Next Article in Journal
Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation
Previous Article in Journal
Sunflower Growth and Grain Yield under Different Tillage Systems and Sources of Organic Manure on Contrasting Soil Types in Limpopo Province of South Africa
Previous Article in Special Issue
Effects of Fertilization Practices on the Metabolic Functions of Soil Microbial Communities under Subsurface Irrigation with Stalk Composite Pipe
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Response of Triticum Vulgare Growth and Nitrogen Allocation to Irrigation Methods and Regimes under Subsoiling Tillage

1
Institute of Farmland Irrigation, Chinese Academy of Agriculture Sciences, Xinxiang 453003, China
2
Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China
3
Henan Agricultural Efficient Water Field Scientific Observation and Research Station, Xinxiang 453003, China
4
Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China
5
Henan Yudong Water Conservancy Security Center, Kaifeng 475000, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Agronomy 2024, 14(4), 858; https://doi.org/10.3390/agronomy14040858
Submission received: 28 March 2024 / Revised: 18 April 2024 / Accepted: 19 April 2024 / Published: 19 April 2024

Abstract

:
Subsoiling tillage breaks up the shallow plow layer and thickened plow pan resulting from prolonged crop rotation, thus enhancing the soil tillage layer environment and fostering crop growth. However, these changes in tillage practices are not accompanied by corresponding advancements in irrigation technology. Therefore, this study compared drip irrigation (DI) and micro-sprinkler irrigation (MS) with three watering levels (H, M, L) based on soil water content (70%, 60%, 50% of field capacity) against traditional surface irrigation (CK, 70%FC) to find the most suitable irrigation approach for subsoiling wheat fields. This study found that adjusting irrigation methods and regimes significantly impacted wheat growth and yield. Drip irrigation boosts winter wheat grain yield, harvest index, biomass transfer amount, biomass transfer rate, nitrogen accumulation, nitrogen use efficiency, and nitrogen harvest index significantly compared to surface and micro-sprinkler methods. Drip irrigation, notably the DI-M treatment, significantly enhances winter wheat grain yield by 28.7% compared to CK. Drip irrigation produced optimal results when soil water levels decreased to 60% of the field capacity. This suggests adopting a combination of DI, with irrigation initiated at 60% of field capacity, for enhanced wheat production and resource efficiency.

1. Introduction

The Huang–Huai–Hai Plain plays a crucial role in China’s grain production as the nation’s primary winter wheat-producing region. However, with the development of the agricultural economy, agricultural mechanization has been widely adopted, and the weight of agricultural machinery continues to increase, leading to soil compaction in crops [1]. Additionally, frequent continuous tillage practices in most parts of the Huaihe–Huai Plain have resulted in deep soil compaction, thickening of the plow pan layer, and shallower plow layer formation. In the Huang–Huai–Hai Plain’s northern region, the plow layer soil averages only 14.7 cm thick. The 15–35 cm layer is predominantly the plow pan layer, with a bulk density of 1.6 g·cm−3, notably exceeding the optimal range for crop growth (1.1–1.3 g·cm−3) [2,3]. Additionally, the poor plow layer structure weakens the functions of coordinating soil water, fertilizer, air, and heat, resulting in a shallow distribution of crop roots and significant limitations on water and nutrient absorption [4]. Constructing a reasonable plow layer structure through appropriate tillage practices is an important approach to improving crop water and nutrient utilization efficiency and enhancing soil productivity [5].
Studies suggest that subsoiling effectively disrupts the plow pan layer, leading to improved soil permeability, increased water retention capacity, and enhanced resilience to adverse conditions. These benefits create a conducive soil plow layer environment for crop growth, fostering crop development and ultimately increasing yield [6]. Subsoiling accomplishes this by decreasing soil bulk density, enhancing soil porosity, and promoting the infiltration of irrigation and rainfall, thereby reducing surface runoff and minimizing inefficient evaporation. Consequently, it enhances soil water and rainfall storage and fortifies soil buffering capacity against drought, with more pronounced effects observed during drier periods [7]. However, it is noteworthy that some studies have found that subsoiling, by disrupting the plow pan layer, may increase leaching, thereby potentially reducing soil water storage capacity and the availability of soil nutrients [8]. This phenomenon could be attributed to the plow pan layer’s role in minimizing water percolation loss and nutrient leaching loss, thereby providing a certain level of water and nutrient retention effect.
Irrigation stands as a pivotal agronomic management practice crucial for ensuring high and consistent yields of winter wheat, directly influencing soil structure and the dynamics of water and nutrient movement, thereby impacting aboveground plant growth [9]. Traditional surface irrigation methods often contribute to detrimental effects on soil aggregates, resulting in surface sealing. Conversely, micro-irrigation, particularly drip irrigation, demonstrates the capacity to improve the stability of soil micro-aggregates and preserve soil structure [10]. Drip irrigation, being a prominent water-saving irrigation technology, offers the advantage of conserving water and fertilizer resources [11]. Drip irrigation enhances water use efficiency and changes the distribution of water, nutrients, and roots in the soil by delivering precise amounts of nutrients and water directly to the crop root zone [11,12,13]. Research indicates that drip irrigation leads to increased root density in wheat plants, facilitating enhanced root water and nutrient absorption, and consequently improving crop productivity [12,13]. Moreover, drip irrigation contributes to bolstering crop photosynthesis, promoting dry matter accumulation, and ultimately boosting crop productivity [14,15,16]. Micro-sprinkler irrigation, another water-saving micro-irrigation method, has been shown to elevate the chlorophyll content of winter wheat, retard leaf aging, enhance net photosynthetic rate and electron transfer in photosynthesis, and diminish intercellular CO2 concentration, transpiration rate, and leaf stomatal conductance, thereby furnishing ample dry matter for grain formation [17]. Comparative analyses indicate that micro-sprinkler irrigation, in contrast to surface irrigation, conserves water by 9–11%, augments yield by 6–11%, and enhances crop water productivity [18,19]. Furthermore, irrigation methods can be integrated with fertilization, yielding benefits such as increased wheat yield, enhanced fertilizer utilization, augmented soil carbon storage, and reduced greenhouse gas emissions from farmland [20,21]. Fertilization in conjunction with drip irrigation has been found to enhance water and nutrient absorption, elevate nitrogen fertilizer utilization efficiency, and effectively curtail nitrogen leaching losses, reducing deep leaching losses of nitrate nitrogen by 90% [20,22,23,24].
In the Huang–Huai–Hai region, while surface irrigation remains prevalent, water-saving irrigation technologies, like drip irrigation and micro-sprinklers, are swiftly gaining traction, gradually supplanting traditional flood irrigation methods. Given the evolving farming practices, traditional irrigation approaches no longer align with subsoiling tillage techniques. Will water-saving irrigation methods improve the accumulation of dry matter and post-flowering dry matter transfer in winter wheat? Can they enhance winter wheat’s nitrogen utilization efficiency? These questions deserve widespread attention. This study aims to explore the effects of various irrigation methods and regimes on the post-anthesis biomass accumulation and transfer processes of winter wheat under subsoiling tillage conditions. Its primary aims encompass elucidating the nitrogen utilization efficiency of winter wheat and identifying the optimal irrigation method and regime for its cultivation under subsoiling tillage. The insights gleaned from this study are poised to furnish a crucial theoretical foundation and empirical evidence for devising appropriate irrigation and fertilization management systems tailored to winter wheat cultivation under subsoiling tillage. Such advancements hold significant theoretical and practical implications in facilitating the attainment of environmentally sustainable and efficiently augmented winter wheat yields under subsoiling tillage practices.

2. Materials and Methods

2.1. Experimental Site

The experiment took place at the Xinxiang Comprehensive Experimental Base of the Chinese Academy of Agricultural Sciences, situated in Qiliying, Xinxiang, Henan Province. This study spanned from October 2020 to June 2022 (35.15° N, 113.80° E, altitude 81 m). The area falls within a temperate semi-humid climate zone, is prone to drought, and serves as a significant production hub for winter wheat within the Huang–Huai–Hai Plain. The cropping system is primarily based on a rotation of winter wheat and summer maize. The region receives an average annual precipitation of 582 mm and experiences an average annual temperature of 14 °C. The groundwater depth is greater than 5 m, with a frost-free period of 210 days. The soil at the experimental site originates from the alluvial sediments of the Yellow River and is categorized as Aquic Ustochrept, a type of paddy soil, under the USDA soil taxonomy [25]. It exhibits a sandy loam texture, comprising 57.3% sand, 4.05% clay, and 38.6% silt. Soil physicochemical properties of the 0–40 cm soil layer are shown in Table 1.
Near the experimental site, a weather station (YM-HJ03, Handan Chuangmeng Electronic Technology Company Limited, Handan, China) was installed. It recorded cumulative rainfall of 172 mm and 60 mm during the winter wheat growing seasons, respectively. Daily average temperatures and daily precipitation are shown in Table 2.

2.2. Experimental Design

This study uses Zhoumai 22 as the experimental variety, with a seeding rate of 210 kg·ha−1 and a row spacing of 20 cm for winter wheat, and the previous crop of wheat is summer maize. Planting was conducted on 13 October 2020 and 30 October 2021, with harvests on 4 June 2021 and 6 June 2022. The parameters of the wheat seeder and harvester are shown in Tables S1 and S2. The experimental design involved two factors: irrigation method and irrigation regime. The experimental setup included two variables: irrigation method (drip irrigation—DI, micro-sprinkler irrigation—MS) and irrigation regimen (well watered—H, mild water deficit—M, and moderate water deficit—L), with irrigation thresholds set at 70%, 60%, and 50% of field capacity, respectively. Border irrigation at 70% of field capacity, representing the local conventional irrigation regime, serves as the control (CK). In total, there are 7 treatments, with each treatment plot measuring 50 × 13 m2, subdivided into 3 subplots of 50 × 4.3 m2 each, and these serve as 3 replicates. The specific experimental design is detailed in Table 3. The irrigation quotas for border irrigation, micro-sprinkler irrigation, and drip irrigation are 90 mm, 45 mm, and 30 mm, respectively.
Tillage involved deep plowing to a depth of 35 cm once every two years on the day of winter wheat sowing. The parameters of the soil deep loosening machine are shown in Table S3. Subsoiling was conducted before sowing in 2020 and 2022. The spacing between drip irrigation emitters was 0.6 m, while the spacing between micro-sprinkler tape and between micro-sprinkler heads was 2 m. Each furrow plot measured 50 m in length and 3.4 m in width. Irrigation amounts were 30 mm for drip irrigation, 45 mm for micro-sprinkler irrigation, and 90 mm for surface irrigation when the lower limits were reached. The irrigation amount of each treatment during the whole growth period is shown in Table 4. Basic fertilization is carried out using urea (46.7% N), calcium superphosphate (16% P2O5), and potassium sulfate (50% K2O) for nitrogen, phosphorus, and potassium, respectively. Prior to sowing, the fertilizers are spread on the surface and incorporated into the soil using a rotary tillage machine. A standard fertilization rate of 120 kg·ha−1 was utilized for phosphorus and potassium application. Nitrogen fertilizer was applied at a rate of 240 kg·ha−1, with 40% applied as basic fertilizer and 60% as topdressing using fertigation during the regreening stage of wheat. Other field management measures are consistent with local agricultural practices.

2.3. Data Collection

2.3.1. Leaf Area Index and SPAD Value

During the winter wheat’s jointing, flowering, and filling stages, the SPAD value of wheat flag leaves was measured using a portable SPAD-502 chlorophyll meter (Konica Minolta Holdings, Inc., Tokyo, Japan), with 7 plants measured per subplot. The leaf area index (LAI) was determined using the Sunscan Canopy Analysis System (Delta T Devices Ltd., Cambridge, UK).

2.3.2. Measurements of Gas Exchange

After the flowering stage, gas exchange parameters of winter wheat leaves were measured approximately every 7 days. Measurements were conducted using an Li-6400 portable photosynthesis system (LI-COR, Lincoln, NE, USA) between 9:00 and 11:00 a.m. on sunny days. Gas exchange parameters assessed included net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO2 concentration (Ci) of the flag leaves of winter wheat. Three plants were measured for each treatment.

2.3.3. Shoot Biomass and Its Distribution

During the flowering and maturity stages of winter wheat, aboveground biomass was measured for each treatment. Three replicates were taken for each treatment, with each replicate consisting of thirty plants. Additionally, the spike density per unit area was recorded. The biomass was determined by dividing the aboveground plant parts into leaves, stems, glumes, and grains. Subsequently, all samples were dried in an oven at 105 °C for 30 min, followed by drying at 75 °C until a constant weight was achieved. The aboveground biomass was then weighed to determine the distribution percentages of leaves, stems, glumes, and grains relative to the entire aboveground biomass. Referring to the study by Fan et al. [26], we calculated the biomass accumulation after flowering (BAF, kg·ha−1), biomass transfer amount (BTA, kg·ha−1) and its transfer rate (BTR, %), and the contribution rate of BTA from vegetative organs to grain (GCR, %) using Equations (1)–(4) as follows:
BAF = Biomass   at   the   maturity   stage   Biomass   at   the   flowering   stage
BTA = Biomass   at   the   flowering   stage   ( Biomass   at   the   maturity   stage   grain   yield )
BTR = BTA Biomass   at   the   flowering   stage × 100 %
GCR = BTA Grain   yield × 100 %

2.3.4. Nitrogen Uptake and Its Utilization and Grain Yield

Nitrogen content in the leaves, stems, glumes, and grains of mature winter wheat was determined using the Kjeldahl method [27]. Referring to Qi et al. [28], nitrogen accumulation (NA, kg·ha−1) in the aboveground parts was calculated using the biomass of each organ (Equation (5)), and nitrogen use efficiency (NUE, %; Equation (6)) and nitrogen harvest index (NHI, %; Equation (7)) were calculated using grain yield.
NA = W leaf × N leaf + W stem × N stem + W glume × N glume + GY × N grain
NUE = GY NA
NHI = GY × N grain NA
where Wleaf is the leaf biomass (kg·ha−1), Nleaf is the leaf nitrogen content (%), Wstem is the stem biomass (kg·ha−1), Nstem is the stem nitrogen content (%), Wglume is the glume biomass (kg·ha−1), Nglume is the glume nitrogen content (%), GY is the grain yield (kg·ha−1), and Ngrain is the grain nitrogen content (%).

2.3.5. Root Sampling

In the 2021–2022 growing seasons, at the maturity stage of winter wheat, root samples were collected across various soil depths (0–10 cm to 70–100 cm) using a root auger. Then, the root samples underwent scanning with an Epson V850 Pro root scanner (Epson, Nagano, Japan), followed by an analysis of the scanned images using WinRHIZO 2007 software (Regent Instruments, Québec City, QC, Canada). The analyzed root parameters included root length (cm), average diameter (mm), and volume (mm3). Place the wheat roots in an oven at 105 °C to halt growth and dry them at 75 °C until a constant weight is achieved, and then measure the root dry weight (mg). Calculate the root length density, root volume density, and root dry weight density per cubic centimeter of depth unit.

2.3.6. TOPSIS Comprehensive Evaluation

The TOPSIS method was used to comprehensively evaluate the leaf area index (LAI), SPAD value, total biomass, harvest index (HI, %), grain yield (GY, kg·ha−1), biomass accumulation after flowering, biomass transfer amount (BTA, kg·ha−1), biomass transfer rate (BTR), contribution rate of transferred biomass to grain yield (GCR, %), nitrogen accumulation (NA, kg·ha−1), nitrogen harvest index (NHI), and nitrogen use efficiency (NUE) of winter wheat at the maturity stage across seven treatments in two growing seasons [29].

2.4. Statistical Analysis

Excel 2019 (Microsoft Corporation, Redmond, WA, USA) was used to record data. Data were analyzed using one-way analysis of variance (ANOVA) in SPSS 19.0 (IBM Inc., Chicago, IL, USA), and the least significant difference (LSD) test was conducted to compare the means of different treatments at a 0.05 significance level. The TOPSIS method was used to comprehensively evaluate the experimental treatment. Origin 2016 (OriginLab Corporation, Northampton, MA, USA) was used to create the figures.

3. Results

3.1. The Response of Plant Growth of Winter Wheat Leaves to Irrigation Methods and Regimes

3.1.1. LAI and SPAD Value

The change patterns of the leaf area index (LAI) and SPAD value of winter wheat remain consistent over two growing seasons (Figure 1), both peaking during the flowering stage. Under the same irrigation regime, winter wheat LAI under well-watered (H) and mild water deficit (M) treatments at the jointing stage, flowering stage, and maturity stage were significantly higher than those under moderate water deficit (L) treatment, demonstrating a trend of H ≥ M > L. Within the same irrigation method, during the flowering and maturity stages, the LAI and SPAD values of winter wheat followed the order of DI > MS > CK. Specifically, during the flowering stage, the LAI and SPAD values of the DI-H treatment increased by 11.2% and 7.7%, respectively, compared to the CK (p < 0.05), while during the maturity stage, the LAI and SPAD values of the DI-H treatment increased by 13.0% and 7.4%, respectively, compared to the CK (p < 0.05).

3.1.2. Root Growth and Density

Under different irrigation methods and irrigation regimes, the root of winter wheat primarily concentrates in the 0–10 cm soil layer (Figure 2). Within the same irrigation method, drip irrigation (DI) shows an increase in root length density in the 0–10 cm soil layer with decreasing irrigation volume (Figure 2A), while the root length density in the 0–10 cm soil layer for micro-sprinkler irrigation (MS) is ranked as H > L > M. Under the same irrigation regime, the root length density in the 0–10 cm soil layer for the well-watered (H) treatment is ranked as MS-H > DI-H > CK. The root diameter of winter wheat did not exhibit significant differences across various soil layers under different irrigation methods and regimes (Figure 2B). However, the root volume density in the 0–10 cm soil layer for both DI and MS under different irrigation regimes showed no difference and was lower than the CK (p < 0.05; Figure 2C). Within the same irrigation method, the maximum root dry weight in the 0–10 cm soil layer was observed in the well-watered (H) treatment for DI (Figure 2D), while for MS, the moderate water deficit (L) treatment showed the maximum root dry weight. Under the same irrigation regime, the ranking of root dry weight in the 0–10 cm soil layer is CK > MS > DI. In conclusion, both root growth and dry matter accumulation under DI were slightly weaker compared to the CK and MS.

3.2. The Response of Photosynthetic Characteristics of Winter Wheat Leaves to Irrigation Methods and Regimes

The variation trends of stomatal conductance (Gs), intercellular CO2 concentration (Ci), net photosynthetic rate (Pn), and stomatal conductance (Tr) in the leaves of winter wheat were generally consistent between the two growing seasons (Figure 3). Differences in stomatal conductance (Gs) among winter wheat leaves began to emerge after flowering under various irrigation methods and regimes. Within the same irrigation method, Gs decreased as water deficit intensity increased, with a 59.5% reduction in Gs for the DI-L treatment compared to the CK in late May (p < 0.05). Meanwhile, within the same irrigation regime, Gs during the mid-grain filling stage (mid-May) followed the pattern DI > MS ≥ CK (Figure 3A).
Similarly, leaf intercellular CO2 concentration (Ci) exhibited an increasing trend with water deficit intensity, while the photosynthetic rate (Pn) showed a decreasing trend (Figure 3B,C). In late May, the DI-M treatment showed the most significant reduction in Ci compared to the CK (decreased by 12.5%, p < 0.05), with the largest increase in Pn (increased by 28.7%, p < 0.05). Notably, Ci showed differences during the late grain filling stage (mid to late May) under the same irrigation regime, with the pattern CK > MS > DI, while Pn exhibited the pattern DI ≥ MS > CK. Moreover, the transpiration rate (Tr) of winter wheat leaves changed consistently with Gs. Under the same irrigation method, Tr decreased with increasing water deficit intensity after flowering, with reductions of 41.6% and 33.5% for the DI-L and MS-L treatments, respectively, compared to the CK in late May (p < 0.05). However, under the same irrigation regime, there was no difference in Tr between drip irrigation and micro-sprinkler irrigation, but both were significantly higher than conventional surface irrigation (Figure 3D). In summary, water deficit restricted the stomatal opening of winter wheat leaves during the grain filling stage, consequently reducing the leaf photosynthetic rate. Notably, both DI and MS demonstrated superior photosynthetic characteristics compared to conventional surface irrigation.

3.3. The Response of Shoot Biomass of Winter Wheat to Irrigation Methods and Regimes

Consistency in the trends of the stem, leaf, glume, grain, and total biomass during the flowering and maturity stages of winter wheat was observed across both the 2020–2021 and 2021–2022 growing seasons (Table 5). Regardless of the irrigation method, the biomass of each organ and the total biomass of winter wheat decreased as water deficit intensity increased. However, during the flowering stage under the same irrigation regimen, the micro-sprinkler irrigation treatment displayed higher biomass in each organ compared to drip irrigation and the control (CK), resulting in an 11.4% increase in total biomass for the MS-H treatment compared to the CK (p < 0.05). In contrast, during the maturity stage, both drip irrigation and micro-sprinkler irrigation treatments exhibited higher grain yield and total biomass compared to CK. Grain yield increased by 27.0% and 15.8% for DI-H and MS-H treatments, respectively, compared to the CK (p < 0.05), while total biomass increased by 12.7% and 12.6% for DI-H and MS-H treatments, respectively (p < 0.05). Additionally, drip irrigation treatments demonstrated higher grain yield compared to micro-sprinkler irrigation treatments, indicating that drip irrigation facilitated the transfer of dry matter to grains.

3.4. The Response of Shoot Biomass Distribution and Harvest Index Distribution in Winter Wheat to Irrigation Methods and Regimes

During the flowering stage of winter wheat, the bulk of dry matter is primarily stored in the stems, while during maturity, it predominantly accumulates in the grains. Dry matter is primarily transferred from the stems to the grains during this stage (Table 6). With consistent irrigation methods, the harvest index (HI) of drip irrigation treatments displays an initial increase followed by a subsequent decrease as irrigation volume decreases, whereas the harvest index of micro-sprinkler irrigation rises with reduced irrigation volume. Comparatively, under the same irrigation regimen, the HI of drip irrigation treatments surpasses that of micro-sprinkler irrigation and significantly exceeds the control (CK), showing a remarkable 31.7% increase in the HI for the DI-M treatment in contrast to the CK.

3.5. The Response of Shoot Biomass Transfer and Its Contribution Rate to Grain of Winter Wheat to Irrigation Methods and Regimes

The patterns of biomass accumulation after flowering (BAF), biomass transfer amount (BTA), biomass transfer rate (BTR), and contribution rate of transferred biomass to grain (GCR) in winter wheat remain largely consistent across the two growing seasons, as depicted in Table 7. Within the same irrigation method, both drip irrigation and micro-sprinkler irrigation exhibit a decline in BAF with decreasing water application. In drip irrigation treatment, the BTA, BTR, and GCR initially rise before declining with increasing water deficit intensity, while in micro-sprinkler irrigation treatment, they demonstrate an increasing trend. When comparing irrigation regimes, there was no significant difference in BAF between drip irrigation and micro-sprinkler irrigation treatments. However, in mild and moderate water-deficient treatments, the BTA, BTR, and GCR were all higher than the CK (p < 0.05). Particularly, the DI-M treatment showed a significantly higher BTA, BTR, and GCR compared to the CK, with increases of 157.0%, 135.3%, and 114.9%, respectively (p < 0.05). In conclusion, under water deficit conditions, drip irrigation promotes the transfer of dry matter to grains, thereby enhancing its contribution to the grain formation process.

3.6. The Response of Nitrogen Uptake and Its Utilization of Winter Wheat to Irrigation Methods and Regimes

Drip irrigation shows a declining trend in plant nitrogen accumulation (NA) as irrigation volume decreases (Figure 4A), whereas nitrogen use efficiency (NUE) and nitrogen harvest index (NHI) initially rise and then fall with increasing water deficit intensity. Conversely, for micro-sprinkler irrigation, plant NA initially increases before decreasing with water deficit intensity, while NUE and NHI decrease initially and then increase with greater water deficit intensity (Figure 4B,C). Drip irrigation treatments generally exhibit higher NA compared to micro-sprinkler irrigation and the control group (CK). Furthermore, drip irrigation treatments with mild and moderate water deficit levels demonstrate higher NUE and NHI compared to micro-sprinkler irrigation treatments. Compared to the CK, NA increases by 32.9%, 15.6%, and 11.6% in the DI-H, DI-M, and MS-M treatments, respectively (p < 0.05). Similarly, NUE increases by 12.7%, 5.0%, 20.5%, and 8.0% in the DI-M, DI-L, MS-H, and MS-L treatments, respectively, compared to the CK (p < 0.05). Additionally, the NHI under different irrigation methods and strategies surpasses that of the CK treatment (p < 0.05; Figure 4C). It is evident that drip irrigation under well-watered conditions and mild water deficit situations demonstrates advantages in terms of nitrogen accumulation and utilization.

3.7. Integrated Assessment of Irrigation Methods and Regime Strategies

Figure 5 presents the TOPSIS performance scores across different irrigation methods and regimes. In the 2020–2021 winter wheat season (Figure 5A), the TOPSIS score ranked as follows: DI-M > MS-H > DI-H > MS-M > DI-L > MS-L > CK, while in the 2021–2022 winter wheat season (Figure 5B), the order was DI-M > MS-M > DI-H > MS-L > DI-L > MS-H > CK. The normalized value radar chart further highlights that DI-M achieved the highest values for grain yield (GY), harvest index (HI), biomass transfer ability (BTA), biomass transfer rate (BTR), and grain-to-total biomass conversion rate (GCR) in both the 2020–2021 and 2021–2022 winter wheat seasons (Figure 5C,D). Overall, among all irrigation methods and regimes, DI-M emerges as the preferred choice for wheat under subsoiling fields due to its superior performance in grain yield, harvest index, and dry matter transfer rate.

4. Discussion

4.1. Response of Plant Growth and Physiological Characteristics in Subsoiling Wheat Fields to Irrigation Methods and Regimes

Roots are pivotal organs for plants, providing essential anchorage in soil and enabling the absorption and transportation of water and nutrients crucial for growth and productivity. [30]. Research has consistently shown that as soil depth increases, the density of roots, particularly in terms of length, tends to decline [31,32]. In the context of this experiment, it was observed that roots predominantly occupied the upper 0–20 cm layer of soil, with root density gradually decreasing with greater soil depth (Figure 2). Notably, when comparing different irrigation methods, it was found that wheat roots exhibited a more robust response to drip irrigation in contrast to surface irrigation [33]. Across various soil layers, both drip and micro-sprinkler irrigation treatments demonstrated higher root dry weight density and bulk density within the 0–20 cm soil layer, particularly evident under conditions of water deficit in micro-sprinkler irrigation. Intriguingly, the application of water deficit treatment via micro-sprinkler irrigation appeared to stimulate deeper root growth in the 20–100 cm soil layer, indicating a positive effect on the deep root development of winter wheat [12]. The growth and development of roots have direct implications for the uptake of soil nutrients and water, thus exerting significant influence on aboveground plant growth [24]. Despite the promotion of root growth by water deficit, it was observed that such conditions tend to limit the growth of aboveground plant parts, leading to lower leaf area index (LAI) and SPAD values in winter wheat subjected to both drip and micro-sprinkler irrigation, consequently accelerating leaf senescence [34]. However, under conditions of adequate water supply in drip and micro-sprinkler irrigation systems, there was a reduction in root bulk density and dry weight density (Figure 2C,D), which, in turn, promoted aboveground plant growth. The LAI values recorded under both irrigation systems surpassed those of the control (CK) treatment (refer to Figure 1). Increasing the amount of irrigation to alleviate crop water deficit was found to significantly enhance the leaf area index of winter wheat, thereby preventing the decline in leaf photosynthetic rate associated with premature plant aging [35].
Photosynthesis, a fundamental physiological process for plants, is highly sensitive to water deficit, which can lead to constraints in leaf porosity, reduced gas exchange, and ultimately lower photosynthetic rates [36]. In line with the experiment’s results, it was noted that leaf stomatal conductance, photosynthetic rate, and transpiration rate all declined as water deficit intensity increased. (Figure 3). The reduction in leaf water potential under conditions of water deficit prompted stomatal closure and decreased transpiration rates, consequently leading to diminished photosynthetic rates [35,37,38,39]. Furthermore, water deficit was found to suppress the downregulation of protein expression related to leaf photosynthesis and reduce leaf photosynthetic enzyme activity, thereby contributing to decreased photosynthetic rates due to non-stomatal leaf restrictions [40,41,42,43]. Consequently, there was an increasing trend in intercellular CO2 concentration with rising water deficit intensity (refer to Figure 3B). Given the higher irrigation frequency and the suitability of soil water conditions associated with drip and micro-sprinkler irrigation in comparison to border irrigation [29,44], leaves under well-watered conditions in these systems exhibited significantly higher stomatal conductance, photosynthetic rates, and transpiration rates (see Figure 3).

4.2. Response of Dry Matter Transfer and Nitrogen Allocation to Irrigation Methods and Regimes in Subsoiling Wheat Fields

Plant leaves represent the organs with the highest efficiency in photosynthesis, serving as a crucial source of carbohydrates essential for grain development [45]. However, water deficit conditions impose constraints on photosynthesis, resulting in a significant reduction in carbon absorption and utilization capacity, ultimately impacting crop dry matter accumulation and leading to decreased grain yield [45,46]. The distribution and transport of dry matter are pivotal for achieving high and stable wheat yields [47]. Particularly, post-anthesis dry matter accumulation plays a critical role in grain yield, accounting for 60–90% of the final grain yield. However, when water deficit conditions occur, post-anthesis dry matter accumulation typically diminishes, resulting in considerable yield losses [48,49,50,51]. In the context of this experiment, moderate water scarcity led to decreased dry matter mass and grain yield during both flowering and maturation stages, along with a notable reduction in grain dry matter distribution and post-flowering dry matter transfer. Consequently, there was a significant increase in the contribution rate of pre-flowering dry matter transfer to grains. In comparison with adequately irrigated (H) treatment, moderate water scarcity (L) irrigation led to a decrease in grain yield by 29.2% and 16.3% (p < 0.05). Hence, maintaining appropriate soil moisture levels is beneficial for enhancing post-flowering dry matter accumulation and, subsequently, increasing yield [52]. Different rates of soil evapotranspiration under various irrigation methods result in discrepancies in soil water distribution, further influencing the process of dry matter accumulation and transfer [47,53]. Research has indicated that drip irrigation can enhance post-flowering dry matter accumulation in wheat, significantly improving grain yield and water use efficiency [54]. Consistently, the experiment revealed that the amount of dry matter transfer, grain yield, and harvest index under drip and micro-sprinkler irrigation treatments were significantly higher compared to border irrigation treatment, with particularly notable outcomes under slight deficit (M) conditions (refer to Table 6 and Table 7). The utilization efficiency of slight water deficit and water scarcity in drip irrigation was notably superior to that of micro-sprinkler irrigation [29], suggesting that drip irrigation is more conducive to enhancing crop grain yield and water productivity [55]. Given the frequent irrigation associated with drip systems, surface soil moisture tends to be more conducive, promoting nitrogen uptake by plants and subsequently increasing crop yield [55,56,57]. Nitrogen accumulation in the DI-H treatment increased by 32.9% and 32.7% compared with CK and MS-H (p < 0.05), while the nitrogen use efficiency and nitrogen harvest index of the DI-M treatment were notably higher than the CK treatment, increasing by 12.7% and 28.7%, respectively (p < 0.05). This indicates that drip irrigation enhances total nitrogen accumulation in plants, thereby improving crop nitrogen use efficiency and overall nitrogen utilization [12,58]. A comprehensive evaluation using TOPSIS methodology concluded that the overall scores of drip and micro-sprinkler irrigation under mild water deficit (60%FC) were higher, which was consistent with the findings of Mehmood et al. [59]. Drip irrigation under a 60%FC irrigation plan exhibited the most significant impact on yield improvement and nitrogen utilization. Considering various factors, such as grain yield, dry matter transfer, water and nitrogen utilization, and economic benefits, the 60%FC drip irrigation method is deemed the optimal choice for winter wheat in the Huang–Huai–Hai Plain [29].

5. Conclusions

This study highlights the importance of winter wheat cultivation in subsoiled fields, particularly emphasizing the role of irrigation methods and regimes. Drip irrigation, especially with mild water deficit (60%FC), enhances root growth, nutrient uptake, and post-flowering dry matter accumulation, resulting in higher grain yield and water productivity compared to surface irrigation and micro-sprinkler irrigation. Efficient nitrogen management alongside drip irrigation further boosts nitrogen utilization efficiency and crop yields. Considering economic factors, adopting drip irrigation with mild water deficit emerges as the optimal approach for maximizing winter wheat production in the North China Plain, offering improved resource utilization and economic returns.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/agronomy14040858/s1, Table S1: Main technical parameters of planter. Table S2: Main technical parameters of harvester. Table S3: Main technical parameters of subsoler.

Author Contributions

X.L. conducted investigations, curated data, performed formal analyses, and created visualizations. C.H. contributed to investigations, performed formal analyses, and drafted the original manuscript. H.C. participated in investigations. Y.G. contributed to methodology and acquisition of funding. S.M. conceptualized the study, contributed to methodology, curated data, and conducted formal analyses. A.Q. provided guidance and reviewed the manuscript. Y.Z., Z.G., Y.S. and J.S. participated in investigations. Z.L. conceptualized the study, edited the manuscript, supervised the project, and acquired funding. All authors have read and agreed to the published version of the manuscript.

Funding

This research was jointly supported by the Science and Technology Fundamental Resources Investigation Program (2022FY101600), the Agricultural Science and Technology Innovation Program (ASTIP), the National Natural Science Foundation of China (32101856), the Central Public-interest Scientific Institution Basal Research Fund (FIRI2022-22), and the Henan Province 2022 Water Conservancy Science and Technology Project (GG202247).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

DI, drip irrigation; MS, micro-sprinkler irrigation; LAI, leaf area index; Ci, intercellular CO2 concentration (μmol·s−1); Gs, stomatal conductance (mol·m−2·s−1); Pn, net photosynthetic rate (μmol·m−2·s−1); Tr, transpiration rate (mmol·m−2·s−1); BAF, biomass accumulation after flowering (kg·ha−1); BTA, biomass transfer amount (kg·ha−1); BTR, biomass transfer rate (%); GCR, contribution rate of transferred biomass to grain (%); NA, nitrogen accumulation (kg·ha−1); NUE, nitrogen use efficiency (%); NHI, nitrogen harvest index (%).

References

  1. Keller, T.; Sandin, M.; Colombi, T.; Horn, R.; Or, D. Historical increase in agricultural machinery weights enhanced soil stress levels and adversely affected soil functioning. Soil. Tillage Res. 2019, 194, 104293. [Google Scholar] [CrossRef]
  2. Sun, Q.; Sun, W.; Zhao, Z.X.; Jiang, W.; Zhang, P.Y.; Sun, X.F.; Xue, Q.W. Soil Compaction and Maize Root Distribution under Subsoiling Tillage in a Wheat–Maize Double Cropping System. Agronomy 2023, 13, 394. [Google Scholar] [CrossRef]
  3. Liu, X.W.; Zhang, X.Y.; Chen, S.Y.; Sun, H.Y.; Shao, L.W. Subsoil compaction and irrigation regimes affect the root-shoot relationship and grain yield of winter wheat. Agric. Water Manag. 2015, 154, 59–67. [Google Scholar] [CrossRef]
  4. Zhang, X.Y.; Shao, L.W.; Sun, H.Y.; Chen, S.Y.; Wang, Y.Z. Incorporation of Soil Bulk Density in Simulating Root Distribution of Winter Wheat and Maize in Two Contrasting Soils. Soil. Sci. Soc. Am. J. 2012, 76, 638–647. [Google Scholar] [CrossRef]
  5. Boomsma, C.R.; Santini, J.B.; West, T.D.; Brewer, J.C.; McIntyre, L.M.; Vyn, T.J. Maize grain yield responses to plant height variability resulting from crop rotation and tillage system in a long-term experiment. Soil. Tillage Res. 2010, 106, 227–240. [Google Scholar] [CrossRef]
  6. Tolon-Becerra, A.; Tourn, M.; Botta, G.F.; Lastra-Bravo, X. Effects of different tillage regimes on soil compaction, maize (L.) seedling emergence and yields in the eastern Argentinean Pampas region. Soil. Tillage Res. 2011, 117, 184–190. [Google Scholar] [CrossRef]
  7. Nele, V.; Victoria, N.; Niels, J.; Heleen, H.; Ken, D.S.; Dirk, R.; Seppe, D.; Bram, G. Soil water content, maize yield and its stability as affected by tillage and crop residue management in rainfed semi-aridhighlands. Plant Soil. 2011, 344, 73–85. [Google Scholar] [CrossRef]
  8. Jennings, T.N.; Smith, J.E.; Cromack, K.; Sulzman, E.W.; McKay, D.; Caldwell, B.A.; Beldin, S.I. Impact of postfire logging on soil bacterial and fungal communities and soil biogeochemistry in a mixed-conifer forest in central Oregon. Plant Soil. 2012, 350, 393–411. [Google Scholar] [CrossRef]
  9. Massa, D.; Magán, J.J.; Montesano, F.F.; Tzortzakis, N. Review Minimizing water and nutrient losses from soilless cropping in southern Europe. Agric. Water Manag. 2020, 241, 106395. [Google Scholar] [CrossRef]
  10. Tian, X.M.; Fan, H.; Wang, J.Q.; Ippolito, J.; Li, Y.B.; Feng, S.S.; An, M.J.; Zhang, F.H.; Wang, K.Y. Effect of polymer materials on soil structure and organic carbon under drip irrigation. Geoderma 2019, 340, 94–103. [Google Scholar] [CrossRef]
  11. Jha, S.K.; Ramatshaba, T.S.; Wang, G.S.; Liang, Y.P.; Liu, H.; Gao, Y.; Duan, A. Response of growth, yield and water use efficiency of winter wheat to different irrigation methods and scheduling in North China Plain. Agric. Water Manag. 2019, 217, 292–302. [Google Scholar] [CrossRef]
  12. Li, J.P.; Xu, X.X.; Lin, G.; Wang, Y.Q.; Liu, Y.; Zhang, M.; Zhou, J.Y.; Wang, Z.M.; Zhang, Y.H. Micro-irrigation improves grain yield and resource use efficiency by co-locating the roots and N-fertilizer distribution of winter wheat in the North China Plain. Sci. Total Environ. 2018, 643, 367–377. [Google Scholar] [CrossRef]
  13. Fang, Q.; Zhang, X.Y.; Shao, L.W.; Chen, S.Y.; Sun, H.Y. Assessing the performance of different irrigation systems on winter wheat under limited water supply. Agric. Water Manag. 2018, 196, 133–143. [Google Scholar] [CrossRef]
  14. Cao, Y.X.; Cai, H.J.; Sun, S.K. Effects of growth-stage-based limited irrigation management on the growth, yields, and radiation utilization efficiency of winter wheat in northwest China. J. Sci. Food Agric. 2021, 101, 5819–5826. [Google Scholar] [CrossRef]
  15. Li, J.P.; Wang, Z.M.; Yao, C.S.; Zhang, Z.; Liu, Y.; Zhang, Y.H. Micro-sprinkling irrigation simultaneously improves grain yield and protein concentration of winter wheat in the North China Plain. Crop J. 2021, 9, 1397–1407. [Google Scholar] [CrossRef]
  16. Yan, S.C.; Wu, Y.; Fan, J.L.; Zhang, F.C.; Guo, J.J.; Zheng, J.; Wu, L.F. Quantifying grain yield, protein, nutrient uptake and utilization of winter wheat under various drip fertigation regimes. Agric. Water Manag. 2022, 261, 107380. [Google Scholar] [CrossRef]
  17. Hao, T.J.; Zhu, Z.X.; Zhang, Y.L.; Liu, S.; Xu, Y.F.; Xu, X.X.; Zhao, C.X. Effects of Drip Irrigation and Fertilization Frequency on Yield, Water and Nitrogen Use Efficiency of Medium and Strong Gluten Wheat in the Huang-Huai-Hai Plain of China. Agronomy 2023, 13, 1564. [Google Scholar] [CrossRef]
  18. Bai, S.S.; Wan, S.Q.; Kang, Y.H. Winter wheat growth and water use under different micro-sprinkling irrigation regimes in the North China Plain. Paddy Water Environ. 2020, 18, 561–571. [Google Scholar] [CrossRef]
  19. Zhang, J.M.; Wu, J.C.; Yang, Y.H.; Pan, X.Y.; Wang, Y.; He, F. Effect of different irrigation technology on yield and water use efficiency of wheat. Water Sav. Irrig. 2016, 30–32, 37. [Google Scholar]
  20. Lv, H.F.; Lin, S.; Wang, Y.F.; Lian, X.J.; Zhao, Y.M.; Li, Y.J.; Du, J.Y.; Wang, Z.X.; Wang, J.G.; Butterbach-Bahl, K. Drip fertigation significantly reduces nitrogen leaching in solar green house vegetable production system. Environ. Pollut. 2019, 245, 694–701. [Google Scholar] [CrossRef]
  21. Amirahmadi, E.; Ghorbani, M.; Moudrý, J.; Bernas, J.; Mukosha, C.E.; Hoang, T.N. Environmental Assessment of Dryland and Irrigated Winter Wheat Cultivation under Compost Fertilization Strategies. Plants 2024, 13, 509. [Google Scholar] [CrossRef]
  22. Li, H.R.; Mei, X.R.; Wang, J.D.; Huang, F.; Hao, W.P.; Li, B.G. Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China. Agric. Water Manag. 2021, 244, 106534. [Google Scholar] [CrossRef]
  23. Sharmasarkar, C.F.; Sharmasarkar, S.; Miller, S.D.; Vance, G.F.; Zhang, R. Assessment of drip and flood irrigation on water and fertilizer use efficiencies for sugarbeets. Agric. Water Manag. 2001, 46, 241–251. [Google Scholar] [CrossRef]
  24. Dehghanisanij, H.; Kouhi, N. Effects of Nitrogen and Drip Irrigation Rates on Root Development of Corn (Zea mays L.) and Residual Soil Moisture. Gesunde Pflanz. 2020, 72, 335–349. [Google Scholar] [CrossRef]
  25. GB/T17296-2009; China Soil Classification and Code. National Standards of China (NSC): Beijing, China, 2009.
  26. Fan, Y.L.; Ma, Y.Z.; Zaman, A.M.; Zhang, M.M.; Li, Q. Delayed irrigation at the jointing stage increased the post-flowering dry matter accumulation and water productivity of winter wheat under wide-precision planting pattern. J. Sci. Food Agric. 2023, 103, 1925–1934. [Google Scholar] [CrossRef]
  27. Garcia-Servin, M.; Contreras-Medina, L.M.; Torres-Pacheco, I.; Guevara-González, R.G. Estimation of Nitrogen Status in Plants. Nitrate Handb. 2022, 1, 163–181. [Google Scholar] [CrossRef]
  28. Qi, D.; Pan, C. Responses of shoot biomass accumulation, distribution, and nitrogen use efficiency of maize to nitrogen application rates under waterlogging. Agric. Water Manag. 2022, 261, 107352. [Google Scholar] [CrossRef]
  29. Liu, X.; Liu, J.; Huang, C.; Liu, H.; Meng, Y.; Chen, H.; Ma, S.; Liu, Z. The impacts of irrigation methods and regimes on the water and nitrogen utilization efficiency in subsoiling wheat fields. Agric. Water Manag. 2024, 295, 108765. [Google Scholar] [CrossRef]
  30. Chilundo, M.; Joel, A.; Wesstrom, I.; Brito, R.; Messing, I. Response of maize root growth to irrigation and nitrogen management strategies in semi-arid loamy sandy soil. Field Crop Res. 2017, 200, 143–162. [Google Scholar] [CrossRef]
  31. Mahgoub, N.A.; Ibrahim, A.M.; Ali, O.M. Effect of different irrigation systems on root growth of maize and cowpea plants in sandy soil. Eurasian Soil. Sci. 2017, 6, 374–379. [Google Scholar] [CrossRef]
  32. Firouzabadi, A.G.; Baghani, J.; Jovzi, M.; Albaji, M. Effects of wheat row spacing layout and drip tape spacing on yield and water productivity in sandy clay loam soil in a semi-arid region. Agric. Water Manag. 2021, 251, 106868. [Google Scholar] [CrossRef]
  33. Kaur, T.; Sharma, P.K.; Brar, A.S.; Vashisht, B.B.; Choudhary, A.K. Optimizing crop water productivity and delineating root architecture and water balance in cotton–wheat cropping system through sub-surface drip irrigation and foliar fertilization strategy in an alluvial soil. Field Crop Res. 2024, 309, 109337. [Google Scholar] [CrossRef]
  34. Stone, P.J.; Wilson, D.R.; Jamieson, P.D.; Gillespie, R.N. Water deficit effects on sweet corn. II. Canopy development. Aust. J. Agric. Res. 2001, 52, 115–126. [Google Scholar] [CrossRef]
  35. Li, H.Q.; Zhang, M.Z.; Xiao, N.; Yang, H.J. Different Deficit Irrigation Lower Limits and Irrigation Quotas Affect the Yield and Water Use Efficiency of Winter Wheat by Regulating Photosynthetic Characteristics. Phyton Int. J. Exp. Bot. 2023, 92, 3211–3236. [Google Scholar] [CrossRef]
  36. Lawlor, D.W.; Cornic, G. Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. Plant Cell Environ. 2002, 25, 275–294. [Google Scholar] [CrossRef] [PubMed]
  37. Lang, Y.; Wang, M.; Zhang, G.C.; Zhao, Q.K. Experimental and simulated light responses of photosynthesis in leaves of three tree species under different soil water conditions. Photosynthetica 2013, 51, 370–378. [Google Scholar] [CrossRef]
  38. Yang, J.C.; Zhang, J.H.; Huang, Z.L.; Zhu, Q.S.; Wang, L. Remobilization of carbon reserves is improved by controlled soil-drying during grain filling of wheat. Crop Sci. 2000, 40, 1645–1655. [Google Scholar] [CrossRef]
  39. Wu, Y.L.; Guo, Q.F.; Luo, Y.; Tian, F.X.; Wang, W. Differences in physiological characteristics between two wheat cultivars exposed to field water deficit conditions. Russ. J. Plant Physl. 2014, 61, 451–459. [Google Scholar] [CrossRef]
  40. Zong, Y.Z.; Shangguan, Z.P. Nitrogen Deficiency Limited the Improvement of Photosynthesis in Maize by Elevated CO2 under Drought. J. Integr. Agric. 2014, 13, 73–81. [Google Scholar] [CrossRef]
  41. Perdomo, J.A.; Capó-Bauçà, S.; Carmo-Silva, E.; Galmés, J. Rubisco and Rubisco Activase Play an Important Role in the Biochemical Limitations of Photosynthesis in Rice, Wheat, and Maize under High Temperature and Water Deficit. Front. Plant Sci. 2017, 8, 490. [Google Scholar] [CrossRef]
  42. Zhang, X.; Pu, P.; Tang, Y.; Zhang, L.X.; Lv, J.Y. C4 photosynthetic enzymes play a key role in wheat spike bracts primary carbon metabolism response under water deficit. Plant Physiol. Bioch. 2019, 142, 163–172. [Google Scholar] [CrossRef] [PubMed]
  43. Zhu, D.; Zhu, G.R.; Zhang, Z.; Wang, Z.M.; Yan, X.; Yan, Y.M. Effects of Independent and Combined Water-Deficit and High-Nitrogen Treatments on Flag Leaf Proteomes during Wheat Grain Development. Int. J. Mol. Sci. 2020, 21, 2098. [Google Scholar] [CrossRef] [PubMed]
  44. Guo, X.L.; Zhao, Q.; Li, J.Y.; Wang, Z.M.; Zhang, Y.H.; Xue, X.Z. Daily drip irrigation based on real-time weather improves winter wheat grain yield and water use efficiency. Irrig. Drain. 2022, 71, 589–603. [Google Scholar] [CrossRef]
  45. Luo, F.; Deng, X.; Liu, Y.; Yan, Y.M. Identification of phosphorylation proteins in response to water deficit during wheat flag leaf and grain development. Bot. Stud. 2018, 59, 28. [Google Scholar] [CrossRef] [PubMed]
  46. Reddy, A.R.; Chaitanya, K.V.; Vivekanandan, M. Drought-induced responses of photosynthesis and antioxidant metabolism in higher plants. J. Plant Physiol. 2004, 161, 1189–1202. [Google Scholar] [CrossRef] [PubMed]
  47. Ding, J.F.; Zi, Y.; Li, C.Y.; Peng, Y.X.; Zhu, X.K.; Guo, W.S. Dry Matter Accumulation, Partitioning, and Remobilization in High-Yielding Wheat under Rice-Wheat Rotation in China. Agron. J. 2016, 108, 604–614. [Google Scholar] [CrossRef]
  48. Masoni, A.; Ercoli, L.; Mariotti, M.; Arduini, I. Post-anthesis accumulation and remobilization of dry matter, nitrogen and phosphorus in durum wheat as affected by soil type. Eur. J. Agron. 2007, 26, 179–186. [Google Scholar] [CrossRef]
  49. Yang, J.C.; Zhang, J.H. Grain filling of cereals under soil drying. New Phytol. 2006, 169, 223–236. [Google Scholar] [CrossRef]
  50. Koutroubas, S.D.; Fotiadis, S.; Damalas, C.A. Biomass and nitrogen accumulation and translocation in spelt (Triticum spelta) grown in a Mediterranean area. Field Crop Res. 2012, 127, 1–8. [Google Scholar] [CrossRef]
  51. Yan, S.C.; Wu, Y.; Fan, J.L.; Zhang, F.C.; Guo, J.J.; Zheng, J.; Wu, L.F. Optimization of drip irrigation and fertilization regimes to enhance winter wheat grain yield by improving post-anthesis dry matter accumulation and translocation in northwest China. Agric. Water Manag. 2022, 271, 107782. [Google Scholar] [CrossRef]
  52. Fang, Y.; Liang, L.Y.; Liu, S.; Xu, B.C.; Siddique, K.H.; Palta, J.A.; Chen, Y.L. Wheat cultivars with small root length density in the topsoil increased post-anthesis water use and grain yield in the semi-arid region on the Loess Plateau. Eur. J. Agron. 2021, 124, 126243. [Google Scholar] [CrossRef]
  53. Wu, X.; Zhang, W.J.; Liu, W.; Zuo, Q.; Shi, J.C.; Yan, X.D.; Zhang, H.F.; Xue, X.Z.; Wang, L.C.; Zhang, M.; et al. Root-weighted soil water status for plant water deficit index based irrigation scheduling. Agric. Water Manag. 2017, 189, 137–147. [Google Scholar] [CrossRef]
  54. Ma, S.T.; Meng, Y.; Han, Q.S.; Ma, S.C. Drip fertilization improve water and nitrogen use efficiency by optimizing root and shoot traits of winter wheat. Front. Plant Sci. 2023, 14, 1201966. [Google Scholar] [CrossRef] [PubMed]
  55. Lu, J.S.; Geng, C.M.; Cui, X.L.; Li, M.Y.; Chen, S.H.; Hu, T.T. Response of drip fertigated wheat-maize rotation system on grain yield, water productivity and economic benefits using different water and nitrogen amounts. Agric. Water Manag. 2021, 258, 107220. [Google Scholar] [CrossRef]
  56. Lv, G.H.; Kang, Y.H.; Li, L.; Wan, S.Q. Effect of irrigation methods on root development and profile soil water uptake in winter wheat. Irr. Sci. 2010, 28, 387–398. [Google Scholar] [CrossRef]
  57. Ehdaie, B.; Merhaunt, D.J.; Ahmadian, S. Root system size influences water-nutrient uptake and nitrate leaching potential in wheat. J. Agron. Crop Sci. 2010, 196, 455–466. [Google Scholar] [CrossRef]
  58. Surendran, U.; Madhava, C.K. Development and evaluation of drip irrigation and fertigation scheduling to improve water productivity and sustainable crop production using HYDRUS. Agric. Water Manag. 2022, 269, 107668. [Google Scholar] [CrossRef]
  59. Mehmood, F.; Wang, G.S.; Abubakar, S.A.; Zain, M.; Rahman, S.U.; Gao, Y.; Duan, A.W. Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain. Agric. Water Manag. 2023, 290, 108599. [Google Scholar] [CrossRef]
Figure 1. LAI (A) and SPAD (B) value of winter wheat during 2020–2022. (Note: different letters represent significant differences at the 0.05 level within the same growth stage. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Figure 1. LAI (A) and SPAD (B) value of winter wheat during 2020–2022. (Note: different letters represent significant differences at the 0.05 level within the same growth stage. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Agronomy 14 00858 g001
Figure 2. Root length density (A), root diameter (B), root volume density (C), and root dry weight density (D) of winter wheat during the 2021–2022 seasons. (Note: different letters indicate significant differences at the 0.05 level between different treatments at the same soil depth. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Figure 2. Root length density (A), root diameter (B), root volume density (C), and root dry weight density (D) of winter wheat during the 2021–2022 seasons. (Note: different letters indicate significant differences at the 0.05 level between different treatments at the same soil depth. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Agronomy 14 00858 g002
Figure 3. Stomatal conductance (Gs, mol·m−2·s−1) (A), intercellular CO2 concentration (Ci, μmol·s−1) (B), net photosynthetic rate (Pn, μmol·m−2·s−1) (C), and transpiration rate (Tr, mmol·m−2·s−1) (D) of winter wheat during the 2020–2022 seasons. (Note: when different letters appear alongside data points on the same date, it signifies notable variances at the 0.05 significance level. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Figure 3. Stomatal conductance (Gs, mol·m−2·s−1) (A), intercellular CO2 concentration (Ci, μmol·s−1) (B), net photosynthetic rate (Pn, μmol·m−2·s−1) (C), and transpiration rate (Tr, mmol·m−2·s−1) (D) of winter wheat during the 2020–2022 seasons. (Note: when different letters appear alongside data points on the same date, it signifies notable variances at the 0.05 significance level. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Agronomy 14 00858 g003
Figure 4. Nitrogen accumulation (NA, kg·ha−1) (A), nitrogen use efficiency (NUE, %) (B), and nitrogen harvest index (NHI, %) (C) of winter wheat under different irrigation methods and regime treatments during the 2020–2021 seasons. (Note: different letters indicate significant differences at the 0.05 level. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Figure 4. Nitrogen accumulation (NA, kg·ha−1) (A), nitrogen use efficiency (NUE, %) (B), and nitrogen harvest index (NHI, %) (C) of winter wheat under different irrigation methods and regime treatments during the 2020–2021 seasons. (Note: different letters indicate significant differences at the 0.05 level. Error bars based on standard error (SE) were added to the data. Each data point was extended vertically by one standard error above and below the mean value).
Agronomy 14 00858 g004
Figure 5. The TOPSIS scores for irrigation methods and regime treatments in the years 2020–2021 and 2021–2022 (A,B) along with the normalized values of all indicators for the same periods (C,D).
Figure 5. The TOPSIS scores for irrigation methods and regime treatments in the years 2020–2021 and 2021–2022 (A,B) along with the normalized values of all indicators for the same periods (C,D).
Agronomy 14 00858 g005
Table 1. The fundamental soil parameters within the 0–40 cm soil layer of the experimental field for winter wheat.
Table 1. The fundamental soil parameters within the 0–40 cm soil layer of the experimental field for winter wheat.
LocationSoil TextureSoil Dry Bulk DensitySoil Field CapacityOrganic MatterTotal NitrogenAvailable PhosphorusAvailable Potassium
/g·cm−3/cm3·cm−3/g·kg−1/g·kg−1/mg·kg−1/mg·kg−1
XinxiangSilt loam soil1.510.3116.11.0523.4229.5
Table 2. Meteorological parameters for each month of two winter wheat growing seasons.
Table 2. Meteorological parameters for each month of two winter wheat growing seasons.
YearMonthAir HumidityTotal RadiationPrecipitationTmaxTmin
/%/W·m−2/mm/°C/°C
2020–2021October76.44 1914.19 20.70 20.32 9.33
November79.16 2389.85 70.50 14.36 6.03
December22.90 2439.16 4.00 2.60 0.00
January55.74 2999.73 0.00 7.88 −2.90
February68.44 3398.56 54.10 13.69 1.87
March80.24 4014.15 14.40 15.45 7.22
April74.35 5542.67 29.60 20.27 10.11
May66.12 7463.01 12.10 28.09 15.44
June66.66 591.73 0.00 31.68 20.35
2021–2022October78.49 220.55 0.00 22.90 10.40
November66.70 3700.98 18.90 16.00 5.02
December42.51 3486.86 3.70 2.49 0.00
January88.30 1894.89 12.60 4.81 −1.51
February69.81 3353.59 0.00 8.25 −1.71
March75.55 4124.46 10.80 15.94 6.25
April71.40 5677.78 9.10 23.04 10.91
May64.59 7508.74 35.40 27.31 14.85
June29.41 290.61 0.00 0.07 34.68
Note: Tmax represents the average monthly maximum temperature, while Tmin represents the average monthly minimum temperature.
Table 3. Irrigation experiment design of winter wheat.
Table 3. Irrigation experiment design of winter wheat.
Irrigation MethodTreatmentLower Limit of Soil Moisture ControlIrrigating Quota
/%FC/mm
Border irrigationCK7090
Drip irrigationDI-H7030
DI-M6030
DI-L5030
Micro-sprinkler irrigationMS-H7045
MS-M6045
MS-L5045
Note: The values in the table are the lower limit index of soil moisture control, which is the percentage of soil water in field capacity.
Table 4. Irrigation amounts for two growing seasons of winter wheat under various irrigation methods and regimes.
Table 4. Irrigation amounts for two growing seasons of winter wheat under various irrigation methods and regimes.
YearIrrigation DateIrrigation Amount/mm
CKDI-HDI-MDI-LMS-HMS-MMS-L
2020–2021November0303030454545
December90000000
March90603030904545
April03030045450
May903030045450
Total2701501206022518090
2021–2022December90303030454545
February90303030000
March903000904545
April0603030454545
May903030045450
Total36018012090225180135
Table 5. Stem biomass (kg·ha−1), leaf biomass (kg·ha−1), glume biomass (kg·ha−1), grain yield (kg·ha−1), and total biomass (kg·ha−1) of winter wheat during the 2020–2022 seasons.
Table 5. Stem biomass (kg·ha−1), leaf biomass (kg·ha−1), glume biomass (kg·ha−1), grain yield (kg·ha−1), and total biomass (kg·ha−1) of winter wheat during the 2020–2022 seasons.
YearTreatmentFlowering StageMaturity Stage
StemLeafGlumeTotal BiomassStemLeafGlumeGrainTotal Biomass
2020–2021CK8352 ± 192 b2349 ± 49 b2572 ± 59 a13,273 ± 105 b6267 ± 70 b1208 ± 14 c3972 ± 45 a9896 ± 111 cd21,344 ± 240 a
DI-H8156 ± 303 bc2406 ± 84 b2623 ± 141 a13,185 ± 187 b6243 ± 481 b1325 ± 102 bc3073 ± 237 b12,786 ± 985 a23,426 ± 1805 a
DI-M7523 ± 726 cd2678 ± 157 a2573 ± 205 a12,773 ± 508 b5981 ± 173 bc1522 ± 45 a723 ± 21 e12,901 ± 374 a21,127 ± 613 a
DI-L6745 ± 65 e2065 ± 212 cd2219 ± 151 b11,029 ± 212 c4936 ± 255 d1236 ± 64 bc1279 ± 66 d9400 ± 486 d16,852 ± 871 b
MS-H10,456 ± 576 a2356 ± 82 b2495 ± 26 a15,307 ± 479 a8353 ± 751 a941 ± 85 d2518 ± 226 c11,947 ± 1074 ab23,759 ± 2135 a
MS-M8337 ± 283 b2193 ± 93 bc2547 ± 151 a13,078 ± 251 b6279 ± 183 b1370 ± 40 b2623 ± 76 c11,008 ± 321 bc21,280 ± 619 a
MS-L6855 ± 417 de1885 ± 82 d2128 ± 164 b10,869 ± 555 c5393 ± 666 cd1006 ± 124 d1271 ± 157 d8975 ± 1109 d16,645 ± 2058 b
2021–2022CK6102 ± 335 bc1525 ± 85 c2766 ± 384 bc10,393 ± 785 bc5693 ± 87 d1026 ± 16 cd1906 ± 29 b9735 ± 148 d18,360 ± 279 c
DI-H6981 ± 803 ab1569 ± 161 bc2811 ± 270 bc11,361 ± 1198 ab6456 ± 320 ab1159 ± 57 b1489 ± 74 c12,140 ± 601 ab21,243 ± 1052 a
DI-M7928 ± 1195 a1609 ± 228 bc3475 ± 541 a13,012 ± 1962 a6692 ± 170 a1066 ± 27 c569 ± 15 f12,373 ± 315 a20,700 ± 528 ab
DI-L5255 ± 521 c1379 ± 79 c2292 ± 391 c8926 ± 948 c4482 ± 97 f894 ± 19 e454 ± 10 g8264 ± 179 e14,094 ± 306 d
MS-H6439 ± 523 bc1813 ± 144 ab2927 ± 275 abc11,179 ± 915 ab6188 ± 258 bc1287 ± 54 a2651 ± 111 a10,788 ± 451 c20,915 ± 874 ab
MS-M7077 ± 201 ab1913 ± 125 a3031 ± 215 ab12,021 ± 493 ab6069 ± 263 c1168 ± 51 b819 ± 35 e11,662 ± 506 b19,718 ± 855 b
MS-L6253 ± 399 bc1466 ± 79 c2578 ± 230 bc10,296 ± 705 bc5084 ± 132 e959 ± 25 de1371 ± 36 d9945 ± 258 d17,360 ± 450 c
Note: different letters within the same column indicate significant differences at the 0.05 level among treatments within the same year.
Table 6. Stem (%), leaf (%), and glume (%) biomass distribution proportion and the harvest index (%) of winter wheat during the 2020–2022 seasons.
Table 6. Stem (%), leaf (%), and glume (%) biomass distribution proportion and the harvest index (%) of winter wheat during the 2020–2022 seasons.
YearTreatmentFlowering StageMaturity Stage
StemLeafGlumeStemLeafGlumeHarvest Index
2020–2021CK62.9 ± 1.0 b17.7 ± 0.5 b19.4 ± 0.6 a29.4 ± 0.5 b5.7 ± 0.2 b18.6 ± 0.9 a46.4 ± 0.7 f
DI-H61.8 ± 1.6 bc18.2 ± 0.9 b19.9 ± 1.1 a28.0 ± 2.9 b5.9 ± 0.3 b13.8 ± 2.2 ab57.3 ± 0.1 b
DI-M58.8 ± 3.8 c21.0 ± 1.7 a20.2 ± 2.2 a28.3 ± 1.6 b7.2 ± 0.6 a3.4 ± 0.4 c61.1 ± 3.4 a
DI-L61.2 ± 1.4 bc18.7 ± 1.7 b20.1 ± 1.2 a29.3 ± 1.0 b7.4 ± 0.4 a7.6 ± 5.5 bc55.8 ± 0.8 bc
MS-H68.3 ± 1.7 a15.4 ± 1.0 c16.3 ± 0.6 b35.1 ± 2.1 a3.9 ± 0.7 c10.6 ± 6.4 abc50.3 ± 2.8 e
MS-M63.8 ± 1.3 b16.8 ± 0.4 bc19.5 ± 1.4 a29.5 ± 1.6 b6.4 ± 1.0 ab12.3 ± 3.1 ab51.7 ± 0.4 de
MS-L63.1 ± 1.6 b17.4 ± 0.8 bc19.6 ± 1.0 a32.4 a ± 4.9 b6.0 ± 0.6 b7.6 ± 7.8 bc53.9 ± 0.7 cd
2021–2022CK58.8 ± 1.4 b14.7 ± 0.4 bc26.5 ± 1.7 a31.8 ± 1.2 ab5.6 ± 0.7 a10.4 ± 0.4 b53.0 ± 0.8 b
DI-H61.4 ± 0.9 a13.8 ± 0.9 c24.8 ± 0.3 a32.6 ± 2.4 a5.5 ± 0.7 a7.0 ± 1.7 c57.2 ± 2.9 a
DI-M60.9 ± 0.4 a12.4 ± 0.2 d26.7 ± 0.3 a32.8 ± 0.0 a5.2 ± 1.0 a2.8 ± 0.9 d59.8 ± 1.5 a
DI-L58.9 ± 1.5 b15.5 ± 0.8 ab25.6 ± 2.0 a31.4 ± 1.6 ab6.3 ± 0.6 a3.2 ± 0.2 d58.7 ± 1.3 a
MS-H57.6 ± 0.8 b16.2 ± 0.1 a26.2 ± 0.8 a27.9 ± 3.0 b6.1 ± 0.6 a12.7 ± 0.7 a51.6 ± 2.2 b
MS-M58.9 ± 0.8 b15.9 ± 0.6 a25.2 ± 0.9 a29.2 ± 2.7 ab5.9 ± 0.4 a4.1 ± 1.3 d59.2 ± 2.6 a
MS-L60.8 ± 0.5 a14.3 ± 0.3 c25.0 ± 0.5 a30.2 ± 1.4 ab5.5 ± 0.9 a7.9 ± 1.6 c57.3 ± 1.5 a
Note: different letters within the same column indicate significant differences at the 0.05 level among treatments within the same year.
Table 7. Biomass translocation and its contribution rate of winter wheat during the 2020–2022 seasons.
Table 7. Biomass translocation and its contribution rate of winter wheat during the 2020–2022 seasons.
YearTreatmentBAFBTABTRGCR
/kg·ha−1/kg·ha−1/%/%
2020–2021CK8069 ± 149 a1825 ± 90 d13.8 ± 0.8 d18.4 ± 1.1 e
DI-H9052 ± 1016 a2538 ± 161 cd19.3 ± 1.4 c19.9 ± 1.5 de
DI-M8342 ± 370 a4542 ± 441 a35.6 ± 4.0 a35.2 ± 3.9 ab
DI-L5793 ± 570 b3571 ± 110 b32.4 ± 1.9 ab38.1 ± 2.3 a
MS-H8329 ± 1375 a3512 ± 694 b22.8 ± 3.1 c29.3 ± 4.0 bc
MS-M8190 ± 381 a2801 ± 167 bc21.5 ± 1.9 c25.5 ± 2.3 cd
MS-L6607 ± 1105 b3241 ± 898 bc29.4 ± 5.1 b35.6 ± 6.2 a
2021–2022CK7964 ± 158 b1771 ± 306 cd17.0 ± 2.7 c15.2 ± 2.4 d
DI-H9847 ± 563 a2293 ± 1164 cd19.9 ± 9.4 bc16.7 ± 8.1 cd
DI-M7679 ± 332 bc4694 ± 647 a36.0 ± 4.0 a36.2 ± 4.5 a
DI-L5164 ± 194 d3101 ± 373 b34.7 ± 3.4 a35.5 ± 3.6 ab
MS-H9712 ± 467 a1076 ± 918 d9.4 ± 7.7 c7.9 ± 6.5 d
MS-M7673 ± 521 bc3989 ± 1027 ab33.0 ± 7.0 a31.9 ± 7.3 ab
MS-L7056 ± 267 c2890 ± 525 b28.0 ± 4.4 ab25.5 ± 4.5 bc
Note: different letters within the same column indicate significant differences at the 0.05 level among treatments within the same year.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Huang, C.; Liu, X.; Gao, Y.; Chen, H.; Ma, S.; Qin, A.; Zhang, Y.; Gao, Z.; Song, Y.; Sun, J.; et al. Response of Triticum Vulgare Growth and Nitrogen Allocation to Irrigation Methods and Regimes under Subsoiling Tillage. Agronomy 2024, 14, 858. https://doi.org/10.3390/agronomy14040858

AMA Style

Huang C, Liu X, Gao Y, Chen H, Ma S, Qin A, Zhang Y, Gao Z, Song Y, Sun J, et al. Response of Triticum Vulgare Growth and Nitrogen Allocation to Irrigation Methods and Regimes under Subsoiling Tillage. Agronomy. 2024; 14(4):858. https://doi.org/10.3390/agronomy14040858

Chicago/Turabian Style

Huang, Chao, Xuchen Liu, Yang Gao, Haiqing Chen, Shoutian Ma, Anzhen Qin, Yingying Zhang, Zile Gao, Yan Song, Jinkai Sun, and et al. 2024. "Response of Triticum Vulgare Growth and Nitrogen Allocation to Irrigation Methods and Regimes under Subsoiling Tillage" Agronomy 14, no. 4: 858. https://doi.org/10.3390/agronomy14040858

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop