Yield-based soil fertility prediction method for constructing geographic minimum data set

A soil fertility and prediction method technology, applied in prediction, data processing applications, instruments, etc., can solve the problems of immature soil fertility evaluation of Camellia oleifera, neglecting the role of trace elements, etc. Effect

Pending Publication Date: 2018-09-21
ZHEJIANG FORESTRY ACAD
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  • Description
  • Claims
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Problems solved by technology

However, at the present stage, fertilization of camellia oleifera has problems such as ignoring the differences in the fertility requirements of camellia oleifera site conditions, ignoring the role of trace elements, and immature evaluation of camellia oleifera soil fertility. It is urgent to establish a soil fertility evaluation system suitable for camellia oleifera
At present, there are no relevant reports on the construction of the minimum data set for Camellia oleifera soil fertility.

Method used

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  • Yield-based soil fertility prediction method for constructing geographic minimum data set
  • Yield-based soil fertility prediction method for constructing geographic minimum data set
  • Yield-based soil fertility prediction method for constructing geographic minimum data set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Camellia oleifera soil samples were taken within the scope of Zhejiang Province. According to the average yield of the sample plot and the county where the sample plot is located, the oil production in the sample plot is greater than 150kg ha -1 , 75-150kg·ha -1 , less than 75kg·ha -1 Three levels to divide the soil measurement results.

[0047] When sampling, the sample plot is divided into upper, middle and lower slopes. The S-shaped sampling method is used to collect 0-40cm layer of soil, among which 15-20 sample points are randomly selected for each slope, and the sample weight of each sample point is not less than 100g. After fully mixing the samples of each slope, take 1kg by quartering method, put them into plastic bags, number them, register the sample information, take them back to the laboratory to air-dry, and test the contents of various fertility indicators. The specific division results of the test and the content of soil fertility indicators in each cou...

Embodiment 2

[0072] The minimum data set fertility index construction:

[0073] The index content measured in Table 1, Table 2 and Table 3 of Example 1 utilizes SPSS software to carry out principal component analysis, and the results are as shown in Table 6;

[0074] Table 6 Eigenvalues ​​and contribution rates of principal components of each factor

[0075]

[0076]

[0077] According to Table 6, according to the principle that the characteristic value is greater than 1 and the cumulative contribution rate is greater than 70%, 5 principal components are extracted; according to the calculation formula of the principal components, the results of principal component analysis are shown in Table 7;

[0078] Table 7 Rotation component matrix

[0079]

[0080] It can be seen from Table 7 that the main factors determining the size of the main component 1 are exchangeable calcium, magnesium, potassium and pH, which can be classified as exchangeable nutrients. The main components that de...

Embodiment 3

[0094] The establishment of the minimum data set fertility index:

[0095] The standardization of soil fertility indicators is an important part of soil quality evaluation. The relationship between soil total nitrogen, available phosphorus, exchangeable calcium and magnesium, available copper and available iron and crop growth is a parabolic curve, that is, the indicators have an optimal value for crop growth and development. The growth range, the corresponding curve can be converted into a broken line function by determining the critical value, as described in Chinese literature: Soil Quality Index and Evaluation (Xu Jianming, Zhang Ganlin, Xie Zhengmiao, etc., Science Press, 2010). The present invention draws up critical value according to document: the data of Zhejiang forestry soil (Ye Zhongjie, Chai Xizhou, Zhejiang Science and Technology Press, 1986) and this research data, critical value result is as shown in table 9;

[0096] Table 9 Critical value of Camellia oleifera...

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Abstract

The invention belongs to the technical field of soil detection, and particularly relates to a yield-based soil fertility prediction method for constructing a geographic minimum data set. The method comprises the following steps of (1) collecting a soil sample; (2) detecting fertility index content of the sample; (3) performing analytic calculation of an Nemero single fertility index and a comprehensive fertility index for the detected index content in the step (2); (4) performing principal component analysis on the detected index content in the step (2) by utilizing data processing software SPSS, selecting high-factor load indexes in the principal component analysis, and entering the minimum data set; (5) performing standardization calculation on the data set in the step (4); and (6) for the standardized minimum data set in the step (5), calculating minimum data set fertility indexes. Based on an analysis result of the correlation between the minimum data set fertility indexes and theyield, the fertility indexes can predict the soil fertility; and the soil fertility prediction method can perform unified evaluation for the soil fertility of Camellia oleifera Abel. with relatively large spatial difference, and is wide in application range.

Description

technical field [0001] The invention belongs to the technical field of soil detection, and in particular relates to a method for predicting soil fertility by constructing a geographic minimum data set based on yield. Background technique [0002] Camellia oleifera (Camellia oleifera Abel.), Camellia oleifera is an evergreen small tree, and its seed oil is rich in unsaturated fatty acids such as oleic acid and linoleic acid. It is an important woody edible oil tree species in the south. Zhejiang Province currently has 200,000 hectares of camellia oleifera forests, ranking fourth in the country, of which 70% are distributed in Lishui and Quzhou areas, which is an important resource advantage and potential for farmers in mountainous areas to increase their income and become rich. At present, more than 60% of Camellia oleifera forests in Zhejiang Province are old Camellia oleifera forests with extensive management, low yield and low efficiency. Such forests have bad phenomena su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02
Inventor 韩素芳刘亚群程诗明张飞英徐梁宋其岩
Owner ZHEJIANG FORESTRY ACAD
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