Study area
The study area selected for the estimation of irrigation water requirement was Southern Odisha located between longitude 72°97¢ to 85°05¢E and latitude 18°34¢ to 20°66¢ N. The meteorological data of Koraput was used which is located between longitude 81°24.2¢ E to 84.2° E and latitude 17°4¢ N to 20°7¢ N. This area is mainly dominated by red and lateritic soils.
Methodology
The CROPWAT 8.0 model developed by the Department of Land and Water Resources of FAOis a computer program for the calculation of crop water demand based on soil, climate and crop data. In addition, the program allows the development of irrigation schedules for different management conditions and the calculation of scheme water supply for varying crop patterns (
Roja et al., 2020a). CROPWAT 8.0 can also be used to evaluate farmers irrigation practices and to estimate crop performance under both rainfed and irrigated condition. The basic functions of this model include estimation of reference evapo-transpiration, crop evapo-transpiration and irrigation water requirement.
Data used for estimation of ETo
Monthly climatic data
viz, minimum temperature, maximum temperature, relative humidity, wind velocity, duration of bright sunshine hours of Koraput located in studyarea was used (Table 1) for the estimation of reference evapo-transpiration (ETo) using Penman-Monteith formula by FAO CROPWAT 8.0.
Rainfall data
Monthly rainfall data of Koraputwas used for calculation of effective rainfall (Table 1). USDA soil conservation method is used in this software .
USDA Soil Conservation Service formula:
Case 1: Peff = Pmon * (125 - 0.2 * Pmon) / 125
(If Pmon<= 250 mm)
Case 2: Peff = 125 + 0.1 * Pmon (If Pmon > 250 mm)
Peff = Effective Precipitation
Pmon = Monthly Precipitation
Crop data
In Southern Odisha, during
rabi season, the cultivation of crops usually begins after the harvest of
kharif rice. In general,
rabi maize, sorghum and pearl millet are sown around 15th of November and theses crops - maize, sorghum and pearl millet take 120, 110 and 100 days respectively to complete their life cycle. Duration and sowing date mentioned in the software helps to determine the phenophase of the crops. At each phenophase Kc value, rooting depth (m), critical depletion value and crop yield response factor were decided based on the duration of the crops (
Doorenbos and Kassam, 1979) and presented in the Table 2. The yield response factor (Ky) is the ratio of relative yield reduction to relative evapo-transpiration deficit that integrates the weather, crop and soil conditions that make crop yield less than its potential yield in the face of deficit evapo-transpiration also estimated in the model. The crop data used in this experiment were presented in Table 3.
Soil data
The soils in Koraputare mainly of two types 1) Alfisols, 2) Ultisols (
DLIC, 2016). In the present study, red sandy loam soils were considered based on their predominance in this region. The total available soil moisture, maximum infiltration rate, maximum rooting depth, initial soil moisture depletion of this soil type were in the tune of 100 mm/meter, 30 mm/day, 900 cm, 50 per cent, respectively and the initial soil moisture was 50 mm/meter which is 50% of available soil moisture.
Crop water requirement
The crop water requirement for the given crop duration was computed using the input
viz. climate, crop and soil data of the region. The crop evapo-transpiration (ETc) was calculated by the equation:
Where,
Kc is the crop coefficient, ETc is crop evapo-transpiration and ETo is reference evapo-transpiration. Difference between crop evapo-transpiration and the effective rainfall determines the total irrigation requirement of the crop.
Irrigation scheduling
Irrigation scheduling determines when to irrigate and how much amount of water to be given to the crop at each irrigation. In this study, irrigation was scheduled at 50 per cent critical soil moisture depletion and irrigation was applied till the soil is refilled to field capacity at 70 per cent efficiency.