CN114626760A - Nursery stock survival rate evaluation method for barren soil planting area and application - Google Patents
Nursery stock survival rate evaluation method for barren soil planting area and application Download PDFInfo
- Publication number
- CN114626760A CN114626760A CN202210411340.8A CN202210411340A CN114626760A CN 114626760 A CN114626760 A CN 114626760A CN 202210411340 A CN202210411340 A CN 202210411340A CN 114626760 A CN114626760 A CN 114626760A
- Authority
- CN
- China
- Prior art keywords
- survival rate
- soil
- test cell
- formula
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000004083 survival effect Effects 0.000 title claims abstract description 66
- 239000002689 soil Substances 0.000 title claims abstract description 60
- 238000011156 evaluation Methods 0.000 title claims abstract description 39
- 238000004088 simulation Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000007613 environmental effect Effects 0.000 claims description 21
- 238000005286 illumination Methods 0.000 claims description 10
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- 238000005507 spraying Methods 0.000 claims description 4
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 229910052698 phosphorus Inorganic materials 0.000 claims description 3
- 239000011574 phosphorus Substances 0.000 claims description 3
- 239000011591 potassium Substances 0.000 claims description 3
- 229910052700 potassium Inorganic materials 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000005574 cross-species transmission Effects 0.000 description 1
- 235000021049 nutrient content Nutrition 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
Images
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/14—Greenhouses
- A01G9/16—Dismountable or portable greenhouses ; Greenhouses with sliding roofs
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Environmental Sciences (AREA)
- Cultivation Of Plants (AREA)
Abstract
The invention discloses a nursery stock survival rate evaluation method and application in a barren soil planting area, which comprises the following steps: s1, carrying out a simulation test through a simulation test cell: setting a simulation test cell according to the topographic characteristics of the to-be-planted area, planting nursery stocks in the test cell, and performing a plurality of groups of comparison simulation tests; s2, fitting a formula: fitting a survival rate evaluation formula according to the test data in the step S1; s3, determining coefficients in a formula: determining coefficients in the survival rate evaluation formula in step S2 with the actual survival rate of the test cell in step S1; s4, evaluation: and collecting soil property parameter information of the planting planned area, and evaluating the survival rate of the nursery stock according to a survival rate evaluation formula after the coefficient is determined in the step S3. The method can quickly evaluate the survival rate of the seedlings in the barren soil planting area at low cost, provides a guidance scheme for improving the soil quality of the intended planting area, and provides an effective evaluation method for detecting the natural ecological environment.
Description
Technical Field
The invention relates to the technical field of ecological environment detection, in particular to a nursery stock survival rate evaluation method and application in a barren soil planting area.
Background
In the ecological environment, a plurality of areas with barren soil exist, such as mountainous regions with more sand and stones, deserts with low nutrient content, arid areas and the like, the yield value of grain crops planted in the areas with barren soil is low, and the economic value is low; the nursery stock cultivated in the excellent cultivated land can influence the national food safety guarantee to a certain extent, so that the nursery stock is planted in a non-field area to be more beneficial to the comprehensive utilization of the land.
At present, the survival rate of the planted nursery stocks is mostly based on the aspects of planting technology, transplanting technology and the like, and a survival rate evaluation method aiming at soil environment factors is not established; if the evaluation is not performed in advance, the risk of trial and error is high, and the soil property cannot be improved in a targeted manner in an area with a low survival rate.
Disclosure of Invention
The invention aims to provide a nursery stock survival rate evaluation method of a barren soil planting area and application thereof, which can quickly evaluate the nursery stock survival rate of the barren soil planting area at low cost, provide a guidance scheme for improving the soil quality of a planned planting area, and provide an effective evaluation method and a scheme for pertinently improving the survival rate for detecting the natural ecological environment.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a nursery stock survival rate evaluation method for a barren soil planting area comprises the following steps:
s1, carrying out a simulation test through a simulation test cell: setting a simulation test cell according to the topographic characteristics of the to-be-planted area, and planting nursery stocks in the test cell; adjusting one environmental parameter of the simulation test cell each time, performing a plurality of groups of comparison simulation tests and counting the survival rate of the nursery stock; in the test process, various seedling varieties are tested one by one;
s2, fitting a formula: fitting a survival rate evaluation formula according to the test data in the step S1;
s3, determining coefficients in a formula: determining coefficients in the survival rate evaluation formula in step S2 with the actual survival rate of the test cell in step S1;
s4, evaluation: and collecting soil property parameter information of the area to be planted, and evaluating the survival rate of the seedlings in the area to be planted according to a survival rate evaluation formula after the coefficient is determined in the step S3.
As a preferred embodiment of the present invention, the environmental parameters for adjusting the simulation test cell in step S1 include: the method comprises the following steps of N content of nitrogen in soil, P content of phosphorus in soil, K content of potassium in soil, soil humidity w, ratio s of soil mass to total mass of soil and sandstone, average particle size r of sandstone in soil, accumulated temperature value T, daily illumination integral L and wind speed v.
As a preferred technical scheme of the invention, the survival rate evaluation formula is
Function in formula
RT is survival rate, xaIs an environmental parameter with a survival rate of 100%, xnIs an environmental parameter, x, of a comparative simulation testn≥0，α、β、χ、δ、ε、
Gamma, eta and lambda are coefficients, and the sum of the coefficients is less than or equal to 1.
As a preferred technical scheme of the invention, the simulation test cell comprises a base and a cover body buckled on the base, wherein the terrain in the base is manufactured by reducing the terrain in the same proportion according to the terrain characteristics of a to-be-planted area; the cover body is internally provided with an illumination device capable of adjusting illumination intensity, a temperature control device capable of adjusting temperature, a spraying device capable of adjusting rainfall and an air duct capable of controlling air speed; the bottom of the base is provided with a leak hole, and an inlet at the top of the leak hole is provided with a filter screen.
As a preferred technical scheme of the invention, the upper surface of the base is recessed downwards to form a groove, and the groove is filled with soil and arranged with terrains; the top of the cover body is provided with a hanging ring.
An application of a nursery stock survival rate evaluation method in a barren soil planting area determines a feasibility scheme for improving soil quality through a coefficient value in a survival rate evaluation formula. If the coefficient value is larger, the corresponding environmental parameter change has larger influence on the survival rate, so as to determine the priority of improving the environmental parameter.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the invention and the main nutrition parameters of the soil texture and various environmental parameters fit the calculation formula of the nursery stock survival rate evaluation method, can quickly evaluate the nursery stock survival rate of the barren soil texture planting area at low cost, provides a guidance scheme for improving the soil texture of the planned planting area, and provides an effective evaluation method and a scheme for pertinently improving the survival rate for the detection of the natural ecological environment.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Figure 1 is a cross-sectional view of a simulation test cell of the present invention.
In the figure: 1. the base 2, the cover body 3, the illumination device 4, the temperature control device 5, the spraying device 6, the air duct 7, the leak holes 8, the filter screen 9 and the nursery stocks.
Detailed Description
The method for evaluating the survival rate of the seedlings in the barren soil planting area comprises the following steps:
s1, carrying out a simulation test through a simulation test cell: setting a simulation test cell according to the topographic features of the area to be planted, and planting nursery stocks in the test cell; adjusting one environmental parameter of the simulation test cell each time, performing a plurality of groups of comparison simulation tests and counting the survival rate of the nursery stock; in the test process, various seedling varieties are tested one by one;
s2, fitting a formula: fitting a survival rate evaluation formula according to the test data in the step S1;
s3, determining coefficients in a formula: determining coefficients in the survival rate evaluation formula in step S2 with the actual survival rate of the test cell in step S1;
s4, evaluation: and collecting soil property parameter information of the area to be planted, and evaluating the survival rate of the seedlings in the area to be planted according to a survival rate evaluation formula after the coefficient is determined in the step S3.
The environmental parameters for simulating the adjustment of the test cell in step S1 include: the method comprises the following steps of N content of nitrogen in soil, P content of phosphorus in soil, K content of potassium in soil, soil humidity w, a ratio s of soil mass to total mass of soil and sandstone, an average particle size r of sandstone in soil, a temperature accumulation value T, a daily illumination integral L and a wind speed v.
The survival rate evaluation formula in the step S2 is
Function in formula
RT is survival rate, xaIs an environmental parameter with a survival rate of 100 percent, and the environmental parameter which conforms to the survival rate of 100 percent is a numerical range, so x in the survival rate evaluation formulaaSelecting the average value of the maximum value and the minimum value of the environmental parameter with the survival rate of 100 percent, xnIs an environmental parameter, x, of a comparative simulation testnNot less than 0, and xnLess than the minimum value of the environmental parameters meeting the survival rate of 100 percent or more than the maximum value of the environmental parameters meeting the survival rate of 100 percent, alpha, beta, chi, delta, epsilon,
Gamma, eta and lambda are coefficients, and the sum of the coefficients is less than or equal to 1.
The simulation test cell comprises a base 1 and a cover body 2 buckled on the base 1, and the terrain in the base 1 is manufactured by reducing the terrain according to the terrain characteristics of a to-be-planted area in the same proportion; an illumination device 3 capable of adjusting illumination intensity, a temperature control device 4 capable of adjusting temperature, a spraying device 5 capable of adjusting rainfall and an air duct 6 capable of controlling air speed are arranged in the cover body 2; the bottom of the base 1 is provided with a leak hole 7, and a filter screen 8 is arranged at the inlet of the top of the leak hole 7.
The upper surface of the base 1 is sunken downwards to form a groove, and the groove is filled with soil and is provided with terrains; the border of recess is convenient for seal soil, avoids soil to spill over and influences the cover body to the closure of base, and the cover body 2 top sets up rings 9. The hanging ring 9 is convenient for hoisting the cover body 9 when changing soil or nursery stock.
An application of a nursery stock survival rate evaluation method in a barren soil planting area determines a feasibility scheme for improving soil quality through a coefficient value in a survival rate evaluation formula. If the coefficient value is larger, the corresponding environmental parameter change has larger influence on the survival rate, so as to determine the priority of improving the environmental parameter.
The above description is only presented as an enabling solution for the present invention and should not be taken as a sole limitation on the solution itself.
Claims (6)
1. A nursery stock survival rate evaluation method for a barren soil planting area is characterized by comprising the following steps:
s1, carrying out a simulation test through a simulation test cell: setting a simulation test cell according to the topographic characteristics of the to-be-planted area, and planting nursery stocks in the test cell; adjusting one environmental parameter of the simulation test cell each time, performing a plurality of groups of comparison simulation tests and counting the survival rate of the nursery stock;
in the test process, various seedling varieties are tested one by one;
s2, fitting a formula: fitting a survival rate evaluation formula according to the test data in the step S1;
s3, determining coefficients in a formula: determining coefficients in the survival rate evaluation formula in step S2 with the actual survival rate of the test cell in step S1;
s4, evaluation: and collecting soil property parameter information of the area to be planted, and evaluating the survival rate of the seedlings in the area to be planted according to a survival rate evaluation formula after the coefficient is determined in the step S3.
2. The method of assessing the survival rate of seedlings in the barren soil planting area of claim 1, wherein: the environmental parameters for simulating the adjustment of the test cell in step S1 include: the method comprises the following steps of N content of nitrogen in soil, P content of phosphorus in soil, K content of potassium in soil, soil humidity w, a ratio s of soil mass to total mass of soil and sandstone, an average particle size r of sandstone in soil, a temperature accumulation value T, a daily illumination integral L and a wind speed v.
3. The method of assessing the survival rate of seedlings in the barren soil planting area of claim 2, wherein: the survival rate evaluation formula is
Function in formula
RT is survival rate, xaIs an environmental parameter with a survival rate of 100%, xnIs an environmental parameter, x, of a comparative simulation testn≥0，α、β、χ、δ、ε、
Gamma, eta and lambda are coefficients, and the sum of the coefficients is less than or equal to 1.
4. The method of assessing the survival rate of seedlings in the barren soil planting area of claim 1, wherein: the simulation test cell comprises a base and a cover body buckled on the base, and the terrain in the base is manufactured by reducing the terrain according to the terrain characteristics of the area to be planted in the same proportion; the cover body is internally provided with an illumination device capable of adjusting illumination intensity, a temperature control device capable of adjusting temperature, a spraying device capable of adjusting rainfall and an air duct capable of controlling air speed; the bottom of the base is provided with a leak hole, and an inlet at the top of the leak hole is provided with a filter screen.
5. The method of assessing the survival rate of seedlings in the barren soil planting area as claimed in claim 4, wherein: the upper surface of the base is downwards sunken to form a groove, and soil is filled in the groove and landforms are arranged in the groove; the top of the cover body is provided with a hanging ring.
6. The application of the nursery stock survival rate evaluation method in the barren soil planting area is characterized in that a feasibility scheme for improving soil quality is determined through a coefficient value in a survival rate evaluation formula.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210411340.8A CN114626760A (en) | 2022-04-19 | 2022-04-19 | Nursery stock survival rate evaluation method for barren soil planting area and application |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210411340.8A CN114626760A (en) | 2022-04-19 | 2022-04-19 | Nursery stock survival rate evaluation method for barren soil planting area and application |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114626760A true CN114626760A (en) | 2022-06-14 |
Family
ID=81906697
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210411340.8A Pending CN114626760A (en) | 2022-04-19 | 2022-04-19 | Nursery stock survival rate evaluation method for barren soil planting area and application |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114626760A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2086109C1 (en) * | 1993-12-10 | 1997-08-10 | Санкт-Петербургский государственный аграрный университет | Method for evaluating state of habitat |
| US20180181893A1 (en) * | 2015-05-14 | 2018-06-28 | Board Of Trustees Of Michigan State University | Methods and systems for crop land evaluation and crop growth management |
| CN108614092A (en) * | 2018-06-28 | 2018-10-02 | 上海新园林实业有限公司 | A kind of experimental rig and method in simulation salt-soda soil |
| CN111435260A (en) * | 2019-01-14 | 2020-07-21 | 胡欣然 | Plant growth environment parameter monitoring and environment simulation system |
| CN112084926A (en) * | 2020-09-03 | 2020-12-15 | 常德鑫芙蓉环保有限公司 | Screening method for ecological restoration plants of abandoned mine |
| CN112258331A (en) * | 2020-10-26 | 2021-01-22 | 安庆中春自动化技术有限公司 | Crop planting growth and environment intelligent monitoring analysis system based on big data |
| CN113139745A (en) * | 2021-05-13 | 2021-07-20 | 生态环境部南京环境科学研究所 | Ecological damage influence assessment method |
-
2022
- 2022-04-19 CN CN202210411340.8A patent/CN114626760A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2086109C1 (en) * | 1993-12-10 | 1997-08-10 | Санкт-Петербургский государственный аграрный университет | Method for evaluating state of habitat |
| US20180181893A1 (en) * | 2015-05-14 | 2018-06-28 | Board Of Trustees Of Michigan State University | Methods and systems for crop land evaluation and crop growth management |
| CN108614092A (en) * | 2018-06-28 | 2018-10-02 | 上海新园林实业有限公司 | A kind of experimental rig and method in simulation salt-soda soil |
| CN111435260A (en) * | 2019-01-14 | 2020-07-21 | 胡欣然 | Plant growth environment parameter monitoring and environment simulation system |
| CN112084926A (en) * | 2020-09-03 | 2020-12-15 | 常德鑫芙蓉环保有限公司 | Screening method for ecological restoration plants of abandoned mine |
| CN112258331A (en) * | 2020-10-26 | 2021-01-22 | 安庆中春自动化技术有限公司 | Crop planting growth and environment intelligent monitoring analysis system based on big data |
| CN113139745A (en) * | 2021-05-13 | 2021-07-20 | 生态环境部南京环境科学研究所 | Ecological damage influence assessment method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Perkins et al. | Increased seminal root number associated with domestication improves nitrogen and phosphorus acquisition in maize seedlings | |
| Alberto et al. | Carbon uptake and water productivity for dry-seeded rice and hybrid maize grown with overhead sprinkler irrigation | |
| Jiang et al. | Planting density affected biomass and grain yield of maize for seed production in an arid region of Northwest China | |
| CN104782478B (en) | Method for quickly and efficiently identifying high and stable-yield eurytopic new corn variety | |
| CN112273087A (en) | Method for identifying saline-alkali resistance of soybeans | |
| Akinbile | Crop water requirements, biomass and grain yields estimation for upland rice using CROPWAT, AQUACROP and CERES simulation models | |
| CN113656958A (en) | Shade-tolerant soybean germplasm screening and identifying method | |
| Valenzuela et al. | Plant responses to heterogeneous salinity: agronomic relevance and research priorities | |
| Fu et al. | Simulation of climate change impacts on grain sorghum production grown under free air CO2 enrichment | |
| Ogban et al. | Characteristics, classification and management of inland valley bottom soils for crop production in subhumid southwestern Nigeria | |
| CN116941400A (en) | Fertilization control system based on thing networking | |
| CN114626760A (en) | Nursery stock survival rate evaluation method for barren soil planting area and application | |
| CN113229076A (en) | Wheat breeding method for screening excellent salt-tolerant strains by using salt pond | |
| CN113095629A (en) | Evaluation method for suitability of high-quality rice planting region and application thereof | |
| Quan et al. | Future climate change impacts on mulched maize production in an arid irrigation area | |
| CN111241487A (en) | Nitrogen diagnosis variable topdressing method based on population phenotypic characteristics | |
| Isayev et al. | Modelling effects of irrigation with collector-drainage water on second crop productivity in sample of mung beans | |
| CN103283349B (en) | A kind of disc type drilling method for culturing seedlings | |
| Jezdinský et al. | Effect of drought stress and Glomus inoculation on selected physiological processes of sweet pepper (Capsicum annuum L. cv ‘Slavy’) | |
| Read | The importance of comparative growth rates in determining the canopy composition of Tasmanian rainforest | |
| Fraisse et al. | Evaluation of Crop Models to Simulate Site‐Specific Crop Development and Yield | |
| Kim et al. | Geospatial delineation of South Korea for adjusted barley cultivation under changing climate | |
| CN114118761A (en) | Comprehensive evaluation method for waterlogging tolerance of canna | |
| Selim et al. | Morphological diversity of Dorystoechas hastata, a relict endemic species, across habitat variability | |
| CN110786113A (en) | Fertilizing method for planting flue-cured tobacco K326 in high-fertility soil |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |