首页|Combining field data and modeling to better understand maize growth response to phosphorus(P)fertilizer application and soil P dynamics in calcareous soils
Combining field data and modeling to better understand maize growth response to phosphorus(P)fertilizer application and soil P dynamics in calcareous soils
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国家科技期刊平台
NETL
NSTL
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We used field experimental data to evaluate the ability of the agricultural production system model(APSIM)to simulate soil P availability,maize biomass and grain yield in response to P fertilizer applications on a fluvo-aquic soil in the North China Plain.Crop and soil data from a 2-year experiment with three P fertilizer application rates(0,75 and 300 kg P2O5 ha-1)were used to calibrate the model.Sensitivity analysis was carried out to investigate the influence of APSIM SoilP parameters on the simulated P availability in soil and maize growth.Crop and soil P parameters were then derived by matching or relating the simulation results to observed crop biomass,yield,P uptake and Olsen-P in soil.The re-parameterized model was further validated against 2 years of independent data at the same sites.The re-parameterized model enabled good simulation of the maize leaf area index(LAI),biomass,grain yield,P uptake,and grain P content in response to different levels of P additions against both the calibration and validation datasets.Our results showed that APSIM needs to be re-parameterized for simulation of maize LAI dynamics through modification of leaf size curve and a reduction in the rate of leaf senescence for modern stay-green maize cultivars in China.The P concentration limits(maximum and minimum P concentrations in organs)at different stages also need to be adjusted.Our results further showed a curvilinear relationship between the measured Olsen-P concentration and simulated labile P content,which could facilitate the initialization of APSIM P pools in the NCP with Olsen-P measurements in future studies.It remains difficult to parameterize the APSIM SoilP module due to the conceptual nature of the pools and simplified conceptualization of key P transformation processes.A fundamental understanding still needs to be developed for modelling and predicting the fate of applied P fertilizers in soils with contrasting physical and chemical characteristics.
Weina Zhang、Zhigan Zhao、Di He、Junhe Liu、Haigang Li、Enli Wang
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School of Biological and Food Processing Engineering,Huanghuai University,Zhumadian 463000,China
Key Laboratory of Plant-Soil Interactions,Ministry of Education/College of Resources and Environmental Sciences,China Agricultural University,Beijing 100193,China
CSIRO Agriculture and Food,Canberra,ACT 2601,Australia
Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Grassland Resource(IMAU),Ministry of Education/College of Grassland,Resources and Environment,Inner Mongolia Agricultural University,Hohhot 010018,China
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National Natural Science Program of ChinaChina Scholarship Council(CSC)through the CSC-CSIRO(Commonwealth Scientific and Industrial Research Organisation)Joint Ph D Zhumadian Major Scientific and Technological Innovation Project,ChinaHuanghuai University Scientific Research Foundation,China
国家科技期刊平台
NSTL
万方数据
