Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea
Xike Zhang A B D , Jae-Hong Lee C , Yahya Abawi A B , Young-ho Kim C , David McClymont A and Hee-Dong Kim CA Climate and Systems Technologies, Queensland Department of Primary Industries & Fisheries, PO Box 102, Toowoomba, Qld 4350, Australia.
B Agricultural Production Systems Research Unit, Queensland Department of Primary Industries, PO Box 102, Toowoomba, Qld 4350, Australia.
C Crop Research Division, Gyeonggi Agricultural Research and Extension Services, Hwaseong 445-972, Gyeonggi Province, Republic of Korea.
D Corresponding author. Email: xike.zhang@climatechange.qld.gov.au
Australian Journal of Experimental Agriculture 47(12) 1446-1454 https://doi.org/10.1071/EA05363
Submitted: 21 December 2005 Accepted: 5 July 2007 Published: 16 November 2007
Abstract
APSIM-ORYZA is a new functionality developed in the APSIM framework to simulate rice production while addressing management issues such as fertilisation and transplanting, which are particularly important in Korean agriculture. To validate the model for Korean rice varieties and field conditions, the measured yields and flowering times from three field experiments conducted by the Gyeonggi Agricultural Research and Extension Services (GARES) in Korea were compared against the simulated outputs for different management practices and rice varieties. Simulated yields of early-, mid- and mid-to-late-maturing varieties of rice grown in a continuous rice cropping system from 1997 to 2004 showed close agreement with the measured data. Similar results were also found for yields simulated under seven levels of nitrogen application. When different transplanting times were modelled, simulated flowering times ranged from within 3 days of the measured values for the early-maturing varieties, to up to 9 days after the measured dates for the mid- and especially mid-to-late-maturing varieties. This was associated with highly variable simulated yields which correlated poorly with the measured data. This suggests the need to accurately calibrate the photoperiod sensitivity parameters of the model for the photoperiod-sensitive rice varieties in Korea.
Additional keywords: rice, systems modelling
Acknowledgements
The research was conducted under a Memorandum of Understanding signed between the Department of Primary Industries and Fisheries, Queensland, Australia, and Fisheries and Gyeonggi Province Agricultural Research and Extension Services, Republic of Korea. Support from the two organisations is acknowledged. The authors thank the two reviewers for their valuable comments on the manuscript.
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.
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