Abstract
One of the most important problems for rice production is the high water need of this plant. Therefore, the use of modern technologies to increase water-saving in paddy fields is critical to global food security. Hence, the present study aimed to evaluate the effects of different planting methods and irrigation systems on growth, yield and water productivity in rice. The experiment was arranged as a split-plot in a randomized complete block design with three replications. The experimental treatments included the main plot assigned to three planting methods (transplanting at puddled bed [TPB], transplanting at non-puddled bed [TNPB], and direct-seeded rice [DSR]) and the sub-plot assigned to three irrigation systems (continuous flooding irrigation (CFI), alternate wetting and drying [AWD], and drip irrigation [DI]). The results showed that the highest grain yield (3962.7 kg.ha−1) and more-water-saving (17.3%) was achieved in the TPB treatment. Total water productivity for TPB, TNPB, and DSR methods were calculated to be 0.56, 0.43, and 0.34 kg.m−3, respectively. Grain yield in CFI (3457.6 kg.ha−1) and AWD (3410.3 kg.ha−1) systems was significantly higher than DI treatment (3150.7 kg.ha−1), while no significant difference was observed between CFI and AWD treatments in terms of rice production. However, the AWD system increased water-saving by 24.8% compared with CFI. Our results highlight that combined application of AWD system and TPB method has a great potential to reduce total water input without negatively affecting yield.
HIGHLIGHTS
Rice plants grown at TPB indicated higher growth, greater yield and lower total water input compared with TNPB and DSR methods.
The plots maintained under DI system had significantly higher water-saving and lower yield than CFI and AWD treatments.
Application of management strategies of rice planting by TPB under AWD system has noticeable potential to reduce water shortages, while also ensuring high grain yield.
INTRODUCTION
Rice (Oryza sativa L.) is cultivated in more than 95 countries worldwide (Liu et al. 2015). Rice with an annual production of 782 million tons and a harvesting area of 167 million hectares (Ben Hassen et al. 2017) provides the food needs of a large part of the world's population (Carrijo et al. 2017). In Iran, the area under rice cultivation is approximately 0.62 million hectares with the production of 2,900,000 tons of rice (Pourgholam-Amiji et al. 2021). Mazandaran province has the largest share in rice production in Iran with the cultivated area of 214,052 hectares and production of almost 26% (1,113,715 tons) of the total rice produced in Iran (Ahmadi et al. 2019).
The volume of input water in traditional irrigation system is significantly high (Zabihpour Roushan et al. 2022). In the conventional technique of rice production, a large amount of input water is wasted due to the preparation of the planting bed before transplantation, evaporation and seepage (Kiani et al. 2022). At present, traditional transplanted flooded system is used in most areas of rice production in Iran, which resulted in an increase in water input (WI) (Ebrahimi Rad et al. 2018). However, a large amount of the total water input (TWI) in a continuous flooding irrigation (CFI) system is lossed by seepage, percolation, and evaporation (Shao et al. 2015). Rice has higher water use and lower water productivity (WP) compared to other cereals (Maneepitak et al. 2019). The amount of WI in transplanted-flooded rice is two or three times more than other cereals like corn and wheat (Liu et al. 2015). In general, the irrigated rice grown under CFI consumes more water than the crop actual needs (Ebrahimi Rad et al. 2018). Here, one of the main issues in the food security sector is to produce higher quantities of rice with lower WI to feed the people of the world (Wu et al. 2017). These cases make it necessary to adopt management methods to water-saving and increase WP for rice production (Carracelas et al. 2019).
Nowadays, various techniques of planting and water management such as direct-seeded rice (DSR) (Xu et al. 2019; Ishfaq et al. 2020), transplanting at non-puddled bed (TNPB) (Hossen et al. 2018), alternate wetting and drying (AWD) irrigation (Carrijo et al. 2017; Anning et al. 2018) and drip irrigation (DI) (Rao et al. 2017; Singh et al. 2019) can become alternative options for the traditional method of rice production by reducing WI and increasing WP. Bukhari Syed et al. (2021) stated that the application of geomembrane cover plays a vital role in enhancing the water-saving. The use of proper agricultural management techniques such as the principle application of mineral fertilizers and appropriate irrigation methods is of great importance in the agricultural sector (Abdul Rajak 2022).
DSR is a technique of direct sowing of seeds in fields (Kaur & Singh 2017). Direct seeding of rice can replace traditional transplanting due to the reduction in total WI volume, low labor input and high economic benefit (Ishfaq et al. 2020). Patel et al. (2018) observed that DSR was able to reduce WI by 35–57% and labor force by 67% when compared with traditional planting. In other hand, some studies suggest that the rice grain yield at DSR was significantly lower than TPB (Xu et al. 2019).
Transplanting of rice in non-puddling soil helps to establish the plant in time, save energy and thus reduce input costs (Haque et al. 2016). Hossen et al. (2018) reported that eliminating the puddling operation can reduce the costs of labor, energy and irrigation water input to land preparation for rice plants establishment. Previous studies indicated that some researchers believe that DSR or TNPB can be a suitable alternative to transplanting at puddled bed (TPB) (Kar et al. 2018) due to the lower need for energy and labor inputs (Fang et al. 2019).
AWD is an irrigation system based on not flooding the fields during the crop growth period (Sandhu et al. 2017) that helps reduce WI in paddy fields (Maneepitak et al. 2019). One of the advantages of AWD method is the improvement of WP along with maintaining or enhancing grain yield of rice (Zhou et al. 2017). Ishfaq et al. (2020) documented that the AWD can represent a viable alternative to CFI by water-saving by 25–70%.
The use of DI in rice cultivation can help to increase the water supply capacity (He et al. 2022). Singh et al. (2019) observed that the water requirement of rice plants in the DI method was in the range of 938–1,838 L·kg−1, whereas this value was 4,250–5,508 L·kg−1 in CFI. The DI system is able to reduce the rice demand for water (Rao et al. 2017). Previous studies showed that the cost of irrigation water was decreased by 2–5.6 times under DI system when compared with CFI (Kruzhilin et al. 2015).
The issue of water crisis as well as excessive water losses in the crop production require sustainable use of water (Farahza et al. 2020). Thus, it is necessary to compare the different planting methods and various irrigation systems to achieve the best strategy to overcome the challenge of the water crisis as well as to help improve farmers' income. For this reason, the aim of this research was to investigate agronomic parameters, yield components, yield and water productivity of rice under different planting methods and various irrigation systems to identify the best management techniques that enhances water productivity without negatively affecting grain yield.
MATERIALS AND METHODS
Experimental site
Months . | Monthly temperature (°C) . | Rainfall (mm) . | Average relative humidity (%) . | ||
---|---|---|---|---|---|
Min . | Max . | Average . | |||
Apr | 10.8 | 19.7 | 15.3 | 7.7 | 76 |
May | 14.9 | 23.9 | 19.4 | 29.1 | 72 |
Jun | 20.5 | 13.1 | 16.8 | 3.2 | 76 |
Jul | 21.3 | 30.7 | 26.0 | 3.0 | 76 |
Aug | 21.4 | 29.3 | 25.4 | 54.3 | 79 |
Sep | 21.8 | 29.5 | 25.7 | 31.0 | 80 |
Months . | Monthly temperature (°C) . | Rainfall (mm) . | Average relative humidity (%) . | ||
---|---|---|---|---|---|
Min . | Max . | Average . | |||
Apr | 10.8 | 19.7 | 15.3 | 7.7 | 76 |
May | 14.9 | 23.9 | 19.4 | 29.1 | 72 |
Jun | 20.5 | 13.1 | 16.8 | 3.2 | 76 |
Jul | 21.3 | 30.7 | 26.0 | 3.0 | 76 |
Aug | 21.4 | 29.3 | 25.4 | 54.3 | 79 |
Sep | 21.8 | 29.5 | 25.7 | 31.0 | 80 |
Soil Texture . | Sand (%) . | Silt (%) . | Clay (%) . | EC (ds·m−1) . | pH . | Organic carbon (%) . | Available P (mg·kg−1) . | Available K (mg·kg−1) . |
---|---|---|---|---|---|---|---|---|
Si-L | 21 | 51 | 28 | 0.60 | 7.68 | 1.36 | 10 | 180 |
Soil Texture . | Sand (%) . | Silt (%) . | Clay (%) . | EC (ds·m−1) . | pH . | Organic carbon (%) . | Available P (mg·kg−1) . | Available K (mg·kg−1) . |
---|---|---|---|---|---|---|---|---|
Si-L | 21 | 51 | 28 | 0.60 | 7.68 | 1.36 | 10 | 180 |
Experimental design and treatments
This experiment was conducted as a split-plot in a randomized complete block design with three replications. The experimental treatments included the planting methods at three levels (transplanting at puddled bed [TPB], transplanting at non-puddled bed [TNPB], and direct-seeded rice [DSR]) as the main factor and the irrigation systems at three levels (continuous flooding irrigation (CFI), alternate wetting and drying [AWD], and drip irrigation [DI]) as the sub factor.
Field experiment
In this study, rice seeds (cv. Tarom Hashemi) were applied for planting. The plots size was 48 m2 (8 m × 6 m). In order to prevent lateral seepage, the boundaries of the plots were covered with a plastic film placed at a depth of 30 cm in the soil. For treatment of TPB, land preparation was done by ploughing, harrowing, puddling and soil leveling, whereas at TNPB, the plots were dry-plowed without puddling and seedlings were transplanted in plots after one irrigation stage. At both transplanting methods, pregerminated seeds were sown in nursery. Then, the 30-day-old rice seedlings were transplanted with one plant per hill at a constant spacing of 25 × 25 cm by manually transplanting. For treatment of DSR, the soil in plot was dry-plowed without puddling and then the seeds were sown directly and manually with a distance of 20–23 cm and a depth of 1.5–2 cm. The amount of seed used for transplanting and DSR methods were 40 and 80 kg·ha−1, respectively.
All the plots received phosphorus as triple superphosphate at the rate of 100 kg P2O5 ha−1 as basal. Nitrogen as urea 46% and potassium as potassium chloride were applied at the rates of 150 and 100 kg·ha−1, respectively, in three stages (40% as a basal fertilizer, 30% at tillering stage and 30% at panicle initiation). To control weeds in transplanted plots at puddled bed, Butachlor (2.5–3 L ha−1) was used 1 week after transplanting and manual weeding was done in 2 week after planting. To control weeds in transplanted plots at non-puddled bed and direct seeding, the Treflan (3–3.5 L ha−1) and Butachlor (3–4 L ha−1) was used. To control Chilo suppressalis, diazinon (10% Granule) was used at a rate of 15–20 kg ha−1 at two stages and to control blast disease, Win fungicide was used at the rate of 400 ml·ha−1 at one stage in all the experimental plots.
Sampling and measurement
At ripening stage, the morphological characteristics of plant height and panicle length were determined by measurement of 15 plants in each plot. The total tillers number per hill and panicle number per hill were calculated from 15 hills per plot. The filled grains number per panicle was determined by counting from 20 panicles. The 1,000-grain weight was obtained by counting 1,000 filled grains and weighing them. Grain yield was determined by harvesting an area of 10 m2 (5 m × 2 m) from the middle part of the test plots and based on 14% moisture content. In the entrance part of each plot, the flowmeters were placed to enable separate monitoring of irrigation treatments. The irrigation water input for all treatment was pumped from the well and it's Physicochemical properties are provided in Table 3. Total water input (TWI) volume (m3·ha−1) includes irrigation water input plus rainfall recorded during growing season. Total water productivity (TWP) (kg·m−3) was calculated as the grain yield (kg·ha−1) per unit of TWI. The full names and abbreviations of related terms are shown in Table 4.
parameters . | Unit . | Concentration . |
---|---|---|
EC | ds·m−1 | 0.839 |
pH | – | 7.28 |
Carbonate | meq·l−1 | 0.6 |
Bicarbonate | meq·l−1 | 2.1 |
Total dissolved solids | mg·l−1 | 593 |
Calcium | mg·l−1 | 277 |
Total hardness | mg·l−1 | 487 |
parameters . | Unit . | Concentration . |
---|---|---|
EC | ds·m−1 | 0.839 |
pH | – | 7.28 |
Carbonate | meq·l−1 | 0.6 |
Bicarbonate | meq·l−1 | 2.1 |
Total dissolved solids | mg·l−1 | 593 |
Calcium | mg·l−1 | 277 |
Total hardness | mg·l−1 | 487 |
Term . | Definition . |
---|---|
AWD | Alternate wetting and drying |
CFI | Continuous flooding irrigation |
DI | Drip irrigation |
DSR | Direct-seeded rice |
DDSR | Dry direct-seeded rice |
TNPB | Transplanting at non-puddled bed |
TPB | Transplanting at puddled bed |
TPR | Transplanted-rice |
TWI | Total water input |
TWP | Total water productivity |
WI | Water input |
WP | Water productivity |
WUE | Water use efficiency |
Term . | Definition . |
---|---|
AWD | Alternate wetting and drying |
CFI | Continuous flooding irrigation |
DI | Drip irrigation |
DSR | Direct-seeded rice |
DDSR | Dry direct-seeded rice |
TNPB | Transplanting at non-puddled bed |
TPB | Transplanting at puddled bed |
TPR | Transplanted-rice |
TWI | Total water input |
TWP | Total water productivity |
WI | Water input |
WP | Water productivity |
WUE | Water use efficiency |
Statistical analysis
Statistical data were analysed by SAS software (9.2 ver.). Mean comparisons were performed by least significant difference (LSD) test (p ≤ 0.05). Figures were drawn using MS-Excel software.
RESULTS AND DISCUSSION
Growth parameters
The two-way interaction between planting method and irrigation system as well as the individual impacts of irrigation system (p < 0.05) and planting method (p < 0.01) were significant for plant height (Table 5).
Source of variation . | df . | Plant height . | Panicle length . | Total tillers numbe per hill . | Panicle number per hill . | Filled grains number per panicle . | 1,000-grain weight . |
---|---|---|---|---|---|---|---|
Replication (R) | 2 | 40.1 | 0.09 | 2.57 | 2.73 | 4.43 | 0.11 |
Planting method (PM) | 2 | 2,047.2** | 0.76ns | 27.7** | 35.2** | 248.0** | 67.4** |
Error | 4 | 1.84 | 0.75 | 1.09 | 1.89 | 9.57 | 0.22 |
Irrigation system (IS) | 2 | 77.2* | 2.03* | 30.0** | 35.3** | 49.8ns | 2.78ns |
PM × IS | 4 | 77.2* | 3.57** | 5.34** | 5.29ns | 90.9** | 1.22ns |
Error | 12 | 13.7 | 0.33 | 0.97 | 3.03 | 13.8 | 0.85 |
CV (%) | - | 3.35 | 2.40 | 7.78 | 14.28 | 6.59 | 2.99 |
Source of variation . | df . | Plant height . | Panicle length . | Total tillers numbe per hill . | Panicle number per hill . | Filled grains number per panicle . | 1,000-grain weight . |
---|---|---|---|---|---|---|---|
Replication (R) | 2 | 40.1 | 0.09 | 2.57 | 2.73 | 4.43 | 0.11 |
Planting method (PM) | 2 | 2,047.2** | 0.76ns | 27.7** | 35.2** | 248.0** | 67.4** |
Error | 4 | 1.84 | 0.75 | 1.09 | 1.89 | 9.57 | 0.22 |
Irrigation system (IS) | 2 | 77.2* | 2.03* | 30.0** | 35.3** | 49.8ns | 2.78ns |
PM × IS | 4 | 77.2* | 3.57** | 5.34** | 5.29ns | 90.9** | 1.22ns |
Error | 12 | 13.7 | 0.33 | 0.97 | 3.03 | 13.8 | 0.85 |
CV (%) | - | 3.35 | 2.40 | 7.78 | 14.28 | 6.59 | 2.99 |
ns, *, and ** are non-significant and significant at the 5 and 1% probability levels, respectively.
As shown in Table 6, the plant height was significantly higher at TPB (128.1 cm) than TNPB (104.9 cm) and DSR (99.8 cm). However, the lower plant height (22.1% reduction) was observed at DSR method. The difference in rice plants growth between planting methods in our study can be significantly affected by climate conditions. At DSR method, the germinated seeds are often exposed to low temperatures, whereas at transplanted-rice (TPR), the seeds in the nursery are protected by plastic covering against cold damage (Xu et al. 2018). On the other hand, the low water holding capacity in non-puddling soils caused a decrease in moisture retention in the planting methods without puddling (TNPB and DSR) in this study and as a result reduced vegetative growth and plant height. Increasing the water depth at TPB method causes more root development, proper absorption of nutrients and subsequently improves rice growth. Soil moisture stress reduces the vegetative growth of rice by limiting nutrients uptake by plant roots (Anning et al. 2018). Our results are in line with the findings of Islam et al. (2008), who reported the plant height at TPR method (130.2 cm) was higher than DSR (126.6 cm).
Factor . | Plant height (cm) . | Panicle length (cm) . |
---|---|---|
Planting method (PM) | ||
TPB | 128.1a | 24.24a |
TNPB | 104.9b | 23.99a |
DSR | 99.8c | 23.67a |
Irrigation system (IS) | ||
CFI | 114.0a | 24.33a |
AWD | 110.7ab | 24.13a |
DI | 108.2b | 23.43b |
PM × IS | ||
TPB + CFI | 124.7a | 24.97ab |
TPB + AWD | 131.5a | 25.73a |
TPB + DI | 128.1a | 24.10abc |
TNPB + CFI | 106.6b | 24.27abc |
TNPB + AWD | 100.9b | 23.53bc |
TNPB + DI | 107.3b | 23.40bc |
DSR + CFI | 100.9b | 23.16c |
DSR + AWD | 92.1c | 23.73bc |
DSR + DI | 106.6b | 22.87c |
Factor . | Plant height (cm) . | Panicle length (cm) . |
---|---|---|
Planting method (PM) | ||
TPB | 128.1a | 24.24a |
TNPB | 104.9b | 23.99a |
DSR | 99.8c | 23.67a |
Irrigation system (IS) | ||
CFI | 114.0a | 24.33a |
AWD | 110.7ab | 24.13a |
DI | 108.2b | 23.43b |
PM × IS | ||
TPB + CFI | 124.7a | 24.97ab |
TPB + AWD | 131.5a | 25.73a |
TPB + DI | 128.1a | 24.10abc |
TNPB + CFI | 106.6b | 24.27abc |
TNPB + AWD | 100.9b | 23.53bc |
TNPB + DI | 107.3b | 23.40bc |
DSR + CFI | 100.9b | 23.16c |
DSR + AWD | 92.1c | 23.73bc |
DSR + DI | 106.6b | 22.87c |
Means in columns followed by the same letter(s) are not significantly different by least significant difference (LSD) at p < 0.05.
In this research, there were no significant differences in plant height between CFI and AWD irrigation. The rice plants under CFI had 5.1% higher plant height than plants were subjected to DI. Plant height remained similar regardless of irrigation systems at TPB and TNBP, while DSR had significantly lower plant height under AWD than CFI and DI. CFI as a management technique can increase the growth of rice seedlings by preventing weed germination (Wu et al. 2017).
Panicle length was not affected by the individual impact of planting method; however, the individual impact of irrigation system (p < 0.05) as well as the interaction between planting methods and irrigation systems (p < 0.01) was significant on panicle length (Table 5).
In this study, the panicle length was similar in different planting methods, whereas it was significantly lower under DI than CFI and AWD irrigation systems (Table 6). However, the panicle length showed a slight increase in TPB compared with other planting methods. Hosseini et al. observed that the rice plants indicated greater panicle length at TPR when compared with DSR. Pourgholam-Amiji et al. (2021) also documented that the panicle length of rice was significantly higher under CFI than AWD treatments.
In our study, the panicle length was not affected by planting methods regardless of irrigation systems. The rice plants at TPB under all three irrigation systems and also TNBP under CFI showed higher panicle length when compared with other experimental treatments. However, the greatest panicle length (25.73 cm) was obtained at TPB under AWD, whereas the panicle length was reduced by 11.1% at DSR under DI (Table 6). Ishfaq et al. (2020) reported that the panicle length at TPR production system was significantly higher than dry direct-seeded rice (DDSR) in both years of the study (Ishfaq et al. 2020).
Yield components and grain yield
The total tillers number per hill was highly significantly (p < 0.01) affected by the two-way interaction between planting method and irrigation system as well as the individual effects of planting method and irrigation system (Table 5).
The results presented in Table 7 showed that the total tillers numbe per hill at TPB was 17.8% and 23.3% higher than TNPB and DSR, respectively. There was no significant difference in number of total tillers per hill between the TNPB and DSR. Typically, plant density at DSR method is higher than TPR method, so rice seedlings need more nutrients at DSR (Xu et al. 2019). Higher competition between rice seedlings to absorb mineral nutrients at greater densities results in a decrease in the tillers number per hill (Alipour Abookheili & Mobasser 2021). On the other hand, reducing the water depth in the methods without puddling (TNPB and DSR) in the present study reduces root development and therefore decreases tiller production.
Factor . | Total tillers numbe per hill . | Panicle number per hill . | Filled grains number per panicle . | 1,000-grain weight (g) . |
---|---|---|---|---|
Planting method (PM) | ||||
TPB | 14.68a | 14.32a | 62.38a | 33.44a |
TNPB | 12.07b | 11.84ab | 54.80b | 31.22b |
DSR | 11.26b | 10.41b | 52.30b | 28.00c |
Irrigation system (IS) | ||||
CFI | 13.75a | 13.50a | 58.86a | 31.44a |
AWD | 13.69a | 13.17a | 56.48ab | 30.33b |
DI | 10.56b | 9.91b | 54.15b | 30.90ab |
PM × IS | ||||
TPB + CFI | 15.67a | 15.33a | 64.50a | 33.67a |
TPB + AWD | 14.80a | 14.70ab | 63.80a | 33.33a |
TPB + DI | 13.33ab | 12.07abc | 58.87ab | 33.33a |
TNPB + CFI | 15.13a | 14.13ab | 63.57a | 32.33ab |
TNPB + AWD | 13.23ab | 9.33cd | 52.70bc | 30.67bc |
TNPB + DI | 12.93bc | 9.32cd | 48.13c | 30.50bc |
DSR + CFI | 11.33bc | 10.67bcd | 52.93bc | 28.67cd |
DSR + AWD | 9.10c | 7.47d | 52.70bc | 27.00d |
DSR + DI | 13.10b | 12.07abc | 49.87bc | 28.33d |
Factor . | Total tillers numbe per hill . | Panicle number per hill . | Filled grains number per panicle . | 1,000-grain weight (g) . |
---|---|---|---|---|
Planting method (PM) | ||||
TPB | 14.68a | 14.32a | 62.38a | 33.44a |
TNPB | 12.07b | 11.84ab | 54.80b | 31.22b |
DSR | 11.26b | 10.41b | 52.30b | 28.00c |
Irrigation system (IS) | ||||
CFI | 13.75a | 13.50a | 58.86a | 31.44a |
AWD | 13.69a | 13.17a | 56.48ab | 30.33b |
DI | 10.56b | 9.91b | 54.15b | 30.90ab |
PM × IS | ||||
TPB + CFI | 15.67a | 15.33a | 64.50a | 33.67a |
TPB + AWD | 14.80a | 14.70ab | 63.80a | 33.33a |
TPB + DI | 13.33ab | 12.07abc | 58.87ab | 33.33a |
TNPB + CFI | 15.13a | 14.13ab | 63.57a | 32.33ab |
TNPB + AWD | 13.23ab | 9.33cd | 52.70bc | 30.67bc |
TNPB + DI | 12.93bc | 9.32cd | 48.13c | 30.50bc |
DSR + CFI | 11.33bc | 10.67bcd | 52.93bc | 28.67cd |
DSR + AWD | 9.10c | 7.47d | 52.70bc | 27.00d |
DSR + DI | 13.10b | 12.07abc | 49.87bc | 28.33d |
Means in columns followed by the same letter(s) are not significantly different by least significant difference (LSD) at p < 0.05.
Our findings illustrated that the two irrigation systems of CFI (13.75 tillers) and AWD (13.69 tillers) resulted in similar total tillers number per hill, whereas the tillers number per hill under DI was reduced by about 23%. The production of a higher total tillers number per hill with the CFI and AWD can be attributed to more suitable moisture conditions in these two methods compared with DI method. Total tillers numbe per hill remained similar at TPB irrespective of irrigation systems, although the plants at TPB under DI had lower tillers number per hill compared with TPB under CFI and AWD. We also observed that the rice plants at TNPB under DI had 14.5% and 2.3% lower number of total tillers per hill than the same planting method under CFI and AWD irrigation treatments, respectively, whereas there was no significant difference between the CFI and AWD at TNPB in terms of number of total tiilers per hill. At DSR method, the plants under DI system indicated 13.5% and 30.5% higher total tillers number per hill than rice plants were subjected to CFI and AWD. However, there was no significant difference in number of total tillers per hill between the DI and CFI at DSR method (Table 7). Our results are consistent with findings of Ishfaq et al. (2020) which showed that the total tillers m−2 was similar for AWD and CFI methods in both years. AWD can help increase the number of tillers in rice by ameliorating root health, shoot growth and leaf area index (Norton et al. 2017).
Number of panicle per hill was not affected by the two-way interaction between planting method and irrigation system; however, the individual effects of planting method and irrigation system was highly significant (p < 0.01) on panicle number per hill (Table 5).
As shown in Table 7, the highest panicle number per hill was observed at TPB method (14.32 panicle), whereas DSR reduced the number of panicle per hill by 27.3%. However, there was no significant difference in panicle number per hill between TPB and TNPB treatments. Failure to meet the total transpiration water demand from the deeper layers of the soil by the roots can lead to a reduce in growth and yield (Carrijo et al. 2018). Hosseini et al. demonstrated that changing the planting method from TPB to DSR resulted in the 60% reduction of fertile tillers per hill. Xu et al. (2019) also observed that the number of spikelet per panicle was significantly lower at DSR when compared with TPR.
The plants grown under CFI and AWD had 26.6% and 24.7% higher panicle number per hill compared with rice plants under DI. However, there were no significant differences in number of panicle per hill between CFI and AWD treatments, whereas the DI treatment significantly decreased panicle number per hill (Table 7). Drought stress in the important stages of rice growth affects the agronomic characteristics and yield components of rice (Maneepitak et al. 2019). For example, water stress had a significant effect in reducing the number of tillers in rice due to leaf water potential drop, stomata closing and photosynthesis rate reduction (Dass et al. 2016).
Number of filled grains per panicle was not affected by the individual effect of irrigation system; however, it was highly significantly (p < 0.01) affected by the two-way interaction between planting method and irrigation system as well as the individual impact of planting method (Table 5).
In this study, the TPB had 12.1% and 16.1% greater filled grains number per panicle than TNPB and DSR, respectively (Table 7). Providing the moisture required by the plant, especially at grain filling stage by TPB method, could lead to an increase in the number of filled grains per panicle. In similar results, Karimi Fard et al. (2020) documented that the higher number of filled grains per panicle at TPR compared with DSR. Hosseini et al. found that the filled grains number per panicle at DSR was reduced by 24.5% and 19.4%, respectively, when compared with TNPB and TPB methods.
Among the three irrigation systems, DI had significantly lower number of filled grains per panicle than CFI and AWD. At TPB and DSR methods, the three irrigation systems resulted in similar filled grains number per panicle, whereas at TNPB, the CFI had 17.1% and 24.3% higher filled grains number per panicle than AWD and DI systems, respectively (Table 7). The application of AWD irrigation method during grain filling phase by increasing root growth improves the nutrients uptake, enhances accumulation of soluble carbohydrates and ameliorates the transport of assimilates to the grain when the nutrients supply is limited (Li et al. 2016). In similar results, Maneepitak et al. (2019) demonstrated that the difference in filled grain percentage among irrigation regimes (CFI and AWD) was not significant, which is consistent with the results of the present study. In other hand, Pourgholam-Amiji et al. (2021) reported that the highest grain filling percentage was observed when the plants were under flooding irrigation.
The simple effect of planting method was highly significant (p < 0.01) for 1,000-grain weight. However, the 1,000-grain weight was not affected by the interaction between planting method and irrigation system as well as the simple effect of irrigation system (Table 5). Among the three planting methods, TPB had 6.6% and 16.3% higher 1,000-grain weight than TNPB and DSR, respectively. However, the lowest 1,000-grain weight (28 g) was observed under DSR method. The increase in 1,000-grain weight at TPB method may be due to reducing source limitation, enhancing photoassimilates and better transporting of these assimilates to the grain by enhancing the moisture availability at grain filling stage. Xu et al. (2019) indicated that grain weight was significantly lower than that under TPR.
The 1,000-grain weight was similar under two irrigation management practices of CFI and DI, whereas AWD had significantly lower 1,000-grain weight than CFI. However, there was no significant difference in 1,000-grain weight between the DI and AWD. Our results revealed that the 1,000-grain weight remained similar at TPB irrespective of irrigation management practices, and the same was also true for TNPB and DSR under three irrigation systems (Table 7). Ye et al. (2013) documented a reduction in 1,000-grain weight under AWD by reduced water availability and lack of nutrient supply due to increased panicle number. By contrast, Maneepitak et al. (2019) mentioned that changing the irrigation method from CFI to AWD resulted in an increase in 1,000-grain weight in both dry and wet seasons.
There was no significant interaction between planting method and irrigation system for grain yield; however, planting method (p < 0.01) and irrigation system (p < 0.05) significantly affected grain yield (Table 8).
Source of variation . | df . | Grain yield . | Total water input . | Total water productivity . |
---|---|---|---|---|
Replication (R) | 2 | 331,241.8 | 9,372.3 | 0.007 |
Planting method (PM) | 2 | 2,805,587.1** | 5,582,510.7** | 0.10** |
Error | 4 | 60,890.7 | 4,068.1 | 0.001 |
Irrigation system (IS) | 2 | 245,756.2* | 31,622,049.3** | 0.05** |
PM × IS | 4 | 13,709.3ns | 1,432,153.9** | 0.001ns |
Error | 12 | 50,364.5 | 6,122.9 | 0.001 |
CV (%) | – | 6.72 | 1.00 | 8.15 |
Source of variation . | df . | Grain yield . | Total water input . | Total water productivity . |
---|---|---|---|---|
Replication (R) | 2 | 331,241.8 | 9,372.3 | 0.007 |
Planting method (PM) | 2 | 2,805,587.1** | 5,582,510.7** | 0.10** |
Error | 4 | 60,890.7 | 4,068.1 | 0.001 |
Irrigation system (IS) | 2 | 245,756.2* | 31,622,049.3** | 0.05** |
PM × IS | 4 | 13,709.3ns | 1,432,153.9** | 0.001ns |
Error | 12 | 50,364.5 | 6,122.9 | 0.001 |
CV (%) | – | 6.72 | 1.00 | 8.15 |
ns, *, and ** are non-significant and significant at the 5 and 1% probability levels, respectively.
The assay for grain yield (Table 9), showed that the maximum grain yield (3,962.7 kg·ha−1) was obtained at TPB, whereas the yield was decreased by 20% and 27.2% at TNPB and DSR, respectively. However, the rice plants at TNPB and DSR produced similar grain yields. The higher yield at TPB method could be attributed to higher total tillers numbe per hill, higher panicle numbe per hill, greater filled grains number per panicle and higher 1,000-grain weight. In similar results, Xu et al. (2019) indicated that the rice grain yield at DSR method was 12% lower than TPB method. These researchers stated that yield reduction varies depending on management methods, soil type and weather conditions, and weed and water management had the greatest impact on yield. In similar results, Hosseini et al. reported that DSR method reduced the rice grain yield by 42.9% compared with TPB.
Factor . | Grain yield (kg·ha−1) . | Total water input (m3·ha−1) . | Total water productivity (kg·m−3) . |
---|---|---|---|
Planting method (PM) | |||
TPB | 3,962.7a | 7,181.9c | 0.56a |
TNPB | 3,171.1b | 7,517.3b | 0.43b |
DSR | 2,884.8b | 8,682.4a | 0.34c |
Irrigation system (IS) | |||
CFI | 3,457.6a | 9,835.0a | 0.37c |
AWD | 3,410.3a | 7,397.0b | 0.47b |
DI | 3,150.7b | 6,149.7c | 0.51a |
PM × IS | |||
TPB + CFI | 4,079.2a | 8,441.3c | 0.49bc |
TPB + AWD | 4,031.2a | 7,105.3e | 0.57a |
TPB + DI | 3,729.2ab | 6,595.5f | 0.62a |
TNPB + CFI | 3,351.7bc | 9,638.0b | 0.35d |
TNPB + AWD | 3,175.0bcd | 6,905.0f | 0.47c |
TNPB + DI | 2,986.7cd | 5,998.6g | 0.50bc |
DSR + CFI | 2,941.7cd | 11,435.7a | 0.26e |
DSR + AWD | 2,736.0d | 8,180.7d | 0.33de |
DSR + DI | 2,976.7cd | 7,920.7e | 0.38cd |
Factor . | Grain yield (kg·ha−1) . | Total water input (m3·ha−1) . | Total water productivity (kg·m−3) . |
---|---|---|---|
Planting method (PM) | |||
TPB | 3,962.7a | 7,181.9c | 0.56a |
TNPB | 3,171.1b | 7,517.3b | 0.43b |
DSR | 2,884.8b | 8,682.4a | 0.34c |
Irrigation system (IS) | |||
CFI | 3,457.6a | 9,835.0a | 0.37c |
AWD | 3,410.3a | 7,397.0b | 0.47b |
DI | 3,150.7b | 6,149.7c | 0.51a |
PM × IS | |||
TPB + CFI | 4,079.2a | 8,441.3c | 0.49bc |
TPB + AWD | 4,031.2a | 7,105.3e | 0.57a |
TPB + DI | 3,729.2ab | 6,595.5f | 0.62a |
TNPB + CFI | 3,351.7bc | 9,638.0b | 0.35d |
TNPB + AWD | 3,175.0bcd | 6,905.0f | 0.47c |
TNPB + DI | 2,986.7cd | 5,998.6g | 0.50bc |
DSR + CFI | 2,941.7cd | 11,435.7a | 0.26e |
DSR + AWD | 2,736.0d | 8,180.7d | 0.33de |
DSR + DI | 2,976.7cd | 7,920.7e | 0.38cd |
Means in columns followed by the same letter(s) are not significantly different by least significant difference (LSD) at p < 0.05.
The results suggested that the plants grown under CFI and AWD indicated 8.9% and 7.6% higher yield when compared with DI-treated plants. However, there were no significant differences in rice grain yield between CFI and AWD treatments, whereas the DI treatment resulted in a significant yield reduction (Table 9). The results of the present work are in line with the findings of He et al. (2013), who reported that DI system resulted in greater water use efficiency (WUE) and higher economic benefit in rice, but yield was lower when compared with CFI system. In similar results, Ishfaq et al. (2020) found that the application of either CFI or AWD could enhance rice grain yield. Carrijo et al. (2017) observed similar increased grain yield under AWD compared with CFI with a significant increase in water-saving under AWD. In another study, Maneepitak et al. (2019) suggested that the rice plants under AWD showed higher grain yield in both wet (15%) and dry (7%) seasons when compared with plants grown under CFI.
The difference in yields among irrigation management systems in each of the planting methods was not significant. Overal, the higher grain yield was observed at TPB under CFI (4,079.2 kg·ha−1) followed by statistically similar yield at TPB under AWD (4,031.2 kg·ha−1) and at TPB under DI (3,729.2 kg·ha−1). The findings of present study that the grain yield exhibited a significant increase at TPB under CFI was consistent with Kiani et al. (2022) who documented that the rice grain yield was significantly higher at traditional TPR under flooding irrigation than other production systems. These researchers also mentioned that changing the planting method from TPR to DSR in all irrigation systems led to a significant reduction in yield.
Total water input and water productivity
Total water input (TWI) was highly significantly (p < 0.01) affected by the two-way interaction between planting method and irrigation system as well as the individual impacts of planting method and irrigation system (Table 8).
The DSR practice resulted in the highest TWI (8,682.4 m3·ha−1), as shown in Table 9. The plots at DSR showed 13.4% and 17.3% higher TWI than TNPB and TPB, respectively. However, the TPB treatment achieved significant water-saving compared with the TNPB and DSR treatments with an average of 335.4 m3·ha−1 (4.5%) and 1,500.5 m3·ha−1 (17.3%), respectively. The reduction of water consumption at TPB method can be due to the increase in the water holding capacity in the soil through puddling compared with two production systems without puddling in this study. Non-puddling soils may be losing their moisture quickly and eventually become dry soils. Soil drying may also cause contraction and cracking, resulting in increased soil water waste (Wu et al. 2017). Kiani et al. (2022) observed that changing the planting method from TPR to DSR resulted in an increase in WI and a 40% reduction in yield. By contrast, Liu et al. (2015) revealed that not only the WI at DSR was 15% less than conventional planting, but also the yield was similar in both planting systems.
Our results indicated that the plots maintained under CFI had significantly greater TWI than AWD and DI treatments. Previous studies have documented that CFI in paddy fields leads to more water loss due to seepage and penetration (Shao et al. 2015). The AWD and DI systems reduced the TWI by 24.8% and 37.5% compared with CFI. However, the largest volume of water-saving was obtained under DI system. Padmanabhan (2019) reported that the DI system increased water-saving by 66.3% compared with CFI. In another research, Kruzhilin et al. (2015) mentioned that the DI system showed higher water-saving capacity by reducing WI (60–80% reduction) when compared with CFI. Ishfaq et al. (2020) demonstrated that the plots under AWD at TPR indicated lower TWI compared with CFI at same production method. Maneepitak et al. (2019) reported that the AWD resulted in a 19 and 39% increase in water-savings in wet and dry seasons, respectively, compared with CFI. Carracelas et al. (2019) also found that TWI was reduced by 13.9% under AWD compared with traditional CFI. AWD in rice planting to save irrigation water by 40.7% has been suggested by Monaco & Sali (2018) in northern Italy. In general, rice cultivation under DI system resulted in a significant reduction in TWI in this study, but at the same time, it was faced with a severe drop in yield, thus the AWD can be a feasible option to reduce the TWI while maintaining yield.
In all three planting methods, TWI was higher under CFI than AWD and DI. The higher TWI was recorded at DSR under CFI (11,435.7 m3·ha−1) followed by at TNPB under CFI (9,638.0 m3·ha−1) and at TPB under CFI (8,441.3 m3·ha−1). AWD and DI determined a significant TWI reduction at TPB (15.8% and 21.9%), TNPB (28.3% and 37.8%), and DSR (28.5% and 30.7%) when compared with CFI. However, the lowest water-saving was observed under CFI in all three planting methods, which can be caused by more water losses through seepage, percolation, and evaporation (Shao et al. 2015). Kiani et al. (2022) observed the higher water consumption (12,490 m3·ha−1) at DSR under CFI, which is consistent with the results of this research.
Total water productivity (TWP) was not affected by the interaction between planting method and irrigation system; however, the individual effects of planting method and irrigation system was highly significant (p < 0.01) on TWP (Table 8).
In our study, the TPB reduced TWI with a corresponding increase in TWP. The TWP at TPB was 23.2% and 39.3% higher than TNPB and DSR, respectively (Table 9). The higher TWP at TPB method can be attributed the greater grain yield and lower TWI. Puddling operation enhances irrigation efficiency and WP due to less percolation losses (Monaco & Sali 2018). Wu et al. (2017) reported that one of the strategies of water management was puddling soil to reduce percolation and seepage losses.
In the present research, the plots maintained under CFI indicated lowest TWP (0.37 kg·m−3). AWD and DI systems resulted in an increase in TWP by 21.3% and 27.4%, respectively, when compared with CFI. Although the TWP under AWD was lower than that of DI, the AWD could be improving TWP without yield decline. The results showed that in all three planting management strategies, there was no significant difference in TWP between DI and AWD systems. The TWP was higher under DI than CFI in all three planting methods, whereas the TWP under AWD was significantly higher than CFI only at TPB and TNPB (Table 9). The higher volume of TWI under CFI conditions during the growing season led to a significant decrease in TWP. In other hand, the lower TWI under AWD and DI systems resulted in higher TWP. Drip irrigation by reducing water loss due to evaporation from a large area of land leads to a reduction in WI and an increase in WP for crops (Bansal et al. 2018). Previous studies indicated a significant enhance in WP by reducing the volume of WI under DI system (Padmanabhan 2019). Carrijo et al. (2017) mentioned that the AWD system decreased TWI by 39% and enhanced TWP by 77% in the dry season, when compared with CFI. Ishfaq et al. (2020) also observed that the WP was higher under AWD than CFI at both production system (TPR and DDSR) due to higher grain yield and lower TWI. The impacts of planting and irrigation management strategies on rice in selected papers in present study are presented in Table 10.
Management . | Impacts . | References . |
---|---|---|
AWD | Reduced WI and Increased WP compared with CFI | Ishfaq et al. (2020) |
AWD | Increased water-saving by 40.7% compared with CFI | Monaco & Sali (2018) |
CFI | Increased WI and reduced WP compared with AWD, Produced similar yield with AWD | Pourgholam-Amiji et al. (2021) |
CFI | Increased rice yield and TWI by 15% and 13.9%, respectively, compared with AWD | Carracelas et al. (2019) |
CFI | Enhanced grain yield of rice by 13.5% compared with DI | Hosseini et al. (2022) |
CFI | Increased WI by 60–80% compared with DI | Kruzhilin et al. (2015) |
DI | Increased water-saving by 66.3% compared with CFI | Padmanabhan (2019) |
DI | Increased WP compared with CFI and AWD | Rao et al. (2017) |
DI | Reduced TWI by 30.7% and increased WUE by 38% compared with CFI | Bansal et al. (2018) |
DI | Decreased grain yield of rice by 11% and increased WP by 22% compared with CFI | Kiani et al. (2022) |
DSR | Decreased grain yield of rice by 40% and increased WI compared with TPR | Kiani et al. (2022) |
DSR | Decreased grain yield of rice by 33.5% and 42.9% compared with TPB and TNPB, respectively | Hosseini et al. (2022) |
TPB | Enhanced grain yield of rice by 12% compared with DSR | Xu et al. (2019) |
TPB | Enhanced grain yield of rice by 14.2% compared with TNPB | Hosseini et al. (2022) |
Management . | Impacts . | References . |
---|---|---|
AWD | Reduced WI and Increased WP compared with CFI | Ishfaq et al. (2020) |
AWD | Increased water-saving by 40.7% compared with CFI | Monaco & Sali (2018) |
CFI | Increased WI and reduced WP compared with AWD, Produced similar yield with AWD | Pourgholam-Amiji et al. (2021) |
CFI | Increased rice yield and TWI by 15% and 13.9%, respectively, compared with AWD | Carracelas et al. (2019) |
CFI | Enhanced grain yield of rice by 13.5% compared with DI | Hosseini et al. (2022) |
CFI | Increased WI by 60–80% compared with DI | Kruzhilin et al. (2015) |
DI | Increased water-saving by 66.3% compared with CFI | Padmanabhan (2019) |
DI | Increased WP compared with CFI and AWD | Rao et al. (2017) |
DI | Reduced TWI by 30.7% and increased WUE by 38% compared with CFI | Bansal et al. (2018) |
DI | Decreased grain yield of rice by 11% and increased WP by 22% compared with CFI | Kiani et al. (2022) |
DSR | Decreased grain yield of rice by 40% and increased WI compared with TPR | Kiani et al. (2022) |
DSR | Decreased grain yield of rice by 33.5% and 42.9% compared with TPB and TNPB, respectively | Hosseini et al. (2022) |
TPB | Enhanced grain yield of rice by 12% compared with DSR | Xu et al. (2019) |
TPB | Enhanced grain yield of rice by 14.2% compared with TNPB | Hosseini et al. (2022) |
CONCLUSIONS
Our findings indicated that TPB could help significant increase in the total tillers number per hill, panicle number per hill, filled grains number per panicle, and 1,000-grain weight leading towards higher grain yield by 20% and 27.2% compared with TNPB and DSR methods, respectively. The DSR treatment had the highest total water input and the lowest total water productivity, while the TPB method increased the water-saving by 4.5% and 17.3%, respectively, compared with the TNPB and DSR treatments. Also, the total water productivity at TPB was 23.2% and 39.3% higher than TNPB and DSR, respectively. The grain yield in two CFI and AWD systems was similar and had no significant difference with each other, while the yield obtained from DI treatment was significantly lower than the CFI and AWD techniques. The AWD system could be recommended without a significant reduction in grain yield (1.36% reduction) along with an increase in water-saving (24.8% increase) and enhance in total water productivity (21.3% increase) when compared with CFI. In general, the results indicated that choosing the appropriate planting method is of greater importance in improving grain yield and using the correct irrigation system has a vital role in increasing water-saving. Therefore, TPB method under AWD system is recommended to reducing total water input and increasing grain yield for Indica rice in Iran.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.