Your search found 4 records
1 Tuong, T. P.; Castillo, E. G.; Cabangon, R. C.; Boling, A.; Singh, U.. 2002. The drought response of lowland rice to crop establishment practices and N-fertilizer sources. Field Crops Research, 74:243-257.
Rice ; Rain-fed farming ; Drought ; Soil properties ; Water stress ; Fertilizers ; Nitrogen ; Soil moisture ; Crop yield / Philippines
(Location: IWMI-HQ Call no: P 6032 Record No: H030164)
2 Malik, R. S.; Kumar, R.; Dabas, D. S.; Dhindwal, A. S.; Singh, S.; Singh, U.; Singh, D.; Mal, J.; Khatri, A. S.; Bassembinder, J. J. E. 2003. Measurement program and description data base. In van Dam, J. C.; Malik, R. S. (Eds.), Water productivity of irrigated crops in Sirsa district, India: Integration of remote sensing, crop and soil models and geographical information systems. Haryana, India: Haryana Agricultural University; Colombo, Sri Lanka: International Water Management Institute (IWMI); Wageningen, Netherlands: Wageningen University; Wageningen, Netherlands: WaterWatch. pp.29-39.
Wheat ; Cotton ; Rice ; Soil water ; Water measurement ; Irrigation water ; Crop production ; Canal irrigation / India / Sirsa
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 VAN Record No: H033892)
(3.65MB)
3 Islam, S. M. M.; Gaihre, Y. K.; Islam, Md. R.; Ahmed, Md. N.; Akter, M.; Singh, U.; Sander, B. O. 2022. Mitigating greenhouse gas emissions from irrigated rice cultivation through improved fertilizer and water management. Journal of Environmental Management, 307:114520. (Online first) [doi: https://doi.org/10.1016/j.jenvman.2022.114520]
Irrigated rice ; Greenhouse gas emissions ; Emission reduction ; Irrigated farming ; Water management ; Global warming ; Fertilizers ; Nitrous oxide ; Methane emission ; Urea ; Use efficiency ; Crop management ; Integrated plant nutrient management / Bangladesh / Gazipur
(Location: IWMI HQ Call no: e-copy only Record No: H050888)
https://www.sciencedirect.com/science/article/pii/S0301479722000937/pdfft?md5=0eaa9b512d6b0a05efd7497c1b19b265&pid=1-s2.0-S0301479722000937-main.pdf
https://vlibrary.iwmi.org/pdf/H050888.pdf
https://vlibrary.iwmi.org/pdf/H050888.pdf
(0.91 MB) (928 KB)
Greenhouse gas (GHG) emissions from agriculture sector play an important role for global warming and climate change. Thus, it is necessary to find out GHG emissions mitigation strategies from rice cultivation. The efficient management of nitrogen fertilizer using urea deep placement (UDP) and the use of the water-saving alternate wetting and drying (AWD) irrigation could mitigate greenhouse gas (GHG) emissions and reduce environmental pollution. However, there is a dearth of studies on the impacts of UDP and the integrated plant nutrient system (IPNS) which combines poultry manure and prilled urea (PU) with different irrigation regimes on GHG emissions, nitrogen use efficiency (NUE) and rice yields. We conducted field experiments during the dry seasons of 2018, 2019, and 2020 to compare the effects of four fertilizer treatments including control (no N), PU, UDP, and IPNS in combination with two irrigation systems— (AWD and continuous flooding, CF) on GHG emissions, NUE and rice yield. Fertilizer treatments had significant (p < 0.05) interaction effects with irrigation regimes on methane (CH4) and nitrous oxide (N2O) emissions. PU reduced CH4 and N2O emissions by 6% and 20% compared to IPNS treatment, respectively under AWD irrigation, but produced similar emissions under CF irrigation. Similarly, UDP reduced cumulative CH4 emissions by 9% and 15% under AWD irrigation, and 9% and 11% under CF condition compared to PU and IPNS treatments, respectively. Across the year and fertilizer treatments, AWD irrigation significantly (p < 0.05) reduced cumulative CH4 emissions and GHG intensity by 28%, and 26%, respectively without significant yield loss compared to CF condition. Although AWD irrigation increased cumulative N2O emissions by 73%, it reduced the total global warming potential by 27% compared to CF irrigation. The CH4 emission factor for AWD was lower (1.67 kg ha-1 day-1) compared to CF (2.33 kg ha-1 day-1). Across the irrigation regimes, UDP increased rice yield by 21% and N recovery efficiency by 58% compared to PU. These results suggest that both UDP and AWD irrigation might be considered as a carbon-friendly technology.
4 Kumar, K.; Parihar, C. M.; Nayak, H. S.; Sena, Dipaka R.; Godara, S.; Dhakar, R.; Patra, K.; Sarkar, A.; Bharadwaj, S.; ChandGhasal, P.; Meena, A. L.; Reddy, K. S.; Das, T. K.; Jat, S. L.; Sharma, D. K.; Saharawat, Y. S.; Singh, U.; Jat, M. L.; Gathala, M. K. 2024. Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system. Scientific Reports, 14:11743. [doi: https://doi.org/10.1038/s41598-024-61976-6]
Maize ; Plant growth ; Nitrogen ; Modelling ; Conservation agriculture ; Wheat ; Zero tillage ; Ammonia ; Volatilization / India
(Location: IWMI HQ Call no: e-copy only Record No: PendingH052860)
(2.40 MB)
Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The objective of this study was to calibrate and the Crop Environment Resource Synthesis CERES-Maize (DSSAT v 4.8) model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based maize system. The model was also used to investigate the relationship between, temperature, nitrate and ammoniacal concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on maize yields. Using field data from 2019 and 2020, the DSSAT-CERES-Maize model was calibrated for plant growth stages, leaf area index-LAI, biomass, and yield. Data from 2021 were used to evaluate the model's performance. The treatments consisted of four nitrogen management options, viz., N0 (without nitrogen), N150 (150 kg N/ha through urea), GS (Green seeker-based urea application) and USG (urea super granules @150kg N/ha) in two contrasting tillage systems, i.e., CA-based zero tillage-ZT and conventional tillage-CT. The model accurately simulated maize cultivar’s anthesis and physiological maturity, with observed value falling within 5% of the model’s predictions range. LAI predictions by the model aligned well with measured values (RMSE 0.57 and nRMSE 10.33%), with a 14.6% prediction error at 60 days. The simulated grain yields generally matched with measured values (with prediction error ranging from 0 to 3%), except for plots without nitrogen application, where the model overestimated yields by 9–16%. The study also demonstrated the model's ability to accurately capture soil nitrate–N levels (RMSE 12.63 kg/ha and nRMSE 12.84%). The study concludes that the DSSAT-CERES-Maize model accurately assessed the impacts of tillage and nitrogen management practices on maize crop’s growth, yield, and soil nitrogen dynamics. By providing reliable simulations during the growing season, this modelling approach can facilitate better planning and more efficient resource management. Future research should focus on expanding the model's capabilities and improving its predictions further.
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