Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 37860
Title A model for photothermal responses of flowering in rice. I. Model description and parameterization.
Author(s) Yin, X.; Kropff, M.J.; Horie, T.; Nakagawa, H.; Centeno, H.G.S.; Zhu, D.; Goudriaan, J.
Source Field Crops Research 51 (1997)3. - ISSN 0378-4290 - p. 189 - 200.
DOI https://doi.org/10.1016/S0378-4290(96)03456-9
Department(s) Research Institute for Agrobiology and Soil Fertility
Theoretical Production Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 1997
Abstract Most models that predict crop development based on temperature and photoperiod ignore critical changes in photothermal responses during crop ontogeny. A new, detailed model was developed to predict development to flowering in rice (Oryza sativa L.), based on the Beta function which is commonly used for skewed probability density functions in statistics. As the model accounts for different photothermal responses of three successive phases during preflowering ontogeny, it was referred to as the three-stage Beta model. The model was parameterized for 17 rice cultivars using data of two controlled-environment experiments. Model parameters which do not vary strongly among cultivars and parameters which can be estimated from values of other parameters were identified. This analysis reduced the number of parameters to be estimated to five. The parameters from the controlled-environment experiments were used to predict rice development as observed from an independent three-location field experiment with 12 cultivars. The model accurately predicted varietal and locational variation in rice flowering date.
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