scholarly journals Estimation of Reference Evapotranspiration (ETo) and Crop Water Requirement of Major Kharif Cereals of Marathwada Region, Maharashtra

2019 ◽  
Vol 8 (02) ◽  
pp. 2441-2448
Author(s):  
S.V. Phad ◽  
K.K. Dakhore ◽  
R.S. Sayyad
Keyword(s):  
Reference Evapotranspiration ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Water

scholarly journals Temporal Downscaling of Crop Coefficient and Crop Water Requirement from Growing Stage to Substage Scales

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Songhao Shang
Keyword(s):  
Water Management ◽  
Reference Evapotranspiration ◽  
Crop Coefficient ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Evapotranspiration ◽  
Agricultural Water ◽  
Crop Water ◽  
Agricultural Water Management

Crop water requirement is essential for agricultural water management, which is usually available for crop growing stages. However, crop water requirement values of monthly or weekly scales are more useful for water management. A method was proposed to downscale crop coefficient and water requirement from growing stage to substage scales, which is based on the interpolation of accumulated crop and reference evapotranspiration calculated from their values in growing stages. The proposed method was compared with two straightforward methods, that is, direct interpolation of crop evapotranspiration and crop coefficient by assuming that stage average values occurred in the middle of the stage. These methods were tested with a simulated daily crop evapotranspiration series. Results indicate that the proposed method is more reliable, showing that the downscaled crop evapotranspiration series is very close to the simulated ones.

scholarly journals Study on crop water requirement of field crops under different climatic conditions of Madhya Pradesh

2018 ◽  
Vol 8 (03) ◽  
Author(s):  
Deepika Yadav ◽  
M. K. Awasthi ◽  
R. K. Nema
Keyword(s):  
Irrigation Water ◽  
Reference Evapotranspiration ◽  
Climatic Conditions ◽  
Water Requirement ◽  
Madhya Pradesh ◽  
Crop Water Requirement ◽  
Crop Water ◽  
Field Crops ◽  
Aquacrop Model ◽  
Daily Weather Data

Improved and efficient irrigation water management through precise estimation of crop water requirement has a vital role to play in ensuring food security. However, the crop water requirement data of field crops are not locally available. In view of this, present investigation was aimed at quantifying the crop water requirement of rabi and kharif season crops grown under paired row planting in different agro climatic conditions of Madhya Pradesh. The crop water requirement was calculated based on the already developed crop coefficient and reference evapotranspiration. Daily weather data of 35 years (1979 to 2013) for twenty districts of Madhya Pradesh was collected to determine the reference evapotranspiration using Aquacrop model. The study revealed that the daily ETo increased continuously from 1st SMW to its maximum values during 21st-22nd SMW, thereafter decreased sharply and remains low from 30th to 34th SMW in all selected districts. The highest value of ETo (11.0 mm day-1) was found in Datia at 21st SMW and lowest in Betul i.e. 2.2 mm day-1 at 32nd SMW. The daily water requirement estimates showed that the water requirement of chickpea, wheat and lentil i.e. 1.73 lpd, 0.70 lpd and 0.49 lpd respectively is highest in Jabalpur. Sugarcane has the highest water requirement 13.56 lpd in Narsinghpur during mid season. In all kharif crops cotton has highest water requirement 6.53 lpd in Harda followed by sesame and groundnut i.e. 2.75 lpd and 2.46 lpd respectively in Datia. These results can be used in efficient management of irrigation water under drip irrigation system in selected district of Madhya Pradesh.

scholarly journals Ascertaining Predictability Cognizance for the Prediction of Reference Evapotranspiration

2019 ◽  
Vol 9 (1S3) ◽  
pp. 170-173
Keyword(s):  
Mean Squared Error ◽  
Reference Evapotranspiration ◽  
Irrigation Schedule ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Water ◽  
Time Step ◽  
Squared Error ◽  
Artificial Neural Network Ann ◽  
Single Predictor

Reference evapotranspiration (ET0) is a rudimental variable in the estimation of crop water requirement, and preparation of irrigation schedule. Prediction of ET0 is a necessitous one for estimation of crop water requirement in future time step. In this paper ET0 is predicted using Artificial Neural Network (ANN) by different inputs Like Temperature, Cloud cover, Vapor pressure, Precipitation and its combinations by various models. Before prediction, the predictability of all the input time series is calculated individually and the effect of predictability on prediction is analyzed in models having single predictor. In spite of inserting additional predictor in input, the reason for increase of Root mean squared error is justified in terms of predictability in the models having multiple predictors. Also it is seen that the performance of models with multiple predictors is better when compared to single predictor models in the estimation of ET0.

scholarly journals Trend of Crop Water Requirement at Akola (Maharashtra), India

2017 ◽  
Vol 9 (1) ◽  
pp. 441-444
Author(s):  
J. N. Lokhande ◽  
M. U. Kale ◽  
S. B. Wadatkar
Keyword(s):  
Reference Evapotranspiration ◽  
Linear Trend ◽  
Winter Season ◽  
Water Requirement ◽  
Summer Season ◽  
Crop Water Requirement ◽  
Maximum Temperature ◽  
Change Scenario ◽  
Crop Water ◽  
Increasing Trend

Climate change scenario badly affects the agriculture. The present study aimed to characterize the trend in maximum temperature and crop water requirement over a last decade at Akola station (Maharashtra State), because of changing trend in meteorological parameters. Study investigated the trends in temperature and reference evapotranspiration using various statistical parameters like mean, coefficient of variation, coefficient of skewness and coefficient of kurtosis. Monthly maximum air temperature showed slightly decreasing trend over summer season while increasing trend over monsoon and winter season. On the contrary, the monthly reference evapotranspiration showed decreasing linear trend over monsoon and winter season, while increasing trend over summer season. The study concluded that as the monthly reference evapotranspiration showed decreasing linear trend over cropping seasons (i.e. monsoon and winter), the crop water requirement at Akola station shall decrease in future.

Irrigation Scheduling Based on Evaporation and Crop Water Requirement for Summer Peanuts1

1984 ◽  
Vol 11 (1) ◽  
pp. 4-6 ◽  
Author(s):  
D. K. Pahalwan ◽  
R. S. Tripathi
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
Irrigation Scheduling ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Pan Evaporation ◽  
Crop Water ◽  
Formation Stage ◽  
Evaporation Ratio ◽  
Pod Development

Abstract Field experiment was conducted during dry season of 1981 and 1982 to determine the optimal irrigation schedule for summer peanuts (Arachis hypogaea L.) in relation to evaporative demand and crop water requirement at different growth stages. It was observed that peanut crop requires a higher irrigation frequency schedule during pegging to pod formation stage followed by pod development to maturity and planting to flowering stages. The higher pod yield and water use efficiency was obtained when irrigations were scheduled at an irrigation water to the cumulative pan evaporation ratio of 0.5 during planting to flowering, 0.9 during pegging to pod formation and 0.7 during pod development to maturity stage. The profile water contribution to total crop water use was higher under less frequent irrigation schedules particularly when the irrigations were scheduled at 0.5 irrigation water to the cumulative pan evaporation ratio up to the pod formation stage.

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