Agricultural Research Journal
Open Access
SCOPUS
  • Year: 2024
  • Volume: 61
  • Issue: 5

Optimization of plant density and nitrogen levels in Bt and non-bt cotton using the cropgro-cotton model on alfisols of the southern Telangana zone

  • Author:
  • T Nagender1, D Raji Reddy2, G Sreenivas3, P Leela Rani4, C H Pallavi5,*
  • Total Page Count: 9
  • Page Number: 762 to 770

1Department of Agronomy, College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad-500 030, India

2Ex-Director of Extension, Administrative Building, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad-500 030, India

3Regional Agricultural Research Station, Jagtial-505 327, India

4Agro Climate Research Centre, Agricultural Research Institute, Rajendranagar, Hyderabad-500 030, India

5The District Agricultural Advisory and Transfer of Technology Centre, Agricultural Research Station, Tornala-502 114, India

*Corresponding author: pallavireddy8990@gmail.com

Online published on 19 February, 2025.

Abstract

A field experiment was conducted at the Agricultural Research Institute, Rajendranagar, during the kharif seasons of 2015 and 2016 to calibrate and validate the CROPGRO-Cotton model. The study evaluated two cotton cultivars (MRC 7201 BG II and WGCV-48), three plant densities (18,518, 55,555, and 1,48,148 plants ha-1), and three nitrogen levels (120, 150, and 180 kg ha-1). After calibration and validation, the model was used to determine optimal plant densities and nitrogen levels for cotton production under semi-arid conditions using DSSAT v4.6’s seasonal analysis tool. The model simulated seed cotton yield across nine plant densities (18,518 to 1,48,148 plants ha-1) and eight nitrogen levels (110 to 180 kg N ha-1) based on 30 years of historical weather data (1986-2015). Results indicated that the optimal plant density for MRC 7201 in Telangana’s semi-arid conditions was 55,555 plants ha-1, with a nitrogen application rate of 120 kg N ha-1, resulting in the best economic performance. Further validation with long-term datasets is suggested to improve the model’s accuracy and applicability.

Keywords

CROPGRO-Cotton model, Plant density, Nitrogen, Telangana