Analysis of characteristics of rice tillering dynamics influenced by sowing dates based on DTM.

Heliyon

Hunan Biological And Electromechanical Polytechnic, Changsha, 410127, China.

Published: October 2024

AI Article Synopsis

  • The study focuses on analyzing how the timing of rice sowing affects the dynamics of tillering, breaking down the process into tiller occurrence and tiller extinction, modeled using double Logistic functions.
  • Results show that the model accurately predicts tillering dynamics, with a normalized RMSE of less than 10%, demonstrating strong reliability across various rice varieties and sowing dates.
  • The analysis revealed consistent patterns in tillering dynamics influenced by sowing dates, highlighting significant variations in rates and durations while maintaining a linear relationship across the three rice varieties studied.

Article Abstract

To quantitatively analyze the regularity and characteristics of tillering dynamics of rice at different sowing dates. In this paper, the whole process of rice tillering was decomposed into two aspects: tiller occurrence and tiller extinction, and two Logistic functions were used to describe them respectively, so as to establish a dynamic tillering model in rice based on double Logistic function (). Then, according to , dynamic tillering indexes () were defined and their calculation formulas were derived. Finally, the characteristics and laws of rice tillering dynamic response to sowing dates were analyzed using and with the observed tillering data of three rice varieties, (Hui-Liangyou 898 (HLY898), Y-Liangyou 900 (YLY900) and Y-Liangyou 911 (YLY911)), in six sowing dates (March 15, March 20, March 25, March 30, April 5, April 10). The results show that: 1. The model fits well. The normalized RMSE (RMSEn) of the fitted to the observed tillering data of different rice varieties sown at different times were all less than 10 %, and their mean values were less than 5 %. 2.The variation degree of under the influence of sowing dates had certain consistency among the three rice varieties. the inherent rate of tillering ( ), the maximum tillering rate ( ), the maximum tillers extinction rate ( ) and the duration of tillering ( ) varied greatly, while the total number of grow tillers ( ), the peak time of tillering ( ), the peak time of tillers extinction ( ) and the end time of tillering ( ) had smaller variation. 3. The eight , the inherent rate of tillering ( ), the duration of tillering ), the maximum tillering rate ( ), the number of retained tillers ( ), the peak time of tillering ( ), the end time of tillering ( ), the start time of tillers extinction ( ) and duration of tillers extinction ( ), had a consistent linear response to the sowing dates among the three rice varieties. 4. Under different sowing dates, the dynamic characteristics of tillering of YLY900 and YLY911 were relatively close, while HLY898 had great differences from YLY900 and YLY911. In this paper, the evolution process of the number of tillers of rice was accurately described by the , and the regularity and characteristics of tillering dynamics of rice were deeply revealed using the , with agronomic experiment of three varieties with six sowing dates. Therefore, it has important theoretical value to deeply understand the law of the tillering dynamic of rice affected by sowing dates and has important practical significance for guiding accurate planting and fine management of rice production from the perspective of grasping tillering dynamics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466635PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e38443DOI Listing

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