Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (04): 740-746.doi: 10.3724/SP.J.1006.2012.00740

Previous Articles     Next Articles

Adaptability of APSIM Maize Model in Northeast China

LIU Zhi-Juan1,YANG Xiao-Guang1,*,WANG Jing1,LÜ Shuo1,LI Ke-Nan1,XUN Xin1,WANG En-Li2   

  1. 1 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; 2 The Commonwealth Scientific and Industrial Research Organisation Land and Water, GPO Box 1666, Black Mountain, Canberra, ACT 2601, Australia
  • Received:2011-07-29 Revised:2011-12-19 Online:2012-04-12 Published:2012-02-13
  • Contact: 杨晓光, E-mail: yangxg@cau.edu.cn

Abstract: The APSIM (Agricultural Production Systems Simulator) model was introduced to simulate maize growth, development and yields in the northeast China using the field experimental data and climate data collected from six typical agricultural meteorological stations in the studied area. APSIM was calibrated using the first part of data to determine the varietal parameters, then simulated the growing periods, leaf area index (LAI), total above-ground biomass and yields using the second part of data at each site. The results showed that there was a good agreement between the simulated and observed values in growing periods. The difference of growing periods from sowing to emergence, form sowing to flowering and form sowing to maturity between simulated and observed data was 02.0, 0.72.0, and 0.72.3 d, respectively. The Normalized Root Mean Square Error(NRMSE) values for measured and simulated LAI and total above-ground biomass in Harbin station were 33% and 11%, respectively. NRMSE values for measured and simulated yield in Harbin, Hailun, Tailai, Huadian, Tonghua, and Benxi station were 18%, 13%, 4%, 4%, 5%, and 2%, respectively. These results indicated that APSIM model has good ability to simulate the growing periods, dynamic process of LAI, dynamic process of above-ground biomass and yield of maize in Northeast of China. This research supports the model application in Northeast of China, such as simulating maize potential yield, or prescribing yield limiting factors.

Key words: the Northeast China, Maize, APSIM, Calibration, Adaptability

[1]Yang X, Lin E D, Ma S M, Ju H, Guo L P, Xiong W, Li Y, Xu Y L. Adaptation of agriculture to warming in Northeast China. Clim Change, 2007, 84: 45–58

[2]Cheng Y-Q(程叶青), Zhang P-Y(张平宇). Regional patterns changes of Chinese grain production and response of commodity grain base in Northeast China. Sci Geogr Sin (地理科学), 2005, 25(5): 513–520 (in Chinese with English abstract)

[3]Ma S-Q(马树庆), Wang Q(王琪), Wang C-Y(王春乙), Huo Z-G(霍治国). The risk division on climate and economic loss of maize chilling damage in Northeast China. Geogr Res (地理研究), 2008, 27(5): 1169–1177 (in Chinese with English abstract)

[4]Asseng S, Keulen H V, Stol W. Performance and application of the APSIM wheat model in the Netherlands. Eur J Agron, 2000, 12: 37–54

[5]Probert M E, Keating B A, Thompson J P, Parton W J. Modelling water, nitrogen, and crop yield for a long-term fallow management experiment. Aust J Exp Agric, 1995, 35: 941–950

[6]Asseng S, Fillery I R P, Dunin F X, Keating B A, Meinke H. Potential deep drainage under wheat crops in a Mediterranean climate: I. Temporal and spatial variability. Aust J Agric Res, 2001, 52: 45–56

[7]Asseng S, Anderson G C, Dunin F X, Fillery I R P, Dolling P J, Keating B A. Use of the APSIM wheat model to predict yield, drainage, and NO3-leaching for a deep sand. Aust J Agric Res, 1997, 49: 363–378

[8]Wu D R, Yu Q, Lu C H, Hengsdijk H. Quantifying production potentials of winter wheat in the North China Plain. Eur J Agron, 2006, 24: 226–235

[9]Wang E L, Cresswell H, Paydar Z, Gallant J. Opportunities for manipulating catchment water balance by changing vegetation type on a topographic sequence: a simulation study. Hydrol Process, 2008, 22: 736–749

[10]Wang E L, Xu J X, Smith C J. Value of historical climate knowledge, SOI based seasonal climate forecasting and stored soil moisture at sowing in crop nitrogen management in south eastern Australia. Agric Forest Meteor, 2008, 148: 1743–1753

[11]Wang E L, Yu Q, Wu D R, Xia J. Climate, agricultural production and hydrological balance in the North China Plain. Int J Climatol, 2008, doi:10.1002/joc.1677

[12]Keating B A, Carberry P S, Hammer G L, Probert M E, Robertson M J, Holzworth D, Huth N I, Hargreaves J N G, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes J P, Silburn M, Wang E, Brown S, Bristow K L, Asseng S, Chapman S, McCown R L, Freebairn D M, Smith C J. An overview of APSIM, a model designed for farming systems simulation. Eur J Agron, 2003, 18: 267–288

[13]Asseng S, Keating B A, Fillery I R P, Gregory P J, Bowden J W, Turner N C, Palta J A, Abrecht D G. Performance of the APSIM-wheat model in Western Australia. Field Crops Res, 1998, 57: 163–179

[14]Robertson M J, Carberry P S, Huth N I, Turpin J E, Probert M E, Poulton P L, Bell M, Wright G C, Yeates S J, Brinsmead R B. Simulation of growth and development of diverse legume species in APSIM. Aust J Agric Res, 2002, 53: 429–446

[15]Bassu S, Asseng S, Motzo R, Giunta F. Optimising sowing date of durum wheat in a variable Mediterranean environment. Field Crops Res, 2009, 111: 109–118

[16]Assenga S, Jamieson P D, Kimball B, Pinter P, Sayre K, Bowden J W, Howden S M. Simulated wheat growth affected by rising temperature, increased water deficit and elevated atmospheric CO2. Field Crops Res, 2004, 85: 85–102

[17]Peake A S, Robertson M J, Bidstrup R J. Optimising maize plant population and irrigation strategies on the Darling Downs using the APSIM crop simulation model. Aust J Exp Agric, 2008, 48: 313–325

[18]Chen C, Wang E, Yu Q. Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agric Water Manage, 2010, 97: 1175–1184

[19]Wang L(王琳), Zheng Y-F(郑有飞), Yu Q(于强), Wang E-L(王恩利). Applicability of agricultural production systems simulator (APSIM) in simulating the production and water use of wheat-maize continuous cropping system in North China Plain. Chin J Appl Ecol (应用生态学报), 2007, 18(11): 2480–2486 (in Chinese with English abstract)

[20]Li Y(李艳), Xue C-Y(薛昌颖), Liu Y(刘园), Yang X-G(杨晓光). Adoptability of APSIM model simulating growth of winter wheat in Beijing and Yucheng. Meteorology (气象), 2008, 34(special issue): 271–279 (in Chinese)

[21]Sun N(孙宁), Feng L-P(冯利平). Assessing the climatic risk to crop yield of winter wheat using crop growth models. Trans CSAE (农业工程学报), 2005, 21(2): 106–110 (in Chinese with English abstract)

[22]Liu Z-J(刘志娟), Yang X-G(杨晓光), Wang W-F(王文峰), Li K-N(李克南), Zhang X-Y(张晓煜). Characteristic of agricultural climate resource in the context of global climate change in three provinces of Northeast China. Chin J Appl Ecol (应用生态学报), 2009, 20(9): 2199–2206 (in Chinese with English abstract)

[23]Allen R G, Pereira L S, Raes D, Smith M. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage. Rome: Food and Agriculture Organization of the United Nations, 1998. p 56

[24]Wallach D, Goffinet B. Mean squared error of prediction in models for studying ecological and agronomic systems. Biometrics, 1987, 43: 561–573

[25]Willmott C J. Some comments on the evaluation of model performance. Bull Am Meteor Soc, 1982, 63: 1309–1313
[1] WANG Dan, ZHOU Bao-Yuan, MA Wei, GE Jun-Zhu, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(6): 1437-1450.
[2] YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487.
[3] CHEN Jing, REN Bai-Zhao, ZHAO Bin, LIU Peng, ZHANG Ji-Wang. Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates [J]. Acta Agronomica Sinica, 2022, 48(6): 1502-1515.
[4] SHAN Lu-Ying, LI Jun, LI Liang, ZHANG Li, WANG Hao-Qian, GAO Jia-Qi, WU Gang, WU Yu-Hua, ZHANG Xiu-Jie. Development of genetically modified maize (Zea mays L.) NK603 matrix reference materials [J]. Acta Agronomica Sinica, 2022, 48(5): 1059-1070.
[5] XU Jing, GAO Jing-Yang, LI Cheng-Cheng, SONG Yun-Xia, DONG Chao-Pei, WANG Zhao, LI Yun-Meng, LUAN Yi-Fan, CHEN Jia-Fa, ZHOU Zi-Jian, WU Jian-Yu. Overexpression of ZmCIPKHT enhances heat tolerance in plant [J]. Acta Agronomica Sinica, 2022, 48(4): 851-859.
[6] LIU Lei, ZHAN Wei-Min, DING Wu-Si, LIU Tong, CUI Lian-Hua, JIANG Liang-Liang, ZHANG Yan-Pei, YANG Jian-Ping. Genetic analysis and molecular characterization of dwarf mutant gad39 in maize [J]. Acta Agronomica Sinica, 2022, 48(4): 886-895.
[7] YAN Yu-Ting, SONG Qiu-Lai, YAN Chao, LIU Shuang, ZHANG Yu-Hui, TIAN Jing-Fen, DENG Yu-Xuan, MA Chun-Mei. Nitrogen accumulation and nitrogen substitution effect of maize under straw returning with continuous cropping [J]. Acta Agronomica Sinica, 2022, 48(4): 962-974.
[8] XU Ning-Kun, LI Bing, CHEN Xiao-Yan, WEI Ya-Kang, LIU Zi-Long, XUE Yong-Kang, CHEN Hong-Yu, WANG Gui-Feng. Genetic analysis and molecular characterization of a novel maize Bt2 gene mutant [J]. Acta Agronomica Sinica, 2022, 48(3): 572-579.
[9] SONG Shi-Qin, YANG Qing-Long, WANG Dan, LYU Yan-Jie, XU Wen-Hua, WEI Wen-Wen, LIU Xiao-Dan, YAO Fan-Yun, CAO Yu-Jun, WANG Yong-Jun, WANG Li-Chun. Relationship between seed morphology, storage substance and chilling tolerance during germination of dominant maize hybrids in Northeast China [J]. Acta Agronomica Sinica, 2022, 48(3): 726-738.
[10] QU Jian-Zhou, FENG Wen-Hao, ZHANG Xing-Hua, XU Shu-Tu, XUE Ji-Quan. Dissecting the genetic architecture of maize kernel size based on genome-wide association study [J]. Acta Agronomica Sinica, 2022, 48(2): 304-319.
[11] YAN Yan, ZHANG Yu-Shi, LIU Chu-Rong, REN Dan-Yang, LIU Hong-Run, LIU Xue-Qing, ZHANG Ming-Cai, LI Zhao-Hu. Variety matching and resource use efficiency of the winter wheat-summer maize “double late” cropping system [J]. Acta Agronomica Sinica, 2022, 48(2): 423-436.
[12] ZHANG Qian, HAN Ben-Gao, ZHANG Bo, SHENG Kai, LI Lan-Tao, WANG Yi-Lun. Reduced application and different combined applications of loss-control urea on summer maize yield and fertilizer efficiency improvement [J]. Acta Agronomica Sinica, 2022, 48(1): 180-192.
[13] YU Rui-Su, TIAN Xiao-Kang, LIU Bin-Bin, DUAN Ying-Xin, LI Ting, ZHANG Xiu-Ying, ZHANG Xing-Hua, HAO Yin-Chuan, LI Qin, XUE Ji-Quan, XU Shu-Tu. Dissecting the genetic architecture of lodging related traits by genome-wide association study and linkage analysis in maize [J]. Acta Agronomica Sinica, 2022, 48(1): 138-150.
[14] ZHAO Xue, ZHOU Shun-Li. Research progress on traits and assessment methods of stalk lodging resistance in maize [J]. Acta Agronomica Sinica, 2022, 48(1): 15-26.
[15] NIU Li, BAI Wen-Bo, LI Xia, DUAN Feng-Ying, HOU Peng, ZHAO Ru-Lang, WANG Yong-Hong, ZHAO Ming, LI Shao-Kun, SONG Ji-Qing, ZHOU Wen-Bin. Effects of plastic film mulching on leaf metabolic profiles of maize in the Loess Plateau with two planting densities [J]. Acta Agronomica Sinica, 2021, 47(8): 1551-1562.
Full text



No Suggested Reading articles found!