Evaluation of DSSAT-CANEGRO model for phenology and yield attributes of sugarcane grown in different agroclimatic zones of Punjab, India

Authors

  • JASHANDEEP SINGH Regional Research Station, PAU, Faridkot, Punjab
  • S.K. MISHRA Regional Research Station, PAU, Faridkot, Punjab
  • P.K. KINGRA Dept of Climate Change & Agril. Meteorology, Punjab Agricultural University, Ludhiana, India
  • KULDEEP SINGH Regional Research Station, PAU, Faridkot, Punjab
  • BARUN BISWAS Regional Research Station, PAU, Gurdaspur, Punjab
  • VIKRANT SINGH Regional Research Station, PAU, Faridkot, Punjab

DOI:

https://doi.org/10.54386/jam.v20i4.566

Keywords:

Sugarcane, calibration, validation,, CANEGRO-DSSAT model, Faridkot, Gurdaspur.

Abstract

DSSAT-CANEGRO model was calibrated and validated for four sugarcane cultivars planted at three dates in two agroclimatic zones of Indian Punjab. For calibration two years (2015-16 and 2016-17) data on phenological stages, growth and yield attributes of sugarcane were recorded from the field experiments conducted under All India Coordinated Research Project (AICRP) on sugarcane at Faridkot
whereas, for validation field experiments were conducted during 2017-18 at Regional Research Station (RRS) of Punjab. Faridkot representing western plain zone and Gurdaspur representing undulating plain zone. The genetic coefficients were derived separately for each cultivar. The results revealed that at Faridkot and Gurdaspur, the observed fresh cane yield was 89.8 and 98.6 (t ha-1), whereas simulated was 90.3 and 105.6 t ha-1 respectively. The mean observed days to reach physiological maturity were 297.9±14.2 at Faridkot and 298±16.5 days at Gurdaspur. Whereas, CANEGRO model simulated 305.4±17.1 and 304.3±17.4 days, respectively. The mean percent error for simulation of aerial dry biomass was 7.02 per cent at Faridkot and 11.5 per cent at Gurdaspur. For different phenological stages, growth as well as yield attributes, the maximum RMSE remained below 8.65 which confirmed the strength of the model. Different statistical procedures adopted for validation of the model proved the efficiency of the DSSAT-CANEGRO model for simulation of the crop growth and production with fair degree of accuracy. 

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Published

01-12-2018

How to Cite

JASHANDEEP SINGH, S.K. MISHRA, P.K. KINGRA, KULDEEP SINGH, BARUN BISWAS, & VIKRANT SINGH. (2018). Evaluation of DSSAT-CANEGRO model for phenology and yield attributes of sugarcane grown in different agroclimatic zones of Punjab, India. Journal of Agrometeorology, 20(4), 280–285. https://doi.org/10.54386/jam.v20i4.566

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Section

Research Paper

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