Effective management of water resources is essential for crop diversification and food security. This study proposes an Irrigation-Food-Environment-Chance-constrained Programming (IFEC) model for simultaneously optimizing crop planting area, irrigation water, and residual fertilizer considering inflow uncertainty along with farmer preference crop. Eight irrigation water allocation optimal models were constructed, fixing the preference crop cultivation area, while deviations in downstream release, and vegetable crop area cultivation were executed for sensitivity analysis. Model is then applied in a command area fed by a sub-tributary of Brahmaputra, India. On averaging, plant available N and P for the area were 62.14 kg ha−1 and 1.13 kg ha−1 respectively. With variation in available water, changes would occur in vegetable and cereal crops having higher yield and relatively less crop water requirement as compared to maize. Results showed that complying with preference crop area up to 60% would decrease the profit by 49% as compared to 20% at even 10% risk probability for 70% release. At existing conditions, water would be insufficient at 60% preference crop. Further, R2 value between benefit and water availability for vegetable cultivation varies from 0.99 to 0.78 for all scenarios. The tool featured that, setting specific preference crop areas provides equitable situation rather than mono-cropping. From the study findings, we suggest two salient recommendations: (1) promoting policies with appropriate financial subsidies for vegetable cultivation that focus on intensification with less water-requiring crops and (2) optimization results could be achieved by expanding the water utilization in the present condition while increasing efficiency.
An experiment was conducted during the winter seasons of 1997-98 and 1998-99 under rainfed medium- land situation, to find out the effect of sowing date and tillage practices on soil properties, nutrient uptake and seed yield of linseed (Linum usitatissimum L.) grown in winter rice (Oryza sativa L.)-fallows at Jorhat. The crop sown on 10 November recorded significantly higher seed yield and total N, P and K uptake in both the years. Normal tillage with rice straw mulching resulted in significantly higher uptake of N, P and K and seed yield. This treatment recorded the lowest values for available N, P20, and K20 in soil at crop harvest. Bulk density of 0-15 cm and 15-30 cm soil layers was also minimum and as a result total porosity was maximum under this treatment. Minimum tillage with standing rice straw intact emerged superior to normal tillage without straw mulch and mini- mum tillage without standing straw in respect of seed yield and nutrient uptake.
Enhancing the productivity of crops while reducing the environmental footprint are the major challenges especially for rice farming. Precison farming helps in optimising inputs such as fertilizers and water in tune with crop requirement recognizing the spatial and temporal variabilities within and across field. The precision tools viz. Remote sensing, site specific nutrient management systems, global positioning system (GPS), geographical information system (GIS), variable rate applicator, models and decision support system are used for implementing precision rice farming. The precision nutrient management technology like site specific nutrient management options, using sensors for estimating nutrient content in soil and crop and estimating the spatial variability of nutrients and mapping for variable rate fertiliser application helps in achieving the higher nutrient use efficiency compared to conventional practices. Similarly the precision water management such as sensors for moisture content determination and irrigation scheduling increases the water use efficiency. This paper covers the progress made in PF technologies for nutrient and water management focussing on challenged and opportunities in adoption of these technologies.
An experiment was conducted during the winter seasons of 1997–98 and 1998–99 under rainfed medium-land situation, to find out the effect of sowing date and tillage practices on soil properties, nutrient uptake and seed yield of linseed (Linum usitatissimum L.) grown in winter rice (Oryza sativa L.)-fallows at Jorhat. The crop sown on 10 November recorded significantly higher seed yield and total N, P and K uptake in both the years. Normal tillage with rice straw mulching resulted in significantly higher uptake of N, P and K and seed yield. This treatment recorded the lowest values for available N, P2O5 and K2O in soil at crop harvest. Bulk density of 0–15 cm and 15–30 cm soil layers was also minimum and as a result total porosity was maximum under this treatment. Minimum tillage with standing rice straw intact emerged superior to normal tillage without straw mulch and minimum tillage without standing straw in respect of seed yield and nutrient uptake.