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一种适用于田间冬小麦种子萌发和幼苗分蘖的新概念模型。

A new conceptual model for seed germination and seedling tillering of winter wheat in the field.

作者信息

Chen Jinping, Whalley Peter A, Li Zhongyang, Zhang Xiaoxian, Hawkesford Malcolm J, Whalley W Richard

机构信息

Shangqiu Station of National Field Agroecosystem Experimental Network of China, Shangqiu, Henan Province 476000, People's Republic of China.

Seminar for Statistics, Department of Mathematics, ETH Zurich, Zurich, Switzerland.

出版信息

R Soc Open Sci. 2025 Jan 22;12(1):240723. doi: 10.1098/rsos.240723. eCollection 2025 Jan.

Abstract

Seed germination is a crucial stage in plant development, intricately regulated by various environmental stimuli. Understanding these interactions is essential for optimizing planting and seedling management but remains challenging due to the trade-off effects of environmental factors on the germination process. We proposed a new conceptual model by viewing seed germination as a dynamic process in a physiological dimension, with the influence of environmental factors and seed heterogeneity characterized by a germination speed and a dispersion coefficient. To validate the model, we conducted field experiments by drilling wheat seeds at different dates to establish a temperature gradient and in different plots to create a soil water content gradient. Comparisons with our experimental data and literature results show the model accurately reproduces all germination patterns and the subsequent seedling tillering, with  > 0.95. Our results reveal that within suboptimal temperature range, the seed germination increases asymptotically with temperature, and that as soil water content increases, the germination speed increases initially before decreasing, illustrating the trade-off effect of soil water on bioavailability of water and oxygen. Introducing a physiological dimension enables seed germination and the subsequent tillering process to be modelled as a continuous physiological process, providing deeper insight into plant growth dynamics.

摘要

种子萌发是植物发育中的一个关键阶段,受到各种环境刺激的复杂调控。了解这些相互作用对于优化种植和幼苗管理至关重要,但由于环境因素对萌发过程的权衡效应,这仍然具有挑战性。我们提出了一个新的概念模型,将种子萌发视为生理维度上的动态过程,环境因素和种子异质性的影响通过萌发速度和分散系数来表征。为了验证该模型,我们通过在不同日期播种小麦种子以建立温度梯度,并在不同地块进行实验以创建土壤水分含量梯度。与我们的实验数据和文献结果的比较表明,该模型能够准确再现所有萌发模式以及随后的幼苗分蘖,相关系数大于0.95。我们的结果表明,在次优温度范围内,种子萌发随温度呈渐近增加,并且随着土壤水分含量的增加,萌发速度最初增加,然后下降,这说明了土壤水分对水和氧气生物有效性的权衡效应。引入生理维度能够将种子萌发及随后的分蘖过程建模为连续的生理过程,从而更深入地了解植物生长动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a4/11750395/ea023d7a5e6b/rsos.240723.f001.jpg

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