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Cereal Research Communications

, Volume 33, Issue 2–3, pp 569–576 | Cite as

Bilinear thermal time models for predicting flowering time of rice

  • Béla GombosEmail author
  • Ibolya Simon-Kiss
Article

Abstract

Temperature is a dominant factor in rice development. Various thermal time methods are a possible way to model the development, and are able to predict phenological stages such as flowering. In our studies three different bilinear models were studied concerning the predicting of duration from emergence to flowering of rice based on phenological data collected from rice experiments carried out in the Irrigation Research Institute between 1991 and 1999 with the rice variety Ringola. The advance from linear model, which is preferred in agriculture involves an upper threshold temperature as a second parameter, and describes the development rate with a constant (Method 1) and two different steepness functions of linear decrease (Method 2 and 3) above this threshold. The duration of the phenological phase showed only slight variations (coefficient of variation, CV=6.43), thus the average number of days offered an acceptable prediction. The linear method did not show a significant improvement (CV=3.96) on the level P=5%. However the three tested bilinear methods resulted in significant development (CV=2.75; 2.71 and 2.73) if adequate parameters were applied. The distribution of variation coefficients according to different parameter combinations gave information on sensitivity of methods, while the adequate parameters of lower and upper thresholds provided some hints about climatic demands of rice.

Key words

degree day temperature rice phenology flowering 

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© Akadémiai Kiadó, Budapest 2005

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Faculty of Agricultural Water and Environmental ManagementTessedik Sámuel CollegeSzarvasHungary
  2. 2.Research Institute for Fisheries, Aquaculture and IrrigationSzarvasHungary

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