Cargando…

Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China

Determining the best management practices (BMPs) for farmland under different soil textures can provide technical support for improving maize yield, water- and nitrogen-use efficiencies (WUE and NUE), and reducing environmental N losses. In this study, a two-year (2013–2014) maize cultivation experi...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Fanchao, Hu, Kelin, Feng, Puyu, Feng, Guozhong, Gao, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741021/
https://www.ncbi.nlm.nih.gov/pubmed/36501377
http://dx.doi.org/10.3390/plants11233338
_version_ 1784848213407170560
author Meng, Fanchao
Hu, Kelin
Feng, Puyu
Feng, Guozhong
Gao, Qiang
author_facet Meng, Fanchao
Hu, Kelin
Feng, Puyu
Feng, Guozhong
Gao, Qiang
author_sort Meng, Fanchao
collection PubMed
description Determining the best management practices (BMPs) for farmland under different soil textures can provide technical support for improving maize yield, water- and nitrogen-use efficiencies (WUE and NUE), and reducing environmental N losses. In this study, a two-year (2013–2014) maize cultivation experiment was conducted on two pieces of farmland with different textural soils (loamy clay and sandy loam) in the Phaeozems zone of Northeast China. Three N fertilizer treatments were designed for each farmland: N168, N240, and N312, with N rates of 168, 240, and 312 kg ha(−1), respectively. The WHCNS (soil Water Heat Carbon Nitrogen Simulator) model was calibrated and validated using the observed soil water content, soil nitrate concentration, and crop biological indicators. Then, the effects of soil texture combined with different N rates on maize yield, water consumption, and N fates were simulated. The integrated index considering the agronomic, economic, and environmental impacts was used to determine the BMPs for two textural soils. Results indicated that simulated soil water content and nitrate concentration at different soil depths, leaf area index, dry matter, and grain yield all agreed well with the measured values. Both soil texture and N rates significantly affected maize yield, N fates, WUE, and NUE. The annual average grain yield, WUE, and NUE under three N rates in sandy loam soil were 8257 kg ha(−1), 1.9 kg m(−3), and 41.2 kg kg(−1), respectively, which were lower than those of loam clay, 11440 kg ha(−1), 2.7 kg m(−3), and 46.7 kg kg(−1). The order of annual average yield and WUE under two textural soils was N240 > N312 > N168. The average evapotranspiration of sandy loam (447.3 mm) was higher than that of loamy clay (404.9 mm). The annual average N-leaching amount of different N treatments for sandy loam ranged from 5.1 to 13.2 kg ha(−1), which was higher than that of loamy clay soil, with a range of 1.8–5.0 kg ha(−1). The gaseous N loss in sandy loam soil accounted for 14.7% of the fertilizer N application rate, while it was 11.1%in loamy clay soil. The order of the NUEs of two textural soils was: N168 > N240 > N312. The recommended N fertilizer rates for sandy loam and loamy clay soils determined by the integrated index were 180 and 200 kg ha(−1), respectively.
format Online
Article
Text
id pubmed-9741021
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97410212022-12-11 Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China Meng, Fanchao Hu, Kelin Feng, Puyu Feng, Guozhong Gao, Qiang Plants (Basel) Article Determining the best management practices (BMPs) for farmland under different soil textures can provide technical support for improving maize yield, water- and nitrogen-use efficiencies (WUE and NUE), and reducing environmental N losses. In this study, a two-year (2013–2014) maize cultivation experiment was conducted on two pieces of farmland with different textural soils (loamy clay and sandy loam) in the Phaeozems zone of Northeast China. Three N fertilizer treatments were designed for each farmland: N168, N240, and N312, with N rates of 168, 240, and 312 kg ha(−1), respectively. The WHCNS (soil Water Heat Carbon Nitrogen Simulator) model was calibrated and validated using the observed soil water content, soil nitrate concentration, and crop biological indicators. Then, the effects of soil texture combined with different N rates on maize yield, water consumption, and N fates were simulated. The integrated index considering the agronomic, economic, and environmental impacts was used to determine the BMPs for two textural soils. Results indicated that simulated soil water content and nitrate concentration at different soil depths, leaf area index, dry matter, and grain yield all agreed well with the measured values. Both soil texture and N rates significantly affected maize yield, N fates, WUE, and NUE. The annual average grain yield, WUE, and NUE under three N rates in sandy loam soil were 8257 kg ha(−1), 1.9 kg m(−3), and 41.2 kg kg(−1), respectively, which were lower than those of loam clay, 11440 kg ha(−1), 2.7 kg m(−3), and 46.7 kg kg(−1). The order of annual average yield and WUE under two textural soils was N240 > N312 > N168. The average evapotranspiration of sandy loam (447.3 mm) was higher than that of loamy clay (404.9 mm). The annual average N-leaching amount of different N treatments for sandy loam ranged from 5.1 to 13.2 kg ha(−1), which was higher than that of loamy clay soil, with a range of 1.8–5.0 kg ha(−1). The gaseous N loss in sandy loam soil accounted for 14.7% of the fertilizer N application rate, while it was 11.1%in loamy clay soil. The order of the NUEs of two textural soils was: N168 > N240 > N312. The recommended N fertilizer rates for sandy loam and loamy clay soils determined by the integrated index were 180 and 200 kg ha(−1), respectively. MDPI 2022-12-01 /pmc/articles/PMC9741021/ /pubmed/36501377 http://dx.doi.org/10.3390/plants11233338 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meng, Fanchao
Hu, Kelin
Feng, Puyu
Feng, Guozhong
Gao, Qiang
Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title_full Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title_fullStr Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title_full_unstemmed Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title_short Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China
title_sort simulating the effects of different textural soils and n management on maize yield, n fates, and water and n use efficiencies in northeast china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741021/
https://www.ncbi.nlm.nih.gov/pubmed/36501377
http://dx.doi.org/10.3390/plants11233338
work_keys_str_mv AT mengfanchao simulatingtheeffectsofdifferenttexturalsoilsandnmanagementonmaizeyieldnfatesandwaterandnuseefficienciesinnortheastchina
AT hukelin simulatingtheeffectsofdifferenttexturalsoilsandnmanagementonmaizeyieldnfatesandwaterandnuseefficienciesinnortheastchina
AT fengpuyu simulatingtheeffectsofdifferenttexturalsoilsandnmanagementonmaizeyieldnfatesandwaterandnuseefficienciesinnortheastchina
AT fengguozhong simulatingtheeffectsofdifferenttexturalsoilsandnmanagementonmaizeyieldnfatesandwaterandnuseefficienciesinnortheastchina
AT gaoqiang simulatingtheeffectsofdifferenttexturalsoilsandnmanagementonmaizeyieldnfatesandwaterandnuseefficienciesinnortheastchina