Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain
Conventional farming practices not only constrained food security due to low yield but also threatened the ecosystem by causing groundwater decline and groundwater nitrate contamination. A twoear field experiment was conducted at the research station of North China University of Water Resources and...
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oai:doaj.org-article:14f883963e3c4172a6e1007e2a789dee2021-11-29T06:30:37ZModelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain10.3934/mbe.20214721551-0018https://doaj.org/article/14f883963e3c4172a6e1007e2a789dee2021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021472?viewType=HTMLhttps://doaj.org/toc/1551-0018Conventional farming practices not only constrained food security due to low yield but also threatened the ecosystem by causing groundwater decline and groundwater nitrate contamination. A twoear field experiment was conducted at the research station of North China University of Water Resources and Electric Power, Zhengzhou. The WHCNS model was used to simulate grain yield, water and nitrogen fertilizer use efficiencies (WUE and FNUEs) of spring maize under border irrigation method, drip irrigation, and rainfed conditions. In addition, a scenario analysis was also performed on different dry and rainy seasons to assess the long-term impact of rainfall variability on spring maize from 2000–2017. The result showed that the model precisely simulated soil water content, N concentration, crop biomass accumulation, and grain yield. The maximum and minimum range of relative root mean squire error (RRMSE) values were 0.5–36.0% for soil water content, 14.0–38.0% for soil nitrate concentrations, 19.0–24.0% for crop biomass and 1.0–2.0% for grain yield, respectively under three irrigation methods. Both the index of agreement (IA) and Pearson correlation coefficient (r) values were close 1. We found the lowest grain yield from the rainfed maize, whereas the drip irrigation method increased grain yield by 14% at 40% water saving than border irrigation method for the two years with the 11% lower evaporation and maintained transpiration rate. Moreover, the drip irrigated maize had a negligible amount of drainage and runoff, which subsequently improved WUE by 27% in the first growing season and 16% in the second rotation than border irrigation. The drip irrigated maize also showed 24% higher FNUE. The reason of lower WUE and FNUEs under the border irrigation method was increased drainage amounts and N leaching rates. Furthermore, scenario analysis indicated that the dry season could result in a 30.8% yield decline as compared to rainy season.Shu XuYichang Wei Abdul Hafeez LaghariXianming Yang Tongchao WangAIMS Pressarticlespring maizeborder irrigationdrip irrigationrainfedgrain yieldwuefnueBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9651-9668 (2021) |
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spring maize border irrigation drip irrigation rainfed grain yield wue fnue Biotechnology TP248.13-248.65 Mathematics QA1-939 |
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spring maize border irrigation drip irrigation rainfed grain yield wue fnue Biotechnology TP248.13-248.65 Mathematics QA1-939 Shu Xu Yichang Wei Abdul Hafeez Laghari Xianming Yang Tongchao Wang Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
description |
Conventional farming practices not only constrained food security due to low yield but also threatened the ecosystem by causing groundwater decline and groundwater nitrate contamination. A twoear field experiment was conducted at the research station of North China University of Water Resources and Electric Power, Zhengzhou. The WHCNS model was used to simulate grain yield, water and nitrogen fertilizer use efficiencies (WUE and FNUEs) of spring maize under border irrigation method, drip irrigation, and rainfed conditions. In addition, a scenario analysis was also performed on different dry and rainy seasons to assess the long-term impact of rainfall variability on spring maize from 2000–2017. The result showed that the model precisely simulated soil water content, N concentration, crop biomass accumulation, and grain yield. The maximum and minimum range of relative root mean squire error (RRMSE) values were 0.5–36.0% for soil water content, 14.0–38.0% for soil nitrate concentrations, 19.0–24.0% for crop biomass and 1.0–2.0% for grain yield, respectively under three irrigation methods. Both the index of agreement (IA) and Pearson correlation coefficient (r) values were close 1. We found the lowest grain yield from the rainfed maize, whereas the drip irrigation method increased grain yield by 14% at 40% water saving than border irrigation method for the two years with the 11% lower evaporation and maintained transpiration rate. Moreover, the drip irrigated maize had a negligible amount of drainage and runoff, which subsequently improved WUE by 27% in the first growing season and 16% in the second rotation than border irrigation. The drip irrigated maize also showed 24% higher FNUE. The reason of lower WUE and FNUEs under the border irrigation method was increased drainage amounts and N leaching rates. Furthermore, scenario analysis indicated that the dry season could result in a 30.8% yield decline as compared to rainy season. |
format |
article |
author |
Shu Xu Yichang Wei Abdul Hafeez Laghari Xianming Yang Tongchao Wang |
author_facet |
Shu Xu Yichang Wei Abdul Hafeez Laghari Xianming Yang Tongchao Wang |
author_sort |
Shu Xu |
title |
Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
title_short |
Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
title_full |
Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
title_fullStr |
Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
title_full_unstemmed |
Modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the North China Plain |
title_sort |
modelling effect of different irrigation methods on spring maize yield, water and nitrogen use efficiencies in the north china plain |
publisher |
AIMS Press |
publishDate |
2021 |
url |
https://doaj.org/article/14f883963e3c4172a6e1007e2a789dee |
work_keys_str_mv |
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