An aboveground biomass partitioning coefficient model for rapeseed (Brassica napus L.)

文献类型： 外文期刊

第一作者： Zhang, Wenyu

作者： Zhang, Wenyu;Cao, Hongxin;Zhang, Weixin;Ge, Daokuo;Cao, Jing;Xia, Ji'an;Xuan, Shouli;Liang, Wanjie;Zhang, Lingling;Wu, Qian;Sun, Chuanliang;Shi, Chunlin;Liu, Yan;Han, Xujie;Pan, Yue;Tang, Puchuan;Wu, Fei;Zhang, Wenyu;Hanan, Jim Scott;Zhang, Wenyu;Tang, Puchuan;Xia, Ji'an;Chen, Yuli

作者机构：

关键词： Rapeseed; Biomass partitioning coefficient; Growth model; Morphological model; Functional structural plant models (FSPMs)

期刊名称：FIELD CROPS RESEARCH （ 影响因子：5.224； 五年影响因子：6.19 ）

ISSN： 0378-4290

年卷期： 2020 年 259 卷

页码：

收录情况： SCI

摘要： Biomass partitioning is a pivotal part of the function-structure feedback mechanism. To improve the simulation of aboveground biomass partitioning in growth models for rapeseed (Brassica napus L.), we developed an aboveground biomass partitioning coefficient model for main stem and primary branches, and the stems, leaves, and pods on them, by quantifying the relationships between the biomass partitioning coefficient of major organs aboveground and physiological day of development (DPD). To realize this goal, dry matter data of organs were derived from an outdoor experiment with rapeseed cultivars Ningyou18 and Ningza19 under different fertilizer and transplanting density treatments in the 2012-2015 growing seasons. The model was fitted by calculating the partitioning coefficients of different organs as the ratio of the biomass of organs and their superior organs and normalizing DPD into the [0, 1] interval. Various model variables were parameterized to explain the effects of cultivar and environmental conditions on biomass partitioning coefficients for different organs. Our descriptive models were validated with independent experimental data, the correlation (r) of simulation and observation values all had significant level at P < 0.001, the absolute values of the average absolute difference (d(a)) are all less than 0.062, except for the main-stem pods, primary branch, primary-branch leaves model, the ratio of d(a) to the average observation (d(ap)) are all less than 6.263%, and r are all greater than 0.9 except primary-branch leaves and primary-branch stems model. The results showed that most models have good performance and reliability for predicting biomass partitioning coefficient of the main stem, the primary branch, and the organs on them. This sets the stage for linking a growth model with the biomass-based morphological model, for the development of a functional-structural rapeseed model.

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