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Nale, V.N.
- Soil Moisture Adequacy Index (SMAI) of Jamner and Padalsare stations of Jalgaon district
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture (MPKV), Muktainagar, Jalgaon (M.S.), IN
2 Department of Agricultural Engineering, College of Agriculture (MPKV), Muktainagar, Dhule (M.S.), IN
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture (MPKV), Muktainagar, Jalgaon (M.S.), IN
2 Department of Agricultural Engineering, College of Agriculture (MPKV), Muktainagar, Dhule (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 13, No 1 (2020), Pagination: 90-95Abstract
Water is limiting factor for crop production and development. The success of dry land farming mainly depends on the evenly distributed rainfall during crop growing period when the rainfall before insufficient to meet the potential needs of transpiration, the ischolar_main zone of soil moisture is utilized for transpiration. This causes soil moisture storage and a situation, which may be designed as group drought occurs. Water deficit study is one of the important aspects in rainfed farming as well as in water resource planning management and allocation of irrigation water studies on water deficit pattern during different year would provide basic information for evaluating climate potential of an area for agriculture planning and development. Soil moisture plays an important role in crop productivity besides weather parameters in rainfed in general and drought prone areas of Jalgaon district in particular, plants survive on available water of the soil. Soil Moisture Adequacy Index above 25% is found from 23rd MW, it is 100% in 22nd MW at Jamner station. The average weekly rainfall is available predominantly from 23rd MW at Jamner station in Kharif and 41st MW at Rabi season. Soil Moisture Adequacy Index above 25% from 23rd MW and found to be 100% in 51stMW at Padalsare station. The average weekly rainfall is available predominantly from 25thMW at Padalsare station in Kharif and 41st MW at Rabi season.Keywords
Soil Moisture Adequacy Index
References
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- Patil, P.P. and Patil, M.M. (1997). Relationship between the extreme events and statistical parameters of Rainfall at Dhule, M.S. Indian J. Soil Conservation, 19 (1 and 2):75-82.
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- Assessment of Different Infiltration Equations for Cultivated and Pasture Land
Abstract Views :427 |
PDF Views:0
Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture (MPKV), Muktainagar, Jalgaon (M.S.), IN
2 Department of Agricultural Engineering, College of Agriculture (MPKV), Dhule (M.S.), IN
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture (MPKV), Muktainagar, Jalgaon (M.S.), IN
2 Department of Agricultural Engineering, College of Agriculture (MPKV), Dhule (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 13, No 1 (2020), Pagination: 107-112Abstract
The measure of infiltration of water into the soil is an important indication concerning: the efficiency of irrigation and drainage optimizing the availability of the water for plant improving the yield of the crop and minimizing the erosion. By knowing proper infiltration characteristics and intake capacity of soil, deep percolation losses can be prevented and proper utilization of water may take place. Keeping the importance of infiltration characteristics in mind the study of infiltration was taken. In this study most appropriate methods for determination of infiltration under different land uses were selected among most popular methods. Some of the wellknown equations are Kostiakov equation, Modified Kostiakov equation and Horton equation. These three equations were studied for the assessment infiltration equation. Assessment of these equations was done under different lands covers such as Cultivated land cover, Pasture land cover. From the analysis of the data, it is concluded that for cultivated land cover correlation coefficients for cumulative infiltration were found to be 0.9569, 0.9687 and 0.9724 for Kostiakov, Modified Kostiakov and Horton equation, respectively. As correlation co-efficient for Horton equation is higher, this equation was found best fit for cultivated land cover. Similarly, for pasture land cover the correlation co-efficients for cumulative infiltration were found to be 0.9876, 0.9706 and 0.9891 for Kostiakov, Modified Kostiakov and Horton equation, respectively. As correlation co-efficient for Horton equation is higher, this equation was found best fit for pasture land cover.Keywords
Infiltration, Infiltration Rate, Infiltration Equation, Land UseReferences
- Baxla, A.K., Kumar, R. and Wodood, A. (2001). Infiltration characteristic of soil under different soil series of Jumar Nala Sub watershed. Anna. Arid Zone, 40(1): 29-23.
- Davis, D.S. (1943). Empirical equations and monographs. Proceedings Soil Sci. Society, 108 : 137- 142.
- Michael, A.M. (1978). Movement of water into Soils. Irrigation Theory and Practice: 464-472.
- Nagar, M.P. and Saini (2003). Comparison of different infiltration equations on different land covers.” B.E. Thesis, MPUA, Udaipur, 81.
- Parlange, J. Y., I. Lisle, R.D. Braddock and R.E. Smith (1982). The three parameter infiltration equation. J. Soil Sci., 133 (6): 337-341.
- Punmia, B.C., (2004) Soil mechanics and Foundation, Laxmi publication, New Delhi: 88-94.
- Roy, G.B. and Ghosh, R.K. (1982). Infiltration rate at long times. Soil Science, 134: 345-347.
- Swartzendruber, D. and Clague, F.R. (1989). An inclusive infiltration equation for downward entry into soil. J. Water Resources Res., 25 (4): 619-626.