2020
DOI: 10.2480/agrmet.d-19-00042
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Winter wheat phenological development model with a vernalization function using sigmoidal and exponential functions

Abstract: Wheat is one of the world's most important crops, and its phenological model is useful for scheduling agricultural practices such as fungicide or fertilizer application. Although various wheat phenological models have been developed throughout the world, a conventional modelmostly used for Japanese cultivarsis one wherein temperature and daylength responses are expressed as sigmoidal and exponential functions that do not have a vernalization function. Since a gradual rise in daily development rate is expressed… Show more

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Cited by 11 publications
(5 citation statements)
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“…In this study, thermal time was used to predict the emergence date from the sowing date, and we determined that all wheat cultivars started emergence when the accumulation of the ambient mean air temperature was over 110 °C. The heading date was predicted from emergence using the sigmoid and exponential function–based (SEB) model (Kawakita, Ishikawa, et al., 2020), which calculated the daily wheat development using the daily ambient mean temperature and day length data from emergence. The SEB model can express the different responses of individual cultivars to temperature using cultivar‐dependent parameters, and the details of the model are described in the Supplemental Document S1.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, thermal time was used to predict the emergence date from the sowing date, and we determined that all wheat cultivars started emergence when the accumulation of the ambient mean air temperature was over 110 °C. The heading date was predicted from emergence using the sigmoid and exponential function–based (SEB) model (Kawakita, Ishikawa, et al., 2020), which calculated the daily wheat development using the daily ambient mean temperature and day length data from emergence. The SEB model can express the different responses of individual cultivars to temperature using cultivar‐dependent parameters, and the details of the model are described in the Supplemental Document S1.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, the GDD are an added value to the variety description (Mc-Master and Smika 1988). Some new methods have been developed to decrease the errors in the models (Haggard et al 2010;Kawakita et al 2020;Zhou and Wang 2018).…”
Section: Collected Phenological Datamentioning
confidence: 99%
“…The use of Sigmoidal-Logistic model has been reported for use in various fields such as variability of force during continuous isometric contractions, 48 enzyme inactivation kinetics, 49 growth of plants, 50 phenological model, 51 methane production from thermophilic anerobic digestion, 52 mitigation of biofouling by liquid infused membranes, 53 etc.…”
Section: Sigmoidal-logistic Modelmentioning
confidence: 99%