CN115839937B - Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology - Google Patents
Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology Download PDFInfo
- Publication number
- CN115839937B CN115839937B CN202211642900.7A CN202211642900A CN115839937B CN 115839937 B CN115839937 B CN 115839937B CN 202211642900 A CN202211642900 A CN 202211642900A CN 115839937 B CN115839937 B CN 115839937B
- Authority
- CN
- China
- Prior art keywords
- leaves
- taxus
- stress
- branches
- taxus chinensis
- 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.)
- Active
Links
- 241001149649 Taxus wallichiana var. chinensis Species 0.000 title claims abstract description 49
- 229930002875 chlorophyll Natural products 0.000 title claims abstract description 30
- 235000019804 chlorophyll Nutrition 0.000 title claims abstract description 30
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 title claims abstract description 30
- 238000000799 fluorescence microscopy Methods 0.000 title claims abstract description 19
- 238000005516 engineering process Methods 0.000 title claims abstract description 13
- 238000001514 detection method Methods 0.000 title abstract description 13
- 241001116500 Taxus Species 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 11
- 241000196324 Embryophyta Species 0.000 claims description 19
- 239000000463 material Substances 0.000 claims description 8
- 238000007789 sealing Methods 0.000 claims description 6
- 238000006862 quantum yield reaction Methods 0.000 claims description 4
- 238000004321 preservation Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 238000003384 imaging method Methods 0.000 abstract description 5
- 238000012216 screening Methods 0.000 abstract description 4
- 238000009395 breeding Methods 0.000 abstract description 2
- 230000001488 breeding effect Effects 0.000 abstract description 2
- 230000036541 health Effects 0.000 abstract description 2
- 230000002068 genetic effect Effects 0.000 abstract 1
- 230000035882 stress Effects 0.000 description 38
- 241001674343 Taxus x media Species 0.000 description 7
- 230000008859 change Effects 0.000 description 7
- 230000000694 effects Effects 0.000 description 7
- 238000005259 measurement Methods 0.000 description 5
- 230000019516 nonphotochemical quenching Effects 0.000 description 3
- 241001116495 Taxaceae Species 0.000 description 2
- 241000508252 Taxus mairei Species 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000006353 environmental stress Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010672 photosynthesis Methods 0.000 description 2
- 230000029553 photosynthesis Effects 0.000 description 2
- 230000000243 photosynthetic effect Effects 0.000 description 2
- 238000010791 quenching Methods 0.000 description 2
- 230000000171 quenching effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 206010006187 Breast cancer Diseases 0.000 description 1
- 208000026310 Breast neoplasm Diseases 0.000 description 1
- 241000218631 Coniferophyta Species 0.000 description 1
- 241000238631 Hexapoda Species 0.000 description 1
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 1
- 206010033128 Ovarian cancer Diseases 0.000 description 1
- 206010061535 Ovarian neoplasm Diseases 0.000 description 1
- 229930012538 Paclitaxel Natural products 0.000 description 1
- 206010052428 Wound Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000036579 abiotic stress Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000002246 antineoplastic agent Substances 0.000 description 1
- 229940041181 antineoplastic drug Drugs 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000004790 biotic stress Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 150000004141 diterpene derivatives Chemical class 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000012632 fluorescent imaging Methods 0.000 description 1
- 201000005202 lung cancer Diseases 0.000 description 1
- 208000020816 lung neoplasm Diseases 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- -1 moisture Species 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 229960001592 paclitaxel Drugs 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- RCINICONZNJXQF-MZXODVADSA-N taxol Chemical compound O([C@@H]1[C@@]2(C[C@@H](C(C)=C(C2(C)C)[C@H](C([C@]2(C)[C@@H](O)C[C@H]3OC[C@]3([C@H]21)OC(C)=O)=O)OC(=O)C)OC(=O)[C@H](O)[C@@H](NC(=O)C=1C=CC=CC=1)C=1C=CC=CC=1)O)C(=O)C1=CC=CC=C1 RCINICONZNJXQF-MZXODVADSA-N 0.000 description 1
Landscapes
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
- Investigating Or Analysing Materials By The Use Of Chemical Reactions (AREA)
Abstract
The invention discloses a taxus stress detection method based on chlorophyll fluorescence imaging technology, which mainly comprises collection and pretreatment of taxus branches with leaves, determination of chlorophyll fluorescence parameters Fv/Fm value, corresponding RGB image collection, application of stress classification standards and the like. Because of obvious difference of chlorophyll fluorescence dynamics of different taxus chinensis germplasm needle leaves under different climatic environments throughout the year, the health degree or stress state of the taxus chinensis can be identified by screening specific parameters and analyzing imaging characteristics. The method has little influence on the growth and quality traits of the taxus chinensis, and has the advantages of simple operation, good result repeatability and high identification efficiency; and has wide application prospect in the fields of taxus resource protection and utilization, environmental tolerance type taxus variety breeding, mutant strain screening and the like, and provides a technical basis for genetic improvement of taxus.
Description
Technical Field
The invention relates to a plant early stress diagnosis technology, in particular to a taxus chinensis stress detection method based on a chlorophyll fluorescence imaging technology.
Background
The Taxus chinensis is evergreen needle leaf shrub or arbor of Taxaceae (Taxaceae), is a national class I wild rare endangered protection plant, has great material, ornamental and medicinal value, especially the special diterpenoid taxol in the tree body, is considered to be the most effective anticancer drug in first-line clinic, and has excellent curative effect in the aspects of treating breast cancer, lung cancer, ovarian cancer and the like. However, the growth of the Chinese yew is slow, the requirements on the habitat are very strict, and even if the environmental factors in the habitat are changed, the growth and development of the Chinese yew are affected, and even the survival of the Chinese yew is threatened, so that the cultivation and popularization of the Chinese yew are severely restricted. Therefore, a scientific and effective detection method for the early stress state of the Chinese yew is necessary to be established, which is the basis for reasonably developing Chinese yew resources, rapidly and accurately identifying and screening environment-tolerant Chinese yew germplasm and improving Chinese yew breeding efficiency, and has important significance for protecting and utilizing the Chinese yew.
Chlorophyll fluorescence technology is a powerful tool for studying photosynthesis changes of plants in different environments. Based on the advantages of rapid, sensitive and nondestructive measurement, the method has been widely applied to the fields of plant stress-resistant physiology and the like. After a plant is subjected to stress, the fluorescence intensity of the leaf will change before the phenotypic characteristics. Due to the loss of photosynthetic activity, the fluorescence information is correspondingly reduced, and little fluorescence information is available in severe cases. Therefore, by exploring the change of chlorophyll fluorescence kinetics and combining an image processing technology, the differentiation of healthy plants and stress plants can be realized.
At present, although students try to explore the influence of different biotic or abiotic stresses on plants, such as temperature, moisture, plant diseases and insect pests and the like by using chlorophyll fluorescence imaging technology. However, a detection method suitable for the stress state of the Chinese yew has not been reported at present, and the sensitivity degree of chlorophyll fluorescence parameters of different plants to environmental changes is different, so that proper parameters need to be screened for constructing the fluorescent imaging of the Chinese yew.
Disclosure of Invention
In view of the above, the invention aims to provide a taxus stress detection method based on chlorophyll fluorescence imaging technology.
It should be noted that most of the methods published at present are directed against specific periods and specific stresses, and the recognition effect under natural or agricultural production conditions is general; and the living state of the plant is directly affected due to the season variation. Therefore, it is necessary to more comprehensively analyze the influence of seasonal variation on the detection effect of the stress state of the yew.
In addition, most of the prior art aims at single-point or multi-point measurement of broad-leaved plants, and taxus chinensis is taken as a typical conifer species, after being stressed, the spatial heterogeneity exists in chlorophyll fluorescence parameters of different areas on the surface of the leaves or among different needles, and single-point or multi-point measurement analysis of the leaves and the leaves is insufficient; and the yew has strict requirements on the growth environment, and a monitoring method which is prior to phenotype symptoms is developed for detecting the early stress state of the yew so as to promote the protection and utilization of the yew.
A method for detecting stress of Taxus chinensis based on chlorophyll fluorescence imaging technology comprises the following steps:
(1) Collecting small branches with leaves of the Chinese yew, wherein the small branches with leaves of the Chinese yew comprise small branches with full-span and mature leaves with different collecting time and different growing seasons;
(2) Wiping the water and the stains on the surface of the small branches with leaves of the taxus chinensis in the step (1) by using filter paper or gauze, placing the small branches with leaves into a self-sealing bag for extruding air, and placing the self-sealing bag into an opaque ice box for dark treatment;
(3) Measuring the chlorophyll fluorescence parameter Fv/Fm (maximum light quantum yield of PSII reaction center) value of the yew branches with leaves by using a modulated fluorescence imaging system, and collecting corresponding RGB images;
(4) Determining the stress degree of the taxus chinensis germplasm to be tested according to the following grading standard:
Fv/Fm is more than or equal to 0.8, and the leaves of the whole small branch in the RGB image are uniformly orange red and are in a healthy state;
Fv/Fm is 0.74-0.8, and the leaves of the whole small branch in the RGB image are orange yellow and are in a slight stress state; the local leaf presents yellow-green color, which is a local moderate stress state;
Fv/Fm is 0.70-0.74, and the leaves of the whole small branch in the RGB image are in a yellow-green state and are in a moderate stress state; the local leaf presents blue-green color, which is a local severe stress state;
Fv/Fm is less than 0.7, and the leaves of the whole small branch in the RGB image are blue-green and are in a heavy stress state.
Further, in the step (1), the different collecting time is preferably in a sunny day without clouds, and the period is a key period of plant photosynthesis every day between 9:00 and 11:00 am; the different growing seasons can be determined according to actual requirements.
Preferably, the invention collects branches with leaves of yew as test samples.
The branches with fully-developed mature leaves are preferably annual branches with the top of 3 rd-7 th section branches downwards from the top of the plant, the collection length is 3-5 cm, and each branch can be ensured to contain 15-20 needle leaves.
Further, in the step (2), the dark treatment time is at least 20 minutes, which can be determined according to practical needs.
Preferably, the invention combines the preservation, transportation and dark treatment of the sample together for 20 minutes to 60 minutes, and can ensure the accuracy of the subsequent measurement of the isolated blade.
Further, in the step (3), a chlorophyll fluorescence imaging system is operated according to the specification of the instrument instruction, the value of chlorophyll fluorescence parameters Fv/Fm of the sample to be tested is measured, and corresponding RGB images are acquired.
Preferably, the RGB image color mode corresponding to the Fv/Fm value is set to be 0-255, and the RGB image color intensity value corresponding to the Fv/Fm value is set to be 0.35-0.9, so that obvious grading effect can be presented when the stress degree is identified;
further, the value of the chlorophyll fluorescence parameter Fv/Fm measured in the step (3) is the comprehensive value of the whole plant of the leaf-bearing branch sample; preferably, the invention performs 3 times of repeated sample detection on each material, and calculates the average value, thereby obtaining the Fv/Fm value of the material to be detected.
Further, in the step (4), the grading standard is used for the yew branches with leaves under different growth environments by taking the comprehensive identification results of Fv/Fm values and corresponding RGB images of different yew germplasm under different climatic conditions throughout the year as a reference.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the chlorophyll fluorescence imaging technology is applied to the detection of the stress of the Chinese yew germplasm, the detection of the chlorophyll fluorescence imaging is carried out by adopting the small branches of the Chinese yew with leaves, and meanwhile, the screening of specific parameters and the optimization of imaging characteristics are carried out aiming at the Chinese yew germplasm, so that the method has the advantages of small wounds on plants, rapid operation process, good result repeatability and good identification effect on the stress states of the Chinese yew in different seasons and different growing environments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a representative RGB image of Fv/Fm of a yew with leaves branch of Taxus media 1 month to 12 months without being set by a unified imaging mode.
FIG. 2 is a representative RGB image of Fv/Fm of yew with leaves and branches of Taxus chinensis in 1-12 months without uniform imaging mode setting.
FIG. 3 is a graph of Fv/Fm values and corresponding representative RGB images of Taxus media with leaves branches from 1 month to 12 months.
FIG. 4 is a graph of Fv/Fm values and corresponding representative RGB images of Taxus chinensis vantage branches 1 month to 12 months.
Detailed Description
The following description of embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The present invention will be further specifically illustrated by the following examples, which are not to be construed as limiting the invention, but rather as falling within the scope of the present invention, for some non-essential modifications and adaptations of the invention that are apparent to those skilled in the art based on the foregoing disclosure.
The technical scheme of the invention will be further described below with reference to specific embodiments.
Example 1
1. Collecting small branches with leaves of Taxus chinensis
The Chinese yew germplasm adopted by the invention is Taxus media (Taxus media) and Taxus mairei (Taxus mairei) respectively. The branches with leaves of the yew for trial are respectively collected in a plant garden yew germplasm resource garden in Nanjing Zhongshan in Nanjing, xuanwu area in Nanjing, jiangsu province of 2021, 1 month to 12 months. The change in environmental factors during the observation period is shown in table 1.
As can be seen from Table 1, the temperature, the light, the precipitation, etc. are changed to different extents with the change of seasons, thereby forming potential environmental stress to affect the growth and development of Taxus chinensis. Selecting a sunny and cloudless sunny day in month (10-15 days), collecting current annual branches with full-span and mature leaves at the tops of the 3 rd-7 th section branches from the top of the plants down in 9:00-11:00 am, wherein the collection length is 3-5 cm, and each branch is ensured to contain 15-20 needle leaves;
TABLE 1 2021 environmental factor data from 1 to 12 months
2. Pretreatment of small branches with leaves of taxus chinensis
After the taxus chinensis branch samples with leaves are collected every month, immediately wiping the water and stains on the surfaces of the samples by using filter paper or gauze which are prepared in advance, placing the samples in a self-sealing bag of extrusion air, and placing the self-sealing bag in an opaque ice box for preservation, wherein the sample transportation and the dark treatment process are finished at the same time, and the time is between 20 minutes and 60 minutes, so that the accuracy of the subsequent measurement of the isolated samples is ensured.
3. The sample after dark treatment is flatly laid on a placing table of a detection chamber of a chlorophyll fluorescence imaging system, the chlorophyll fluorescence imaging system used in the embodiment of the invention is a modulation type fluorescence imaging system Chlorophyll Fluorescence-Imager (CFI, technical, UK), the chlorophyll fluorescence imaging system is operated according to the specification of an instrument specification, and chlorophyll fluorescence parameters are obtained by automatic calculation of a built-in software Fluor Imager (version 2.2), including Fv/Fm, fv '/Fm' (effective light quantum yield of PSII reaction center), NPQ (non-photochemical quenching), qP (photochemical quenching) and qP (photochemical quenching)(actual quantum yield of PSII reaction center) and corresponding parameters.
As shown in Table 2, fv '/Fm' and were found by analyzing the dynamic change results of different chlorophyll fluorescence parameters of different yew germplasm throughout the yearThe variation amplitude under different environmental conditions is smaller than Fv/Fm, and the index sensitivity is weaker;NPQ and qP are affected by the activity of a photosynthetic mechanism, and cannot show consistent change trend when different environmental stresses are indicated; preferably, fv/Fm is determined to be a sensitive indicator indicative of the stress state of Taxus chinensis.
TABLE 2 month dynamic changes in chlorophyll fluorescence parameters of two Taxus chinensis
In addition, representative RGB images of Fv/Fm of Taxus media and Taxus media, which were not set by the unified imaging mode, are shown in FIGS. 1 and 2. As can be seen in fig. 1 and 2, neither can accurately distinguish between health and heterogeneity of the leaf.
And setting a fluorescence imaging mode for matching parameter grading according to annual change results of different taxus germplasm Fv/Fm. Preferably, the RGB image color mode is set to be 0-255, the RGB image color intensity value is set to be 0.35-0.9, and the obvious grading effect is displayed when the degree of the stress of the taxus chinensis is identified. 3 replicates were set for each material and the average was calculated to give Fv/Fm values for that material.
4. Determining the stress degree of the taxus chinensis to be tested according to the following grading standard:
Fv/Fm is more than or equal to 0.8, and the leaves of the whole small branch in the RGB image are uniformly orange red and are in a healthy state;
Fv/Fm is 0.74-0.8, and the leaves of the whole small branch in the RGB image are orange yellow and are in a slight stress state; the local leaf presents yellow-green color, which is a local moderate stress state;
Fv/Fm is 0.70-0.74, and the leaves of the whole small branch in the RGB image are in a yellow-green state and are in a moderate stress state; the local leaf presents blue-green color, which is a local severe stress state;
Fv/Fm is less than 0.7, and the leaves of the whole small branch in the RGB image are blue-green and are in a heavy stress state.
Fv/Fm values and RGB pictures of different Taxus species are shown in FIGS. 3 and 4.
According to the grading criterion of the present embodiment, as can be seen from the detection results (fig. 3 and 4),
taxus media presents a healthy state in 2 months and 4 months-9 months, presents a mild stress state in 10 months and 11 months, presents a local moderate stress state in 3 months, presents a moderate stress state in 12 months, and presents a severe stress state in 1 month;
taxus chinensis var mairei presents a healthy state at 4 months, 5 months, 7 months and 9 months, a mild stress state at 11 months, a local moderate stress state at 3 months, 6 months, 8 months and 10 months, a moderate stress state at 2 months and 12 months, and a severe stress state at 1 month;
in addition, the surface of the leaves of the Taxus chinensis var mairei is greened in 1 month, so that the accuracy of the grading standard is further verified.
The test yew used in the invention is a common cultivation material, and the implementation of the invention is not limited to the above germplasm.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. A method for detecting stress of taxus chinensis based on chlorophyll fluorescence imaging technology is characterized by comprising the following steps:
(1) Collecting small branches with leaves of the Chinese yew, wherein the small branches with leaves of the Chinese yew comprise small branches with full-span and mature leaves with different collecting time and different growing seasons;
in the step (1), a sunny day without clouds is selected, current new branches with full-spread and mature needle leaves at the tops of the 3 rd-7 th section branches are selected from 9:00 to 11:00 am to collect, and the collection length is 3-5 cm;
(2) Wiping the water and the stains on the surface of the small branches with leaves of the taxus chinensis in the step (1) by using filter paper or gauze, placing the cleaned small branches with leaves into a self-sealing bag for extruding air, and then placing the self-sealing bag into an opaque ice box for dark treatment;
in the step (2), the preservation, transportation and dark treatment processes of the sample in the ice box can be performed simultaneously, and the time is between 20 minutes and 60 minutes;
(3) Measuring the chlorophyll fluorescence parameter Fv/Fm (maximum light quantum yield of PSII reaction center) value of the yew branches with leaves by using a modulated fluorescence imaging system, and collecting corresponding RGB images;
the RGB image color mode corresponding to the Fv/Fm value is set to be 0-255; the color intensity value of the RGB image corresponding to the Fv/Fm value is set to be 0.35-0.9;
(4) Determining the stress degree of the taxus chinensis germplasm to be tested according to the following grading standard:
Fv/Fm is more than or equal to 0.8, and the leaves of the whole small branch in the RGB image are uniformly orange red and are in a healthy state;
Fv/Fm is 0.74-0.8, and the leaves of the whole small branch in the RGB image are orange yellow and are in a slight stress state; the local leaf presents yellow-green color, which is a local moderate stress state;
Fv/Fm is 0.70-0.74, and the leaves of the whole small branch in the RGB image are in a yellow-green state and are in a moderate stress state; the local leaf presents blue-green color, which is a local severe stress state;
Fv/Fm is less than 0.7, and the leaves of the whole small branch in the RGB image are blue-green and are in a heavy stress state;
in the step (4), the grading standard of stress degree of the taxus chinensis germplasm is divided by taking the identification results of different taxus chinensis germplasm under different climatic conditions all year round as references.
2. The method for detecting the stress of the taxus chinensis based on the chlorophyll fluorescence imaging technology according to claim 1, wherein,
in the step (3), the measured value of the fluorescence parameter Fv/Fm of chlorophyll is the comprehensive value of the whole plant of the branch sample with leaves; 3 repeated samples are set for each material to be detected, and then the average value is calculated to obtain the Fv/Fm value of the material to be detected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211642900.7A CN115839937B (en) | 2022-12-20 | 2022-12-20 | Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211642900.7A CN115839937B (en) | 2022-12-20 | 2022-12-20 | Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115839937A CN115839937A (en) | 2023-03-24 |
| CN115839937B true CN115839937B (en) | 2024-01-09 |
Family
ID=85578942
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211642900.7A Active CN115839937B (en) | 2022-12-20 | 2022-12-20 | Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115839937B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105588921A (en) * | 2016-01-29 | 2016-05-18 | 浙江农林大学 | Method for researching influence of polyamine on ilex verticillata chlorophyll fluorescence characteristic under salt stress |
| CN108982446A (en) * | 2018-07-06 | 2018-12-11 | 浙江大学 | A kind of inline diagnosis and the imaging-PAM system and method for being classified crop disease |
| CN109121988A (en) * | 2018-09-28 | 2019-01-04 | 红河学院 | A kind of research that heavy metal cadmium stress influences daphne odera characteristic |
| KR20190081535A (en) * | 2017-12-29 | 2019-07-09 | 충북대학교 산학협력단 | Method for determining stress of plants to increase phytochemical content using image chlorophyll fluorescence |
| CN110596055A (en) * | 2019-05-30 | 2019-12-20 | 浙江大学山东工业技术研究院 | Citrus huanglongbing detection method based on chlorophyll fluorescence imaging technology |
| EP3674707A1 (en) * | 2018-12-26 | 2020-07-01 | Beijing Diagreat Biotechnologies Co., Ltd. | Time-resolved fluorescent immunochromatographic test strip for detecting paclitaxel drugs as well as preparation method and application thereof |
| CN111665225A (en) * | 2020-01-03 | 2020-09-15 | 南京农业大学 | Method and device for distinguishing different disease stresses of cucumbers based on chlorophyll fluorescence imaging technology |
| CN112179881A (en) * | 2020-09-21 | 2021-01-05 | 江苏省农业科学院 | Early detection method of mung bean leaf spot based on chlorophyll fluorescence imaging |
| AU2020104289A4 (en) * | 2020-12-23 | 2021-03-11 | Sichuan Agricultural University | Application of Exogenous γ-Polyglutamic Acid in Relieving Cadmium Stress and Reducing Cadmium Uptake in Pepper Seedlings |
| CN113030037A (en) * | 2021-02-07 | 2021-06-25 | 浙江农林大学暨阳学院 | Chlorophyll fluorescence kinetic analysis method for male seedlings and female seedlings of torreya grandis under high-temperature stress |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012097068A (en) * | 2010-10-04 | 2012-05-24 | Sumitomo Chemical Co Ltd | Method for reducing influence due to water stress in plant |
-
2022
- 2022-12-20 CN CN202211642900.7A patent/CN115839937B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105588921A (en) * | 2016-01-29 | 2016-05-18 | 浙江农林大学 | Method for researching influence of polyamine on ilex verticillata chlorophyll fluorescence characteristic under salt stress |
| KR20190081535A (en) * | 2017-12-29 | 2019-07-09 | 충북대학교 산학협력단 | Method for determining stress of plants to increase phytochemical content using image chlorophyll fluorescence |
| CN108982446A (en) * | 2018-07-06 | 2018-12-11 | 浙江大学 | A kind of inline diagnosis and the imaging-PAM system and method for being classified crop disease |
| CN109121988A (en) * | 2018-09-28 | 2019-01-04 | 红河学院 | A kind of research that heavy metal cadmium stress influences daphne odera characteristic |
| EP3674707A1 (en) * | 2018-12-26 | 2020-07-01 | Beijing Diagreat Biotechnologies Co., Ltd. | Time-resolved fluorescent immunochromatographic test strip for detecting paclitaxel drugs as well as preparation method and application thereof |
| CN110596055A (en) * | 2019-05-30 | 2019-12-20 | 浙江大学山东工业技术研究院 | Citrus huanglongbing detection method based on chlorophyll fluorescence imaging technology |
| CN111665225A (en) * | 2020-01-03 | 2020-09-15 | 南京农业大学 | Method and device for distinguishing different disease stresses of cucumbers based on chlorophyll fluorescence imaging technology |
| CN112179881A (en) * | 2020-09-21 | 2021-01-05 | 江苏省农业科学院 | Early detection method of mung bean leaf spot based on chlorophyll fluorescence imaging |
| AU2020104289A4 (en) * | 2020-12-23 | 2021-03-11 | Sichuan Agricultural University | Application of Exogenous γ-Polyglutamic Acid in Relieving Cadmium Stress and Reducing Cadmium Uptake in Pepper Seedlings |
| CN113030037A (en) * | 2021-02-07 | 2021-06-25 | 浙江农林大学暨阳学院 | Chlorophyll fluorescence kinetic analysis method for male seedlings and female seedlings of torreya grandis under high-temperature stress |
Non-Patent Citations (6)
| Title |
|---|
| Chlorophyll Fluorescence and Vegetative Propagation of Taxus;Sarah E. Bruce 等;HORTSCIENCE;第36卷(第5期);971–975 * |
| Winter photoinhibition in needles of Taxus baccata seedlings acclimated to different light levels;P. ROBAKOWSKI 等;PHOTOSYNTHETICA;第47卷(第4期);527-535 * |
| 不同产地南方红豆杉育种亲本叶绿素含量及荧光参数差异分析;肖遥;张蕊;刘建慧;梁朔;周志春;;南京林业大学学报(自然科学版)(第03期);57-64 * |
| 李威 ; 赵雨森 ; 周志强 ; 孙广玉 ; 刘彤 ; .干旱和复水对东北红豆杉叶片叶绿素荧光特性和抗氧化酶活性的影响.中国沙漠.2012,112-116. * |
| 李玉平主编.植物生物学实验.西北农林科技大学出版社,2003,21. * |
| 高温对曼地亚红豆杉叶绿素荧光参数的影响;鲍思伟;谈锋;;福建林业科技(第03期);第1-2节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115839937A (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion | |
| Wang et al. | A method of high throughput monitoring crop physiology using chlorophyll fluorescence and multispectral imaging | |
| Dong et al. | Application of chlorophyll fluorescence imaging technique in analysis and detection of chilling injury of tomato seedlings | |
| CN105548113B (en) | A kind of plant physiology monitoring method based on chlorophyll fluorescence and multispectral image | |
| CN108519339B (en) | WT-L SSVR-based leaf cadmium content Vis-NIR spectral feature modeling method | |
| Taheri-Garavand et al. | Employment of artificial neural networks for non-invasive estimation of leaf water status using color features: A case study in Spathiphyllum wallisii | |
| MX2011006415A (en) | Method, apparatus and system for diagnosis of stresses and diseases in higher plants. | |
| Hairuddin et al. | Overview of image processing approach for nutrient deficiencies detection in Elaeis Guineensis | |
| Zhou et al. | Imaging analysis of chlorophyll fluorescence induction for monitoring plant water and nitrogen treatments | |
| Derkowska et al. | Assessment of mycorrhizal frequency in the roots of fruit plants using different dyes | |
| Brambilla et al. | Application of a low-cost RGB sensor to detect basil (Ocimum basilicum L.) nutritional status at pilot scale level | |
| Farooq et al. | Dynamics of canopy development of Cunninghamia lanceolata mid-age plantation in relation to foliar nitrogen and soil quality influenced by stand density | |
| CN111024667A (en) | Method for quickly evaluating and/or screening saline-alkali tolerant plants in high flux | |
| Žibrat et al. | Pipeline for imaging, extraction, pre-processing, and processing of time-series hyperspectral data for discriminating drought stress origin in tomatoes | |
| Lu et al. | Hyperspectral imaging with machine learning to differentiate cultivars, growth stages, flowers, and leaves of industrial hemp (Cannabis sativa L.) | |
| Jansen et al. | Non-invasive phenotyping methodologies enable the accurate characterization of growth and performance of shoots and roots | |
| CN112630184A (en) | Method for identifying phenotype of cotton verticillium wilt disease | |
| Zhang et al. | Spectral characteristics and the study of pollution degree of maize leaves under copper and lead stress | |
| CN110596048A (en) | Method for quickly measuring potassium content in tobacco leaves by spectrum | |
| Sun et al. | Optimal temporal–spatial fluorescence techniques for phenotyping nitrogen status in oilseed rape | |
| CN115839937B (en) | Taxus chinensis stress detection method based on chlorophyll fluorescence imaging technology | |
| Sell et al. | Assessing the fine root growth dynamics of Norway spruce manipulated by air humidity and soil nitrogen with deep learning segmentation of smartphone images | |
| CN110149947B (en) | Screening research method for tobacco field thrips resistance characters | |
| CN116151454A (en) | Method and system for predicting yield of short-forest linalool essential oil by multispectral unmanned aerial vehicle | |
| CN112179881B (en) | Early detection method for mung bean leaf spot based on chlorophyll fluorescence imaging |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |