Multi-cycle rice drought tolerance evaluation method and system based on multi-index comprehensive evaluation model

Abstract

The invention provides a multi-cycle rice drought tolerance evaluation method and system based on a multi-index comprehensive evaluation model, and the method comprises the following steps: obtaining growth parameters of rice in different growth cycles, screening the growth parameters, obtaining corresponding key growth parameters, and calculating the drought tolerance of the rice according to the key growth parameters; according to the key growth parameters, constructing a multi-index comprehensive evaluation model corresponding to different growth cycles of the rice; setting different planting environment parameters, performing experimental cultivation on the to-be-evaluated rice variety, collecting actual key growth parameters and actual planting parameters of the to-be-evaluated rice variety in different growth cycles in the experimental cultivation process, and substituting the actual growth parameters and the actual planting parameters into the multi-index comprehensive evaluation model for calculation, preliminary evaluation results corresponding to different growth cycles are obtained; performing weighted fusion on the plurality of preliminary evaluation results to obtain a final evaluation result; the method provided by the invention can more completely reflect the drought-enduring characteristic of the rice in the whole growth process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of agricultural production, more particularly to a multi-period rice drought tolerance evaluation method and system based on a multi-index comprehensive evaluation model. BACKGROUND

[0002] At present, rice drought tolerance refers to the ability of a plant to maintain physiological activities and growth and development when water is insufficient, and is mainly realized through mechanisms such as optimizing root structure and improving water use efficiency, and drought tolerance identification is a process of identifying, screening and evaluating rice drought tolerance. Accurate identification of drought tolerance of rice breeding materials and varieties is the prerequisite and foundation for breeding drought-tolerant rice varieties, and how to improve the drought tolerance of rice varieties has become one of the important issues of concern to breeders.

[0003] However, the existing technology mainly evaluates the drought tolerance of rice through physiology, biochemistry and other aspects, but the evaluation of rice drought tolerance is generally only for a single growth cycle, and there are problems of single and incomplete drought tolerance evaluation

[0004] Therefore, how to provide a multi-period rice drought tolerance evaluation method that can solve the above problems is a problem that those skilled in the art need to solve. SUMMARY

[0005] Therefore, the present application provides a multi-period rice drought tolerance evaluation method and system based on a multi-index comprehensive evaluation model, which can more completely reflect the drought tolerance characteristics of rice in the whole growth process by covering different growth periods of rice and constructing an evaluation model combining multi-dimensional parameters such as growth and development and growth environment.

[0006] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0007] A multi-period rice drought tolerance evaluation method based on a multi-index comprehensive evaluation model, comprising the following steps:

[0008] Obtain growth parameters of rice in different growth periods, select the growth parameters to obtain corresponding key growth parameters, and construct a multi-index comprehensive evaluation model corresponding to different growth periods of rice according to the key growth parameters;

[0009] Set different planting environment parameters, experimentally cultivate the rice variety to be evaluated, collect actual key growth parameters and actual planting parameters of the rice variety to be evaluated in different growth periods during the experimental cultivation, and substitute the actual growth parameters and actual planting parameters into the multi-index comprehensive evaluation model for calculation to obtain preliminary evaluation results corresponding to different growth periods;

[0010] The plurality of preliminary evaluation results are weighted and fused to obtain the final evaluation result.

[0011] Preferably, the specific processing procedure for obtaining the final evaluation result comprises:

[0012] An index weight decision model is constructed, and the key growth parameters, actual planting parameters and corresponding growth periods are input into the index weight decision model for processing to obtain the weights of different growth periods.

[0013] The preliminary evaluation results are weighted and fused in combination with the weights to obtain the final evaluation result.

[0014] Preferably, the specific processing procedure for constructing the multi-index comprehensive evaluation model corresponding to different growth cycles comprises:

[0015] Growth parameters of rice in different growth cycles are obtained, wherein the growth parameters comprise growth and development index parameters and growth environment index parameters.

[0016] The growth environment index parameters are screened according to the growth and development index parameters to obtain corresponding key growth parameters, wherein the key growth parameters comprise key growth environment parameters.

[0017] A multi-index comprehensive evaluation model of the growth and development index parameters and the key growth environment parameters in different growth cycles is established.

[0018] Preferably, the specific processing procedure for obtaining the corresponding key growth parameters comprises:

[0019] The growth and development index parameters and the growth environment index parameters are subjected to correlation analysis.

[0020] The correlation analysis results are compared with a preset threshold value, and key growth parameters with correlation analysis results greater than the preset threshold value are selected.

[0021] Preferably, the specific processing procedure for obtaining the final evaluation result further comprises:

[0022] The actual key growth parameters are analyzed to determine corresponding drought resistance classification threshold values.

[0023] The relationship between the evaluation results and the drought resistance classification threshold values is analyzed to determine the drought resistance classification result of the to-be-evaluated rice variety.

[0024] The application further provides a multi-cycle rice drought resistance evaluation system based on a multi-index comprehensive evaluation model, comprising:

[0025] A model construction module is configured to acquire growth parameters of rice in different growth periods, filter the growth parameters to obtain corresponding key growth parameters, and construct a multi-index comprehensive evaluation model corresponding to the rice in different growth periods according to the key growth parameters;

[0026] A simulation module is configured to set different planting environment parameters, experimentally cultivate the rice varieties to be evaluated, collect actual key growth parameters and actual planting parameters of the rice varieties to be evaluated in different growth periods in the experimental cultivation process, and input the actual growth parameters and actual planting parameters into the multi-index comprehensive evaluation model for calculation to obtain preliminary evaluation results corresponding to different growth periods;

[0027] A calculation module is configured to weight and fuse a plurality of preliminary evaluation results to obtain a final evaluation result.

[0028] According to the above technical solution, compared with the prior art, the present application provides a multi-period rice drought tolerance evaluation method and system based on a multi-index comprehensive evaluation model, which has the following beneficial effects:

[0029] 1. The present application can more completely reflect the drought tolerance characteristics of rice in the entire growth process by covering different growth periods of rice, combining multi-dimensional parameters such as growth and development and growth environment, and constructing an evaluation model; the responses of different growth periods to drought are significantly different, and the periodic evaluation can accurately capture the drought tolerance performance at each stage, avoiding evaluation deviation caused by neglecting the key period;

[0030] 2. The present application eliminates redundant indexes with low correlation degree with growth and development by setting a filtering process of key growth parameters, focuses on core parameters, reduces data processing amount and improves efficiency, ensures the effectiveness of model input, reduces irrelevant factor interference, and makes the preliminary evaluation result more in line with the actual drought tolerance;

[0031] 3. The combination of the multi-index comprehensive evaluation model and the index weight decision model established by the present application realizes the scientific evaluation logic of "multi-dimensional parameter input + dynamic weight allocation", multi-index fusion avoids one-sidedness of a single parameter, and the weight decision model dynamically allocates weights according to the growth period and parameter characteristics, so that the final result after weighted fusion can objectively reflect the contribution difference of different periods and improve the scientificity and rationality of the evaluation;

[0032] 4. The present application collects actual parameters through experimental cultivation and inputs them into the model for calculation, the process is clear and operable, and finally the classification result is obtained in combination with the drought tolerance classification threshold, which can intuitively reflect the drought tolerance grade of the rice variety and help to improve the yield stability of rice under drought conditions. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below only constitute a part of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of the provided drawings.

[0034] Figure 1 A flow chart of a multi-period drought tolerance evaluation method for rice based on a multi-index comprehensive evaluation model is provided.

[0035] Figure 2 A structure principle block diagram of a multi-period drought tolerance evaluation system for rice based on a multi-index comprehensive evaluation model is provided. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0037] Referring to Figure 1 The embodiments of the present application disclose a multi-period drought tolerance evaluation method for rice based on a multi-index comprehensive evaluation model, comprising the following steps:

[0038] Obtaining growth parameters of rice in different growth periods, screening the growth parameters to obtain corresponding key growth parameters, and constructing a multi-index comprehensive evaluation model corresponding to the rice in different growth periods according to the key growth parameters;

[0039] Setting different planting environment parameters, experimentally cultivating the rice varieties to be evaluated, collecting actual key growth parameters and actual planting parameters of the rice varieties to be evaluated in different growth periods in the experimental cultivation process, and substituting the actual growth parameters and actual planting parameters into the multi-index comprehensive evaluation model for calculation to obtain preliminary evaluation results corresponding to different growth periods;

[0040] Weighted fusion of the multiple preliminary evaluation results to obtain the final evaluation result.

[0041] In a specific embodiment, the specific processing process of obtaining the final evaluation result comprises:

[0042] Constructing an index weight decision model, and inputting the key growth parameters, actual planting parameters and corresponding growth periods into the index weight decision model for processing to obtain the weights of different growth periods;

[0043] The preliminary evaluation results are combined and weighted to obtain the final evaluation results.

[0044] Specifically, the specific processing process of obtaining the final evaluation results can further include:

[0045] The planting requirements of different planting areas are obtained and parsed, the corresponding growth environment parameters and drought tolerance grade requirements are determined from the planting requirements, and the growth environment parameters, drought tolerance grade requirements, key growth parameters, actual planting parameters, and corresponding growth periods are simultaneously input into the index weight decision model for processing. The actual planting conditions of the rice varieties to be evaluated are considered when determining the weights of different growth periods, the environmental adaptability is improved, and the coordination with the regional environment is realized.

[0046] The index weight decision model can be a fuzzy neural network. The fuzzy neural network automatically learns the correlation between indexes in the data and generates reasonable weight distribution.

[0047] In one specific embodiment, the specific processing process of constructing a multi-index comprehensive evaluation model corresponding to different growth cycles includes:

[0048] The growth parameters of rice in different growth cycles are obtained, wherein the growth parameters include growth and development index parameters and growth environment index parameters. The growth and development index parameters include survival rate and total root length, and the growth environment index parameters include light cycle, temperature, and humidity. When the method provided by the present application is applied, three growth cycles of rice can be selected for growth parameter collection, namely seedling stage (15-30 days after sowing), tillering stage (31-60 days), and heading stage (61-90 days). Three types of parameters are collected in each cycle, and the growth parameters are screened to obtain corresponding key growth parameters. The finally determined key growth parameters are specifically:

[0049] Growth parameters: survival rate is recorded by regular observation (daily statistics of seedling survival number / total number of seedlings*100%);

[0050] Growth environment index parameters: light cycle (h / d), daily average temperature (℃), and daily average humidity (%) are recorded by related sensors, and data is automatically stored every hour. The specific measurement results obtained are shown in Table 1.

[0051] Table 1 Experimental measurement results

[0052]

[0053] The growth and development index parameters are screened according to the growth environment index parameters to obtain corresponding key growth parameters, wherein the key growth parameters include key growth environment parameters.

[0054] A multi-index comprehensive evaluation model of the growth development index parameters and the key growth environment parameters in different growth periods is established, and the multi-index comprehensive evaluation model can be realized by spss software analysis.

[0055] In a specific embodiment, the specific processing procedure for obtaining the corresponding key growth parameters includes:

[0056] Correlation analysis is performed on the growth development index parameters and the growth environment index parameters.

[0057] The correlation analysis result is compared with a preset threshold value, and the key growth parameters with a correlation analysis result greater than the preset threshold value are selected.

[0058] In a specific embodiment, the specific processing procedure for obtaining the final evaluation result further includes:

[0059] The actual key growth parameters are analyzed to determine the corresponding drought resistance classification threshold value.

[0060] According to the relationship between the evaluation result and the drought resistance classification threshold value, the drought resistance classification result of the to-be-evaluated rice variety is determined.

[0061] Specifically, the specific procedure for analyzing the actual key growth parameters to determine the corresponding drought resistance classification threshold value can include the following steps:

[0062] According to the actual key growth parameters, the corresponding growth curve is determined, and the growth curve is analyzed to obtain the corresponding change trend.

[0063] From the change trend, a turning point is selected, and after normalization of the corresponding evaluation result, the normalized turning data and the evaluation result are subjected to cluster analysis to obtain the corresponding actual drought resistance classification threshold value. Compared with the preset drought resistance classification threshold value, the embodiment of the present application can improve the accuracy of data processing through the above analysis procedure, and ensure that the threshold value corresponds to the key node of plant physiology.

[0064] Referring to Figure 2 The embodiment of the present application also provides a system for evaluating the drought resistance of multi-period rice based on the multi-index comprehensive evaluation model according to any one of the above embodiments, which comprises:

[0065] A model construction module is configured to obtain growth parameters of rice in different growth periods, filter the growth parameters to obtain corresponding key growth parameters, and construct a multi-index comprehensive evaluation model of rice in different growth periods according to the key growth parameters.

[0066] The simulation module is configured to set different planting environment parameters, to carry out experimental cultivation on the to-be-evaluated rice varieties, to collect actual key growth parameters and actual planting parameters of the to-be-evaluated rice varieties in different growth periods during the experimental cultivation, and to input the actual growth parameters and the actual planting parameters into the multi-index comprehensive evaluation model to obtain preliminary evaluation results corresponding to different growth periods.

[0067] The calculation module is configured to perform weighted fusion on the plurality of preliminary evaluation results to obtain a final evaluation result.

[0068] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the device disclosed by the embodiments, since it corresponds to the method disclosed by the embodiments, the description is relatively simple, and the related parts can be referred to the method part.

[0069] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-period drought tolerance evaluation method based on a multi-index comprehensive evaluation model, characterized in that, The method comprises the following steps: obtaining growth parameters of rice in different growth periods, screening the growth parameters to obtain corresponding key growth parameters, and constructing a multi-index comprehensive evaluation model corresponding to the rice in different growth periods according to the key growth parameters; setting different planting environment parameters, experimentally cultivating the rice variety to be evaluated, collecting actual key growth parameters and actual planting parameters of the rice variety to be evaluated in different growth periods during the experimental cultivation, and inputting the actual growth parameters and actual planting parameters into the multi-index comprehensive evaluation model to obtain preliminary evaluation results corresponding to different growth periods; weighting and fusing the multiple preliminary evaluation results to obtain the final evaluation result. 2.The multi-period drought tolerance evaluation method of rice based on the multi-index comprehensive evaluation model according to claim 1, characterized in that, The specific processing process for obtaining the final evaluation result comprises: constructing an index weight decision model, inputting the key growth parameters, actual planting parameters and corresponding growth periods into the index weight decision model for processing to obtain the weight of different growth periods; weighting and fusing the preliminary evaluation results combined with the weight to obtain the final evaluation result. 3.The multi-period drought tolerance evaluation method of rice based on the multi-index comprehensive evaluation model according to claim 1, characterized in that, The specific processing process for constructing the multi-index comprehensive evaluation model corresponding to different growth periods comprises: obtaining growth parameters of rice in different growth periods, wherein the growth parameters comprise growth and development index parameters and growth environment index parameters; screening the growth environment index parameters according to the growth and development index parameters to obtain corresponding key growth parameters, wherein the key growth parameters comprise key growth environment parameters; establishing a multi-index comprehensive evaluation model of the growth and development index parameters and the key growth environment parameters in different growth periods. 4.The multi-period drought tolerance evaluation method of rice based on the multi-index comprehensive evaluation model according to claim 2, characterized in that, The specific processing process for obtaining the corresponding key growth parameters comprises: performing correlation analysis on the growth and development index parameters and the growth environment index parameters; comparing the correlation analysis results with a preset threshold to select key growth parameters whose correlation analysis results are greater than the preset threshold. 5.The multi-period drought tolerance evaluation method of paddy rice based on the multi-index comprehensive evaluation model according to claim 2, characterized in that, The specific processing process for obtaining the final evaluation result further comprises: analyzing the actual key growth parameters to determine corresponding drought resistance classification threshold values; analyzing the relationship between the evaluation result and the drought resistance classification threshold values to determine the drought resistance classification result of the rice variety to be evaluated.

6. A system for multi-period drought tolerance evaluation of rice using the multi-index comprehensive evaluation model-based multi-period drought tolerance evaluation method according to any one of claims 1-5, characterized in that, The method comprises: a model construction module for obtaining growth parameters of rice in different growth periods, screening the growth parameters to obtain corresponding key growth parameters, and constructing a multi-index comprehensive evaluation model corresponding to the rice in different growth periods according to the key growth parameters; a simulation module for setting different planting environment parameters, experimentally cultivating the rice variety to be evaluated, collecting actual key growth parameters and actual planting parameters of the rice variety to be evaluated in different growth periods during the experimental cultivation, and inputting the actual growth parameters and actual planting parameters into the multi-index comprehensive evaluation model to obtain preliminary evaluation results corresponding to different growth periods; a calculation module for weighting and fusing the multiple preliminary evaluation results to obtain the final evaluation result.

Images