Simulation on Dry Matter Distribution Coefficient for Summer Maize in North China

doi:10.3969/j.issn.1000-6362.2016.03.009

Abstract

Abstract:

Dry matter distribution coefficient was a key parameter for driving maize growth model. Based on the field experimental data of two consecutive years (2013 and 2014) in Xiajin, Shandong province, Gucheng, Hebei province and Yuncheng, Shanxi province, the biomass sequence in the whole growth duration of maize was obtained by using the ratio method and linear regression correction method. On such a basis, the dynamic change model of dry matter distribution for summer maize in North China was established by taking the development stage of effective simulation of accumulated temperature as the independent variable. The results showed that: (1) There were same dynamic change characteristics for dry matter distribution coefficient of maize from three stations. The dry matter distribution coefficient for leaves kept reducing from seedling process, and the dry matter distribution coefficient for stems increased at the beginning and then decreased with the maximum value occurring at tasseling stage. The dry matter partitioning coefficient for ears increased after the tasseling and reached 1 after 20 days, which meant the dry matter was no longer allocated to leaves and stems. (2) Both dry matter distribution coefficients for leaves and stems of summer maize in North China could be simulated by piecewise nonlinear model. The dry matter distribution coefficient for leaves was distinguished at 10-15 days after tasseling, which could be simulated by three times polynomial dynamic model before tasseling along with the development process, and became 0 after tasseling. The dry matter distribution coefficient for stems was distinguished at 20-25 days after tasseling, which could be simulated by four times polynomial dynamic model before tasseling along with the development process, and became 0 after tasseling. The dry matter distribution coefficient for ears could calculated by the sum of the dry matter distribution coefficient for leaves, stems and ears, which was 1. The results indicated that the simulation effect of dynamic model for dry matter distribution coefficient of summer maize was proficient in North China.

Key words: Dry matter distribution coefficient, Model, Field experiment, Accumulated temperature, Development stage

LI Hao, TAN Fang-ying, WANG Jian-lin, TAN Kai-yan, XU Ying, WANG Zhi-wei. Simulation on Dry Matter Distribution Coefficient for Summer Maize in North China[J]. Chinese Journal of Agrometeorology, 2016, 37(03): 335-342.

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