Optimization of Soybean Phenological Models Using Historical Data of Breeding and Comparison of Optimization Methods
Author:
Affiliation:
1. Dept. of Plant Life Sci., Fac. of Agr., Ryukoku Univ.
Publisher
Crop Science Society of Japan
Subject
Genetics,Agronomy and Crop Science,Food Science
Link
https://www.jstage.jst.go.jp/article/jcs/92/1/92_28/_pdf
Reference30 articles.
1. Acharya, S., Correll, M., Jones, J.W., Boote, K.J., Alderman, P.D., Hu, Z. and Vallejos, C.E. 2017. Reliability of genotype-specific parameter estimation for crop models: Insights from a markov chain monte-carlo estimation approach. Trans. ASABE 60: 1699-1712.
2. Bannayan, M., Kobayashi, K., Marashi, H. and Hoogenboom, G. 2007. Gene-based modelling for rice: an opportunity to enhance the simulation of rice growth and development? J. Theor. Biol. 249: 593-605.
3. Beven, K. and Binley, A. 1992. The future of distributed models: model calibration and uncertainty prediction. Hydrol. Process. 6: 279-298.
4. Fehr, W.R. and Caviness, C.E. 1977. Stages of soybean development. Special Report 87: 1-12. Ames, Iowa: Iowa State University, Agricultural and Home Economics Experiment Station.
5. 芳賀敏郎・橋本茂司 1980. 統計解析プログラム講座 （2） 回帰分析と主成分分析. 日科技連，東京，204-217.
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