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Volume 2

Special
Dagstuhl
Issue

Abstract

Full article

last update:
March 30, 2003

The GP problem: Quantifying gene-to-phenotype relationships

Mark Cooper^1,2,*, Scott C. Chapman³, Dean W. Podlich^1,2 and Graeme L. Hammer^1,4

¹ School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
² Current Address: Pioneer Hi-Bred International Inc., 7300 N.W. 62^nd Avenue, P.O. Box 1004, Johnston, Iowa 50131, USA
³ CSIRO Plant Industry, 120 Meiers Road, Indooroopilly, Queensland 4068, Australia
⁴ Agricultural and Production Systems Research Unit (APSRU), Queensland Department of Primary Industries, Tor Street, Toowoomba, Queensland, Australia

*Corresponding author
E-mail: mark.cooper@pioneer.com


published January 24, 2002

Completed references

The following publications were cited in this article as being "in press" or "submitted" and have been published since then:

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• Chapman, S. C., Cooper, M. and Hammer, G. L. (2002a). Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments. Aust. J. Agric. Sci., in press.
  published as:
  Chapman, S. C., Cooper, M. and Hammer, G. L. (2002a). Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments. Aust. J. Agric. Res. 53, 379-389.

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• Chapman, S. C., Cooper, M., Podlich, D. W. and Hammer, G. L. (2002b). Evaluating plant breeding strategies by simulating gene action and environmental effects to predict phenotypes for dryland adaptation. Agron. J., submitted.
  published as:
  Chapman, S. C., Cooper, M., Podlich, D. W. and Hammer, G. L. (2003). Evaluating plant breeding strategies by simulating gene action and dryland environment effects. Agron. J. 95, 99-113.

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