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Article

Deficit Irrigation-Based Improvement in Growth and Yield of Quinoa in the Northwestern Arid Region in China

Department of Water Conservancy and Hydraulic Engineering, Faculty of Water Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(10), 4136; https://doi.org/10.3390/su16104136
Submission received: 16 March 2024 / Revised: 9 May 2024 / Accepted: 11 May 2024 / Published: 15 May 2024

Abstract

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Given the current global water scarcity issues, which particularly affect arid regions such as northwestern China, it is crucial to find crop planting patterns that result in efficient water resource utilization. Quinoa, as a drought-resistant and highly nutritious crop, has garnered significant attention from agricultural researchers in recent years. From 2019 to 2020, a series of experimental studies were conducted under non-mulching drip irrigation conditions to investigate the growth adaptability and the response to different irrigation levels of quinoa in an arid region in northwestern China. A comparative analysis of quinoa’s dry matter accumulation, yield, thousand-grain weight, harvest index, and water use efficiency under varying irrigation levels revealed that increasing irrigation significantly enhanced quinoa’s dry matter accumulation and yield. By optimizing the irrigation strategies, we found that the water-saving practice of initiating moderate irrigation in the sensitive water-demanding stages (flowering and fruiting) of quinoa increased the yield. The experiment results showed that, in 2020, the optimal irrigation amount was 3675 m3·ha−1 during a 14-day irrigation cycle, meeting quinoa’s growth requirements while improving water resource utilization efficiency. This study not only provides a scientific basis for the efficient cultivation of quinoa in the arid regions of northwestern China, but also offers new insights into and technical support for agricultural water resource management in the region, contributing to the sustainable development of agriculture in arid areas.

1. Introduction

In recent years, extreme weather events, such as high temperatures, heavy rainfall, flooding, and drought, have been occurring frequently worldwide [1,2], causing significant impacts on agricultural production [3]. Drought, in particular, is a major climate disaster in arid regions that severely limits agricultural productivity [4]. Due to water scarcity, efficient water-saving measures have become crucial, and researchers have been focusing on the optimization of irrigation systems for different crops to cope with the lack of water resources [5,6]. Quinoa, a drought-tolerant, cold-resistant, nutrient-rich crop [7,8,9], is considered a preferred solution for food security [10,11], especially in arid regions [12,13]. Its cultivation area and market demand have been expanding globally [14,15,16], attracting research interest in many countries [17,18]. In China, quinoa cultivation originated in Tibet [19,20] and was first successfully grown in high-altitude areas in Shanxi [21]. Currently, research on quinoa is being conducted nationwide, with the goal of making it a staple crop in the future [18,22]. Quinoa is renowned for its strong drought resistance [23,24,25], and traditional cultivation methods rely on natural precipitation, even in arid and semi-arid regions [26]. Scientists have conducted studies on the growth and development of quinoa using deficit irrigation methods [27,28]. Geerts et al. [13,27,28] revealed the potential to significantly increase quinoa yield through deficit irrigation (DI). Additionally, practical experiments carried out by Hirich et al. [8,11] in the arid regions of Chile positively validated the application of DI in quinoa cultivation. Furthermore, given quinoa’s unique growth characteristics and low tolerance to humid conditions, DI not only optimizes the growing environment but also enhances yield and quality by reducing the incidence of downy mildew [12]. A study by Garcia et al. [23] further elaborated this point by carrying out precise analyses of the water requirements of quinoa at different growth stages to significantly improve its water use efficiency (WUE) and ensure adequate water supply during the most sensitive stages while achieving higher yields. In modern agricultural production practices, proper water management and its impact on crop yield and quality cannot be overlooked. In their 2008 research, Geerts et al. [27,28] indicated that when quinoa receives sufficient water supply during its critical growth stages, such as germination, flowering, and grain filling, its water use efficiency is significantly enhanced. This finding reveals that, even if drought occurs during the vegetative growth stage, its impact on the final yield is relatively limited.
Mulei County, as a primary cultivation region for wheat, also serves as a significant base for the introduction of quinoa. The region primarily practices rain-fed agriculture, flood irrigation, and drip irrigation. Therefore, it is crucial to understand the differences in water requirements for quinoa under these various cultivation conditions, as well as how different irrigation systems impact the accumulation of dry matter and the formation of grain yield in quinoa. In this study, we conducted field experiments in Mulei County using different irrigation quotas. The aim of this study was to analyze their effects on the growth characteristics, dry matter accumulation, and yield of quinoa. The overarching goal was to evaluate the cultivation suitability and the water demand and sensitivity of quinoa in the arid northwestern region in China, providing a theoretical basis for food security production in this area.

2. Materials and Methods

2.1. Climatic Conditions

This study was conducted at the Mulei County Experimental Station in Xinjiang (43°52′ N, 90°16′ E; 1191 m a s l) in 2019 and 2020 (Figure 1). The region experiences a temperate continental arid climate characterized by average annual temperatures of 5–6 °C and accumulated temperatures above 10 °C ranging from 2567 to 3100 °C. The annual precipitation in the area is approximately 343.5 mm, with a total sunshine duration of 3013.8 h and a frost-free period lasting 136–157 days [29]. The meteorological data collected by the agricultural automatic weather stations installed at the experimental site reveal that the highest temperature recorded in the period from 1 April to 1 October 2019 was 35.60 °C (on 3 August), the lowest temperature was −1.50 °C (on 9 April), and the average temperature was 18.14 °C. In 2020, the highest temperature recorded was 34.90 °C (on 18 July), the lowest temperature was −1.10 °C (on 1 April), and the average temperature was 18.08 °C. The total rainfall amounts during the growth period were 83.5 mm in 2019 and 131.4 mm in 2020. The topsoil in the experimental area is classified as gray desert soil and consists of clay loam with a thickness of approximately one meter with coarse sandy loam underneath it (Figure 1). Preliminary data on the soil properties, as shown in Table 1, indicate that the organic matter content decreases with soil depth, dropping from 17.48 g·kg−1 in the topsoil to 4.90 g·kg−1 in the deeper layers. Soil pH levels are relatively stable across different layers, and the total salt content also decreases with depth, from 0.65 mg·g−1 in the topsoil to 0.21 mg·g−1 in the deeper layers. Additional data are displayed in Table 1. Additionally, the groundwater is located at a depth of over 30 m.

2.2. Experiments

JL-1 quinoa was used as the trial variety during field trials conducted in 2019 and 2020. Planting was carried out in a 0.67 ha trial area, and a combination of mechanical and manual seeding methods was used. Utilizing drip irrigation without film, the irrigation system was designed as “one pipe with two rows”. with a row spacing of 0.5 m, a drip head flow rate of 1.8 L·h−1, and a drip head spacing of 0.3 m to ensure a uniform water distribution. The drip irrigation tape, crafted from recycled PE material, had a diameter of 16 mm. The quinoa plants were spaced 0.40 and 0.50 m apart. One week before sowing quinoa each year, organic fertilizer treatment was applied, with 1600 kg·ha−1 of composted cow and sheep manure used to increase the soil organic matter content, improve the soil properties, enhance the soil structure, and promote soil permeability and aeration. Over the course of two years, a total of eight treatments were set up under non-membrane drip irrigation conditions. In 2019, there were four treatments: M91, M92, M93, and CK. In 2020, there were also four treatments: M01, M02, M03, and CK. Each treatment had three replicates. All the treatments were sown simultaneously on 24 April, and irrigation trials commenced on 29 June, with a 14-day watering cycle. Water was stopped on 24 August, and harvesting took place on 15 September. Our goal was to determine the irrigation quota based on local water resource conditions and the growth characteristics of quinoa. In 2019, the irrigation quotas for treatments M91, M92, and M93 were 2250 m3·ha−1, 2625 m3·ha−1, and 3000 m3·ha−1, respectively (Table 2 and Figure 2). No irrigation was conducted for 66 days after sowing to demonstrate the quinoa’s drought resistance during the dry season. A control group (CK) was also included and was watered twice during the seedling stage at 150 m3·ha−1, with a final irrigation quota of 3675 m3·ha−1 (Table 2). The 2020 experiment built upon the 2019 study by investigating the impact of different irrigation quotas on quinoa growth. Three different irrigation quotas, M01, M02, and M03, were set at 2550 m3·ha−1, 2925 m3·ha−1, and 3300 m3·ha−1, respectively (Table 2). Unlike in 2019, all treatments received two watering sessions during the seedling stage at 150 m3·ha−1 each. The field trial layout was the same as in 2019 (Figure 2). A control group (CK), with an irrigation quota of 3675 m3·ha−1, was included to determine the most suitable irrigation level for quinoa growth, as shown in Table 2 and Figure 2.

2.3. Data Collection

Calculation of reference crop evapotranspiration [30]: the reference crop evapotranspiration (ET0) in the experimental area was calculated using the Penman–Monteith formula as follows:
E T 0 = 0.408 ( R n G ) + γ 900 T + 273 U 2 ( e a e d ) + γ ( 1 + 0.34 U 2 )
where
E T 0 is the reference crop evapotranspiration (mm·day−1);
is the slope of the saturation vapor pressure curve (kPa·°C−1);
R n is the radiation (MJ·m−2·day−1);
G is the soil heat flux density (MJ·m−2·day−1);
T is the mean daily air temperature (°C);
U 2 is the wind speed at a 2 m height (m·s−1);
e a is the saturation vapor pressure (kPa);
e d is the actual vapor pressure (kPa);
γ is the psychrometric constant (kPa·°C−1).
Crop water consumption in each growth stage: this is usually calculated based on the principle of water balance in actual production [31]. It is expressed as shown in Equation (2):
E T c 1 2 = 10 i = 1 n γ i H i ( W i 1 W i 2 ) + M + P + K + C
where
ETc1−2 is the evapotranspiration during the stage (mm·day−1);
n is the total number of soil layers;
γ i is the bulk density of the ith soil layer (g·cm−3);
H i is the thickness of the ith soil layer (cm);
W i 1 is the moisture content at the beginning of the period in the ith soil layer (percentage of dry soil weight);
W i 2 is the moisture content at the end of the period in the ith soil layer (percentage of dry soil weight);
M is the irrigation amount during the period (mm);
P is the precipitation amount during the period (mm);
K is the groundwater recharge amount during the period (mm);
C is the drainage amount during the period (sum of surface- and lower-layer drainage; mm).
Due to the groundwater level being below 30 m in the experimental area, groundwater recharge was not considered ( K = 0). Based on observations of quinoa root distribution, over 90% of the roots were within a soil depth of 40 cm. In this study, when analyzing soil moisture throughout the entire growth period of quinoa, we assumed a constant planned wetting depth of 80 cm. As all the irrigation water was assumed to infiltrate into the soil without deep percolation for micro-irrigation, C was not considered.
Crop coefficient: the crop coefficient, denoted by Kc, refers to the ratio of actual water consumption to reference crop evapotranspiration, as shown in Formula (3):
K c = E T c / E T 0
where
E T 0 is the reference crop evapotranspiration (mm·day−1);
E T c is the crop water consumption in each growth stage (mm·day−1);
K c is related to factors such as crop type, variety, crop population, and leaf area index.
Dry matter: three quinoa plants were sampled in their seedling, branching, bud, flowering, grain-filling, and maturity stages. The leaves, bolting parts, and stems were sampled, dried at 105 °C, oven-dried at 80 °C to constant weight, and weighed, and the average values were calculated. This process yielded the dry matter accumulation per plant, which was converted to dry matter accumulation per unit area. The water use efficiency (WUE) of quinoa crops can be calculated using Formula (4).
WUE = Dry matter accumulation/Water consumption during the growth stage
Yield collection method: during the maturity stage, 9 plants were sampled for each treatment to analyze the average weight of a thousand grains. Subsequently, the yield per plant for each treatment was converted to yield per unit area. The harvest index (HI) of quinoa can be calculated using Formula (5), and the seed grain water efficiency (GWUE) can be calculated using Formula (6).
HI = Yield/Dry matter accumulation (excluding roots)
GWUE = Yield/Water consumption during the growth stage

2.4. Data Processing and Analysis

In this study, we meticulously organized meteorological data, quinoa yield-related data, and dry matter accumulation using WPS Office 12.1.0 software and calculated important parameters such as reference crop evapotranspiration, quinoa water consumption, crop coefficients, and water use efficiency. Additionally, we conducted Duncan’s variance analysis on quinoa data under different treatment conditions using SPSS 19.0 software. We also employed Pearson correlation coefficient analysis to examine the relationship between quinoa water consumption, yield-related factors, and growth indicators.

3. Results

3.1. Reference Crop Evapotranspiration (ET0)

After having meticulously organized and analyzed the meteorological parameters such as maximum temperature (T max), minimum temperature (T min), rainfall, radiation (Rn), and wind speed (WS) collected by automatic weather stations during the two growing seasons of 2019 and 2020 (Figure 3), we calculated the reference crop evapotranspiration (ET0), as shown in Figure 3. Through this analysis, we observed that during the entire growth period of quinoa in 2019, evaporation generally exceeded precipitation. Specifically, the cumulative precipitation for that growing season was only 83.5 mm, while ET0 was 657.37 mm. In 2020, the data showed an increase in cumulative precipitation during the growth period, reaching 131.4 mm, with a corresponding increase in ET0 to 666.23 mm, a higher figure compared with the previous year. This change could be attributed to variations in climatic conditions and soil moisture content in the experimental area for that year. According to the comparison of the data from these two years, it is evident that, in overcast conditions, an increase in rainfall can increase air humidity, thereby reducing the reference crop evapotranspiration; on the other hand, under clear and hot weather conditions, the transpiration of crops and evaporation from the ground surface are enhanced. Therefore, we infer that, in the same experimental area, whether in the first or second growing season, an increase in rainfall and overcast weather conditions relatively decreases the reference crop evapotranspiration, while under conditions of less rainfall, higher temperatures, and clear weather, the ET0 value increases.

3.2. Changes in Water Consumption during the Growth Stages of Quinoa

The data analysis based on Table 3 indicates that, in 2019, under conditions without initial irrigation, the water consumption of quinoa in various growth stages in a water-deficient environment was significantly lower than that of the conventional irrigation control group. During the seedling stage, water consumption ranged between 22.80 and 52.80 mm with treatments M91, M92, and M93, showing a 57% reduction in water consumption compared with the control group, indicating a significant difference (p < 0.05). This trend of reduced water consumption continued into the branching stage, with a 5% reduction. The reduction in water consumption was even more significant during the visibility stage, with decreases of 25%, 17%, and 9% with M91, M92, and M93, respectively. Similar trends were observed during the flowering and grain-filling stages, with reductions of 27%, 17%, and 8%, and 25%, 17%, and 8%, respectively, compared with the control group, with the first two treatments showing significant differences. In the maturity stage, the reductions in water consumption were 14%, 12%, and 5%, respectively, demonstrating certain water-saving effects. These results indicate that under water-deficient conditions, quinoa effectively reduced water consumption during its growth period and that there were significant differences among different treatments.
The 2020 trial results regarding the characteristics of quinoa’s water consumption in different growth stages were similar to those of 2019, showing the highest water consumption during the grain-filling stage, followed by the flowering, visibility, branching, maturity, and seedling stages. Water consumption during the seedling stage was slightly reduced, but the difference was not significant. The reductions in water consumption during the visibility and flowering stages were more significant, especially during the grain-filling stage, indicating potential water-saving benefits in water management. Although reduced, water consumption in the maturity stage did not show significant differences between some treatment groups and the control group. These data further confirm quinoa’s potential for water saving under water-deficient conditions and its water consumption characteristics in different growth stages.

3.3. Quinoa Crop Coefficient ( K c )

Based on the analysis of the data in Figure 4, we can observe that, under drip irrigation, the crop coefficient of quinoa during its entire growth period exhibited significant stage-specific characteristics, showing an initially increasing trend, with the highest values being found in the central stages, and later decreasing trend. In the early stages of growth, due to the small size of quinoa plants that did not cover the soil extensively, the crop coefficient was relatively low, approximately 0.4 ( K c ini). As the plants entered the rapid growth stage, the increase in leaf area enhanced transpiration, causing the crop coefficient to rise to about 1.10 ( K c mid) during the mid-growth period. As the plants matured, the growth rate slowed, and some leaves started to senesce, leading to a decrease in the crop coefficient, with values of about 0.5 ( K c end) during this period. Finally, during the harvest period, as the crop’s transpiration demand was at its lowest, the crop coefficient dropped to the lowest value during the entire growth period. These changes reflect the differences in the water requirements of quinoa in different growth stages, which is of significant importance for guiding irrigation management.

3.4. Dry Matter in Different Growth Stages of Quinoa

Table 4 shows the impact of different water treatments on dry matter accumulation in quinoa plants under drip irrigation without mulch in the two growing seasons. During the seedling stage, the dry matter accumulation per plant ranged from 0.500 to 0.980 g·plant in 2019 and from 1.009 to 1.040 g·plant in 2020. Variations were observed between 2019 and the control group (CK), with average values of all the treatments in 2019 being 0.627 g·plant and 1.028 g·plant in 2020, indicating a 1.641-fold increase in dry matter accumulation in 2020 compared to 2019. Regarding the branching stage, despite no irrigation being performed in either growing season, watering during the seedling stage in the second growing season led to significantly higher dry matter accumulation than in the first season, with average values of 8.645 g·plant in 2019 and 18.070 g·plant in 2020, showing a 2.09-fold increase. During the bud stage in both seasons, quinoa plants were irrigated with varying amounts of water, resulting in rapid growth and dry matter accumulation ranging from 24.91 to 56.07 g·plant in 2019 and from 56.08 to 70.22 g·plant in 2020, showing significant differences compared with the CK treatment (p < 0.05). In the grain-filling stage, dry matter accumulation per plant ranged from 240.677 to 349.87 g·plant in 2019 and from 275.080 to 384.850 g·plant in 2020, with significant differences compared with the CK treatment (p < 0.05). At maturity, dry matter accumulation per plant ranged from 262.168 to 370.46 g·plant in 2019 and from 285.290 to 400 g·plant in 2020, also showing significant differences compared with the CK treatment (p < 0.05). These results demonstrate the significant impact of different water treatments on dry matter accumulation in quinoa under drip irrigation without mulch, which was especially evident in different growth stages.

3.5. Relationship between Growth Indicators of Quinoa and Water Consumption during Different Growth Stages

During the two growing seasons in 2019 and 2020, the Pearson correlation coefficients between the growth indicators of quinoa under drip irrigation without film and the water consumption throughout the entire growth period indicated a positive correlation relationship, as shown in Table 5. Specifically, in the second growing season, there was a significant positive correlation (0.586, p < 0.05) between the leaf area of quinoa and water consumption during the seedling stage, while a stronger and highly significant positive correlation was observed during the rest of the growth period.
Furthermore, both in the first and second growing seasons, the plant height and stem thickness of quinoa maintained a highly significant positive correlation with water consumption in different growth stages. Dry matter accumulation in stems, roots, and leaves showed a highly significant positive correlation with water consumption from the seedling stage to maturity, and that in stems from the elongation stage to maturity also exhibited a highly significant correlation; the dry matter accumulation per plant similarly showed a consistent highly significant positive correlation trend from the seedling stage to maturity. These data emphasize the importance of effective water resource management in quinoa production.

3.6. Changes in the Factors Affecting Quinoa Yield under Different Irrigation Levels

As shown in Table 6, in the two growing seasons, the yield composition factors of quinoa under drip irrigation without film were significantly affected by the amount of water. With the increase in water volume, the yield of quinoa also increased. In 2019, the yields of various treatment groups ranged from 994.859 to 1436.128 kg·ha−1. Compared with the control group (CK), the yields of treatment groups M91, M92, and M93 decreased by 31%, 25%, and 7%, respectively. The differences between the first two treatments and CK were significant (p < 0.05). The individual plant yield ranged from 49.718 to 71.771 g, showing a similar trend to the overall yield. The changes in thousand-grain weight ranged from 1.945 g to 2.270 g. Although the same seed variety was used for the different treatments, the amount of water during the reproductive growth stage determined the plumpness of the quinoa grains. The CK treatment resulted in the greatest grain plumpness, with treatments M91, M92, and M93 decreasing the thousand-grain weight by 14%, 6%, and 5% compared with CK, with a significant difference between M91 and CK. Quinoa showed different water use efficiencies under different treatment conditions. The research data indicate that the crop water use efficiency (WUE) ranged from 1.281 kg/m3 to 1.379 kg/m3, with the M93 treatment group showing the highest efficiency. Additionally, the grain water use efficiency (GWUE) ranged from 0.241 kg/m3 to 0.278 kg/m3, with the M93 treatment group also standing out. However, the difference in GWUE between the M93 treatment and the control group (CK) was not significant.
In 2020, all treatment groups were watered twice during the seedling stage, with no difference in water volume (15 mm) among treatments. However, in the flowering stage, there were differences in water volume among different treatment groups. Yet, the data for that year showed that the change in thousand-grain weight was not significant (p > 0.05), indicating a limited impact of water volume on thousand-grain weight. The yield variation among treatments ranged from 1232.211 to 1896.364 kg·ha−1, with treatments M01, M02, and M03 decreasing by 35%, 24%, and 5%, respectively, compared with the CK group; there were significant differences between the first two treatments and CK (p < 0.05). The individual plant yield ranged from 57.417 to 88.364 g, with the individual grain yield of CK in the second growing season increasing by 16.594 g/pearl compared with CK in the first growing season, indicating that the yield of quinoa is influenced not only by the watering but also by the water consumption during the growing season. This emphasizes the importance of appropriate irrigation in increasing quinoa yield. The values of WUE and GWUE ranged from 1.314 to 1.460 kg·m−3 and 0.264 to 0.328 kg·m−3, respectively, with the M03 and CK treatments performing the best, although there is no significant difference between them.

3.7. Relationship between Yield, Water Consumption, and Water Use Efficiency

In the management of crop production, crop water use efficiency (WUE) and grain water use efficiency (GWUE) are important indicators for measuring the efficiency of crop water management. These indicators reflect the relationship between the water consumption of crops throughout the entire growth period and the biomass and grain yield. By conducting a systematic analysis of water consumption, biomass, and grain yield during the crop growth period, we can gain a deeper understanding of how water affects the growth and yield of crops. The research results in Table 7 show significant correlations among quinoa yield, water consumption during the growth period (0.932 **), water consumption from flowering to maturity (0.886 **), GWUE (0.949 **), and WUE (0.955 **). The correlation coefficient between water consumption and yield during the entire growth period was as high as 0.932 **, and during the flowering and ripening stages, this correlation remained significant, with a coefficient of 0.886 **. These findings emphasize the importance of water management throughout the entire growth period of quinoa, especially in the later stages of growth, where effective water management significantly influences crop yield and water use efficiency. Therefore, appropriate water supply during the filling stage is crucial to improving quinoa yield and water use efficiency. The significant correlation between crop water use efficiency and grain water use efficiency indicates that these two indicators can effectively reflect the overall efficiency of water use in quinoa, providing a reliable evaluation measure for crop water management.

4. Discussion

Water is crucial for the growth of crops, as it participates in physiological and biochemical processes and serves as a medium for energy conversion and material exchange throughout the various stages of the crop growth cycle [32]. In this experiment, in quinoa grown under different treatments, water consumption increased with the irrigation amount, which is consistent with the findings obtained by Kaya et al. [33]. In field experiments conducted in Adana and Tarsus, the impact of different irrigation quotas on the water consumption pattern of quinoa was examined. The results from Adana showed that total water consumption and stage-specific water consumption increased with the irrigation amount for three different irrigation quotas (140, 100, and 60 mm) within a year. By comparing water consumption in quinoa during different growth stages in this study, it was found that water consumption was the highest during the flowering and grain-filling stages. This aligns with research by Algosaibi et al. [34], where studies in eastern Saudi Arabia indicated that, under different irrigation frequencies, the water consumption intensity in quinoa peaked between 50 and 90 days after sowing at a rate of 4.1 mm·d−1. The variations in water use efficiency and harvest index related to water consumption were closely linked to irrigation amounts among different treatments. This study found that, during the first growing season, the grain water use efficiency (GWUE) ranged from 0.241 to 0.278 kg·m−3, and the crop water use efficiency (WUE) ranged from 1.281 kg·m−3 to 1.379 kg·m−3. The highest values were observed in the M93 treatment with an irrigation quota of 3000 m3/ha. During the second growing season, the values of WUE and GWUE varied between 1.314 and 1.460 kg·m−3 and 0.264 and 0.328 kg·m−3, respectively, with the M03 and CK treatments performing the best, although there was no significant difference between them. These findings are consistent with those of Geerts et al. [27], who conducted deficit irrigation trials on quinoa in the Bolivian highlands. In the regions of Irpani (2005–2006, with an effective rainfall of 385 mm) and Mejillones (2006–2007, with an effective rainfall of 107 mm), deficit irrigation was applied during the pre-blooming to grain-filling stages. In Irpani, the total water use efficiency (TWUE) values for rainfed and deficit irrigation were 0.50 kg·m−3 and 0.52 kg·m−3, respectively, while in Mejillones, the results were reversed at 0.32 kg·m−3 and 0.28 kg·m−3. The impacts of soil quality, rainfall, and climatic conditions on quinoa’s WUE varied significantly across regions. Drought stress from pre-blooming to early grain-filling stages notably reduced the water use efficiency, although these results are not absolute. The experiment highlighted that larger irrigation amounts during critical water-demanding periods, especially during flowering and grain-filling stages, contributed to enhancing the reproductive growth and seed development of quinoa. This is consistent with the results obtained by Kaya and Yazar [33], who found that when irrigation accounted for 50% of water demand, the WP (water productivity) value could reach 0.78, while under full irrigation, the WP value was 0.52. This insight holds practical significance for cultivating quinoa in arid regions with limited water resources. In a study on potatoes in a northwestern region [35], it was observed that moderate deficit irrigation during key growth stages led to higher yields compared with normal irrigation, with water use efficiency increasing to 41.48%. Employing deficit irrigation during critical growth stages is a solution to enhancing WUE, emphasizing the critical roles of irrigation timing and water management.
Our experimental results show that under different irrigation regimes, quinoa’s yield and dry matter accumulation exhibit significant differences in growth indicators. These differences are primarily influenced by water supply conditions. This aligns with Jensen et al.’s [26] findings, indicating that in arid regions, quinoa faces water stress and may lose biomass or yield to adapt to the dry climate. However, under deficit irrigation conditions, quinoa’s yield increases. Conversely, excessive watering may affect quinoa’s root development and nutrient absorption, thereby impacting its biomass. Therefore, determining the appropriate irrigation amount through experiments in different regions is crucial for robust crop growth. Pulvento et al. [36] discovered, in a Mediterranean region with an average annual rainfall of 805 mm, that well-irrigated quinoa had lower dry matter accumulation (5530 kg·ha−1) compared with 50%-deficit-irrigated quinoa (5670 kg·ha−1). In contrast, quinoa planted in an area 70 km southwest of Marrakech in the Mediterranean region showed higher dry matter accumulation under full irrigation (8300 kg·ha−1) than under 50% deficit irrigation (6400 kg·ha−1) [37]. In this experiment, the maximum yield in the first growing season reached 1436.128 kg·ha−1. This is consistent with González et al.’s [38] findings, where quinoa’s yield under deficit irrigation in arid and semi-arid regions exceeded that under rain-fed conditions. In our study, in the second growing season, with two additional irrigation operations, quinoa’s emergence rate and vigorous seedling growth were ensured, leading to increased yield compared with the first season. This is in line with Geerts et al.’s [13] report, which highlighted the importance of soil moisture before sowing and during the seedling stage for establishing quinoa seedlings and early root development in arid regions. Malili et al. [39] conducted an experimental study on deficit irrigation in the mixed cropping system of quinoa and hairy vetch in the cold desert area of China’s Qinghai. The study aimed to explore the effects of varying water regulation levels on crop yield and water use efficiency. Three irrigation treatments were established: moderate deficit irrigation (45–55% field capacity), mild deficit irrigation (55–65% field capacity), and full irrigation (65–75% field capacity). The findings indicated that, under mild deficit irrigation, the combined yield of quinoa and hairy vetch reached 11,030.48 kg per hectare, with a water use efficiency of 0.56. Similar phenomena occur in the cultivation of other crops. Jia Yaoyu et al. [40] found, in their research in a northwestern region in China, that planting cotton under deficit irrigation reduced yield compared with full irrigation but that using the dry sowing and wet emergence method improved cotton survival rates, thus affecting cotton yield. Duan Weina et al. [41] also noted that deficit irrigation from the seedling to tasseling stages of maize contributed to increased yield. In regions with limited rainfall, such as northwestern arid areas, increasing crop biomass with full irrigation is impractical due to limited water sources, leading to insufficient water supply for crops throughout the entire growth period. Therefore, altering irrigation regimes, especially adopting deficit irrigation moderately, shows better results in grain yield formation. In this experiment, quinoa’s dry matter accumulation increased with the increase in irrigation volume. This corresponds to research results from Bolivia [27,28], Morocco [42], Iran [43], China [39], and other regions, indicating that quinoa’s biomass and yield are influenced by environmental factors, including rainfall, irrigation amount, soil type, geographical location, and climatic conditions.
Different varieties of quinoa have different thousand-grain weights, which also vary under different environmental conditions, water levels, and nutrient levels. In this experiment, the thousand-grain weight of quinoa ranged from 1.76 g to 2.36 g. Although the differences among treatments were not significant, the result confirmed the influence of irrigation on the thousand-grain weight of quinoa. Specifically, different irrigation levels can cause variations in the timing of flowering and branching in individual quinoa plants, which affects the uniformity of maturity. This inconsistency in maturity can lead to the removal of underdeveloped grains during the harvest cleaning process, thereby affecting the final yield. During the flowering to grain-filling stages, an appropriate amount of water can significantly enhance grain plumpness, which is crucial not only for yield but also for the market quality of quinoa. Similar phenomena were observed in the studies by Kaya et al. and Geerts et al. In Kaya et al. [33]’s study, the thousand-grain weight under different irrigation levels ranged from 2.5 g to 3.1 g. In Geerts et al.’s [28] study, the thousand-grain weights under rain-fed, deficit irrigation, and full irrigation conditions were 4.2 g, 5.5 g, and 5.6 g, respectively. These research results indicate that under specific environmental conditions, appropriate irrigation strategies have a certain impact on seed size in quinoa, which can affect both the yield and quality of this crop.

5. Conclusions

In the quinoa introduction trials conducted in Mulei County, we analyzed the effects of different irrigation quotas on quinoa’s water consumption, yield, biomass, and related parameters over two growing seasons (2019 and 2020). Using a drip irrigation system without a film, the irrigation quota in 2019 was set between 2250 and 3675 m3·ha−1, while in 2020, it included two additional irrigation times during the seedling stage (each watering 150 m3·ha−1), with irrigation quotas ranging from 2550 to 3675 m3·ha−1. The results indicated that appropriate irrigation significantly enhances quinoa yield, biomass, GWUE, and WUE, all of which are crucial for agricultural production in the arid regions of northwestern China. These areas experience scant rainfall and high evaporation rates, making deficit irrigation vital not only for quinoa growth but also for maintaining stable yields under limited water resources. It is especially critical to ensure sufficient irrigation in quinoa from the flowering to the maturity stages. The results of the second growing season further confirmed this point, showing that the quinoa yield in the region increased with increased water application. Specifically, under a 14-day irrigation cycle and an irrigation quota of 3675 m3·ha−1 in the control group (CK), the highest yield was achieved over the two growing seasons at 1896.36 kg·ha−1, with a grain water use efficiency of 0.322 kg/m3. Additionally, while the harvest index and thousand-grain weight showed minimal changes under different irrigation quotas, the increase in the harvest index reflects the positive effect of increased irrigation on yield enhancement. Lastly, in the second growing season, all treatments effectively improved quinoa germination and emergence rates by adding two irrigations during the seedling stage, with each irrigation of 150 m3·ha−1 providing crucial cultivation support for quinoa production.

Author Contributions

Conceptualization, M.A. and H.T.; methodology, M.A. and H.T.; validation, M.A., H.T. and J.Z.; formal analysis, M.A.; investigation, M.A.; resources, M.A. and H.T.; data curation, M.A., H.T. and J.Z.; writing—original draft preparation, M.A.; writing—review and editing, M.A., H.T. and J.Z.; visualization, M.A.; supervision, H.T. and J.Z.; project administration, H.T. and J.Z.; funding acquisition, J.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (52169013).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no competing interests.

References

  1. Zhao, H.; Cai, D.; Wang, H.; Yang, Y.; Wang, Y.; Zhang, K.; Qi, Y.; Zhao, F.; Chen, F.; Yue, P.; et al. Progress and prospect on impact of drought disaster on food security and its countermeasures. J. Arid. Meteorol. 2023, 41, 187–206. [Google Scholar]
  2. Williams, W.D. Salinisation: A major threat to water resources in the arid and semi-arid regions of the world. Lakes Reserv. Res. Manag. 2010, 4, 85–91. [Google Scholar] [CrossRef]
  3. Ni, S.; Lyu, J.; Liu, J. Analysis on the evolution trend of drought disaster in China under changing environment. China Flood Drought Manag. 2022, 32, 1–7. [Google Scholar]
  4. Liu, J. Study on Long-Term Utilization of Agricultural High-Efficiency Water-Saving Irrigation Technology in Xinjiang; Xinjiang Agricultural University: Ürümqi, China, 2016. [Google Scholar]
  5. Wang, J. The distribution and evolution of Xinjiang’s Arid Zone under climate warming and humidification. Arid Environ. Monit. 2023, 37, 15–21. [Google Scholar]
  6. Wen, R.; Liu, J.; Zhang, Z. Effects of Drought Stress on Germination and Physiological Characteristics of Different Quinoa Seeds. Crops 2019, 1, 121–126. [Google Scholar]
  7. Qureshi, A.S.; Daba, A.W. Differential analysis of five quinoa (Chenopodium quinoa W.) genotypes under different salt stresses in a controlled environment. Am.-Eurasian J. Sustain. Agric. 2020, 14, 14–21. [Google Scholar]
  8. Hirich, A.; Redouane, C.; Jacobsen, S. The combined effect of deficit irrigation by treated wastewater and organic amendment on quinoa (Chenopodium quinoa Willd.) productivity. J. Desalination Water Treat. 2013, 52, 2208–2213. [Google Scholar] [CrossRef]
  9. Jacobsen, S.E. The Worldwide Potential for Quinoa (Chenopodium quinoa Willd). Food Rev. Int. 2003, 19, 167–177. [Google Scholar] [CrossRef]
  10. Singh, R.K.; Tutundjin, S.; Rodriguez, J.P. Quinoa: An underutilized crop for nutritional food security from the marginal lands. In Proceedings of the International Workshop on “Plant Stress Biology and Food Security” ICGEB, Delhi, India, 18–20 April 2019. [Google Scholar] [CrossRef]
  11. Hirich, A.; Rafik, S.; Rahmani, M.; Fetouab, A.; Azaykou, F.; Filali, K.; Ahmadzai, H.; Jnaoui, Y.; Soulaimani, A.; Moussafir, M.; et al. Development of Quinoa Value Chain to Improve Food and Nutritional Security in Rural Communities in Rehamna, Morocco: Lessons Learned and Perspectives. Plants 2021, 10, 301. [Google Scholar] [CrossRef] [PubMed]
  12. Al-Naggar, A.M.M.; Abd El-Salam, R.M.; Badran, A.E.E.; Boulos, S.T.; El-Moghazi, M.M. Leaf Amino Acids and Anatomical Traits of Drought Tolerant vs. Sensitive Genotypes of Quinoa (Chenopodium quinoa Willd.) under Elevated Levels of Water Stress. Annu. Res. Rev. Biol. 2018, 22, 1–19. [Google Scholar] [CrossRef]
  13. Geerts, S.; Raes, D.; Garcia, M.; Vacher, J.; Mamani, R.; Mendoza, J.; Huanca, R.; Morales, B.; Miranda, R.; Cusicanqui, J.; et al. Introducing deficit irrigation to stabilize yields of quinoa (Chenopodium quinoa Willd.). Eur. J. Agron. 2008, 28, 427–436. [Google Scholar] [CrossRef]
  14. Alizadeh-Zoaj, F.; Sepaskhah, A.R.; Talebnejad, R. Nitrogen application rates influence on yield and water productivity of quinoa under saline irrigation water regimes and saline water table. J. Plant Nutr. 2023, 46, 3273–3291. [Google Scholar] [CrossRef]
  15. Aziz, A.; Akram, N.A.; Ashraf, M. Influence of natural and synthetic vitamin C (ascorbic acid) on primary and secondary metabolites and associated metabolism in quinoa (Chenopodium quinoa Willd.) plants under water deficit regimes. Plant Physiol. Biochem. 2018, 123, 192–203. [Google Scholar] [CrossRef]
  16. Murphy, K.S.; Matanguihan, J. Quinoa: Improvement and Sustainable Production; John Wiley & Sons: Hoboken, NJ, USA, 2015. [Google Scholar]
  17. Qi, T.M.; Li, Z.J.; Qin, P.Y.; Ren, G.X.; Zhou, B.W. Research and Application Prospect of Quinoa Cultivation Technology. J. Agric. Sci. Technol. 2022, 24, 157–165. [Google Scholar]
  18. Huang, J. The inaugural Western China Quinoa Industry Summit and the 2015 Annual Meeting of the Chinese Crop Science Society Quinoa Branch. J. Agric. Sci. Technol. 2015, 17, 141. [Google Scholar]
  19. Gongbu, T.; Wang, M.; Zhang, C. Preliminary study of biological characters of quinoa in Tibet. Acta Agric. Boreali-Occident. Sin. 1994, 4, 81–86. [Google Scholar]
  20. Gongbu, T.; Wang, M. Quinoa nutritional character in Tibet. Acta Agric. Boreali-Occident. Sin. 1995, 3, 85–88. [Google Scholar] [CrossRef]
  21. Liu, S.; Fan, W. Suggestion to promote scale cultivation and formation of production chain of quinoa in Shanxi. J. Shanxi Agric. Sci. 2011, 39, 767–769. [Google Scholar]
  22. Tian, J.; Tang, Y.; Dong, Y. Effect of water stress on physiology of quinoa in different developmental stages. J. Biol. 2020, 37, 73–76. [Google Scholar]
  23. Garcia, M.; Raes, D.; Jacobsen, S.E. Evapotranspiration analysis and irrigation requirements of quinoa (Chenopodium quinoa) in the Bolivian highlands. Agric. Water Manag. 2003, 60, 119–134. [Google Scholar] [CrossRef]
  24. Yazar, A.; Sezen, S.M.; Tekin, S. Quinoa Experimentation and Production in Turkey; FAO: Adana, Turkey, 2015. [Google Scholar]
  25. Fghire, R.; Chraibi, A.; Wahbi, S. Does deficit irrigation be a sustainable approach for optimized Quinoa production in arid and semi-arid regions? In Proceedings of the Water Resources in the Arid and Semi-Arid Regions: Challenges and Prospects, Beni mellal, Morroco, 14–16 November 2012; Available online: https://www.researchgate.net/publication/259741290 (accessed on 1 January 2020).
  26. Jensen, C.R.; Jacobsen, S.E.; Andersen, M.N.; Nunez, N.; Andersen, S.D.; Rasmussen, L.; Mogensen, V.O. Leaf gas exchange and water relation characteristics of field quinoa (Chenopodium quinoa Willd.) during soil drying. Eur. J. Agron. 2000, 13, 11–25. [Google Scholar] [CrossRef]
  27. Geerts, S.; Raes, D. Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agric. Water Manag. 2009, 96, 1275–1284. [Google Scholar] [CrossRef]
  28. Geerts, S.; Raes, D.; Garcia, M.; Condori, O.; Mamani, J.; Miranda, R.; Cusicanqui, J.; Taboada, C.; Yucra, E.; Vacher, J. Could deficit irrigation be a sustainable practice for quinoa (Chenopodium quinoa Willd.) in the Southern Bolivian Altiplano? Agric. Water Manag. 2008, 95, 909–917. [Google Scholar] [CrossRef]
  29. Yang, Y. Study on Ecological Security Evaluation of Cultivated Land in Mulei County. Master’s Thesis, Xinjiang Agricultural University, Ürümqi, China, 2020. [Google Scholar]
  30. Allen, R.; Pereira, L.; Raes, D.; Smith, M. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements; FAO Irrigation and Drainage: Rome, Italy, 1998; Paper 56. [Google Scholar]
  31. Irrigation Experiment Specifications (SL13-2015) [S]; China Water & Power Press: Beijing, China, 2015.
  32. Powers, S.E. Nutrient loads to surface water from row crop production. Int. J. Life Cycle Assess. 2007, 12, 399–407. [Google Scholar] [CrossRef]
  33. Kaya, Ç.I.; Yazar, A.; Sezen, S.M. SALTMED Model Performance on Simulation of Soil Moisture and Crop Yield for Quinoa Irrigated Using Different Irrigation Systems, Irrigation Strategies and Water Qualities in Turkey. In Proceedings of the International Symposium on Efficient Irrigation Management and Its Effects in Urban and Rural Landscapes, Patras, Greece, 26–28 November 2014; pp. 108–118. [Google Scholar] [CrossRef]
  34. Algosaibi, A.M.; Badran, A.E.; Almadini, A.M.; El-Garawany, M.M. The Effect of Irrigation Intervals on the Growth and Yield of Quinoa Crop and Its Components. J. Agric. Sci. 2017, 9, 182. [Google Scholar] [CrossRef]
  35. Cao, Z.; Liu, Y.; Zhang, X. Effects of deficit irrigation on growth, yield and water use of potato plants. Agric. Water Manag. 2019, 35, 114–123. [Google Scholar]
  36. Pulvento, C.; Riccardi, M.; Lavini, A.; d’Andria, R.; Iafelice, G.; Marconi, E. Field Trial Evaluation of Two Chenopodium quinoa Genotypes Grown Under Rain-Fed Conditions in a Typical Mediterranean Environment in South Italy. J. Agron. Crop Sci. 2010, 196, 407–411. [Google Scholar] [CrossRef]
  37. Fghire, R.; Wahbi, S.; Anaya, F.; Issa Ali, O.; Benlhabib, O.; Ragab, R. Response of Quinoa to Different Water Management Strategies: Field Experiments and Saltmed Model Application Results. Irrig. Drain. 2015, 64, 232–238. [Google Scholar] [CrossRef]
  38. González, J.A.; Gallardo, M.; Hilal, M.B.; Rosa, M.D.; Prado, F.E. Physiological Responses of Quinoa (Chenopodium quinoa Willd.) to Drought and Waterlogging Stresses: Dry Matter Partitioning. Bot. Stud. 2009, 50, 35–42. [Google Scholar]
  39. Ma, L.; Zhang, Y.; Li, Z.; Han, M.; Jiang, F. Effects and comprehensive evaluation of regulated deficit irrigation on mixed seeding of Chenopodium quinoa Willd. and Vicia villosa in alpine desert area. J. Qinghai Univ. 2022, 40, 18–24. [Google Scholar] [CrossRef]
  40. Jia, Y.; Huang, W.; Yang, B. A meta-analysis of yield and irrigation water productivity of cotton under dificit irrigation in China. Cotton Sci. 2023, 35, 195–210. [Google Scholar]
  41. Duan, W. Dynamic Response of Root-Shoot Growth of Summer Maize to Soil Moisture under Deficit Irrigation. Master’s Thesis, Northwest A&F University, Xianyang, China, 2022. [Google Scholar] [CrossRef]
  42. Kaoutar, F.; Abdelaziz, H.; Ouafae, B.; Redouane, C.A.; Ragab, R. Yield and Dry Matter Simulation Using the Saltmed Model for Five Quinoa (Chenopodium quinoa) Accessions Under Deficit Irrigation in South Morocco. Irrig. Drain. 2017, 66, 340–350. [Google Scholar] [CrossRef]
  43. Talebnejad, R.; Sepaskhah, A.R. Effect of deficit irrigation and different saline groundwater depths on yield and water productivity of quinoa. Agric. Water Manag. 2015, 159, 225–238. [Google Scholar] [CrossRef]
Figure 1. Overview of the experimental area.
Figure 1. Overview of the experimental area.
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Figure 2. Field trial layout in 2019. M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
Figure 2. Field trial layout in 2019. M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
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Figure 3. ET0 and rainfall during the growing season (mm·day−1). T max: maximum temperature (°C); T min: minimum temperature (°C); Rn: radiation (MJ·m2·d−1); WS: wind speed (m·s−1).
Figure 3. ET0 and rainfall during the growing season (mm·day−1). T max: maximum temperature (°C); T min: minimum temperature (°C); Rn: radiation (MJ·m2·d−1); WS: wind speed (m·s−1).
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Figure 4. Crop coefficients for quinoa growth stages.M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
Figure 4. Crop coefficients for quinoa growth stages.M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
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Table 1. Initial soil properties of the test area (post-organic fertilizer application).
Table 1. Initial soil properties of the test area (post-organic fertilizer application).
Topsoil, cmOrganic Matter, g·kg−1Available Nitrogen, mg·kg−1Available Phosphorus, mg·kg−1Available Potassium, mg·kg−1PHTotal Salts, mg·g−1Field Capacity,
%
Wilting Point,
%
Soil Bulk Density, g·cm−3
0–2017.48 69.50 45.25 384.00 7.84 0.65 21.73 10.12 1.64
20–4012.80 52.75 14.55 269.15 7.78 0.50 21.34 9.76 1.62
40–607.00 36.25 6.85 151.30 7.15 0.31 21.12 9.54 1.59
60–804.90 25.38 4.80 105.91 5.01 0.21 20.75 9.21 1.58
Table 2. Irrigation quotas during quinoa growth stage (m3·ha−1). M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
Table 2. Irrigation quotas during quinoa growth stage (m3·ha−1). M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1.
Growth StagesDateDays of Growth20192020
M91M92M93CKM01M02M03CK
Germination24 April–2 May900000000
Seedling3 May–25 May23000300300300300300
Branching26 May–19 June2500000000
Bud20 June–6 July19450525600675450525600675
Flowering7 July–22 July15450525600675450525600675
Fruiting23 July–3 September4213501575180020251350157518002025
Ripening4 September–15 September1200000000
Irrigation quota 14522502625300036752550292533003675
Table 3. Water consumption in different quinoa growth stages (mm).M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1. Tables show different letters (a, b, c, d) indicating significant differences among treatments (p < 0.05).
Table 3. Water consumption in different quinoa growth stages (mm).M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1. Tables show different letters (a, b, c, d) indicating significant differences among treatments (p < 0.05).
YearTreatmentsGrowth StagesETc
SeedlingBranchingBudFloweringFruitingRipening
2019M9122.80 b47.03 b61.72 c64.06 d184.40 c26.93 c406.94 c
M9222.80 b47.03 b68.52 bc73.20 c205.80 b27.81 bc445.16 bc
M9322.80 b47.03 b75.20 b81.03 b226.42 a29.96 ab482.43 b
CK52.80 a53.44 a82.28 a88.30 a246.50 a31.43 a554.75 a
2020M0150.11 a60.58 a64.95 c74.73 c193.73 d22.01 b466.10 c
M0250.98 a60.23 a73.14 b82.57 bc216.21 c25.69 a508.81 bc
M0350.28 a59.29 a79.37 b90.27 ab241.44 b25.78 a546.43 ab
CK51.24 a60.92 a87.04 a97.60 a264.31 a27.36 a588.45 a
Table 4. Changes in quinoa dry matter in different growth stages (g·plant). M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1. Tables show different letters (a, b, c, d) indicating significant differences among treatments (p < 0.05).
Table 4. Changes in quinoa dry matter in different growth stages (g·plant). M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1. Tables show different letters (a, b, c, d) indicating significant differences among treatments (p < 0.05).
YearTreatmentsGrowth Stages
SeedlingBranchingBudFloweringFruitingRipening
2019M910.500 b5.820 b24.910 c78.571 c240.677 c262.168 c
M920.512 b5.840 b29.540 b87.424 bc283.909 b285.077 c
M930.515 b5.910 b32.200 b95.050 b304.624 b332.360 b
CK0.980 a17.010 a56.070 a153.540 a349.870 a370.460 a
2020M011.009 a17.980 a56.080 c107.550 d275.080 c285.290 d
M021.032 a18.140 a61.360 bc127.950 c308.000 b318.830 c
M031.032 a18.010 a66.520 ab151.740 b358.740 a367.428 b
CK1.040 a18.150 a70.220 a166.346 a384.850 a400.340 a
Table 5. Pearson correlation coefficients between growth indicators of quinoa and water consumption during different growth stages. * and ** indicate significance at the 0.05 and 0.01 probability levels, respectively.
Table 5. Pearson correlation coefficients between growth indicators of quinoa and water consumption during different growth stages. * and ** indicate significance at the 0.05 and 0.01 probability levels, respectively.
YearGrowth ParametersGrowth Stages
SeedlingBranchingBudFloweringFruitingRipening
2019Plant height0.969 **0.890 **0.825 **0.973 **0.989 **0.911 **
Stem diameter0.997 **0.972 **0.958 **0.859 **0.932 **0.856 **
Leaf area0.724 **0.855 **0.909 **0.849 **0.991 **0.934 **
Root dry mass0.997 **0.932 **0.827 **0.822 **0.975 **0.917 **
Stem dry mass0.967 **0.941 **0.938 **0.936 **0.997 **0.973 **
Leaf dry mass0.999 **0.939 **0.817 **0.780 **0.979 **0.883 **
Fruit dry mass 0.803 **0.836 **0.966 **0.942 **
Dry mass accumulation0.999 **0.939 **0.874 **0.854 **0.990 **0.956 **
2020Plant height0.952 **0.950 **0.932 **0.996 **0.966 **0.955 **
Stem diameter0.942 **0.980 **0.991 **0.984 **0.956 **0.978 **
Leaf area0.586 *0.888 **0.947 **0.941 **0.987 **0.795 **
Root dry mass0.750 **0.968 **0.951 **0.972 **0.902 **0.969 **
Stem dry mass0.937 **0.971 **0.988 **0.989 **0.986 **0.831 **
Leaf dry mass0.926 **0.977 **0.992 **0.987 **0.977 **0.884 **
Fruit dry mass 0.937 **0.972 **0.979 **0.884 **
Dry mass accumulation0.918 **0.976 **0.992 **0.987 **0.995 **0.896 **
Table 6. Changes in factors affecting quinoa yield under different irrigation levels. M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1; TGW: thousand-grain weight; HI: harvest index; WUE: crop water use efficiency; GWUE: grain water use efficiency. Tables show different letters (a, b, c) indicating significant differences among treatments (p < 0.05).
Table 6. Changes in factors affecting quinoa yield under different irrigation levels. M91: treatment with irrigation quota of 2250 m3·ha−1; M92: treatment with irrigation quota of 2625 m3·ha−1; M93: treatment with irrigation quota of 3000 m3·ha−1; M01: treatment with irrigation quota of 2550 m3·ha−1; M02: treatment with irrigation quota of 2925 m3·ha−1; M03: treatment with irrigation quota of 3300 m3·ha−1; CK: treatment with irrigation quota of 3675 m3·ha−1; TGW: thousand-grain weight; HI: harvest index; WUE: crop water use efficiency; GWUE: grain water use efficiency. Tables show different letters (a, b, c) indicating significant differences among treatments (p < 0.05).
YearTreatmentsTGW,
g
Yield per Plant,
g
Yield,
kg·ha−1
HIWUE,
kg·m−3
GWUE,
kg·m−3
2019M911.945 b49.718 b994.859 b0.213 a1.289 a0.244 b
M922.140 ab53.704 b1074.622 b0.215 a1.281 a0.241 b
M932.162 a66.978 a1340.234 a0.228 a1.379 a0.278 a
CK2.270 a71.771 a1436.128 a0.220 a1.336 a0.259 ab
2020M012.204 a57.417 c1232.211 c0.224 b1.314 b0.264 b
M022.320 a66.879 b1435.264 b0.240 ab1.345 ab0.282 b
M032.436 a83.670 a1795.618 a0.257 a1.443 ab0.328 a
CK2.297 a88.364 a1896.364 a0.248 ab1.460 a0.322 a
Table 7. Pearson correlation coefficients of components of water use efficiency. WUE: crop water use efficiency; GWUE: grain water use efficiency. * and ** indicate significance at the 0.05 and 0.01 probability levels, respectively.
Table 7. Pearson correlation coefficients of components of water use efficiency. WUE: crop water use efficiency; GWUE: grain water use efficiency. * and ** indicate significance at the 0.05 and 0.01 probability levels, respectively.
ParametersYieldETcETc from Flowering to RipeningGWUEWUE
Yield1
ETc0.932 **1
ETc from flowering to ripening0.886 **0.955 **1
GWUE0.949 **0.775 *0.728 *1
WUE0.955 **0.818 *0.825 *0.971 **1
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Awa, M.; Zhao, J.; Tumaerbai, H. Deficit Irrigation-Based Improvement in Growth and Yield of Quinoa in the Northwestern Arid Region in China. Sustainability 2024, 16, 4136. https://doi.org/10.3390/su16104136

AMA Style

Awa M, Zhao J, Tumaerbai H. Deficit Irrigation-Based Improvement in Growth and Yield of Quinoa in the Northwestern Arid Region in China. Sustainability. 2024; 16(10):4136. https://doi.org/10.3390/su16104136

Chicago/Turabian Style

Awa, Mukeran, Jinghua Zhao, and Hudan Tumaerbai. 2024. "Deficit Irrigation-Based Improvement in Growth and Yield of Quinoa in the Northwestern Arid Region in China" Sustainability 16, no. 10: 4136. https://doi.org/10.3390/su16104136

APA Style

Awa, M., Zhao, J., & Tumaerbai, H. (2024). Deficit Irrigation-Based Improvement in Growth and Yield of Quinoa in the Northwestern Arid Region in China. Sustainability, 16(10), 4136. https://doi.org/10.3390/su16104136

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