1Department of Irrigation and Drainage Engineering, CAET, VNMKV, Parbhani, Maharashtra, India
2College of Agricultural Engineering & Technology, VNMKV, Parbhani, Maharashtra, India
*Corresponding Author’s E-mail Address: vkingle@vnmkv.ac.in
Online Published on 21 September, 2024.
Despite the crucial role of water in agricultural production, exact estimates of water requirements of field crops are often lacking in many regions of India. This study focuses on estimating crop water needs accurately and exploring spatio-temporal variability of crop evapotranspiration (ETc) for green gram crop in Marathwada region of Maharashtra, India. The reference evapotranspiration (ETo) estimated using FAO-56 Penman-Monteith method was used for estimating ETc for 32-year (1990-2021) across eight districts of Marathwada. Results revealed that the ET c of green gram in the region increased slightly from 29th meteorological week (2.3 mm d-1) to 31st meteorological week (2.4 mm d-1). Thereafter, the ETc increased in 35th meteorological week to 4.3 mm d-1 and remained constant during mid-season stage, and later on, it gradually decreased to 2.2 mm d-1 at the end season (39th meteorological week). The average daily ETc of green gram was 3.8 mm d-1over the entire growing season. Among the eight districts, seasonal ETc ranged from 280 mm (Dharashiv district) to 240 mm (Hingoli district). Geographical variations exhibited the higher ETc in southwest and some area of southeast portion of the region, while the northwest portion displayed the lower ETc values. Mann-Kendall test indicated significantly decreasing trends in weekly ETc of green gram mainly during two meteorological weeks, i.e., MW-37 and MW-38, across most of the districts, which was further confirmed by the results of Sen’s slope estimator. Farmers in the study area can schedule the application of irrigation for green gram at right time and in appropriate amounts depending upon the specific ETc values. Thus, findings of this study are useful to farmers and agriculture department by enabling optimized irrigation water management.
Crop coefficient, Crop water requirement, Irrigation water management, Mann-Kendall test, Sen’s slope estimator