Simulation of the Dynamic Response of Dry Matter Accumulation of Spring Maize in Northeast China to Sowing Dates and Varieties Based on Normalization Method

doi:10.3969/j.issn.1000-6362.2019.06.003

Abstract

Abstract: For effectively estimating the dry matter accumulation (DMA) process of spring maize, based on the experiments of six sowing dates for spring maize of three varieties including ‘Danyu 39’, ‘Danyu 99’ and ‘Nonghua 101’ during 2014?2015, considering relative accumulation temperature (RAT), the dynamic simulation model of DMA i.e. Richards model was built by using normalization method and the dynamic responses of DMA of spring maize in Northeast China to varieties and sowing dates were investigated by taking the calculated key growing parameters into account. The results showed that the Richards model was built based on the relationship between the relative dry matter weight (RDMA) and the RAT and demonstrates a satisfactory simulation performance for spring maize in northeast China. Further analyzing showed that the model had higher simulation accuracy for early sowing date and the model performance for ‘Danyu39’ was better than those for ‘Danyu 99’ and ‘Nonghua’. In addition, the DMA decreased with the sowing date delaying and presented a descending order by ‘Danyu 39’ , ‘Danyu 99’ and ‘Nonghua101’ with significant differences. Besides, the dry matter accumulation process could be divided into three stages including gradual, linearly accelerating and decelerating growth period. More specifically, the linearly accelerating growth period (LAGP) was the major phase of DMA during which accumulated temperature, the mean rate of DMA and its peak value as well as the amount of DMA and its proportion to total DMA were gradually decreasing to different degrees with the sowing time delaying. Whereas, the above-mentioned characters indicated significant differences among varieties. To be specific, the LAGP, the mean rate of DMA and its peak value as well as the amount of DMA for ‘Danyu39’ was longer and larger than those for ‘Danyu 99’ and ‘Nonghua 101’, respectively.

Key words: Spring maize, Sowing date, Richards model, Dry matter accumulation, Growth characteristic

ZHANG Bing-bing, WU Hang, YANG Lu, Lv Xiao, ZHANG Fang, ZHANG Hui, GAO Quan, YANG Yang. Simulation of the Dynamic Response of Dry Matter Accumulation of Spring Maize in Northeast China to Sowing Dates and Varieties Based on Normalization Method[J]. Chinese Journal of Agrometeorology, 2019, 40(06): 357-367.

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