Simulation of Grain-filling of Spring Maize (Zhengdan 958) in Northeast China

doi:10.3969/j.issn.1000-6362.2015.03.010

Abstract

Abstract: The grain-filling model of spring maize was established by richards equation with the experiement data of Baicheng from 2011 to 2013. The grain-filling characteristic was analyzed based on the confirm and calibration of the model. The results showed that universal grain-filling model passed the 0.01 level of significance test which the days after flowering（model I）, active accumulated temperature（model II）, effective accumulated temperature above 10℃ （model III）were independent variable and the dry weight of 100-grain was dependent variable. Measured and simulated value scattered around ?10% with 1:1 line, which NSE（Nash-Sutcliffe index） and RSR（the rate of root-mean-square error to standard deviation） performenced very well. Model I showed that the active grain-filling duration of spring maize in northeast China was 46d and mean grain-filling rate was 0.84g·d-1. Grain-filling rate reached maximun(1.23g·d-1) when the days was 32d after flowering, and dry weight was 15.17g. The contribution rate of middle stage of grain-filling was 65.60%, early stage and late stage was 10.50%, 23.90%，respectively. Model II and model III showed that the active accumulated temperature and effective accumulated temperature of grain-filling were 1043.5℃·d and 679.1℃·d. Grain-filling rate reached maximun when the active accumulated temperature and effective accumulated temperature were 782.8℃·d and 473.3℃·d after flowering. Contribution rate of middle stage of grain-filling was 67.68%. Three models showed that the contribution rate of middle stage was high while early and late stage were relatively low. So, the most dry weight of spring maize was completed in the middle stage of grain-filling.

Key words: Spring maize, Grain-filling model, Accumulated temperature, Northeast China

GUO Chunming， REN Jingquan， QU Simiao， LI Zhonghui. Simulation of Grain-filling of Spring Maize (Zhengdan 958) in Northeast China[J]. Chinese Journal of Agrometeorology, 2015, 36(03): 323-330.

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