Water productivity improvement in summer maize – A case study in the North China Plain from 1980 to 2019

Zhang, Xiying; Uwimpaye, Fasilate; Yan, Zongzheng; Shao, Lei; Chen, Suying; Sun, Hang; Liu, Xiuwei

doi:10.1016/j.agwat.2020.106728

Cited by 17 publications

(7 citation statements)

References 42 publications

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“…Therefore, ET = SWD + P + I was used under the experimental conditions of this study. Water productivity (WP) was defined as the grain yield divided by the seasonal ET [35].…”

Section: Soil Water Content Seasonal Water Use and Water Productivitymentioning

confidence: 99%

Intermittent Deep Tillage on Improving Soil Physical Properties and Crop Performance in an Intensive Cropping System

Guan

Chen

et al. 2022

Agronomy

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Soil management practices are important parts of sustainable agriculture. Improving tillage practice is important for alleviating soil degradation and promoting sustainable grain production. A four year field experiment was conducted to examine the effects of deep tillage (DT), incorporated into the minimum tillage (MT), on soil physical properties and crop performance. The field experiments included continuous rotary tillage (RT), continuous DT, and intermittent DT every three years, every two years, and every other year, into RT. The results showed that the introduction of DT into continuous RT reduced the soil bulk density of the 20-30 cm soil layer by 5.6% and reduced nutrient stratification rates by 20–30%, which favored more uniformly distributed soil nutrients in the top soil layer. The root growth for treatments with DT in the deep soil layers (1–1.5 m) was significantly improved, which resulted in a higher soil water depletion. Under deficit irrigation scheduling, the improved root growth and soil water uptake in the deep soil layer improved crop growth and grain production. Overall, a 10.5% increase in yield and 18.3% increase in water productivity were observed when intermittent DT was introduced during the four years. The effects of DT could be maintained for two continuous years. Therefore, it was suggested that after two or three years of RT, DT should be applied to improve soil physical properties and ensure high grain production.

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“…Therefore, ET = SWD + P + I was used under the experimental conditions of this study. Water productivity (WP) was defined as the grain yield divided by the seasonal ET [35].…”

Section: Soil Water Content Seasonal Water Use and Water Productivitymentioning

confidence: 99%

Intermittent Deep Tillage on Improving Soil Physical Properties and Crop Performance in an Intensive Cropping System

Guan

Chen

et al. 2022

Agronomy

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“…Improving water productivity in grain production is critical for maintaining food supply in regions with water scarcity 44 , and appropriate irrigation and nitrogen application are helpful to improve water use e ciency 13 . Previous studies have showed that WUE was not affected by irrigation rate, but a decrease in nitrogen application rate resulted in a decrease in WUE at all irrigated treatments 45 .…”

Section: Biomass Accumulation and Grain Yieldmentioning

confidence: 99%

Water and Nitrogen Coupling Effects on Grain Yield, Water and Nitrogen use Efficiency of Oilseed Flax in Semiarid Area of China

Cui¹,

Gao²,

Yan³

et al. 2021

Preprint

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Irrigation and nitrogen management are essential for sustainable agricultural development in arid and semi-arid regions. Lower water availability and fertilizer utilization are two major factors of constrainting agricultural production in the semi-arid regions. Therefore, improving the utilization efficiency of water and fertilizer has become an important research goal. A two-year field experiment was laid out in a split-plot design with no irrigation (I0), 1200 m3 ha−1 (I1200) and 1800 m3 ha−1 (I1800) as the main factor and 0 (N0), 60 (N60) and 120 (N120) kg N ha−1 nitrogen rate as a sub-factor to investigate the effects of irrigation and nitrogen rates on precipitation storage efficiency (PSE), soil water storage, grain yield, and water and nitrogen use efficiency of oilseed flax in the Loess Plateau of China. The result showed that irrigation and nitrogen significantly increased PSE, soil water storage during the fallow period (ΔSWCf), dry matter accumulation and grain yeild of oilseed flax. However, the change of soil-water storage during the growing season (ΔSWCg) and the change of soil-water storage in the whole year (ΔSWCy) decreased. Soil water storage in irrigation supply treatment at after harvest in each growing season was higher than that in non-irrigation. PSE was highest under I1800N120 treatment. I1800 increased SWSs, SWSh and ETg at 2018 and improved above-ground biomass (anthesis and maturity stage), while decreased WUE and WUEI. Grain yield under 60 and 120 kg N ha−1 with 1800 m3 ha−1 increased by 69.12, 68.07 (2017) and 22.77, 15.23% (2018), respectively, when compared to the I0N0 treatment. Considering flax grain yield, water and nitrogen productivity, 60 or 120 kg/ha N and irrigation of 1800 m3/ha are recommended for water and nitrogen management of oilseed flax in Loess Plateau of China.

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“…However, there were rare reports about the application of UAV multispectral images on the inversion of soil moisture at deep soil layers. It is well-known that the moisture of the soil surface is variable and that the soil stored deep in a profile is more similar to the farmland in moisture content and crop water absorption [13,14]. Thus, more research on the inversion of deep soil moisture content with remote sensing monitoring was urgently needed.…”

Section: Introductionmentioning

confidence: 99%

The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain

Wang,

Sha,

Liu

et al. 2024

Water

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Soil moisture content is one of the most important soil indices for agriculture production. With the increasing food requirement and limited irrigation water sources, it is of great significance to accurately and quickly measure the soil moisture content for precision irrigation, especially in deficient agricultural areas, such as North China Plain. To achieve this goal, more attention was paid to the application of unmanned aerial vehicle multispectral reflectance technology. However, it was urgent to enhance the regression models between spectral data and soil realistic moisture content, and there were limited studies about the regression research on deep soil layers. Thus, the farmland of winter wheat–summer maize double cropping at Yongnian District, Hebei, North China, was selected as the study area. A six-band multispectral camera mounted on a low-altitude unmanned aerial vehicle (UAV) was used to obtain the field spectral reflectance with bands from 470~810 nm, and meanwhile, soil moisture content at different depths (10, 20, 30, 40, 50, and 60 cm) was measured after maize sowing. Unary linear regression (ULR), multivariate linear regression (MLR), ridge regression (RR), and an artificial neural network (ANN) were employed to establish regression models. The results demonstrated that the sensitive bands of spectral reflectance were 690 nm, 470 nm, and 810 nm. Those models all established significant regression at the depths of 0–20 cm and 40–60 cm, particularly at 10, 50, and 60 cm soil layers. However, for a depth of 20–40 cm, the prediction accuracy was generally lower. Among MLR, RR, and BP models, the MLR exhibited the highest identification accuracy, which was most recommended for the application. The findings of this study provide technical guidance and effective regression for the multispectral reflectance on the farmland of North China Plain, especially for deep soil layer moisture prediction.

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Water productivity improvement in summer maize – A case study in the North China Plain from 1980 to 2019

Cited by 17 publications

References 42 publications

Intermittent Deep Tillage on Improving Soil Physical Properties and Crop Performance in an Intensive Cropping System

Intermittent Deep Tillage on Improving Soil Physical Properties and Crop Performance in an Intensive Cropping System

Water and Nitrogen Coupling Effects on Grain Yield, Water and Nitrogen use Efficiency of Oilseed Flax in Semiarid Area of China

The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain

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