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High-Efficiency Utilization of Water-Fertilizer Resources and Green Production of Crops
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1. College of Agronomy, Northwest A&F University, Yangling 712100, China
2. Institute of Water Saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, China
Prof. Dr. Xianqing Hou
School of Agriculture, Ningxia University, Yinchuan 750021, China
Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Dr. Peng Wu
College of Agriculture, Shanxi Agricultural University, Taigu 030801, China
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High-Efficiency Utilization of Water-Fertilizer Resources and Green Production of Crops

Abstract submission deadline
31 October 2024
Manuscript submission deadline
31 December 2024
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Topic Information

Dear Colleagues,

Arid and semi-arid areas account for about 36% of total global land area, hosting more than 80 countries and 40% of the global population. They compose the main food production regions and contain abundant soil and photothermal resources. However, agricultural production in these areas is limited by drought, infertility, soil erosion, etc. Additionally, traditional agronomic management approaches have greatly affected arid and semi-arid agroecosystems through soil degradation, soil nutrient loss, water pollution, etc. The imbalance between agricultural production and the environment seriously hinders the achievement of the Sustainable Development Goals related to agriculture in these regions. Recently, many agronomic management approaches have been proposed to promote crop production, increase resource efficiency, and improve farmland environments in arid and semi-arid regions, i.e., film mulching, organic matter application, fertilizer reduction, straw return, intercropping, water-efficient irrigation, and conservation tillage. Thus, we need to explore the mechanisms of these management approaches on crop production and the environment, as well as their synergistic effects on production and ecological functioning. For this reason, we welcome high-quality interdisciplinary studies on the high-efficiency utilization of water–fertilizer resources and green production of crops to address the contradiction between production and the environment in arid and semi-arid areas.

Dr. Peng Zhang
Prof. Dr. Xianqing Hou
Dr. Wenyi Dong
Dr. Peng Wu
Topic Editors

Keywords

  • field crop
  • high yield
  • high-efficiency utilization
  • soil water and fertilizer management
  • soil health
  • semi-arid area
  • dryland farming

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Agriculture
agriculture 		3.3 4.9 2011 20.2 Days CHF 2600 Submit
Agronomy
agronomy 		3.3 6.2 2011 15.5 Days CHF 2600 Submit
Crops
crops 		- - 2021 24.2 Days CHF 1000 Submit
Plants
plants 		4.0 6.5 2012 18.2 Days CHF 2700 Submit

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Published Papers (2 papers)

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17 pages, 3461 KiB  
Article
Nitrogen Reduction and Organic Fertiliser Application Benefits Growth, Yield, and Economic Return of Cotton
by Huangcheng He, Xuemei Lou and Jianguo Liu
Agriculture 2024, 14(7), 1073; https://doi.org/10.3390/agriculture14071073 - 3 Jul 2024
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Abstract
The application of excessive nitrogen fertiliser has been found to have a detrimental impact on the growth and development of cotton in Xinjiang, China. This has resulted in a reduction in cotton yield and economic benefit. The aim of this study was to [...] Read more.
The application of excessive nitrogen fertiliser has been found to have a detrimental impact on the growth and development of cotton in Xinjiang, China. This has resulted in a reduction in cotton yield and economic benefit. The aim of this study was to investigate the potential for reducing the input of inorganic N fertiliser while maintaining the quality and yield formation of cotton. The objective of this study was to examine the growth, photosynthesis, and yield of cotton crops subjected to varying fertiliser treatments. The experiment was conducted in 2021–2022 with eight treatments in the experiment: no fertiliser (CK); conventional application of inorganic nitrogen fertiliser (T0); T1–T3, with 8%, 16%, and 24% reduction in inorganic nitrogen fertiliser application, respectively; and T4–T6, with organic fertilisers replacing the reduced inorganic nitrogen fertiliser application of T1–T3, respectively. In comparison to T0, T5 demonstrated the most notable agronomical performance and yield components across both years. This is attributable to the spatial distribution of cotton bolls, which was more conducive to the net photosynthetic rate and yield formation. This, in turn, led to an augmented photosynthetic capacity, enhanced biomass accumulation, and an elevated harvesting index. The results of the economic benefit analysis demonstrated that in comparison to the control treatment (T0), the net profit of all treatments except T3 increased. In conclusion, the economic benefit reached its maximum in the range of a 9.90–14.10% reduction in nitrogen and a 16.60–17.60% substitution of organic fertiliser. Full article
(This article belongs to the Topic High-Efficiency Utilization of Water-Fertilizer Resources and Green Production of Crops)
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22 pages, 2134 KiB  
Article
Parameterization of Four Models to Estimate Crop Evapotranspiration in a Solar Greenhouse
by Shikai Gao, Yu Li, Xuewen Gong and Yanbin Li
Plants 2024, 13(11), 1579; https://doi.org/10.3390/plants13111579 - 6 Jun 2024
Viewed by 413
Abstract
Working to simplify mechanistic models on the basis of reliability for estimating crop evapotranspiration (ET) in a greenhouse is still worthwhile for horticulturists. In this study, four ET models (Penman–Monteith, Priestley–Taylor, and Shuttleworth–Wallace models, and the Crop coefficient method) were parameterized after taking [...] Read more.
Working to simplify mechanistic models on the basis of reliability for estimating crop evapotranspiration (ET) in a greenhouse is still worthwhile for horticulturists. In this study, four ET models (Penman–Monteith, Priestley–Taylor, and Shuttleworth–Wallace models, and the Crop coefficient method) were parameterized after taking the restriction effect of resistance parameters in these models on ET into account, named as PA-PM, PA-PT, PA-CC, and PA-SW, respectively. The performance of these four parameterized models was compared at different growth stages, as well as the entire growing season. Tomatoes that were ET-grown in a solar greenhouse without a heating device were measured using weighting lysimeters during 2016–2017 and 2019–2021, in which data from 2016 were used to adjust the model parameters, and data from the other four study years were used to examine the model performance. The results indicated that the PA-PT and PA-CC models have a better performance in estimating tomato ET at four growth stages, while the PA-PM and PA-SW performed well only at the development and middle stages. Compared to the ET that was measured with the weighting lysimeters, the ET that was predicted using the PA-PM model was 27.0% lower at the initial stage, and 8.7% higher at the late stage; the ET that was computed using the PA-SW model was 19.5% and 13.6% higher at the initial and late stages, respectively. The PA-PT model yielded the lowest root mean square error and the highest index of agreement against the other models over the entire growing season, indicating that the PA-PT model is the best recommended model for estimating tomato ET in a solar greenhouse. Full article
(This article belongs to the Topic High-Efficiency Utilization of Water-Fertilizer Resources and Green Production of Crops)
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