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Agronomy
Volume 12
Issue 1
10.3390/agronomy12010157
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Correction to Agronomy 2021, 11(4), 674.
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Correction

Correction: Rugira et al. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China. Agronomy 2021, 11, 674

by
Patrick Rugira
1,
Juanjuan Ma
1,*,
Lijian Zheng
1,
Chaobao Wu
2 and
Enke Liu
3
1
College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2
Shanxi Provincial Central Irrigation Experiment Station, Wenshui 032100, China
3
Shanxi Institute of Organic Dryland Farming, Shanxi Agricultural University, Taiyuan 030800, China
*
Author to whom correspondence should be addressed.
Agronomy 2022, 12(1), 157; https://doi.org/10.3390/agronomy12010157
Submission received: 16 November 2021 / Accepted: 13 December 2021 / Published: 9 January 2022
Versions Notes
Error in Figure
In the original publication, there was a mistake in Figure 1. Study area map. as published. There is a missing part of the map of China. The corrected Figure 1. Study area map. appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated [1].
Agronomy 12 00157 i001

Reference

  1. Rugira, P.; Ma, J.; Zheng, L.; Wu, C.; Liu, E. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China. Agronomy 2021, 11, 674. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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MDPI and ACS Style

Rugira, P.; Ma, J.; Zheng, L.; Wu, C.; Liu, E. Correction: Rugira et al. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China. Agronomy 2021, 11, 674. Agronomy 2022, 12, 157. https://doi.org/10.3390/agronomy12010157

AMA Style

Rugira P, Ma J, Zheng L, Wu C, Liu E. Correction: Rugira et al. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China. Agronomy 2021, 11, 674. Agronomy. 2022; 12(1):157. https://doi.org/10.3390/agronomy12010157

Chicago/Turabian Style

Rugira, Patrick, Juanjuan Ma, Lijian Zheng, Chaobao Wu, and Enke Liu. 2022. "Correction: Rugira et al. Application of DSSAT CERES-Maize to Identify the Optimum Irrigation Management and Sowing Dates on Improving Maize Yield in Northern China. Agronomy 2021, 11, 674" Agronomy 12, no. 1: 157. https://doi.org/10.3390/agronomy12010157

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