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通过水热时间模型量化温度和渗透胁迫对磨盘草种子发芽率和幼苗生长的影响。

Quantifying Temperature and Osmotic Stress Impact on Seed Germination Rate and Seedling Growth of Mill. via Hydrothermal Time Model.

作者信息

Khan Sheharyar, Ullah Abd, Ullah Sami, Saleem Muhammad Hamzah, Okla Mohammad K, Al-Hashimi Abdulrahman, Chen Yinglong, Ali Shafaqat

机构信息

Department of Botany, University of Peshawar, Peshawar 25120, Pakistan.

Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

出版信息

Life (Basel). 2022 Mar 9;12(3):400. doi: 10.3390/life12030400.

DOI:10.3390/life12030400
PMID:35330151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8955359/
Abstract

Germination models are quite helpful in predicting emergence times, dormancy periods, and their applications in crop management. This study investigated the germination behaviors of Mill. in response to fluctuations in temperatures () and water potentials (). Germination percentage (GP) increased 95% with rising temperature within the range of 20-30 °C, and decreased 25% at 5 °C. Moreover, each and resulted in a decrease in GP as decreased. Further, we noted that the 1 value was substantially high at 30 °C and in (0 MPa), whereas the 2 value was maximum at 10 °C (-0.02 MPa) and it decreased with decreasing . The maximum hydrothermal time constant (HTT) and hydrotime (H) values were obtained at 10 and 30 °C, respectively. In addition, a linear increase in the GR pattern was observed at and a decrease below the . The calculated cardinal was 5 °C for the base , and 30 °C for both the optimum and ceiling . The germination characteristics were higher at 30 °C having (0 MPa). Therefore, using cardinal temperatures, germination results, and the hydrothermal time model (HTT) could reveal the independent and interactive impacts of both and the on the response of seed germination subjected to diverse environmental conditions.

摘要

发芽模型对于预测出苗时间、休眠期及其在作物管理中的应用非常有帮助。本研究调查了[植物名称未给出]在温度([具体温度单位未给出])和水势([具体水势单位未给出])波动下的发芽行为。在20 - 30°C范围内,随着温度升高,发芽率(GP)增加了95%,而在5°C时降低了25%。此外,随着[具体变量未明确]降低,每个[具体变量未明确]和[具体变量未明确]都会导致GP下降。进一步地,我们注意到在30°C和(0 MPa)时1值相当高,而2值在10°C(-0.02 MPa)时最大,并且随着[具体变量未明确]降低而减小。最大热时常数(HTT)和热时间(H)值分别在10°C和30°C时获得。此外,在[具体条件未明确]时观察到GR模式呈线性增加,而在[具体条件未明确]以下则下降。计算得出的基础温度基数为5°C,最适温度和上限温度基数均为30°C。在30°C且(0 MPa)时发芽特性更高。因此,利用温度基数、发芽结果和热时间模型(HTT)可以揭示[具体变量未明确]和[具体变量未明确]对种子在不同环境条件下发芽响应的独立和交互影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/8f809fb7c25c/life-12-00400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/c1d97b8feb3f/life-12-00400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/9a04f4831286/life-12-00400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/b69c0287d2b8/life-12-00400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/8f809fb7c25c/life-12-00400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/c1d97b8feb3f/life-12-00400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/9a04f4831286/life-12-00400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/b69c0287d2b8/life-12-00400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/8955359/8f809fb7c25c/life-12-00400-g004.jpg

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