng, B., Doherty, A., Harrison, M. T., van Oosterom, E., & Jordan, D. (2014) · Crop & Pasture Science

Genetics and Plant BreedingClimate change impacts on agriculture

Cited by 179

Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize

CHENU, K., CHAPMAN, S. C., HAMMER, G. L., MCLEAN, G., SALAH, H. B. H., & TARDIEU, F. (2008) · Plant, Cell & Environment

Crop Yield and Soil FertilityPlant Water Relations and Carbon Dynamics

Cited by 144

Integrating genetic gain and gap analysis to predict improvements in crop productivity

Cooper, M., Tang, T., Gho, C., Hart, T., Hammer, G., & Messina, C. (2020) · Crop Science

Crop Yield and Soil FertilityGenetics and Plant Breeding

Cited by 130

Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments

Chapman, S. C., Hammer, G. L., Butler, D. G., & Cooper, M. (2000) · Australian Journal of Agricultural Research

Genetics and Plant BreedingClimate change impacts on agriculture

Cited by 127

Modelling Crop Improvement in a G×E×M Framework via Gene–Trait–Phenotype Relationships

Messina, C., Hammer, G., Dong, Z., Podlich, D., & Cooper, M. (2009) · Crop Physiology

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 121

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

Cooper, M., Voss-Fels, K. P., Messina, C. D., Tang, T., & Hammer, G. L. (2021) · Theoretical and Applied Genetics

Genetics and Plant BreedingAgricultural Productivity and Crop Improvement

Cited by 119

Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates

Hammer, G. L., McLean, G., van Oosterom, E., Chapman, S., Zheng, B., Wu, A., Doherty, A., & Jordan, D. (2020) · Crop Science

Climate change impacts on agricultureGenetics and Plant Breeding

Cited by 115

Biological reality and parsimony in crop models—why we need both in crop improvement!

Hammer, G., Messina, C., Wu, A., & Cooper, M. (2019) · in silico Plants

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 108

Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments

Chapman, S. C., Cooper, M., & Hammer, G. L. (2002) · Australian Journal of Agricultural Research

Genetics and Plant BreedingAgricultural Productivity and Crop Improvement

Cited by 103

Predicting phenotypes from genetic, environment, management, and historical data using CNNs

Washburn, J. D., Cimen, E., Ramstein, G., Reeves, T., O’Briant, P., McLean, G., Cooper, M., Hammer, G., & Buckler, E. S. (2021) · Theoretical and Applied Genetics

Smart Agriculture and AIGenetic and phenotypic traits in livestock

Cited by 57

Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies: Integrating Breeder, Agronomist, and Farmer Perspectives

Cooper, M., Messina, C. D., Tang, T., Gho, C., Powell, O. M., Podlich, D. W., Technow, F., & Hammer, G. L. (2022) · Plant Breeding Reviews

Genetics and Plant BreedingCrop Yield and Soil Fertility

Cited by 56

Crop science: A foundation for advancing predictive agriculture

Messina, C. D., Cooper, M., Reynolds, M., & Hammer, G. L. (2020) · Crop Science

Smart Agriculture and AIClimate change impacts on agriculture

Cited by 35