CN110731191B - Selection method of stress-resistant crop varieties based on electrophysiological characteristics - Google Patents

Selection method of stress-resistant crop varieties based on electrophysiological characteristics Download PDF

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CN110731191B
CN110731191B CN201911030271.0A CN201911030271A CN110731191B CN 110731191 B CN110731191 B CN 110731191B CN 201911030271 A CN201911030271 A CN 201911030271A CN 110731191 B CN110731191 B CN 110731191B
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吴沿友
张承
苏跃
吴沿胜
方蕾
李海涛
吴明开
王瑞
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Abstract

The invention discloses a method for selecting a stress-resistant crop variety based on electrophysiological characteristics, and belongs to the technical field of crop breeding. The physiological capacitance, the physiological resistance and the physiological impedance of the crop leaves under different clamping forces are measured, and the physiological capacitance and the physiological impedance of the crop leaves are further calculated; respectively constructing physiological capacitance, physiological resistance, physiological impedance, physiological capacitive reactance and physiological inductive reactance of the crop leaves along with the change of the clamping force, calculating the specific effective thickness, inherent physiological resistance, inherent physiological impedance, inherent physiological capacitive reactance and inherent physiological inductive reactance of the crop leaves by using the parameters of the models, further calculating the metabolic energy of the cells of the crop leaves, the relative water holding time of the crop, the low nutrition resistance of the crop and the nutrient utilization efficiency of the crop, normalizing the indexes, comprehensively evaluating the score of each sample to be tested, and comparing the quality of the variety to be tested by using the quantitative height of the comprehensive score average value.

Description

Selection method of stress-resistant crop varieties based on electrophysiological characteristics
Technical Field
The invention belongs to the technical field of crop breeding, and particularly relates to a selection method of stress-resistant crop varieties based on electrophysiological characteristics, which can quickly and quantitatively detect the comprehensive capacities of substance metabolism and energy metabolism of different crops on line, screen high-yield stress-resistant crop varieties, has comparability of the determined result, can also use biophysical indexes to represent the adaptive characteristics of different crops to drought and low nutrition, greatly improves the selection efficiency of the crop varieties, reduces the cost, provides technical support for intelligent breeding, and is an important component of intelligent agriculture.
Background
The stress-resistant crop variety refers to a crop variety which can obtain high yield in a stress environment, and the common stress-resistant variety has the characteristics of both high yield and stress resistance, namely the crop variety with high yield, drought resistance, low nutrient tolerance and higher nutrient efficiency. The conventional method for selecting stress-resistant crop varieties not only needs specific stress conditions, but also needs to measure a plurality of growth and development indexes and physiological and biochemical indexes, needs long time and large workload, greatly reduces the selection efficiency, and has no repeatability of results and no comparability of different materials. Particularly, when strains are compared, the yield and stress resistance information of the strains can be obtained only when the strains are harvested, and serious influence is brought to propagation and generation-adding.
The crop electrophysiological information is on-line instant information, the leaves are the most important functional organs of crops, are most sensitive to energy metabolism and substance metabolism including water metabolism and nutrient element metabolism, and play a very important role in the growth and development of crops. The energy metabolism and the substance metabolism of crops can be represented by the instant on-line leaf electrophysiological information, so that the crop variety selection efficiency is greatly improved, and the cost is reduced.
The leaves of fully expanded leaves are all mature leaves, their cells all have a central vacuole, in mesophyll cells, the vacuole and cytoplasm occupy most of the space in the cell, and their water absorption mode is mainly osmotic water absorption. Whether a cell or an organelle, they are externally coated with a cell membrane. The cell membrane mainly comprises lipid (mainly phospholipid) (accounting for about 50% of the total amount of the cell membrane), protein (accounting for about 40% of the total amount of the cell membrane), carbohydrate (accounting for about 2% -10% of the total amount of the cell membrane) and the like; wherein the main components are protein and lipid. The phospholipid bilayer is the basic scaffold that constitutes the cell membrane. Under an electron microscope, the membrane can be divided into three layers, namely an electronic dense band (hydrophilic part) with the thickness of about 2.5nm is respectively arranged at the inner side and the outer side of the membrane, and a transparent band (hydrophobic part) with the thickness of 2.5nm is clamped in the middle. Thus, the cell (apparatus) can be regarded as a concentric sphere capacitor, but this capacitor becomes a complex capacitor having both the inductor and the resistor functions due to the peripheral and intrinsic proteins on the membrane. Thus, the electrophysiological properties of the crop leaf cells are closely related to the metabolism of matter and energy in the crop leaf.
The LCR can measure the physiological indexes of the leaves, such as physiological resistance, physiological capacitance, physiological impedance and the like. According to the invention, electrophysiological indexes are adopted to represent metabolic energy of leaf cells of crops, relative water holding time of the crops, low nutrition resistance of the crops and nutrition utilization efficiency of the crops, the comprehensive capacities of metabolism and energy metabolism of different crop substances are rapidly and quantitatively detected on line, and according to the comprehensive capacities of metabolism and energy metabolism of different crop substances, not only can high-yield stress-resistant crop varieties be screened, but also the selection efficiency of the crop varieties is greatly improved, the cost is reduced, and a technical support is provided for intelligent breeding; and the adaptation characteristics of different crops to drought and low nutrition can be characterized by biophysical indexes, so that technical support is provided for screening karst probiotics.
Disclosure of Invention
The invention aims to provide a method for selecting a stress-resistant crop variety based on electrophysiological characteristics, which fills the blank of comprehensively representing the high-yield stress-resistant characteristics of crops by using biophysical indexes and provides technical support for intelligent breeding; and the adaptation characteristics of different crops to drought and low nutrition can be characterized by biophysical indexes, so that technical support is provided for screening karst probiotics.
In order to solve the technical problems, the invention adopts the following specific technical scheme:
a method for selecting stress-resistant crop varieties based on electrophysiological characteristics comprises the following steps:
planting crop materials to be detected in the same environment, and taking plants in a growth period as determination materials;
connecting the measuring device with an LCR tester;
collecting leaves to be detected at different leaf positions from different plants to be detected, and soaking the leaves in distilled water;
step four, sucking water on the surface of the leaf, immediately clamping the leaf to be measured between parallel electrode plates of a measuring device, setting measuring voltage and frequency, setting different clamping forces by changing the mass of an iron block, and simultaneously measuring physiological capacitance, physiological resistance and physiological impedance of the crop leaf under different clamping forces in a parallel mode;
calculating physiological capacitive reactance according to the physiological capacitance of the crop leaves;
step six, calculating physiological inductive reactance of the crop leaves according to physiological resistance, physiological impedance and physiological capacitive reactance of the crop leaves;
constructing a model of the physiological capacitance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step eight, constructing a model of physiological resistance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
constructing a model of physiological impedance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
constructing a model of the physiological capacitive reactance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step eleven, constructing a model of physiological inductive resistance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step twelve, acquiring the specific effective thickness d of the crop leaves according to the parameters in the model in the step seven;
thirteen, acquiring intrinsic physiological resistance IR of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological resistance according to the parameters in the model in the eighth stepR-E
Fourteen, acquiring inherent physiological impedance IZ of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological impedance according to the parameters in the model in the step nineZ-E
Fifthly, acquiring inherent physiological capacitive reactance IXC of the crop leaves and physiological capacitive reactance-based metabolic energy delta G of the crop leaf cell unit according to the parameters in the model in the step tenXc-E
Sixthly, acquiring inherent physiological inductive reactance IXL of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological inductive reactance according to the parameters in the model in the step elevenLc-E
Seventhly, calculating the intrinsic physiological capacitance ICP of the crops according to the intrinsic physiological capacitive reactance IXC of the crops;
eighteen, obtaining relative water retention time RTwm of the crops based on the electrophysiological parameters according to the intrinsic physiological capacitance ICP and the intrinsic physiological impedance IZ of the leaves of the crops;
nineteenth, obtaining the nutrition active transport capacity NAT and the passive transport capacity NPT of the crop leaves based on electrophysiological parameters according to the intrinsic physiological resistance IR, the intrinsic physiological capacitive reactance IXC and the intrinsic physiological inductive reactance IXL of the leaves;
twenty, acquiring crop low-nutrition-tolerance RLN and nutrition utilization efficiency NUE according to the crop leaf nutrition active transport capacity NAT and the passive transport capacity NPT based on the electrophysiological parameters;
twenty one, comparing the metabolic energy delta G of the crop leaf cell unit based on the physiological resistanceR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-EIf the four samples with insignificant difference are effective samples, the data of the leaf is included in the investigation, otherwise, the data is rejected;
twenty-two, based on effective sample, physiological resistance based metabolic energy delta G of crop leaf cell unitR-EAnd the specific effective thickness d of the crop leaves, and obtaining the metabolic energy delta G of the crop leaf cells;
twenty-three steps, normalizing the data of the relative water retention time RTwm of the crops, the RLN of the low nutrition resistance capability of the crops, the NUE of the nutrition utilization efficiency and the delta G of the metabolic energy of the cells of the leaves of the crops based on the electrophysiological parameters to obtain the normalized relative water retention time RTwm of the crops, the RLN of the low nutrition resistance capability of the crops, the NUE of the nutrition utilization efficiency and the delta G of the metabolic energy of the cells of the leaves of the crops based on the electrophysiological parameters, and respectively using the RTR、RLNR、NUER、GRRepresents;
twenty-four steps according to RTR、RLNR、NUERAnd GRObtaining variety comprehensive scores S of effective samples of different plants and different leaf positions of a material to be detected;
and twenty-five steps of obtaining the comprehensive grade average value SM of each variety of the material to be detected, quantitatively comparing the quality of the varieties according to the SM size, and taking the high-grade material as the stress-resistant crop variety to be selected.
Further, in the first step, the crop material to be tested needs to be planted in the same environment, and the tested material is a plant which is larger than 5 leaves and is in a growth period;
further, the setting method of the different clamping forces in the fourth step is as follows: by adding iron blocks of different masses, according to the formula of gravilogy: calculating clamping force F as (M + M) g, wherein F is the clamping force and has the unit of N; m is the mass of the iron block, and M is the mass of the plastic rod and the electrode slice, kg; g is an acceleration of gravity of 9.8N/kg.
Further, in the fifth step, a calculation formula of the physiological capacitive reactance of the crop leaves is as follows:
Figure BDA0002249947320000041
wherein Xc is the physiological capacitive reactance of the crop leaves, C is the physiological capacitance of the crop leaves, f is the test frequency, and pi is the circumference ratio equal to 3.1416.
Further, in the sixth step, a calculation formula of physiological inductive reactance of the crop leaves is as follows:
Figure BDA0002249947320000042
wherein Xl is physiological inductive reactance of the crop leaves, Xc is physiological capacitive reactance of the crop leaves, Z is physiological impedance of the crop leaves, and R is physiological resistance of the crop leaves.
Further, in the seventh step, the change equation of the physiological capacitance Cp of the crop leaf with the clamping force F is as follows:
Figure BDA0002249947320000043
wherein, Delta H is the internal energy of the system, U is the test voltage, and d is the specific effective thickness of the crop leaves; order to
Figure BDA0002249947320000044
The change equation may be transformed into Cp ═ x0+ hF; wherein x0And h is a model parameter.
Further, in the eighth step, the physiological resistance of the crop leaf changes along with the clamping force,
Figure BDA0002249947320000045
Figure BDA0002249947320000046
the model is based on the Nernst equation
Figure BDA0002249947320000047
Derived, wherein R is resistance, E is electromotive force, E is0Is a standard electromotive force, R0Is an ideal gas constant, T is temperature, CiConcentration of dielectric substances, C, in response to physiological resistance in cell membranesoConcentration of dielectric substances in response to physiological resistance outside cell membrane, f0Concentration C of dielectric substance responsive to physiological resistance in cell membraneiProportional coefficient converted from physiological resistance, total dielectric substance C of intra-membrane and extra-membrane response physiological resistanceT=Ci+Co,F0Is the Faraday constant, nRIs the number of dielectric mass transfers in response to physiological resistance; e can be used for doing work, PV is proportional to PV (a is aE), a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by a pressure formula
Figure BDA0002249947320000048
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure BDA0002249947320000049
the deformation is as follows:
Figure BDA00022499473200000410
and is further transformed into
Figure BDA00022499473200000411
Due to the specific effective thickness of the crop leaves
Figure BDA00022499473200000413
Therefore, the temperature of the molten metal is controlled,
Figure BDA00022499473200000412
Figure BDA00022499473200000414
the deformation is as follows:
Figure BDA00022499473200000415
order to
Figure BDA00022499473200000416
The model of the physiological resistance of the crop leaf changing along with the clamping force can be deformed into
Figure BDA00022499473200000417
Wherein y is1、k1And b1Are parameters of the model.
Further, in the ninth step, the physiological impedance of the crop leaf changes along with the clamping force,
Figure BDA00022499473200000418
Figure BDA00022499473200000419
the model is based on the Nernst equation
Figure BDA00022499473200000420
Derived, wherein Z is impedance, E is electromotive force, E is0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, QiDielectric substance concentration, Q, in response to physiological impedance within the cell membraneoConcentration of dielectric substances in response to physiological impedance outside cell membrane, J0Is a dielectric substance concentration in response to physiological impedance in cell membranesDegree QiThe ratio coefficient of conversion between the impedance and the total quantity Q of dielectric substances responding to physiological impedance inside and outside the membranei+Qo,F0Is the Faraday constant, nZIs the number of dielectric mass transfers in response to physiological impedance; e can be used for doing work, PV is proportional to PV (a is aE), a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by a pressure formula
Figure BDA0002249947320000051
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure BDA0002249947320000052
the deformation is as follows:
Figure BDA0002249947320000053
and is further transformed into
Figure BDA0002249947320000054
Due to the specific effective thickness of the crop leaves
Figure BDA0002249947320000056
Therefore, the temperature of the molten metal is controlled,
Figure BDA0002249947320000055
Figure BDA0002249947320000057
the deformation is as follows:
Figure BDA0002249947320000058
order to
Figure BDA0002249947320000059
The model of the physiological impedance of the crop leaf changing along with the clamping force can be deformed into
Figure BDA00022499473200000510
Wherein y is2、k2And b2As parameters of the modelAnd (4) counting.
Further, in the step ten, the physiological volume resistance of the crop leaves changes along with the clamping force,
Figure BDA00022499473200000511
Figure BDA00022499473200000512
the model is based on the Nernst equation
Figure BDA00022499473200000513
Deduced, wherein Xc is capacitive reactance, E is electromotive force, E0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, XiConcentration of dielectric substances, X, in response to physiological capacitive impedance within cell membranesoConcentration of dielectric substances, L, in response to physiological capacitive reactance outside the cell membrane0Concentration X of dielectric substance responsive to physiological capacitive impedance in cell membraneiThe ratio coefficient of conversion between the dielectric substance and the physiological capacitive reactance, and the total amount of the dielectric substance X which responds to the physiological capacitive reactance inside and outside the membrane is Xi+Xo,F0Is the Faraday constant, nXCIs the number of dielectric mass transfers in response to physiological capacitive reactance; e can be used for doing work, PV is proportional to PV (a is aE), a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by a pressure formula
Figure BDA00022499473200000514
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure BDA00022499473200000515
the deformation is as follows:
Figure BDA00022499473200000516
Figure BDA00022499473200000517
and is further transformed into
Figure BDA00022499473200000518
Due to the specific effective thickness of the crop leaves
Figure BDA00022499473200000519
Therefore, the temperature of the molten metal is controlled,
Figure BDA00022499473200000520
the deformation is as follows:
Figure BDA00022499473200000522
order to
Figure BDA00022499473200000521
Figure BDA00022499473200000523
The model of the physiological capacitance of the crop leaf changing along with the clamping force can be deformed into
Figure BDA00022499473200000524
Wherein y is3、k3And b3Are parameters of the model.
Further, in the eleventh step, the physiological inductive reactance of the crop leaves changes along with the clamping force,
Figure BDA00022499473200000525
Figure BDA00022499473200000526
the model is based on the Nernst equation
Figure BDA00022499473200000527
Deduced, wherein Xl is inductive reactance, E is electromotive force, E0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, MiDielectric concentration, M, in response to physiological inductance within the cell membraneoConcentration of dielectric substances, P, in response to physiological susceptibilities outside the cell membrane0Dielectric substance concentration M being responsive to physiological inductive reactance in cell membraneiProportional coefficient converted from physiological inductive reactance, and physiological inductive reactance responded in vitro and in membraneTotal amount M of dielectric substanceT=Mi+Mo,F0Is the Faraday constant, nXLIs the number of dielectric mass transfers in response to physiological inductance; e can be used for doing work, PV is proportional to PV (a is aE), a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by a pressure formula
Figure BDA00022499473200000624
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure BDA0002249947320000061
the deformation is as follows:
Figure BDA0002249947320000062
Figure BDA0002249947320000063
and is further transformed into
Figure BDA0002249947320000067
Due to the specific effective thickness of the crop leaves
Figure BDA0002249947320000064
Therefore, the temperature of the molten metal is controlled,
Figure BDA0002249947320000065
the deformation is as follows:
Figure BDA0002249947320000066
order to
Figure BDA0002249947320000068
The model of the physiological inductive reactance of the crop leaf changing along with the clamping force can be deformed into
Figure BDA0002249947320000069
Wherein y is4、k4And b4Are parameters of the model.
Further, the step tenIn the second step, the method for obtaining the specific effective thickness d of the crop leaf according to the parameters in the model in the seventh step comprises the following steps: will be provided with
Figure BDA00022499473200000610
Is deformed into
Figure BDA00022499473200000611
And calculating the specific effective thickness d of the crop leaves according to the h and the test voltage U.
Further, in the thirteenth step, according to the parameters in the model in the eighth step, the method for obtaining the inherent resistance of the crop leaf comprises: y is IR1+k1(ii) a Physiological resistance-based metabolic energy delta G of crop leaf cell unitR-EThe method comprises the following steps: the method of claim 7
Figure BDA00022499473200000612
And
Figure BDA00022499473200000613
performing deformation operation to obtain the metabolic energy of the crop leaf cells based on physiological resistance
Figure BDA00022499473200000614
Further, in the fourteenth step, according to the parameters in the model in the ninth step, the method for obtaining the inherent physiological impedance IZ of the crop leaf comprises: IZ ═ y2+k2(ii) a Physiological impedance based metabolic energy delta G of crop leaf cell unitZ-EThe method comprises the following steps: will be described in
Figure BDA00022499473200000615
And
Figure BDA00022499473200000616
performing deformation operation to obtain the metabolic energy of the crop leaf cells based on physiological impedance
Figure BDA00022499473200000617
Go toIn the fifteenth step, according to the parameters in the model in the tenth step, the method for obtaining the intrinsic physiological capacitive reactance IXC of the crop leaves comprises the following steps: IXC ═ y3+k3(ii) a Physiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EThe method comprises the following steps: will be described in
Figure BDA00022499473200000618
And
Figure BDA00022499473200000619
performing deformation operation to obtain the metabolic energy of the leaf cell unit of the crop based on the physiological capacitive reactance
Figure BDA00022499473200000620
Further, in the sixteenth step, the method for obtaining the intrinsic physiological inductive reactance IXC of the crop leaf according to the parameters in the eleventh step model comprises the following steps: ixl ═ y4+k4(ii) a Physiological-inductance-based metabolic energy delta G of leaf cell unit of cropLc-EThe method comprises the following steps: will be described in
Figure BDA00022499473200000621
And
Figure BDA00022499473200000622
performing deformation operation to obtain the metabolic energy delta of the crop leaf cell unit based on physiological inductance
Figure BDA00022499473200000623
Further, in the seventeenth step, the method for calculating the intrinsic physiological capacitance ICP according to the intrinsic physiological capacitance IXC includes:
Figure BDA0002249947320000071
wherein IXC is the inherent physiological capacitive reactance of the crop leaves, ICP is the inherent physiological capacitance, f is the test frequency, and pi is the circumference ratio equal to 3.1416.
Further, in the eighteen steps, according to the intrinsic physiological capacitance ICP and the intrinsic physiological impedance IZ of the crop leaf, a calculation formula of the relative water retention time RTwm of the crop based on the electrophysiological parameters is obtained as follows: RTwm ═ ICP × IZ.
Further, the calculation formula of the crop leaf nutrition active transfer capacity NAT based on the electrophysiological parameters in the step nineteen is as follows:
Figure BDA0002249947320000072
the calculation formula of the crop leaf nutrition passive transport capacity NPT based on the electrophysiological parameters comprises the following steps:
Figure BDA0002249947320000073
the calculation method of the crop low nutrition tolerance RLN in the step twenty comprises the following steps:
Figure BDA0002249947320000074
unit%; the method for calculating the NUE of the crop nutrition utilization efficiency comprises the following steps:
Figure BDA0002249947320000075
and has no unit.
Further, in the twenty-first step, the physiological resistance-based metabolic energy Δ G of the leaf cells of the crops is comparedR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-EComparing the same sample, and taking the sample with the difference of not more than 10% as an effective sample through statistical test;
further, the physiological resistance based metabolic energy Δ G of the crop leaf cell unit in the twenty-two steps is based on effective samplesR-EAnd the specific effective thickness d of the crop leaf, and the formula for obtaining the metabolic energy delta G of the crop leaf cells is as follows: Δ G ═ Δ GR- Ed。
Further, in the twenty-third step, the method for normalizing the data of the relative water retention time RTwm of the crop, the low nutrition resistance RLN of the crop, the nutrition utilization efficiency NUE and the metabolic energy Δ G of the leaf cells of the crop based on the electrophysiological parameters comprises the following steps:
Figure BDA0002249947320000076
where N is the normalized value, N stands for RT if the relative water retention time RTwm of the crop based on the electrophysiological parameter is normalizedR,NiThen the relative crop water retention time RTwm, N based on the electrophysiological parameter representing each valid samplemaxThe maximum value, N, of the relative retention time RTwm of the crop based on the electrophysiological parameter representing all valid samplesminRepresenting the minimum value of the relative water retention time RTwm of all effective samples of crops based on the electrophysiological parameters, wherein the value of delta is between 0 and 0.8 according to the actual condition of the detected sample; if the RLN of the low nutrition tolerance of the crops is normalized, the N represents the RLNR,NiThen represents the crop's low nutrient tolerance RLN, N of each valid samplemaxThen represents the maximum value of the crop's low nutrient tolerance RLN for all valid samples, NminThe minimum value of the crop low nutrition tolerance RLN of all effective samples is represented, and the value of delta is between 0 and 0.8 according to the actual condition of the detected sample; by analogy, the nutrition utilization efficiency NUE and the metabolic energy delta G of the crop leaf cells can be normalized;
further, in twenty-four of the steps is according to RTR、RLNR、NUERAnd GRThe method for obtaining the variety comprehensive score S of the effective samples of different leaf positions of different plants of the material to be detected comprises the following steps:
Figure BDA0002249947320000077
the invention has the following beneficial effects:
1. the invention can rapidly and quantitatively detect the specific effective thickness of different crop leaves, the inherent physiological impedance, the inherent physiological capacitive reactance, the inherent physiological capacitance, the inherent physiological inductive reactance, the metabolic energy of crop leaf cells, the relative water retention time of crops, the low nutrition tolerance of crops and the utilization efficiency of crop nutrition on line, and the detection result is not changed due to the change of the detection condition and has comparability.
2. The biophysical indexes are used for representing the adaptive characteristics of different crops to drought and low nutrition, and technical support is provided for screening karst volunteer plants.
3. The invention uses electrophysiological indexes to represent metabolic energy of crop leaf cells, relative water retention time of crops, low nutrition tolerance of crops and nutrient utilization efficiency of crops, and can rapidly and quantitatively detect the comprehensive capacity of metabolism and energy metabolism of different crop substances on line.
4. According to the invention, high-yield stress-resistant crop varieties are screened according to the comprehensive capabilities of different crop substance metabolism and energy metabolism, the crop variety selection efficiency is greatly improved, the cost is reduced, and a technical support is provided for intelligent breeding.
5. The invention is simple, fast, short in time, small in workload, wide in applicability and low in cost of required instruments.
Drawings
FIG. 1 is a schematic view of the structure of an assay device according to the present invention;
in the figure: 1. a support; 2. a foam board; 3. an electrode plate; 4. an electrical lead; 5. an iron block; 6. a plastic rod; 7. and (4) fixing clips.
Detailed Description
The invention is further described with reference to the following figures and examples.
The basic principle of the invention is as follows:
from the formula of gravimetry:
F=(M+m)g (1)
wherein F is gravity (clamping force), N; m is the mass of the iron block, and M is the mass of the plastic rod and the electrode slice, kg; g is the acceleration of gravity of 9.8, N/kg.
The cytosol in the leaf is used as a dielectric medium, and the leaf is clamped between two parallel plate capacitor plates of a parallel plate capacitor to form the parallel plate capacitance sensor. The physiological capacitance of the crop leaf under different clamping forces is obtained by adding iron blocks with certain mass, and different pressures can lead to different changes of the concentration of the cytosol in the leaf, so that the elasticity and plasticity of leaf cells are changed, the change of the cytosol dielectric constant of leaf tissue between two capacitor plates is caused, and the electrophysiological indexes of the physiological capacitance of the crop and the like are influenced.
The calculation formula of the physiological capacitive reactance of the crop leaves is as follows:
Figure BDA0002249947320000081
wherein Xc is the physiological capacitive reactance of the crop leaves, C is the physiological capacitance of the crop leaves, f is the test frequency, and pi is the circumference ratio equal to 3.1416.
The physiological resistance, physiological impedance and physiological capacitance of the crop leaves are measured in a parallel mode; therefore, the calculation formula of the physiological inductive reactance of the crop leaf is as follows:
Figure BDA0002249947320000094
wherein Xl is physiological inductive reactance of the crop leaves, Xc is physiological capacitive reactance of the crop leaves, Z is physiological impedance of the crop leaves, and R is physiological resistance of the crop leaves.
The water content of the crop cells is related to the elasticity of the crop leaf cells, and under different clamping forces, the physiological capacitance of different crops is different.
The gibbs free energy equation is expressed as Δ G ═ Δ H + PV, and the energy equation of the capacitor is expressed as
Figure BDA0002249947320000095
W is the energy of the capacitor, equal to the work converted by gibbs free energy Δ G, i.e., W ═ Δ G; Δ H is the internal energy of the system (the crop leaf system consisting of cells), P is the pressure to which the crop cells are subjected, V is the crop cell volume, U is the test voltage, and C is the physiological capacitance of the crop leaf;
the pressure P to which the crop cells are subjected can be determined by a pressure formula:
Figure BDA0002249947320000096
wherein F is the clamping force, and S is the effective area under the action of the polar plate;
the change model of physiological capacitance C of the crop leaf along with the clamping force F is as follows:
Figure BDA0002249947320000091
assuming that d represents the specific effective thickness of the crop leaf, then
Figure BDA00022499473200000910
(2) The formula can be deformed into:
Figure BDA0002249947320000092
order to
Figure BDA0002249947320000097
(3) The formula can be deformed into:
C=x0+hF (4)
(4) formula (II) is a linear model, where x0And h is a model parameter.
Due to the fact that
Figure BDA0002249947320000098
Thus, it is possible to provide
Figure BDA0002249947320000099
Since the resistive current is caused by the dielectric substance, it is determined by factors such as the degree of permeability of the film to various dielectric substances and the presence or absence of a large amount of the dielectric substance. The external excitation changes the permeability of the dielectric substance, the concentration of the internal and external dielectric substances is influenced, the concentration difference of the internal and external dielectric substances obeys a Nernst equation, the physiological resistance is inversely proportional to the conductivity, and the conductivity is directly proportional to the concentration of the dielectric substance in the cell, so that the relationship between the physiological resistance of the cell and the external excitation can be deduced.
The water content of the crop cells is related to the elasticity of the crop leaf cells, and under different clamping forces, the permeability of different crop cell membranes is changed differently, so that the physiological resistance of the crop cell membranes is different.
The expression of the nernst equation is as shown in equation (5):
Figure BDA0002249947320000093
wherein E is electromotive force; e0Is a standard electromotive force; r0Is an ideal gas constant equal to 8.314570J.K-1.mol-1T is temperature, in K; ciConcentration of dielectric substances, C, in response to physiological resistance in cell membranesoThe concentration of the dielectric substance responding to the physiological resistance outside the cell membrane and the total amount C of the dielectric substance responding to the physiological resistance inside and outside the cell membraneT=Ci+Co,F0Is the Faraday constant, equal to 96485C.mol-1;nRIs the number of dielectric material transitions in mol in response to physiological resistance.
The internal energy of electromotive force E can be converted into pressure to do work, and PV is proportional to PV a E, that is:
Figure BDA0002249947320000101
wherein: p is the pressure of the crop cells, a is the electromotive force conversion energy coefficient, and V is the volume of the crop cells;
the pressure P to which the crop cells are subjected can be determined by a pressure formula:
Figure BDA0002249947320000109
wherein F is the clamping force, and S is the effective area under the action of the polar plate;
in mesophyllic cells, the vacuole and the cytoplasm occupy the vast majority of the intracellular space. For mesophyllic cells, CoAnd CiThe sum is constant and equal to the total amount C of dielectric substances responding to physiological resistance inside and outside the membraneT,CiIt is proportional to the conductivity, which is the inverse of the resistance R, and, therefore,
Figure BDA00022499473200001010
can be expressed as
Figure BDA00022499473200001011
Wherein R is resistance, f0Is a dielectric substance responding to physiological resistance in cell membraneConcentration CiAnd the proportionality coefficient of the conversion between resistance, therefore, (6) can become:
Figure BDA0002249947320000102
(7) is transformed to obtain
Figure BDA0002249947320000103
(8) Is transformed to obtain
Figure BDA0002249947320000104
(9) The two sides of the formula are taken as indexes and can be changed into:
Figure BDA0002249947320000105
further modified, it is possible to obtain:
Figure BDA0002249947320000106
r in formula (11) is physiological resistance due to the specific effective thickness of the crop leaves
Figure BDA00022499473200001012
(11) The formula can be deformed into:
Figure BDA0002249947320000107
d, a and E in formula (12) for the same blade to be tested in the same environment0、R0、T、nR、F0、CT、f0Are all constant values; order to
Figure BDA00022499473200001013
Thus, equation (12) can be transformed as:
Figure BDA0002249947320000108
(13) in the formula y1、k1And b1Are parameters of the model. When F is 0 and is substituted into the formula (13), the crop leaf intrinsic physiological resistance IR is obtained: y is IR1+k1. Will be provided with
Figure BDA0002249947320000113
And
Figure BDA0002249947320000114
performing deformation operation to obtain the metabolic energy of the crop leaf cells based on physiological resistance
Figure BDA0002249947320000115
Physiological resistance-based metabolic energy delta G of crop leaf cellsR=ΔGR-Ed。
In the impedance measurement of the same object under the same environment, the impedance mainly depends on the concentration of dielectric substances responding to physiological impedance inside and outside the membrane, so the permeability and the water content of the membrane to various dielectric substances responding to physiological impedance determine the cell impedance, and for the leaf, the impedance further depends on the concentration of the dielectric substances responding to physiological impedance inside and outside the membrane. The external excitation changes the membrane permeability of the dielectric substance, the concentration of the dielectric substance responding to the physiological impedance inside and outside the membrane is influenced, the concentration difference of the dielectric substance responding to the physiological impedance inside and outside the membrane also obeys Nernst equation, and when the concentration of the dielectric substance responding to the physiological impedance outside the membrane is constant, the physiological impedance is inversely proportional to the concentration of the dielectric substance responding to the physiological impedance inside the cell, so that the relation between the physiological impedance of the cell and the external excitation can be deduced.
The amount of water in crop leaf cells is related to the elasticity of crop leaf cells, and under different clamping forces, the permeability of dielectric substances responding to physiological impedance of different crop cell membranes is changed differently, so that the physiological impedance is different.
The expression of the nernst equation is as in equation (14):
Figure BDA0002249947320000111
wherein E is electromotive force, E0Is a standard electromotive force, R0Is an ideal gas constant equal to 8.314570J.K-1.mol-1(ii) a T is temperature, in K; qiDielectric substance concentration, Q, in response to physiological impedance within the cell membraneoThe total amount of dielectric substance Q ═ Q in response to physiological impedance outside the cell membranei+Qo,F0Is the Faraday constant, equal to 96485C.mol-1;nZIs the number of dielectric mass transfers in mol in response to physiological impedance.
The internal energy of electromotive force E can be converted into pressure to do work, and PV is proportional to PV a E, that is:
Figure BDA0002249947320000112
wherein: p is the pressure to which the crop cells are subjected, a is the electromotive force conversion energy coefficient, and V is the crop cell volume;
the pressure P to which the crop cells are subjected can be determined by a pressure formula:
Figure BDA0002249947320000116
wherein F is the clamping force and S is the effective area under the action of the polar plate;
in mesophyllic cells, the vacuole and the cytoplasm occupy the vast majority of the intracellular space. For mesophyll cells, QoAnd QiThe sum is constant and equal to the total amount of dielectric substances Q, Q responding to physiological impedance inside and outside the membraneiIt is proportional to the conductivity of the dielectric substance in response to the physiological impedance, which is the inverse of the impedance Z, and, therefore,
Figure BDA0002249947320000117
can be expressed as
Figure BDA0002249947320000128
Z is the impedance, J0Dielectric substance concentration Q being the response of physiological impedance in cell membraneiAnd impedance, and therefore (15) can become:
Figure BDA0002249947320000121
(16) is transformed to obtain
Figure BDA0002249947320000122
(17) Can become:
Figure BDA0002249947320000123
(18) the two sides of the formula are taken as indexes and can be changed into:
Figure BDA0002249947320000124
further modified, it is possible to obtain:
Figure BDA0002249947320000125
z in the formula (20) is physiological impedance, because
Figure BDA0002249947320000129
(20) The formula can be deformed into:
Figure BDA0002249947320000126
for the same blade to be measured in the same environment, the formula (21) is shown in the specification, wherein d, a and E0、R0、T、nZ、F0、Q、J0Are all constant values, order
Figure BDA00022499473200001210
Therefore, equation (21) can be transformed into:
Figure BDA0002249947320000127
(22) in the formula y2、k2And b2Are parameters of the model. When F is substituted into 0 in the formula (22), the inherent physiological impedance IZ of the crop leaf is obtained: IZ ═ y2+k2(ii) a Will be provided with
Figure BDA00022499473200001211
And
Figure BDA00022499473200001212
performing deformation operation to obtain the metabolic energy of the crop leaf cells based on physiological impedance
Figure BDA00022499473200001213
In the capacitive reactance measurement of the same object under the same environment, the capacitive reactance mainly depends on the concentration of dielectric substances responding to physiological capacitive reactance inside and outside the membrane, so the permeability of the membrane to various dielectric substances responding to physiological capacitive reactance determines the size of the cellular capacitive reactance, and for the leaf, the capacitive reactance further depends on the concentration of the dielectric substances responding to physiological capacitive reactance inside and outside the membrane. The external excitation changes the membrane permeability of the dielectric substance, the concentration of the dielectric substance responding to the physiological capacitive reactance inside and outside the membrane is influenced, the concentration difference of the dielectric substance responding to the physiological capacitive reactance inside and outside the membrane also obeys Nernst equation, and when the concentration of the dielectric substance responding to the physiological capacitive reactance outside the membrane is constant, the physiological capacitive reactance is inversely proportional to the concentration of the dielectric substance responding to the physiological capacitive reactance inside the cell, so that the relation between the physiological capacitive reactance inside the cell and the external excitation can be deduced.
The amount of water in crop cells is related to the elasticity of crop leaf cells, and under different clamping forces, the permeability of dielectric substances responding to physiological capacitive reactance of different crop cell membranes is changed differently, so that the physiological capacitive reactance is different.
The expression of the nernst equation is as in equation (23):
Figure BDA0002249947320000131
wherein E is electromotive force, E0Is a standard electromotive force, R0Is an ideal gas constant equal to 8.314570J.K-1.mol-1(ii) a T is temperature, in K; xiConcentration of dielectric substances, X, in response to physiological capacitive impedance within cell membranesoThe total amount of dielectric substances X ═ X for responding to physiological capacitive impedance outside the cell membrane and responding to physiological capacitive impedance outside the cell membranei+Xo,F0Is the Faraday constant, equal to 96485C.mol-1;nXCIs the number of dielectric material transitions in mol in response to physiological capacitive reactance.
The internal energy of electromotive force E can be converted into pressure to do work, and PV is proportional to PV a E, that is:
Figure BDA0002249947320000132
wherein: p is the pressure to which the crop cells are subjected, a is the electromotive force conversion energy coefficient, and V is the crop cell volume;
the pressure P to which the crop cells are subjected can be determined by a pressure formula:
Figure BDA0002249947320000139
wherein F is the clamping force and S is the effective area under the action of the polar plate;
in mesophyllic cells, the vacuole and the cytoplasm occupy the vast majority of the intracellular space. For mesophyllic cells, XoAnd XiThe sum is constant, etcTotal amount of dielectric substance X, X in response to physiological capacitive impedance inside and outside membraneiIs proportional to the conductivity of the dielectric material responsive to the physiological capacitive impedance, which is the inverse of the capacitive impedance Xc, and, therefore,
Figure BDA00022499473200001310
can be expressed as
Figure BDA00022499473200001311
Xc is capacitive reactance, L0Concentration X of dielectric substance responsive to physiological capacitive impedance in cell membraneiThe proportionality coefficient for the conversion between the physiological capacitive reactance, therefore, (24) can become:
Figure BDA0002249947320000133
(25) is transformed to obtain
Figure BDA0002249947320000134
(26) Can become:
Figure BDA0002249947320000135
(27) the two sides of the formula are taken as indexes and can be changed into:
Figure BDA0002249947320000136
further modified, it is possible to obtain:
Figure BDA0002249947320000137
xc in formula (29) is a physiological capacitive reactance due to the specific effective thickness of the crop leaves
Figure BDA00022499473200001312
(29) The formula can be deformed into:
Figure BDA0002249947320000138
for the same blade to be measured in the same environment, (30) formula, wherein d, a and E0、R0、T、nXC、F0、X、L0Are all constant values, order
Figure BDA0002249947320000144
Thus, equation (30) can be transformed as:
Figure BDA0002249947320000141
(31) in the formula y3、k3And b3Are parameters of the model. When F is substituted into the formula (31) as 0, the inherent physiological capacitive reactance IXC of the crop leaves is obtained: IXC ═ y3+k3(ii) a The capacitance converted from the intrinsic physiological capacitance IXC of the crop leaves at the moment is the intrinsic physiological capacitance ICP. The formula for converting the intrinsic physiological capacitive reactance into the intrinsic physiological capacitance is as follows:
Figure BDA0002249947320000145
wherein IXC is the inherent physiological capacitive reactance of the crop leaves, ICP is the inherent physiological capacitance, f is the test frequency, and pi is the circumference ratio equal to 3.1416. Will be provided with
Figure BDA0002249947320000146
Figure BDA0002249947320000147
And
Figure BDA0002249947320000148
performing deformation operation to obtain the metabolic energy of the leaf cell unit of the crop based on the physiological capacitive reactance
Figure BDA0002249947320000149
Similarly, the permeability of the dielectric substance responding to physiological inductance of different crop cell membranes is changed differently under different clamping forces, so that the physiological inductance is different.
The expression of the nernst equation is as follows (32):
Figure BDA0002249947320000142
wherein E is electromotive force, E0Is a standard electromotive force, R0Is an ideal gas constant equal to 8.314570J.K-1.mol-1(ii) a T is temperature, in K; miDielectric concentration, M, in response to physiological inductance within the cell membraneoThe total amount of dielectric substance M is the concentration of dielectric substance responding to physiological inductance outside the cell membraneT=Mi+Mo,F0Is the Faraday constant, equal to 96485C.mol-1;nXLIs the number of dielectric material transfers in mol in response to physiological inductance.
The internal energy of electromotive force E can be converted into pressure to do work, and PV is proportional to PV a E, that is:
Figure BDA0002249947320000143
wherein: p is the pressure to which the crop cells are subjected, a is the electromotive force conversion energy coefficient, and V is the crop cell volume;
the pressure P to which the crop cells are subjected can be determined by a pressure formula:
Figure BDA00022499473200001410
wherein F is the clamping force and S is the effective area under the action of the polar plate;
in mesophyllic cells, the vacuole and the cytoplasm occupy the vast majority of the intracellular space. For mesophyllic cells, MoAnd MiThe sum is constant and equal to the dielectric substance responding to physiological inductive reactance inside and outside the membraneTotal mass MT,MiIt is proportional to the conductivity of the dielectric material in response to the physiological impedance, which is the inverse of the impedance Xl, and therefore,
Figure BDA00022499473200001411
can be expressed as
Figure BDA00022499473200001412
Xl is an inductive reactance, P0Dielectric substance concentration M being responsive to physiological inductive reactance in cell membraneiAnd inductance, and thus, the formula (33) can be changed to:
Figure BDA0002249947320000151
(34) is transformed to obtain
Figure BDA0002249947320000152
(35) Can become:
Figure BDA0002249947320000153
(36) the two sides of the formula are taken as indexes and can be changed into:
Figure BDA0002249947320000154
further modified, it is possible to obtain:
Figure BDA0002249947320000155
in formula (38), Xl is a physiological inductive reactance due to the specific effective thickness of the crop leaves
Figure BDA0002249947320000158
(38)The formula can be deformed into:
Figure BDA0002249947320000156
for the same blade to be measured in the same environment, (39) formula (d, a, E)0、R0、T、nXL、F0、MT、P0Are all constant values, order
Figure BDA0002249947320000159
Thus, equation (39) can be transformed as:
Figure BDA0002249947320000157
(40) in the formula y4、k4And b4Are parameters of the model. When F is substituted into the formula (40) as 0, the inherent physiological inductive resistance IXL of the crop leaf is obtained: ixl ═ y4+k4(ii) a Will be provided with
Figure BDA00022499473200001510
And
Figure BDA00022499473200001511
performing deformation operation to obtain the metabolic energy of the leaf cell unit of the crop based on physiological inductance
Figure BDA00022499473200001512
According to ohm's law: current IZU/Z, where U is the measurement voltage, IZIs a physiological current. Z is impedance; meanwhile, the current is equal to the capacitance multiplied by the differential of the voltage in time, and the time t is the product of the capacitance and the impedance after integral transformation, so that the calculation formula of the relative water retention time RTwm of the crops based on the electrophysiological parameters is obtained according to the intrinsic physiological capacitance ICP and the intrinsic physiological impedance IZ of the leaves of the crops as follows: RTwm ═ ICP × IZ.
Calculation formula of intrinsic physiological resistance IR of crops:
Figure BDA00022499473200001513
wherein IR1、IR2、IR3、...IRnAssuming that the intrinsic resistance of each unit cell membrane is equal, i.e., IR1=IR2=IR3=...=IRn=IR0Then, the calculation formula of the intrinsic physiological resistance of the crop is as follows:
Figure BDA00022499473200001514
where n can then be characterized as the amount of proteins and lipids that cause the electrical resistance of the biological tissue.
Calculation formula of intrinsic physiological capacitive reactance IXC of crops:
Figure BDA00022499473200001515
wherein IXC1、IXC2、IXC3、...IXCpAssuming the inherent capacitive reactance of each cell membrane unit is equal, i.e. IXC1=IXC2=IXC3=...=IXCp=IXC0Then, the calculation formula of the inherent physiological capacitive reactance of the crop is as follows:
Figure BDA0002249947320000161
where p can then be characterized as the number of proteins, in particular surface proteins (peripheral proteins), which cause capacitive resistance in biological tissues.
Calculation formula of intrinsic physiological inductive resistance IXL of crops:
Figure BDA0002249947320000162
wherein IXL1、IXL2、IXL3、...IXLqThe inherent inductance of each cell membrane unit is assumed to be equal, i.e. IXL1=IXL2=IXL3=...=IXLq=IXL0Then, the calculation formula of the intrinsic physiological impedance of the crop is as follows:
Figure BDA0002249947320000163
wherein q can then be characterized by the number of protein-binding proteins (intrinsic proteins) which cause an inductive resistance in biological tissues, in particular transport proteins therein.
The calculation formula of the reciprocal physiological inductance IXL-of the leaf blade of the crop is as follows:
Figure BDA0002249947320000165
the calculation formula of the reciprocal IXC-of the inherent physiological capacitive reactance of the crop leaves is as follows:
Figure BDA0002249947320000164
the calculation formula of the reciprocal R-of the inherent physiological resistance of the crop leaves is as follows:
Figure BDA0002249947320000166
the ratio of cellular material transport capacity due to surface proteins (peripheral proteins) to total material transport capacity determines the passive transport capacity of the nutrient elements, and the ratio of cellular material transport capacity due to binding proteins to total material transport capacity determines the active transport capacity of the nutrient elements. Because of the active nutrient transferring capacity of the crop leaves based on the electrophysiological parameters
Figure BDA0002249947320000167
At the same time, the same crop
Figure BDA0002249947320000168
NAT can therefore be characterized as the active transport capacity of crop nutrients. Crop leaf nutrition passive transport capacity based on electrophysiological parameters
Figure BDA0002249947320000169
Figure BDA00022499473200001610
Due to the same kind of crops
Figure BDA00022499473200001611
To a certain extent, NPT can therefore be characterized as a leadThe passive transport capacity of the nutrient elements of the crops. Since the active transport capacity of a crop determines the minimum concentration of ions absorbed and therefore also the low nutrient tolerance of the crop, the low nutrient tolerance of the crop can be used as a ratio of the active transport capacity to the total nutrient transport capacity of the crop. The total nutrient transferring capacity of the crops is NAT + NPT, so the low-nutrient tolerance of the crops
Figure BDA00022499473200001612
Unit%; the nutrient utilization efficiency of the crops is expressed as
Figure BDA00022499473200001613
And has no unit.
Although different electrophysiological indexes can be used for characterizing the characteristics of high yield, drought resistance, low nutrient tolerance and high nutrient efficiency of crops, the unit, dimension, threshold value and the like of different physiological indexes are obviously different, so that the metabolic energy delta G of leaf cells of the crops, the relative water retention time RTwm of the crops with drought resistance, RLN of the crops and the nutrient utilization efficiency NUE of the crop nutrition efficiency, which are used for characterizing the growth conditions of the crops, all need to be normalized in a unified mode. Adopting the normalization of the (delta, 1) interval, wherein the value of delta is between 0 and 0.8 according to the actual condition of the detected sample; the values are different according to whether the original sample is a strain, or a variety, if the original sample is the strain, the value is small, and if the original sample is the variety, the value needs to be large. And finally, comprehensively scoring the sample. And finally, quantitatively comparing the quality of the varieties according to the comprehensive grade average value of the varieties of each material to be detected, and taking the high-grade material as the stress-resistant crop variety to be selected.
A determination device for selection method of adverse-resistant crop species based on electrophysiological characteristics comprises, as shown in figure 1, a bracket 1, a foam plate 2, an electrode plate 3, an electric lead 4, an iron block 5, a plastic rod 6, and a fixing clamp 7; the bracket 1 is of a rectangular frame structure, one side of the bracket is open, the upper end of the bracket 1 is provided with a through hole for a plastic rod 6 to extend into, the inward side of the lower end of the bracket 1 and the bottom end of the plastic rod 6 are respectively adhered with two foam plates 2, electrode plates 3 are embedded in the foam plates 2, a lead 4 is respectively led out from each of the two electrode plates 3 and used for being connected with an LCR tester (HIOKI 3532-50 type, Japan day place), an iron block 5 with fixed mass can be placed on the foam plates 2 of the plastic rod 6, and the physiological capacitance, the physiological resistance and the physiological impedance of crop leaves are measured in a parallel mode; one end of the plastic rod 6, which is positioned in the bracket, is fixed by a fixing clamp 7, and when the lower end of the plastic rod is combined with the end of the bracket, the two electrode plates 3 are completely and correspondingly combined together; the electrode plate 3 is a circular electrode plate made of copper to reduce the edge effect of the electrode.
The method comprises the following steps: when the device is used, two wires 4 of the device are connected with a 9140 four-terminal test probe of an LCR tester, then the plastic rod 6 is lifted, two electrode plates 3 clamp the crop leaves to be measured, the diameter of each electrode plate is 10mm, the measurement voltage is set to be 1.5V, the measurement frequency is 3000Hz, the mass of the plastic rod and the electrode plates and the mass of the iron block 5 are calibrated, and the physiological capacitance, the physiological resistance and the physiological impedance of the crop leaves under different clamping forces are measured in a parallel mode.
Example 1 potato plants in a growing period of more than 5 leaf period are picked in a test field of Guiyang Qingzhen agricultural and rural institutions, the potato plants are quickly returned to a laboratory, after surface dust of leaves on the plants is cleaned, second unfolded leaves to fourth unfolded leaves are respectively collected from the plants one by one to serve as leaves to be detected, and the leaves are placed in distilled water to be soaked for 30 minutes; sucking water on the surface of the leaf, immediately clamping the leaf to be measured between parallel electrode plates of a measuring device, setting measuring voltage and frequency, setting different clamping forces by changing the mass of an iron block, and measuring physiological capacitance, physiological resistance and physiological impedance of the crop leaf under different clamping forces in a parallel mode; using the present invention, the practice of the present invention will be described with reference to the second expanded leaf of the first plant of potato Firurita (potato-F-1-2). The physiological capacitance, physiological resistance and physiological impedance of the leaves under different clamping forces of the potatoes are shown in tables 1 and 2, the physiological capacitance (shown in tables 1 and 2) and physiological impedance are calculated according to the data in tables 1 and 2, and a physiological capacitance C-clamping force F change model (C-F), a physiological resistance R-clamping force F change model (R-F), a physiological impedance Z-clamping force F change model (Z-F), a physiological capacitance Xc-clamping force F change model (Xc-F), a physiological impedance X-clamping force F change model (Xc-F) and a physiological impedance of the leaves of the crops are respectively constructed according to the data in tables 1 and 2 and the data in the physiological impedanceThe model of the change in resistance to Xl with the clamping force F (Xl-F) is shown in Table 3. Obtaining the specific effective thickness d of the crop leaf and the metabolic energy delta G of the crop leaf cell based on physiological resistance according to various models in the table 3R-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-E(table 4), obtaining intrinsic physiological resistance IR, intrinsic physiological impedance IZ, intrinsic physiological capacitive reactance IXC, and intrinsic physiological inductive reactance IXL of the leaf at the same time (table 5); by comparing Δ GR-E、ΔGZ-E、ΔGXc-E、ΔGLc-EJudging the sample as an effective sample according to the difference of the values; then calculating the metabolic energy delta G of the leaf cells of the crops as shown in a table 4; obtaining intrinsic physiological capacitance ICP according to intrinsic physiological capacitance IXC as shown in table 5, obtaining crop relative water retention time RTwm (shown in table 5) based on electrophysiological parameters according to the intrinsic physiological capacitance ICP and the intrinsic physiological impedance IZ of crop leaves, obtaining crop leaf nutrition active transfer capacity NAT and passive transfer capacity NPT based on the electrophysiological parameters according to the intrinsic physiological resistance IR, the intrinsic physiological capacitance IXC and the intrinsic physiological impedance IXL of the leaves, and further obtaining crop low nutrition tolerance RLN and nutrition utilization efficiency NUE as shown in table 5.
TABLE 1 physiological capacitance (C, F), physiological impedance (R, omega), physiological impedance (Z, omega) and physiological capacitive impedance (Xc, omega) of the leaves of the second unfolded leaf (Potato-F-1-2) of the first plant of Potato Fischerita under different holding forces (F, in N)
Figure BDA0002249947320000181
Figure BDA0002249947320000191
TABLE 2 physiological capacitance (C, F), physiological impedance (R, omega), physiological impedance (Z, omega) and physiological capacitive impedance (Xc, omega) of the leaves of the second unfolded leaf (Potato-F-1-2) of the first plant of Potato Fischerita under different holding forces (F, in N)
Figure BDA0002249947320000192
Figure BDA0002249947320000201
TABLE 3 Potato Figurita first plant second unfolded leaf (Potato-F-1-2) physiological capacitance (C) with grip force (F) change model (C-F), physiological resistance (R) with grip force (F) change model (R-F), physiological impedance (Z) with grip force (F) change model (Z-F), physiological capacitive reactance (Xc) with grip force (F) change model (Xc-F) and physiological inductive reactance (Xl) with grip force (F) change model (Xl-F)
Type of model Fang Cheng
C-F C=5.65×10-10+4.16×10-10F(R2=1.000,P<0.0001,n=86)
R-F R=21234.89+292758.66e-1.16F(R2=0.990,P<0.0001,n=86)
Z-F Z=13478.39+222789.76e-1.25F(R2=0.990,P<0.0001,n=86)
Xc-F Xc=17434.76+329118.35e-1.32F(R2=0.990,P<0.0001,n=86)
Xl-F Xl=33091.60+523960.08e-1.23F(R2=0.990,P<0.0001,n=86)
TABLE 4 specific effective thickness d of the leaves of the second expanded leaf (Potato-F-1-2) of the first plant of Potato Fischerita, physiological resistance-based Metabolic energy Δ G of the leaf cell Unit of a cropR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-EAnd metabolic energy delta G of leaf cells of crops
Figure BDA0002249947320000202
TABLE 5 inherent physiological resistance IR, inherent physiological impedance IZ, inherent physiological capacitive resistance IXC, inherent physiological capacitive resistance IXL, inherent physiological capacitive capacitance ICP, relative water retention time RTwm, low nutrient tolerance RLN and nutrient utilization efficiency NUE of first plant of Potato Fischerita
Figure BDA0002249947320000211
According to the same method, indexes of three plants (-1-, -2-, -3-) of 4 varieties of potatoes (Fiurota, F; medium potato 3, ZS 3; medium potato 4, ZS 4; medium potato 5, ZS5) of second, third and fourth fully developed leaves (-2, -3, -4) are obtained, and after invalid samples are removed, the metabolic energy delta G of crop leaf cells, the relative water holding time RTwm of crops, the low nutrition resistant capacity RLN and the nutrition utilization efficiency NUE of the crops of the valid samples are shown in a table 6. Normalization of Δ G, RTwm, RLN, and NUE at (0.4,1) yields RTR、RLNR、NUERAnd GRAs in table 6.
TABLE 6 plant leaf cell metabolizable energy Δ G, relative crop water retention time RTwm, low nutrient tolerance RLN and crop nutrient utilization efficiency NUE of a valid sample of 4 potato varieties and their normalized values at (0.4,1)
Figure BDA0002249947320000212
Figure BDA0002249947320000221
RT obtained by normalization at (0.4,1) as described aboveR、RLNR、NUERAnd GRObtaining variety comprehensive scores S of effective samples of different leaf positions of different plants of the material to be tested0.4Similarly, as shown in Table 7, Δ G, RTwm, RLN, and NUE were normalized to (0.6,1) to obtain RTR、RLNR、NUERAnd GRAs shown in Table 7, the variety comprehensive scores S of effective samples of different leaf positions of different plants of the material to be tested are obtained0.6See table 7.
TABLE 7 comprehensive evaluation S of varieties of effective samples of different leaf positions of different plants of material to be tested0.4Δ G, RTwm, RLN, and NUE at (0.6,1) normalized value RTR、RLNR、NUERAnd GRAnd variety comprehensive scoring S of effective samples of different leaf positions of different plants of materials to be tested0.6
Figure BDA0002249947320000222
Figure BDA0002249947320000231
Example 2 Pepper plants in the growth phase of more than 5 leaves were picked in the test field of Guiyang Qingzhen agricultural and occupational institutions, returned to the laboratory quickly and cleanedAfter the surface of the leaves is dusted, respectively collecting the second unfolded leaves to the fourth unfolded leaves from the plants one by one as leaves to be detected, and soaking the leaves in distilled water for 30 minutes; sucking water on the surface of the leaf, immediately clamping the leaf to be measured between parallel electrode plates of a measuring device, setting measuring voltage and frequency, setting different clamping forces by changing the mass of an iron block, and measuring physiological capacitance, physiological resistance and physiological impedance of the crop leaf under different clamping forces in a parallel mode; in the same manner as in example 1, 13 total scores S were finally obtained for each material0.4And S0.6See table 8.
TABLE 8 composite score S of 13 pepper materials0.4And S0.6
Figure BDA0002249947320000232
Figure BDA0002249947320000241
The implementation effect of the invention is as follows:
as can be seen from Table 4, the physiological resistance-based metabolic energy Δ G of the leaf cell unit of the first expanded leaf (potato-F-1-2) of the first plant of potato FiguritaR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-EThe values are very close, 35 samples in 36 samples of all potatoes have similar results, 115 samples in 117 samples of all peppers have similar results, and only a few samples fail due to experimental operation errors, which is consistent with theory because the physiological resistance-based metabolic energy Δ G of the leaf cell unit of the crop leaf is based on physiological resistanceR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-resistance-based crop leafSpecific energy of metabolism Δ G of cellLc-EThe numerical values belong to the same concept, the numerical values should be the same, and the invention is very effective in eliminating invalid samples by utilizing the principle.
As can be seen from Table 7, the material and energy metabolism ability of different leaves of different plants are significantly different, showing a significant diversity, which is an important biological mechanism for the adaptation of the whole plant, and even the whole variety (strain/material), to the environment. Also, it can be seen from Table 7, although it is the composite score S0.4Or comprehensive score S0.6The results of different leaves of different plants are different, so that the quality of the material (variety/strain) is difficult to judge from a single sample, but the average value of multiple samples (more than or equal to 8) of the material (variety/strain) is the information of the quality of the crop material (variety/strain). In the potato test, the sequences of strong stress resistance and weak stress resistance can be seen as follows: zhongshu No. 5>Figurita>Zhongshu No. 3>The medium potato No. 4 has a score similar to that of Figurita for medium potato No. 5 and a score similar to that of medium potato No. 4 for medium potato No. 3. This is in practical agreement with production. In production, the yield of the medium potato No. 5 potato is about 2000 kg per mu generally; the yield of the feugutita sowed in spring is generally 1500-2000 kg per mu, and the height can reach more than 2500 kg; the yield of the medium potato No. 3 is generally 1500-2000 kg per mu; the yield of the medium potato No. 4 is 1500-2000 kg per mu.
It can also be seen from table 8 that the test results of pepper are consistent with the actual results, among 13 materials, the preferred planar pepper is the local family variety, and other materials have scores higher than the variety and lower than the variety, so that we can obviously select the material with the score higher than the variety to participate in the variety comparison test, rather than blindly performing the comparison test on all the materials, thereby greatly improving the breeding efficiency and reducing the land utilization cost. In this embodiment, 8096, 8123, and 8093 can be selected for the item ratio test.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. A method for selecting stress-resistant crop varieties based on electrophysiological characteristics is characterized by comprising the following steps:
planting crop materials to be detected in the same environment, and taking plants in a growth period as determination materials;
connecting the measuring device with an LCR tester;
collecting leaves to be detected at different leaf positions from different plants to be detected, and soaking the leaves in distilled water;
step four, sucking water on the surface of the leaf, immediately clamping the leaf to be measured between parallel electrode plates of a measuring device, setting measuring voltage and frequency, setting different clamping forces by changing the mass of an iron block, and simultaneously measuring physiological capacitance, physiological resistance and physiological impedance of the crop leaf under different clamping forces in a parallel mode;
calculating physiological capacitive reactance according to the physiological capacitance of the crop leaves;
step six, calculating physiological inductive reactance of the crop leaves according to physiological resistance, physiological impedance and physiological capacitive reactance of the crop leaves;
constructing a model of the physiological capacitance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step eight, constructing a model of physiological resistance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
constructing a model of physiological impedance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
constructing a model of the physiological capacitive reactance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step eleven, constructing a model of physiological inductive resistance of the crop leaves changing along with the clamping force to obtain each parameter of the model;
step twelve, acquiring the specific effective thickness d of the crop leaves according to the parameters in the model in the step seven;
step thirteenAcquiring intrinsic physiological resistance IR of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological resistance according to the parameters in the model in the step eightR-E
Fourteen, acquiring inherent physiological impedance IZ of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological impedance according to the parameters in the model in the step nineZ-E
Fifthly, acquiring inherent physiological capacitive reactance IXC of the crop leaves and physiological capacitive reactance-based metabolic energy delta G of the crop leaf cell unit according to the parameters in the model in the step tenXc-E
Sixthly, acquiring inherent physiological inductive reactance IXL of the crop leaf and the metabolic energy delta G of the crop leaf cell unit based on the physiological inductive reactance according to the parameters in the model in the step elevenLc-E
Seventhly, calculating the intrinsic physiological capacitance ICP of the crops according to the intrinsic physiological capacitive reactance IXC of the crops;
eighteen, obtaining relative water retention time RTwm of the crops based on the electrophysiological parameters according to the intrinsic physiological capacitance ICP and the intrinsic physiological impedance IZ of the leaves of the crops;
nineteenth, obtaining the nutrition active transport capacity NAT and the passive transport capacity NPT of the crop leaves based on electrophysiological parameters according to the intrinsic physiological resistance IR, the intrinsic physiological capacitive reactance IXC and the intrinsic physiological inductive reactance IXL of the leaves;
twenty, acquiring crop low-nutrition-tolerance RLN and nutrition utilization efficiency NUE according to the crop leaf nutrition active transport capacity NAT and the passive transport capacity NPT based on the electrophysiological parameters;
twenty one, comparing the metabolic energy delta G of the crop leaf cell unit based on the physiological resistanceR-EPhysiological impedance-based metabolic energy delta G of leaf cell unit of cropZ-EPhysiological capacitive reactance-based metabolic energy delta G of leaf cell unit of cropXc-EPhysiological-inductive-reactance-based metabolic energy delta G of leaf cell unit of cropLc-EIf the four samples with insignificant difference are effective samples, the data of the leaf is included in the investigation, otherwise, the data is rejected;
twenty-two, based on the effective sample, generatingMetabolic energy delta G of leaf cell unit of crop of physical resistanceR-EAnd the specific effective thickness d of the crop leaves, and obtaining the metabolic energy delta G of the crop leaf cells;
twenty-three steps, normalizing the data of the relative water retention time RTwm of the crops, the RLN of the low nutrition resistance capability of the crops, the NUE of the nutrition utilization efficiency and the delta G of the metabolic energy of the cells of the leaves of the crops based on the electrophysiological parameters to obtain the normalized relative water retention time RTwm of the crops, the RLN of the low nutrition resistance capability of the crops, the NUE of the nutrition utilization efficiency and the delta G of the metabolic energy of the cells of the leaves of the crops based on the electrophysiological parameters, and respectively using the RTR、RLNR、NUER、GRRepresents;
twenty-four steps according to RTR、RLNR、NUERAnd GRObtaining variety comprehensive scores S of effective samples of different plants and different leaf positions of a material to be detected;
and twenty-five steps of obtaining the comprehensive grade average value SM of each variety of the material to be detected, quantitatively comparing the quality of the varieties according to the SM size, and taking the high-grade material as the stress-resistant crop variety to be selected.
2. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the first step, the crop material to be tested needs to be planted in the same environment, and the tested material is a plant which is larger than 5 leaves and is in a growth period.
3. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: the setting method of different clamping forces in the fourth step comprises the following steps: by adding iron blocks of different masses, according to the formula of gravilogy: calculating clamping force F as (M + M) g, wherein F is the clamping force and has the unit of N; m is the mass of the iron block, and M is the mass of the plastic rod and the electrode slice, kg; g is an acceleration of gravity of 9.8N/kg.
4. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the fifth step, the process is carried out,the calculation formula of the physiological capacitive reactance of the crop leaves is as follows:
Figure FDA0002249947310000021
wherein Xc is the physiological capacitive reactance of the crop leaves, C is the physiological capacitance of the crop leaves, f is the test frequency, and pi is the circumference ratio equal to 3.1416.
5. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the sixth step, a calculation formula of the physiological inductive reactance of the crop leaves is as follows:
Figure FDA0002249947310000022
wherein Xl is physiological inductive reactance of the crop leaves, Xc is physiological capacitive reactance of the crop leaves, Z is physiological impedance of the crop leaves, and R is physiological resistance of the crop leaves.
6. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the seventh step, the change equation of the physiological capacitance Cp of the crop leaf along with the clamping force F is as follows:
Figure FDA0002249947310000031
wherein, Delta H is the internal energy of the system, U is the test voltage, and d is the specific effective thickness of the crop leaves; order to
Figure FDA0002249947310000032
The change equation may be transformed into Cp ═ x0+ hF; wherein x0And h is a model parameter.
7. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the step eight, the physiological resistance of the crop leaves changes along with the clamping force,
Figure FDA0002249947310000033
the model is based on the Nernst squareProgram for programming
Figure FDA0002249947310000034
Derived, wherein R is resistance, E is electromotive force, E is0Is a standard electromotive force, R0Is an ideal gas constant, T is temperature, CiConcentration of dielectric substances, C, in response to physiological resistance in cell membranesoConcentration of dielectric substances in response to physiological resistance outside cell membrane, f0Concentration C of dielectric substance responsive to physiological resistance in cell membraneiProportional coefficient converted from physiological resistance, total dielectric substance C of intra-membrane and extra-membrane response physiological resistanceT=Ci+Co,F0Is the Faraday constant, nRIs the number of dielectric mass transfers in response to physiological resistance; e can be used for doing work, PV is proportional to PV (a is aE), a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by a pressure formula
Figure FDA0002249947310000035
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure FDA0002249947310000036
the deformation is as follows:
Figure FDA0002249947310000037
and is further transformed into
Figure FDA0002249947310000038
Figure FDA0002249947310000039
Due to the specific effective thickness of the crop leaves
Figure FDA00022499473100000310
Therefore, the temperature of the molten metal is controlled,
Figure FDA00022499473100000311
the deformation is as follows:
Figure FDA00022499473100000312
order to
Figure FDA00022499473100000313
The model of the physiological resistance of the crop leaf changing along with the clamping force can be deformed into
Figure FDA00022499473100000314
Wherein y is1、k1And b1Are parameters of the model.
8. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the ninth step, the physiological impedance of the crop leaf changes along with the clamping force,
Figure FDA00022499473100000315
the model is based on the Nernst equation
Figure FDA00022499473100000316
Derived, wherein Z is impedance, E is electromotive force, E is0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, QiDielectric substance concentration, Q, in response to physiological impedance within the cell membraneoConcentration of dielectric substances in response to physiological impedance outside cell membrane, J0Dielectric substance concentration Q being the response of physiological impedance in cell membraneiThe ratio coefficient of conversion between the impedance and the total quantity Q of dielectric substances responding to physiological impedance inside and outside the membranei+Qo,F0Is the Faraday constant, nZIs the number of dielectric mass transfers in response to physiological impedance; e can be used for doing work, PV is proportional to PV a E, a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by the pressure formula
Figure FDA00022499473100000317
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure FDA0002249947310000041
the deformation is as follows:
Figure FDA0002249947310000042
and is further transformed into
Figure FDA0002249947310000043
Figure FDA0002249947310000044
Due to the specific effective thickness of the crop leaves
Figure FDA0002249947310000045
Therefore, the temperature of the molten metal is controlled,
Figure FDA0002249947310000046
the deformation is as follows:
Figure FDA0002249947310000047
order to
Figure FDA0002249947310000048
The model of the physiological impedance of the crop leaf changing along with the clamping force can be deformed into
Figure FDA0002249947310000049
Wherein y is2、k2And b2Are parameters of the model.
9. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the step ten, the physiological capacitive reactance of the crop leaves changes along with the clamping force,
Figure FDA00022499473100000410
Figure FDA00022499473100000411
the model is based on the Nernst equation
Figure FDA00022499473100000412
Deduced, wherein Xc is capacitive reactance, E is electromotive force, E0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, XiConcentration of dielectric substances, X, in response to physiological capacitive impedance within cell membranesoConcentration of dielectric substances, L, in response to physiological capacitive reactance outside the cell membrane0Concentration X of dielectric substance responsive to physiological capacitive impedance in cell membraneiThe ratio coefficient of conversion between the dielectric substance and the physiological capacitive reactance, and the total amount of the dielectric substance X which responds to the physiological capacitive reactance inside and outside the membrane is Xi+Xo,F0Is the Faraday constant, nXCIs the number of dielectric mass transfers in response to physiological capacitive reactance; e can be used for doing work, PV is proportional to PV a E, a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by the pressure formula
Figure FDA00022499473100000413
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure FDA00022499473100000414
the deformation is as follows:
Figure FDA00022499473100000415
Figure FDA00022499473100000416
and is further transformed into
Figure FDA00022499473100000417
Due to the fact that the cropsSpecific effective thickness of the blade
Figure FDA00022499473100000418
Therefore, the temperature of the molten metal is controlled,
Figure FDA00022499473100000419
the deformation is as follows:
Figure FDA00022499473100000420
order to
Figure FDA00022499473100000421
Figure FDA00022499473100000422
The model of the physiological capacitance of the crop leaf changing along with the clamping force can be deformed into
Figure FDA00022499473100000423
Wherein y is3、k3And b3Are parameters of the model.
10. The method for selecting the variety of stress-resistant crops based on the electrophysiological characteristics of claim 1, wherein the method comprises the following steps: in the eleventh step, the physiological inductive reactance of the crop leaves changes along with the clamping force,
Figure FDA00022499473100000424
Figure FDA00022499473100000425
the model is based on the Nernst equation
Figure FDA00022499473100000426
Deduced, wherein Xl is inductive reactance, E is electromotive force, E0Is a standard electromotive force, R0Is the ideal gas constant, T is the temperature, MiDielectric concentration, M, in response to physiological inductance within the cell membraneoIs a cellConcentration of dielectric substance, P, in response to physiological reactance outside membrane0Dielectric substance concentration M being responsive to physiological inductive reactance in cell membraneiThe proportionality coefficient for conversion between the dielectric substance and physiological inductive reactance, and the total dielectric substance M of the intra-membrane and extra-membrane response physiological inductive reactanceT=Mi+Mo,F0Is the Faraday constant, nXLIs the number of dielectric mass transfers in response to physiological inductance; e can be used for doing work, PV is proportional to PV a E, a is the coefficient of converting electromotive force into metabolic energy, V is the volume of crop cells, P is the pressure to which the crop cells are subjected, and the pressure P is expressed by the pressure formula
Figure FDA00022499473100000427
Calculating F as clamping force, S as effective area under the action of the polar plate and d as specific effective thickness of the crop leaf;
Figure FDA00022499473100000428
the deformation is as follows:
Figure FDA00022499473100000429
Figure FDA0002249947310000051
and is further transformed into
Figure FDA0002249947310000052
Due to the specific effective thickness of the crop leaves
Figure FDA0002249947310000053
Therefore, the temperature of the molten metal is controlled,
Figure FDA0002249947310000054
the deformation is as follows:
Figure FDA0002249947310000055
order to
Figure FDA0002249947310000056
Said crop leavesThe model of the physiological inductance of the sheet changing with the clamping force can be deformed into
Figure FDA0002249947310000057
Wherein y is4、k4And b4Are parameters of the model.
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