Method for constructing quinoa planting monthly order density model and device for measuring density

Abstract

The invention discloses a method for constructing a quinoa planting monthly order density model and a device for measuring density, and relates to the technical field of crop planting, the method comprises the following steps: step 1, establishing a quinoa sample data set; 2, setting parameters; step 3, establishing the relationship between the leaf area of a single plant and the plant height, and fitting the relationship between the plant height and the sowing time; and 4, constructing a model to obtain the optimal planting month order density required by quinoa seeding in the current year and the plant spacing and the row spacing required by quinoa seeding. The device for measuring the density of the quinoa planting monthly reels comprises a son shaft, a mother shaft and a winding roll, and a measuring scale is wound on the winding roll and connected with the son shaft. According to the method provided by the invention, the optimal planting density can be accurately determined according to the variety characteristics of the chenopodium quinoa, so that the yield and the quality of the chenopodium quinoa are improved. In addition, waste of seeds and land resources is avoided due to the reasonable planting density, and the land utilization rate is increased.

Description

Technical Field

[0001] The invention belongs to the technical field of crop planting, and particularly relates to a method for constructing a quinoa planting monthly density model and a density measuring device. Background Art

[0002] Quinoa originated in the Andes Mountains of South America and was later introduced to China, where it has become an important emerging food and feed crop. Quinoa is mainly distributed in northwest China, where the yield is low due to the influence of heat and precipitation conditions. At present, quinoa is widely planted in a wide range of areas, with diverse cultivation techniques and a variety of problems. Systematic cultivation technology research is needed to improve the production potential of quinoa.

[0003] Studies have shown that the planting density of quinoa has a significant effect on agronomic traits and yield. Different density treatments affect the plant height, stem thickness, main ear length and 1000-grain weight of quinoa, which in turn affects the yield. For example, the quinoa yield under certain density treatments is significantly higher than that under other treatments, which indicates that appropriate planting density can improve the yield and agronomic traits of quinoa.

[0004] In the previous cultivation research, it was found that the planting of quinoa in the eastern region can be extended from March in spring to August in autumn; the plant height of different varieties of quinoa varies greatly, and the sowing time has a significant impact on the plant height. Therefore, when planting quinoa, the three factors of variety, sowing time and density need to be adapted to achieve high yield and high quality of quinoa. However, in actual production, the relationship between factors such as variety plant height, sowing time and accumulated temperature is complex, and affected by unfavorable environment, land preparation quality, sowing quality and other factors, there will be uneven distribution of plants, it is difficult to determine the optimal planting density, and there will be deviations between the actual planting density and the planned density.

[0005] In order to solve the above problems, a scientific, accurate and efficient method for determining quinoa planting density and a device that can objectively evaluate the uniformity of quinoa planting are needed. These methods and devices should be able to comprehensively consider various factors of quinoa growth, provide accurate planting density recommendations, and be able to quickly and accurately evaluate the uniformity of quinoa planting. Summary of the invention

[0006] In order to solve the problems raised in the above background technology, the purpose of the present invention is to provide a method for constructing a monthly density model of quinoa planting and a device for measuring density.

[0007] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0008] A method for constructing a quinoa planting monthly density model, characterized in that it comprises the following steps:

[0009] Step 1: Determine the quinoa variety, the seed leg spacing of the local planter, and the time of Jingzhe in the planting year, and establish a quinoa sample data set;

[0010] Step 2, setting parameters, including plant spacing variable, row spacing variable, density variable, plant height variable, early spring maximum plant height variable, single plant leaf area variable, optimal leaf area index variable and optimal leaf area variable;

[0011] Step 3: Establish the relationship between the leaf area of ​​a single plant and plant height, and fit the relationship between plant height and sowing period;

[0012] Step 4. Construct the optimal planting monthly density model for quinoa: the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by the value obtained by the expression of the relationship between the plant height and the sowing period, and then divided by the optimal leaf area index variable. After simplification, the product of the row spacing variable and the plant spacing variable is equal to an expression divided by the optimal leaf area index variable.

[0013] Furthermore, the units of the plant spacing variable, row spacing variable, plant height variable and early spring maximum plant height variable are centimeters, the unit of the density variable is plant / mu, and the unit of the single plant leaf area variable and the optimal leaf area variable is square centimeters.

[0014] Furthermore, the density variable may be equivalent to a fixed value related to the area unit multiplied by ten thousand and then divided by the product of the row spacing variable and the plant spacing variable.

[0015] Furthermore, the relationship between the plant height and the leaf area per plant is that the variable of the leaf area per plant is equal to a coefficient multiplied by the variable of the plant height minus a fixed value. The accuracy of this relationship can be determined by a value similar to the correlation coefficient. The plant height of quinoa reaches its maximum value 10-15 days after the initial flowering, which is the maximum plant height variable in early spring. After many years of experiments, 10 days after the Waking of Insects is the earliest suitable sowing period in Shandong Province. By conducting staged sowing experiments after this period, the plant height data of quinoa with different sowing periods can be obtained, thereby fitting the relationship between plant height and sowing period (the number of days after the Waking of Insects plus 10 days), which is that the plant height variable is equal to a coefficient multiplied by the sowing period variable plus a fixed value. The accuracy of this relationship can also be determined by a value similar to the correlation coefficient.

[0016] Furthermore, the derivation process of the formula is as follows: the optimal leaf area variable is equal to the single plant leaf area variable multiplied by the density variable, and because the optimal leaf area variable is equal to the optimal leaf area index variable multiplied by a fixed value and then multiplied by ten thousand; the relationship between the leaf area of ​​a single plant and the plant height is substituted into it, and the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by a fixed value and then multiplied by ten thousand divided by the optimal leaf area variable. Further simplification shows that the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by a fixed value and then multiplied by ten thousand divided by the optimal leaf area index variable multiplied by a fixed value and then multiplied by ten thousand, and finally the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height divided by the optimal leaf area index variable.

[0017] Furthermore, the optimum leaf area index variable may be within an empirical value range or further verified, the range of the row spacing variable is relatively fixed, and the relationship between the row spacing variable and the plant spacing variable may be determined by variety characteristics or trial planting.

[0018] Furthermore, the plant spacing variable is equal to a fixed value multiplied by 10,000 and then divided by the product of the row spacing variable and the density variable. To obtain a planting density variable suitable for a certain sowing period, the sowing period (the number of days after Jingzhe plus 10 days), the maximum plant height variable in early spring, and the optimal leaf area index variable can be input. Among them, the row spacing variable can be determined according to the early or late sowing period (the earlier the sowing in the suitable sowing period, the larger the row spacing variable), planting habits, and the seed leg spacing of the supporting machinery.

[0019] A method for constructing a monthly density model for quinoa planting, characterized in that it comprises a sub-axis 10, a mother axis 5 and a winding drum 3, wherein a mother axis handle 1 and a sub-axis handle 9 are respectively arranged above the mother axis 5 and the sub-axis 10, the sub-axis 5 is strung in the central hole 13 of the winding drum 3, a wire-reeling device is arranged above the winding drum 3, a measuring ruler 8 is wound around the winding drum 3, and the other end of the measuring ruler 8 is connected to the sub-axis 10, and sub-axis clamping grooves 6 for accommodating the sub-axis 10 are correspondingly arranged on the edges of the upper end plate and the lower end plate of the winding drum 3, and the sub-axis 10 is fixed to the winding drum 3 through the sub-axis clamping grooves 6.

[0020] Furthermore, a wire ring 7 is provided on the wire reel 3, and a wire ring 7 is provided on the edge of the lower end plate of the wire reel 3. The plane where the wire ring 7 is located is inclined outward or arranged vertically, and a measuring ruler 8 can pass through the wire ring 7. A density relationship diagram of the plant spacing and row spacing is engraved above the wire reel 3.

[0021] Furthermore, the wire-winding device includes a wire winding handle 2, a connecting rod 4 and a column 11, the column 11 is inserted into a column hole 12 on the edge of the upper end plate of the wire winding reel 3, and the two ends of the connecting rod 4 are respectively connected to the wire winding handle 2 and the column 11 through a ball joint. A limiting fixing ring 14 is provided under the wire winding reel 3, and the limiting fixing ring 14 passes through the mother shaft 5 and is fixed at the center hole 13 under the wire winding reel 3.

[0022] Compared with the prior art, the present invention has the following technical advances:

[0023] A method for constructing a quinoa planting monthly density model and a device for measuring density of the present invention can be used for quinoa seedling determination and determining the plant spacing during hole sowing through its innovative design, and can also be used to measure the density of quinoa after seedling determination. A method for constructing a quinoa planting monthly density model and a device for measuring density of the present invention have multiple significant beneficial effects: First, accurate planting density, according to the characteristics of quinoa varieties, accurately determine the optimal planting density, thereby improving the yield and quality of quinoa. Second, save resources, reasonable planting density avoids the waste of seeds and land resources, and improves land utilization rate and seed survival rate. Third, it is convenient for field management, uniform planting density and reasonable plant spacing provide convenience for management measures such as field fertilization, weeding, and pest control. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0025] In the attached picture:

[0026] Figure 1 A schematic diagram of the structure of a device for measuring the monthly density of quinoa planting provided by an embodiment of the present invention;

[0027] Figure 2 A three-dimensional diagram of a device for measuring the monthly density of quinoa planting provided by an embodiment of the present invention;

[0028] Figure 3 A density relationship diagram of plant spacing and row spacing provided in an embodiment of the present invention;

[0029] In the figure:

[0030] 1-mother shaft handle; 2-winding handle; 3-winding reel; 4-connecting rod; 5-mother shaft; 6-sub-shaft slot; 7-clamping ring; 8-measuring ruler; 9-sub-shaft handle; 10-sub-shaft; 11-column; 12-column hole; 13-center hole; 14-limit fixing ring. DETAILED DESCRIPTION

[0031] The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0032] Embodiment 1

[0033] Firstly, we determined the quinoa varieties, the seed leg spacing of the local planter, and the time of Jingzhe in the planting year to establish a quinoa sample dataset.

[0034] Secondly, set the variables. Specifically: plant spacing is represented by a specific name such as "plant spacing variable", and its unit is centimeter. Row spacing is also represented by a specific name, such as "row spacing variable", and its unit is also centimeter. Density also has a corresponding name, such as "density variable", and its unit is plant / acre. There is also a plant height variable that changes with the sowing period, and its unit is centimeter. The maximum plant height during early spring sowing also has a name such as "early spring maximum plant height variable", and its unit is centimeter. The leaf area of ​​a single plant has a name called "single plant leaf area variable", and its unit is square centimeters. The optimal leaf area index is also represented by a specific name, such as "optimal leaf area index variable". The optimal leaf area also has a corresponding name such as "optimal leaf area variable", and its unit is square centimeters.

[0035] At the same time, a relationship function is set to connect the leaf area and plant height of a single plant. Based on the above variable settings, the density variable can be equivalent to a fixed value related to the area unit multiplied by 10,000 and then divided by the product of the row spacing variable and the plant spacing variable.

[0036] Then, the relationship between them is established based on the data of plant height and leaf area per plant. The variable of leaf area per plant is equal to a coefficient multiplied by the plant height variable minus a fixed value. The accuracy of this relationship can be determined by a value similar to a correlation coefficient.

[0037] On this basis, the following data process is constructed: the optimal leaf area variable is equal to the single plant leaf area variable multiplied by the density variable, and because the optimal leaf area variable is equal to the optimal leaf area index variable multiplied by a fixed value and then multiplied by 10,000. Substituting the relationship between the leaf area of ​​a single plant and the plant height into it, we can get that the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by a fixed value and then multiplied by 10,000 divided by the optimal leaf area variable. Further simplification shows that the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by a fixed value and then multiplied by 10,000 divided by the optimal leaf area index variable multiplied by a fixed value and then multiplied by 10,000. Finally, the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height divided by the optimal leaf area index variable.

[0038] Usually, the plant height of quinoa reaches its maximum value 10-15 days after the first flowering, which is the maximum plant height variable in early spring. After years of experiments, 10 days after Jingzhe is the earliest suitable sowing period in Shandong Province. By conducting staged sowing experiments after this period, the plant height data of quinoa at different sowing periods can be obtained, so as to fit the relationship between plant height and sowing period (Jingzhe plus the number of days after 10 days), that is, the plant height variable is equal to a coefficient multiplied by the sowing period variable plus a fixed value. The accuracy of this relationship can also be determined by a value similar to a correlation coefficient.

[0039] Substituting this relationship into the expression of the product of row spacing and plant spacing obtained above, it can be deduced that the product of row spacing variable and plant spacing variable is equal to the value in the expression of the relationship between single plant leaf area and plant height multiplied by the value obtained by the expression of the relationship between plant height and sowing period and then divided by the optimal leaf area index variable. After simplification, the product of row spacing variable and plant spacing variable is equal to an expression divided by the optimal leaf area index variable.

[0040] The optimal leaf area index variable can be taken from the empirical value range or further verified. The range of row spacing variable is relatively fixed. The relationship between row spacing variable and plant spacing variable can be determined by variety characteristics or trial planting.

[0041] To obtain the planting density variable suitable for a certain sowing period, input the sowing period (the number of days after Jingzhe plus 10 days), the maximum plant height variable in early spring, and the optimal leaf area index variable. Among them, the row spacing variable can be determined according to the early or late sowing period (the earlier the sowing in the suitable sowing period, the larger the row spacing variable), planting habits, and the seed leg spacing of the supporting machinery. The plant spacing variable is equal to a fixed value multiplied by 10,000 and then divided by the product of the row spacing variable and the density variable.

[0042] Embodiment 2

[0043] A method for constructing a quinoa planting monthly density model provided by an embodiment of the present invention comprises the following steps:

[0044] Step 1: Determine the quinoa variety, the local seed leg spacing, and the time of Jingzhe in the sowing year, and establish a quinoa sample data set;

[0045] Step 2: Set parameters, set d p is the plant spacing (unit: cm), d L is the row spacing (unit: cm), ρ is the density (unit: plant / mu), h △ is plant height (varies with sowing period, unit: cm), h s is the maximum plant height when sown in early spring (unit: cm), p LA is the leaf area per plant (unit: cm 2 ), b LAI is the optimum leaf area index, b LAis the optimum leaf area (unit: cm 2 );

[0046] Step 3: Establish the relationship between the leaf area of ​​a single plant and plant height, and fit the relationship between plant height and sowing period;

[0047] Step 4: Construct the optimal planting monthly density model for quinoa:

[0048]

[0049] Where b LAI Take the empirical value range or further verify, d L The range is relatively fixed, d L With d p See the relationship Figure 3 ,

[0050] The optimal planting density required for quinoa sowing in this year, as well as the plant spacing and row spacing required for quinoa sowing can be obtained.

[0051] From the above formula, it can be further obtained that the formula of the density variable is:

[0052]

[0053] The relationship between plant height and leaf area per plant is: LA =ah △ -b(R 2 Take 0.8395).

[0054] The plant height of quinoa reaches its maximum value 10-15 days after the first flowering, which is the maximum plant height variable in early spring. After years of experiments, 10 days after Jingzhe is the earliest suitable sowing period in Shandong Province. By conducting staged sowing experiments after this period, the plant height data of quinoa at different sowing periods can be obtained, and the relationship between plant height and sowing period (Jingzhe plus the number of days after 10 days) can be fitted: h △ =ch △ ×d s +d(R 2 Take 0.948) (2).

[0055] The derivation process of the formula is as follows:

[0056] b LA =p LA ×ρ=b LAI ×667×10000

[0057] Substituting formula (2) into formula (1), we can derive: Simplified:

[0058] The variety of quinoa provided in the embodiment of the present invention is Jinli No. 1.

[0059] To obtain the appropriate planting density variable (ρ) for a certain sowing period, input the sowing period (the number of days after Jingzhe plus 10 days), the maximum plant height variable in early spring (h s ) and the optimal leaf area index variable. L The row spacing variable can be adjusted according to the sowing date (the earlier the sowing, the shorter the sowing period). L The larger the row spacing variable is), the planting habits and the seed leg spacing of the supporting machinery are determined. It can be obtained:

[0060] The specific values ​​corresponding to each algebraic symbol are as follows: a = 47.652; b = 2346.5; c = -0.3166; d = 210.24; root b LAI According to the experience of field crops, the value is 4-5; the optimum leaf area b LA =(4-5)×667×10000.

[0061] Embodiment 3

[0062] Set variables: where D P is the plant spacing (cm), D L is the row spacing (cm), ρ is the density (plants / mu), H Δ is plant height (varies with sowing period, cm), H s is the maximum plant height when sown in early spring (can be checked in variety characteristics, generally reached 10-15 days after first flowering, cm), PLA is the leaf area per plant (the leaf area per plant 10-15 days after first flowering, cm 2 , BLAI is the optimum leaf area index (4-5 based on field crop experience), BLA is the optimum leaf area ((4-5)×667×10000, cm 2 ), it can be deduced from the above definition that

[0063] ρ=667×10000 / (D L ×D p )

[0064] The relationship between plant height and plant area was established based on the two sets of data: plant height and plant area.

[0065] PLA=47.652H △ -2346.5(R 2 =0.8395)

[0066] Derivation process:

[0067] BLA=PLA×ρ=BLAI×667×10000

[0068] BLA=(47.652H △ -2346.5)×667×10000 / (D L ×D p )

[0069] (D L ×D p )=(47.652H △ -2346.5)×667×10000 / BLA

[0070] (D L ×D p )=(47.652H △ -2346.5)×667×10000 / (BLAI×667×10000)

[0071] (D L ×D p )=(47.652H △ -2346.5) / BLAI (1)

[0072] Quinoa plant height △ The maximum value Hs is reached 10-15 days after the first flowering. After many years of experimental verification, 10 days after Jingzhe is the earliest suitable sowing period in Shandong Province. Through the staged sowing experiment after this period, the plant height data of quinoa at different sowing periods were obtained. The relationship between plant height and sowing period (the number of days after [Jingzhe + 10 days], Ds) is fitted as follows:

[0073] H △ =-0.3166×Ds+210.24(R 2 =0.948) (2)

[0074] Substituting formula (2) into formula (1), we can derive:

[0075] (D L ×D p )=[47.652×(-0.3166×Ds+210.24)-2346.5] / BLAI

[0076] Simplified:

[0077] (D L ×D p )=(-15.087×Ds+7671.86) / BLAI (3)

[0078] In the formula, BLAI takes the empirical value (4-5) or further verification, the DL range is relatively fixed, and the relationship between DL and Dp is shown in Figure 3 .

[0079] To obtain the appropriate planting density (ρ) for a certain sowing period, we only need to input the sowing period (the number of days after Jingzhe + 10 days), the plant height (HS) for spring sowing, and the optimum leaf area index (4-5). Among them, DL can be determined according to the sowing period (the earlier the sowing in the appropriate sowing period, the greater the DL), planting habits, and the seed leg spacing of the supporting machinery; then,

[0080] D p =667×10000 / (D L ×ρ) (4)

[0081] The model formula is derived from the field data of Jinli No. 1 and is applicable to varieties with a plant height similar to Jinli No. 1 (210cm-220cm). When applied to varieties with other plant height ranges, H in formula (1) should be determined based on the relationship between plant height and leaf area of ​​the variety. △ The coefficient of formula (2) is determined according to the maximum plant height (Hs) at spring sowing. Integrating formula (1) and formula (2) yields the applicable formula (3).

[0082] Verification: The maximum plant height of a certain variety in spring sowing is 215cm, and the distance between the seed legs of the local seeder is 60cm. Try to calculate the suitable density and plant spacing of this variety when sown on April 1, 2025.

[0083] Solution: The maximum plant height of this variety in spring sowing is 215cm, and formula (4) proposed in this patent is applicable.

[0084] In 2025, Jingzhe falls on March 5, Jingzhe + 10 days is March 15, and the sowing interval to April 1 is 17 days. Therefore, Ds takes the value of 17 and BLAI takes the value of 4.5, which are substituted into formula (3).

[0085] (D L ×D p )=(-15.087×17+7671.86) / 4.5

[0086] (D L ×D p )=1647.86(cm 2 )

[0087] From ρ=667×10000 / (D L ×D p ), we can get

[0088] ρ = 667 × 10000 / 1647.86 = 4048 (plants / mu)

[0089] D p =1647.86 / 60=27.5(cm).

[0090] Embodiment 4

[0091] An embodiment of the present invention provides a device for measuring the monthly density of quinoa planting, such as Figure 1 , Figure 2 As shown, it includes a sub-axis 10, a mother axis 5 and a winding drum 3, and a mother axis handle 1 and a sub-axis handle 9 are respectively provided above the mother axis 5 and the sub-axis 10. The near mother axis 5 is strung in the central hole 13 of the winding drum 3, and a wire-reeling device is provided above the winding drum 3. A measuring ruler 8 is wound around the winding drum 3, and the other end of the measuring ruler 8 is connected to the sub-axis 10. Sub-axis slots 6 for accommodating the sub-axis 10 are correspondingly provided on the edges of the upper end plate and the lower end plate of the winding drum 3, and the sub-axis 10 is fixed to the winding drum 3 through the sub-axis slots 6.

[0092] like Figure 1 As shown, a wire loop 7 is provided on the edge of the lower end plate of the winding drum 3 , the plane where the wire loop 7 is located is inclined toward the outside or arranged vertically, and the measuring ruler 8 can pass through the wire loop 7 .

[0093] like Figure 1 As shown, the wire-winding device includes a wire winding handle 2, a connecting rod 4 and a column 11. The column 11 is inserted into a column hole 12 on the edge of the upper end plate of the wire winding reel 3. The two ends of the connecting rod 4 are respectively connected to the wire winding handle 2 and the column 11 through a ball joint. A limit fixing ring 14 is provided under the wire winding reel 3. The limit fixing ring 14 passes through the mother shaft 5 and is fixed at the center hole 13 under the wire winding reel 3.

[0094] Further optimize the above technical solution, such as Figure 3 As shown, a density relationship diagram of plant spacing and row spacing is engraved above the winding drum 3.

[0095] The device of the present invention can be used for quinoa seedling determination and plant spacing during hole sowing through its innovative design, and can also be used to determine the density of quinoa after seedling determination. A method for constructing a quinoa planting monthly density model and a device for measuring density of the present invention have multiple significant beneficial effects: First, accurate planting density, according to the characteristics of quinoa varieties, accurately determine the optimal planting density, thereby improving the yield and quality of quinoa. Second, save resources, reasonable planting density avoids the waste of seeds and land resources, and improves land utilization rate and seed survival rate. Third, it is convenient for field management, uniform planting density and reasonable plant spacing provide convenience for field fertilization, weeding, pest control and other management measures. .

[0096] In the description of the present invention, it should be understood that the terms "up", "down", "left", "right" and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed or operate in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0097] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features.

[0098] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of protection of the claims of the present invention.

Claims

1. A method for constructing a quinoa planting monthly density model, characterized in that: The following steps are involved: Step 1: Determine the quinoa variety, the seed leg spacing of the local planter, and the time of Jingzhe in the planting year, and establish a quinoa sample data set; Step 2, setting parameters, including plant spacing variable, row spacing variable, density variable, plant height variable, early spring maximum plant height variable, single plant leaf area variable, optimal leaf area index variable and optimal leaf area variable; Step 3: Establish the relationship between the leaf area of ​​a single plant and plant height, and fit the relationship between plant height and sowing period; Step 4. Construct the optimal planting monthly density model for quinoa: the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the leaf area of ​​a single plant and the plant height multiplied by the value obtained by the expression of the relationship between the plant height and the sowing period, and then divided by the optimal leaf area index variable. After simplification, the product of the row spacing variable and the plant spacing variable is equal to an expression divided by the optimal leaf area index variable.

2. The method for constructing a quinoa planting monthly density model according to claim 1, characterized in that: The units of the plant spacing variable, row spacing variable, plant height variable and early spring maximum plant height variable are centimeters, the unit of the density variable is plant / mu, and the unit of the single plant leaf area variable and the optimal leaf area variable is square centimeters.

3. The method for constructing a quinoa planting monthly density model according to claim 1, characterized in that: The density variable may be equivalent to a fixed value related to the area unit multiplied by ten thousand and then divided by the product of the row spacing variable and the plant spacing variable.

4. The method for constructing a quinoa planting monthly density model according to claim 1, characterized in that: The relationship between plant height and leaf area per plant is that the variable of leaf area per plant is equal to a coefficient multiplied by the variable of plant height minus a fixed value. The accuracy of this relationship can be determined by a value similar to a correlation coefficient. The relationship between plant height and sowing period (the number of days after Jingzhe plus 10 days) is that the variable of plant height is equal to a coefficient multiplied by the variable of sowing period plus a fixed value. The accuracy of this relationship can also be determined by a value similar to a correlation coefficient.

5. The method for constructing a quinoa planting monthly density model according to claim 4, characterized in that: The derivation process of the formula is as follows: the optimal leaf area variable is equal to the single plant leaf area variable multiplied by the density variable, and because the optimal leaf area variable is equal to the optimal leaf area index variable multiplied by a fixed value and then multiplied by ten thousand; substituting the relationship between the single plant leaf area and the plant height into it, it can be obtained that the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the single plant leaf area and the plant height multiplied by a fixed value and then multiplied by ten thousand divided by the optimal leaf area variable; further simplification can be obtained that the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the single plant leaf area and the plant height multiplied by a fixed value and then multiplied by ten thousand divided by the optimal leaf area index variable multiplied by a fixed value and then multiplied by ten thousand, and finally the product of the row spacing variable and the plant spacing variable is equal to the value in the expression of the relationship between the single plant leaf area and the plant height divided by the optimal leaf area index variable.

6. The method for constructing a quinoa planting monthly density model according to claim 1, characterized in that: The optimum leaf area index variable may be within an empirical value range or further verified, the range of the row spacing variable is relatively fixed, and the relationship between the row spacing variable and the plant spacing variable may be determined by variety characteristics or trial planting.

7. The method for constructing a quinoa planting monthly density model according to claim 1, characterized in that: The plant spacing variable is equal to a fixed value multiplied by ten thousand and then divided by the product of the row spacing variable and the density variable.

8. A device for measuring the monthly density of quinoa planting, characterized in that: It includes a sub-shaft, a mother shaft and a winding reel, wherein a mother shaft handle and a sub-shaft handle are respectively provided above the mother shaft and the sub-shaft, the proximal mother shaft is strung in the central hole of the winding reel, a wire-reeling device is provided above the winding reel, a measuring ruler is wound on the winding reel, and the other end of the measuring ruler is connected to the sub-shaft, and sub-shaft clamping grooves for accommodating the sub-shaft are correspondingly provided on the edges of the upper end plate and the lower end plate of the winding reel, and the sub-shaft is fixed to the winding reel through the sub-shaft clamping grooves.

9. The device for measuring the monthly density of quinoa planting according to claim 1, characterized in that: A wire ring is provided on the edge of the lower end plate of the winding drum, the plane where the wire ring is located is inclined outward or arranged vertically, the measuring ruler can pass through the wire ring, and a density relationship diagram of plant spacing and row spacing is engraved above the winding drum.

10. The device for measuring the monthly density of quinoa planting according to claim 1, characterized in that: The wire-winding device comprises a wire winding handle, a connecting rod and a column. The column is inserted into a column hole at the edge of the upper end plate of the wire winding reel. The two ends of the connecting rod are respectively connected to the wire winding handle and the column through a ball joint. A limit fixing ring is provided under the wire winding reel. The limit fixing ring passes through the mother shaft and is fixed at the center hole under the wire winding reel.

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