Study area
The water footprint of groundnut varieties cultivated in Tiruchirapalli District of Tamil Nadu, India was estimated in this study. Tiruchirappalli District is a centrally located district in Tamil Nadu State, has an area of 4403.83 km
2. The topography of Tiruchirappalli District is almost plain except for the short range of Pachaimalai hills in the North. Tiruchirapalli district is located between 10
o00'N and 11
o 30'N and 77
o45'E and 78
o50'E and 78 m above mean sea level. Tiruchirappalli district is agriculturally rich due to the availability of fertile lands and presence of perennial rivers. Agriculture is the main occupation of major population in the study area. Agriculture sector provides the major source of income to the population and the major crops are paddy, banana, sugarcane, cotton, groundnut, maize
etc. Oilseeds are also one of the major crops cultivated in the study area. It includes groundnut (6232 ha), gingely (1567 ha), castor (255 ha) and sunflower (85 ha) crops. Fig 1 shows the district area coverage of oilseeds in which groundnut is the major oil seed crop cultivated in the study area. TMV and VRI are the promising varieties of groundnut cultivated. It is sown during the month of June-July (Anippattam) (
Kharif season) and December-January (Margazhipattam) (
Rabi season). TMV 7, VRI 2, VRI Gn 5, VRI Gn 6, TMV Gn 13 are the varieties sown during June-July. TMV 7, CO 3, CO Gn 4, VRI 2, VRI 3, ALR 3, VRI Gn 5, VRI Gn 6, TMV Gn 13 are the varieties sown during December-January. A detailed description of the varieties
via duration (days), average yield of pods under rainfed and irrigated condition (kg/ha), shelling percentage and oil content percentage is given in Table 1 and 2.
Estimation of crop water requirement using CROPWAT 8.0
CROPWAT 8.0 was used to estimate the crop water requirement. Firstly, monthly reference evapotranspiration was estimated by Penman Monteith equation
(Allen et al., 1998) in CROPWAT 8.0 window from the meteorological data collected from the observatory. The equation for estimating the daily grass-reference evapotranspiration is given as follows:
![](data:image/png;base64,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)
..........(1)
Where;
ET
0 = Reference evapotranspiration [mm day
-1], R
n = Net radiation at the crop surface [MJ m
-2 day
-1], G = Soil heat flux density [MJ m
-2 day
-1], T = Mean daily air temperature [°C], u = Wind speed at 2 m height [m s
-1], e
s = Saturation vapour pressure [kPa], e
a = Actual vapour pressure [kPa], e
s-e
a= Saturation vapour pressure deficit [kPa], D = Slope of vapour pressure curve [kPa °C
-1], g= Psychrometric constant [kPa °C
-1].
The full dataset for 22 years (1995-2017) collected from the meteorological observatory located at Agricultural Engineering College and Research Institute, Kumulur, Lalgudi Taluk, Trichy were used in estimating reference evapotranspiration.
The effective rainfall (P
eff) was calculated by using Soil Conservation Service method of the United States Department of Agriculture (USDA SCS) as it is one of the most widely used methods. The rainfall data for 22 years (1995-2017) was also collected from the meteorological observatory located at Agricultural Engineering College and Research Institute, Kumulur, Lalgudi Taluk, Trichy.
The crop evapotranspiration (ET
c) under optimal conditions was estimated which is equal to crop water requirement (CWR). Optimal means disease-free, well-fertilized crops, grown in large fields, under optimum soil water conditions and achieving full production under the given climatic conditions. ET
c was estimated at a ten day time step throughout the total growing season as mentioned by
Michael (1978) as follows:
ETC = ET0 KC ..........(2)
Where;
ET
o= Represents the reference evapotranspiration and K
c= Refers to the crop coefficient. The crop coefficient is calculated by two methods as explained below.
FAO56 Tabulated Kc
Crop coefficients are used to estimate the crop water requirement. Generally, the value of crop coefficient is taken from the FAO Crop Evapotranspiration guidelines
(Allen et al., 1998) for different crops at different stages and the crop water requirement is calculated. The value of Kc for groundnut was taken from the tabulated K
c values given in the FAO Crop Evapotranspiration guidelines (Allen
et al., 1998) for different crops at different stages.
Estimation of blue and green water evapotranspiration
Subsequently the green water evapotranspiration (ET
green) was calculated as the minimum of total crop evapotranspiration (ET
c) and effective rainfall (P
eff), with a ten day time step. The total green water evapotranspiration is obtained by summing up ET
green over the growing period
(Hoekstra et al., 2011).
ETgreen = min (ETc, Peff) ..........(3)
The blue water evapotranspiration (ET
blue) is estimated as the difference between the total crop evapotranspiration (ET
c) and the total effective rainfall (P
eff) on a daily basis
(Hoekstra et al., 2011).
ETblue = max (0, ETc-Peff) ..........(4)
When the effective rainfall is greater than the crop total crop evapotranspiration, ET
blue is equal to zero. The total blue water evapotranspiration is obtained by adding ET
blue over the whole growing period
(Hoekstra et al., 2011).
Estimation of crop water footprint
The water footprint of a product is defined as the total volume of fresh water that is used directly or indirectly to produce the product. The estimated crop evapotranspiration in mm is converted to m
3 ha
-1 by applying a factor 10 which is called as crop water use
(Hoekstra et al., 2011).
CWUgreen = 10* ETgreen ..........(5)
CWUblue = 10* ETblue ..........(6)
The green component in the process water footprint of a crop (WF
proc,green, m
3 ton
-1) was calculated as the green component in crop water use (CWU
green, m
3 ha
-1) divided by the crop yield Y (ton ha
-1). The blue component of water footprint (WF
proc,blue, m
3 ton
-1) was also calculated from blue component in crop water use (CWU
green, m
3 ha
-1) in the similar way. The equations used are listed below
(Hoekstra et al., 2011).
![](data:image/png;base64,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)
..........(7)
The yield under rainfed and irrigated conditions for different varieties is shown in Table 1 and 2, respectively. Thus the crop water footprint for groundnut varieties is estimated by the above methodology.
![](data:image/png;base64,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)
..........(8)