Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.eja.2017.10.008 |
Predicting water and nitrogen requirements for maize under semi-arid conditions using the CSM-CERES-Maize model | |
Hammad, Hafiz Mohkum1,2; Abbas, Farhat3; Ahmad, Ashfaq4; Farhad, Wajid5; Anothai, Jakarat2,6; Hoogenboomb, Gerrit2,7 | |
通讯作者 | Hammad, Hafiz Mohkum |
会议名称 | International Crop Modelling Symposium on Crop Modelling for Agriculture and Food Security under Global Change (iCropM) |
会议日期 | 2016 |
会议地点 | Berlin, GERMANY |
英文摘要 | Crop models can be useful tools for optimizing irrigation water and fertilizer management to improve crop productivity. The goal of this study was to assess the performance of the Cropping System Model (CSM)-CERES-Maize for its capability to simulate soil moisture content in relation to plant growth, development and grain yield and to determine optimum irrigation and fertilizer inputs under semiarid conditions. The model simulations were compared with the observed results from field trials that were conducted during 2009 and 2010 with a combination of three irrigation regimes (full irrigation, water deficit at vegetative and at reproductive stage) and five nitrogen (N) rates using a split plot design for a total of 15 treatments. To determine the most appropriate combination of nitrogen fertilizer and irrigation, a combination of three irrigation regimes and five N rates ranging from 100 to 300 kg N ha(-1) for a total of 15 scenarios were simulated for 35 years of historical daily weather data. The model was calibrated with an optimum treatment from the 2010 experiment, while the remainder of the data were used for model evaluation. The results showed that the model successfully predicted (R-2 = 0.98) soil moisture content throughout the growing season. The observed (calibrated) mean percentage differences (MPD) for the numbers of grains per ear, leaf area index (LAI) and total dry matter (TDM) were 5.98, 11.4, and 4.85%, respectively. The MPD was zero for yield, anthesis and maturity days. The normalized root mean square error (nRMSE) for grain yield was 10.4% and 11.4% in 2009 and 2010, respectively. Based on the economic analysis, the management scenario with an N fertilizer application rate of 300 kg N ha(-1) in three splits and total irrigation of 525 mm was dominant with the highest mean grain yield (7973 kg ha(-1)) and a gross margin of US $ 548 ha(-1). The outcomes of this study can be used for determining the optimum water and N requirements for maize production under semi-arid conditions. The modeled genetic coefficients might be helpful for plant breeders to develop maize cultivars for semi-arid regions that may give the optimum yield under above recommended N and water management practices. |
英文关键词 | Cropping system model Maize genetic coefficients Monetary return Irrigation management Soil moisture contents |
来源出版物 | EUROPEAN JOURNAL OF AGRONOMY |
ISSN | 1161-0301 |
EISSN | 1873-7331 |
出版年 | 2018 |
卷号 | 100 |
页码 | 56-66 |
出版者 | ELSEVIER SCIENCE BV |
类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Pakistan;USA;Thailand |
收录类别 | SCI-E ; CPCI-S |
WOS记录号 | WOS:000453490900006 |
WOS关键词 | WITHIN-SEASON PREDICTION ; CROP SIMULATION-MODELS ; GENETIC COEFFICIENTS ; YIELD PREDICTION ; PLANT-POPULATION ; OPTIMIZING WATER ; CLIMATE-CHANGE ; WHEAT MODEL ; CORN YIELD ; LEAF-AREA |
WOS类目 | Agronomy |
WOS研究方向 | Agriculture |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307888 |
作者单位 | 1.COMSATS Inst Informat Technol, Dept Environm Sci, Vehari 61100, Pakistan; 2.Washington State Univ, AgWeatherNet, Prosser, WA 99350 USA; 3.Govt Coll Univ, Dept Environm Sci & Engn, Faisalabad 38000, Pakistan; 4.Univ Agr Faisalabad, Dept Agron, Faisalabad 38040, Pakistan; 5.Lasbela Univ Agr Water & Marine Sci, Dept Agron, Uthal 90150, Pakistan; 6.Prince Songkla Univ Hat Yai, Dept Plant Sci, Songkhla 90112, Thailand; 7.Univ Florida, Inst Sustainable Food Syst, Gainesville, FL 32611 USA |
推荐引用方式 GB/T 7714 | Hammad, Hafiz Mohkum,Abbas, Farhat,Ahmad, Ashfaq,et al. Predicting water and nitrogen requirements for maize under semi-arid conditions using the CSM-CERES-Maize model[C]:ELSEVIER SCIENCE BV,2018:56-66. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。