Evaluation of APSIM - Maize model under different sowing dates at Samaru, Nigeria

被引:0
作者
Yamusa, A. M. [1 ]
Akinseye, F. M. [2 ]
机构
[1] Ahmadu Bello Univ, Inst Agr Res, Meteorol Serv Unit, Zaria, Nigeria
[2] Fed Univ Technol Akure, Dept Meteorol, Akure, Nigeria
来源
JOURNAL OF AGROMETEOROLOGY | 2018年 / 20卷 / 03期
关键词
Agricultural productivity; APSIM; crop simulation; maize; rainfall; ZEA-MAYS L; MADHYA-PRADESH; PRODUCTIVITY; TEMPERATURE; SIMULATION; CLIMATE;
D O I
暂无
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
APSIM - maize model was validated with the experimental data on three maize cultivars (Sammaz 33, Sammaz 37 and Sammaz 27) sown on three different dates during 2015 wet season at the Institute for Agricultural Research Samaru Zaria Nigeria (Lat. 7R '' 38'N, Long. 11R '' 11'E Lat. 686m). For the testing efficiency of the model performance, R-2, RMSE and RMSEn was computed. RMSEn between observed and simulated values by APSIM for grain yield was lowest (5.4%) for Sammaz 33 cultivar as compared to Sammaz 37 (10.5%) and Sammaz 26 (27.6%). Similar results were obtained for the other parameters, with Sammaz 33 out yielding the other two cultivars. The observed values under second sowing date showed better performance of days to flowering, physiological maturity and leaf area index for all the varieties. The grain yield performance were higher under first sowing date. The results led to the conclusion that APSIM model is efficient in simulating maize growth and development in arid environment of Samaru.
引用
收藏
页码:206 / 210
页数:5
相关论文
共 15 条
[1]   Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States [J].
Archontoulis, Sotirios V. ;
Miguez, Fernando E. ;
Moore, Kenneth J. .
AGRONOMY JOURNAL, 2014, 106 (03) :1025-1040
[2]   Simulating impact of seasonal climatic variation on the response of maize (Zea mays L.) to inorganic fertilizer in sub-humid Ghana [J].
Fosu-Mensah, B. Y. ;
MacCarthy, D. S. ;
Vlek, P. L. G. ;
Safo, E. Y. .
NUTRIENT CYCLING IN AGROECOSYSTEMS, 2012, 94 (2-3) :255-271
[3]  
Iken J. E., 2004, African Journal of Biotechnology, V3, P302
[4]  
Mohanty M, 2017, J AGROMETEOROL, V19, P342
[5]  
Mohanty M, 2017, J AGROMETEOROL, V19, P10
[6]  
Mohanty M, 2015, J AGROMETEOROL, V17, P185
[7]  
NIMET, 2015, NIG MET AG SEAS RAIN
[8]  
Obi I. U., 1991, MAIZE ITS AGRONOMY D
[9]  
Oluwasemire K. O., 2004, Nigerian Journal of Soil Research, V5, P23
[10]  
Omotosho JB, 2000, INT J CLIMATOL, V20, P865, DOI 10.1002/1097-0088(20000630)20:8<865::AID-JOC505>3.0.CO