Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1017/S0960258521000040 |
Estimation of thermal time model parameters for seed germination in 15 species: the importance of distribution function | |
Chen, Dali; Chen, Xianglai; Wang, Jingjing; Zhang, Zuxin; Wang, Yan; Jia, Cunzhi; Hu, Xiaowen | |
通讯作者 | Hu, XW (corresponding author), Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Peoples R China. |
来源期刊 | SEED SCIENCE RESEARCH
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ISSN | 0960-2585 |
EISSN | 1475-2735 |
出版年 | 2021 |
卷号 | 31期号:2页码:83-90 |
英文摘要 | Thermal time models have been widely applied to predict temperature requirements for seed germination. Generally, a log-normal distribution for thermal time [theta(T(g))] is used in such models at suboptimal temperatures to examine the variation in time to germination arising from variation in theta(T(g)) within a seed population. Recently, additional distribution functions have been used in thermal time models to predict seed germination dynamics. However, the most suitable kind of the distribution function to use in thermal time models, especially at suboptimal temperatures, has not been determined. Five distributions (log-normal, Gumbel, logistic, Weibull and log-logistic) were used in thermal time models over a range of temperatures to fit the germination data for 15 species. The results showed that a more flexible model with the log-logistic distribution, rather than the log-normal distribution, provided the best explanation of theta(T(g)) variation in 13 species at suboptimal temperatures. Thus, at least at suboptimal temperatures, the log-logistic distribution is an appropriate candidate among the five distributions used in this study. Therefore, the distribution of parameters [theta(T(g))] should be considered when using thermal time models to prevent large deviations; furthermore, an appropriate equation should be selected before using such a model to make predictions. |
英文关键词 | distribution function log-logistic distribution seed germination temperature thermal time model |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000669061200001 |
WOS关键词 | HYDROTHERMAL TIME ; CARDINAL TEMPERATURES ; GRAIN LEGUMES ; CHICKPEA ; DESERT ; L. |
WOS类目 | Plant Sciences |
WOS研究方向 | Plant Sciences |
来源机构 | 兰州大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/351757 |
作者单位 | [Hu, Xiaowen] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Peoples R China; [Chen, Dali] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Key Lab Grassland Livestock Ind Innovat, Minist Agr & Rural Affairs, Lanzhou 730000, Peoples R China; [Chen, Dali] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Minist Educ, Engn Res Ctr Grassland Ind, Lanzhou 730000, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Dali,Chen, Xianglai,Wang, Jingjing,et al. Estimation of thermal time model parameters for seed germination in 15 species: the importance of distribution function[J]. 兰州大学,2021,31(2):83-90. |
APA | Chen, Dali.,Chen, Xianglai.,Wang, Jingjing.,Zhang, Zuxin.,Wang, Yan.,...&Hu, Xiaowen.(2021).Estimation of thermal time model parameters for seed germination in 15 species: the importance of distribution function.SEED SCIENCE RESEARCH,31(2),83-90. |
MLA | Chen, Dali,et al."Estimation of thermal time model parameters for seed germination in 15 species: the importance of distribution function".SEED SCIENCE RESEARCH 31.2(2021):83-90. |
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