Unveiling the germination patterns of Alternaria porri (Ellis) by using regression analysis and hydrothermal time modeling
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 °C and 25 °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 °C, and five different water potentials between 0 MPa and - 6 MPa. The germination of Alternaria porri conidia was highest at 25 °C and 0 MPa and lowest at 5 °C and - 6 MPa. The percentage of conidia germination decreased rapidly after 25 <sup>o</sup>C. 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 (R<sup>2</sup> = 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 θT1 were observed at -6.0 MPa at 30 °C, and 0 MPa at 5 °C and the highest and lowest θT2 values were recorded at -6.0 MPa at 5 °C and 0 MPa at 30 °C while the lowest and highest θH values were recorded at -6.0 MPa at 5 °C and 0 MPa at 25 °C, respectively, for the HTT model, the predicted θHTT average value is 16.32 (MPa°Ch-1). Based on the statistical analysis, the cardinal hydrothermal time constant (θHTT) accurately explains the interactive effect of T and Ψ on the germination of Alternaria porri conidia under different environmental conditions.
Authors
- Mohammed Moulay
- Alevcan Kaplan (ORCID: https://orcid.org/0000-0001-6738-7527)
- ELsiddig Idriss Mohamed (ORCID: https://orcid.org/0009-0004-4303-8567)
- Rehman Ullah (ORCID: https://orcid.org/0000-0003-1941-0096)
- Souad Baowidan (ORCID: https://orcid.org/0000-0002-9868-6818)
- Muhammad Nauman Khan (ORCID: https://orcid.org/0000-0003-3790-0902)
- Diriba Dereje (ORCID: https://orcid.org/0000-0002-9834-0809)
- Steve Harakeh (ORCID: https://orcid.org/0000-0001-7512-8787)
- Asfand Yar (ORCID: https://orcid.org/0000-0002-8041-8612)
- Majid Iqbal (ORCID: https://orcid.org/0000-0003-0561-8494)
- Muhammad Ammar Javed (ORCID: https://orcid.org/0000-0001-9308-5127)
- Sezai Ercisli
Institutions
- Jimma University (ET)
- The University of Western Australia (AU)
- King Abdulaziz University (SA)
- Chinese Academy of Sciences (CN)
- Islamia College University (PK)
- Batman University (TR)
- University of Peshawar (PK)
- Institute of Geographic Sciences and Natural Resources Research (CN)
- University of Chinese Academy of Sciences (CN)
- Atatürk University (TR)
- University of Tabuk (SA)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1038/s41598-024-76050-4
- Citations
- 2
- Primary Topic
- Agriculture, Plant Science, Crop Management
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- King Abdulaziz University