Research Article | | Peer-Reviewed

Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso

Received: 4 August 2025     Accepted: 16 August 2025     Published: 2 September 2025
Views:       Downloads:
Abstract

In Burkina Faso, supplementary irrigation is promoted as a strategy to overcome the uncertainty of rain and increase sustainably rain-fed rice yield. However, in the actual water scarcity context and the decline of rain water, high productivity cannot be achieved regardless to water use efficiency. Therefore, an experiment was conducted to identify optimal supplemental water depth that increases both water productivity and water savings while minimizing yield losses. Four replications of a randomized block design were implemented and three supplemental water depths of D5cm, D7.5cm and D10cm were field-evaluated against farmer’s irrigation water depth (FIWD). In D5cm, D7.5cm and D10cm treatments, water was applied once a week in case of no rain. In FIWD treatment, irrigation was supplied daily excluding the day of rain. The results revealed that water stress duration and amplitude increased with the decrease of water depth. Severe, moderate and low water stress were recorder in D5cm, D7.5cm and D10cm respectively while no stress was registered in FIWD. The severe water stress induced by D5cm diminished plant height, and the number of tillers by 11% to 3% respectively; while slight (D10cm) and moderate (D7.5cm) stress did not affect the growth. Comparable yield was obtained in D7.5cm (3.130 tha-1) and FIWD (3.279 tha-1). The application of 7.5cm of water yielded the highest gain of water saving (438 m3kg-1). We argue that the weekly supply of 7.5cm water depth can be suggested as a sustainable practice in semi-arid regions.

Published in American Journal of Water Science and Engineering (Volume 11, Issue 3)
DOI 10.11648/j.ajwse.20251103.12
Page(s) 60-73
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Rice Yield, Supplementary Irrigation, Water Productivity

1. Introduction
Rice is the most consumed food in the world ; about 3.5 billion people rely on rice which provides almost 20% of the daily required energy . It is predicted that the increase of 40% in rice production is required to match the demand in 2030 while yield has dropped below 1% over the past decade . In Burkina Faso, rice is becoming an important staple food crop . Consumers’ demand has increased faster in the last decades compared to other cereals with a growth rate of 3% every year .
In Burkina Faso, rice is mostly produced in the rainy season on almost 87% of total rice areas, but only 47% of the demand is covered by national production; rain-fed rice yields remain low and vary from 1.2-2 tha-1 due to the instability of rainfalls. In the rain-fed rice farming system, rainfall is the main source of water but, rainwater is not able to secure rice production. There is an urge gap between rainwater and rice water demand. In rain-fed conditions, not enough water can be assured for the rice field due to the irregularity of rainfall . The rice crop is frequently subjected to insufficient rainwater supply ultimately affecting crop yield and productivity.
Rainfall variability and frequent drought spells have become the key warning to achieving food security and increases vulnerability of farmers. The variation in rainfall patterns coupled with frequent drought spells in rain-fed agriculture induces poor rice yields and low production . Farmers failed in achieving high production due to inadequate water supply and inappropriate time of application . As demand is growing rapidly, the increase of rice yield is vital .
Numerous drought mitigation techniques and practices in rain-fed agriculture have been developed and validated. Of these, supplementary irrigation has been reported as one of the best alternatives to overcome water stress for increasing and/or maintaining rain-fed rice yield . It is as a countermeasure to the unpredictability of rain during crop growing periods opined that, in rainy season, supplementary irrigation is vital for rice growth.
In supplementary irrigation practice, extra water is provided to cover up the shortage of rainfalls. The suitable scheduling of supplementary irrigation during dry spells should increase or stabilize crop yield . Contrary to full irrigation, the water depth and the application time cannot be estimated in advance. Additional water is just applied to provide minimum water to crop at sensitive stages but, not to create soil moisture-stress-free conditions. This practice has attracted the most attention in semi-arid regions of Sub-Sahara especially in Burkina Faso.
Nowadays, the Government of Burkina Faso is responding to the increasing rice demand by addressing the drought spell through the promotion of supplementary irrigation. The technique is adopted country-wide and irrigation is applied without awareness to a suitable water amount, application timing and the rainfall amount during growth stages. Consequently, productivity remains low with high pumping cost, underscoring the need to increase domestic rice production. Yield gain is low largely attributed to ineffective rainwater use options as well as low supplemental water productivity. Enhancing both rainfalls and supplemental water use efficiency should help in improving rain-fed rice performances while saving more water for dry season cropping.
In order to boost up rice production, it is vital to deal with the water scarcity and resources use efficiency. mentioned the emergency of saving water while increasing the efficiency of water use. Moreover, the analysis of investment return cost in semi-arid Burkina Faso has shown that irrigation is beneficial only if farmers are able to produce vegetable in the dry season after supplementary irrigated cereals . Saving water through increase water productivity should increase farm profitability.
Since rainwater decline affects the amount of water stored for the use during rainy and dry seasons, double cropping should be possible solely if water is efficiently used first for supplementary irrigation. The performance of crops and the cropping pattern depend on the efficient utilization of supplemental water . Emphasis should be placed primarily on the effective use of supplemental water. The effectiveness of supplemental irrigation is driven by the amount of water and the time of application. High water productivity cannot be achieved regardless of irrigation depths and application time . The application of water is a key factor guiding the agriculture growth in arid and semi-arid regions . Finding out suitable water depth should help increasing water productivity and optimizing yield. Supplementing the appropriate amount of water is very vital in stabilizing yields, and increasing gross production .
Therefore, effective water depth that may optimize the use of water, while enhancing yield should be determined so to help setting up a suitable supplementary irrigation program and improving profitability. Evaluating different water depth regarding rain occurrence in comparison with farmer irrigation practice of farmers, should help identifying a suitable water level that increases farm and water productivity for sustainable rain-fed agriculture. To our knowledge, literature related to such approach is barely accessible. The objective of the current study is the optimization of supplemental water by testing different depths of irrigation to secure rain-fed rice production, improve water productivity and save more water with lesser yield penalty. In term, it may help designing double cropping rice system for achieving high profitability in the dry areas.
2. Methodology
2.1. Nursery Establishment
The nursery was installed on July 23th, 2020 at the experimental field. Land was soaked at soil saturation and manually tilled at 10cm depth. Seed-bed was leveled at 0.15m height. Two nurseries with a total area of 10m2 were installed close to the experimental plots. Seeds were then manually broadcast (50kg of seeds per hectare). The seed bed was then covered with a fine layer of soil (1cm) and a rice straw of 1cm height. One extra nursery was also established to eventually replace dead plantlets. The irrigation water was applied at 2 days interval up to the appearance of seedlings. After the emergence of seedlings, water was supplied when needed until transplanting.
Figure 1. Sketch of experimental design (A) and water tube for the monitoring of soil water depth (B).
2.2. Site Location, Experimental Design, Land and Crop Management
The trial was carried out from July to November 2020 at “Bagré” irrigated area. The site was located at 11.30° (N) and 0.25° (W). The soil was sandy loamy (65% of sand, 18% of silt and 17% of clay) with a wilting point of 12% volume; field capacity 21.5% volume; saturation 33.33% volume; bulk density of 1.69gcm-3 and infiltration rate at 25mmh-1 . The trial design (Figure 1) was a randomized complete block. Four replications were set up with four water treatments (D5cm, D7.5cm, D10cm, and FIWD) corresponding to the application of 5cm, 7.5cm, 10cm and 12.5cm water depth respectively. The treatment FIWD was farmer irrigation water depth. The total area of each plot was 9 m2 with a soil bed height of 0.3m. The distance between plots and between blocks was 2m.
The land was soaked at soil saturation on August 5th 2020 and tilled at 15cm depth two days later. The bunds were well compacted at 30cm height to reduce nonproductive water (seepage and over bund runoff) losses. Plots were leveled and irrigation was applied at 5cm ponded water depth on August 13th. Twenty-one-day old plantlets were manually transplanted one plant hill-1the same day at the hill spacing of 25cm x 25cm. Rice was a new perfumed lowland variety named «Farakô-Ba rice 84 (FKR 84).
Fifteen days after transplanting, NPK fertilizer (14: 23: 14), was applied at the rate of 200kg/ha. 50kg/ha and 100kg/ha of urea (46%) were applied, respectively at active tillering and panicle initiation. Pesticides were applied when needed with the required amount for specific pests. Weeds were frequently hand controlled.
2.3. Irrigation Water Management
After transplanting, water was daily applied at soil saturation in all plots for the adaptation of seedlings. The required water depth was determined using the following Eq. (1):
Wdepth=SWCsat-SWCwp×Droot(1)
Where Wdepth is the irrigation water depth (cm) at soil saturation; SWCsat and SWCwp are the soil water content, volume basis (%) at saturation and wilting point, respectively; while Droot stands for root depth (cm).
Two weeks after transplanting on August 27th, the interval of irrigation was settled at 7 days and supplementary water was applied once a week in treatments D5cm, D7.5cm, and D10cmwhen there was no rain. In case of rain during the week, irrigation was postponed to the following week. For Africa countries, the short dry spell lengths are defined to be shorter than 10 days . In farmer practice treatment (FIWD) irrigation depth of 12.5cm was daily applied except when rain occurred as commonly done by farmers. Irrigation ended a week before the harvest.
During land leveling, plastic tubes were placed in the middle of each plot to control the application of water. Tubes were buried so that 5cm, 7.5cm, 10cm and 12.5cm of its length protrudes over the soil surface corresponding to D5cm, D7.5cm, D10cm, and D12.5cm, respectively. The desired water depth was applied accordingly.
2.4. Soil Water Fluctuation Measurement
After land preparation, water tubes, described and suggested by , were placed to observe soil water fluctuation during the production cycle. Water tubes were installed near the bund at 1 m away and buried vertically at 30cm into the soil. The variation of the soil water was daily recorded in the morning at the same time using a ruler. The measurement was taken from the water surface in tubes to the tip of the tube. In this study we considered the decrease of water up to 15cm as a threshold under which rice crop is subjected to water stress with yield decline . The soil water (mm) at the threshold and the measurement times was defined according to ; then the soil water stress coefficient was determined according the Eq. (2) :
Ks=SWTSWST (2)
Where STT and SWST stand for soil water content (mm) at the threshold and time T respectively.
2.5. Plant Growth, Chlorophyll and Heading Rate
Two weeks after transplanting, one-meter square quadrat was installed in each plot at the middle for the measurement of agronomic parameters. Measurements were taken from each hill individually in the quadrat. Sixteen hills were considered.
Thirty days after transplanting, plant growth observations were done every week until panicle initiation. Five measurements were taken on plant height, tillers and leaves number. The height was measured from the base of plants to the tip of apical leaf. The number of tillers and leaves in each hill were manually counted.
The chlorophyll of leaves was determined at panicle initiation, at heading and at the onset of ripening stage using a chlorophyll meter (field scout model). The highest and fully expanded leave was chosen from each of the selected hills. Measurements were done on 16 leaves and three observations were made per leaf on the area located between 40% and 70% along the leaf length from the leaf base .
From the emergence of first panicles, headed panicles were daily counted from each quadrat until 50% of the farm headed; the heading rate was then analyzed.
2.6. Yield Components
At harvest, the sixteen hills from each quadrat were individually harvested and tillers were counted. Panicles from each hill were cut at the base and separated from the straw. The panicles were then individually counted and weighted to obtain both the number and weight.
Five hills were randomly picked in each quadrat and yield components such as the length of panicle, the number of grains, grain weight per panicle and filled grain per panicle were determined following the method described by . Selected panicles from each quadrat were individually measured to determine the maximum length (lengthmax) and the minimum length (lengthmin). The range (lengthmax - lengthmin) was then calculated. The class interval was obtained by dividing the range by the desired number of classes. Three classes of length were considered and panicles were ranged accordingly. Five panicles were randomly picked from each class, and the length was measured. Fifteen panicles were considered per plot.
Each panicle was manually threshed and the grain counting machine was used to determine the number of grains per panicle. The grains were oven dried at 70°C for 72 h and the grain weight per panicle was determined at a constant weight. A seed blower was used to separate the filled and the unfilled spikelet. The filling percentage per panicle was obtained by dividing the weight of filled grains to the total weight of grains multiplied per 100.
Five samples of 1,000-grains were randomly picked from each selected hill to determine the weight.
2.7. Yield, Straw Weight and Yield Losses
For grain yield and the straw weight, all the hills of quadrats were considered. Grain and the straw weight were determined per hill and yield (tha-1) was estimated using following Eq. (3) and Eq. (4):
GY=GWhill×16 10-2 (3)
SW=SWhill×16 10-2 (4)
Where GY and SW represent the yield (tha-1) and the weight of straw (tha-1) respectively, while GWhill and SWhill stand for grain weight (g) and straw weight (g) per hill respectively.
Yield losses (YL) were determined considering the yield in FIWD treatment as a control. YL were obtained using the following Eq. (5):
YL=YFIWD-YXYFIWD×100 (5)
Where YL is the yield losses (%); YFIWD and YX expressed yield (t/ha) in FIWD and X treatments respectively.
2.8. Irrigation Water Use Efficiency
The irrigation water productivity (IWP) and the total water productivity (TWP) was determined the following Eq. (6) and Eq. (7) :
IWP=GYIW (6)
TWP=GYTW (7)
Where WP and TWP are the irrigation water productivity and the total water productivity (kg/m3), GY represents the yield (kg/ha), IW and TW stand for irrigation water and total water used (m3) respectively.
The irrigation water saving was estimated based on the approach described by . The amount of water used in the FIWD treatment was supposed to be a control, and the water saving (%) was the ration of irrigation water in each treatment and the irrigation water in FIWD multiplied by 100.
2.9. Ratio Gain Loss (RGL)
In our study, we defined a ratio gain-losses as the amount of water (m3) saved per kilogram of yield lost considering the yield and irrigation water in farmer irrigation treatment as the reference. RGL was used to identify the suitable water depth and was obtained using the following Eq. (8):
RCLX=IWFIWD-IWXYFIWD-YX (8)
Where RGLX is the ratio of water saved by losing one kilogram of rice in treatment X expressed in m3/kg; IWFIWD and IWX are irrigation water (m3/ha) used in the farmer and in X treatment, respectively, YFIWD and YX stand for yield (kg/ha) in the farmer treatment and in the X treatment respectively.
2.10. Statistical Analysis
The data were submitted to statistical analysis, including the analysis of variance, and correlations by employing the SPSS 18 software (IBM, Armonk, New York, United States). The significance of the effect of treatments was captured using F-test. The means of treatments were separated using Duncan’s test at 95% level of confidence.
3. Results
3.1. Environment Conditions
Figure 2A illustrates environmental conditions (rainfalls, maximum and minimum temperature) and crop water requirement and effective rain (Figure 2B). Climatic data were recorded from the meteorological station located in the production area. Effective rainfall was estimated using the method defined by the United States Department of Agriculture, Soil and water Conservation (USDA-SC). The crop water requirement was estimated using the standard approach of Penman-Monteith by running the FAO-CROPWAT 8.0 software.
The climate of the study area is characterized by three main seasons (a rainy season, a cold and dry season and a hot and dry season). The rainy season occurs from July to October, followed by the cold and dry season from November to February, and a hot dry season from March to June . The highest values of maximum (40.1°, 39.7° and 37.7°) and minimum (26.9°, 26.2° and 24.6°) temperatures were registered during the hot and dry season meaning that the highest evapotranspiration occurred at that specific period. Along cropping period, rainfalls occurred from August 13th to September 10th with the highest values of 400, 300 and 300m3/ha recorded respectively on August 16th, 29th and September 11th corresponding to the vegetative stage. During the vegetative stage, the amount of 2480m3/ha of rain was registered whilst only 550m3/ha of rainfalls were registered from vegetative to panicle initiation. The crops were grown exclusively under irrigation from the sensitive stage (from panicle initiation to maturation) to harvest. From transplanting to harvest, rainfalls did not fulfill the crop water requirement; only 48% of water demands were covered by effective rain meaning that rice could not grow under rain-fed conditions without supplement water.
Figure 2. (A) Sketch of monthly rainfall, maximum and minimum temperature and effective rainfalls and crop evapotranspiration (B) in the study area.
Figure 3. (A) Soil stress coefficient variation at the vegetative stage, (B) from the panicle initiation to the heading stage and (C) from the heading to the harvest.
3.2. Soil Moisture Trends
Figure 3 shows the fluctuation of soil stress coefficient over the three growth stages. During the cropping period, the soil stress ranged from 1 to 0.83 and varied according to the irrigation water depths and growth stages. No water stress (Ks =1) occurred in the FIWD treatment in any of the growth stages; whilst the stress duration and its amplitude differed in other investigated water depths and in different growth phases.
During the vegetative stage (Figure 3A), 1 day of stress was recorded in both D7.5cm and D5cm while no stress was observed in D10cm; then the crops were grown stress free in FIWD and D10cm, but they were subjected to slight stress in D7.5cm and D5cm. From the panicle initiation to the heading stage (Figure 3B), the highest stress duration (5 days) and the highest amplitude (0.926) was given by D5cm treatment followed by D7.5cm with the duration of 1 day and the amplitude of 0.93. The lowest stress amplitude of 0.99 on average was registered in D10cm for 2 days.
During the reproductive stage (Figure 3C), the crops were submitted to relatively high, moderate and slight stress in D5cm, D7.5cm and D10cm respectively. From heading to harvest, the stress duration of 7 days, 5 days and 1 day were respectively recorded in D5cm, D7.5cm and D10cmwith the amplitude of 0.89, 0.928 and 0.92 in average. The crops faced sharper stress in D5cm treatment but were subjected to moderate and slight stresses in D7.5cm and D10cm.
Alongside the crop cycle, the stress was heavier at the ripening stage while moderate and slight stress was observed at the reproductive and the vegetative stages respectively. The crops stand longer under stress in D5cm (13 days), but they were subjected to medium and shorter time of stress in D7.5cm (7 days) and D10cm (3 days) respectively. At that range the water stress was defined to be severe, moderate and low . The decrease of supplementary water depths by 60% (D5cm), 40% (D7.5cm) and 20% (D10cm) induced severe, moderate and low stress in respectively D5cm, D7.5cm and D10cm.
Figure 4. (A) Effects of water treatments on the plant height, (B) the number of tillers, (C) the number of leaves and (D) the chlorophyll index at different growth stages.
3.3. Plant Growth and Chlorophyll Content
The growth parameters illustrated in Figure 4 indicate that the plant height, the number of tillers, the number of leaves and the chlorophyll content were affected by supplementary water variation. From the initial stage to panicle initiation, higher values of the plant height (Figure 4A), the number of tillers (Figure 4B) and the number of leaves (Figure 4C) were notable in higher water treatment while lower values were recorded in lower water depth of 5cm. Intermediate values were registered in D7.5cm and D10cm showing a difference between treatments at panicle initiation.
The irrigation water restriction decreased plant height by 11%, 8% and 4% in respectively D5cm, D7.5cm and D10cm when compared to farmer irrigation water depth. The number of tillers were reduced by 31%, 12% and 5%, respectively in the same treatments. For the number of leaves, the decrease of 23%, 7% and 5% was registered. From the heading to the onset of the ripening stage, leaves chlorophyll content (Figure 4D) decreased in all treatments with lower values registered in D7.5cm and D10cm while higher values were notable in FIWD with no significant difference (p = 0.48) with D5cm. At ripening stage, reduction in chlorophyll by 14% was observed with the restriction of water in D7.5cm and D10cm. However, the severe water decreases in D5cm increased the chlorophyll content by 10% when compared to the average in both D7.5cm and D10cm.
3.4. Effects of Water Treatments on Panicle Emergence
Figure 5 illustrates the incidence of the variation of water depths on heading. Daily headed panicles per square meter were affected by water reduction. The number of cumulative headed panicles increased within the time for all treatments, but the number of panicles in FIWD and D10cm was significantly higher (p = 0.01), and the emergence was faster compared to D7.5cm and D5cm. The lower number was recorded in D5cm, while intermediate values were registered in D7.5cm. The supplementary water decreases by 5cm and 7.5cm resulted in the reduction of average headed panicle by 90% and 20% in D5cm and D7.5cm, respectively.
Figure 5. Effect of supplementary irrigation on panicles heading rate.
3.5. Yield Components and Yield Analysis
The number of tillers and panicles, the panicle weight and the length were notably affected by water treatments (Table 1). The sharper impact of water restriction was observed in D5cm; the decrease of these parameters by 16%, 12%, 17% and 4%, respectively, was notable compared to FIWD. No significant impact was observed for the tiller number in D7.5cm and D10cm and the panicle number in D7.5cm, while any decrease of water induced the reduction of panicle weight and length referred to FIWD. The decrease of panicle weight by 19% and 5% and panicle length by 5% and 4% was observed in D10cm and D7.5cm respectively.
Table 1. Effect of treatments on the number of tillers, the number of panicles, panicle weight and length at harvest.

Treatments

Tiller number per hill

Panicle number per hill

Panicle weight (g)

Panicles length (cm)

D5cm

13.11 ± 0.46b

11.11 ± 0.41b

1.65 ± 0.05cb

25.60 ± 0.24b

D7.5cm

15.25 ± 0.56a

12.28 ± 0.43ab

1.79 ± 0.06b

25.62 ± 0.26b

D10cm

15.41 ± 0.53a

13.17 ± 0.47a

1.61 ± 0.05c

25.33 ± 0.25b

FIWD

15.56 ± 0.57a

12.64 ± 0.46a

1.98 ± 0.07a

26.79 ± 0.26a

Probability

<0.01

<0.05

<0.000

<0.000

Significance

**

*

***

***

*** Means within columns not followed by the same letter are significantly different at p < 0.001level by Duncan’s test
** Means within columns not followed by the same letter are significantly different at p <0.01 level by Duncan’s test
* Means within columns not followed by the same letter are significantly different at p <0.05 level by Duncan’s test
Water treatments significantly affected grain weight, grain number per panicle and 1,000-grain weight, but the grain filling rate was not impacted (Table 2). The highest values of these parameters were observed in FIWD. The results were similar for the number of grains in FIWD and D7.5cm. The reduction of water depth led to the decrease of grain weight and grain number by respectively 22% and 19% in D10cm when compared to FIWD. For 1000-grain, 4% of the weight was lost in D5cm, D7.5cm and D10cm.
Table 2. Effects of irrigation water on grain weight, grain number, 1000-grain weight and the filling percentage at harvest.

Treatments

Grain weight per panicle (g)

Grain number per panicle

1,000-grain weight (g)

Grain filling rate (%)

D5cm

1.66 ± 0.07ab

86.62 ± 3.35ab

19.79 ± 0.19b

97 ± 0.69a

D7.5cm

1.59 ± 0.09ab

88.45 ± 5.03a

19.73 ± 0.23b

97 ± 0.67a

D10cm

1.42 ± 0.07b

75.43 ± 3.01b

19.86 ± 0.21b

96.18 ± 0.72a

FIWD

1.83 ± 0.1a

93.18 ± 4.83a

20.65 ± 0.23a

96.78 ± 0.57a

Probability

<0.01

<0.05

<0.05

0.803

Significance

**

*

*

ns

* Means within columns not followed by the same letter are significantly different at p <0.05 level by Duncan’s test
** Means within columns not followed by the same letter are significantly different at p <0.01 level by Duncan’s test
ns Not significantly different
Table 3. Effect of water amounts on grain yield, straw weight and yield losses.

Treatments

Grain yield (tha-1)

Straw weight (tha-1)

Yield losses (%)

D5cm

2.623 ± 0.11b

2.62 ± 0.96c

20.01a

D7.5cm

3.130 ± 0.16a

3.18 ± 0.11ab

4.54b

D10cm

2.879 ± 0.15ab

3.05 ± 0.11b

12.20ab

FIWD

3.279 ± 0.14a

3.41 ± 0.13a

-

Probability

<0.01

<0.000

<0.05

Significance

**

***

*

*** Means within columns not followed by the same letter are significantly different at p < 0.001level by Duncan’s test
** Means within columns not followed by the same letter are significantly different at p <0.01 level by Duncan’s test
The results of yield, illustrated in Table 3, show that grain yield, straw weight and yield losses were significantly impacted by water treatments. Grain yield was reduced by 20% in D5cm; while D7.5cm produced similar results to FIWD. D10cm exhibited intermediate value. The straw weight decreased by 23% and 11% in D5cm and D10cm respectively, whilst D7.5cm produced comparable results to FIWD. The yield losses were 4.4 times and 2.68 times more in D5cm and D10cm respectively compared to D7.5cm.
3.6. Water Productivity
The irrigation water and the total water use efficiency is highlighted in Figure 6. The highest water productivity (Figure 6A) was achieved in D5cm followed gradually by D7.5cm and D10cm; while the lowest water use efficiency was induced by FIWD. The reduction of irrigation water increased the efficiency of water utilization 11 times, 10 times and 7 times more in D5cm, D7.5cm and D10cm (Figure 6B).
Figure 6. (A) Effects treatments on irrigation water and (B) effective rainwater productivity.
Figure 7. (A) Effects treatments on irrigation water-saving and (B) ratio gain-loss.
The results of the impact of water treatments on water economy are illustrated in Figure 7. It is shown that water savings and the ratio gain-loss were significantly affected by water reduction. The reduction of irrigation water led to the increase of water savings by 94%, 91% and 89% in D5cm, D7.5cm and D10cm respectively (Figure 7A). The highest ratio of gain-losses (Figure 7B) was achieved in D7.5cm indicating that water saving was more beneficial when applying a supplementary water depth of 7.5cm.
4. Discussion
In this research, rice susceptibility to water stress, due to the decrease of the amount of irrigation water, was observed in growth parameters, yield components and yield reduction and water use efficiency. Changes in the soil stress coefficient in the different supplementary irrigation water regimes have affected rice crop growth, yield and yield components resulting in water productivity. The increase of the stress coefficient of the soil due to the irrigation water decrease has induced slight, moderate and severe water stress in D10cm, D7.5cm and D5cm respectively.
The trend of soil stress coefficient indicated that plant in D5cm was mostly affected during the vegetative stage. Severe water reduces growth parameters such as plant height, the number of tillers and leaves through the inhibition of cell elongation. Submitted to severe water stress, the plant gradually closes the stomata and then reduces the evapotranspiration which in turn leads the decline of photosynthesis and the growth suspension or delay. The water stress reduces the water content and the turgor of plants cells; the growth is lowered due to the reduction of the opening of stomata. pointed out that the conductance of stomata was drastically impaired by water stress. The closure of stomata depends on the stress amplitude and duration. Under severe water stress the stomata can completely close relatively to the intensity and the timing of the stress; cell development slows down or ceases and the growth is retarded .
Under low (D10cm) and moderate (D7.5cm) water stress, the degree of stomata closure, may have slightly affected plant growth with a low decrease in plant height, the number of tillers and leaves. The plant may have recovered from insignificant stress and yielded comparable height to FIWD and D10cm; tiller to D10cm and D7.5cm; the number of leaves was similar in FIWD, D10cm and D7.5cm. Under low stress, plants may have developed adaptation mechanisms to overcome water stress through a recovery process. The plants countermeasure to water deficit depends on the time and the amplitude of the water stress. Noticed that the reaction of plants to water decline is based on the stress amplitude and its duration. Confirmed that plants overcame low and moderate water stress induced at the vegetative stage and yielded as well as stress free grown plants, but the stress incidence is observed at the panicle initiation. Demonstrated that plants grown under stress exhibited the lowest emerged tiller and the lowest growth rate, but those under relatively slight water stress had the fastest rate of tiller production.
It is recognized that photosynthesis reduction due to water stress leads to a reduction in chlorophyll. In this study, severe stress in D5cm has increased the chlorophyll content of leaves from panicle initiation to the onset of ripening stage compared to slight and moderate stress. The severe water stress seems to have slightly simulated leaves chlorophyll. Sever water stress adversely affected growth with less significant effect on the chlorophyll content. The adaptation mechanism involved in severe water treatment may have improved the possibility of the plant to better uptake water since water is the most limiting factor to chlorophyll. Sharper water stress should have developed roots which maximize water capture and allows access to relatively deep water and, in turn improved water absorption by the plant leading to the increase of the chlorophyll content. reported that, when subjected to sharp severe water stress, the plants improved root length and volume; the plant extracted faster water in depth and yielded comparable chlorophyll to stress free grown plants. Similarly, underlined that, under water stress, the possession of the pronounced root system maximized deep water uptake by the plant.
Moderate and severe water stress impacted productive tillers causing a significant decrease in headed panicle per square meter; while slight stress did not affect the emergence of panicle. Despite the fact that growth was not impaired by moderate stress, the heading rate was sensitive to both moderate and severe stress. Maintaining the stress moderate or severe until the reproductive stage increased its duration and have prolonged its effects and, then delayed the heading rate. Keeping the water stress up to the reproductive stage was crucial for the emergence of panicle; the heading rate retarded and the number of headed panicles lowered. The long duration of moderate stress may have retarded the recovery process of the plant in D7.5cm and the reduction of water induced a decline of the number of headed panicles. Mentioned that the plant was not able to faster recover from prolonged moderate stress at panicle initiation, but the recovery effects should be observed at the harvest. By delaying plant growth, the number of tillers and leaves, severe stress in D5cm led to the highest decrease of emerged panicles. Noticed that severe and prolonged water stress lower the number of panicles. Observed that the reproductive stage was more sensitive to drought stress with the maximum reduction of physiological and agronomic parameters. Confirmed that any water stress during the reproductive stage was more destructive and, the rate of panicle emergence significantly decreased for all evaluated rice genotypes.
At the harvest, yield and its components were significantly affected by water reduction, while the grain filling percentage was not impacted. The moderate water stress treatment (D7.5cm) resulted comparable values to FIWD for the number of tillers and panicles per hill, the number of grain and grain weight and per panicle, the grain yield and the straw weight. Likewise, similar values of the number of tillers and panicles per hill and grain yield were observed in D10cm and FIWD. The slight and moderate water restriction did not markedly affect rice production while severe water stress notably decreased almost all agronomic parameters including yield. The plants may have probably overcome slight and moderate stress, but the long duration and the high amplitude of stress in the lowest water treatment severely diminished yield. However, the highest yield was obtained in moderate water stress treatment when compared to slight water stress. Slight stress did not significantly affect growth parameters, but at term led to the decrease of yield and can be explained by the hydraulic head induced by the application of 10cm water depth. The ponded water depth of 10cm should have induced the infiltration rate which did not match with water uptake by the plant leading to deep percolation and probably leaching and resulted in relatively high yield losses (12.20%). Even though that stress occurred in D7.5cm, it was not so critical and the application of 7.5cm water depth may have coincided in time with water absorption by plants, and hence induced less yield losses (4.54%). when comparing different levels of water on the rice field concluded that such results can be explained by the hydraulic head pressure induced by ponded water depth which affects the infiltration and water uptake, and then optimal deep should be identified accordingly .
Globally, the decrease of supplementary irrigation water depth led to the increase of water productivity. The highest irrigation water productivity (0.65kg m-3), total water productivity (0.43kg m-3) and water saving (94.39%) were obtained in severe water stress treatment. Considering the highest ratio gain-losses (438 m3kg-1) which indicate that the water saving is more beneficial, D7.5cm appeared suitable with less yield penalty. The amount of water saved per kilogram of rice lost is 4.25 times more in D7.5cm compared to D5cm.
5. Conclusion
In our research, we compared three water depths to farmer irrigation practice to find out the suitable supplementary irrigation depth to increase water saving with less yield expenses to face recurrent dry spells in arid climate. The restriction of water led to the increase of the stress coefficient of soil which adversely decreased agronomic parameters depending on the duration and the amplitude of the water stress. The experiment was conducted during one rainy season and may be seen as a limit of the study, but it is clearly shown that good agronomic performances and sustainable water use were recorded in moderate water stress treatment.
The application of 7.5cm water depth at 7 days interval significantly increased the gain of water with the insignificant yield penalty. The evaluation is going to be replicated in other seasons and other climatic zones to better capture the variability of rainfall and agro-climatic effects. We claim that the weekly application of 7.5cm of supplementary irrigation should be implemented in semi-arid conditions of Burkina Faso as a countermeasure to overcome dry spells in rainy season for increasing both productivity and water saving for other purposes which in turn should improve farm outcome and the revenue of farmers.
Abbreviations

D5cm

5cm Water Depth

D7.5cm

7.5cm Water Depth,

D10cm

Application of 5cm Water Depth

FIWD

Farmers' Irrigation Water Depth

IWD

Irrigation Water Depth

SWCsat

Soil Water Content at Saturation

SWCwp

Soil Water Content at Wilting Point

Droot

Root Depth

Ks

Soil Stress Coefficient

SWT

Soil Water Content at the Threshold

SWt

Soil Water Content at Time t

FKR 84

Farakô-Ba rice n° 84

USDA-SC

United States Department of Agriculture, Soil and Water Conservation

FAO

Food and Agriculture Organization

GY

Grain Yield

SW

Straw Weight

GWhill

Grain Weight per Hill

SWhill

Straw Weight per Hill

YL

Yield Losses

YFIWD

Yield in Farmers' Irrigation Water Depth

YX

Yield in X Treatment

IWP

Irrigation Water Productivity

TWP

Total Water Productivity

IW

Irrigation Water

TW

Total Water

RGL

Ratio Gain-loss

RGLX

Ratio Gain-loss in Treatment X

IWFIWD

Irrigation Water Used in the Farmers' Irrigation Water Depth

IWX

Irrigation Water Used in X Treatment

ns

Not Significant

p

Probability

SAPEP

Smallholder Agricultural Productivity Enhancement Program

Acknowledgments
The authors would like to thank the Institute of Environment and Agricultural Research of Burkina Faso for holding and providing the resources for the study. Acknowledgments go to the Smallholder Agricultural Productivity Enhancement Program (SAPEP) project for funding this research; without their supports, this study would not have been possible.
Author Contributions
Aime Severin Kima: Conceptualization, methodology, data curation, formal analysis, software, validation, visualization, writing the original draft and editing.
Wendzoodo Amelie Pelagie Yanogo: review and editing.
Bene-Wende Bernice Sandwidi: Review and editing.
Etienne Kima: Data collection, review and editing.
Yu-Min Wang: Validation, visualization and review.
Funding
This work was conducted under the Smallholder Agricultural Productivity Enhancement Program ‘Implementing water management techniques and practices to increasing rice yield under climate change circumstances.
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Normile, D. 2008 Reinventing rice to feed the world. Science 321(5887), 330-333.
[2] Fukagawa, N. K. and Ziska, L. H. 2019 Rice: Importance for Global Nutrition. J. Nutr. Sci. Vitaminol. 65 (Supplement), S2-S3.
[3] OECD-FAO 2022, Agricultural Outlook 2022-2031 2nd edn, Paris, France.
[4] Segda, Z., Yameogo, L. P., Sie, M., Bado, V. B. and Mando, A. 2014 Nitrogen use efficiency by selected Nerica varieties in Burkina Faso. Afr. J. Agric. Res. 9(15) 1172-1179.
[5] Africa rice trends 2008, Africa Rica Center edn, Cotonou, Benin.
[6] Seck, P. A., Tollens, E., Wopereis, M. C. S., Diagne, A. and Bamba, I. 2010 Rising trends and variability of rice prices: Threats and opportunities for sub-Saharan Africa. Food Policy 35(5) 403-411.
[7] Bouman B. A. M., Lampayan R. M. and Tuong, T. P. 2007 Water management in irrigated rice: coping with water scarcity. Bill Hardy, Los Banos.
[8] Kima, A. S., Kima, E., Bacyé, B., Ouédraogo, P. A. W., Traore, O., Traore, S., Nandkangré, H., Chung W. G. and Wang, Y. M. 2020 Evaluating Supplementary Water Methodology with Saturated Soil Irrigation for Yield and Water Productivity Improvement in Semi-Arid Rainfed Rice System, Burkina Faso. Sustainability 12, 4819.
[9] Traore, O., Traore, S., Wang, Y. M. and Kima, A. S. 2016a Local Community’s Adaptive Strategies to Drought in the Sahel Zone of Burkina Faso. Int. j. basic appl. sci. 28(3), 50-64.
[10] Traore, O., Traore, S., Wang, Y. M. and Kima, A. S. 2016b Preliminary Assessment of Climate Impact on Cotton Production in Semiarid Zone of Africa: Case study of Burkina Faso. Imp. J. Interdiscip. Res. 2(8), 1450-1455.
[11] Traore, O., Chang, W., Rehman, A., Traore, S. and Rauf, A. 2020 Climate disturbance impact assessment in West Africa: evidence from field survey and satellite imagery analysis. Environ. Sci. Pollut. Res. 27(3), 26315-26331.
[12] Traoré, H., Barro, A., Yonli, D., Stewart, Z. and Prasad, V. 2020 Water Conservation Methods and Cropping Systems for Increased Productivity and Economic Resilience in Burkina Faso. Water 12(4), 1-13.
[13] Wale, A., Sebnie, W., Girmay, G. and Beza, G. 2019 Evaluation of the potentials of supplementary irrigation for improvement of sorghum yield in Wag-Himra, North Eastern, Amhara, Ethiopia. Cogent food agric. 5(1), 1-12.
[14] Tsujimoto, Y., Horie, T., Randriamihary, H., Shiraiwa, T. and Homma, K. 2009 Soil management: The key factors for higher productivity in the fields utilizing the system of rice intensification (SRI) in the central highland of Madagascar. Agric. Syst. 100(1-3), 61-71.
[15] Rockström, J., Barron, J. and Fox, P. 2002 Rainwater management for increased productivity among small-holder farmers in drought prone environments. Phys. Chem. Earth 27(11-22), 949-959.
[16] Yang, C., Yang, L., Yang, Y. and Ouyang, Z. 2004 Rice root growth and nutrient uptake as influenced by organic manure in continuously and alternately flooded paddy soils. Agric. Water Manag. 70(1), 67-81.
[17] Rockström, J., Karlberg, L., Wani, S. P., Barron, J., Hatibu, N., Oweis, T., Bruggeman, A., Farahani, J. and Qiang, Z. 2010 Managing water in rainfed agriculture-The need for a paradigm shift. Agric. Water Manag. 97(4) 543-550.
[18] Bekele, T., Abebo, M. and Wabala, K. 2019 Evaluation of potato responses to supplementary irrigation in rain-fed agriculture at Misrak Azernet Bebere Woreda, Ethiopia. J. Irrig. Drain. Eng. 8(2), 1-5.
[19] Tuong, T. P., Bouman, B. A. M. and Mortimer, M. 2005 More rice, less water integrated approaches for increasing water productivity in irrigated rice bed-based systems in Asia. Plant Prod. Sci. 8(3), 231-241.
[20] Fox, P. and Rockström, J. 2000 Water-harvesting for supplementary irrigation of cereal crops to overcome intra-seasonal dry-spells in the Sahel. Phys. Chem. Earth. 25(3), 289-296.
[21] Barbier, B., Ouedraogo, H., Barry, B., Yacouba, H., Kouakou, M., Jamin, J. Y. and Dembélé, Y. 2011 L'agriculture irriguée dans le Sahel ouest-africain. Diversité des pratiques et des performances. Cah. Agric. 20(1-2), 24-33.
[22] Barbier, B., Zongo, B., Dugué, P. and Zangré, A. 2015 L’irrigation de complément à partir de petits bassins individuels: Synthèse des travaux réalisés au Burkina Faso. Agripade, 31(3), 9-11.
[23] Sharma, K. R. and Sharma, V. 2015 Supplemental irrigation from harvested rainwater to enhance yield and economic returns from wheat in sub-montane region of Jammu, India. J. Soil Water Conserv. 14(3), 219-226.
[24] Akhtar, M., Hassan, F. U., Ahmed, M. U., Hayat, R. and Stöckle, C. O. 2016 Is rainwater harvesting an option for designing sustainable cropping patterns for rainfed agriculture? Land Degrad. Dev. 27(3), 630-640.
[25] Wang, Y. M., Namaona, W., Traore, S. and Zhang, Z. C. 2009 Seasonal temperature-based models for evapotranspiration estimation under semi-arid conditions of Malawi. Afr. J. Agric. Res. 4(9), 878-886.
[26] Kima, A. S., Chung, W. G. and Wang, Y. M. 2014 Improving irrigated lowland rice water use efficiency under saturated soil culture for adoption in tropical climate conditions. Water 6(9), 2830-2846.
[27] Tanji, K. K. and Kielen, N. C. 2002. Agricultural drainage water management in arid and semi-arid areas. FAO ed. Rome: Food and Agriculture Organization of United Nations.
[28] Gong, D. Y., Wang, J. A. and Han, H. 2005 Trends of summer dry Spells in China during the late twentieth century. Meteorol. Atmospheric Phys. 88(3-4), 203-214.
[29] Froidurot, S. and Diedhiou, A. 2017 Characteristics of Wet and Dry Spells in the West African Monsoon System. Atmos. Sci. Lett. 18(3), 125-131.
[30] Kima, A. S., Chung, W. G., Wang, Y. M. and Traore., S. 2015 Evaluating water depths for high water productivity in irrigated lowland rice field by employing alternate wetting and drying technique under tropical climate conditions, Southern Taiwan. Paddy Water Environ. 13(4), 379-389.
[31] Chapman, S. C. and Barreto, H. J. 1997 Using a chlorophyll meter to estimate specific leaf nitrogen of tropical maize during the vegetative growth. Agron. J. 89(4), 557-562.
[32] Geerts, S. and Raes, D. 2009. Deficit irrigation as on-farm strategy to maximize crop water productivity in dry areas. Agric. Water Manag. 96(9), 1275-1284.
[33] Osakabe, Y., Osakabe, K., Shinozaki, K. and Tran, L. S. P. 2014 Response of plants to water stress. Front. Plant Sci. 5(86), 1-8.
[34] Akram, H. M., Ali, A., Sattar, A., Rehman, H. S. U. and Bibi, A. 2013 Impact of water deficit stress on various physiological and agronomic traits of three Basmati rice (Oryza sativa L.) cultivars. J. Anim. Plant Sci. 23(5), 1415-1423.
[35] Lisar, S. Y. S., Motafakkerazad, R., Hossain, M. M. and Rahman, I. M. M. 2012 Water Stress in Plants: Causes, Effects and Responses. In: Water Stress, Ismail M., Rahman, M., and Hasegawa, H., (ed.), Rijeka InTech, Croatia, pp. 1-14.
[36] Kondhia, A., Tabien, R. E. and Ibrahim, A. 2015 Evaluation and Selection of High Biomass Rice (Oryza sativa L.) for Drought Tolerance. American Journal of Plant Sciences, 6(12), 1962-1972.
[37] Ascha, F., Dingkuhn M., Sow A. and Audebert, A. 2005 Drought-induced changes in rooting patterns and assimilate partitioning between root and shoot in upland rice. Field Crops Res. 93(2-3): 223-236.
[38] Song, L., Jin, J. and He, J. 2019 Effects of Severe Water Stress on Maize Growth Processes in the Field. Sustainability 11(18) 1-18.
[39] Yanogo, W. A. P., Kima A. S., Ouoba S., Kima E. and Sandwidi B-W. B. 2025a. Effect of supplementary irrigation water and organic matter amounts on tomato yield and water productivity in a semi-arid climate. Asian Res. J. Agric., vol 18, no. 1, pp. 216-230.
Cite This Article
  • APA Style

    Kima, A. S., Yanogo, W. A. P., Sandwidi, B. B., Kima, E., Wang, Y. (2025). Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso. American Journal of Water Science and Engineering, 11(3), 60-73. https://doi.org/10.11648/j.ajwse.20251103.12

    Copy | Download

    ACS Style

    Kima, A. S.; Yanogo, W. A. P.; Sandwidi, B. B.; Kima, E.; Wang, Y. Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso. Am. J. Water Sci. Eng. 2025, 11(3), 60-73. doi: 10.11648/j.ajwse.20251103.12

    Copy | Download

    AMA Style

    Kima AS, Yanogo WAP, Sandwidi BB, Kima E, Wang Y. Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso. Am J Water Sci Eng. 2025;11(3):60-73. doi: 10.11648/j.ajwse.20251103.12

    Copy | Download

  • @article{10.11648/j.ajwse.20251103.12,
      author = {Aime Severin Kima and Wendzoodo Amelie Pelagie Yanogo and Bene-Wende Bernice Sandwidi and Etienne Kima and Yu-Min Wang},
      title = {Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso
    },
      journal = {American Journal of Water Science and Engineering},
      volume = {11},
      number = {3},
      pages = {60-73},
      doi = {10.11648/j.ajwse.20251103.12},
      url = {https://doi.org/10.11648/j.ajwse.20251103.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20251103.12},
      abstract = {In Burkina Faso, supplementary irrigation is promoted as a strategy to overcome the uncertainty of rain and increase sustainably rain-fed rice yield. However, in the actual water scarcity context and the decline of rain water, high productivity cannot be achieved regardless to water use efficiency. Therefore, an experiment was conducted to identify optimal supplemental water depth that increases both water productivity and water savings while minimizing yield losses. Four replications of a randomized block design were implemented and three supplemental water depths of D5cm, D7.5cm and D10cm were field-evaluated against farmer’s irrigation water depth (FIWD). In D5cm, D7.5cm and D10cm treatments, water was applied once a week in case of no rain. In FIWD treatment, irrigation was supplied daily excluding the day of rain. The results revealed that water stress duration and amplitude increased with the decrease of water depth. Severe, moderate and low water stress were recorder in D5cm, D7.5cm and D10cm respectively while no stress was registered in FIWD. The severe water stress induced by D5cm diminished plant height, and the number of tillers by 11% to 3% respectively; while slight (D10cm) and moderate (D7.5cm) stress did not affect the growth. Comparable yield was obtained in D7.5cm (3.130 tha-1) and FIWD (3.279 tha-1). The application of 7.5cm of water yielded the highest gain of water saving (438 m3kg-1). We argue that the weekly supply of 7.5cm water depth can be suggested as a sustainable practice in semi-arid regions.
    },
     year = {2025}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Evaluating Supplementary Irrigation Depths for the Improvement of Water Productivity and Rice Yield in Semi-arid Climate, Eastern Burkina Faso
    
    AU  - Aime Severin Kima
    AU  - Wendzoodo Amelie Pelagie Yanogo
    AU  - Bene-Wende Bernice Sandwidi
    AU  - Etienne Kima
    AU  - Yu-Min Wang
    Y1  - 2025/09/02
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ajwse.20251103.12
    DO  - 10.11648/j.ajwse.20251103.12
    T2  - American Journal of Water Science and Engineering
    JF  - American Journal of Water Science and Engineering
    JO  - American Journal of Water Science and Engineering
    SP  - 60
    EP  - 73
    PB  - Science Publishing Group
    SN  - 2575-1875
    UR  - https://doi.org/10.11648/j.ajwse.20251103.12
    AB  - In Burkina Faso, supplementary irrigation is promoted as a strategy to overcome the uncertainty of rain and increase sustainably rain-fed rice yield. However, in the actual water scarcity context and the decline of rain water, high productivity cannot be achieved regardless to water use efficiency. Therefore, an experiment was conducted to identify optimal supplemental water depth that increases both water productivity and water savings while minimizing yield losses. Four replications of a randomized block design were implemented and three supplemental water depths of D5cm, D7.5cm and D10cm were field-evaluated against farmer’s irrigation water depth (FIWD). In D5cm, D7.5cm and D10cm treatments, water was applied once a week in case of no rain. In FIWD treatment, irrigation was supplied daily excluding the day of rain. The results revealed that water stress duration and amplitude increased with the decrease of water depth. Severe, moderate and low water stress were recorder in D5cm, D7.5cm and D10cm respectively while no stress was registered in FIWD. The severe water stress induced by D5cm diminished plant height, and the number of tillers by 11% to 3% respectively; while slight (D10cm) and moderate (D7.5cm) stress did not affect the growth. Comparable yield was obtained in D7.5cm (3.130 tha-1) and FIWD (3.279 tha-1). The application of 7.5cm of water yielded the highest gain of water saving (438 m3kg-1). We argue that the weekly supply of 7.5cm water depth can be suggested as a sustainable practice in semi-arid regions.
    
    VL  - 11
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Methodology
    3. 3. Results
    4. 4. Discussion
    5. 5. Conclusion
    Show Full Outline
  • Abbreviations
  • Acknowledgments
  • Author Contributions
  • Funding
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information