Wang Xiaohui, Zou Dang, Li Can, Zhou Wei, Li Kefu, Tang Qiyuan, Zhu Xinghui, Li Xumeng, Cao Leping
College of Agronomy, Hunan Agricultural University, Changsha, Hunan, 410128, China.
College of Information and Intelligence Sciences, Hunan Agricultural University, Changsha, Hunan, 410128, China.
Heliyon. 2024 Sep 25;10(19):e38443. doi: 10.1016/j.heliyon.2024.e38443. eCollection 2024 Oct 15.
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.
为定量分析不同播种期水稻分蘖动态的规律及特征。本文将水稻分蘖全过程分解为分蘖发生和分蘖消亡两个方面,分别用两个逻辑斯蒂函数进行描述,从而建立基于双逻辑斯蒂函数的水稻动态分蘖模型。然后,依据该模型定义了动态分蘖指标并推导其计算公式。最后,利用该模型和动态分蘖指标,结合三个水稻品种(徽两优898(HLY898)、Y两优900(YLY900)和Y两优911(YLY911))在六个播种期(3月15日、3月20日、3月25日、3月30日、4月5日、4月10日)的实测分蘖数据,分析水稻分蘖动态对播种期的响应特征和规律。结果表明:1. 模型拟合效果良好。不同播种期播种的不同水稻品种的拟合分蘖数据的归一化均方根误差(RMSEn)均小于10%,其平均值小于5%。2. 三个水稻品种在播种期影响下的动态分蘖指标变化程度具有一定一致性。分蘖固有速率( )、最大分蘖速率( )、最大分蘖消亡速率( )和分蘖持续时间( )变化较大,而总生长分蘖数( )、分蘖高峰期( )、分蘖消亡高峰期( )和分蘖结束期( )变化较小。3. 八个动态分蘖指标,即分蘖固有速率( )、分蘖持续时间( )、最大分蘖速率( )、保留分蘖数( )、分蘖高峰期( )、分蘖结束期( )、分蘖消亡起始期( )和分蘖消亡持续时间( ),在三个水稻品种中对播种期具有一致的线性响应。4. 在不同播种期下,YLY900和YLY911的分蘖动态特征较为接近,而HLY898与YLY900和YLY911差异较大。本文通过双逻辑斯蒂函数准确描述了水稻分蘖数的演变过程,并利用该模型和动态分蘖指标结合三个品种六个播种期的农艺试验,深入揭示了水稻分蘖动态的规律及特征。因此,深入了解播种期影响下水稻分蘖动态规律具有重要的理论价值,从把握分蘖动态角度对指导水稻生产精准种植和精细管理具有重要的实践意义。