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Updated: May 22, 2025

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

Published on: May 10, 2020

Modeling Study on Optimizing Water and Nitrogen Management for Barley in Marginal Soils.

Renaldas Žydelis^1,2, Rafaella Chiarella³, Lutz Weihermüller³

¹Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, 58344 Kėdainiai, Lithuania.

Plants (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

Maximizing barley yield on marginal soils requires balancing water and nitrogen (N) availability. Even with optimal N fertilization, water stress significantly reduces crop output, highlighting the need for integrated management strategies.

Keywords:

barley crop modeling marginal soil nitrogen stress water stress

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Area of Science:

Agricultural Science
Agronomy
Soil Science

Background:

Water and nitrogen are critical inputs limiting crop production, especially on marginal lands.
Marginal soils present unique challenges for achieving optimal crop yields due to resource limitations.

Purpose of the Study:

To evaluate the impact of water and nitrogen stress on spring barley yield in marginal soils.
To utilize the AgroC model for simulating barley growth and identifying yield gaps.

Main Methods:

Field trials were conducted from 2020-2022 in Lithuania with spring barley (cv. KWS Fantex).
The AgroC model was parameterized using experimental data to simulate crop growth under varying water and nitrogen conditions.
Yield potential and losses due to abiotic stresses were assessed through simulation.

Main Results:

Potential yields ranged from 4.8 to 6.02 t DW ha⁻¹ under optimal conditions.
Yield losses reached up to 54.4% from nitrogen stress and 59.2% from water stress, even with 100 kg N ha⁻¹ yr⁻¹.
Optimal nitrogen fertilization rates (100-120 kg N ha⁻¹ yr⁻¹) varied with climatic conditions, introducing uncertainty.

Conclusions:

Sustainable agricultural practices and advanced modeling are crucial for enhancing yield potential and resilience in marginal soils.
Integrating remote sensing data can improve simulation accuracy and inform fertilization strategies.
Optimizing water and nitrogen management is essential for improving barley production on marginal lands.