Irrigation Rationalization Boosts Wheat (Triticum aestivum L.) Yield and Reduces Rust Incidence under Arid Conditions

Abstract

Under changing climate, water scarcity and frequent incidence of diseases like stripe rust pose the biggest threat to sustainable crop production which jeopardizes nutritional security. A study was executed to rationalize crop water requirement and evaluate wheat (Triticum aestivum L. cv. Bohoth 3) yield losses by stripe rust infection under irrigated conditions. Seven water treatments included three irrigations in three stages/season (S₃), four irrigations (S₄), and five irrigations (S₅) at the different sensitive growth stages, full (F), and two deficit irrigation levels including D₁ = 80% of field capacity (FC) and D₂ = 70% (FC) along with farmers' practice of irrigation as control (C). Results revealed that F and D₁ boosted grain yield by 31 and 14%. Overall, F irrigation regime resulted in the highest grain production (2.93 ton/ha) as well as biomass yield (13.2 ton/ha). However, D₂ had the highest value of grain protein (15.9%) and achieved the highest application efficiency (AE) at midseason (54.6%) and end season (59.6%), and the lowest AE was under S₃. Also, halting irrigation at the milky stage (S₅) led to a significant decrease in irrigation water use efficiency as compared to D₁. However, cutting irrigation at the end of seedling, heading, and milky stages (S₃) caused a significant reduction in E_a, crop water use (ET_a), and 1000 grain weight in comparison with all other treatments. Regarding yellow rust, S₃ irrigation regime resulted in the lowest incidence of yellow rust infection. The highest irrigation and water use efficiency values were recorded under D₁ (0.79 and 0.59 kg/m³), and the lowest values were obtained for control. Hence, the deficit irrigation treatment D₁ could be recommended as the best appropriate strategy to save more water and to improve the water productivity under Yemeni agroclimatic conditions.

1. Introduction

Globally, wheat is a major and most important staple food crop that is being grown on a larger area [1], and its demand is projected to be increased by 60% up till 2050 [2–4]. Due to the involvement of subsistence farmers, wheat production also has a major impact on household food and nutritional security. In the Central and West Asia and North Africa (CWANA) region, wheat is the basic staple and food security crop, contributing over 60% of people's daily calorific needs. However, wheat productivity in the region is very low (less than 2.5 t/ha) which is due to the major abiotic (drought, cold, heat, and salinity) and biotic (stripe rust, leaf rust, stem rust, and Hessian fly) stresses [5]. Owing to serious water scarcity and disease incidence, Yemen is heavily dependent on wheat imports.

In many rain-fed environments, shortage of soil moisture often occurs during the most sensitive stages of crop growth (flowering and grain filling) which can severely affect plant growth and yield. The application of limited amounts of water during critical crop growth stages can substantially increase yield and water productivity by reducing the drastic impacts of drought [6, 7]. Also, full irrigation becomes economically unviable for most producers who tend to rely on reducing irrigation level to cover the loss of yield revenue [8, 9]. Supplemental irrigation insensitive growth stages can help allowing the plant to increase its photosynthesis rate and give extra time to translocate the carbohydrate to grains, which could improve grain size and thereby may lead to increase grain yield [10]. Using limited SI during sensitive growth stages can boost WUE and wheat yield [11]. Irrigation level of 80% FC remained equivalent to full irrigation as far as the yield was concerned while lesser deficit irrigation recorded significant yield reduction [12]. The water use efficiency for wheat ranged from 0.44 kg/m³ for rain-fed to 1.04 kg/m³ for full supplementary irrigation treatment [13]. Contrarily, Farre and Faci [14] reported that water use efficiency decreased with decreasing irrigation levels.

The time and growth stage determination to apply deficit irrigation is critical to obtain comparable yields as that of full irrigation. The quantity of irrigation water is reduced at the beginning and end of crop season because consumptive use is being less [15]. Wheat crop during the maturity stage has low sensitivity to water stress. So, the irrigation process could be stopped [16].

Water application efficiency, which is the ratio of retained moisture in the root zone to the applied irrigation water, can serve as a vital indicator to boost water productivity [17]. In addition, Zhang et al. [18] concluded that deficit irrigation at critical growth stages resulted in higher water application efficiency without a significant loss in grain yield.

Similarly, Tari [19] recommended that water deficit should be applied in milk grain stage of wheat to reduce the yield losses. Water application efficiency might be boosted by applying water at seedling milking stages of wheat [20]. However, another study reported that irrigation at tillering and grain filling stages increased water application efficiency [21]. Full irrigation treatment resulted in high grain and biomass yield of wheat, and this impact differed depending on the irrigation amount and its application stage [22]. Seleiman et al. [23] stated that less irrigation and water stress increased protein content by 11.20-13.40% as compared to full irrigation. It was reported that irrigation applied in the milk stage increased the protein ratios, where the highest protein ratio was obtained under the moisture conditions of the full irrigation at milk stage of wheat [19]. Likewise, Noorka and Silva [24] found that, under normal irrigation conditions, the protein contents of wheat ranged from 11.2 to 13.78%, while under water stress condition, it ranged from 12.47 to 13.92%. There was a positive relationship between grain yield and morphological traits (spike length, peduncle length, awn length, and grains/spike) under water stress conditions [25]. Moisture stress could reduce biomass, grains per spike, and grain size at any stage when it occurs. Thus, the overall effect of moisture stress depends on the intensity and length of stress [26].

Yellow rust caused by Puccinia striiformis f. sp. tritici (Pst) and leaf rust caused by P. recondite f. sp. tritici (Prt) are two kinds of economically important airborne diseases that could infect wheat worldwide [27, 28]. However, wheat stripe rust (also called yellow rust) is the most destructive disease worldwide and might result in a complete crop loss [29, 30]. The rust disease might spread to Yemen and Sudan in 2006 and further spread towards North Africa and the Middle East [31]. Yield loss due to yellow rust natural infection at highland areas ranged from 27% to 35% [32]. Similarly, Shaalan et al. [33] found that the ability of Bohoth 3 variety for infection in yellow rust was 20MS (moderately susceptible), stem rust 30S (susceptible), and leaf rust (10MS). The infection of wheat by yellow rust appears in winter season, particularly at the temperature of 5-22°C with an increasing humidity [34]. Tolerance to yellow rust is one of the most important targets of wheat breeding programs in all wheat-growing regions of the world [35]. Nowadays, wheat yellow rust is the major obstacle to a stable and high yield of wheat [36].

The experiment is aimed at rationalizing water requirement of the wheat crop through calculation of the optimal water requirement, as well as rationalizing water through using deficit irrigation techniques. It is also aimed at studying the irrigation effect at the critical stages on the grain production. Moreover, it evaluated the effect of full, deficit irrigation and irrigation in sensitive growth stages on water characteristics and crop characteristics. Lastly, the incidence of wheat yellow rust infection to different irrigation schedule systems was also quantified.

2. Materials and Methods

2.1. Experimental Site and Procedures

The experiment was carried out at the research farm of Central Highland Station (14°54′N latitudes, 44°41′E longitudes, and altitude of 2421 m) during the winter season of 2011 using wheat crop variety Bohoth 3. The climatic measurements were taken: maximum and minimum air temperature, relative humidity, wind speed, sunshine hours, rainfall, and estimated reference evapotranspiration (ET_o) mm/month along with long-term means are presented in Table 1.

Table 1.

Climatic data during the wheat experiment in 2011 and long-term (1985-2015).

	Growing season 2011
Climatic elements/months	January	February	March	April	May
Max. temperature (°C)	21.5	22.8	24.4	25.6	25
Min. temperature (°C)	3	5.1	8.1	9.9	10.7
Average temperature (°C)	12.2	13.9	16.2	17.7	17.8
Relative humidity (%)	57	56	54	54	61
Wind speed (km/day)	110.3	146.5	125	168.4	166.4
Sunshine (hour/day)	10.3	10.2	7.1	9.5	8.8
Rainfall (mm/month)	9	0	0	52.6	64.6
Reference evapotranspiration (ETo) (mm/month)	82	102	106	133	124
Climatic elements/months	Long-term average (1985-2015)
Max. temperature (°C)	21.2	22.8	24.9	25.1	28
Min. temperature (°C)	2	3.4	6.3	8.7	9.9
Average temperature (°C)	11.6	13.1	15.6	16.9	18.95
Rainfall (mm/month)	7	8	18	50	45

To determine soil physicochemical characteristics, soil samples were taken from three depths (0-30, 30-60, and 60-90 cm) and were subsequently analyzed for pH and electrical conductivity (EC), acidity, and salinity of irrigation water (Table 2).

Table 2.

Soil characteristics in the research farm.

Depth (cm)	Texture class	pH	EC dS/m	CaCO3 %	ρb∗ (g/cm3)
0-30	L	7.6	0.71	2.76	1.30
30-60	CL	7.8	0.49	2.67	1.32
60-90	L	7.8	0.33	15.3	1.37
Mean		7.73	0.51	6.91	1.33

^∗Bulk density.

The experiment was performed in the field in January 2011. The nitrogen was applied as a urea fertilizer (120 kg ha⁻¹) in two equal splits at planting and tillering stages, while phosphorous was added as triple superphosphate fertilizer (100 kg ha⁻¹) by following Yemeni research recommendations [37]. The yellow rust infection appeared at the grain filling stage where it was evaluated in two different periods, and the harvesting was in May 2011 (4 m²/experimental unit).

The disease severity of stripe (yellow) rust was measured according to the modified Cobb scale [38]; however, the infection type of stripe rust was recorded according to Akhtar et al. [39] as shown in Table 3.

Table 3.

The resistant type of stripe rust based on the modified scale.

Type of resistant (reaction)	Response value
No. disease (O)	0.0
Resistant (R)	0.2
Resistant to moderately resistant (RMR)	0.3
Moderately resistant (MR)	0.4
Moderately resistant to moderately susceptible (MRMS)	0.6
Moderately susceptible (MS)	0.8
Moderately susceptible to susceptible (MSS)	0.9
Susceptible (S)	1.0

2.2. Experimental Design and Treatments

The experiment included seven water treatments: the first was full irrigation level 100%, two treatments under deficit irrigation D₁ and D₂ (80, 70% FC), three treatments S₃, S₄, and S₅ applying irrigations at different growth stages of the crop (planting, full seedling, tillering, elongation, heading, and milky stage), S₅ applied five irrigations at the above-mentioned stages except for the milky stage, and four irrigation (S₄) except one irrigation of S₅ at the seedling stage, three irrigations (S₃) at planting, tillering and stem elongation stages, and the seventh treatment under farmers' conditions. Table 4 shows growth and development stages for a wheat variety Bohoth 3. Plot dimensions were 4.2 m in length and 3.5 m in width, with an area of 14.7m².

Table 4.

The crop development stages of wheat (Bohoth 3).

Months	January		February	March		April-May
Irrigation No.	1	2	3	4	5	6
Days after sowing	0	(23–77)	(42–64)	(58–63)	(78–81)	(96-99)	(123–130)
Growth stages	Planting	Seedling	Tillering	Elongation	Heading	Milking	Harvesting
Development stage	Initial		Crop development	Midseason		End season

2.3. Meteorological Data

The average annual temperature in Dhamar region remained at 16.1°C, while rainfall was 377 mm. In the initial and development stage of the winter wheat season, rainfall was scarce (9-33 mm) during the months of January, February, and March. However, at the advanced growth stages, the monthly precipitation was increased during April and May. The mean monthly temperature during the wheat season varied between 12.25 and 17.8°C. The long-term historical climatic data have been presented in Table 1.

2.4. Irrigation Scheduling

Irrigations were scheduled based on the climatic data, the soil moisture, and the sensitive growth stages using a computer software program (Crop-Wat). Net irrigation requirement was adjusted for application efficiency of furrow method (60%) by dividing the resulted irrigation quantity by the irrigation efficiency as shown in Table 5. The irrigation quantity of experimental units was measured using a water meter. The soil moisture content was monitored prior to each irrigation using the gravimetric method at the different stages in the active root depth.

Table 5.

Irrigation quantity values for different water treatments.

Irrigation no.	1	2	3	4	5	6	Water requirement (mm/season)
Deficit irrigation
(1) (D1) 80%	14	26	66	90	81	45	322
(2) (D2) 70%	12	23	57	79	71	40	282
(3) (F) 100%	18	32	82	113	101	57	403
Irrigation at sensitive stages
(4) 3 irrigations	18	—	82	113	—	—	213
(5) 4 irrigations	18	—	82	113	101	—	314
(6) 5 irrigations	18	32	82	113	101	—	346
(7) Control (winter season)	94.4	94.4	94.4	94.4	94.4	94.4	566

Irrigation was applied to restore the moisture deficit in the root zone (90 cm depth) when 50% of available water had been depleted. The full water requirement was 402 mm per season, and deficit irrigations included D₁ = 322 mm per season and D₂ = 282 mm per season. In addition, irrigations at the growth stages of wheat were S₅ = 346, S₄ = 314, and S₃ = 213 mm/season (Table 5). The total rainfall during the growing season of wheat amounted to 72.7 mm. It was noticed that applied water at the start and end season was lower [15], as the irrigation at maturity stage was stopped [16]. The irrigation quantity applied by the farmer was 566 mm/season in the winter season.

Water use efficiency (WUE) and irrigation water use efficiency (IWUE) in kg/m³ were calculated as previously reported [40]:

$$\begin{array}{c}\text{WUE}=\frac{\text{GY}}{\text{ET}\ast 10},\\ \text{IWUE}=\frac{\text{GY}}{I\ast 10},\end{array}$$ (1)

where GY is the grain yield (kg/ha) and I is the added water amount during the season (mm).

Water application efficiency was calculated according to the following relation [41]:

$$\begin{array}{c}{E}_{\text{a}}=\frac{R_{\text{z}}}{\forall }\times 100,\end{array}$$ (2)

where E_a is the water application efficiency (%), R_Z is the total water stored in root zone depth (mm), ∀ is the added water amount to each treatment (mm), and R_z is the value calculated according to the last reference.

$$\begin{array}{c}{R}_{\text{Z}}=\frac{\mathrm{\Delta }{\theta }_W\times {\rho }_b\times D}{100},\end{array}$$ (3)

where Δθ_W is the difference of the moisture content before and after irrigation (%), D is the active root depth (0-90 cm), and ρ_b is the soil bulk density (g/cm³).

2.5. Statistical Analysis

The results were statistically analyzed using SAS (Statistical Analysis System, Version 9.00 TS level 00M0 XP_PRO platform), and a comparison between treatment means was set up through Duncan's Multiple Range Test (DMRT) at a 5% probability level.

3. Results and Discussions

3.1. Water Characteristics

3.1.1. Evapotranspiration (ET_a) and Water Saving (%)

The full and deficit irrigation treatments F, D₁, and D₂ saved water by 28, 43, and 50% in comparison with the control. The treatments in sensitive growth stages of S₃, S₄, and S₅ achieved water savings of 62, 44, and 38% compared to the amount of water, which was added by the farmers.

In general, ET_a increased with increasing irrigation quantity and the seasonal crop ET_a was higher at higher irrigation levels than the deficit irrigation levels. Seasonal ET_a in 2011 ranged from 689 mm under the farmer's practice to 314 mm for S₃ treatment (Table 6). The seasonal crop evapotranspiration of full irrigation treatment was higher than irrigation in sensitive growth stages of S₅, S₄, and S₃ by 13.7, 20.7, and 63.3% in the growing season.

Table 6.

The relationship between the irrigation treatments and water characteristics of wheat.

Water treatments/water characteristics	Irrigation mm	ETa mm I + P ± ∆S∗	IWUE (kg/m3)	WUE (kg/m3)	Eamid (%)	Eaend (%)	Saving water (%)
(1) D1 (80%)	322	433d	0.79a	0.59a	51.2b	57.1b	43
(2) D2 (70%)	282	389f	0.74ab	0.53a	54.6a	59.6a	50
(3) F (100%)	403	513b	0.72ab	0.57a	43.2c	46.9c	28
(4) 3 irrigations (S3)	213	314g	0.55bc	0.37ab	31.8f	32.7g	62
(5) 4 irrigations (S4)	314	425e	0.58bc	0.43ab	33.8e	36.1f	44
(6) 5 irrigations (S5)	346	451c	0.63b	0.48ab	33.7e	45.0d	38
(7) Control (C)	566	689a	0.39c	0.32b	37.8d	41.5e	—

The similar letters mean that treatments do not have significant differences; ^∗ ± ∆S is change in soil water storage.

The five-irrigation treatment (S₅) dominated significantly on other treatments (except full irrigation and farmer practice) in ET_a with the rate of 451 mm/season. The grain yield differed depending on the irrigation scheduling and wheat growth stage; these results are in agreement with previous findings [18].

3.1.2. Irrigation and Water Use Efficiency (IWUE–WUE)

Regarding water use efficiency, significant differences were found among irrigation regimes owing to a considerable decrease in grain production. The deficit irrigation (D₁ = 80% FC) outperformed other irrigation regimes by achieving water use efficiency values of 0.79 and 0.59 kg/m³, respectively, followed by F and D₂ treatments. The highest grain production by D₁ might be attributed to its superior performance compared to other irrigation levels and control. The analysis of results in the study year revealed that the treatment received irrigation at 5 growth stages. S₅ increased IWUE and WUE by (8.6, 14.5%) and (11.6, 29.7%) as compared by S₄ and S₃ treatments, respectively. IWUE variations of the treatments were higher than WUE, depending on the relative relationships between grain yield and applied water amount (Table 6). Those findings are in contradiction with the conclusions of Farre and Faci [14], who stated that water use efficiency decreased with decreasing irrigation. Similar studies reported that the highest WUE occurred in DI₇₅ instead of full irrigation because the relatively lower yield under deficit irrigation and IWUE increased with decreasing irrigation amount and/or water use [11, 13, 42–44]. On the other hand, the results are not in line with the findings of Ul-Allah et al. [45], who stated that WUE under water deficit conditions was higher in comparison to well-irrigated conditions.

3.1.3. Water Application Efficiency in the Midseason and End Season Stages (Ea_mid-Ea_end)

Water application efficiency in the midseason was significantly differenced among irrigation levels (Table 6), where 70% of FC remained unmatched (54.6%) at sensitive stages. Applying smaller water amounts can reduce deep percolation losses and improve this irrigation efficiency. Hence, the increase of application efficiency under deficit irrigation treatment 70% (D₂) was due to increased water stress that prevented water loss to deeper layers of soil compared to other treatments. These results are consistent with previous findings [46].

Through the end season stage, it was observed that the differences in the moisture content before and after irrigation became lower compared to the midseason stage (Table 6). The treatments of deficit and full irrigation and S₅ dominated significantly over the control. The deficit irrigation, especially D₂ achieved the highest application efficiency (59.6%) at the end season, while the corresponding value for control treatment was 41.5%.

3.2. Crop Characteristics

3.2.1. Yield and Yield Components

Full irrigation achieved the highest grain yield (2.93 ton/ha) and the lowest value under irrigation in three growth stages S₃ (1.18 ton/ha) during the growing season. Similar results were reported by Sezen and Yazar [47], who reported the highest grain yield of wheat was attained from full irrigation and the lowest yield was obtained from the rain-fed treatment. These results are in line with the findings of previous studies [22, 44, 48] which reported that grain yield reflected strongly high sensitivity to water stress conditions, where full conventional irrigation treatment achieved significantly greater grain yield compared to full irrigation at flowering and grain filling stages.

Data regarding deficit irrigation at different growth stages showed that water deficiency at planting, tillering, and stem elongation stages (S₃) reduced wheat yield by 35.5 and 46.1%, respectively. The full and deficit irrigation 80% (D₁) surpassed other irrigation regimes in terms of grain yield. The reduction of grain yield under the irrigation treatment S₃ could be due to the crop sensitivity to water stress during flowering and grain filling periods in which this treatment of S₃ was not irrigated in these periods. The results are in agreement with the findings of Tari [19], who recommended that water deficit should be applied in the grain filling stage of wheat to reduce the yield losses.

Moreover, it was noted that irrigation at the grain filling stage (S₅) enhanced total biomass yield by 10.4 and 23.4% as compared to S₄ and S₃, respectively. It was noticed that decreasing irrigation requirement from 322 mm in D₁ to 282 mm in D₂ led to the remarkable difference in biomass yield that equaled to 1.4 ton/ha. The full irrigation treatment produced the highest value of 13.2 ton/ha, whereas the dry matter yield value reached to 11.9 ton/ha under control. The reason for the enhancement of the biomass yield under the full irrigation might be due to the capability of this treatment to keep the soil moisture for a long period which makes the roots spread in a larger area and deeper depth in soil. These results were in agreement with the previously reported findings [12].

Weight of 1000 grain is one of the most prime factors, which contribute to grain yield under irrigated and rain-fed conditions. The full irrigation (F) significantly enhanced 1000 grain weight (9.3%) in comparison to farmer's practice; however, the control treatment had higher 1000 grain weight than the S₅ treatment with a slight difference of 1.8%. No significant difference was observed between deficit irrigation treatments, where the treatment D₁ recorded 45.5 g. However, significant differences were recorded between irrigation treatments at sensitive growth stages.

The findings of the present study revealed that there is a strong positive relationship between 1000 grain weight and grain yield of wheat. In S₄ and D₂ treatments, grain yield reduction reached to 28.5 and 17.9% compared to deficit irrigation D₁ which resulted in reductions by 22.4 and 6.3%, respectively. The response of 1000 grain weight differed depending on water application to wheat. Similar results were confirmed by previous studies [20, 49, 50] which stated that the response of 1000 grain weight to irrigation strategies differed depending on the irrigation levels and at which wheat growth stage it was applied.

The results of several grains per spike are presented in Table 7. The decrease in grain yield was a result of the decrease in yield components. The results of the study indicated that a decrease of water deficit from full irrigation towards 70% led to an obvious reduction in grain yield and grain number/spike by 28.3 and 10.3%. There was no significant difference between the deficit irrigation treatments and irrigation regimes in sensitive growth stages where the values of this character were with a medium average under the treatments of D₁, C, and S₅. The full irrigation treatment appeared with a slight increase of 44.55 grain/spike. These results are in a general agreement with the previous findings which reported that grain yield was directly correlated to yield attributes [25, 26].

Table 7.

Yield and yield components, protein ratio, and yellow rust infection in different irrigation treatments.

Yield characteristics/treatments	Grain yield (ton/ha)	Biomass yield (ton/ha)	1000 grain weight (g)	No. of grains/spike	Relative yield (%)	Protein ratio (%)	Yellow rust infection (%)
(1) D1 (80%)	2.56a∗	12.7ab	45.5ab	44.4	14	14.4d	50ab
(2) D2 (70%)	2.1ab	11.3ab	42.6b	39.9	-6	15.9a	30bc
(3) F (100%)	2.93a	13.2a	47.9a	44.5	31	13.6f	53.3ab
(4) 3 irrigations (S3)	1.18b	9.4b	29.4d	38.2	-47	15.5b	13.3c
(5) 4 irrigations (S4)	1.83ab	10.5ab	35.3c	39.1	-18	14.8c	15c
(6) 5 irrigations (S5)	2.19ab	11.6ab	43.0b	42.9	-2	14e	38.6b
(7) Control (C)	2.24ab	11.9ab	43.8b	44.4	—	13.1g	58.3a

^∗The similar letters-treatments have no significant differences.

3.2.2. Protein Ratio and Yellow Rust Infection

Water stress resulted in higher protein content as 70% FC recorded the highest protein (15.9%) which was significantly higher than control (13.1%). On the other hand, water deficit under 70% treatment D₂ reduced the grain yield to 28.3% of full irrigated treatment, but it increased protein content by 16.9% over the full irrigation. Application of irrigation in grain filling stage under D₂ and D₁ caused an increase in protein content about 13.5 and 2.8% over the nonirrigation at this stage, S₅. These results are in contrast to the findings of Tari [19], who found that irrigation applied at milking stage increased the protein ratios, while the maximum protein content was recorded for full irrigation. It can be concluded that there is a negative relationship between grain protein content and yield as well as irrigation quantity and protein content. The results also are in agreement with the previous conclusions [23, 24, 49] that reported a positive response between the quality parameters such as protein content, wet gluten content and sedimentation volume, and water stress.

The incidence of yellow rust started to appear during the grain filling stage, and its severity multiplied with increasing water application (Table 7). The type of disease reaction (infection type) was described as MS (moderately susceptible). The farmer irrigation practice (which recorded the highest irrigation amount) dominated significantly on all irrigation treatments (except F and D₁ treatments) with an average severity of 58.3%; however, the lowest rust severity of 13.3% was recorded in S₃ irrigation treatment.

It was observed that the low irrigation frequency treatment of stopping irrigation during heading and seedling stages (S₃) decreased the yellow rust infection with differences of 25.3 and 40% compared to irrigation treatments of S₅ and F. The increased irrigation amounts under full irrigation treatment (F) or high irrigation frequency (S₅) resulted in higher soil content in the active root zone area and lead to a noticeable increase in humidity around the plants, consequently raising the rust infection ratio. Similar results were reported by Gao et al. [51]. It means that increasing the applied water quantity led to an increase in grain yield and generated good conditions to increase the stripe rust infection. These results are in conformation with previous reports [32, 34, 36] whereby irrigation rationalization and use of high resistant genotypes to yellow rust were recommended. On the other hand, this topic still needs more future studies for better understanding the relationship between irrigation and rust infection and other factors such as physiological and environmental factors and their effects on wheat production.

3.3. The Relationships between Yield, Yield Components, Applied Water, Protein Content, and Stripe Rust Infection

The relationships between grain yield and yield components (biomass yield and 1000 grain weight) are depicted in Figures 1(a) and 1(b)). In general, the biomass and thousand grain weight correlated significantly and positively (P < 0.01) with grain yield. The linear relation reflects the strong effect of yield components on developing wheat grain yield. The simple regression equation of grain yield showed a high determination coefficient of 0.97 and 0.92 against biomass yield and 1000 grain weight. Similar results were reported by Ahmadizadeh et al. [52] who stated that wheat grain yield showed positive and significant correlation with 1000 grain weight under normal and stress conditions. These results also are in agreement with other studies [53, 54], which stated that increasing grain yield was noted with increasing biomass yield.

Figure 1.

The relationships between (a) grain yield–biomass yield and (b) grain yield–1000 grain weight.

Regarding the regression analysis, stripe rust infection was considered as an independent variable. So, protein content was graphed as a function of stripe rust infection (Figure 2(a)). For the response of protein content to stripe rust severity, a linear and negative correlation was observed (r = −0.78) which means that when the disease severity of stripe rust increased, the protein content decreased. The results can be used to produce high grain protein quality via using resistant wheat varieties to stripe rust disease.

Figure 2.

The relations between (a) stripe rust infection–protein content and (b) protein content–applied water.

The statistical analysis indicated that negative and significant correlations were detected and the grain quality of protein content responded well to applied water quantity in the root zone with a correlation coefficient value of -0.87 (Figure 2(b)). Similar findings were stated by Oury and Godlin [55], who reported that the protein contents have significant negative correlations with grain yield and thousand kernel weights under normal and stress conditions. It is known that yield reduction that generally occurs under water stress conditions is generally associated with an increase in the protein content [56–58].

4. Conclusions

The study was conducted to rationalize irrigation water and reduce the incidence of yellow rust under arid conditions. It was inferred that full irrigation achieved water saving of 28% and significantly increased grain yield (31%) compared to control. Among deficit irrigation regimes, 70% FC achieved water saving of 43% with a 14% increase in grain yield. The deficit irrigation treatments D₁ and D₂ attained water saving by 20 and 30%, respectively, in comparison with full irrigation; however, the irrigation treatments at critical stages of S₃, S₄, and S₅ saved water by 47, 22, and 14%, respectively, in comparison with the full irrigation. Deficit irrigation D₁ resulted in the highest irrigation and water use efficiency. Stopping irrigation at the milky stage (S₅) led to a significant reduction in application efficiency at midseason and end season in comparison with the deficit and full irrigation. However, irrigation regimes at sensitive stages of S₃ and S₄ imparted resistance to rust which recorded the lowest severity infection by yellow rust in comparison with the other treatments.

Data Availability

All the data supporting this study are included in the article.

Conflicts of Interest

All authors declare that there is no conflict of interest.