Land Evaluation for Irrigation in Cotton Growing Yavatmal District, Maharashtra

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Year:
2014
Type of Publication:
Article
Keywords:
Land Evaluation, Irrigation, Shrink-Swell Soils, Soil Map, Yavatmal
Authors:
Bhaskar, B. P.; Sarkar, Dipak; Bobade, S. V.; Gaikwad, S. S.; Anantwar, S. G.
Journal:
IJRAS
Volume:
1
Number:
2
Pages:
128-136
Month:
March
ISSN:
2348-–3
Note:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/
Abstract:
The reconnaissance soil survey on a scale of 1:50,000 in debt driven cotton growing Yavatmal district, Maharashtra was carried out to generate soil map with forty eight mapping units as thirty three shrink-swell soil series association on basaltic landforms in northern/ central parts and in sandstone/ limestone cappings in south-eastern parts of wani valley. These soil mapping units were evaluated for irrigation using parametric method and symbol formulae of FAO guidelines for exploring the irrigation potential in drought prone Yavatmal district. The results showed that ten soil mapping units on moderate slopes (5 to 8 per cent) with shrink-swell properties (188832.7 hectares, 13.89 per cent) are evaluated as suitable for surface methods whereas eleven soil mapping units (274744.3 hectares, 20.22 per cent) is slightly suitable for drop irrigation having moderate to slow subsoil permeability, severe stoniness over 5 to 8% slopes and moderate to severe erosion. The main limiting factors for surface and/or sprinkle irrigation methods in this area were soil texture, slope, gravel, surface stone cover whereas calcium carbonate content, alkalinity and subsoil permeability for drop irrigation. The Irrigation intervals based on soil available water holding characteristics and daily consumptive use of water were computed for wheat, cotton and sugar cane. The results showed that the irrigation intervals varied from 8.9 ±1.4 days for wheat, 8.6±1.4 days for cotton and 10±1.6 days for sugar cane. The land resource datasets combined with evaluation methods and GIS tool were helpful in delineating suitable zones for irrigation methods and also to estimate irrigation intervals for major crops grown in the region.
Full text: IJRAS_28_Final.pdf

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