Növénytermelés / Volume 69 / Issue 1 (March 2020) / pp. 33-52

NYÉKI ANIKÓ – GOMBOS BÉLA – NAGY JÁNOS

Evaluating the efficiency of nitrogen fertilisation using the Ceres-Maize model and the long-term experiment results of Debrecen–Látókép

The aim of our study is to evaluate the results of the Debrecen-Látókép long-term experiment with the Ceres-Maize decision support model of the DSSAT (Decision Support System for Agrotechnology Transfer) software. The analysis primarily involved adaptation of the long-term experiment databases and calibration of the model. The data required for validation from the experimental site is derived from a site-specific, long-term experiment that meets the conditions for precision crop production.

In this study, we used the results of a 2016 and 2017 long-term experiment to perform a correlation analysis of the fertiliser treatments of a FAO 340 maize hybrid.

Plots of different nutrient treatments (nitrogen content – 0, 30, 60, 90, 120, 150 kg per hectare) were applied for the yield prediction of the Ceres-Maize model. The long-term experiment established in Látókép in 1983 provided a reliable databased with N fertiliser applications.

Plant simulation models take into account soil-plant-atmosphere elements and can thus contribute to optimising the efficiency of water, nutrients and trace elements. Their research increases the efficiency of crop production (optimum yield) and water use.

Keywords: long-term experiment, maize, yield prediction, N-fertiliser reaction, Ceres-Maize model

For authors

Download (PDF, 94 KB)

Publication Ethics

Publication Ethics and Malpractice Statement of Növénytermelés: The journal follows the CODE OF CONDUCT AND BEST PRACTICE GUIDELINES FOR JOURNAL EDITORS announced by the Committee on Publication Ethics.

About

Editor-in Chief:

János Nagy

Address

Debreceni Egyetem
Mezőgazdaság-, Élelmiszertudományi és Környezetgazdálkodási Kar
4032 Debrecen, Böszörményi út 138.
4015 Debrecen, Pf. 36.

Phone

(06 52) 508-310

More