A method for judging the health of a waxberry fruit tree

Abstract

The present application belongs to the field of agricultural technology, and particularly relates to a method for judging the health degree of waxberry trees. The method is characterized in that seven indexes, i.e. pH, EC, SOM, TN, AN, AP and AK, of the soil composition in the process of waxberry planting are taken as soil indexes to be characterized and recorded, each of the soil indexes is calculated to obtain a standard scoring function, the health degree index of the waxberry trees is calculated according to the standard scoring function, and the health degree of the waxberry trees is judged according to the calculation result of the health degree index. The health degree index of the waxberry trees is calculated and reflected by the soil indexes in an indirect characterization measurement mode, the health degree of the waxberry trees can be effectively judged by a non-invasive method, the method has flexibility in use, and has a high confidence.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of agriculture, and particularly relates to a health degree judgment method for waxberry trees. BACKGROUND

[0002] Waxberry is a common economic crop, which is originally from Yuyao, Zhejiang, and has a history of more than 2,000 years. It tastes sweet and sour, and has a certain use value.

[0003] However, there are still some problems in the cultivation of waxberry. For example, the cultivation effect is always poor after leaving the place of origin, and the off-site cultivation is often accompanied by weakening symptoms and other diseases. Moreover, various diseases in the cultivation process of waxberry are difficult to be observed from the macro performance of waxberry trees. The possible trees may grow vigorously, but there are few or even no fruits when the fruits are formed, so the diseases cannot be found in time and effectively treated, which will have a great impact on the harvest of fruit farmers. Therefore, an effective method for judging the health degree of waxberry trees is urgently needed. SUMMARY

[0004] In order to solve the problems that there is no effective method for judging the health degree of waxberry, the health degree of waxberry trees is difficult to be directly observed and judged, and fruit farmers cannot effectively prevent and treat the diseases of waxberry, the application provides a health degree judgment method for waxberry trees.

[0005] The purpose of the application is to:

[0006] I. The health degree of waxberry trees can be directly and effectively judged in a non-invasive way.

[0007] II. The judgment method is simple and effective, and has high confidence.

[0008] In order to achieve the above purpose, the application adopts the following technical scheme.

[0009] A health degree judgment method for waxberry trees,

[0010] The method is:

[0011] The pH, EC, SOM, TN, AN, AP and AK of the soil composition in the cultivation process of waxberry are taken as soil indexes Xi, and the parameters are recorded.

[0012] The standard score function SSFi of each soil index Xi is calculated.

[0013] The standard score function calculation process SSF is as follows:

[0014]

[0015] In the formula: i = 1 to 7, corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators respectively; Xi is the soil index value; Ci is the soil index standard value; Ui is the upper limit value of the soil index; Li is the lower limit value of the soil index;

[0016] The bayberry fruit tree health index BHPI is calculated according to the standard score function SSFi;

[0017] The calculation process of the bayberry fruit tree health index BHPI is as follows:

[0018]

[0019] In the formula: n = 7, i.e. i = 1 to 7, corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators respectively; Wi is the soil index weight coefficient; SSFi is the standard score function;

[0020] The bayberry fruit tree health is calculated by the bayberry fruit tree health index BHPI;

[0021] The BHPI≥0.9 judges that the bayberry fruit tree health is good, and there is no disease at all;

[0022] The 0.9≥BHPI≥0.8 judges that the bayberry fruit tree health is medium, and there is no serious disease;

[0023] The 0.8≥BHPI≥0.7 judges that the bayberry fruit tree health is medium and low, and there is a certain disease and the possibility of yield reduction;

[0024] The 0.7≥BHPI judges that the bayberry fruit tree health is poor, and there is obvious debilitation and the possibility of large yield reduction.

[0025] As preferred,

[0026] The soil index weight coefficient Wi is calculated by sequencing the total DNA of microorganisms in the rhizosphere soil sample, and then performing Mantel analysis on the correlation ri obtained by the Mantel analysis after OTUs annotation analysis and R language Spearman analysis.

[0027] As preferred,

[0028] The soil index weight coefficient Wi is calculated by the following formula:

[0029]

[0030] In the formula: i = 1 to 7, respectively corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators; r1 corresponds to the pH parameter; r2 corresponds to the soil electrical conductivity EC parameter; r3 corresponds to the soil organic matter SOM parameter; r4 corresponds to the soil total nitrogen TN parameter; r5 corresponds to the alkali-hydrolyzable nitrogen AN parameter; r6 corresponds to the available phosphorus AP parameter; and r7 corresponds to the available potassium AK parameter.

[0031] In the present application, the health status of waxberry is comprehensively judged from the soil indicators and microbial community. This is because waxberry has a unique symbiotic characteristic with microorganisms compared with other fruit trees. Therefore, the soil microorganisms are greatly affected by the health status of waxberry fruit trees, and the physiological activities of microorganisms are further amplified to affect the seven soil indicators. Therefore, by calculating the weight coefficient of microorganisms in the soil sample and substituting the weight coefficient into the seven soil indicators, the health degree of waxberry fruit trees can be indirectly calculated and judged.

[0032] The present application has the following beneficial effects:

[0033] The present application calculates and reflects the health degree index of waxberry fruit trees by soil indicators in an indirect representation measurement mode, can effectively judge the health degree of waxberry fruit trees in a non-invasive method, has flexibility in use and has high confidence. DETAILED DESCRIPTION

[0034] The present application will be further described and illustrated in detail in the following specific embodiments. Based on these descriptions, those skilled in the art will be able to implement the present application. In addition, the embodiments of the present application involved in the following description are generally only a part of the embodiments of the present application, not all the embodiments. Therefore, based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor shall fall within the scope of protection of the present application.

[0035] Unless otherwise specified, the raw materials used in the embodiments of the present application are commercially available or can be obtained by those skilled in the art. Unless otherwise specified, the methods used in the embodiments of the present application are methods mastered by those skilled in the art.

[0036] Implementation case

[0037] A method for judging the health degree of waxberry fruit trees,

[0038] First, the construction of the standard score function SSFi is performed;

[0039] The standard score function calculation process SSF is as follows:

[0040]

[0041] In the formula: i = 1 to 7, corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators; Xi is the soil index value; Ci is the soil index standard value; Ui is the upper limit value of the soil index; Li is the lower limit value of the soil index;

[0042] Among them, the soil index standard value Ci is taken from the rhizosphere soil index of the fruit quality extremely excellent Yangmei tree in the representative orchard in Lanxi Majian Town area, and each element index is sampled and each takes 50 groups of sampling data to calculate the arithmetic mean as the standard value Mean part, to detect the upper limit value (Ci max ) and the lower limit value (Ci min ) with the arithmetic mean of the sampling data. The absolute value of the difference is smaller as the floating value (SD), such as the pH value representation result lower limit value is 5.27, the upper limit value is 5.30, and the absolute value of the difference with the arithmetic mean of the sampling data (standard value Mean part) is 0.02 and 0.01 respectively. Therefore, 0.01 is taken as the floating value (SD value) and Ui = Mean value + SD value, Li = Mean value - SD value, or in some cases, the maximum and minimum values of the detection data can be directly used. The specific is shown in the following table.

[0043]

[0044] In the table: the standard value column data is in the form of Mean ± SD, which is used for standard score function calculation process SSF calculation, Ci takes the corresponding data Mean part (the part before "+"), that is, such as the standard value of pH value is 5.29; Each index sample content is 3, and each sample is composed of 4 sub-samples mixed uniformly.

[0045] Take 12 rhizosphere soil samples of fruit quality extremely excellent Yangmei trees in representative orchards in Lanxi Majian Town area, and perform second-generation sequencing on the total DNA of microorganisms in the 12 rhizosphere soil samples. After OTUs annotation analysis, the correlation ri is directly derived by using R language Spearman analysis and Mantel analysis with soil physicochemical indexes;

[0046] The correlation ri is used to calculate the soil index weight coefficient Wi:

[0047]

[0048] In the formula, i = 1 to 7, respectively corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators; r1 corresponds to the pH parameter; r2 corresponds to the soil electrical conductivity EC parameter; r3 corresponds to the soil organic matter SOM parameter; r4 corresponds to the soil total nitrogen TN parameter; r5 corresponds to the alkali-hydrolyzable nitrogen AN parameter; r6 corresponds to the available phosphorus AP parameter; and r7 corresponds to the available potassium AK parameter.

[0049] The results are shown in the following table.

[0050] Correlation number Rhizosphere soil nutrient element index Correlation ri value r1 pH 0.575 r2 EC 0.357 r3 TN 0.318 r4 SOM 0.105 r5 AN 0.253 r6 AK 0.571 r7 AP 0.306

[0051] The soil index weight coefficient Wi is obtained by substituting the above correlation ri value data into the soil index weight coefficient Wi calculation formula, as shown in the following table.

[0052] Coefficient number W1 W2 W3 W4 W5 W6 W7 Coefficient 0.23 0.14 0.13 0.04 0.10 0.23 0.12

[0053] The coefficient calculation results are accurate to two decimal places. The higher the accuracy, the higher the accuracy in actual calculation.

[0054] According to the standard score function SSFi and the soil index weight coefficient Wi, the health index BHPI of the bayberry fruit tree is calculated;

[0055]

[0056] Substituting the soil index weight coefficient Wi, the following formula is obtained.

[0057] BHPI = 0.23 x SSF1 + 0.14 x SSF2 + 0.13 x SSF3 + 0.04 x SSF4 + 0.10 x SSF5 + 0.23 x SSF6 + 0.12 x SSF

[0058] In the formula, SSF1 to SSF7 are the standard score functions calculated for pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK, respectively.

[0059] Application Example 1

[0060] Based on the above examples, the confidence of the method and formula of the above examples is verified.

[0061] The soil of the bayberry trees in Qixing Mountain Bayberry Orchard in Majian Town was sampled and the physicochemical indexes were characterized, and the characterization results are shown in the following table.

[0062]

[0063]

[0064] The data in the table is represented in the form of Mean ± SD, and only the Mean part is used to calculate the standard score function SSFi.

[0065] The standard score function SSFi in the example is substituted to calculate the results shown in the table below.

[0066] Soil physicochemical index Uniform SSF value pH 0.89 EC (μs / cm) 0.83 TN (g / kg) 0.71 SOM (g / kg) 0.95 AN (mg / kg) 0.85 AK (mg / kg) 0.93 AP (mg / kg) 0.82

[0067] Substitute the weight coefficient Wi to calculate the health index BHPI of the waxberry fruit tree, and the calculation result shows that BHPI = 0.85, indicating that the health condition is medium. Medium means that there is no serious disease such as debilitation, and the fruit yield can basically reach the average level of the same variety of waxberry fruit trees in previous years (soil index standard value sampling year). As of May 2023, the fruit yield of the waxberry fruit tree was slightly higher than the average yield of the same variety of waxberry fruit trees in previous years (soil index standard value sampling year) by 3.6%, which meets the judgment standard.

[0068] Application Example 2

[0069] Based on the above examples, the confidence of the method and formula of the above examples is verified.

[0070] The soil of the waxberry trees in the Qixing Mountain Waxberry Orchard in Majian Town was sampled and the physicochemical indexes were characterized, and the characterization results are shown in the table below.

[0071] Rhizosphere soil nutrient element index Characteristic value pH 5.17±0.05 EC (μs / cm) 94.0±4.3 TN (g / kg) 0.99±0.01 SOM (g / kg) 22±0.4 AN (mg / kg) 147.3±5.2 AK (mg / kg) 220.3±5.7 AP (mg / kg) 3±0.1

[0072] The data in the table is represented in the form of Mean ± SD, and only the Mean part is used to calculate the standard score function SSFi.

[0073] The standard score function SSFi in the example is substituted to calculate the results shown in the table below.

[0074] Soil physicochemical index Uniform SSF value pH 0.96 EC (μs / cm) 0.92 TN (g / kg) 0.65 SOM (g / kg) 0.90 AN (mg / kg) 0 AK (mg / kg) 0.77 AP (mg / kg) 0

[0075] Substitute the weight coefficient Wi to calculate the health index BHPI of the waxberry fruit tree, and the calculation result shows that BHPI = 0.65, indicating that the health condition is poor. That is, there are serious diseases such as debilitation, and there is a high probability of yield reduction. As of May 2023, the fruit yield of the waxberry fruit tree was significantly lower than the average yield of the same variety of waxberry fruit trees in previous years (soil index standard value sampling year), resulting in a yield reduction of-13.6%, which meets the judgment standard.

[0076] Application Example 3

[0077] Based on the above examples, the confidence of the method and formula of the above examples is verified.

[0078] The soil of the waxberry trees in the waxberry orchard of Qixing Mountain in Majian Town is sampled and the physical and chemical indexes are characterized, and the characterization results are shown in the following table.

[0079] Rhizosphere soil nutrient element index Characteristic value pH 4.31±0.00 EC (μs / cm) 117.1±1.3 TN (g / kg) 1.34±0.09 SOM (g / kg) 27.8±6 AN (mg / kg) 191.1±7.4 AK (mg / kg) 174.2±3.3 AP (mg / kg) 38.4±3

[0080] In the table, the characterization value column data is represented in the form of Mean ± SD, and only the Mean part data is used to calculate the standard score function SSFi.

[0081] The standard score function SSFi in the embodiment is substituted, and the calculation results are shown in the following table.

[0082] Soil physicochemical index Uniform SSF value pH 0.73 EC (μs / cm) 0.63 TN (g / kg) 0 SOM (g / kg) 0.60 AN (mg / kg) 0 AK (mg / kg) 0.84 AP (mg / kg) 0

[0083] The waxberry tree health index BHPI is calculated by substituting the weight coefficient Wi, and the calculation result shows that BHPI = 0.47, indicating that the health condition is poor. That is, there are serious diseases such as debilitation, and there is a high probability of yield reduction. According to the results in the harvest period in May 2023, the yield of waxberry fruits is significantly lower than the average yield of the same variety of waxberry trees in previous years (the soil index standard value sampling year), resulting in a yield reduction of-29.1%, which meets the judgment standard.

[0084] Application Example 4

[0085] Based on the above embodiment, the confidence of the method and formula of the above embodiment is verified.

[0086] Batch data collection is used for characterization verification. The waxberry tree health index BHPI and the actual debilitation condition, and the yield increase / decrease rate record in the harvest period in May 2023 are shown in the following table, and since the data volume is large, only 20 groups are randomly selected for display.

[0087]

[0088]

[0089] In the table, represents no disease condition, represents the existence of non-obvious disease condition but no serious disease such as debilitation, represents the existence of certain disease and accompanied by mild debilitation disease, and represents serious disease such as debilitation; in the yield increase / decrease rate data, + represents yield increase, and - represents yield reduction.

[0090] From the corresponding results in the above table data, it can be seen that the present application scheme has high confidence, has guiding value and significance, and is obviously helpful for fruit farmers to early detect waxberry tree diseases.

Claims

1. A method for judging the health of a waxberry fruit tree, characterized in that, the method is: The seven indexes of pH, EC, SOM, TN, AN, AP and AK in the soil composition during the planting of the waxberry are taken as the soil indexes The parameters are characterized and recorded. For each of the soil indicators A standard scoring function is calculated ; The standard score function calculation process As follows: In the formula: Corresponding to the pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK seven indicators respectively; The soil index characteristic value; The soil index standard value is taken from the arithmetic mean of a plurality of sets of sampling data of the rhizosphere soil index of the waxberry tree with excellent fruit quality in a representative region; The soil index upper limit value; The soil index lower limit value; The upper limit value of the soil index The lower limit value of the soil index Wherein, the Mean value is the standard value of the soil index, and the SD is the floating value, which is the absolute value of the difference between the maximum value and the minimum value in a plurality of sets of sampling data of the standard value of the soil index and the arithmetic mean value of the sampling data; the standard score function The health index of the waxberry fruit tree is calculated according to the standard score function ; The health index of the waxberry fruit tree The calculation process is as follows: wherein n = 7, i.e. respectively corresponding to the seven indexes of pH, EC, SOM, TN, AN, AP and AK; is the weight coefficient of the soil index; is the standard score function; The health index of the waxberry trees is calculated The health of the waxberry trees is determined by the calculation result. The The health of the waxberry trees was good and completely free of disease. The The health of the waxberry trees was determined to be medium, with no serious diseases. The The health of the waxberry trees is medium to low, and there is a possibility of disease and yield reduction. The The health of the waxberry trees is poor, and there is a possibility of significant weakening and greater reduction in production. The soil index weight coefficient By sequencing the total DNA of the microorganisms in the rhizosphere soil samples, performing OTU annotation analysis, using R language Spearman analysis, and then performing Mantel analysis with the soil index, the correlation obtained from the Mantel analysis is calculated; The soil index weight coefficient is calculated by the following formula: In the formula: is the first corresponding to the correlation parameter of the index, , respectively, correspond to the seven indexes of the soil pH, soil electrical conductivity EC, soil organic matter SOM, soil total nitrogen TN, alkali-hydrolyzable nitrogen AN, available phosphorus AP and available potassium AK; corresponding to the pH correlation parameter; corresponding to the soil electrical conductivity EC correlation parameter; corresponding to the soil organic matter SOM correlation parameter; corresponding to the soil total nitrogen TN correlation parameter; corresponding to the alkali-hydrolyzable nitrogen AN correlation parameter; corresponding to the available phosphorus AP correlation parameter; corresponding to the available potassium AK correlation parameter.

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