A quantitative statistical method for cotton boll development status

Abstract

The invention discloses a quantitative statistical method for the development state of cotton bolls, and the steps are as follows: 1. In the required growth period of cotton, select individual plants and groups, and record the development state and position of cotton bolls of the cotton plants; 2. The corresponding state values ​​of the shedding, buds, flowers, young bolls, mature bolls, and cotton-opening are recorded respectively; 3. The quantitative statistical method for the development state of cotton bolls is divided into individual plant and group statistical methods; 4. The group statistical method is based on the individual plant statistical method to count the group cotton; 5. (x i ,y j ) was used to calculate the weight value of the boll development status at different spatial positions of the cotton plant, and the calculated boll development status at each coordinate position was gridded by the Kriging interpolation method, and finally a two-dimensional contour map was generated using the Surfer software. The method is easy to implement and simple to operate. It can quantify the boll development process and intuitively analyze the boll development status at different spatial positions of a single plant or a group, which is of great significance for accurately grasping the growth process of the cotton plant.

Description

Technical Field

[0001] The present invention relates to the fields of agricultural planting and scientific research, and more specifically to a quantitative statistical method for the development status of cotton bolls. Background Art

[0002] Cotton is an economic crop with unlimited growth habits. The development of cotton bolls varies greatly during the cotton growth cycle. In previous cotton cultivation, the development status of cotton bolls often represents the different growth stages of cotton. In different growth stages, corresponding cultivation measures are required for management, such as chemical regulation during the cotton bud stage, top dressing and topping during the flowering stage, and defoliant spraying during the boll opening stage.

[0003] In addition, understanding the spatial distribution of cotton boll development status is also of great significance for studying the sink-source relationship of cotton plants. Previous studies on the spatial distribution of cotton bolls used the spatial distribution of a single cotton boll development status, that is, only one cotton boll development status was displayed in the contour line identification map drawn by the Surfer software. For example, if the cotton boll opening rate is required, only the cotton boll opening rate is calculated, that is, the number of cotton bolls that have reached the opening state is counted, and the cotton bolls that have not reached the opening state are not counted, and the cotton bolls in other development states are not weighted. Statistics. If other cotton boll development states need to be displayed, it is necessary to draw the identification map again, resulting in two or more identification maps to express, which not only increases the workload, but also is not convenient for intuitive observation and analysis. This method greatly reduces the understanding of the cotton boll development status of individual or group cotton plants, and cannot fully express the growth process of group cotton plants. To solve this problem, a weight analysis method that can include statistics of multiple cotton boll development states is needed to fully express the growth process of cotton plants. Summary of the invention

[0004] In view of the problems existing in the existing methods, the purpose of the present invention is to provide a quantitative statistical method that can include multiple cotton boll development states and perform weight analysis. The method is easy to implement and simple to operate. It can intuitively analyze the cotton boll development states of individual plants or groups in different spatial positions and quantify the cotton boll development process, which is of great significance for accurately grasping the growth process of cotton plants.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical measures:

[0006] A quantitative statistical method for cotton boll development status, comprising the following steps:

[0007] A. In the required cotton growth period, select individual plants and groups, and record the development status and position of cotton bolls; among them, the development status of cotton bolls is divided into shedding, bud, flower, young boll, mature boll, and cotton boll opening, and the position of cotton bolls is calculated according to (x i ,y j ), i and j represent the fruit node sequence and fruit branch sequence respectively;

[0008] B. According to the abscission, bud, flower, young boll, mature boll and boll opening described in step A, the corresponding state values ​​are recorded as 0, 0.2, 0.4, 0.6, 0.8 and 1 respectively, and the positions of the cotton bolls are recorded as (1,1), (1,2) ..., (2,1), (2,2) ... in sequence, wherein the fruit node sequence is arranged from near to far from the main stem of the cotton plant, and the fruit branch sequence is arranged from bottom to top of the fruit branches of the cotton plant.

[0009] C. The quantitative statistical method for the development status of cotton bolls according to step A is divided into two statistical methods: single plant and group; the single plant statistical method is to record the development status value of a selected cotton boll according to different spatial positions, and the group statistical method is to record multiple selected cotton plants based on the single plant statistical method.

[0010] D. The population statistical method described in step C is applicable when counting a number of cotton plants, and the calculation formula is:

[0011]

[0012] Where: (x i ,y j ) represents the weight value of the cotton boll development state at the cotton plant (x i ,y j ) represents the quantitative value of the cotton boll development status at the coordinate, n represents the cotton boll development status value 0, 0.2, 0.4, 0.6, 0.8, 1; (number of plants in development status n) represents the number of plants in the corresponding states of shedding, bud, flower, young boll, mature boll, and boll opening among the counted plants m.

[0013] E. In the quantitative statistical method, the same (x i ,y j ) If the boll at the coordinate contains one or more fallen ones, then the corresponding statistical number of plants m is subtracted from the number of fallen ones m0.

[0014] F. In the quantitative statistical method, when the number of fruit nodes in the same fruit branch sequence of the cotton plants being counted is different, the minimum number of fruit nodes in the same fruit branch sequence is taken as the maximum statistical number of fruit nodes in the group, and the excess fruit nodes except the maximum statistical number of fruit nodes in other cotton plants are discarded.

[0015] G. The calculated weight values ​​of the cotton boll development status at each coordinate position are gridded using the Kriging interpolation method, and finally a two-dimensional contour map is generated using Surfer software.

[0016] Furthermore, in the two methods in step C, the single plant statistical method records the development status value of a selected cotton boll at different spatial positions; the group statistical method records multiple selected cotton plants based on the single plant statistical method.

[0017] Through the above technical measures: the key steps are B and D, wherein step B numerically represents the development state of cotton bolls, that is, the development process of cotton bolls is represented from 0 to 1. Because the shedding or rotten bolls of cotton bolls have uncertainty in the actual statistical development state of cotton bolls, the development state of the shedding cotton bolls cannot be determined, so its development state value is set to 0. The formula shown in step D is a method for calculating the development state of cotton bolls at different positions of cotton plants. The formula weights the development state of cotton bolls at the same position of different cotton plants, which helps to accurately grasp the development process of cotton bolls at different spatial positions of cotton plants, and is of great significance for understanding the growth process of the whole cotton plant. In the past, the survey on the growth process of cotton plants was that if more than 50% of the selected cotton plants reached a certain development state, it was considered to have reached the corresponding growth period, which completely ignored the information statistics of other cotton bolls on the cotton plants and could only be used as a rough survey method. The method of the present invention digitizes cotton bolls in different development states, then performs weight statistics on cotton bolls in different development states, and finally obtains the weight values ​​of the development state of cotton bolls at different spatial positions of cotton plants. The present invention fully considers the differences between groups and abandons the simple proportion statistics of a certain developmental state. It is highly representative in describing the development process of cotton bolls in different spatial locations, and can provide a reliable method and data support for the investigation and research on the growth process of cotton bolls in the field of cotton cultivation and breeding.

[0018] 37,500 cotton plants / hm2 -2 Taking the density group as an example, in a survey on September 15, 2021, 8 representative and continuous cotton plants were selected. The recorded values ​​and weight values ​​of the boll development status of the third and fourth fruit branches of the selected cotton plants are shown in Table 1 and Table 2 respectively:

[0019] Table 1 Record values ​​and weight values ​​of cotton boll development status on the third fruit branch

[0020]

[0021] Table 2 Record values ​​and weight values ​​of cotton boll development status on the fourth fruit branch

[0022]

[0023] According to the recorded values ​​of the boll development status, the weight values ​​of the boll development status of the 1st and 2nd fruit nodes on the 3rd fruit branch are both 1, that is, the bolls at this position are completely vomited, the 3rd and 4th fruit nodes are 0.91 and 0.87 respectively, which means that the bolls at this position have not completely vomited or are about to vomit, the 5th fruit node is 0.2, indicating that the boll development state is mostly in the bud stage, and the 6th fruit node is 0, indicating that there are more buds falling at this position. The bolls at the 1st and 2nd fruit nodes of the 4th fruit branch have also completely vomited, the 3rd and 4th fruit nodes are 0.83 and 0.8 respectively, indicating that the bolls at this position are basically in the boll stage, and the 5th and 6th fruit nodes are both 0, indicating that there are more buds falling at this position or there are no young buds. From the obtained data, it can be seen that the growth process of the cotton plant on the 4th fruit branch is slightly smaller than that of the 3rd fruit branch, and the growth process of the outer fruit nodes is smaller than that of the inner fruit nodes, which is consistent with the development characteristics of the tower structure of the cotton plant.

[0024] Compared with the prior art, the present invention has the following advantages and effects:

[0025] The present invention uses the above technical solution to digitize cotton bolls in different developmental states, then performs weight statistics on cotton bolls in different developmental states, and finally obtains the weight values ​​of cotton boll developmental states at different spatial positions of cotton plants. The present invention fully considers the differences between groups, abandons the weight statistics of a single developmental state, and has a strong representativeness in describing the development process of cotton bolls at different spatial positions, and can provide a reliable method and data support for the investigation and research of cotton boll growth process in the field of cotton cultivation and breeding. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Schematic diagram of a quantitative statistical method for cotton boll development status.

[0027] Figure 2 Schematic diagram of a method for recording cotton boll development status in a quantitative statistical method for cotton boll development status.

[0028] Figure 3 This is a schematic diagram of the numerical development status of cotton bolls in a quantitative statistical method for the development status of cotton bolls.

[0029] Figure 4 This is a schematic diagram of counting the development status of cotton bolls by coordinate position in a quantitative statistical method for the development status of cotton bolls.

[0030] Figure 5 is a quantitative statistical method for the development status of cotton bolls, and is obtained by statistics (x i ,y j ,z) type data schematic diagram.

[0031] Figure 6 It is a two-dimensional contour map calculated by software in a quantitative statistical method for the development status of cotton bolls. DETAILED DESCRIPTION

[0032] Embodiment 1:

[0033] according to Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 and 6 It can be seen that a quantitative statistical method for the development status of cotton bolls comprises the following steps:

[0034] A. In the required cotton growth period, select individual plants and groups (one or several cotton plants) and record the development status and position of cotton bolls; among them, the development status of cotton bolls is divided into shedding, bud, flower, young boll, mature boll, and cotton boll opening, and the position of cotton bolls is calculated according to (x i ,y j ), i and j represent the fruit node sequence and fruit branch sequence respectively;

[0035] B. According to the abscission, bud, flower, young boll, mature boll and boll opening described in step A, the corresponding state values ​​are recorded as 0, 0.2, 0.4, 0.6, 0.8 and 1 respectively, and the positions of the cotton bolls are recorded as (1,1), (1,2) ..., (2,1), (2,2) ... in sequence, wherein the fruit node sequence is arranged from near to far from the main stem of the cotton plant, and the fruit branch sequence is arranged from bottom to top of the fruit branches of the cotton plant.

[0036] C. The quantitative statistical method for the development status of cotton bolls described in step A is divided into two statistical methods: single plant and group.

[0037] D. The population statistical method described in step C is applicable when counting a number of cotton plants, and the calculation formula is:

[0038]

[0039] Where: (x i ,y j ) represents the weight value of the cotton boll development status at , n represents the cotton boll development status values ​​0, 0.2, 0.4, 0.6, 0.8, 1; (development status n) represents the number of plants in the corresponding states of shedding, bud, flower, young boll, mature boll, and boll opening among the counted plants m.

[0040] E. In the quantitative statistical method, the same (x i ,y j ) coordinates contain one or more fallen (rotten) bolls, then the corresponding statistical number of plants m minus the number of fallen bolls m0, at this time

[0041] F. In the quantitative statistical method, when the number of fruit nodes in the same fruit branch sequence of the cotton plants being counted is different, the minimum number of fruit nodes in the same fruit branch sequence is taken as the maximum statistical number of fruit nodes in the group, and the excess fruit nodes except the maximum statistical number of fruit nodes in other cotton plants are discarded.

[0042] G. The calculated weight values ​​of the cotton boll development status at each coordinate position are gridded using the Kriging interpolation method, and finally a two-dimensional contour map is generated using Surfer software.

[0043] Furthermore, in the two methods in step C, the single plant statistical method records the development status value of a selected cotton boll at different spatial positions; the group statistical method records multiple selected cotton plants based on the single plant statistical method.

[0044] Through the above specific technical scheme, cotton bolls in different developmental states are quantified, and then the proportions of cotton bolls in different developmental states are statistically analyzed, and finally the weight values ​​of cotton boll developmental states at different spatial positions of cotton plants are obtained. This technical scheme fully considers the differences between groups, abandons the simple proportion statistics of a certain developmental state, and has a strong representativeness in describing the development process of cotton bolls in different spatial positions. It can provide a reliable method and data support for the investigation and research of cotton boll growth process in the field of cotton cultivation and breeding.

[0045] Embodiment 2:

[0046] The specific implementation of the present invention is described in detail below with reference to the drawings:

[0047] Take the field survey data of the cotton area in the Yangtze River Basin on August 15, 2021 as an example. The cotton growth period during this period is the flowering and boll stage. The boll development status includes five types: falling, bud, flowering, young boll, and mature boll. The field survey records include fruit branch sequence, fruit node sequence, and boll development status. Use a notebook to record the field, then enter it into an Excel spreadsheet and organize it. The organized data is in the form of (x i ,y j ,z) type. To investigate cotton plants, select 10 consecutive representative plants in the test plot, record the development status of fruit branches and fruit nodes, and mark the combined coordinates of fruit branch sequence and fruit node sequence as follows: Figure 1 , some of the original data formats recorded are as follows Figure 2 As shown, a, b, c, d, and e represent buds, flowers, young bells, mature bells, and fallen bells, respectively. Figure 2 The letters in the table shown are converted into cotton boll development status values. Some data are as follows Figure 3 As shown, at this time, the cotton boll development status values ​​of each individual plant at different spatial positions are obtained.

[0048] The same (x i ,y j ) coordinates to statistically classify the cotton boll development status values. Some data are as follows Figure 4 As shown, it can be seen that in the same spatial position, the development status of cotton bolls in different cotton plants is still different. If you want to objectively analyze the growth process of cotton bolls in this spatial position, you need to use the formula: Calculate the difference (x i ,y j ) coordinates, the weight value of the cotton boll development state, the calculated partial data are as follows Figure 5 As shown, at this time (x i ,y j ,z) type data, the kriging interpolation method of Surfer software is used to interpolate the data, and then the data is gridded, and finally a two-dimensional contour map is drawn. The two-dimensional contour map is shown in Figure 6 As shown in the figure, the dark and light colors represent the large and small weight values ​​of the cotton boll development state at that location, which directly reflects the cotton boll development process. Figure 6 It can be seen that, in general, at the same fruit node, the cotton bolls with smaller fruit branches develop faster; on the same fruit branch, the cotton bolls with smaller fruit nodes develop faster.

[0049] The specific implementation steps are the same as those in Example 1.

[0050] By adopting the quantitative statistical method of cotton boll development state provided by the present invention, cotton bolls in different development states are quantified, and then the proportion of cotton bolls in different development states is statistically analyzed, and finally the weight values ​​of cotton boll development states at different spatial positions of cotton plants are obtained, thereby intuitively displaying the development process of cotton bolls at different positions of cotton plants. The present invention fully considers the differences between groups, abandons the simple proportion statistics of a certain development state, has strong representativeness in describing the development process of cotton bolls at different spatial positions, and can provide a reliable method and data support for the investigation and research of cotton boll growth process in the field of cotton cultivation and breeding.

[0051] The above embodiments and drawings are only applicable to illustrate the present invention. If the implementation steps of the method are changed, any equivalent transformations and improvements based on the technical solution of the present invention should not be excluded from the protection scope of the present invention.

Claims

1. A quantitative statistical method for the development status of cotton bolls, comprising the following steps: A. In the required cotton growth period, select individual plants and groups, and record the development status and position of cotton bolls; among them, the development status of cotton bolls is divided into shedding, bud, flower, young boll, mature boll, and cotton boll opening, and the position of cotton bolls is calculated according to (x i ,y j ), i and j represent the fruit node sequence and fruit branch sequence respectively; B. According to the abscission, bud, flower, young boll, mature boll and boll opening described in step A, the corresponding state values ​​are recorded as 0, 0.2, 0.4, 0.6, 0.8 and 1 respectively, and the positions of the cotton bolls are recorded as (1, 1), (1, 2), ..., (2, 1), (2, 2), ... in sequence, wherein the fruit node sequence is arranged from near to far from the main stem of the cotton plant, and the fruit branch sequence is arranged from bottom to top for the fruit branches of the cotton plant; C. The quantitative statistical method for the development status of cotton bolls is divided into two statistical methods: single plant and group; D. The population statistical method described in step C is applicable when the cotton plants are counted, and the calculation formula is: Where: x i ,y j The quantitative value of the boll development state at the coordinate, n represents the boll development state value 0, 0.2, 0.4, 0.6, 0.8, 1; the number of plants in the development state n represents the number of plants in the corresponding states of shedding, bud, flower, young boll, mature boll, and boll opening among the statistical plants m; E. In the quantitative statistical method, the same (x i ,y j ) coordinate contains one or more fallen bolls, then the corresponding statistical number of plants m minus the number of fallen bolls m0, at this time F. In the quantitative statistical method, when the number of fruit nodes in the same fruit branch sequence of the cotton plants being counted is different, the minimum number of fruit nodes in the same fruit branch sequence is taken as the maximum number of fruit nodes in the group, and the excess fruit nodes other than the maximum number of fruit nodes in other cotton plants are discarded; G. The calculated weight values ​​of the cotton boll development status at each coordinate position are gridded using the Kriging interpolation method, and finally a two-dimensional contour map is generated using Surfer software.

2. The quantitative statistical method for cotton boll development status according to claim 1, characterized in that: The two methods in step C are: the single plant statistical method records the development status value of a selected cotton boll at different spatial positions; the group statistical method records multiple selected cotton plants based on the single plant statistical method.

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