A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials

Shin Fukui, Yasushi Ishigooka, Tsuneo Kuwagata, Toshihiro Hasegawa*

*この研究の対応する著者

研究成果: Article査読

17 被引用数 (Scopus)

抄録

Crop phenology models play a pivotal role in predicting yields under climate change. Cultivar-specific model parameters are essential for accurate prediction, but their estimation generally requires elaborate and laborious experiments, and such parameter sets have therefore been available only for a small number of cultivars. We propose methodology for estimating phenological parameters, combining a stochastic parameter estimation method (genetic algorithm) with the use of a database comprising 30 years of records from variety trials conducted at experimental stations across Japan. Optimal parameter sets were selected based on the results of cross-validation tests. This methodology allowed us to estimate phenological parameters objectively. We estimated phenological parameters for the 10 leading cultivars currently planted in Japan, and showed that these parameters reflect the cultivars’ sensitivity to temperature and/or photoperiod. The proposed methodology can be used to provide quantitative evaluations of the environmental responses of rice cultivars, without relying on elaborate and laborious experiments, and substantially improves the efficiency of phenological trait phenotyping.

本文言語English
ページ(範囲)77-89
ページ数13
ジャーナルJournal of Agricultural Meteorology
71
2
DOI
出版ステータスPublished - 2015 6月 10
外部発表はい

ASJC Scopus subject areas

  • 農業および作物学
  • 大気科学

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