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Adaptability of WOFOST model to simulate the whole growth period of maize in Hetaoirrigation region of Inner Mongolia.

SUN Lin-li1, HOU Qiong2, MA Yu-ping3, ZHAO Hui-ying4*, ZHAO Fang4, ZHANG Fu-chao4   

  1. (1 Tongliao Meteorological Bureau of Inner Mongolia, Tongliao 028000, Inner Mongolia, China; 2 Inner Mongolia Institute of Meteorological Sciences, Hohhot 010051, China; 3 Chinese Academy of Meteorological Sciences, Beijing 100081, China; 4Heilongjiang Institute of Meteorological Sciences, Harbin 150030, China)
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  • Online:2016-03-10 Published:2016-03-10

Abstract: Introducing a mature crop model and validating its adaptability can provide a basis for further study of maize growth monitoring and yield estimation in Hetao irrigation region. Based on the observed maize data in 2012, as well as the local weather and soil data, the WOFOST crop model developed by Wageningen University was calibrated and verified by the crop data of 2013 and agrometeorological observation data from 2001 to 2011 at Bayannur agrometeorological experiment station. The basic crop parameters were obtained, which included specific leaf area, maximum rate of CO2 assimilation, lightuse efficiency of single leaf, etc. The result showed that after parameters were calibrated, WOFOST model could simulate LAI expansion and biomass accumulation well, and the simulated values on LAI, biomass of organs and yield fitted well with the observed ones. The average absolute deviation of LAI was 0.75, and the normalized root mean square errors (NRMSE) for dry weight of leaves, stems, storage organs, total aboveground biomass and yield were 33%, 26%, 17%, 18%, and 13%, respectively. The NRMSE for the simulated yield from 2001 to 2011 was 7.5%. Therefore, it was reasonable and practical to simulate LAI, biomass of organs and yield by the calibrated model. WOFOST model was suitable for the diagnosis and assessment of physiological and ecological factors during maize production in the Hetao irrigation region.

Key words: Clostera anachoreta, genetic differentiation, stress effect, transgenic poplar, SSR