Evaluating InfoCrop model for growth, development and yield of spring wheat at farmers' field in semi-arid environment

Authors

  • RAJKUMAR DHAKAR Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi - 110012, India
  • VINAY KUMAR SEHGAL Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi - 110012, India
  • DEBASISH CHAKRABORTY Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi - 110012, India
  • JOYDEEP MUKHERJEE Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi - 110012, India
  • S. NARESH KUMAR Centre for Environment and Climate Resilient Agriculture, Indian Agricultural Research Institute, New Delhi-110012

DOI:

https://doi.org/10.54386/jam.v21i3.247

Keywords:

LAI,, dynamic model, total dry matter, D-index

Abstract

Evaluation of crop simulation model for growth and development of crops at farmers' eld is uncommon, as large variability exists in management practices at farmers' elds. Present study was attempted to evaluate the suitability of InfoCrop v2.1 model for prediction of growth, development and yield of wheat crop at farmers' elds using two years data i.e. 2015-16 & 2016-17. A total of 42 farmers'
elds were selected in Pataudi block of Haryana state. The large variability in wheat sowing date (1-Nov to 25-Dec), seed rate (87 to 150 kgha-1), N application rate (70 to 195 kgha-1) and number of irrigations (5-8) were observed in farmers' eld. InfoCrop model could able to predict well days to anthesis and physiological maturity within an acceptable error of 5% (RMSE~3 days). Measured leaf area index (LAI) matched well with simulated LAI (RMSE ~ 0.5). The agreement between observed and model simulated wheat grain yield was found to be satisfactory (nRMSE ~ 6-8%). We conclude that InfoCrop-wheat model satisfactorily simulate the growth, development and yield of wheat crop under varied management practices at farmers' elds, and hence can be applied for agricultural applications for farmers 

Published

01-09-2019

How to Cite

RAJKUMAR DHAKAR, VINAY KUMAR SEHGAL, DEBASISH CHAKRABORTY, JOYDEEP MUKHERJEE, & S. NARESH KUMAR. (2019). Evaluating InfoCrop model for growth, development and yield of spring wheat at farmers’ field in semi-arid environment. Journal of Agrometeorology, 21(3), 254–261. https://doi.org/10.54386/jam.v21i3.247

Issue

Vol. 21 No. 3 (2019): September

Section

Research Paper

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