A Genetic Neural Network Model of Flowering Time Control in Arabidopsis thaliana

@inproceedings{Welch2002AGN,
  title={A Genetic Neural Network Model of Flowering Time Control in Arabidopsis thaliana},
  author={Stephen M. Welch and Judith L. Roe and Zhanshan Dong},
  year={2002}
}
research on developing efficient methods for estimating these parameters (Irmak et al., 2000), including attempts Crop simulation models incorporate many physiological processes to relate them to specific plant genotypes (White and within sophisticated mathematical frameworks. However, the control Hoogenboom, 1996). A valuable result of these studies mechanisms for these processes tend to be ad hoc, empirical, and indirectly inferred from data and may lack realistic plasticity. Using has been a… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 36 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

The golden decade of molecular Koornneef

  • G. Theissen, H. Saedler
  • 1999
Highly Influential
9 Excerpts

Effective and efficient

  • Q. Duan, S. Sorooshian, V. Gopta
  • 1992
Highly Influential
5 Excerpts

Response of plant development Heiniger

  • P. H. Reeves, G. Coupland
  • Developing
  • 2000
Highly Influential
4 Excerpts

Crop modeling: Current status and opportunities

  • J. W. Reed, P. Nagpal, D. S. Poole, M. Furuya, J. Chory
  • 1993
Highly Influential
2 Excerpts

Evaluating methods for simulating soybean Segel, I.H

  • G. G. Wilkerson
  • Agron. J. 92:1140–1149
  • 2000

Control of circadian

  • H. J. Kim, S. A. Kay, H. G. Nam
  • 1999

GIGANTEA: A circadian

  • G. Coupland, J. Putterill
  • 1999

Molecular genetics of plant development

  • S. H. Howell
  • Cam-
  • 1998
2 Excerpts

Similar Papers

Loading similar papers…