Journal of the Indian Society of Soil Science
SCOPUS
  • Year: 2014
  • Volume: 62
  • Issue: 2

Radiation Utilization Efficiency, Nitrogen Uptake and Modeling Crop Growth and Yield of Rainfed Rice under Different Nitrogen Rates

  • Author:
  • Gouranga Kar, Ashwani Kumar, Sucharita Mohapatra
  • Total Page Count: 10
  • Page Number: 108 to 117

Directorate of Water Management, Bhubaneswar, 751 023, Orissa

*Corresponding author Email: kar_wtcer@yahoo.com

Online published on 26 December, 2014.

Abstract

Optimum utilization of photosynthetically active radiation (PAR) along with proper nitrogen (N) management for sustainable rice production is still a promising management recommendation for sustainable rainfed rice cultivation in eastern India. The objective of this investigation was to study radiation utilization efficiency (RUE), N uptake and modeling growth and productivity of wet/rainy season rice (cv. Lalat and Gayatri) under 0, 50, 90, 120 and 150 kg ha−1 N application. Results showed that N rates significantly affected plant biomass, leaf area index (LAI), biological yield (straw and grain yield) and N uptake for both the varieties. The intercepted photosynthetically active radiation (IPAR) and spectral reflectance based vegetation indices (IR/R, NDVI) were also different between two varieties and among N rates. Higher rate of N increased the RUE significantly; averaged over years and varieties, mean values of RUE were 1.35, 1.70, 2.01, 2.15 and 2.17 g MJ−1 under 0, 50, 90, 120 and 150 kg N ha−1, respectively. Though crop growth, yield, N uptake and RUE were higher at 150 kg N ha−1 but the results were at par with 120 kg N ha−1. Agronomic N use efficiency (ANUE) was also low at 150 kg N ha−1. The DSSAT v 4.5 model was applied to simulate crop growth, yield and phenology of the crop under different N rates. Model performance was found to be poor at low N rates (0, 50 kg N ha−1), but the model performed fairly well at higher N rates (90 kg ha−1 and above).

Keywords

Simulation model, rice, nitrogen, radiation utilization efficiency