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Research Detail

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S.M.T. Mustafa
Vrije Universiteit Brussel, Department of Hydrology & Hydraulic Engineering, Pleinlaan 2, 1050 Brussels, Belgium

E. Vanuytrecht
KU Leuven, Department of Earth and Environmental Sciences, Celestijnenlaan 200 E, B-3001 Leuven, Belgium

M. Huysmans
Vrije Universiteit Brussel, Department of Hydrology & Hydraulic Engineering, Pleinlaan 2, 1050 Brussels, Belgium

Proper utilization of water resources is very important in agro-based and drought-prone Bangladesh. Sustainable use of water resources in agriculture requires irrigation schedules based on local environmental conditions, soil type and water availability. In this study, the water productivity model AquaCrop was used to simulate different water and fertilizer management strategies in a drought prone area of Bangladesh to obtain management recommendations. First, the Standardised Precipitation Index (SPI) and Reconnaissance Drought Index (RDI) were determined to quantify the aggregated deficit between precipitation and the evaporative demand of the atmosphere, which confirm that meteorological drought is occurring frequently in the study area. Also, the AquaCrop model was successfully calibrated and validated for wheat in the area, which was confirmed by the several statistical indicators, and could be used to design water and fertilizer management strategies. Simulations identified stem elongation (jointing) to booting and flowering stage as the most water sensitive stages for wheat. Deficit irrigation during the most water sensitive stages could increase the interannual yield stability and the grain yield compared to rainfed conditions for different soil fertility levels on loamy and sandy soils by 21–136% and 11–71%, respectively, while it could increase water productivity compared to full irrigation strategies. Deficit irrigation resulted in grain yields almost equal to yields under full irrigation and could at the same time save 121–197 mm of water per growing season. Specifically, we suggest two irrigation applications: one at the stem elongation (jointing) to booting stage and another at the flowering stage for loamy soils; and one at the end of seedling development to the beginning of crown root initiation stage and another at the flowering stage for sandy soils. Given the water scarcity in the region, instead of optimal fertility levels, moderate fertility levels are recommended that result in 60% of the potential biomass production for loamy soils and in 50% for sandy soils in combination with the suggested deficit irrigation strategies.

  AquaCrop, Crop-water modelling, Drought-prone area, Deficit irrigation, Wheat, Bangladesh
  Dhaka, Mymensigh, Rajshahi and Rangpur, Bangladesh
  
  
  Crop-Soil-Water Management
  Water requirement, Wheat

This study includes the following parts: (i) calibration and validation of the AquaCrop model for wheat in Bangladesh, (ii) assessment of the net irrigation requirement of wheat, (iii) assessment of the most water sensitive stage of wheat,(iv)identification of the effects of different irrigation and field management scenarios on grain yield and water productivity and (v) design of an efficient deficit irrigation strategy and a deficit irrigation schedule.

2.1. Study area and climate Bangladesh is situated between 200 and 270 N latitude and 880 and 930 E longitude. Of the three ecological zones in Bangladesh, the plains are most suitable for crop production. Four districts within the plains zone were selected as study area (Dhaka, Mymensigh, Rajshahi and Rangpur). The districts (i) are situated in a drought prone region, (ii) use groundwater as the major source for irrigation and drinking water and (iii) have sufficient climatic and hydrological data available. The area is characterized by a subtropical climate with mean annual temperature of 24.8–26.8 0C and average yearly rainfall of 2095–2246 mm which is concentrated between April and October. Although average annual rainfall is high, rainfall during the wheat growing period (December–March) is very low. Mean monthly rainfall during the wheat growing period varies between 44 and 75 mm among the study locations, while mean monthly evapotranspiration varies between 119 and 132 mm.

2.2. Meteorological drought assessment Standardized precipitation index (SPI) (McKee et al., 1993) and reconnaissance drought index (RDI) (Tsakiris et al., 2007) methods have been used to identify meteorological drought and to assess anomalies of precipitation and evapotranspiration. Thirtytwo years (1979–2011) of daily precipitation, daily temperature (maximum, minimum), wind speed and other climatic data were collected from the Bangladesh Meteorological Department (BMD) for four selected stations in the study area. Reference evapotranspiration (ET0) was calculated using the FAO-Penman-Monteith equation (Allen et al., 1998) using temperature, sunshine hours, wind speed, and humidity data (Eq. (1)).

2.3. Field experiments Field experiments were conducted at the experimental farm of the Bangladesh Agricultural University (BAU) at Mymensingh (24.75 0N latitude, 90.50 0E longitude and 18 m above mean sea level) during the wheat growing seasons (December–March) of 2007–2008 and 2008–2009. Wheat was sown respectively on 20 and 6 December for growing season I and II. During the wheat growing season (December–March), rainfall was respectively 0 mm, 36.60 mm, 5.40 mm and 95.30 mm per month in 2007–2008 while in 2008–2009 rainfall occurred only in March: 18.1 mm. Mean daily evaporation was between 1.89 mm day−1 and 3.84 mm day−1. Mean monthly maximum temperature is between 25 and 27 0C while mean monthly minimum temperature was 15 0C.

2.3.1. Field preparation and soil type The study area was divided into three blocks with a distance of 2 m between the adjacent blocks. Each block was subdivided into 5 unit plots each of size 1 m2. The distance between two adjacent unit plots was 2 m. There were fifteen plots in total. A pit of 1 m2 area with a depth of 0.6 m was dug in each plot. The field experiments were performed for five soils with different soil textures: loamy sand (exogenous natural material; T1), sandy loam (T2), loam 1 (T3), loam 2 (T4), and silty loam (control = natural soil in the experimental field; T5). The natural soil (silt loam) dug out from the plots was thoroughly mixed manually with loamy sand as amendment. Loamy sand (T1) was collected from the shore of a local perinnial river (old Brahmaputra), sundried and sieved with a 2-mm mesh to remove any debris from it. It was added as source of coarse textured materialto the finer textured endogenous soil (silty loam, T5) to prepare the soils for treatments T2, T3 and T4(by mixing 75, 50 and 25 percent of loamy sand with silty loam). A polyethylene sheet was placed on the four vertical sides of the pits to prevent seepage of water. Three pits were filled with the airdried loamy sand (T1), three others with dug out silt loam (natural soil, T5) and the rest of the pits were filled with the mixture of silt loam and loamy sand at different percentages. The soil in the field below the 0.6 m is silt loam. The treatments were replicated three times and the experiments were set up in a Randomized Complete Block Design (RCBD).

Soil moisture content at the field capacity of each soil treatment was measured according to the TDR method using a Trime FM moisture meter. The physical characteristics of the different soil treatments were derived using pedotransfer functions using information on particle size distribution (determined by the hydrometer method), and organic carbon content (Saxton and Rawls, 2006) (Table 1). The physical properties obtained from pedotransfer functions are used in further simulation. Water content at field capacity and organic carbon increased with increasing clay and silt content of the treatments. This is also confirmed by soil-water retention curves of different treatments from the same experiments (Mojid et al., 2012; Mustafa, 2009). wheat was cultivated using nutricoat fertilizer containing Urea, TSP, MP and Gypsum @ 200, 160, 50 and 120 kg ha−1 respectively as recommended by Hussain et al. (2006). Cow dung @ 8.5 t ha−1 was also used during land preparation. A wheat variety called Shatabdi, developed by the Bangladesh Agricultural Research Institute was cultivated with the standard intercultural operation.

2.3.2. Irrigation management Wheat was irrigated using the check basin method also known as border irrigation. In this method, the irrigated field is surrounded by soil embankments that limit surface runoff. Irrigation was scheduled based on crop water requirements (quantity of water required to minimize water stress for the crop) and observations of soil moisture in the first 20 cm depth. Soil water content was recorded at sowing, before each irrigation, immediately after the irrigation, and 48 h after irrigation or rainfall. It was also measured at the time of harvesting to know the final soil-water content at the end of the crop growth. Four irrigations per season were applied during the first and the second year experiment. Available soil moisture was also measured with the Trime FM moisture meter in all treatments before irrigation. Irrigation was applied based on the quantity of water required to reach field capacity for each plot. The 1st, 2nd, 3rd, and 4th irrigation were applied respectively at 23, 53, 61, and 72 DAS in the first year and 19, 45, 62, and 77 DAS in the second year. The required quantity of water for a plot in each irrigation was calculated by using the formula.

2.3.3. Data recording Several crop, irrigation and soil measurements were made during the field experiments. Leaf area index (LAI) defined by Redford (1967) was measured for each plot in the second year. The leaves often representative plants were collected from each plot at 75 DAS and their total area was measured using a leaf area meter (give specifications of the meter here). The total area covered by the ten plants was calculated from the density of plant population. Finally, the LAI was calculated as a ratio of leaf area to the ground area. Then, this calculated LAI was converted to canopy cover (CC) using the relationship between LAI and CC defined by Hsiao et al. (2009) and Heng et al. (2009).

  Agricultural Water Management 191 (2017) 124–137
  
Funding Source:
1.   Budget:  
  

In this study, strategies to improve water productivity of wheat in a drought-prone area of Bangladesh were formulated. Deficit irrigation during water-sensitive stages (booting and flowering) could increase grain yield by 11% to 136% depending on soil type and fertility level in comparison with rainfed production. Moreover, deficit irrigation could save 121–197 mm of water per growing season as compared to full irrigation. Given the critical condition of the available irrigation water and the cost of fertilizers, we suggested 2 irrigation applications, one at stem elongation (jointing) to booting stage and another at flowering for loamy soil and 2 irrigation applications, one at the end of seedling development to the beginning of crown root initiation stage and another at flowering for sandy soil. Moderate to near-optimal fertility levels are recommended for loamy soil and about half to moderate fertility level for sandy soil with the suggested deficit irrigation strategies. The design of irrigation schedules in this study may help farmers to provide adequate and timely irrigation to the crop and simultaneously limit irrigation water use. In the future, farmers could produce more different crops on different fields by saving irrigation water from one field to apply it in another field by using a deficit irrigation schedule during drought conditions. 

  Journal
  


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