CN101876623A - Method and system for quantitatively analyzing lodging resistance detection environment of new corn variety - Google Patents
Method and system for quantitatively analyzing lodging resistance detection environment of new corn variety Download PDFInfo
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- CN101876623A CN101876623A CN2009102417653A CN200910241765A CN101876623A CN 101876623 A CN101876623 A CN 101876623A CN 2009102417653 A CN2009102417653 A CN 2009102417653A CN 200910241765 A CN200910241765 A CN 200910241765A CN 101876623 A CN101876623 A CN 101876623A
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Abstract
The invention provides a method for quantitatively analyzing the lodging resistance detection environment of a new corn variety. The method comprises the following steps of: S101, acquiring and storing the environmental data of a region to be analyzed; S102, setting the lodging grades and the meteorological index threshold of the region to be analyzed; S103, calculating the probability of different grades of lodging at a specific stage of each weather station in the region to be analyzed according to the daily data of the weather station and the meteorological index threshold; S104, performing interpolation calculation according to a lodging probability value to obtain the lodging probability value of each grade of each county/district in the region to be analyzed and generate a regional probability distribution figure; and S105, selecting a plurality of optional counties and districts with different lodging grades according to the lodging probability of each grade of each county/district in the region to be analyzed and corn planting production information. Due to the adoption of the method, the lodging resistance probability of the detection environment can be enhanced greatly and the lodging resistance detection efficiency of the new corn variety is improved.
Description
Technical field
The present invention relates to kind of an industry informationization technology field, particularly a kind of method and corresponding analytic system of corn variety lodging resistance testing environment quantitative analysis.
Background technology
Lodging is one of important environment-stress of corn planting production, when the lodging resistance to corn variety detects, often need to select to exist experimental enviroment that lodging coerces as the testing site, but owing to choose the mode problem, these experimental enviroments often can not guarantee that when each test lodging can both take place coerces, therefore, be difficult to guarantee that the lodging resistance of corn variety can obtain fully, effectively detect.
Prior art adopts traditional testing site to choose mode mostly, promptly by testing competent authorities according to ecological zoning, agricultural regionalization, variety type, in conjunction with producing reality, cropping system, corn date of seeding type, takes into account administrative division, confirmed test district group; According to meteorology, soil and the cultivated form of test site group, take into account carrier's material conditions and technical force, select the testing site.(national agricultural industry criteria-variety of crops experimental technique rules-corn: NY/T1209-2006).The defective that there are following three aspects in mode is chosen in this traditional testing site:
1, this method is too general, has only provided explanation qualitatively, does not provide the definite quantitative basis for estimation;
2, the effective analysis tool of neither one is carried out the selection of experimental enviroment, has also limited the improvement of work;
3, do not consider from the angle that varietal adaptation, resistance are fully detected, coerce so non-artificial controllable factor and do not do artificial intensive treatment for lodging, the folding that falls, therefore, the lodging of many experimental enviroments, the folding that falls are coerced and are failed to occur in process of the test, so that many corn varieties show excellent in experimental enviroment, but after popularization, meet accident continuously, even cause the serious significantly underproduction, total crop failure accident.
The corn lodging mainly contains three kinds of factors, and the one, inherent cause is as plant height, fringe position, well developed root system degree, strength of stem and the toughness etc. of kind; The 2nd, human factor is planned strategies for etc. as planting density, rich water; The 3rd, meteorologic factor is as overcast and rainy few photograph and the violent storm of pustulation period of jointing stage.In these three factors, meteorologic factor is the direct environment inducement of corn lodging, also is artificial uncontrollable factor.
Summary of the invention
The present invention seeks to overcome the above-mentioned defective of prior art, a kind of method and corresponding analytic system of corn variety lodging resistance testing environment quantitative analysis are provided, with science, operability and the efficient that improves this selection analytical work, improve variety test to detecting the efficient of corn variety lodging resistance.
For achieving the above object, one aspect of the present invention provides a kind of corn variety lodging resistance testing environment analytical approach, may further comprise the steps:
S101: obtain and store regional environment data to be analyzed, comprise the information such as soil types, liquid manure in day Value Data, the territory, county of meteorological site at least three ten years in the zone, the corn planting production information in territory, county;
S102: zone to be analyzed lodging classification and meteorological index threshold value are set;
S103: according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability of different brackets lodging appears in moment;
S104: carry out interpolation calculation according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed, and generate regional lodging probability distribution graph at different levels;
S105: the territory, some alternative county of selecting each grade lodging according to each grade lodging probability size of each counties and districts in the described zone to be analyzed and corn planting production information.
Wherein, described a plurality of meteorological site is evenly distributed in described zone to be analyzed.
Wherein, described meteorological index is a day extreme wind speed.
Wherein, described step S101 also comprises the process of rejecting the excessive meteorological site of height above sea level and zone leveling height above sea level difference.
Wherein, among the described step S104, described interpolation calculation is successively carried out based on the administrative planar figure layer of scattergram layer and counties and districts of meteorological site in the zone to be analyzed.
Wherein, among the described step S105, the lodging probability in territory, described alternative county is not less than 80%, and the average annual cultivated area of corn is no less than 10,000 mu.
Another aspect of the present invention provides a kind of corn variety lodging resistance testing environment quantitative analysis system that realizes said method, comprising:
The regional environment data management module is used to obtain and stores, manages regional environment data to be analyzed, comprises the information such as soil types, liquid manure in meteorological site day Value Data, territory, county, the corn planting production information in territory, county;
Meteorological site probability calculation module, lodging classification in zone to be analyzed and meteorological index threshold value are set, according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability that different brackets lodges appears in moment;
Meteorological site probability county territory processing module, successively carry out the administrative planar figure layer interpolation calculation of the scattergram layer of meteorological site in the zone to be analyzed and counties and districts according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed;
The lodging probability distribution graph is made module, generates each grade lodging probability distribution graph of zone to be analyzed according to the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed.
Compared with prior art, advantage of the present invention is:
Method of the present invention is on the basis of planting environment data such as agronomy, meteorology, liquid manure and on-site inspection for many years, genesis mechanism in conjunction with lodging, the grade and the probability of each planting environment lodging being coerced generation carry out quantitative analysis, obtain grade and probability distribution information that generation is coerced in each planting environment lodging; With the highest some environment of each grade probability of happening as the alternative experimental enviroment that detects the new varieties lodging resistance, in conjunction with situations such as actual land for growing field crops, funds, personnel, the final experimental enviroment of determining to detect the corn variety lodging resistance.The present invention has developed the corn variety lodging resistance testing environment analytic system based on GIS also at this analytical approach, is used for the management of the required planting environment data of analytical approach, and analysis is coerced in the environment lodging, and the trade-off decision of lodging resistance testing environment.Corn variety lodging resistance testing environment analytical approach of the present invention can improve testing environment greatly the probability that lodging is coerced takes place, and improves the efficient that the corn variety lodging resistance detects; Infosystem of the present invention can improve the convenience that this analytical approach is implemented greatly, improves its using value.
Description of drawings
Fig. 1 is according to corn variety lodging resistance testing environment quantitative analysis method flow diagram of the present invention;
Fig. 2 show according in the embodiments of the invention between regional jointing-milk stage to be analyzed the part meteorological site probable value greater than 17 meter per second strong wind takes place;
Fig. 3 shows the probable value of coercing generation according to territory, area part to be analyzed county lodging at different levels in the embodiments of the invention;
The extremely seriously global view of lodging (greater than 17 meter per second strong wind) probability distribution graph takes place according to zone to be analyzed in the embodiments of the invention in Fig. 4;
The extremely seriously partial view of lodging (greater than 17 meter per second strong wind) probability distribution graph takes place according to zone to be analyzed in the embodiments of the invention in Fig. 5;
Fig. 6 is the global view that serious lodging (13-17 meter per second strong wind) probability distribution graph takes place according to zone to be analyzed in the embodiments of the invention;
Fig. 7 is the partial view that serious lodging (13-17 meter per second strong wind) probability distribution graph takes place according to zone to be analyzed in the embodiments of the invention;
Fig. 8 is the function interface synoptic diagram according to the meteorological site probability calculation module of the embodiment of the invention;
Fig. 9 is the function interface synoptic diagram according to the meteorological site probability county territory processing module of the embodiment of the invention;
Figure 10 is a function interface synoptic diagram of making module according to the lodging probability distribution graph of the embodiment of the invention;
Figure 11 shows the result of calculation of the meteorological site probability calculation module of the embodiment of the invention.
Embodiment
The present invention proposes, and is described as follows in conjunction with the accompanying drawings and embodiments.
Country eastern North China spring sowing corn district and the Yellow River and Huai He River sea summer sowing corn district are two big corn main producing regions, and embodiments of the invention are zone to be analyzed with this two big planting area.As shown in Figure 1, corn variety lodging resistance testing environment quantitative analysis method of the present invention may further comprise the steps:
S101: obtain and store regional environment data to be analyzed, comprise the information such as soil types, liquid manure in meteorological site day Value Data, territory, county, the corn planting production information in territory, county;
Obtain in the described zone weather data every day at least three ten years by a plurality of meteorological site in to be analyzed two big zones, described weather data comprises mean daily temperature, day maximum temperature, day minimum temperature, daily precipitation amount, day sunshine time, per day wind speed, day extreme wind speed, day maximum wind velocity.Wherein, described a plurality of meteorological site are evenly distributed in described zone to be analyzed, and will reject height above sea level and the excessive meteorological site of zone leveling height above sea level difference; Obtain the information such as soil types, liquid manure in regional Nei Xian to be analyzed territory; Obtain the corn planting production information in territory, county, must comprise the nearly 5 years corn average yield per mu in each county, zone to be analyzed, cultivated area data at least.
S102: zone to be analyzed lodging classification and meteorological index threshold value are set;
In causing the meteorologic factor of lodging, storm wind is the direct external force of corn lodging, therefore, the present invention is by to the analysis of this direct external force of storm wind at each territory, county environment probability of happening, obtains the environment that can fully detect the corn variety lodging resistance from treat favored area.
According to historical data pairing day extreme wind speed threshold value of different brackets lodging is set; By analysis to existing research document and historical data, the lodging in eastern North China spring sowing corn district and the Yellow River and Huai He River sea summer sowing corn district coerced to be divided into general lodging, the seriously lodging and the Three Estate that extremely seriously lodges, its corresponding respectively extreme wind speed value is as shown in table 1:
Table 1
In the specific implementation process,, can adjust according to the mechanism difference in zone for the analyzed area index choice, as can increasing other meteorological index and soil types, or even artificial controlled liquid manure, planting density or the like.
S103: according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability of different brackets lodging appears in moment;
Choose each meteorological site in the maximal value of jointing to " day extreme wind speed " between milk stage, do once statistics every year, time is The more the better (nearly at least 20 years), obtain several " day extreme wind speeds ", calculate these peaked average and standard deviations, and calculate the annual jointing of this website respectively to occurring between milk stage greater than 17 meter per seconds, greater than 13 meter per seconds and greater than the probability of 9 meters seconds " day extreme wind speed "; The probability that deducts greater than 17 meter per seconds greater than the probability of 13 meter per seconds is the probability that serious lodging takes place this website, and the probability that deducts greater than 13 meter per seconds greater than the probability of 9 meter per seconds is the probability that general lodging takes place this website.
In the specific implementation process, to the milking maturity time phase, what the present invention used is the farming time of each meteorological site for each meteorological site jointing, and the beginning and ending time difference of each meteorological site has been avoided the fixedly time shifting error brought of calendar time of unified use.
Fig. 2 show present embodiment between regional jointing-milk stage to be analyzed the part meteorological site probable value greater than 17 meter per second strong wind takes place.
S104: successively carry out interpolation calculation according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed, and generate regional lodging probability distribution graph at different levels;
The probability of happening of above-mentioned meteorological site Three Estate " day extreme wind speed " is imported in the scattergram layer of meteorological site, carry out interpolation respectively, obtain the probability that each the grade lodging of all interpolation points of whole zone to be analyzed takes place; Each counties and districts with the administrative planar figure layer of the counties and districts in zone to be analyzed are that object carries out the territory processing of probability county again, the average of promptly calculating all interpolation point probability in each counties and districts finally generates each grade lodging probability distribution graph of whole zone to be analyzed as the probability that each grade lodging takes place in these counties and districts.
Show the probable value of coercing generation for territory, the area part to be analyzed county lodging at different levels of present embodiment as Fig. 3; Fig. 4, the global view of extremely seriously lodging (greater than 17 meter per second strong wind) and serious lodging (13-17 meter per second strong wind) probability distribution graph takes place in 6 zones to be analyzed that are respectively present embodiment, from figure, can observe the overall distribution state that extremely serious lodging and serious lodging probability take place in this zone, Fig. 5, the partial view of extremely seriously lodging (greater than 17 meter per second strong wind) and serious lodging (13-17 meter per second strong wind) probability distribution graph takes place in 7 zones to be analyzed that are respectively present embodiment, can observe the probable value that extremely serious lodging and serious lodging take place in this intra-zone Fen Xian territory from figure.
S105: the territory, some alternative county of selecting each grade lodging according to each grade lodging probability size of each counties and districts in the described zone to be analyzed and corn planting production information.
Strong wind probability of happening to above-mentioned each 3 grade in territory, county is analyzed respectively, selects territory, alternative county according to the corn planting production information in each grade probable value size and territory, county.Preferably, choose that the lodging probability (had the strong wind that took place in 8 years with the corresponding value of grade that lodges in promptly 10 years at least) more than or equal to 80% and the average annual cultivated area of corn is no less than detection is coerced in 10,000 mu territory, county as lodging at different levels territory, alternative county.
At last, to the territory, alternative county of above-mentioned 3 grades, decision is used to detect the experimental enviroment of corn lodging resistance according to actual conditions such as each user's resource, cost, manpowers.
Probability distribution graph that generates by present embodiment and probable value form as can be known, probability has Jilin greater than 80% territory, county Dongfeng County, the Nangong City in Hebei, Julu County coerced in serious lodging.Learn that by inquiry territory, county maize sown area Dongfeng County's average cultivated area of corn in recent years surpasses 700,000 mu again, Nangong City and Julu County are also all above 100,000 mu, so these three counties and cities all can be used as the alternative testing environment of the anti-serious lodging of corn.
At last, in conjunction with situations such as actual land for growing field crops, funds, personnel, the final experimental enviroment of determining to detect the corn variety lodging resistance.
For realizing said method of the present invention, a kind of corn variety lodging resistance testing environment quantitative analysis system also is provided, comprising:
The regional environment data management module is used to obtain and stores, manages regional environment data to be analyzed, comprises the information such as soil types, liquid manure in meteorological site day Value Data, territory, county, the corn planting production information in territory, county;
Meteorological site probability calculation module, lodging classification in zone to be analyzed and meteorological index threshold value are set, according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability that different brackets lodges appears in moment;
Meteorological site probability county territory processing module, successively carry out the administrative planar figure layer interpolation calculation of the scattergram layer of meteorological site in the zone to be analyzed and counties and districts according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed;
The lodging probability distribution graph is made module, generates each grade lodging probability distribution graph of zone to be analyzed according to the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed.
Shown in Fig. 8-10, be respectively the meteorological site probability calculation module of the embodiment of the invention, meteorological site probability county territory processing module and lodging probability distribution graph are made the function interface synoptic diagram of module, as can be seen from the figure, the user can select meteorological site, meteorological index is set, select moment, phase characteristic and year border feature are set, calculate the lodging probability of happening of specifying the meteorological site particular year, and utilize these sampling point data values, by the space interpolation method, extrapolate the probable value of sampling point with exterior domain, and calculated value composed to county territory unit, and generate the probability distribution graph in whole zone to be analyzed thus.Be the result of calculation of the meteorological site probability calculation module of the embodiment of the invention as shown in figure 11.
Beneficial effect of the present invention: corn variety lodging resistance testing environment analytical approach of the present invention, can improve testing environment greatly the probability that lodging is coerced takes place, improve the efficient that the corn variety lodging resistance detects; Infosystem of the present invention can improve the convenience that this analytical approach is implemented greatly, improves its using value.
Above embodiment only is used to illustrate the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; under the situation that does not break away from the spirit and scope of the present invention; can also make various variations and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (7)
1. a corn variety lodging resistance testing environment quantitative analysis method is characterized in that, may further comprise the steps:
S101: obtain and store regional environment data to be analyzed, comprise the information such as soil types, liquid manure in day Value Data, the territory, county of meteorological site at least three ten years in the zone, the corn planting production information in territory, county;
S102: zone to be analyzed lodging classification and meteorological index threshold value are set;
S103: according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability of different brackets lodging appears in moment;
S104: carry out interpolation calculation according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed, and generate regional lodging probability distribution graph at different levels;
S105: the territory, some alternative county of selecting each grade lodging according to each grade lodging probability size of each counties and districts in the described zone to be analyzed and corn planting production information.
2. corn variety lodging resistance testing environment quantitative analysis method as claimed in claim 1 is characterized in that described a plurality of meteorological site are evenly distributed in described zone to be analyzed.
3. corn variety lodging resistance testing environment quantitative analysis method as claimed in claim 1 is characterized in that, described meteorological index is a day extreme wind speed.
4. corn variety lodging resistance testing environment quantitative analysis method as claimed in claim 1 is characterized in that, described step S101 also comprises the process of rejecting the excessive meteorological site of height above sea level and zone leveling height above sea level difference.
5. corn variety lodging resistance testing environment quantitative analysis method as claimed in claim 1 is characterized in that, among the described step S104, described interpolation calculation is successively carried out based on the administrative planar figure layer of scattergram layer and counties and districts of meteorological site in the zone to be analyzed.
6. corn variety lodging resistance testing environment quantitative analysis method as claimed in claim 1 is characterized in that among the described step S105, the lodging probability in territory, described alternative county is not less than 80%, and the average annual cultivated area of corn is no less than 10,000 mu.
7. a corn variety lodging resistance testing environment quantitative analysis system is characterized in that, comprising:
The regional environment data management module is used to obtain and stores, manages regional environment data to be analyzed, comprises the information such as soil types, liquid manure in meteorological site day Value Data, territory, county, the corn planting production information in territory, county;
Meteorological site probability calculation module, lodging classification in zone to be analyzed and meteorological index threshold value are set, according to described meteorological site day Value Data and each meteorological site of described meteorological index threshold calculations zone to be analyzed the probability that different brackets lodges appears in moment;
Meteorological site probability county territory processing module, successively carry out the administrative planar figure layer interpolation calculation of the scattergram layer of meteorological site in the zone to be analyzed and counties and districts according to described meteorological site lodging probable values at different levels, obtain the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed;
The lodging probability distribution graph is made module, generates each grade lodging probability distribution graph of zone to be analyzed according to the lodging probable values at different levels in territory, described regional Nei Ge county to be analyzed.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104036129A (en) * | 2014-06-06 | 2014-09-10 | 重庆市农业科学院 | Tea empoasca vitis gothe forecasting expert knowledge base and construction method for same |
| CN111626638A (en) * | 2020-06-05 | 2020-09-04 | 河南省气象科学研究所 | Construction and application of summer corn lodging meteorological grade evaluation model |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477595A (en) * | 2009-01-22 | 2009-07-08 | 中国农业大学 | Regional crop type proportion planning system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104036129A (en) * | 2014-06-06 | 2014-09-10 | 重庆市农业科学院 | Tea empoasca vitis gothe forecasting expert knowledge base and construction method for same |
| CN111626638A (en) * | 2020-06-05 | 2020-09-04 | 河南省气象科学研究所 | Construction and application of summer corn lodging meteorological grade evaluation model |
| CN111626638B (en) * | 2020-06-05 | 2024-02-02 | 河南省气象科学研究所 | Construction and application of summer corn lodging meteorological grade assessment model |
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