Efficient Strategies for the Utilization of Water Resources and Nutrients and Crop Production

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Water Use and Irrigation".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 1773

Special Issue Editors


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Guest Editor
College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China
Interests: water-saving irrigation, deficit irrigation, effect of water and fertilizer managements on greenhouse gas emission in farmland; carbon and nitrogen cycling and utilization in farmland

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Guest Editor
College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin, China
Interests: water saving irrigation theory and technology; effect of water-fertilizer interaction on the quality of crop

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Guest Editor
College of Agriculture, Health, and Natural Resources, Kentucky State University, Frankfort, KY 40601, USA
Interests: soils; crop-soils interactions; surface-atmosphere gas flux

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Guest Editor
School of Agricultutural and Wine Sciences, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW 2650, Australia
Interests: crop water productivity modelling; soil–plant–water–atmosphere interaction; soil hydrology; deficit irrigation; climate variability and change; on-farm irrigation water management
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Special Issue Information

Dear Colleagues,

The unscientific use of water and fertilizer resources in agriculture has led to several serious issues, including agricultural non-point source pollution, water eutrophication, and greenhouse gas emissions. These have brought about great challenges to the sustainable development of agricultural production. Water scarcity and the low water and fertilizer utilization efficiency have become primary bottlenecks restricting the high-quality development of modern agriculture. In the context of global climate change and soil quality degradation, the development of green and efficient agriculture requires the efficient utilization of agricultural resources and the enhancement of arable land production capacity. In recent years, various water–fertilizer management strategies have been proposed to achieve the goals of the efficient utilization of farmland resources and emission reduction. These managements include mulched drip irrigation, regulated deficit irrigation, combined application of organic and inorganic fertilizers, application of organic/inorganic soil amendments, application of slow/controlled release fertilizers, and straw returning to the field.

This Special issue will focus on the impact of water and fertilizer managements on fertility improvements, crop yield and quality, water and fertilizer resource utilization, and carbon and nitrogen cycle processes in farmlands. The topics of this Special Issue include, but are not limited to, the following:

1) Spatiotemporal migration simulation of water, fertilizer, and salt in farmlands;

2) Effects of different irrigation and fertilization modes on the farmland ecological environment;

3) The relationship between soil water/fertilizer absorption and crop water and fertilizer absorption;

4) The optimization of crop irrigation and fertilization systems based on crop growth process simulation;

5) Effect of cultivation modes on water and fertilizer utilization regulation of crops;

6) Impacts of climate change on agricultural production and its simulation.

We hope that this collection will provide valuable experience for the scientific management of water and fertilizer and promote the sustainable development of agricultural production. 

Prof. Dr. Yang Gao
Dr. Junlin Zheng
Dr. Xiaojun Shen
Dr. Maheteme Gebremedhin
Dr. Ketema Zeleke
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water-saving irrigation
  • water and fertilizer coupling
  • water use efficiency
  • climate change
  • solute transport
  • numerical simulation
  • greenhouse gas emissions
  • yield
  • quality

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Published Papers (2 papers)

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Research

19 pages, 3099 KiB  
Article
Improving the Microenvironmental of Spring Soybean Culture and Increasing the Yield by Optimization of Water and Nitrogen
by Lei Zhang, Hongbo Wang, Yang Gao, Weixiong Huang, Zhenxi Cao, Maosong Tang, Fengnian Zhao, Yuanhang Guo and Xingpeng Wang
Agronomy 2024, 14(12), 2814; https://doi.org/10.3390/agronomy14122814 - 26 Nov 2024
Viewed by 580
Abstract
Optimizing water and nitrogen management is an effective measure to reduce nitrogen fertilizer loss and environmental pollution risks. This study aims to quantify the impacts of different water and nitrogen management strategies on the soil microenvironment and yield of spring soybeans in southern [...] Read more.
Optimizing water and nitrogen management is an effective measure to reduce nitrogen fertilizer loss and environmental pollution risks. This study aims to quantify the impacts of different water and nitrogen management strategies on the soil microenvironment and yield of spring soybeans in southern Xinjiang. In this study, two irrigation quotas were established: W1—36 mm (low water) and W2—45 mm (high water). Three nitrogen application gradients were established: low nitrogen (150 kg·hm−2, N1), medium nitrogen (225 kg·hm−2, N2), and high nitrogen (300 k kg·hm−2, N3). The analysis focused on soil physicochemical properties, enzyme activities, microbial community diversity, soybean yield, and soybean quality changes. The results indicate that the activities of nitrate reductase and urease, as well as total nitrogen content, increased with higher irrigation and nitrogen application rates. The W2N3 treatment significantly increased 0.15 to 4.39, 0.18 to 1.04, and 0.31 to 1.73 times. (p < 0.05). Alkaline protease and sucrase activities increased with higher irrigation amounts, while their response to nitrogen application exhibited an initial increase followed by a decrease. The W2N2 treatment significantly increased by 0.10 to 0.34 and 0.07 to 1.46 times (p < 0.05). Irrigation significantly affected the soil bacterial community structure, while the coupling effects of water and nitrogen notably influenced soil bacterial abundance (p < 0.05). Increases in irrigation and nitrogen application enhanced bacterial diversity and species abundance. Partial least squares path analysis indicated that water–nitrogen coupling directly influenced the soil microenvironment and indirectly produced positive effects on soybean yield and quality. An irrigation quota of 4500 m3 hm−2 and a nitrogen application rate of 300 kg·hm−2 can ensure soybean yield while enhancing soil microbial abundance. The findings provide insights into the response mechanisms of soil microbial communities in spring soybeans to water–nitrogen management, clarify the relationship between soil microenvironments and the yield and quality of spring soybeans, and identify optimal irrigation and fertilization strategies for high quality and yield. This research offers a theoretical basis and technical support for soybean cultivation in southern Xinjiang. Full article
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21 pages, 7174 KiB  
Article
Forecasting and Comparative Application of PV System Electricity Generation for Sprinkler Irrigation Machines Based on Multiple Models
by Bohan Li, Kenan Liu, Yaohui Cai, Wei Sun and Quan Feng
Agronomy 2024, 14(11), 2696; https://doi.org/10.3390/agronomy14112696 - 15 Nov 2024
Viewed by 561
Abstract
Currently, photovoltaic (PV) resources have been widely applied in the agricultural sector. However, due to the unreasonable configuration of multi-energy collaboration, issues such as unstable power supply and high investment costs still persist. Therefore, this study proposes a solution to reasonably determine the [...] Read more.
Currently, photovoltaic (PV) resources have been widely applied in the agricultural sector. However, due to the unreasonable configuration of multi-energy collaboration, issues such as unstable power supply and high investment costs still persist. Therefore, this study proposes a solution to reasonably determine the area and capacity of PV panels for irrigation machines, addressing the fluctuations in power generation of solar sprinkler PV systems under different regional and meteorological conditions. The aim is to more accurately predict photovoltaic power generation (PVPG) to optimize the configuration of the solar sprinkler power supply system, ensuring reliability while reducing investment costs. This paper first establishes a PVPG prediction model based on four forecasting models and conducts a comparative analysis to identify the optimal model. Next, annual, seasonal, and solar term scale models are developed and further studied in conjunction with the optimal model, using evaluation metrics to assess and compare the models. Finally, a mathematical model is established based on the optimal combination and solved to optimize the configuration of the power supply system in the irrigation machines. The results indicate that among the four PVPG prediction models, the SARIMAX model performs the best, as the R2 index reached 0.948, which was 19.4% higher than the others, while the MAE index was 10% lower than the others. The solar term scale model exhibited the highest accuracy among the three time scale models, the RMSE index was 4.8% lower than the others, and the MAE index was 1.1% lower than the others. After optimizing the configuration of the power supply system for the irrigation machine using the SARIMAX model based on the solar term scale, it is verified that the model can ensure both power supply reliability and manage energy overflow effectively. Full article
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