作物肥料效应函数模型研究进展与展望
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国家自然科学基金项目(31572203)和福建省公益科研专项(2014R1022-5)资助


Progress and Prospect of the Study on Crop-response-to-Fertilization Function Model
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Supported by the National Natural Science Foundation of China (No. 31572203) and the Special Public Welfare Scientific Research of Fujian Province (No. 2014R1022-5)

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    摘要:

    在过去四十年里,肥料效应函数模型研究和应用取得重要进展,业已成为我国测土配方施肥的主要技术依据和一个分支体系,其中二次多项式是研究和应用最多的肥效模型。本文对经验肥效模型的类型及其适用性、试验设计、参数估计、类特征肥效模型、非典型式推荐施肥优化方法以及函数法与土测值的结合等方面的研究进展进行了简要综述。在此基础上,分析了问题产生原因和主要诊断方法。为此,建议:未来要深入探讨消除或缓解多元肥效模型多重共线性和异方差危害的补救措施及其有效应用条件;研发非结构肥效模型,克服经验肥效模型专业假设的不合理性;在大量“3414”试验资料基础上开展作物肥效参数识别技术研究,为肥效模型实现微观指导和推荐施肥软件系统研发提供理论模型依据。

    Abstract:

    In the past 40 years, the study and application of crop-response-to-fertilization function model has made significant progresses and has already become the main technical basis for and a branch system of the project of soil-test-based formulated fertilization. The quadratic polynomial model is the most commonly used fertilizer effect model under study and in application. This paper reviewed briefly progresses that have been made in the study on types, applicabilities, experimental designings and, parameter estimation empirical fertilizer effect models, class characteristic fertilizer effect models, non-typical recommended fertilization optimization method and combination of function methods with soil testing and so on. On such a basis, the paper points out that the prevailing fertilizer effect model in the present days has three problems, i.e. multicollinearity, heteroscedasticity and unreasonable professional hypothesis. In quadratic polynomial models strong multicollinearity exists between the one-degree term and the quadratic term, the one-degree term and its interaction effect terms, the quadratic term and its interaction effect terms, and in the square root polynomial model, exists severer multicollinearity. The serious multicollinearity causes errors in “+” or “-” signs of the model coefficient or difficulty to evaluate relationships between independent variables in contribution to crop yield. Model residual analysis shows that fitting residual error of the quadratic polynomial model displays a gradually dispersing funnel-like distribution pattern with increasing rice yield, which indicates that residual variance differs with yield level. Serious heteroscedasticity causes the least squares parameter estimation to be no longer valid, and t test and F test no longer reliable. Besides, the prevailing quadratic polynomial model has two defects in being conformable with practice, that was, linear relationship is used in the function between yield increment per kg nutrient and fertilization rate, and symmetrical relationship is in the function between yield-increasing effect of fertilization before the maximum rate and yield-reducing effect after the maximum rate, which makes it difficult to reflect the actual relationship quantitatively between field fertilization rate and crop yield in the field. The paper also analyzes causes of the problems and their diagnostic method. Therefore, it is suggested that in-depth study should be done to explore remedial measures to eliminate or relieve the impacts of the defects the multi-factor fertilizer effect model and proper conditions for its application, to develop non-structural fertilizer effect models so as to overcome the irrationality of the professional hypothesis of the empirical model, to unfold development of fertilizer effect parameter identification technologies on the basis of the large volumes of "3414" experimental data, and eventually to realize microscopic guidance using fertilizer effect models and to provide theoretical modeling basis for development of a software system for fertilization recommendation.

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章明清,李 娟,孔庆波,严 芳.作物肥料效应函数模型研究进展与展望[J].土壤学报,2016,53(6):1343-1356. DOI:10.11766/trxb201605170103 ZHANG Mingqing, LI Juan, KONG Qingbo, YAN Fang. Progress and Prospect of the Study on Crop-response-to-Fertilization Function Model[J]. Acta Pedologica Sinica,2016,53(6):1343-1356.

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  • 收稿日期:2016-03-09
  • 最后修改日期:2016-07-25
  • 录用日期:2016-08-29
  • 在线发布日期: 2016-08-30
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