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

Shin Fukui, Yasushi Ishigooka, Tsuneo Kuwagata, Toshihiro Hasegawa

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)77-89
Number of pages13
JournalJournal of Agricultural Meteorology
Volume71
Issue number2
DOIs
Publication statusPublished - 2015 Jun 10
Externally publishedYes

Fingerprint

variety trials
cultivar
rice
methodology
cultivars
Japan
environmental assessment
environmental response
phenology
photoperiod
estimation method
trial
parameter
climate change
genetic algorithm
phenotype
prediction
experiment
crop
temperature

Keywords

  • Crop model parameters
  • Cross-validation
  • Oryza sativa
  • Variety trials

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials. / Fukui, Shin; Ishigooka, Yasushi; Kuwagata, Tsuneo; Hasegawa, Toshihiro.

In: Journal of Agricultural Meteorology, Vol. 71, No. 2, 10.06.2015, p. 77-89.

Research output: Contribution to journalArticle

Fukui, Shin ; Ishigooka, Yasushi ; Kuwagata, Tsuneo ; Hasegawa, Toshihiro. / A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials. In: Journal of Agricultural Meteorology. 2015 ; Vol. 71, No. 2. pp. 77-89.
@article{0c260b700cb44cfeb8af7b3c5f7a3341,
title = "A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials",
abstract = "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.",
keywords = "Crop model parameters, Cross-validation, Oryza sativa, Variety trials",
author = "Shin Fukui and Yasushi Ishigooka and Tsuneo Kuwagata and Toshihiro Hasegawa",
year = "2015",
month = "6",
day = "10",
doi = "10.2480/agrmet.D-14-00042",
language = "English",
volume = "71",
pages = "77--89",
journal = "J. AGRICULTURAL METEOROLOGY",
issn = "0021-8588",
publisher = "Society of Agricultural Meteorology of Japan/Nihon Nogyo Kisho Gakkai",
number = "2",

}

TY - JOUR

T1 - A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials

AU - Fukui, Shin

AU - Ishigooka, Yasushi

AU - Kuwagata, Tsuneo

AU - Hasegawa, Toshihiro

PY - 2015/6/10

Y1 - 2015/6/10

N2 - 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.

AB - 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.

KW - Crop model parameters

KW - Cross-validation

KW - Oryza sativa

KW - Variety trials

UR - http://www.scopus.com/inward/record.url?scp=84930687266&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930687266&partnerID=8YFLogxK

U2 - 10.2480/agrmet.D-14-00042

DO - 10.2480/agrmet.D-14-00042

M3 - Article

AN - SCOPUS:84930687266

VL - 71

SP - 77

EP - 89

JO - J. AGRICULTURAL METEOROLOGY

JF - J. AGRICULTURAL METEOROLOGY

SN - 0021-8588

IS - 2

ER -