Optimization of irrigation

A comprehensive field investigation was conducted to enhance the productivity, profitability, and water use efficiency (WUE) of summer okra through the optimization of irrigation and nitrogen fertilizer application. The study involved 3 irrigation levels - 0.75 [E.sub.pan] (pan evaporation) as [I.sub.1], 1.00 [E.sub.pan] as [I.sub.2], and 1.25 [E.sub.pan] as [I.sub.3]--as the main plot factors, and 4 nitrogen concentrations - 75% recommended nitrogen dose (RDN) as [N.sub.1], 100% RDN as [N.sub.2], 125% RDN as [N.sub.3], and 150% RDN as [N.sub.4] - as the subplot variables. The results of the study revealed a significant influence of irrigation and nitrogen levels on various key parameters. Above-ground dry matter, yield, plant height, WUE, net returns, and benefit-to-cost ratio (B:C) exhibited an incremental trend with increasing irrigation and nitrogen levels, up to a certain threshold. Beyond this threshold, further increments in irrigation and nitrogen led to diminishing returns. The models developed for estimating crop yield, above-ground dry matter, plant height, WUE, net returns, and B:C demonstrated impressive accuracy, with high coefficients of determination ([R.sub.2]) and satisfactory precision. The optimized irrigation level (crop evapotranspiration, E[T.sub.c]) ranged from 418.39-441.23 mm. At the same time, the ideal nitrogen application rate was found to be in the range of 167.04-176.13 kg N/ha. These optimal conditions resulted in peak crop yield of 28 295 kg/ha, above-ground dry matter of 6 709.1 kg/ha, plant height of 66.3 cm, WUE of 5.26 kg/[m.sup.3], B:C of 4.54, and net returns amounting to 441 133 INR/ha. In conclusion, the application of response surface methodology facilitated the identification of the impact of each factor on individual responses, as well as the determination of optimal conditions that simultaneously maximize multiple desirable outcomes. These findings hold significant promise for improving the cultivation of summer okra while optimizing resource use and economic returns. KEYWORDS optimization response surface methodology drip irrigation nitrogen levels productivity