Early recognition method for resistant gramineous weeds in rice field based on leaf age dynamic monitoring
By spraying herbicides in the early growth stage of grassy weeds in paddy fields and measuring leaf age, the problem of high cost and inability to identify weed resistance in the existing technology has been solved, enabling rapid and low-cost identification of resistant weeds and rational rotation of herbicides.
Patent Information
- Application Number
- CN202511711578.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-20
- Publication Date
- 2026-02-13
AI Technical Summary
In existing technologies, the problem of weed resistance caused by chemical herbicides is becoming increasingly prominent. Existing detection methods are costly or unable to identify weeds in their early stages, thus missing the optimal control period.
Herbicides were sprayed on paddy fields when grassy weeds reached the 2-3 leaf stage, and leaf age was measured regularly. The resistance of weeds to herbicides was judged based on the growth of leaf age. This included the use of ACCase, ALS and hormone-based herbicides. The spraying dosage was 1-2 times the recommended dosage, and the frequency was once every 1-2 days. The observation continued for 15-21 days after the application.
It enables rapid and low-cost identification of weed resistance types in the early stages of weed growth, providing a basis for precision weed control, and is suitable for field operations, supporting the rational rotation of herbicides.
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Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of agricultural weed control, and particularly relates to a rice field resistant grass weed early identification method based on leaf age dynamic monitoring. BACKGROUND
[0002] With the popularization of direct seeding rice and other simple cultivation techniques, the damage of grass weeds such as Echinochloa crus-galli, Euphorbia lathyris and Digitaria sanguinalis is increasingly prominent.
[0003] At present, chemical weeding is still the main means to control weeds, but with the long-term single use of herbicides, the problem of weed resistance is increasingly prominent, and weed populations resistant to commonly used herbicides such as ACCase inhibitors (such as cyhalofop-butyl, metamifop), ALS inhibitors (pentafluoro sulfonamide) and synthetic hormones (such as dichloroquinoline acid) continue to spread.
[0004] The existing resistance detection methods are mostly laboratory molecular detection or whole plant bioassay, the former has high cost and long cycle, and is not suitable for field rapid diagnosis; the latter needs to wait until the middle and late stages of weed growth to judge, which misses the best prevention period.
[0005] Therefore, it is of great significance to develop a rapid, intuitive and field-operable early identification technology for resistant weeds, which can guide scientific use of pesticides and delay the development of resistance. SUMMARY
[0006] The purpose of this section is to summarize some aspects of the embodiments of the application and briefly introduce some preferred embodiments.
[0007] In view of the above and / or problems existing in the prior art, the present application is proposed.
[0008] Therefore, the purpose of the present application is to overcome the deficiencies in the prior art and provide an early identification method for resistant weeds in rice fields.
[0009] To solve the above technical problems, the present application provides the following technical scheme: an early identification method for resistant weeds in rice fields, comprising, When the grass weeds in the rice field grow to 2-3 leaf stage, a sample area is selected and the target herbicide is sprayed; Starting from the 3rd day to the 7th day after spraying, the leaf age of the weeds is measured regularly; According to the leaf age growth, the resistance level of the weeds to the herbicide is judged: if the leaf age growth is greater than or equal to 1.0 new leaf within 7 days after spraying, and the plant grows normally, it is a resistant weed; If the leaf age growth is less than 1.0 new leaf within 7 days after spraying, it is a sensitive weed.
[0010] As a preferred solution of the method of the present application, wherein: the target herbicide includes acetyl-CoA carboxylase inhibitor ACCase, acetolactate synthase inhibitor ALS and hormone herbicide.
[0011] As a preferred solution of the method of the present application, wherein: the ACCase inhibitor herbicide is cyhalofop or metamifop.
[0012] As a preferred solution of the method of the present application, wherein: the ALS inhibitor herbicide is penoxsulam or bensulfuron-methyl.
[0013] As a preferred solution of the method of the present application, wherein: the hormone herbicide is quinclorac.
[0014] As a preferred solution of the method of the present application, wherein: the spraying dose of the herbicide is 1-2 times of the recommended dose.
[0015] As a preferred solution of the method of the present application, wherein: the weed is paddy field grass weed including Echinochloa crus-galli, Euphorbia lathyris and Digitaria sanguinalis.
[0016] As a preferred solution of the method of the present application, wherein: the leaf age measurement frequency is once every 1-2 days, and the observation is continued to 15-21 days after the application.
[0017] Another object of the present application is to overcome the deficiencies in the prior art, and to provide a method for applying herbicide, comprising judging the resistance type of the weed in the field by the early identification method of any one of claims 1-8, and selecting the herbicide or the compound herbicide according to the resistance type of the weed.
[0018] The present application has the following beneficial effects: The present application provides an early identification method for the resistant grass weed in paddy field based on the dynamic monitoring of leaf age, which can quickly judge the resistance type of the weed in the early growth stage, and provide the basis for the precise weed control. BRIEF DESCRIPTION OF DRAWINGS
[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor. Among them: Figure 1 The growth state diagrams of resistant / susceptible Echinochloa crus-galli treated with quinclorac for 5 days and 21 days, wherein the spraying dose of quinclorac is 750 g a.i. ha -1 , and CK is the spraying-free control diagram of Echinochloa crus-galli.
[0020] Figure 2 Figure 1 is a growth state diagram of resistant / susceptible barnyard grass treated with flumioxazin for 7 days and 21 days, wherein the flumioxazin spray dose is 30 g a.i. ha-1, the resistant barnyard grass is divided into ALS target resistant barnyard grass and non-target resistant barnyard grass, and the CK is a non-spray control.
[0021] Figure 2 is a growth state diagram of resistant / susceptible barnyard grass treated with cyhalofop-butyl for 5 days and 21 days, wherein the cyhalofop-butyl spray dose is 105 g a.i. ha-1, and the CK is a non-spray control. Figure 3
[0022] Figure 3 is a growth state diagram of resistant / susceptible barnyard grass treated with metamifop for 5 days and 21 days, wherein the metamifop spray dose is 120 g a.i. ha-1, and the CK is a non-spray control. Figure 4
[0023] Figure 4 is a growth state diagram of resistant / susceptible leafflower treated with cyhalofop-butyl for 5 days and 14 days, wherein the cyhalofop-butyl spray dose is 120 g a.i. ha-1, and the CK is a non-spray control. Figure 5
[0024] Figure 5 is a growth state diagram of resistant / susceptible leafflower treated with metamifop for 5 days and 14 days, wherein, Figure 6 the metamifop spray dose is 120 g a.i. ha-1, and the CK is a non-spray control.
[0025] Figure 6 is a growth state diagram of resistant / susceptible crabgrass treated with cyhalofop-butyl for 3 days, 5 days, and 7 days, wherein, Figure 7 the cyhalofop-butyl spray dose is 105 g a.i. ha-1, and the CK is a non-spray control.
[0026] Figure 7 is a growth state diagram of resistant / susceptible crabgrass treated with metamifop for 3 days, 5 days, and 7 days, wherein the metamifop spray dose is 120 g a.i. ha-1, and the CK is a non-spray control. Figure 8 DETAILED DESCRIPTION
[0027] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the embodiments of the present application.
[0028] Example 1 Resistance identification of barnyard grass to quinclorac: At the 2-3 leaf stage of barnyard grass, 750 g a.i. ha-1 of quinclorac was sprayed. -1 quinclorac; Five days after treatment, the leaf age of the susceptible barnyardgrass stopped growing and the leaf age only increased by 0.3; However, the leaf age of the resistant barnyardgrass increased by 1.2, i.e. from 2.6 leaves to 3.8 leaves; Seven days after treatment, the leaf age of the resistant barnyardgrass increased by 1.8, i.e. from 2.6 leaves to 4.4 leaves; Accordingly, the barnyardgrass in the field can be determined to be a resistant population or a susceptible population, and the growth state and leaf age of the barnyardgrass 21 days after treatment verify the reliability of the results of the efficacy 5 days after treatment.
[0029] The changes in the leaf age of the resistant / susceptible barnyardgrass with the number of days of treatment with quinclorac are shown in Table 1, and the growth state of the resistant / susceptible barnyardgrass 5 days and 21 days after treatment with quinclorac is shown in Figure 1 .
[0030] Table 1 Changes in the leaf age of resistant / susceptible barnyardgrass with the number of days of treatment with quinclorac Note: The leaf age of the susceptible barnyardgrass after treatment with quinclorac is no longer recorded after the plant dies Example 2 Identification of barnyardgrass resistance to penoxsulam: Spraying 30 g a.i. ha -1 Seven days after treatment with penoxsulam, the leaf age of the susceptible barnyardgrass only increased by 0.3 and stopped growing, and the plant tended to die; The leaf age of the target resistant barnyardgrass increased by 1.4 (i.e. from 2.5 leaves to 3.9 leaves), but the leaf age of the non-target resistant barnyardgrass increased by 0.8 (see Figure 2 and Table 2), and accordingly the target resistant barnyardgrass and the metabolic resistant barnyardgrass of penoxsulam were determined.
[0031] Table 2 Changes in the leaf age of resistant / susceptible barnyardgrass with the number of days of treatment with penoxsulam Note: The leaf age of the susceptible plant is no longer recorded after the plant dies Example 3 Identification of barnyardgrass resistance to cyhalofop-butyl: Spraying 105 g a.i. ha -1 Five days after treatment with cyhalofop-butyl, the leaf age of the susceptible barnyardgrass was limited to increase, and the leaf age only increased by 0.8 leaves; The leaf age of the resistant barnyardgrass increased by 1.4 leaves 3 days after treatment, and increased by 2.0 leaves 5 days after treatment, and the plant did not have any inhibited growth compared with the non-treatment control, and accordingly the plant was determined to be a cyhalofop-butyl resistant barnyardgrass.
[0032] The growth state of the resistant / susceptible barnyardgrass 5 days and 21 days after treatment with cyhalofop-butyl is shown in Figure 3See table 3 for the change in leaf age of resistant / susceptible Echinochloa crus-galli with the number of days after treatment with cyhalofop.
[0033] Table 3 Change in leaf age of resistant / susceptible Echinochloa crus-galli with the number of days after treatment with cyhalofop Note: leaf age is no longer recorded after the death of the susceptible plants Example 4 Identification of cyhalofop resistance in Echinochloa crus-galli: 120 g a.i. ha was sprayed -1 On the 3rd day after metoxadiazone, the leaf age of the susceptible Echinochloa crus-galli was limited, and the leaf age only increased by 0.8, and then the leaf age stopped growing; The leaf age of the resistant Echinochloa crus-galli increased by 1.4 on the 3rd day after treatment, and by 2.2 on the 5th day after treatment, and the leaf age of the low-resistant Echinochloa crus-galli increased by 1.2 on the 7th day after treatment, which was judged to be a metoxadiazone-resistant Echinochloa crus-galli (see table 4). Figure 4 and table 4).
[0034] Table 4 Change in leaf age of resistant / susceptible Echinochloa crus-galli with the number of days after treatment with metoxadiazone Note: leaf age is no longer recorded after the death of the susceptible plants Example 5 Identification of cyhalofop resistance in Echinochloa crus-galli: On the 5th day after spraying 105 g a.i. ha-1 cyhalofop, the leaf age of the susceptible Echinochloa crus-galli was limited, and the leaf age only increased by 0.5; The leaf age of the high-resistant Echinochloa crus-galli increased by 2.5 on the 5th day after treatment, and the leaf age of the low-resistant Echinochloa crus-galli increased by 1.9 on the 5th day after treatment, which was judged to be a cyhalofop-resistant Echinochloa crus-galli (see table 5). Figure 5 and table 5).
[0035] Table 5 Change in leaf age of resistant / susceptible Echinochloa crus-galli with the number of days after treatment with cyhalofop Note: leaf age is no longer recorded after the death of the susceptible plants Example 6 Identification of metoxadiazone resistance in Echinochloa crus-galli: 120 g a.i. ha was sprayed -1 On the 5th day after metoxadiazone, the leaf age of the susceptible Echinochloa crus-galli was limited, and the leaf age only increased by 0.5; The leaf age of the high-resistant Echinochloa crus-galli increased by 1.0 on the 5th day after treatment, and by 2.9 on the 7th day after treatment, which was judged to be a metoxadiazone-resistant Echinochloa crus-galli (see table 6). Figure 6 and table 6).
[0036] Table 6 Change in leaf age of resistant / susceptible Echinochloa crus-galli with the number of days after treatment with metoxadiazone Example 7 Resistance identification of Digitaria sanguinalis to cyhalofop-butyl: Spraying 105 g a.i. ha -1 After cyhalofop-butyl, the leaf age of sensitive Digitaria sanguinalis was limited to increase by 0.4, and growth stagnated 3 days after treatment; The leaf age of resistant Digitaria sanguinalis increased by 1.6 7 days after treatment, and it was judged to be cyhalofop-butyl-resistant Digitaria sanguinalis (R) Figure 7 and Table 7.
[0037] Table 7 Change of leaf age of resistant / sensitive Digitaria sanguinalis with cyhalofop-butyl treatment time Note: The leaf age of sensitive plants was no longer recorded after death Example 8 Resistance identification of Digitaria sanguinalis to isoxaflotole: Spraying 105 g a.i. ha -1 After isoxaflotole, the leaf age of sensitive Digitaria sanguinalis was limited to increase by 0.3 3 days after treatment; The leaf age of resistant Digitaria sanguinalis increased by 1.2 5 days after treatment and 2.4 7 days after treatment, and it was judged to be isoxaflotole-resistant Digitaria sanguinalis (R) Figure 8 and Table 8.
[0038] Table 8 Change of leaf age of resistant / sensitive Digitaria sanguinalis with isoxaflotole treatment time Note: The leaf age of sensitive plants was no longer recorded after death The present application can quickly identify resistant weeds within 3-7 days after treatment by combining leaf age growth dynamics with phenotypes, and is simple and low in cost, suitable for field application, and provides key technical support for resistance management and reasonable rotation of herbicides.
[0039] It should be noted that the above examples are only used to illustrate the technical solutions of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and they should be covered in the scope of the present application.
Claims
1. A method for early identification of resistant weeds in a rice field, characterized by: The method comprises the following steps: Selecting a sample area and spraying a target herbicide when the gramineous weeds in the rice field grow to 2-3 leaf stages; Starting from the third day to the seventh day after the spraying, measuring the leaf age of the weeds regularly; According to the leaf age growth, judging the resistance level of the weeds to the herbicide: if the leaf age grows more than 1.0 new leaves within 7 days after the spraying, and the plant grows normally, the weeds are resistant weeds; If the leaf age grows less than 1.0 new leaves within 7 days after the spraying, the weeds are sensitive weeds.
2. The method of claim 1, wherein: The target herbicide comprises acetyl-CoA carboxylase inhibitors (ACCase), acetolactate synthase inhibitors (ALS) and hormone herbicides.
3. The method of claim 2, wherein: The ACCase inhibitor herbicide is cyhalofop-butyl or metamifop.
4. The method of any one of claims 1-3, wherein: The ALS inhibitor herbicide is penoxsulam or bensulfuron-methyl.
5. The method of claim 4, wherein: The hormone herbicide is quinclorac.
6. The method of claim 1, wherein: The spraying dose of the herbicide is 1-2 times of the recommended dose.
7. The method of claim 1 or 6, wherein: The weeds are gramineous weeds in the rice field, including Echinochloa crus-galli, Euphorbia lathyris and Digitaria sanguinalis.
8. The method of claim 1, wherein: The leaf age measurement frequency is once every 1-2 days, and the observation is continued for 15-21 days after the spraying.
9. A method of applying a herbicide, characterized by: The method comprises the following steps: According to the early identification method in any one of claims 1-8, judging the resistance type of the weeds in the field; Selecting a herbicide or a compound herbicide according to the resistance type of the weeds.