Field-specific nutrient management using Rice Crop Manager decision support tool in Odisha, India.

Autor: Sharma S; International Rice Research Institute, India., Rout KK; Odisha University of Agriculture and Technology (OUAT), Bhubaneswar, India., Khanda CM; Odisha University of Agriculture and Technology (OUAT), Bhubaneswar, India., Tripathi R; National Rice Research Institute (NRRI), Cuttack, Odisha, India., Shahid M; National Rice Research Institute (NRRI), Cuttack, Odisha, India., Nayak A; National Rice Research Institute (NRRI), Cuttack, Odisha, India., Satpathy S; International Rice Research Institute, India., Banik NC; International Rice Research Institute, India., Iftikar W; CIMMYT, India., Parida N; CIMMYT, India., Kumar V; International Rice Research Institute, India., Mishra A; International Rice Research Institute, India., Castillo RL; International Rice Research Institute, PO Box 7777, Metro Manila, Philippines., Velasco T; International Rice Research Institute, PO Box 7777, Metro Manila, Philippines., Buresh RJ; International Rice Research Institute, PO Box 7777, Metro Manila, Philippines.
Jazyk: angličtina
Zdroj: Field crops research [Field Crops Res] 2019 Sep 01; Vol. 241, pp. 107578.
DOI: 10.1016/j.fcr.2019.107578
Abstrakt: The requirement of rice ( Oryza sativa L.) for fertilizer can depend on crop and soil management practices, which can vary among fields within a rice-growing area. A web-based decision support tool named Rice Crop Manager (RCM) was developed previously to calculate field-specific rates of fertilizer N, P, and K for rice in Odisha State in eastern India. We compared field-specific nutrient management calculated by RCM with farmers' fertilizer practice (FFP) and a blanket fertilizer recommendation (BFR), which used a uniform 80 kg N ha -1 , 17 kg P ha -1 , and 33 kg K ha -1 . A total of 209 field trials were conducted in two seasons (kharif and rabi) for two years across ten districts in six agro-climatic zones. Grain yield was consistently higher with fertilization recommended by RCM than with FFP. Higher yield with RCM was attributed to a combination of applying more of the total fertilizer N at the critical growth stage of panicle initiation, applying more fertilizer N in kharif, and applying zinc. The RCM recommendation frequently increased yield compared to BFR as a result of improved N management, which included the adjustment of N rate for a target yield set slightly higher than historical yield reported by a farmer. Fertilization based on RCM rather than BFR reduced the risk of financial loss. The effectiveness of an RCM recommendation relative to BFR and FFP was consistent across rice varieties with different growth duration, irrigated and rainfed rice, and three categories of soil clay content. The RCM recommendation failed to increase yield relative to BFR in one of the six agro-climatic zones, where a higher rate of fertilizer P and/or K was apparently required. The nutrient management calculations used by RCM can be improved as new information and research findings become available. Experiences with RCM in Odisha can help guide the development of comparable nutrient management decision tools in other rice-growing areas.
Databáze: MEDLINE