HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production

Nitrogen loss from agricultural fields results in contamination of ground and surface water resources due to leaching and runoff, respectively. Nitrogen transport dynamics vary significantly among agricultural fields of different climates, especially in the tropical climate. This study intended to e...

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Main Authors: Iqbal, Mazhar, Kamal, Md. Rowshon, Mohd Soom, Mohd Amin, Yamin, Muhammad, M., Mohd Fazly, Che Man, Hasfalina, Muhammed, Hadi Hamaaziz
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89232/1/RAIN.pdf
http://psasir.upm.edu.my/id/eprint/89232/
https://www.mdpi.com/2076-3417/10/11/3925
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spelling my.upm.eprints.892322021-09-03T10:18:49Z http://psasir.upm.edu.my/id/eprint/89232/ HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production Iqbal, Mazhar Kamal, Md. Rowshon Mohd Soom, Mohd Amin Yamin, Muhammad M., Mohd Fazly Che Man, Hasfalina Muhammed, Hadi Hamaaziz Nitrogen loss from agricultural fields results in contamination of ground and surface water resources due to leaching and runoff, respectively. Nitrogen transport dynamics vary significantly among agricultural fields of different climates, especially in the tropical climate. This study intended to evaluate the rainfall impact on nitrogen distribution and losses under tropical rain-fed conditions. The study was carried out in a sweet corn field for two growing seasons at the Malaysian Agricultural Research and Development Institute (MARDI) research field. The HYDRUS-1D numerical model was used to simulate nitrogen transport dynamics in this study. The observed nitrogen concentrations were used for calibration and validation of the model. Total nitrogen input to sweet corn was 120 kg/ha for both seasons. Nitrogen losses through surface runoff and leaching were dominating pathways. Surface runoff accounted for 35.3% and 22.2% of total nitrogen input during the first and second seasons, respectively. The leaching loss at 60 cm depth accounted for 4.0% (first season) and 18.5% (second season). The crop N uptake was 37.5% and 24.9% during the first and second seasons, respectively. Nitrate was the dominant form of N uptake by the crop that accounted for 83.6% (first season) and 78.5% (second season). The HYDRUS-1D simulation results of nitrogen concentrations and fluxes were found in good agreement with observed data. The overall results of simulation justified the HYDRUS-1D for improved fertilizer use in the tropical climate. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89232/1/RAIN.pdf Iqbal, Mazhar and Kamal, Md. Rowshon and Mohd Soom, Mohd Amin and Yamin, Muhammad and M., Mohd Fazly and Che Man, Hasfalina and Muhammed, Hadi Hamaaziz (2020) HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production. Applied Sciences, 10 (11). pp. 1-15. ISSN 2076-3417 https://www.mdpi.com/2076-3417/10/11/3925 10.3390/app10113925
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Nitrogen loss from agricultural fields results in contamination of ground and surface water resources due to leaching and runoff, respectively. Nitrogen transport dynamics vary significantly among agricultural fields of different climates, especially in the tropical climate. This study intended to evaluate the rainfall impact on nitrogen distribution and losses under tropical rain-fed conditions. The study was carried out in a sweet corn field for two growing seasons at the Malaysian Agricultural Research and Development Institute (MARDI) research field. The HYDRUS-1D numerical model was used to simulate nitrogen transport dynamics in this study. The observed nitrogen concentrations were used for calibration and validation of the model. Total nitrogen input to sweet corn was 120 kg/ha for both seasons. Nitrogen losses through surface runoff and leaching were dominating pathways. Surface runoff accounted for 35.3% and 22.2% of total nitrogen input during the first and second seasons, respectively. The leaching loss at 60 cm depth accounted for 4.0% (first season) and 18.5% (second season). The crop N uptake was 37.5% and 24.9% during the first and second seasons, respectively. Nitrate was the dominant form of N uptake by the crop that accounted for 83.6% (first season) and 78.5% (second season). The HYDRUS-1D simulation results of nitrogen concentrations and fluxes were found in good agreement with observed data. The overall results of simulation justified the HYDRUS-1D for improved fertilizer use in the tropical climate.
format Article
author Iqbal, Mazhar
Kamal, Md. Rowshon
Mohd Soom, Mohd Amin
Yamin, Muhammad
M., Mohd Fazly
Che Man, Hasfalina
Muhammed, Hadi Hamaaziz
spellingShingle Iqbal, Mazhar
Kamal, Md. Rowshon
Mohd Soom, Mohd Amin
Yamin, Muhammad
M., Mohd Fazly
Che Man, Hasfalina
Muhammed, Hadi Hamaaziz
HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
author_facet Iqbal, Mazhar
Kamal, Md. Rowshon
Mohd Soom, Mohd Amin
Yamin, Muhammad
M., Mohd Fazly
Che Man, Hasfalina
Muhammed, Hadi Hamaaziz
author_sort Iqbal, Mazhar
title HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
title_short HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
title_full HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
title_fullStr HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
title_full_unstemmed HYDRUS-1D simulation of nitrogen dynamics in rainfed sweet corn production
title_sort hydrus-1d simulation of nitrogen dynamics in rainfed sweet corn production
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/89232/1/RAIN.pdf
http://psasir.upm.edu.my/id/eprint/89232/
https://www.mdpi.com/2076-3417/10/11/3925
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score 13.188404