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A method to determine the suitable population capacity of maize based on source-sink relationship

A technology for determining the relationship and corn, which is applied in the fields of grain cultivation, etc., can solve the problem of difficult control and does not consider the relationship balance between the "source" organ of the plant leaf area and the population capacity, so as to achieve a small footprint and promote high-yield cultivation of crops Research, the effect of promoting research

Inactive Publication Date: 2020-11-24
INST OF COTTON RES CHINESE ACAD OF AGRI SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Previous studies believed that based on the quadratic function relationship between population yield ("sink") and population capacity, an appropriate population capacity could be found, but this method only considered the relationship between the single factor of grain "sink" and population capacity, and did not consider the The relationship between plant leaf area, dry matter and other "source" organs and population capacity during growth and the balance between "source" and "sink"
In addition, the appropriate population capacity obtained by this method is a specific value rather than a range, which is difficult to control in the field operation process

Method used

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  • A method to determine the suitable population capacity of maize based on source-sink relationship
  • A method to determine the suitable population capacity of maize based on source-sink relationship
  • A method to determine the suitable population capacity of maize based on source-sink relationship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Taking the corn variety Zhengdan 958 in the Xinjiang test base for two consecutive years as an example, the test was planted in wide and narrow rows, with a width of 0.7m and a narrow row of 0.5m. Each plot has 6 rows and the area of ​​the plot is 18m. 2 , with a row length of 5m and a row width of 3.6m, a total of 4 density treatments were set up, and the densities were 4.5, 9, 13.5 and 18 plants m -2 , each treatment was repeated 5 times, and the field management was consistent with the local common field management. The measurement indicators mainly include the following four aspects:

[0065] (1) Records of key growth periods (spinning period and physiological maturity period)

[0066] When the number of plants in a plot entering a certain growth period reached 50%, it was recorded as the date of entering the growth period.

[0067] (2) Determination of effective grain filling period

[0068] Before spinning, select 25-30 representative plants for each plot to ma...

Embodiment 2

[0103] The same method as in Example 1 was used to measure the appropriate population capacity of Zhongdan 909.

[0104] The results of effective grain filling duration are shown in Table 5.

[0105] Table 5 The effect of density on the duration of effective grain filling

[0106]

[0107]

[0108] See Table 6 for the measurement results of single-plant grain accumulation and rate during the effective grain-filling period.

[0109] Table 6 The relationship between the grain accumulation rate and density of a single plant during the effective grain filling period

[0110]

[0111]

[0112] Based on the data of single-plant grain accumulation rate ("pool") during the effective grain filling period under different harvesting densities, a relationship model (II) between "stock" and harvesting density was established: y 库 =-0.39x+7.47, R 2 =0.951 ** , n=24.

[0113] See Table 7 for the measurement results of the dry matter accumulation and rate of a single plant du...

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Abstract

The invention relates to the field of corn planting density measurement, in particular to a method for determining a suitable population size of corns on the basis of a source-sink relationship. The method comprises the following steps: establishing a relation model I for a single-plant dry matter accumulation rate and a harvesting density in an effective grouting period of seeds, establishing a relation model II for a single-plant seed accumulating rate and a harvesting density in an effective grouting period of the seeds, combining the relation model I to the relation model II, and taking the intersected point of the relation model I and the relation model II as the lower limit of the suitable population size; and after physiological maturity, measuring the population size under the condition of different densities, establishing a secondary function model of the population size and the harvesting density, and carrying out secondary derivation on the model to obtain the upper limit ofthe suitable popularization size. The method determines the suitable popularization size on the basis of dynamic change of the source-sink relationship of corns in a yield forming process, then a reasonable population structure is construction, a high-luminous-efficiency micro-environment is created, then production is guided, and a good foundation is provided for high yield of the corns.

Description

technical field [0001] The invention relates to the field of measuring the planting density of corn, in particular to a method for determining the suitable population capacity of corn based on the source-sink relationship. Background technique [0002] Appropriate population capacity is the prerequisite for high-yield crops. How to establish appropriate population capacity and construct a reasonable population structure in high-yield crop cultivation has always been a research hotspot for agricultural researchers. Previous studies believed that based on the quadratic function relationship between population yield ("sink") and population capacity, an appropriate population capacity could be found, but this method only considered the relationship between the single factor of grain "sink" and population capacity, and did not consider the During the growth process, the relationship between "source" organs such as plant leaf area and dry matter and the population capacity and the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A01G22/20
CPCA01G22/20
Inventor 李健谢瑞芝王小博王克如明博郭志军常晓吴嫚李少昆杨兆生
Owner INST OF COTTON RES CHINESE ACAD OF AGRI SCI
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