CN111767523A - Construction and application of summer corn soil phosphorus and potassium abundance-deficiency indicator matched with agricultural production on large scale - Google Patents
Construction and application of summer corn soil phosphorus and potassium abundance-deficiency indicator matched with agricultural production on large scale Download PDFInfo
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- CN111767523A CN111767523A CN202010627176.5A CN202010627176A CN111767523A CN 111767523 A CN111767523 A CN 111767523A CN 202010627176 A CN202010627176 A CN 202010627176A CN 111767523 A CN111767523 A CN 111767523A
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- 239000002689 soil Substances 0.000 title claims abstract description 77
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 title claims abstract description 73
- 239000011591 potassium Substances 0.000 title claims abstract description 73
- 229910052700 potassium Inorganic materials 0.000 title claims abstract description 73
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 title claims abstract description 70
- 239000011574 phosphorus Substances 0.000 title claims abstract description 70
- 229910052698 phosphorus Inorganic materials 0.000 title claims abstract description 70
- 240000008042 Zea mays Species 0.000 title claims abstract description 41
- 235000002017 Zea mays subsp mays Nutrition 0.000 title claims abstract description 41
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 title claims abstract description 32
- 235000005822 corn Nutrition 0.000 title claims abstract description 32
- 238000012271 agricultural production Methods 0.000 title claims abstract description 12
- 238000010276 construction Methods 0.000 title claims abstract description 6
- 238000000034 method Methods 0.000 claims abstract description 22
- 235000015097 nutrients Nutrition 0.000 claims abstract description 12
- 239000003337 fertilizer Substances 0.000 claims abstract description 8
- 230000004720 fertilization Effects 0.000 claims abstract description 5
- 238000000611 regression analysis Methods 0.000 claims abstract description 5
- 239000002686 phosphate fertilizer Substances 0.000 claims abstract description 4
- 230000007812 deficiency Effects 0.000 claims description 12
- 230000035558 fertility Effects 0.000 claims description 10
- 235000016383 Zea mays subsp huehuetenangensis Nutrition 0.000 claims description 9
- 235000009973 maize Nutrition 0.000 claims description 9
- 238000009406 nutrient management Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 4
- 230000007261 regionalization Effects 0.000 claims description 3
- 230000006735 deficit Effects 0.000 claims description 2
- 208000003643 Callosities Diseases 0.000 abstract description 7
- 206010020649 Hyperkeratosis Diseases 0.000 abstract description 7
- 230000002950 deficient Effects 0.000 abstract description 4
- KWYUFKZDYYNOTN-UHFFFAOYSA-M Potassium hydroxide Chemical compound [OH-].[K+] KWYUFKZDYYNOTN-UHFFFAOYSA-M 0.000 abstract 2
- 229940072033 potash Drugs 0.000 abstract 2
- 235000015320 potassium carbonate Nutrition 0.000 abstract 2
- BWHMMNNQKKPAPP-UHFFFAOYSA-L potassium carbonate Substances [K+].[K+].[O-]C([O-])=O BWHMMNNQKKPAPP-UHFFFAOYSA-L 0.000 abstract 2
- 230000004044 response Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- RDXARWSSOJYNLI-UHFFFAOYSA-N [P].[K] Chemical compound [P].[K] RDXARWSSOJYNLI-UHFFFAOYSA-N 0.000 description 2
- 238000010219 correlation analysis Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013213 extrapolation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a summer corn soil phosphorus and potassium abundance and shortage index construction method matched with agricultural production on a large scale, which is characterized in that a basic database is constructed on the basis of summer corn fertilization yield, non-applied phosphate fertilizer yield, non-applied potash fertilizer yield, soil available phosphorus content and soil available potassium content, a memory is used for storing the basic database, then relative yield intervals of summer corns are divided in the database, relative yield in corresponding interval ranges and corresponding soil available phosphorus and available potassium content are exhausted, a sub-database is formed, regression analysis is respectively carried out on the soil available phosphorus and available potassium content, the relative yield without applied phosphate fertilizer and the relative yield without applied potash fertilizer, characteristic values of soil available phosphorus and available potassium content which are determined to be deficient, low content, medium content, high content and extremely high content are determined, and a abundance and shortage index system is constructed. The method can establish reasonable and effective indexes of phosphorus and potassium nutrient abundance of summer corn farmland soil under the conditions of large area and large data.
Description
Technical Field
The invention relates to the technical field of agricultural production, in particular to an improved summer corn farmland soil phosphorus and potassium nutrient shortage and abundance index establishing method, which is used for farmland soil fertility evaluation, recommended fertilization and regional fertilization precise management.
Background
The traditional method for establishing soil phosphorus and potassium abundance and deficiency indexes is to perform correlation analysis on the effective phosphorus content and the quick-acting potassium content of soil and the relative yield of crops treated without applying phosphorus and potassium fertilizers (see attached figure 1), and requires the determination coefficient R of the soil2To a significant level. Usually at relative yields<65% as absent, 65-75% as low content level, 75-85% as medium content level, 85-95% as high content level,>95 percent is a very high content level, and the indexes of abundance and shortage of available phosphorus and quick-acting potassium in farmland soil are divided.
However, under the conditions of large scale, large difference of regional soil fertility and the like, the relative yield and the determination coefficient of the available phosphorus and potassium content of the soil cannot reach a significant level, and the method cannot be matched with the local agricultural production actually and cannot be used for guiding regional-level phosphorus and potassium nutrient management.
Disclosure of Invention
The invention aims to solve the technical problem of providing a summer corn soil phosphorus and potassium abundance/deficiency index construction method matched with agricultural production on a large scale.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A method for constructing the index of the abundance or deficiency of phosphorus and potassium in summer corn soil matched with agricultural production on a large scale includes such steps as constructing basic database based on the fertilizer application output, phosphate fertilizer output, potassium fertilizer output, available phosphorus content and available potassium content of soil, storing in memory, dividing the intervals between the relative outputs of summer corn without applying phosphorus and potassium, finding out the relative outputs and the available phosphorus and potassium contents of soil, generating sub-database, averaging the contents in different ranges by controller, regression analysis, and finding out the average values of the available phosphorus and potassium contents and the average values of the relative outputs of summer corn without applying phosphorus and potassium, and determining the abundance or deficiency of potassium and the average values of medium-content and high-content levels, And (3) constructing a 'very low, medium, high and very high' abundance and deficit index system by using the characteristic numerical values of the contents of the effective phosphorus and the quick-acting potassium in the soil with very high contents.
As a preferred technical scheme of the invention, the relative yield of the summer corns in a corresponding range and the corresponding contents of the soil available phosphorus and the soil available potassium are exhausted at intervals of 3-10 percent of the relative yield of the summer corns, and the average value of the relative yield of the summer corns and the contents of the corresponding soil available phosphorus and the soil available potassium is taken.
As a preferred technical scheme of the invention, the relative yield of the summer corns in a corresponding range and the corresponding contents of the available phosphorus and the available potassium in the soil are exhausted at intervals of 5 percent of the relative yield of the summer corns, and the average value of the relative yield of the summer corns and the contents of the available phosphorus and the available potassium in the soil is taken.
The invention also comprises a farmland regional soil fertility evaluation method, which is used for evaluating the farmland soil fertility based on the phosphorus and potassium nutrient abundance and deficiency indexes of summer corn soil.
The invention also comprises a farmland regionalization phosphorus-potassium nutrient management method, a phosphorus-potassium nutrient management method for farmland regionalization based on the phosphorus and potassium nutrient abundance and deficiency indexes of summer corn soil and fertilization guidance.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the method solves the problems that the existing method is extrapolated, can not be matched with the local agricultural production practice, can not be used for guiding regional level phosphorus and potassium nutrient management and the like, can establish reasonable and effective phosphorus and potassium nutrient abundance indexes of summer corn farmland soil under the conditions of large regions and large data, and meets the production practice.
Drawings
FIG. 1 is a graph of the relationship between the relative yield of summer corn and the content of available phosphorus and available potassium in soil, which is an index of abundance and shortage established by a traditional method.
FIG. 2 is a graph showing the relationship between the interval mean value of 5% relative yield of summer maize and the contents of available phosphorus and available potassium in soil, which is an index for the abundance.
Detailed Description
The following examples illustrate the invention in detail. The raw materials and various devices used in the invention are conventional commercially available products, and can be directly obtained by market purchase.
In the following description of embodiments, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Example 1
The traditional method for establishing the soil phosphorus and potassium abundance and deficiency indexes is to perform correlation analysis on the effective phosphorus content and the quick-acting potassium content of soil and the relative yield of crops treated without applying phosphorus and potassium fertilizers (figure 1), and requires that the determination coefficient R2 reaches a significant level. The indexes of abundance and insufficiency of available phosphorus and available potassium in farmland soil are generally divided with relative yield < 65% as deficiency, 65-75% as low content level, 75-85% as medium content level, 85-95% as high content level and > 95% as extremely high content level. However, in the case of large scale, large difference in regional soil fertility, etc., the coefficient of determination of the relative yield and the effective phosphorus and potassium content in soil is difficult to reach a significant level.
In the analysis result of 902 samples in the plain area of the central and south of Hebei province in the embodiment (see the attached figure 1), the function relationship of the effective phosphorus and potassium contents of soil and the relative yield of summer corn cannot obtain a satisfactory abundance index and a satisfactory deficiency index. The reasons for this may be related to the large relative area, the large difference in soil and climate type, and the difference in soil fertility causes the reaction between the phosphorus and potassium fertility content and the relative yield to change incompletely. The resulting fullness and loss indicators are typically extrapolated at the "low end" and "high end," as shown in table 1 in this example.
TABLE 1 soil available phosphorus and available potassium abundance index (data) for summer maize in plain area of Hebei province
Wherein the 'high' content level 19.2-70.8mg/kg and 'extremely high' content level '> 70.8mg/kg of the effective phosphorus content of the soil, and the' high 'content level' 73.4-310.2 'and' extremely high 'content level' >310.2mg/kg of the soil quick-acting potassium content grading have obvious data extrapolation, can not be matched with the local agricultural production actually and exceed the data application range.
Example 2
To solve the problems proposed in the embodiments, the data processing scheme adopted by the embodiment is as follows: respectively averaging the relative yield in the corresponding range and the content of the corresponding soil available phosphorus and the content of the corresponding soil available potassium by taking the relative yield of the summer corn of 5 percent as an interval; regression analysis was then performed on the averaged soil available phosphorus and available potassium content and the average of the relative summer corn yield as shown in figure 2. According to the obtained regression equation, a rich-lean index system is established according to the relative yield of < 65% as lean, 65-75% as low content level, 75-85% as medium content level, 85-95% as high content level and > 95% as extremely high content level. The contents of the established soil effective phosphorus abundance indexes of 'extremely low, medium, high and extremely high' are respectively <12.0mg/kg, 12.0-16.0, 16.0-22.0, 22.0-30 and >30mg/kg, and the contents of the soil quick-acting potassium are respectively <86, 86-100, 100-.
TABLE 2 soil available phosphorus and available potassium abundance index (relative yield equalization method) for summer maize in plain area of Hebei province
Samples with deficient soil available phosphorus and available potassium content accounted for 33.0% and 32.9% of the total sample volume, low phosphorus and low potassium samples accounted for 29.0% and 19.0% of the total sample volume, medium phosphorus and medium potassium samples accounted for 24.4% and 18.1% of the total sample volume, and high phosphorus and high potassium samples accounted for 13.6% and 30.0% of the total sample volume. In general, the high level of the soil available phosphorus accounts for 38.0 percent of the total sample number, the high level of the quick-acting potassium accounts for 48.1 percent of the total sample number, the proportions of the phosphorus-deficient samples and the potassium-deficient samples are close to 1/3, and the summer maize abundance and deficiency index established based on an improved relative yield method (relative yield averaging method) conforms to the fertility grading level of phosphorus and potassium in farmland soil in the plain area of Hebei province and is suitable for evaluating abundance and deficiency of phosphorus and potassium nutrients in summer maize soil in the plain area of Hebei province.
The hardware implementation of the invention can directly adopt the existing intelligent equipment, including but not limited to industrial personal computers, PC machines, smart phones, handheld single machines, floor type single machines and the like. The input device preferably adopts a screen keyboard, the data storage and calculation module adopts the existing memory, calculator and controller, the internal communication module adopts the existing communication port and protocol, and the remote communication adopts the existing gprs network, the web and the like.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (5)
1. The construction method of the summer corn soil phosphorus and potassium nutrient abundance and deficiency index matched with agricultural production on a large scale is characterized by comprising the following steps of: constructing a basic database based on the fertilization yield, the inapplicable phosphate fertilizer yield, the inapplicable potassium fertilizer yield, the soil available phosphorus content and the soil available potassium content of the summer corn in the region, storing the basic database in a memory, dividing the relative yield intervals of the summer corn without applying phosphorus and potassium in the database, carrying out regression analysis on the relative yield average values of the soil available phosphorus and the soil available potassium and the corresponding soil available phosphorus and the soil available potassium content in corresponding interval ranges to form a sub-database, further respectively averaging the content values in each range through a controller, taking the obtained average values as the basis, carrying out regression analysis on the soil available phosphorus and the soil available potassium content and the relative yield average values of the summer corn without applying phosphorus and potassium, determining the characteristic values of the lack, low content, medium content, high content, extremely high content soil available phosphorus and the soil available potassium content, and the extremely high content to carry out 'low, medium and medium content' fertilizer, Construction of high and extremely high' abundance-deficit-index systems.
2. The method for constructing the summer corn soil phosphorus and potassium nutrient shortage indicator matched with agricultural production on a large scale according to claim 1, wherein the method comprises the following steps: taking the relative yield of the summer maize as an interval of 3-10 percent, and taking the average value of the relative yield of the summer maize and the corresponding contents of the soil available phosphorus and the soil available potassium.
3. The method for constructing the summer corn soil phosphorus and potassium nutrient shortage indicator matched with agricultural production on a large scale according to claim 1, wherein the method comprises the following steps: taking the relative yield of the summer maize as an interval, taking the relative yield of the summer maize in a corresponding range and the corresponding contents of the soil available phosphorus and the soil available potassium, and taking the average value.
4. A farmland regional soil fertility evaluation method is characterized by comprising the following steps: performing farmland soil fertility evaluation based on the summer corn soil phosphorus and potassium nutrient abundance or deficit index of any one of claims 1 to 3.
5. A farmland regional phosphorus and potassium nutrient management method is characterized by comprising the following steps: the method for managing phosphorus and potassium nutrients and the instruction for fertilizing for farmland regionalization based on the indication of phosphorus and potassium nutrient abundance or insufficiency of summer corn soil as claimed in any one of claims 1 to 3.
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| CN202010627176.5A CN111767523A (en) | 2020-07-02 | 2020-07-02 | Construction and application of summer corn soil phosphorus and potassium abundance-deficiency indicator matched with agricultural production on large scale |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2009105059A (en) * | 2009-02-13 | 2010-08-20 | ФГОУ ВПО "Новочеркасская государственная мелиоративная академия" (НГМА) (RU) | METHOD FOR SOIL MONITORING |
| CN103116013A (en) * | 2013-02-04 | 2013-05-22 | 中国农业科学院棉花研究所 | Farmland test method of grading index of soil nutrient |
| CN109544047A (en) * | 2018-12-30 | 2019-03-29 | 云南瀚哲科技有限公司 | The method for building up of corn soil nutrient Plentiful-lack index system based on height above sea level subregion |
-
2020
- 2020-07-02 CN CN202010627176.5A patent/CN111767523A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2009105059A (en) * | 2009-02-13 | 2010-08-20 | ФГОУ ВПО "Новочеркасская государственная мелиоративная академия" (НГМА) (RU) | METHOD FOR SOIL MONITORING |
| CN103116013A (en) * | 2013-02-04 | 2013-05-22 | 中国农业科学院棉花研究所 | Farmland test method of grading index of soil nutrient |
| CN109544047A (en) * | 2018-12-30 | 2019-03-29 | 云南瀚哲科技有限公司 | The method for building up of corn soil nutrient Plentiful-lack index system based on height above sea level subregion |
Non-Patent Citations (1)
| Title |
|---|
| 邓婷婷: "《阳信县夏玉米土壤养分丰缺指标和施肥指标体系研究》", 《种业导刊》, pages 1 - 3 * |
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