Validation of CERES-Maize model for growth, yield attributes and yield of kharif maize for NEPZ of eastern U. P.

Authors

  • ARVIND KUMAR Department of Agricultural Meteorology N. D. University of Agriculture & Technology, Kumarganj, Faizabad-224 229 (U. P.), India
  • K. K. SINGH India Meteorological Department, New Delhi
  • R. BALASUBRAMANIYAN India Meteorological Department, Pune
  • A. K. BAXLA India Meteorological Department, New Delhi
  • PADMAKAR TRIPATHI Department of Agricultural Meteorology N. D. University of Agriculture & Technology, Kumarganj, Faizabad-224 229 (U. P.), India
  • B. N. MISHRA Department of Agricultural Meteorology N. D. University of Agriculture & Technology, Kumarganj, Faizabad-224 229 (U. P.), India

DOI:

https://doi.org/10.54386/jam.v12i1.1287

Keywords:

CERES-Maize model, growth, NEPZ, validation

Abstract

The present study was conducted by using data from the experiment carried out at Crop Research Station, N. D. University of Agriculture & Technology, Bahraich (U. P.) during kharif 2006 and 2007. The experiment was conducted with three sowing dates in kharif season with one cultivar (HQPM-1). Sowing dates of experimental crop were 25 May, 15 June and 5 July. Genetic coefficients required for the CERES-Maize V 4.0 model for simulation of the growth, yield and yield attributes of maize crop have been derived for maize cultivar HQPM-1 for this agroclimatic zone. Simulated values obtained were validated against observed values of field experiment during kharif 2008. Results revealed that the simulated values of anthesis, physiological maturity, yield and yield attributes (like stalk, number of grains and test weight) were fairly well with measured values within the error percentage of 3.5, 6.5, 2.8, 23.8, 12.3 and 12.4%, respectively.

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Published

01-06-2010

How to Cite

ARVIND KUMAR, K. K. SINGH, R. BALASUBRAMANIYAN, A. K. BAXLA, PADMAKAR TRIPATHI, & B. N. MISHRA. (2010). Validation of CERES-Maize model for growth, yield attributes and yield of kharif maize for NEPZ of eastern U. P. Journal of Agrometeorology, 12(1), 118–120. https://doi.org/10.54386/jam.v12i1.1287

Issue

Vol. 12 No. 1 (2010): June

Section

Research Paper

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