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Correction

Correction: Li et al. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165

1
Tea Research Institute, Qingdao Agricultural University, Qingdao 266109, China
2
School of Science and Information Science, Qingdao Agricultural University, Qingdao 266109, China
3
Tea Research Institute, Shandong Academy of Agricultural Sciences, Jinan 276800, China
*
Author to whom correspondence should be addressed.
Agronomy 2025, 15(3), 560; https://doi.org/10.3390/agronomy15030560
Submission received: 27 December 2024 / Accepted: 23 January 2025 / Published: 25 February 2025
The journal’s Editorial Office and Editorial Board are jointly issuing a resolution and removal of the Journal Notice linked to this article [1] as well as an update to the original publication. Following concerns raised about the integrity of the peer-review process, the Editorial Office has conducted a post-publication peer review of this article. This process included the recruitment of a new independent reviewer and was supervised by an Editorial Board member to ensure full compliance with MDPI’s Editorial Process (https://www.mdpi.com/editorial_process; accessed on 6 January 2025).
As a result of this process, the Editorial Board member and the authors have agreed to update the following aspect of this publication:
This review report has been removed from the review record as it did not conform with MDPI’s standards (https://www.mdpi.com/reviewers#_bookmark11; accessed on 6 January 2025).
With this update, the Editorial Board member is satisfied that the Editorial Process relating to this article has been completed as per MDPI’s Editorial Process policy. The Editorial Office would like to thank the authors for their collaboration during this process.

Reference

  1. Li, H.; Mao, Y.; Wang, Y.; Fan, K.; Shi, H.; Sun, L.; Shen, J.; Shen, Y.; Xu, Y.; Ding, Z. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Li, H.; Mao, Y.; Wang, Y.; Fan, K.; Shi, H.; Sun, L.; Shen, J.; Shen, Y.; Xu, Y.; Ding, Z. Correction: Li et al. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165. Agronomy 2025, 15, 560. https://doi.org/10.3390/agronomy15030560

AMA Style

Li H, Mao Y, Wang Y, Fan K, Shi H, Sun L, Shen J, Shen Y, Xu Y, Ding Z. Correction: Li et al. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165. Agronomy. 2025; 15(3):560. https://doi.org/10.3390/agronomy15030560

Chicago/Turabian Style

Li, He, Yilin Mao, Yu Wang, Kai Fan, Hongtao Shi, Litao Sun, Jiazhi Shen, Yaozong Shen, Yang Xu, and Zhaotang Ding. 2025. "Correction: Li et al. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165" Agronomy 15, no. 3: 560. https://doi.org/10.3390/agronomy15030560

APA Style

Li, H., Mao, Y., Wang, Y., Fan, K., Shi, H., Sun, L., Shen, J., Shen, Y., Xu, Y., & Ding, Z. (2025). Correction: Li et al. Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth. Agronomy 2022, 12, 3165. Agronomy, 15(3), 560. https://doi.org/10.3390/agronomy15030560

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