Unveiling the germination patterns of Alternaria porri (Ellis) by using regression analysis and hydrothermal time modeling
文献类型：期刊论文
| 作者 | Yar, Ali15; Ullah, Rehman15; Khan, Muhammad Nauman7,16; Iqbal, Majid8,12; Ercisli, Sezai10,11; Kaplan, Alevcan9; Olana, Diriba Dereje6; Javed, Muhammad Ammar13; Mohamed, ELsiddig Idriss3; Baowidan, Souad14 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2024-10-28 |
| 卷号 | 14期号:1页码:17 |
| 关键词 | |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-024-76050-4 |
| 产权排序 | 4 |
| 英文摘要 | Purple blotch disease is a major fungal disease of Allium cepa L. plants which is caused by the fungus Alternaria porri. The best conditions for the growth of Alternaria porri are temperatures between 22 degrees C and 25 degrees C and relatively high humidity. The Hydrotime, Thermal Time, and Hydrothermal Time models were used to measure different parameters of seed germination; therefore, we used them to measure the interactive effects of temperature and water potential on the germination conidia of Alternaria porri. The laboratory experiments were carried out at five constant temperatures, between 5 and 30 degrees C, and five different water potentials between 0 MPa and - 6 MPa. The germination of Alternaria porri conidia was highest at 25 degrees C and 0 MPa and lowest at 5 degrees C and - 6 MPa. The percentage of conidia germination decreased rapidly after 25 oC. Conidia germination was also affected by different water potentials, decreasing at lower water potential. Models based on HTT showed a reasonable fit to the germination and growth rate datasets. The best fitting model for conidia germination (R2 = 0.98491) was based on variable base and maximum temperature as a function of water potential. Based on the TT, HT, and models, the highest and lowest values for theta T1 were observed at -6.0 MPa at 30 degrees C, and 0 MPa at 5 degrees C and the highest and lowest theta T2 values were recorded at -6.0 MPa at 5 degrees C and 0 MPa at 30 degrees C while the lowest and highest theta H values were recorded at -6.0 MPa at 5 degrees C and 0 MPa at 25 degrees C, respectively, for the HTT model, the predicted theta HTT average value is 16.32 (MPa degrees Ch-1). Based on the statistical analysis, the cardinal hydrothermal time constant (theta HTT) accurately explains the interactive effect of T and Psi on the germination of Alternaria porri conidia under different environmental conditions. |
| WOS关键词 | SEED-GERMINATION ; PURPLE BLOTCH ; CARDINAL TEMPERATURES ; CONIDIAL GERMINATION ; MYCELIAL GROWTH ; WATER ; L. ; QUANTIFICATION ; MANAGEMENT ; RESISTANCE |
| 资助项目 | Institutional Fund projects[IFPIP: 1824-166-1443] ; Ministry of Education and King Abdulaziz University (KAU), Deanship of Scientific Research (DSR), Jeddah, Saudi Arabia |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001345832100023 |
| 出版者 | NATURE PORTFOLIO |
| 资助机构 | Institutional Fund projects ; Ministry of Education and King Abdulaziz University (KAU), Deanship of Scientific Research (DSR), Jeddah, Saudi Arabia |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211075]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Olana, Diriba Dereje; Javed, Muhammad Ammar |
| 作者单位 | 1.King Abdulaziz Univ, King Fahd Med Res Ctr, Stem Cell Res Unit, Jeddah 21589, Saudi Arabia 2.King Abdulaziz Univ, Fac Appl Med Sci, Dept Med Lab Sci, Jeddah 21589, Saudi Arabia 3.Univ Tabuk, Fac Sci, Dept Stat, Tabuk 71491, Saudi Arabia 4.King Abdulaziz Univ, King Fahd Med Res Ctr, Jeddah 21589, Saudi Arabia 5.King Abdulaziz Univ, Fac Med, Yousef Abdul Latif Jameel Sci Chair Prophet Med Ap, Jeddah 21589, Saudi Arabia 6.Jimma Univ, Inst Hlth, Dept Biomed Sci, Jimma 378, Ethiopia 7.Univ Peshawar, Univ Publ Sch, Peshawar 25120, Pakistan 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China 9.Batman Univ, Sason Vocat Sch, Dept Crop & Anim Prod, TR-72060 Batman, Turkiye 10.HGF Agro, Ata Teknokent, Erzurum, Turkiye |
| 推荐引用方式 GB/T 7714 | Yar, Ali,Ullah, Rehman,Khan, Muhammad Nauman,et al. Unveiling the germination patterns of Alternaria porri (Ellis) by using regression analysis and hydrothermal time modeling[J]. SCIENTIFIC REPORTS,2024,14(1):17. |
| APA | Yar, Ali.,Ullah, Rehman.,Khan, Muhammad Nauman.,Iqbal, Majid.,Ercisli, Sezai.,...&Moulay, Mohammed.(2024).Unveiling the germination patterns of Alternaria porri (Ellis) by using regression analysis and hydrothermal time modeling.SCIENTIFIC REPORTS,14(1),17. |
| MLA | Yar, Ali,et al."Unveiling the germination patterns of Alternaria porri (Ellis) by using regression analysis and hydrothermal time modeling".SCIENTIFIC REPORTS 14.1(2024):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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