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Water
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Soil Moisture Content and Crop Production Research
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Soil Moisture Content and Crop Production Research

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water, Agriculture and Aquaculture".

Deadline for manuscript submissions: closed (21 June 2022) | Viewed by 13349

Special Issue Editors

Dr. Rangjian Qiu

E-Mail Website
Guest Editor
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: evapotranspiration measurement and estimaiton; irrigaiton management; climate change; water and heat transfer; environmental stress
Dr. Zhenchang Wang

E-Mail Website
Guest Editor
College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China
Interests: irrigation management; salt stress; partial rootzone drying irrigation; reclamation of coastal saline soil

Special Issue Information

Dear Colleagues,

Water is a critical factor affecting crop production. Water scarcity has restricted the expansion of irrigation agriculture. Hence, studying the relation between soil water content and crop production is important in order to improve water productively and to ensure sustainable crop production under limited water resources. The scope of this Special Issue is to collect manuscripts that present novel studies, approaches, and management methods that can enhance our understanding of the relationship between soil water content and crop production at different scales under ambient and climate change conditions. Review manuscripts are also welcome.

Dr. Rangjian Qiu
Dr. Zhenchang Wang
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. Water is an international peer-reviewed open access semimonthly 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

  • relation between crop production and water
  • root water uptake
  • water productivity
  • crop evapotranspiration
  • water stress
  • salinity stress
  • crop model
  • remote sensing
  • climate change

Published Papers (5 papers)

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Research

16 pages, 4730 KiB  
Article
Comparison of Projections of Precipitation over Yangtze River Basin of China by Different Climate Models
by Hong Pan, Youjie Jin and Xiaochen Zhu
Water 2022, 14(12), 1888; https://doi.org/10.3390/w14121888 - 12 Jun 2022
Cited by 10 | Viewed by 1972
Abstract
Based on the observational dataset CN05.1 and the Coupled Model Intercomparison Project (CMIP), this study assesses the performance of CMIP5 and CMIP6 projects in projecting mean precipitation at annual and seasonal timescales in the Yangtze River Basin of China over the period 2015–2020 [...] Read more.
Based on the observational dataset CN05.1 and the Coupled Model Intercomparison Project (CMIP), this study assesses the performance of CMIP5 and CMIP6 projects in projecting mean precipitation at annual and seasonal timescales in the Yangtze River Basin of China over the period 2015–2020 under medium emission scenarios (RCP4.5/SSP2-4.5). Results indicate that the multi-model ensemble (MME) of CMIP6 overall has lower relative bias and root-mean square error of both annual and seasonal mean than that of CMIP5, except for winter, but both of the two ensembles show the best projected accuracy in winter. Generally, CMIP6 outperformed CMIP5 in capturing spatial and temporal pattern over the YRB, especially in the midstream and downstream areas, which have high precipitation. Further analyses suggest that the CMIP6 GCMs have lower median normalized root-mean square error than CMIP5 GCMs. Based on the Taylor skill (TS) score, both CMIP6 and CMIP5 GCMs are ranked to evaluate relative model performance. CMIP6 GCMs have higher ranks than CMIP5 GCMs, with an average TS score of 0.68 (0.55) for CMIP6 (CMIP5), and three out of the five highest scored GCMs are CMIP6 GCMs. However, the CMIP6 precipitation projections are still quite uncertain, thus requiring further assessment and correction. Full article
(This article belongs to the Special Issue Soil Moisture Content and Crop Production Research)
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13 pages, 4402 KiB  
Article
Climate-Induced Yield Losses for Winter Wheat in Henan Province, North China and Their Relationship with Circulation Anomalies
by Hui Zheng, Jin Huang and Jiadong Chen
Water 2021, 13(23), 3341; https://doi.org/10.3390/w13233341 - 25 Nov 2021
Cited by 4 | Viewed by 1660
Abstract
Risk analysis using climate-induced yield losses (CIYL) extracted from long-term yield data have been recognized in China, but the research focusing on the time-series characteristics of risk and the circulation signals behind yield losses still remains incomplete. To address these challenges, a case [...] Read more.
Risk analysis using climate-induced yield losses (CIYL) extracted from long-term yield data have been recognized in China, but the research focusing on the time-series characteristics of risk and the circulation signals behind yield losses still remains incomplete. To address these challenges, a case study on winter wheat production in Henan province, north China was conducted by using annual series of yield in 17 cities during 1988–2017 and monthly series of 15 types of large-scale oceanic-atmospheric circulation indices (LOACI). A comprehensive risk assessment method was established by combining the intensity, frequency, and variability of CIYL and principal component analysis (PCA). The results showed that the westernmost Henan was identified as the area of higher-risk. PCA and Mann–Kendall trend tests indicated that the southern, northern, eastern, and western areas in Henan province were classified as having different annual CIYL variations in these four sub-regions; the decreasing trend of CIYL in northern area was the most notable. Since the 2000s, a significant decline in CIYL was found in each sub-region. It should be noted that the key LOACI, which includes Tropical Northern Atlantic Index (TNA), Western Hemisphere warm pool (WHWP), and Southern oscillation index (SOI), indicated significant CIYL anomalies in some months. Furthermore, the regional yield simulation results using linear regression for the independent variables of year and various LOACI were satisfactory, with the average relative error ranging from 3.48% to 6.87%. Full article
(This article belongs to the Special Issue Soil Moisture Content and Crop Production Research)
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13 pages, 2066 KiB  
Article
Horticultural Performance of Greenhouse Cherry Tomatoes Irrigated Automatically Based on Soil Moisture Sensor Readings
by Henrique Fonseca E. de Oliveira, Hugo de Moura Campos, Marcio Mesquita, Roriz Luciano Machado, Luis Sérgio Rodrigues Vale, Ana Paula Silva Siqueira and Rhuanito Soranz Ferrarezi
Water 2021, 13(19), 2662; https://doi.org/10.3390/w13192662 - 27 Sep 2021
Cited by 11 | Viewed by 4049
Abstract
Precision irrigation is essential to improve water use efficiency (WUE), defined as the amount of biomass produced per unit of water used by plants. Our objective is to evaluate the effect of different soil volumetric water content (VWC) in plant growth, fruit yield, [...] Read more.
Precision irrigation is essential to improve water use efficiency (WUE), defined as the amount of biomass produced per unit of water used by plants. Our objective is to evaluate the effect of different soil volumetric water content (VWC) in plant growth, fruit yield, quality, and WUE of cherry tomatoes grown in a greenhouse. We tested four VWC thresholds (0.23, 0.30, 0.37, and 0.44 m3 m−3) to trigger a drip irrigation system in two tomato cultivars (‘Sweet Heaven’ and ‘Mascot F1’). The experiment was arranged in a split-plot design with four replications. We used capacitance sensors connected to an open-source, low-cost platform to monitor and control the irrigation in real-time based on demand. Plants were watered every time the soil VWC dropped below the set thresholds. The treatment with VWC 0.44 m3 m−3 resulted in the highest fruit yield, with 102.10% higher WUE when compared to the VWC 0.23 m3 m−3 in both cultivars. Fruit quality traits such as longitudinal and equatorial diameter increased asymptotically with soil water content. In contrast, treatments with deficit irrigation increased the fruit soluble solids by 15.73% in both cultivars. These results strongly suggest that accurate control of the soil VWC is essential to modulate the fruit yield and quality attributes in tomatoes produced in the greenhouse. Full article
(This article belongs to the Special Issue Soil Moisture Content and Crop Production Research)
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13 pages, 1988 KiB  
Article
Simulations of the Soil Evaporation and Crop Transpiration Beneath a Maize Crop Canopy in a Humid Area
by Tianting Guo, Chunwei Liu, Ying Xiang, Pei Zhang and Ranghui Wang
Water 2021, 13(14), 1975; https://doi.org/10.3390/w13141975 - 19 Jul 2021
Cited by 3 | Viewed by 1960
Abstract
Soil evaporation (Es) and crop transpiration (Tc) are important components of water balance in cropping systems. Comparing the accurate calculation by crop models of Es and Tc to the measured evaporation and transpiration has significant advances to the optimal [...] Read more.
Soil evaporation (Es) and crop transpiration (Tc) are important components of water balance in cropping systems. Comparing the accurate calculation by crop models of Es and Tc to the measured evaporation and transpiration has significant advances to the optimal configuration of water resource and evaluation of the accuracy of crop models in estimating water consumption. To evaluate the adaptation of APSIM (Agricultural Production Systems simulator) in calculating the Es and Tc in Nanjing, APSIM model parameters, including the meteorological and soil parameters, were measured from a two-year field experiment. The results showed that: (1) The simulated evaporation was basically consistent with the measured Es, and the regulated model can effectively present the field evaporation in the whole maize growth period (R2 = 0.85, D = 0.96, p < 0.001); and (2) The trend of the simulated Tc can present the actual Tc variation, but the accuracy was not as high as the evaporation (R2 = 0.74, D = 0.87, p < 0.001), therefore, the simulation of water balance process by APSIM will be helpful in calculating Es and Tc in a humid area of Nanjing, and its application also could predict the production of maize fields in Nanjing. Full article
(This article belongs to the Special Issue Soil Moisture Content and Crop Production Research)
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13 pages, 4460 KiB  
Article
Quantitative Evaluation of the Trade-Off Growth Strategies of Maize Leaves under Different Drought Severities
by Xueyan Ma, Guangsheng Zhou, Gen Li and Qiuling Wang
Water 2021, 13(13), 1852; https://doi.org/10.3390/w13131852 - 02 Jul 2021
Cited by 5 | Viewed by 2428
Abstract
The leaf is one of the most drought-sensitive plant organs. Investigating how leaf traits change and their trade-off growth during a drought would contribute to developing targeted drought-resistance measures. We investigated changes in five key maize leaf traits (leaf area, dry mass, effective [...] Read more.
The leaf is one of the most drought-sensitive plant organs. Investigating how leaf traits change and their trade-off growth during a drought would contribute to developing targeted drought-resistance measures. We investigated changes in five key maize leaf traits (leaf area, dry mass, effective number, water content, and specific weight) and their trade-off growth based on a drought simulation experiment. We also developed an indicator (0, 1) to quantitatively evaluate drought severity. The results showed a trade-off growth between different leaf traits of maize plants under drought conditions. Maize maintained relatively high leaf water content to maintain high leaf metabolic activity until drought severity was greater than 0. When drought severity was (0, 0.48), maize tended to adopt rapid growth strategy by maintaining regular leafing intensity and investing more energy into leaf area rather than specific leaf weight so that more energy could be absorbed. When the drought severity exceeded 0.48, maize conserved its resources for survival by maintaining relatively lower metabolic activity and thicker leaves to minimize water loss. The results provide an insight into the acclimation strategies of maize under drought, and contribute to targeted drought prevention and relief measures to reduce drought-induced risks to food security. Full article
(This article belongs to the Special Issue Soil Moisture Content and Crop Production Research)
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