CN115032219A - Method and system for detecting tomato growth and quality influence factors under high-temperature stress - Google Patents
Method and system for detecting tomato growth and quality influence factors under high-temperature stress Download PDFInfo
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Abstract
The invention discloses a method and a system for detecting tomato growth and quality influence factors under high-temperature stress, which comprises the following steps: acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress; constructing a tomato leaf gas exchange model based on the ultrastructural characteristics; obtaining a moisture response function based on a tomato leaf gas exchange model; obtaining an improved tomato leaf gas exchange model based on a moisture response function; and obtaining a regulation and control mechanism of the influence factors based on an improved tomato leaf gas exchange model. The simulation precision of the tomato leaf gas exchange model can be improved, the regulation and control mechanism of tomato leaf gas exchange pores and non-pore factors at different stages of high temperature stress can be disclosed, and the accuracy of the detection result is improved.
Description
Technical Field
The invention relates to the technical field of facility agriculture meteorological research, in particular to a method and a system for detecting tomato growth and quality influence factors under high-temperature stress.
Background
The tomato blossoming and fruiting period is sensitive to temperature response, especially the temperature requirements of 5-9 days before and 2-3 days after blooming are strict, and in the fruiting period, if the temperature is too high, the fertilization is poor, the fruit setting number is small, and high-temperature forced ripening phenomenon or cavity fruit formation is easy to occur. In addition, too high a temperature is detrimental to the formation of lycopene, resulting in a colourshift of the tomato fruit. Temperature is a main regulation factor in facility tomato cultivation, and the leaf gas exchange process is sensitive to temperature change.
Plant leaf gas exchange is one of the most important physiological processes of plant stress, and the leaf gas exchange which takes photosynthesis and transpiration as the main factors determines the growth and yield formation of crops. In order to more accurately reflect the influence of environmental factors on the growth and development of crops (particularly in the background of climate warming, the synergistic change effect of a plurality of influencing factors needs to be considered). The accumulation of the crops chemicals and the water consumption are calculated on the basis of the leaf gas exchange, and a crop model can be established for simulating the growth and development of the crops and the yield forming process. Simulation of leaf gas exchange has been a key and difficult point in crop model research. The current land surface mode is used for describing and simulating the material and energy exchange between vegetation and the atmosphere, and the key point of the mode is to accurately simulate the carbon and water exchange process between vegetation and the atmosphere, and the process is mainly controlled by pores on the surface of plant leaves and is completed through gas exchange (namely plant photosynthesis and transpiration). Compared with other environmental elements, due to the complexity of the high-temperature stress generation process and the disaster-causing mechanism, the quantitative relation of the high-temperature stress generation process and the disaster-causing mechanism to the plant leaf gas exchange is difficult to determine. The occurrence of high temperature inevitably changes the gas exchange process of plant leaves, and further influences the interaction of vegetation and atmosphere and the formation of crop yield. Therefore, how to accurately simulate the gas exchange of plant leaves under the high-temperature stress condition is a problem to be solved urgently for evaluating the influence of climate change caused by global warming on the global ecosystem and predicting the crop yield in different areas.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method and a system for detecting tomato growth and quality influence factors under high temperature stress.
In order to realize the technical purpose, the invention provides a method for detecting tomato growth and quality influence factors under high-temperature stress, which comprises the following steps:
acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress;
constructing a tomato leaf gas exchange model based on the ultramicro structure characteristics;
obtaining a moisture response function based on the tomato leaf gas exchange model;
obtaining an improved tomato leaf gas exchange model based on the moisture response function;
and obtaining a regulation and control mechanism of influence factors based on the improved tomato leaf gas exchange model.
Optionally, the characteristic of the ultra-micro structure is obtained by observing and analyzing by a scanning electron microscope and a transmission electron microscope.
Optionally, the acquiring process of the moisture response function is:
and performing high-temperature stress control on temperature response characteristics in different high-temperature stress processes based on key parameters in the tomato leaf gas exchange model, and analyzing the relation between the key parameters and water supply in the high-temperature stress control process to obtain a water response function.
Optionally, the modified tomato leaf gas exchange model obtaining process is as follows:
setting high-temperature stress tests with different temperatures, and correcting key parameters in the tomato leaf gas exchange model through a water response function to obtain the improved tomato leaf gas exchange model.
The invention also provides a system for detecting the influence factors of tomato growth and quality under high-temperature stress, which comprises the following steps: the system comprises an acquisition module, a model construction module, a moisture response module, a model improvement module and a detection module;
the acquisition module is used for acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress;
the model building module is used for building a tomato leaf gas exchange model based on the ultrastructural characteristics;
the moisture response module is used for obtaining a moisture response function based on the tomato leaf gas exchange model;
the model improvement module is used for obtaining an improved tomato leaf gas exchange model based on the moisture response function;
the detection module is used for obtaining a regulation and control mechanism of influence factors based on the improved tomato leaf gas exchange model.
Optionally, the acquisition module includes a scanning electron microscope unit and a transmission electron microscope unit;
the scanning electron microscope unit and the transmission electron microscope unit are used for acquiring the ultramicro structural characteristics of the tomato leaves under high-temperature stress.
Optionally, the moisture response module comprises a first high temperature stress unit and an analysis unit;
the first high-temperature stress unit is used for carrying out high-temperature stress control on temperature response characteristics in different high-temperature stress processes based on key parameters in the tomato leaf gas exchange model;
and the analysis unit is used for analyzing the relation between the key parameters and the water supply in the high-temperature stress control process to obtain a water response function.
Optionally, the model improvement module comprises a second high temperature stress unit and a correction unit;
the second high-temperature stress unit is used for setting high-temperature stress tests with different temperatures;
the correction unit is used for correcting key parameters in the tomato leaf gas exchange model through the moisture response module to obtain the improved tomato leaf gas exchange model.
The invention has the following technical effects:
(1) according to the invention, by utilizing macro-micro observation means and analysis technology, the relationship of regulation and control of high-temperature stress on tomato leaf gas exchange pores and non-pore factors of a facility is researched from the difference of factors influencing plant leaf gas exchange, so that the simulation precision of a tomato leaf gas exchange model can be improved, and the regulation and control mechanism of the tomato leaf gas exchange pores and the non-pore factors at different stages of high-temperature stress can be disclosed.
(2) The invention combines observation and observation tests with a theoretical model, analyzes main influence factors of the gas exchange of the leaves of the facility tomatoes and a regulation and control mechanism thereof in the high-temperature stress process, and improves the accuracy of the detection result.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block diagram of a process of detecting the influence factors of tomato growth and quality under high temperature stress according to an embodiment of the present invention;
FIG. 2 is a TEM scanning result of tomato flower stalk cells in the first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
The test of the embodiment is carried out in a glass greenhouse (Venlo type) and an intelligent artificial climate chamber (TPG1260, Australian) of an agricultural weather testing station of Nanjing information engineering university, a barrel planting experiment is carried out in the greenhouse, and then the greenhouse is moved to a climate box for a high-temperature test. The analytical test center of the western Anhui college carries out part of the scanning electron microscope and transmission electron microscope tests. Meanwhile, in order to ensure higher test observation strength and test consistency, the tomatoes of the same variety are selected for testing in different years, and the problem that the high temperature resistance is different due to different varieties of tomatoes is not involved. The water supply of the barrel planting test can be controlled, so that the change process of the tomato leaf gas exchange from the initial stage of high-temperature stress to the severe high temperature can be completely observed, and the observation of the barrel planting test is the key point for calculating the key parameters and the change rule of the tomato leaf gas exchange model.
In the embodiment, the test treatment is set at the beginning of the tomato flowering and fruiting period, so that the period from the tomato flowering and fruiting to the tomato fruiting period in the test period is ensured, and the uncertainty of model parameter analysis caused by the change of the tomato growth period is avoided, namely, the phenomenon that the gas exchange model parameter is changed due to the fact that the high temperature or the growth period change cannot be distinguished is avoided. The test setting period comprises the stage that the tomato growth and development is most sensitive to the moisture requirement (the flowering and fruiting period, the tomato belongs to the same plant of flowers and fruits), and is favorable for test development and data analysis.
This example was carried out in the agro-meteorological emphasis laboratory of Nanjing information engineering university at 9-12 months in 2023, the early stage of seedling raising and growth was completed in the seedbed of the greenhouse at the beginning of 9 months, and when the seedlings were grown to four leaves and one heart, they were customized to a bucket with the specification of 28cm (height) × 34cm (upper caliber) × 18cm (bottom diameter). The management mode is the same from tomato seedling culture to the management mode before the test treatment (the water and fertilizer supply is sufficient). When the tomato seedlings grow to the initial flowering stage, namely when the tomatoes grow to the first inflorescence bud after being planted (generally from planting to flowering for about 30 days), the tomato plants are put into a phytotron (TPG1260, Australian) for high-temperature stress test.
Under the condition of sufficient water supply (the water content of soil in a pot is always kept above 75% of the field water capacity), 3 temperature gradients (day temperature/night temperature) are set in the high-temperature stress test, and the temperature gradients are respectively as follows: t1(38 ℃/18 ℃, CK), T2(41 ℃/18 ℃), T3(44 ℃/18 ℃). The day temperature and the night temperature represent the highest temperature in the day and the lowest temperature at night, the day temperature and the night temperature are set in the climate box to be increased or decreased in a gradient manner and approximate to the daily change of the temperature of Nanjing, wherein the lowest temperature appears in the early morning 05: 00, maximum temperature occurs in 14 pm: 00. air relative humidity reference (influence of high temperature and air humidity interaction on the water physiology of flowering tomato plants, China agricultural meteorology, 2019,40(05): 317-. The number of days on duration was set at 3 levels, 3d, 6d, 9d respectively. At 08: 00-18: 00 Photosynthetically Active Radiation (PAR) set to 1000 μm -2 ·s -1 And the rest of the time is 0. The water and nutrient conditions of the potting soil were consistent and maintained at optimum levels during the test.
As shown in figure 1, the invention discloses a method for detecting tomato growth and quality influence factors under high-temperature stress, which comprises the following steps:
acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress;
and observing the influence of different high temperatures on stomatal characteristics of the tomato leaves and the influence of different high temperatures on chloroplast structures of the tomato leaves by adopting a scanning electron microscope and a transmission electron microscope. Before the different high-temperature stress treatment processes are started and finished, the functional leaves in the middle of the tomato plant are collected to be subjected to sample preparation and observation by a scanning electron microscope and a transmission electron microscope. 8 replicates were set for each high temperature stress treatment (3 for gas exchange and ultramicroscopic observation, others for leaf water potential measurement). The test was carried out for 2 consecutive years.
Observing by a scanning electron microscope: collecting functional leaves in the middle of the plant, taking parts on two sides of the main leaf vein of the leaves, cutting into small blocks of 1mm multiplied by 1mm by using a scalpel, placing the small blocks in a 2mL centrifuge tube, and fixing by using glutaraldehyde. After washing 4 times with PBS buffer, dehydration was performed with an ethanol gradient and then replaced with isoamyl acetate. The samples were dried, gold sprayed, observed under a S4800 field emission scanning electron microscope (hitachi, japan) and photographed. The pore density was calculated using 300-fold photographs, the pore size and degree of openness were measured using 5000-fold photographs, 10 fields were selected for each treatment, averaged, and measured using Photoshop software.
And (3) observing by a transmission electron microscope: collecting functional leaves in the middle of a plant, taking parts on two sides of a main leaf vein of the leaves, cutting the parts into small squares with the size of 2mm multiplied by 2mm by a blade, putting the small squares into a 2mL centrifuge tube, fixing the small squares for 24 hours by using 1% potassium permanganate solution, washing the small squares for three times by using PBS (phosphate buffer solution), and fixing the small squares by using 3% glutaraldehyde. The samples were washed 3 times with PBS buffer, fixed with osmic acid, washed again with PBS buffer, dehydrated with an ethanol gradient, infiltrated with gelatin and embedded. The sections were cut with an ultra microtome EM UC7 (come card, germany) and the samples were stained with uranyl acetate and lead citrate. Observation and photographing were performed with an HT7700 transmission electron microscope (hitachi, japan). The number of chloroplasts and starch granules was counted, the length and width thereof were measured with Photoshop software, 10 fields were selected for each treatment, and the average was taken.
In this example, the TEM scanning result of tomato flower stalk cells obtained by using the flower stalk as an example after the high temperature treatment at 35 ℃ is shown in FIG. 2.
And (3) measurement of physiological indexes: during the test, the daily change of the gas exchange of the tomato leaves, the photoresponse curve, the gas exchange parameters of the leaves and the chlorophyll fluorescence parameters in the 3 treatment processes for gas exchange and ultramicro observation are observed (the 3 processes are measured under the control condition of environmental elements, and the change between the days of the gas exchange of the tomato leaves is small under the condition of sufficient water supply, so that the tomato leaves are observed for 1 time every 3 days); the photosynthetic property is measured by a Li-6400 photosynthesis measuring system for 1 time every 2h from 8:00 to 18: 00. In this embodiment, the observed physiological indicators include an environmentFactors such as photosynthetically active radiation, air temperature, relative humidity, saturated water vapor difference, etc. within the greenhouse; synchronously observing the leaf water potential and the soil moisture in the morning on the observation day; the observed indexes of the tomato leaf gas exchange parameters comprise: net photosynthetic rate of leaf P n Blade air hole guide G s Intercellular CO 2 Concentration, limiting value L of blade air hole s Leaf transpiration rate T r Leaf Water Use Efficiency (WUE) and leaf Intrinsic Water Use Efficiency (IWUE).
Fitting the optical response curves under different high-temperature treatments by adopting a leaf floating model to obtain an optical saturation point (LSP), an optical compensation point (LCP) and a maximum net photosynthetic rate (P) max ) And initial quantum efficiency (AQE), analyzing the response rule of the photosynthetic structure to high-temperature stress by using the parameters, and quantitatively revealing the deformation degree of the photoresponse curve under different levels of adversity stress to obtain the ultra-micro structure characteristics of the tomato leaves under the high-temperature stress.
Constructing a tomato leaf gas exchange model based on the ultramicro structural characteristics;
in the embodiment, the gas hole conductivity is calculated according to a semi-empirical gas hole conductivity model based on the obtained ultrastructural characteristics, and the gas transmission unit is formed by combining the semi-empirical gas hole conductivity model and the transmission of the atmosphere in a boundary layer (including a gas transmission mode in a greenhouse) in consideration; calculating a net photosynthetic rate with a photosynthetic biochemical model (FvCB) unit; calculating blade temperature with an energy balancing unit; the combination of the gas transmission unit, the FvCB unit and the energy balance unit is the tomato leaf gas exchange model. The tomato leaf gas exchange model uses radiation, air temperature and atmospheric CO 2 Using meteorological elements such as concentration and air humidity as input variables, iteratively solving a nonlinear equation set (when solving the equation set, 2 initial values are set, namely the initial blade temperature value is set to be equal to the air temperature value, and the initial intercellular CO is set 2 Atmospheric CO with concentration value set equal to 0.7 times 2 Concentration value), calculating to obtain tomato leaf gas exchange indexes (including net photosynthetic rate, transpiration rate, stomatal conductance, intercellular CO) under corresponding meteorological conditions 2 Concentration, water use efficiency, intrinsic water use efficiency, and the like).
Obtaining a moisture response function based on a tomato leaf gas exchange model;
during the high temperature stress process, the tomato leaf gas exchange is mainly regulated by stomatal and non-stomatal factors, wherein the stomatal factor is g s -P n (gas pore conductivity-) is reflected by the change of the slope m of a semi-empirical gas pore conductivity model in the constructed tomato leaf gas exchange model; the non-stomatal factors are determined by photosynthetic capacity (maximum carboxylation rate Vcmax and maximum electron transfer rate Jmax), and mesophyll conductance g m These 2 changes reflect. The 3 main index parameters (semi-empirical stomatal conductance model slope m, photosynthetic capacity and g) are analyzed m ) The relation between the water content (or leaf water potential) and the soil water content can be constructed by an index, or 2-segment or 3-segment linear function to obtain a water response function.
Obtaining an improved tomato leaf gas exchange model based on a moisture response function;
stress tests with different high temperatures are set, different key parameters of the tomato leaf gas exchange model are corrected by a water response function, and therefore the tomato leaf gas exchange model is improved, and tomato leaf gas exchange of different high-temperature stress process facilities can be simulated. Setting different parameter correction combinations, and correcting parameters corresponding to the tomato leaf gas exchange model by using the constructed water response function (soil water and leaf water potential in the tomato leaf gas exchange model are input variables, and the corresponding parameters can be corrected according to measured values of the soil water and the leaf water potential in the high-temperature stress process), wherein the different parameter correction combinations specifically comprise:
(1) only considering the porosity factor (i.e. correcting only the semiempirical porosity conductivity model slope m); (2) considering only mesophyll conductivity (i.e. correcting only g) m ) (ii) a (3) Considering photosynthetic capacity only (i.e. correcting only V) cmax And J max ) (ii) a (4) Not only considering the air hole factor but also considering the mesophyll conductivity; (5) both stomata factors and photosynthetic capacity are considered; (6) the mesophyll conductivity and the photosynthetic capacity are considered; (7) comprehensively considering the stomata, mesophyll conductance and photosynthetic capacity 3 factors. Based on the measured greenhouse data of different high temperature process daily changes and daily changes, the tomato leaf gas under the correction combination of the 7 different parameters is compared and analyzedThe exchange model selects the one with the best simulation effect for the simulation effect of tomato leaf gas exchange in different high-temperature stress processes, and the adopted parameter correction combination can reflect the real condition of tomato leaf gas exchange regulation and control under the high-temperature condition, so that the improved tomato leaf gas exchange model is obtained.
Further, under different high temperature stresses, the influence of the change of the key parameters of the tomato leaf gas exchange model on the simulation of tomato leaf gas exchange indexes is specifically as follows:
middle V of photosynthetic capacity cmax The influence of the change on the simulation of the net photosynthetic rate of the leaves is large, the influence on the utilization efficiency of water is small, and the influence on the simulation of the stomatal conductance and the transpiration rate is between the two; photosynthetic capacity middle J max The effects of variation on net photosynthetic rate, transpiration rate and stomatal conductance simulations vary with high temperature conditions, J max The influence on the above 3 indexes is the maximum in the morning, the effect in the noon and the afternoon is weakened, and the simulation on the water utilization efficiency has almost no influence; the influence of the change of the slope m of the semi-empirical stomatal conductance model on the simulation of the transpiration rate, the stomatal conductance and the water utilization efficiency is obviously larger than the influence on the net photosynthetic rate, and the influence of the m on the transpiration rate and the stomatal conductance is basically irrelevant to meteorological element fluctuation, which shows that the m is closely related to the calculation of the transpiration rate and the stomatal conductance. Meanwhile, attention needs to be paid to the fact that the effect of the change of the slope m of the semiempirical gas hole conductivity model on the water utilization efficiency is influenced by the change of meteorological elements, wherein the influence is the largest in the morning.
Through the analysis, the determination of the key parameters of the tomato leaf gas exchange model can be known to have great influence on the simulation of tomato leaf gas exchange. Therefore, when the tomato leaf gas exchange model is improved, the key parameters of the tomato leaf gas exchange model are determined to be the basis of success or failure of the tomato leaf gas exchange model through observation tests, and the change characteristics of the key parameters are mastered, so that the model is improved, otherwise, the plant leaf gas exchange simulation is possibly deviated greatly.
Obtaining a regulation and control mechanism of the influence factors based on an improved tomato leaf gas exchange model;
intercellular CO analysis at 70% relative humidity 2 Concentration (interstitial CO) 2 concentration, abbreviated as C i ) And a leaf air hole limit value (L for short) s ) The direction of change of (2) can preliminarily determine that the main cause of the reduction of the photosynthetic rate in the early stage (before 9 d) of the occurrence of mild high-temperature stress (38 ℃/18 ℃, CK) is stomatal restriction, and the mechanism of action is more complicated in the occurrence of non-stomatal restriction factor of the reduction of the photosynthetic rate earlier (after 3 d) in the occurrence of severe high-temperature stress (44 ℃/18 ℃).
Under mild high-temperature stress (38 ℃/18 ℃, CK), the water use efficiency shows a tendency of increasing and then decreasing (the maximum value of the water use efficiency appears at the 6 th d), under moderate high-temperature stress (41 ℃/18 ℃) the water use efficiency shows a tendency of decreasing and then increasing (the minimum value of the water use efficiency appears at the 6 th d), and when severe high-temperature stress (44 ℃/18 ℃) occurs, the water use efficiency shows a tendency of increasing and then decreasing (the maximum value of the water use efficiency appears at the 6 th d). The efficiency of water utilization is increased because of the pores to water and CO 2 Due to different transmission resistances, this indicates that: stomata regulation and control are inevitably existed in the high-temperature stress process, and the stomata regulation and control functions are different under the high-temperature stress of different degrees.
Example two
The invention also discloses a system for detecting the influence factors of tomato growth and quality under high-temperature stress, which comprises the following steps: the method comprises the following steps: the system comprises an acquisition module, a model construction module, a moisture response module, a model improvement module and a detection module;
the acquisition module is used for acquiring the ultra-micro structural characteristics of the tomato leaves under the high-temperature stress, and comprises a scanning electron microscope unit and a transmission electron microscope unit; the scanning electron microscope unit and the transmission electron microscope unit are used for acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress.
The model building module is used for building a tomato leaf gas exchange model based on the ultrastructural characteristics; the model building module comprises: the gas transmission unit is used for calculating the gas hole conductivity according to the semi-empirical gas hole conductivity model based on the obtained ultrastructural characteristics and considering the transmission of the atmosphere in a boundary layer (including a gas transmission mode in the greenhouse); the photosynthetic biochemical model unit is used for calculating net photosynthetic rate; the energy balance unit is used for calculating the temperature of the leaves, and the gas transmission unit, the photosynthetic biochemical model unit and the energy balance unit are combined to obtain the tomato leaf gas exchange model.
The moisture response module is used for obtaining a moisture response function based on the tomato leaf gas exchange model; the water response module comprises a first high-temperature stress unit and an analysis unit, wherein the first high-temperature stress unit is used for carrying out high-temperature stress control on temperature response characteristics in different high-temperature stress processes based on key parameters in a tomato leaf gas exchange model; the analysis unit is used for analyzing the relation between the key parameters and the water supply in the high-temperature stress control process to obtain a water response function.
The model improvement module is used for obtaining an improved tomato leaf gas exchange model based on a moisture response function; the model improvement module comprises a second high-temperature stress unit and a correction unit, wherein the second high-temperature stress unit is used for setting high-temperature stress tests with different temperatures; the correction unit is used for correcting key parameters in the tomato leaf gas exchange model through the moisture response module to obtain the improved tomato leaf gas exchange model.
The detection module is used for obtaining a regulation and control mechanism of the influence factors based on the improved tomato leaf gas exchange model.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. 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 (8)
1. A method for detecting tomato growth and quality influence factors under high-temperature stress is characterized by comprising the following steps:
acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress;
constructing a tomato leaf gas exchange model based on the ultramicro structure characteristics;
obtaining a moisture response function based on the tomato leaf gas exchange model;
obtaining an improved tomato leaf gas exchange model based on the moisture response function;
and obtaining a regulation and control mechanism of influence factors based on the improved tomato leaf gas exchange model.
2. The method for detecting tomato growth and quality affecting factors under high temperature stress according to claim 1,
and observing and analyzing by adopting a scanning electron microscope and a transmission electron microscope to obtain the characteristics of the superfine structure.
3. The method for detecting tomato growth and quality influencing factors under high temperature stress according to claim 1, wherein the water response function is obtained by the following steps:
and performing high-temperature stress control on temperature response characteristics in different high-temperature stress processes based on key parameters in the tomato leaf gas exchange model, and analyzing the relation between the key parameters and water supply in the high-temperature stress control process to obtain a water response function.
4. The method for detecting tomato growth and quality influencing factors under high-temperature stress according to claim 1, wherein the improved tomato leaf gas exchange model obtaining process is as follows:
setting high-temperature stress tests with different temperatures, and correcting key parameters in the tomato leaf gas exchange model through the water response function to obtain the improved tomato leaf gas exchange model.
5. A system for detecting tomato growth and quality influencing factors under high-temperature stress is characterized by comprising: the system comprises an acquisition module, a model construction module, a moisture response module, a model improvement module and a detection module;
the acquisition module is used for acquiring the ultra-micro structural characteristics of the tomato leaves under high-temperature stress;
the model building module is used for building a tomato leaf gas exchange model based on the ultrastructural characteristics;
the moisture response module is used for obtaining a moisture response function based on the tomato leaf gas exchange model;
the model improvement module is used for obtaining an improved tomato leaf gas exchange model based on the moisture response function;
the detection module is used for obtaining a regulation and control mechanism of influence factors based on the improved tomato leaf gas exchange model.
6. The system for detecting the tomato growth and quality influencing factors under the high-temperature stress as recited in claim 5, wherein the obtaining module comprises a scanning electron microscope unit and a transmission electron microscope unit;
the scanning electron microscope unit and the transmission electron microscope unit are used for acquiring the ultramicro structural characteristics of the tomato leaves under high-temperature stress.
7. The system for detecting tomato growth and quality influencing factors under high temperature stress according to claim 5, wherein the water response module comprises a first high temperature stress unit and an analysis unit;
the first high-temperature stress unit is used for carrying out high-temperature stress control on temperature response characteristics in different high-temperature stress processes based on key parameters in the tomato leaf gas exchange model;
and the analysis unit is used for analyzing the relationship between the key parameters and the water supply in the high-temperature stress control process to obtain a water response function.
8. The system for detecting tomato growth and quality influencing factors under high temperature stress according to claim 5, wherein the model improvement module comprises a second high temperature stress unit and a correction unit;
the second high-temperature stress unit is used for setting high-temperature stress tests with different temperatures;
the correction unit is used for correcting key parameters in the tomato leaf gas exchange model through the moisture response module to obtain the improved tomato leaf gas exchange model.
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| CN202210712914.5A CN115032219A (en) | 2022-06-22 | 2022-06-22 | Method and system for detecting tomato growth and quality influence factors under high-temperature stress |
| ZA2022/08308A ZA202208308B (en) | 2022-06-22 | 2022-07-26 | Method for detecting factors affecting tomato growth and quality under high temperature stress |
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| CN202210712914.5A CN115032219A (en) | 2022-06-22 | 2022-06-22 | Method and system for detecting tomato growth and quality influence factors under high-temperature stress |
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