Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea

Australian Journal of Experimental Agriculture

Volumn 47, Issue 12, 2007, Pages 1446-1454

  Zhang, Xike ^a,b   Lee, Jae Hong ^c   Abawi, Yahya ^a,b   Kim, Young Ho ^c   McClymont, David ^a   Kim, Hee Dong ^c  

^a DEPARTMENT OF AGRICULTURE AND FISHERIES   (Australia)

^b CSIRO   (Australia)

^c Gyeonggi Province Agricultural Research and Extension Services   (South Korea)

Author keywords

Rice; Systems modelling

Indexed keywords

COMPUTER SIMULATION; CONTINUOUS CROPPING; CROP PRODUCTION; CROP YIELD; FERTILIZER APPLICATION; HIGH YIELDING VARIETY; NITROGEN; RICE; TRANSPLANTATION;

ASIA; EURASIA; FAR EAST; KOREA; KYONGGI; SOUTH KOREA;

EID: 36248958771     PISSN: 08161089     EISSN: None     Source Type: Journal    
DOI: 10.1071/EA05363     Document Type: Article

References (23)

1. Bouman BAM, van Laar HH (2006) Description and evaluation of the rice growth simulation model ORYZA2000 under nitrogen-limited conditions. Agricultural Systems 87, 249-273. doi:10.1016/j.agsy. 2004.09.011
2. Bouman BAM, Kropff MJ, Tuong TP, Wopereis MCS, ten Berge HFM, van Laar HH (2001) 'ORYZA2000: modelling lowland rice.' (International Rice Research Institute, Wageningen University: Los Banos, Philippines) 235 pp.
3. Cassman KG, Gines GC, Dizon MA, Samson MI, Alcantara JM (1996) Nitrogen-use efficiency in tropical lowland rice systems: contributions from indigenous and applied nitrogen. Field Crops Research 47, 1-12. doi:10.1016/0378-4290(95)00101-8
4. Cho YS, Choe ZR, Ockerby SE (2001a) Managing tillage, sowing rate and nitrogen top-dressing level to sustain rice yield in a low-input, directs-own, rice-vetch cropping system. Australian Journal of Experimental Agriculture 41, 61-69. doi:10.1071/EA00075
5. Cho YS, Lee BZ, Choe ZR, Ockerby SE (2001b) An evaluation of a notillage, unfertilized, direct-sown, wheat-rice cropping system in Korea. Australian Journal of Experimental Agriculture 41, 53-60. doi:10.1071/EA00060
6. Choe ZR, Kim JB, Cho YS (1998) Practices of sustainable agriculture in Korea with references for the development of sustainable rice production systems. In 'Proceedings of the KSCS and KBS symposium for the 50th anniversary of GSNU'. pp. 228-312.
7. Choi KJ, Lee JI, Chung NJ, Yang WH (2002) The effect of temperature and day-length on the heading of rice cultivars. Treatises of Crop Researches 3, 163-170.
8. Chung SO, Kim HS, Kim JS (2003) Model development for nutrient loading from paddy rice fields. Agricultural Water Management 62, 1-17. doi:10.1016/S0378-3774(03)00078-7
9. Godwin DC, Singh U (1998) Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems. In 'Understanding options for agricultural production'. (Eds GY Tsuji, G Hoogenboom, PK Thornton) pp. 55-77. (Kluwer Academic Publishers: Dordrecht)
10. Keating BA, Robertson MJ, Muchow RC, Huth NI (1999) Modelling sugarcane production systems. development and performance of the sugarcane module. Field Crops Research 61, 253-271. doi:10.1016/S0378-4290(98)00167- 1
11. Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, et al. (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267-288. doi:10.1016/S1161-0301(02)00108-9
12. Kim JH, Shin JC, Lee MH, Kim DU (1998a) Development of simulation model for the estimation of grain yield in Korean rice cultivars. RDA Journal of Crop Science 40, 118-125.
13. Kim JH, Shin JC, Lee MH, Kim DU (1998b) Development of simulation model for the estimation of growth stage in Korean rice cultivars. RDA Journal of Crop Science 40, 126-134.
14. Lee BW, Nam TS, Yim YS (1999) Relationship between plastochrone and development indices estimated by a nonparametric rice phenology model. Korean Journal of Crop Science 44, 149-152.
15. Lee CK, Lee BW, Shin JC, Yoon YH (2001) Heading date and final number as affected by sowing date and prediction of heading date based on leaf appearance model in rice. Korean Journal of Crop Science 46, 195-201.
16. Lisson SN, Robertson MJ, Keating BA, Muchow RC (2000) Modelling sugarcane production systems: analysis of system performance and methodology issues. Field Crops Research 68, 31-48. doi:10.1016/S0378-4290(00)00108-8
17. Loague K, Green RE (1991) Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology 7, 51-73. doi:10.1016/0169-7722(91)90038-3
18. Mayer DG, Butler DG (1993) Statistical validation. Ecological Modelling 68, 21-32. doi:10.1016/0304-3800(93)90105-2
19. Robertson MJ, Carberry PS, Huth NI, Turpin JE, Probert ME, Poulton PL, Bell M, Wright GC, Yeates SJ, Brinsmead RB (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429-446. doi:10.1071/AR01106
20. Yang J, Greenwood DJ, Rowell DL, Wadsworth GA, Burns IG (2000) Statistical methods for evaluating a crop nitrogen simulation model, N_ABLE. Agricultural Systems 64, 37-53. doi:10.1016/S0308-521X(00)00010-X
21. Yin XY, Kropff MJ (1998) The effect of photoperiod on interval between panicle initiation and flowering in rice. Field Crops Research 57, 301-307. doi:10.1016/S0378-4290(98)00074-4
22. Yin XY, Kropff MJ, Ynalvez MA (1997) Photoperiodically sensitive and insensitive phases of preflowering development in rice. Crop Science 37, 182-190.
23. Zhang XK, Meinke H, Devoil P, van Laar HH, Bouman B, Abawi Y (2004) Simulating growth and development of lowland rice in APSIM. In 'Proceedings of 4th international crop science conference, Brisbane'. Available at http://www.cropscience.org.au/icsc2004/poster/2/8/1212_zhang.htm [Verified 24 October 2007]