CN114994250A - Optimal soil microelement content model of jasmine high-yield land parcel - Google Patents
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Abstract
The invention discloses an optimal soil trace element content model of a jasmine high-yield land parcel, and relates to the technical field of quantitative prediction of yield of horticultural crops. Determining the content of the soil trace elements of the jasmine in the land parcel in the full bloom stage, determining the yield grade of the land parcel, performing statistical analysis on the relation between the yield grade of the land parcel and the content of the soil trace elements, determining the content range of the soil trace elements of which the yield is a high-yield land parcel, and constructing a high-yield soil trace element content discrimination model, wherein the model is as follows: the effective boron content of the soil is 0.25-0.45mg.kg ‑1 The effective molybdenum content in the soil is 0.12-0.40mg.kg ‑1 The total selenium content of the soil is 0.50-1.00mg.kg ‑1 Three conditions are satisfied simultaneously. The invention determines the optimal soil microelement content range and the prediction model of the high-yield land parcel of the jasmine flower, and provides the optimal cultivation for the high yield of the jasmine flowerThe soil microelement content range regulation and control standard, and the application prospect is wide.
Description
Technical Field
The invention relates to the technical field of quantitative prediction of yield of horticultural crops, in particular to an optimal soil trace element content model of a jasmine high-yield plot.
Background
Jasmine is a vertical or climbing shrub of the genus Jasminum, belonging to the family Oleaceae, native to India, China, etc., also called "jasmine of China", and after introducing to China from West Han, jasmine is first planted in great quantities in Fuzhou. The flower, leaf and root of jasmine flower can be used as medicine, and has effects of relieving pain, relieving, calming, resisting bacteria, removing toxic substance, and relieving swelling. The jasmine flower is used as an auxiliary material and added into tea drinks or food, has the effects of regulating qi, resolving depression, clearing liver, improving eyesight, relieving summer heat, refreshing taste, moistening skin and the like, and is very popular with the public. Jasmine tea is a unique reprocessed tea in China, has the characteristics of long history, unique process, large output and sales, wide consumption range, deep culture base and the like, and has great economic benefit due to unique medicinal, edible and ornamental values of jasmine.
China is the world with the most jasmine flower, and the annual yield accounts for more than 80% of the world's total yield. At present, the main production places of jasmine in China are Guangxi horizontal state city, Sichuan castration county, Fujian Fuzhou city and Yunnan Yuanjiang county, wherein the jasmine in the horizontal state city has the cultivation history of more than one hundred years, the cultivation area of the horizontal state city in Guangxi is nearly 10 ten thousand mu after the development of decades, the yield of the jasmine accounts for 80 percent of the total yield in China, and the annual production value of the industrial chain of the jasmine is nearly 200 hundred million yuan; the Fujian Fuzhou city is a long-history jasmine flower producing area, and the Sichuan castration county and the Yunnan Yuanjiang county are emerging jasmine flower planting areas. The climate conditions of four main production areas of the Chinese jasmine are different, and the yield and the quality of the jasmine are different.
Due to the limitation of data and research methods, most of previous researches are scattered descriptive or semi-quantitative researches, and are not formedA technology for systematically and quantitatively predicting the yield of jasmine flowers. The existing research shows that: (1) the world high-yield production area of jasmine is located in low latitude areas, and the high-yield production area of jasmine in China is located in south China and Sichuan basins; (2) the main reason for high yield in the jasmine production place is long flowering time; (3) the weather conditions suitable for jasmine flower blooming are that the daily average temperature is more than 19.5 ℃, the monthly precipitation is more than 278mm, and the total solar radiation is more than 12 mj.m -2 ·day -1 . Meanwhile, a large number of investigation results of jasmine planting areas in the city of the Yangzhou show that: the yield of the jasmine in the plots is highly related to the following factors, namely the conditions of the plots for standing the plots, including the elevation of the plots, the pH of soil and the like; the content of major elements in the soil; ③ the content of trace elements in the soil; fourthly, the content of nutrient elements in each organ of the jasmine plant.
Boron and molybdenum are essential micronutrients for plants, and deficiency and excess of boron and molybdenum directly or indirectly affect flowering, fruiting, yield and quality of crops; selenium is a quality element, and selenium enrichment in soil is a necessary and insufficient condition for high-quality crops. The jasmine flower needs to be picked every day in the full-bloom period, the yield is greatly influenced by weather conditions, so that the yield prediction difficulty is high, and investigation shows that the jasmine flower yields in different soil fertility levels in the same region are different. The existing quantitative prediction technology for the yield of regional or plot horticultural crops is blank, and has no case of strict theory, practical technology and successful application, mainly because a quantitative prediction model based on big data is not established. Based on the above, it is particularly necessary to develop an optimal soil trace element content model of the high-yield jasmine plot.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an optimal soil trace element content model of a jasmine high-yield plot, determine an optimal range index of the soil trace element content, provide a soil trace element content range standard and a prediction tool for making and implementing a region and plot jasmine high-yield cultivation technology, and is easy to popularize and use.
In order to achieve the purpose, the invention is realized by the following technical scheme: an optimal soil microelement content model of a jasmine high-yield land parcel comprises:
(1) and (3) determining the content of trace elements in the land parcel jasmine soil in full bloom stage: through the determination of the content of the trace elements in the soil of the jasmine plots in the full bloom stage, the fertility indexes and data of the trace elements in the soil of plots with different yields are obtained and are used for quantitative analysis of the relationship between the yield per unit and the content of the trace elements in the soil;
(2) determining the per unit yield grade of the land parcel: dividing the single yield of the land parcel into three grades of high yield, medium yield and low yield by surveying the single yield of the jasmine;
(3) quantitative analysis: and (3) carrying out statistical analysis on the relation between the per unit yield grade of the plot and the content of the soil trace elements, determining the content range of the soil trace elements with the per unit yield of the high-yield plot, and constructing a high-yield soil trace element content discrimination model.
Preferably, the step (3) determines the soil trace element content range of the jasmine which reaches the medium yield and the high yield per unit, namely the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg -1 The total selenium content of the soil is 0.50-1.00mg -1 。
Preferably, the step (3) of constructing a distinguishing model of the content range of the trace elements in the soil for achieving medium yield and high yield is as follows: the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg -1 The total selenium content of the soil is 0.50-1.00mg -1 Three conditions are satisfied simultaneously.
The invention has the beneficial effects that: according to the invention, through quantitative research on the relation between the jasmine flower yield and the soil trace element content, the optimal soil trace element content range and the prediction model of the high-yield jasmine flower plot are determined, the soil trace element content range regulation and control standard for optimal cultivation is provided for high jasmine flower yield, and the application prospect is wide.
Drawings
The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram showing the relationship between the yield grade of jasmine sambac land in Guangzhou of example 1 and the effective boron content in soil;
FIG. 2 is a schematic diagram showing the relationship between the yield grade of jasmine sambac land in Guangzhou of example 1 and the effective molybdenum content in soil;
fig. 3 is a schematic diagram showing the relationship between the yield grade of the jasmine sambac land parcel in yozhou province and the total selenium content in soil in embodiment 1 of the invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1 to 3, the following technical solutions are adopted in the present embodiment: an optimal soil microelement content model of a jasmine high-yield land parcel comprises:
(1) and (3) determining the content of trace elements in the land parcel jasmine soil in full bloom stage: through the determination of the content of the trace elements in the soil of the jasmine plots in the full bloom stage, the fertility indexes and data of the trace elements in the soil of plots with different yields are obtained and are used for quantitative analysis of the relationship between the yield per unit and the content of the trace elements in the soil;
(2) determining the per unit yield grade of the land parcel: dividing the single yield of the land parcel into three grades of high yield, medium yield and low yield by surveying the single yield of the jasmine;
(3) quantitative analysis: and (3) carrying out statistical analysis on the relation between the per unit yield grade of the plot and the content of the soil trace elements, determining the content range of the soil trace elements with the per unit yield of the high-yield plot, and constructing a high-yield soil trace element content discrimination model.
The specific implementation mode determines the optimal soil trace element content range and model of the high-yield land parcel of the jasmine through quantitative research on the relation between the yield of the jasmine and the content of the soil trace elements, wherein the soil trace element content range of the jasmine which achieves medium yield and high yield per unit yield is as follows: the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg.kg -1 The total selenium content of the soil is 0.50-1.00mg -1 . The distinguishing model of the content range of the trace elements in the soil for achieving the medium yield and the high yield is as follows: the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg.kg -1 The total selenium content of the soil is 0.50-1.00mg.kg -1 Three conditions are satisfied simultaneously.
The specific implementation mode establishes a jasmine high-yield prediction model based on the content of the soil trace elements, provides the optimal soil trace element content range regulation and control standard for jasmine high yield, fully excavates the production potential of soil fertility, and has obvious technical advantages that the interpretation data is the scientific basis of production data:
(1) in the technical use, the content range of the trace elements in the medium-yield and high-yield soil can be provided for producers and managers, and the fertilization standard is provided for the fertilization regulation and control.
(2) In economic benefit, the content range of the soil trace elements is adjusted to the optimal range through soil improvement and fertilization, and a soil fertility foundation is provided for realizing medium-yield and high-yield
(3) In social benefit, fertilization is an important management measure for crop cultivation, and under the premise of defining the content range of trace elements in medium-yield and high-yield soil, conventional fertilization measures can be more targeted, for example, the content range of trace elements in soil is lower than the standard and is improved by fertilization, and the content range of trace elements in soil higher than the standard and is reduced by applying fertilizers with other elements having antagonistic action.
The specific implementation mode accurately determines the soil trace element content range influencing the jasmine yield through quantitative data analysis and analysis, provides specific regulation and control indexes and standards for field management decision making and measure implementation, determines the optimal range index of the soil trace element content at the same time, and provides technical basis for field fertilization regulation and control to realize high-yield cultivation.
Example 1: the optimal soil trace element content range and model of the high-yield land parcel of the jasmine are determined through quantitative research on the relationship between the yield of the jasmine in the Yangzhou city and the content of the soil trace elements. Jasmine plots in the city of transversum were selected as the study subjects because: (1) analyzing from agricultural geographic information characteristics: the Guangxi Nanning city belongs to the Guangxi Nanning city, is between 22 degrees 08 '-23 degrees 30' of north latitude and 108 degrees 48 '-109 degrees 37' of east longitude, is in the south of 23.5 degrees of north latitude, has rich heat resources and does not have severe cold in winter; the largest wetland Xijin reservoir in Sanzhou province in south China is 100km long and 1000 meters wide in the city of the horizontal state, a large amount of water and gas are supplied all the year round, the temperature in summer and winter is stabilized, the fact that jasmine flowers bloom 5-9 months per year is guaranteed, and flowers can be collected in the late 4-month ten days and the early 10-month ten days according to the temperature conditions; (2) from the terrain, jasmine flowers in the city of the Yangzhou are mainly distributed on two slices, namely an east slice and a west slice, and are basically surrounded by low hills, so that the south coming heat is blocked in summer, and the north coming cold flow is blocked in winter; (3) the soil in the jasmine flower distribution area in the horizontal city is mainly secondary red soil, the fertility is relatively high, and most of the soil is rich in selenium.
The specific implementation process is as follows: (1) and (3) determining the content of trace elements in the land parcel jasmine soil in full bloom stage: 101 high-yield, medium-yield and low-yield soil sampling points are arranged in 10-mu jasmine field in the horizontal city, and soil microelement nutrient fertility indexes and data of different-yield plots are obtained by sampling and measuring 0-20cm soil microelement content of jasmine plots in the full-bloom stage and are used for quantitative analysis of the relationship between the yield per unit and the soil microelement content, and the result is shown in table 1.
(2) Determining the per unit yield grade of the land parcel: the unit yield of jasmine flowers at 101 sampling points is investigated, and the unit yield of land parcels is divided into three grades of high yield, medium yield and low yield, and the results are shown in table 1.
(3) Quantitative analysis: and (3) carrying out statistical analysis on the relation between the per unit yield grade of the plot and the content of the soil trace elements, determining the content range of the soil trace elements with the per unit yield of the high-yield plot, and constructing a high-yield soil trace element content discrimination model.
TABLE 1 individual yield and soil microelement content of 101 jasmine plots in the horizontal State City
Taking the jasmine yield grade in the table 1 as a dependent variable (Y), taking three key soil trace element indexes of soil effective boron, soil effective molybdenum and soil total selenium in the table 1 as a dependent variable (X), respectively making scatter diagrams, wherein the graphs of the relations of the jasmine land yield grade and the soil effective boron content, the relations of the jasmine land yield grade and the soil effective molybdenum content and the relations of the jasmine land yield grade and the soil total selenium content are respectively shown in the figures 1, 2 and 3.
FIG. 1 illustrates that the effective boron content of the soil is 0.25-0.45mg.kg -1 Is a necessary and insufficient condition for high-yield plots, namely the high-yield plots are certainly 0.25-0.45mg.kg of soil effective boron -1 On the contrary, the effective boron of the soil is 0.25-0.45mg -1 The land mass of (a) is not necessarily a high yielding land mass; FIG. 2 illustrates that the effective molybdenum content in the soil is 0.12-0.40mg.kg -1 Is a necessary and insufficient condition for high-yield land parcels; FIG. 3 illustrates that the total selenium content of the soil is 0.50-1.00mg.kg -1 Is a necessary and insufficient condition for high-yield land.
According to the table 1 and the figures 1, 2 and 3, the content range of the trace elements of 0-20cm of three soils based on the jasmine high-yield plots is determined, namely the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg.kg -1 The total selenium content of the soil is 0.50-1.00mg -1 Establishing a high-yield land parcel distinguishing model which simultaneously meets three 0-20cm soil trace element content ranges for three necessary insufficient conditions.
Of the 101 sampling points, 15 sampling points satisfy three site conditions at the same time in a proportion of 14.85%, and 86 sampling points that cannot satisfy the three site conditions at the same time in a proportion of 85.15%. Further analysis showed that: 15 sampling points meeting the content range of the trace elements in the three soils are provided, wherein the number of the sampling points is 10, and the proportion of the high-yield plots is 66.67%; the content range of trace elements in single soil is satisfied, and the proportion of high-yield plots is averagely 22.00 percent.
The above results illustrate that: the three soil trace element content ranges are key soil trace element content indexes of the jasmine high-yield plot, and the proportion of the high-yield plot is reduced along with reduction of the satisfied conditions, so that the determined three soil trace element content range indexes are key soil trace element content indexes influencing the yield grade of the jasmine horizontal plot.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. An optimal soil trace element content model of a jasmine high-yield plot is characterized by comprising the following components:
(1) and (3) determining the content of trace elements in the land parcel jasmine soil in full bloom stage: through the determination of the content of the trace elements in the soil of the jasmine plots in the full bloom stage, the fertility indexes and data of the trace elements in the soil of plots with different yields are obtained and are used for quantitative analysis of the relationship between the yield per unit and the content of the trace elements in the soil;
(2) determining the yield per unit of the land parcel: dividing the single yield of the land parcel into three grades of high yield, medium yield and low yield by surveying the single yield of the jasmine;
(3) quantitative analysis: statistical analysis is carried out on the relation between the per unit yield grade of the land parcel and the content of the soil trace elements, and the content range of the soil trace elements with the per unit yield of the high-yield land parcel is determined, namely the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg.kg -1 The total selenium content of the soil is 0.50-1.00mg.kg -1 (ii) a Constructing a high-yield soil microelement content distinguishing model which comprises the following steps: the effective boron content of the soil is 0.25-0.45mg.kg -1 The effective molybdenum content in the soil is 0.12-0.40mg -1 The total selenium content of the soil is 0.50-1.00mg.kg -1 Three conditions are satisfied simultaneously.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105191630A (en) * | 2015-09-24 | 2015-12-30 | 广西百润源农业有限公司 | High-yield planting method for pollution-free jasminum sambac |
| CN106278539A (en) * | 2016-07-25 | 2017-01-04 | 左邦庆 | Nutrition fertilizer for jasmine |
| 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 |
| CN111929407A (en) * | 2020-07-09 | 2020-11-13 | 中国农业科学院茶叶研究所 | Prediction model of tea selenium content and construction method and application thereof |
| CN112734119A (en) * | 2021-01-14 | 2021-04-30 | 绥化学院 | Corn yield prediction method based on spatial nutrient cluster analysis |
| CN113159446A (en) * | 2021-05-11 | 2021-07-23 | 南京农业大学 | Neural network-based soil nutrient and fruit quality relation prediction method |
| CN113420294A (en) * | 2021-06-25 | 2021-09-21 | 杭州电子科技大学 | Malicious code detection method based on multi-scale convolutional neural network |
-
2022
- 2022-05-30 CN CN202210598058.5A patent/CN114994250B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105191630A (en) * | 2015-09-24 | 2015-12-30 | 广西百润源农业有限公司 | High-yield planting method for pollution-free jasminum sambac |
| CN106278539A (en) * | 2016-07-25 | 2017-01-04 | 左邦庆 | Nutrition fertilizer for jasmine |
| 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 |
| CN111929407A (en) * | 2020-07-09 | 2020-11-13 | 中国农业科学院茶叶研究所 | Prediction model of tea selenium content and construction method and application thereof |
| CN112734119A (en) * | 2021-01-14 | 2021-04-30 | 绥化学院 | Corn yield prediction method based on spatial nutrient cluster analysis |
| CN113159446A (en) * | 2021-05-11 | 2021-07-23 | 南京农业大学 | Neural network-based soil nutrient and fruit quality relation prediction method |
| CN113420294A (en) * | 2021-06-25 | 2021-09-21 | 杭州电子科技大学 | Malicious code detection method based on multi-scale convolutional neural network |
Non-Patent Citations (1)
| Title |
|---|
| 谢育利等: "复合肥配施水溶肥对茉莉花产量和品质的影响", 《江西农业学报》 * |
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