Improving Rice Modeling Success Rate with Ternary Non-structural Fertilizer Response Model
文献类型： 外文期刊
作者： Li, Juan 1 ; Zhang, Mingqing 1 ; Chen, Fang 2 ; Yao, Baoquan 1 ;
作者机构： 1.Fujian Acad Agr Sci, Soil & Fertilizer Inst, Fuzhou 350013, Fujian, Peoples R China
2.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Hubei, Peoples R China
3.Wuhan Off Int Plant Nutr Inst, Wuhan 430074, Hubei, Peoples R China; Fujian Cropland Construct & Soil & Fertilizer Stn, Fuzhou 350003, Fujian, Peoples R China
期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）
ISSN： 2045-2322
年卷期： 2018 年 8 卷
页码：
收录情况： SCI
摘要： Fertilizer response modelling is an important technical approach to realize metrological fertilization on rice. With the goal of solving the problems of a low success rate of a ternary quadratic polynomial model (TPFM) and to expand the model's applicability, this paper established a ternary non-structural fertilizer response model (TNFM) based on the experimental results from N, P and K fertilized rice fields. Our research results showed that the TNFM significantly improved the modelling success rate by addressing problems arising from setting the bias and multicollinearity in a TPFM. The results from 88 rice field trials in China indicated that the proportion of typical TNFMs that satisfy the general fertilizer response law of plant nutrition was 40.9%, while the analogous proportion of TPFMs was only 26.1%. The recommended fertilization showed a significant positive linear correlation between the two models, and the parameters N-0, P-0 and K-0 that estimated the value of soil supplying nutrient equivalents can be used as better indicators of yield potential in plots where no N or P or K fertilizer was applied. The theoretical analysis showed that the new model has a higher fitting accuracy and a wider application range.
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