CN104657593B - A kind of method of crop character dynamic formation process assessment kind - Google Patents
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- CN104657593B CN104657593B CN201510030679.3A CN201510030679A CN104657593B CN 104657593 B CN104657593 B CN 104657593B CN 201510030679 A CN201510030679 A CN 201510030679A CN 104657593 B CN104657593 B CN 104657593B
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000015572 biosynthetic process Effects 0.000 title claims abstract description 14
- 230000007613 environmental effect Effects 0.000 claims abstract description 8
- 230000008635 plant growth Effects 0.000 claims abstract description 7
- 238000004088 simulation Methods 0.000 claims abstract description 5
- 210000000056 organ Anatomy 0.000 claims description 29
- 239000002028 Biomass Substances 0.000 claims description 18
- 230000000243 photosynthetic effect Effects 0.000 claims description 10
- 230000012010 growth Effects 0.000 claims description 8
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 238000000205 computational method Methods 0.000 claims description 4
- 230000005305 organ development Effects 0.000 claims description 4
- 230000005855 radiation Effects 0.000 claims description 4
- 230000003698 anagen phase Effects 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000005286 illumination Methods 0.000 claims description 2
- 210000002220 organoid Anatomy 0.000 claims description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims 1
- 241000790917 Dioxys <bee> Species 0.000 claims 1
- 229910052799 carbon Inorganic materials 0.000 claims 1
- 238000009395 breeding Methods 0.000 abstract description 11
- 230000001488 breeding effect Effects 0.000 abstract description 10
- 201000004569 Blindness Diseases 0.000 abstract description 2
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000012252 genetic analysis Methods 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000009027 insemination Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000029553 photosynthesis Effects 0.000 description 1
- 238000010672 photosynthesis Methods 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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Abstract
A kind of method of crop character dynamic formation process assessment kind proposed by the present invention, comprises the following steps：Step 1, crop functional architecture model is built；Step 2, according to the environmental data and the source storehouse relevant parameter of plant growth data reverse crop functional architecture model actually measured, crop functional architecture model is calibrated；Step 3, by constructed crop functional architecture model, the dynamic formation process of each measurable traits of same crop different cultivars is simulated；Step 4, according to the result of simulation, the dynamic change of each measurable traits of different cultivars crop is analyzed, the critical process of different cultivars crop yield difference formation is specified and causes the factor of different cultivars crop yield otherness.This method provides guidance by computer meanses for breeding scholar's seed selection improved seeds, reduces the blindness of breeding, so as to improve breeding efficiency.
Description
Technical field
The invention belongs to areas of information technology, and in particular to a kind of crop character dynamic based on functional architecture model simulation
The method that forming process assesses kind, can provide theoretical direction for breeding.
Background technology
Traditional breeding method generally use comparative test method finds out the high yield for adapting to a certain area ecological environment and climatic characteristic
Fine quality.This method wastes time and energy, generally use statistical method, analyze different economical characters (plant height, tiller number, spike number,
Grain weight, specific yield etc.) difference and correlation in each kind, to judge the quality of kind.
Because crop yield is determined by some characters, and these characters are not only related to inherent cause, also by environment and base
Because of the influence with environment interaction.It is thus impossible to genetic analysis is carried out exactly.At present, the contribution of many Characters on Yield is failed to understand
, only pass through influence of many experiments to these characters and carry out correlation analysis.This
Outside, yield is complex character, is the coefficient result of process such as growth and development.Therefore, it is difficult to instead by the data of static state
Its forming process is reflected, so as to analyze its influence factor.
Morphosis between crop different cultivars is widely different, and its canopy structure determines intercepting and capturing of the plant to solar radiation light
Ability, and spatial distribution of the light radiation in crop canopies had both influenceed the photosynthesis of plant, can also cause the change of its structure.
By the dynamic growth process of computer simulation crop, the intercepting and capturing of its canopy light and the generation and distribution of photosynthetic yield are calculated, so as to
The forming process of crop character is dynamically described, the dynamic change of each character of Different Crop kind is analyzed, with clear and definite volume variance
The critical process of formation, a kind of aid of computer can be provided for good variety selection, so as to substantially increase breeding
The effect of work.
The content of the invention
To achieve these goals, the present invention proposes a kind of method of crop character dynamic formation process assessment kind,
Theoretical direction effectively is provided for breeding by computer approach, improves the effect of breeding work.
A kind of method of crop character dynamic formation process assessment kind proposed by the present invention, comprises the following steps：
Step 1, crop functional architecture model is built；
Step 2, according to the environmental data actually measured and the source storehouse of plant growth data reverse crop functional architecture model
Relevant parameter, crop functional architecture model is calibrated；
Step 3, by constructed crop functional architecture model, to each measurable traits of same crop different cultivars
Dynamic formation process is simulated；
Step 4, according to the result of simulation, the dynamic change of each measurable traits of different cultivars crop is analyzed, it is clearly different
The critical process that kind crop yield difference is formed, assess the factor for causing different cultivars crop yield otherness.
Constructed crop functional architecture model includes orga- nogenesis module and organ expansion module, and organ expansion module includes
Biomass production module, Bomass allocation module and organ size computing module；
Computational methods are intercepted and captured in the biomass production module using the accurate canopy light based on organ yardstick to calculate to make
The summation for the light that thing canopy is intercepted and captured.
Described environmental data includes temperature, humidity, illumination and gas concentration lwevel.
The present invention is by constructing function structural model, to the dynamic formation of each measurable traits of same crop different cultivars
Process is analyzed, and then assesses the factor for causing different cultivars crop yield otherness, specifies the key of volume variance formation
Process, so as to provide guidance for breeding scholar's seed selection improved seeds, the blindness of breeding is reduced, so as to improve breeding efficiency.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the present invention；
Embodiment
Involved each detailed problem in technical scheme that the invention will now be described in detail with reference to the accompanying drawings.It should be noted that
Described embodiment is intended merely to facilitate the understanding of the present invention, and does not play any restriction effect to it.
As shown in figure 1, a kind of method of crop character dynamic formation process assessment kind of the present invention, including following step
Suddenly：
Step 1, crop functional architecture model, including orga- nogenesis module and organ expansion module, organ expanded mode are built
Block includes biomass production module, Bomass allocation module and organ size computing module；The model is used to simulate different phase
The processes such as orga- nogenesis, biomass generation, Bomass allocation, the organ of plant are extended, leaf area is formed.
Wherein most important two steps are：
(1) biomass produces：Based on environmental data (such as light intensity, temperature, humidity, carbon dioxide), plant growth is calculated
During crop canopies light intercept and capture and photosynthetic yield.According to light intensity and the photosynthetic yield of light distribution unit of account area lobes, according to
According to spatial distribution of the geometry Analysis of Topological Structure light radiation of crop in crop canopies, using the accurate hat based on organ yardstick
Layer light intercepts and captures computational methods to calculate the summation for the light that crop canopies is intercepted and captured, and obtains crop canopies per second instantaneously photosynthetic production
Amount, and then intraday photosynthetic yield is collected, the photosynthetic yield added up daily, i.e., daily accumulative caused biology
Amount.
(2) Bomass allocation：Caused biomass is allocated by force according to the storehouse of each organ of crop.It is strong according to storehouse, calculate
The biomass that each organ different growth phases of crop obtain, by the biomass for calculating all single organs with identical characteristic
Sum obtains the total biomass of certain organoid.The number of different types of organs, Jin Erji are calculated by crop functional architecture model
The strong accumulated value in all organ storehouses is calculated, obtains assimilation products aggregate demand of the crop in a certain growth cycle.
Step 2, according to the environmental data actually measured and the source storehouse of plant growth data reverse crop functional architecture model
Relevant parameter, crop functional architecture model is calibrated；Wherein environmental data includes light intensity, temperature, humidity, carbon dioxide
Include biomass, the organ of the topological structure of crop, geometric data, each organ of crop and whole strain Deng, plant growth data
Size and quantity etc..
Step 3, by constructed crop functional architecture model, to the plant of same crop different cultivars, from seed
Start, in units of growth cycle, according to the growth-development law of crop, the biomass of plant is produced one by one and biomass divides
With etc. physiology course simulated, so as to being simulated to dynamic formation process of each measurable traits in different developmental phases, its
Middle measurable traits include plant height, stem thick, leaf blade size and angle, fruit number and size, branch quantity, spike number and grain number per spike,
Specific yield etc., growth cycle refer to the whole process from crop insemination and emergence to harvesting, are calculated with the number of effective accumulated temperature.
Step 4, according to the result of simulation, work of the plant in different growth and development stage reverses of different cultivars crop is compared
Thing functional architecture model source storehouse relevant parameter (including all types of organs, such as blade, petiole, the strong parameter of internode and the storehouse of fruit and
Source storehouse ratio etc.) difference；The different types of source storehouse relevant parameter of crop functional architecture model can reflect the corresponding of crop
Measurable traits, so as to dynamically analyze each measurable traits in growth and development process by crop functional architecture model
Variable condition, so as to clear and definite different cultivars crop yield difference formed critical process and cause different cultivars crop yield difference
The factor of property.
It is described above, it is only the embodiment in the present invention, but protection scope of the present invention is not limited thereto, and is appointed
What be familiar with the people of the technology disclosed herein technical scope in, it will be appreciated that the conversion or replacement expected, should all cover
Within the scope of the present invention.Therefore, protection scope of the present invention should be defined by the protection domain of claims.
Claims (3)
- A kind of 1. method of crop character dynamic formation process assessment kind, it is characterised in that comprise the following steps：Step 1, crop functional architecture model is built；Step 2, it is related to the source storehouse of plant growth data reverse crop functional architecture model according to the environmental data actually measured Parameter, crop functional architecture model is calibrated；Step 3, by constructed crop functional architecture model, to the dynamic of each measurable traits of same crop different cultivars Forming process is simulated；Step 4, according to the result of simulation, the dynamic change of each measurable traits of different cultivars crop is analyzed, specifies different cultivars The critical process that crop yield difference is formed and the factor for causing different cultivars crop yield otherness；Constructed crop functional architecture model includes orga- nogenesis module and organ expansion module, and organ expansion module includes biology Amount production module, Bomass allocation module and organ size computing module；The biomass generation module, it is configured to the photosynthetic yield according to light intensity and light distribution unit of account area lobes, foundation Spatial distribution of the geometry Analysis of Topological Structure light radiation of crop in crop canopies, using the accurate canopy based on organ yardstick Light intercepts and captures computational methods to calculate the summation for the light that crop canopies is intercepted and captured, and obtains the instantaneous photosynthetic yield of crop canopies per second； The instantaneous photosynthetic yield of crop canopies per second according to obtained by, calculates photosynthetic yield accumulative daily；The Bomass allocation module, the storehouse according to each organ of crop is configured to by force to raw caused by the biomass production module Object amount is allocated；It is strong according to storehouse, the biomass that each organ different growth phases of crop obtain is calculated, all is had by calculating The biomass sum of the single organ of identical characteristic obtains the total biomass of certain organoid；Calculated by crop functional architecture model The number of different types of organs, and then the strong accumulated value in all organ storehouses is calculated, obtain assimilation of the crop in a certain growth cycle Product aggregate demand.
- 2. according to the method described in claim 1, it is characterised in that used in the biomass production module based on organ yardstick Accurate canopy light intercepts and captures computational methods to calculate the summation for the light that crop canopies is intercepted and captured.
- 3. according to the method described in claim 2, it is characterised in that described environmental data includes temperature, humidity, illumination and dioxy Change concentration of carbon；Plant growth data include topological structure, geometric data, each organ of crop of crop, and the life of whole strain Object amount, organ size and number.
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| CN105975805B (en) * | 2016-05-31 | 2018-08-28 | 湖南农业大学 | Rice plant shape state structure index extracting method and its application |
| CN106600048B (en) * | 2016-12-09 | 2019-08-27 | 江苏大学 | A method of prediction greenhouse tomato fruit growth |
| CN116310844B (en) * | 2023-05-18 | 2023-07-28 | 四川凯普顿信息技术股份有限公司 | Agricultural crop growth monitoring system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1570924A (en) * | 2004-05-13 | 2005-01-26 | 西安交通大学 | A crop growth model description and interpretation method |
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| CN1570924A (en) * | 2004-05-13 | 2005-01-26 | 西安交通大学 | A crop growth model description and interpretation method |
Non-Patent Citations (2)
| Title |
|---|
| 基于构件化生长模型的作物管理决策支持系统;花登峰;《中国优秀硕士学位论文全文数据库 农业科技辑》;20080515(第5期);第2、20、25、43页 * |
| 基于遥感与作物生长模型的冬小麦生长模拟研究;郭建茂;《中国博士学位论文全文数据库 农业科技辑》;20071215(第6期);第30-32、61-71页 * |
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