CN109146270B - Establishment method of vegetable seedling strengthening index - Google Patents
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- 235000013311 vegetables Nutrition 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000005728 strengthening Methods 0.000 title description 4
- 238000011156 evaluation Methods 0.000 claims abstract description 36
- 239000011159 matrix material Substances 0.000 claims description 16
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 claims description 8
- 239000002131 composite material Substances 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 235000021466 carotenoid Nutrition 0.000 claims description 4
- 150000001747 carotenoids Chemical class 0.000 claims description 4
- 229930002875 chlorophyll Natural products 0.000 claims description 4
- 235000019804 chlorophyll Nutrition 0.000 claims description 4
- 229930002868 chlorophyll a Natural products 0.000 claims description 4
- 229930002869 chlorophyll b Natural products 0.000 claims description 4
- NSMUHPMZFPKNMZ-VBYMZDBQSA-M chlorophyll b Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C=O)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 NSMUHPMZFPKNMZ-VBYMZDBQSA-M 0.000 claims description 4
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000012417 linear regression Methods 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 25
- 240000003768 Solanum lycopersicum Species 0.000 description 25
- 241000196324 Embryophyta Species 0.000 description 22
- 239000000049 pigment Substances 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000012847 principal component analysis method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
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Abstract
The invention discloses a method for establishing a vegetable seedling strong seedling index, which specifically comprises the following steps: measuring the single quality index of the vegetable seedlings; determining a comprehensive evaluation index of the vegetable seedlings; determining key indexes of various vegetable seedlings; preliminarily establishing a strong seedling index; and finally establishing a strong seedling index. The method can establish a strong seedling index with relatively high pertinence according to key indexes in the growth process of various vegetable seedlings, can flexibly establish a strong seedling index with relatively high relevance aiming at different seedlings, and is suitable for judging various vegetable seedlings; the strong seedling index can be used for accurately judging the robustness degree of vegetable seedlings, so that the strong seedling index can be popularized and applied in production.
Description
Technical Field
The invention relates to a method for judging the robustness of different kinds of seedlings, in particular to a method for establishing a strong seedling index of vegetable seedlings, and belongs to the technical field of vegetable seedling culture.
Background
Seedling raising becomes the first and key technical link of the modern vegetable industry, and the robustness of vegetable seedlings is the guarantee of later-stage vegetable growth and quality. In the conventional seedling raising process, the strong seedlings are usually judged by observing or measuring single indexes of the seedlings, such as the plant height, the stem thickness, the leaf color and the like, or judged by adopting an experimental formula (stem thickness/plant height x total dry weight) established by the predecessor. As the varieties and the number of seedlings for vegetable seedling raising are increased, and the vegetable seedlings are different from self-rooted seedlings and grafted seedlings, accurate judgment is difficult to perform through a single index and experience strong seedling index formula.
Therefore, a method for establishing a strong seedling index of vegetable seedlings is urgently needed, and is used for helping producers and scientific researchers establish a targeted strong seedling index aiming at seedlings of different varieties and different types and reasonably judging the seedlings.
Disclosure of Invention
The invention aims to provide a method for establishing a strong seedling index of vegetable seedlings, which can establish strong seedling indexes of relevant degrees aiming at different types of vegetables, effectively judge the robustness degree of the vegetable seedlings, promote the development of seedling industry and improve the quality of the vegetables.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for establishing a vegetable seedling strong seedling index specifically comprises the following steps:
(1) determination of vegetable seedling single quality index
According to different types of vegetable seedlings, determining a single quality index; determining the weight coefficient of the single quality index by a multiple linear regression method, and determining a membership function of the single quality index according to the change of each single quality index in seedling growth;
(2) determination of vegetable seedling comprehensive evaluation index
Determining a comprehensive evaluation index of the seedlings according to a fuzzy evaluation method of single vegetable seedling quality indexes; firstly, the following steps are carried out: the weight coefficient is multiplied by a membership function matrix to obtain a comprehensive evaluation matrix, and then the comprehensive evaluation index of the seedling is obtained by adding and averaging each row of the comprehensive evaluation matrix;
(3) determination of key indexes of various vegetable seedlings
Obtaining contribution values of the single quality index to different main components through main component analysis of the single quality index of different types of vegetable seedlings, and selecting the single quality index with larger contribution values to the different main components as a key index of the vegetable seedlings;
(4) preliminary establishment of strong seedling index
Combining key single quality indexes of vegetable seedlings into a strong seedling index of a composite index, wherein the strong seedling index comprises a single quality index with a larger contribution value in all main components, and determining the position of the quality index in a denominator or a numerator according to the membership function type of the single quality index during combination;
(5) final establishment of strong seedling index
And (4) carrying out correlation analysis on the preliminarily screened 3-5 strong seedling indexes and the comprehensive evaluation indexes of the vegetable seedlings to obtain the strong seedling index with higher correlation coefficient.
Preferably, the single quality index in step (1) comprises plant height, stem thickness, leaf number, fresh weight above ground, fresh weight below ground, total fresh weight, dry weight above ground, dry weight below ground, total dry weight, chlorophyll a, chlorophyll b, total content of chlorophyll, carotenoid and SPAD.
Preferably, the final establishment of the strong seedling index in step (5): when the calculation value of the strong seedling index is smaller, the following steps can be carried out: the strong seedling index is multiplied by 100 and is used as the strong seedling index for final seedling judgment.
The invention has the beneficial effects that: according to the invention, through the measurement of single indexes of vegetable seedlings, the weight coefficient and the membership function of each single index are determined, and a certain vegetable seedling comprehensive evaluation index is established; determining certain vegetable key indexes through main component analysis of single seedling index; establishing a strong seedling index of a composite index by using the key index; determining a final strong seedling index through the evaluation of the correlation between the established strong seedling index and the comprehensive evaluation index of the vegetable seedlings; the method can establish a strong seedling index with relatively high pertinence according to key indexes in the growth process of various vegetable seedlings, can flexibly establish a strong seedling index with relatively high relevance aiming at different seedlings, and is suitable for judging various seedlings; the strong seedling index can be used for accurately judging the robustness degree of vegetable seedlings, so that the strong seedling index can be popularized and applied in production.
Detailed Description
The invention will be further described with reference to specific embodiments, and the advantages and features of the invention will become apparent as the description proceeds. It is to be understood that the described embodiments are exemplary only and are not limiting upon the scope of the invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention, and that such changes and modifications may be within the scope of the invention.
Example method for establishing tomato seedling strengthening index
(1) Single quality index of tomato seedling
a. Determination of single quality index
When the tomato reaches the four-leaf stage, 15 seedlings are randomly selected.
Using a general calculation method, 14 quality indexes including SPAD (soil and Plant Analyzer development), Plant height, stem thickness, leaf number, fresh weight on the ground, fresh weight under the ground, total fresh weight, dry weight on the ground, dry weight under the ground, total dry weight, chlorophyll a, chlorophyll b, total content of chlorophyll and carotenoid are classified into physiological and biochemical indexes and biological morphology indexes according to the principles of convenience, simplicity and practicability.
The biological form index is as follows: plant height (X1), stem thickness (X2), leaf number (X3), fresh weight above ground (X4), fresh weight below ground (X5), dry weight above ground (X6), dry weight below ground (X7), total fresh weight (X8) and total dry weight (X9).
Physiological and biochemical indexes: chlorophyll a (X10), chlorophyll b (X11), total chlorophyll content (X12), carotenoid (X13), SPAD (X14);
and measuring the 14 quality indexes of the 15 tomato seedlings.
14 quality indexes of table 115 tomato seedlings
Note: SPAD dimensionless
b. Determination of the weight coefficients of a single quality index (multiple regression)
Step 1: calculating a complex correlation coefficient of multiple regression of each index and other indexes;
step 2: calculating the reciprocal of the complex correlation coefficient of each index and other indexes;
and step 3: and carrying out normalization processing to obtain the weight of each index.
TABLE 2 weight coefficients of a single prime index
c. Determination of membership functions for a single prime index
According to the growth characteristics of the indexes of the tomato seedlings, the membership functions of the indexes are divided into types such as a positive parabola type and a straight line relation type. For parabolic type membership functions, x is determined according to tomato index characteristics1Lower limit of data, x2Lower bound of optimal data, x3Upper limit of optimal data, x4An upper limit of data; determining x according to tomato index characteristics for linear and positive S-shaped membership functions1Lower limit of data, x2.The upper limit of the data. Then, the individual quality index of tomato is substituted into the following formulas (1) and (2), and the final result is obtained.
The membership functions and critical values of the individual tomato seedling quality indexes are shown in Table 3.
TABLE 3 membership functions and thresholds for individual tomato seedling quality indices
(2) Determination of vegetable seedling comprehensive evaluation index
The 14 quality indexes are comprehensively analyzed by a fuzzy comprehensive evaluation method, and the following steps are firstly carried out: and obtaining a comprehensive evaluation matrix by multiplying the weight coefficient by the membership function matrix, and then obtaining the comprehensive evaluation index of the tomatoes by adding and averaging each row of the comprehensive evaluation matrix.
And (3) comprehensive evaluation matrix: synthesizing and calculating B as A multiplied by R by using a fuzzy matrix, wherein B is a comprehensive judgment matrix; a is a membership function matrix which is obtained by calculating 14 quality indexes of the tomato seedlings through membership functions; r is a weight coefficient.
Comprehensive evaluation index: and adding the numerical values of each row of the comprehensive evaluation matrix and averaging to obtain the comprehensive evaluation index.
TABLE 4 membership function matrix A for tomato seedlings
TABLE 5 comprehensive evaluation matrix B for tomato seedlings
TABLE 6 correlation coefficient between single quality index and comprehensive evaluation index
Note: "+" indicates P <0.01, the difference was very significant.
(3) Determination of key indexes of tomato seedlings
The key indexes of the tomato seedlings are determined by a principal component analysis method, and some indexes of 14 parameter indexes of the tomatoes have strong collinearity, namely the indexes can be mutually replaced, and some indexes may not be main indexes of strong seedlings, so the key indexes of the tomato seedlings can be obtained by the principal component analysis.
The SPSS software is adopted to carry out principal component analysis on the 14 single indexes, the judgment of the tomato seedlings obtained by analysis can be determined by three indexes, the contribution degree of the three indexes reaches more than 85%, the three indexes comprise 13 of the 14 single indexes, the leaf number is eliminated, the principal component 1 is a pigment index, the principal component 2 is a morphological index, and the principal component 3 is the plant height. The strong seedling index of the tomato seedling can comprehensively reflect the seedling quality only by including the three indexes, and the specific strong seedling index can be combined by selecting a single index with higher contribution degree to the main component. The degree of contribution of each index to the major component is shown in Table 7.
TABLE 7 contribution of individual prime index to principal component
The extraction method comprises the following steps: and (4) analyzing the main components.
The rotating shaft method comprises the following steps: maximum variation with Kaiser normalization.
a converges on the loop in 5 iterations.
(4) Establishment of tomato seedling strengthening index relative index
The analysis of the main components shows that the single index hardly reflects the seedling quality comprehensively, the comprehensive indexes including three main components are selected and considered at the same time, and according to the contribution degree of the single index to the main components, the SPAD contribution degree is higher in the pigment index of the main component 1, and the SPAD contribution degree is easy to measure and can be used as a key pigment index; the major component 2 has larger contribution degree in the form indexes and can be considered; only the plant height in the main component 3 must be considered. The composite index can be determined by (relative index × single index). When the relative indexes are combined, the relative indexes can be combined according to the contribution degree of the main components, and for tomato seedlings, 11 relative indexes are combined according to the contribution degree:
fresh weight underground/fresh weight above ground
Fresh weight of ground/fresh weight of whole plant
Fresh weight of underground/fresh weight of whole plant
Underground/above ground dry weight
Dry weight on ground/dry weight of whole plant
Underground dry weight/whole plant dry weight
Total dry weight/total fresh weight
Underground fresh weight/SPAD
SPAD/Stem thickness
SPAD/plant height
Stem thickness/plant height
The first 6 indexes mainly reflect the proportion of the overground and underground parts of the seedlings, and the last 5 indexes reflect the stable relation among the main components. During combination, the influence of the types of the membership functions is considered, indexes of the parabolic membership functions are placed in denominators and are monotonous functions, the larger the strong seedling index is, the better the strong seedling index is, and judgment is easy; the indexes of the parabolic membership functions are put in molecules, the strong seedling index is the best in a range, and the judgment is difficult.
Whether the relative index is applicable or not is obtained by analyzing the correlation between the relative index and the comprehensive evaluation index, and the index with larger correlation can be considered in subsequent combination.
TABLE 8 correlation of relative index with comprehensive evaluation index
(5) Final establishment of strong seedling index
And analyzing according to the correlation between the relative indexes and the comprehensive evaluation index to obtain: underground fresh weight/overground fresh weight, SPAD/plant height, SPAD/stem thickness and stem thickness/plant height, wherein the correlation degree of the 4 relative indexes is highest and can be considered when combining; when the single index is selected, 2 indexes of the total dry weight and the total fresh weight are considered according to the contribution degree of the main components. Finally, three main component factors are considered, and the tomato seedling quality indexes are synthesized to form the following three composite indexes:
underground fresh weight/overground fresh weight total fresh weight
(Stem thickness/plant height + SPAD/Stem thickness) Total Dry weight
(fresh underground/fresh above ground + SPAD/plant height) Total Dry weight
And (3) taking a common strong seedling index calculation formula (stem thickness/plant height multiplied by total dry weight) as a control, and respectively carrying out correlation analysis on the three composite indexes and the control and the comprehensive evaluation index.
The results are shown in Table 9.
TABLE 9 correlation of composite index with comprehensive evaluation index
As can be seen from table 9, (underground fresh weight/above ground fresh weight + SPAD/plant height) — total dry weight, the comprehensive evaluation index is the highest, the calculated result is more accurate and is a monotonic function, the evaluation is easier, and the accuracy is higher than that of the commonly used strong seedling index formula (stem thickness/plant height × total dry weight), so that the composite index [ (underground fresh weight/above ground fresh weight + SPAD/plant height) — total dry weight ] is determined as the strong seedling index model of tomato.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (1)
1. The method for establishing the vegetable seedling strong seedling index is characterized by comprising the following steps:
(1) determination of vegetable seedling single quality index
According to different types of vegetable seedlings, determining a single quality index; determining the weight coefficient of the single quality index by a multiple linear regression method, and determining a membership function of the single quality index according to the change of each single quality index in seedling growth;
(2) determination of vegetable seedling comprehensive evaluation index
Determining a comprehensive evaluation index of the seedlings according to a fuzzy evaluation method of single vegetable seedling quality indexes; firstly, the following steps are carried out: the weight coefficient is multiplied by a membership function matrix to obtain a comprehensive evaluation matrix, and then the comprehensive evaluation index of the seedling is obtained by adding and averaging each row of the comprehensive evaluation matrix;
(3) determination of key indexes of various vegetable seedlings
Obtaining contribution values of the single quality index to different main components through main component analysis of the single quality index of different types of vegetable seedlings, and selecting the single quality index with larger contribution values to the different main components as a key index of the vegetable seedlings;
(4) preliminary establishment of strong seedling index
Combining key single quality indexes of vegetable seedlings into a strong seedling index of a composite index, wherein the strong seedling index comprises a single quality index with a larger contribution value in all main components, and determining the position of the quality index in a denominator or a numerator according to the membership function type of the single quality index during combination;
(5) final establishment of strong seedling index
Performing correlation analysis of 3-5 strong seedling indexes and comprehensive vegetable seedling evaluation indexes subjected to preliminary screening to obtain a strong seedling index with a higher correlation coefficient;
the single quality index in the step (1) comprises plant height, stem thickness, leaf number, overground fresh weight, underground fresh weight, total fresh weight, overground dry weight, underground dry weight, total dry weight, chlorophyll a, chlorophyll b, total chlorophyll content, carotenoid and SPAD;
and (5) finally establishing a strong seedling index: when the calculation value of the strong seedling index is smaller, the following steps can be carried out: the strong seedling index is multiplied by 100 and is used as the strong seedling index for final seedling judgment.
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| CN104838905A (en) * | 2015-04-13 | 2015-08-19 | 西北农林科技大学 | Method of evaluating watermelon seedling-stage drought resistance |
| CN108241043A (en) * | 2018-01-22 | 2018-07-03 | 山东省农业科学院作物研究所 | A kind of identification method of sweet potato Seedling Salt-tolerance |
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| CN104838905A (en) * | 2015-04-13 | 2015-08-19 | 西北农林科技大学 | Method of evaluating watermelon seedling-stage drought resistance |
| CN108241043A (en) * | 2018-01-22 | 2018-07-03 | 山东省农业科学院作物研究所 | A kind of identification method of sweet potato Seedling Salt-tolerance |
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