CN101199288A - method and use of agricultural cupric-amminium complexion bactericide - Google Patents
method and use of agricultural cupric-amminium complexion bactericide Download PDFInfo
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- CN101199288A CN101199288A CNA2007101570271A CN200710157027A CN101199288A CN 101199288 A CN101199288 A CN 101199288A CN A2007101570271 A CNA2007101570271 A CN A2007101570271A CN 200710157027 A CN200710157027 A CN 200710157027A CN 101199288 A CN101199288 A CN 101199288A
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- cucumber
- copper
- sulphate
- agriculture
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000000844 anti-bacterial effect Effects 0.000 title description 13
- 239000003899 bactericide agent Substances 0.000 title description 12
- 239000007788 liquid Substances 0.000 claims abstract description 34
- 238000002360 preparation method Methods 0.000 claims abstract description 27
- 230000000361 pesticidal effect Effects 0.000 claims abstract description 26
- 238000004519 manufacturing process Methods 0.000 claims abstract description 25
- 239000002028 Biomass Substances 0.000 claims abstract description 17
- CSNNHWWHGAXBCP-UHFFFAOYSA-L Magnesium sulfate Chemical compound [Mg+2].[O-][S+2]([O-])([O-])[O-] CSNNHWWHGAXBCP-UHFFFAOYSA-L 0.000 claims abstract description 16
- 235000011114 ammonium hydroxide Nutrition 0.000 claims abstract description 11
- NWONKYPBYAMBJT-UHFFFAOYSA-L zinc sulfate Chemical compound [Zn+2].[O-]S([O-])(=O)=O NWONKYPBYAMBJT-UHFFFAOYSA-L 0.000 claims abstract description 9
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 229910052943 magnesium sulfate Inorganic materials 0.000 claims abstract description 8
- 235000019341 magnesium sulphate Nutrition 0.000 claims abstract description 8
- 235000007079 manganese sulphate Nutrition 0.000 claims abstract description 8
- 239000011702 manganese sulphate Substances 0.000 claims abstract description 8
- SQQMAOCOWKFBNP-UHFFFAOYSA-L manganese(II) sulfate Chemical compound [Mn+2].[O-]S([O-])(=O)=O SQQMAOCOWKFBNP-UHFFFAOYSA-L 0.000 claims abstract description 8
- 229910000366 copper(II) sulfate Inorganic materials 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims abstract description 7
- 150000007524 organic acids Chemical class 0.000 claims abstract description 6
- 240000008067 Cucumis sativus Species 0.000 claims description 37
- 235000010799 Cucumis sativus var sativus Nutrition 0.000 claims description 37
- BESJRHHIPGWPTC-UHFFFAOYSA-N azane;copper Chemical compound N.[Cu] BESJRHHIPGWPTC-UHFFFAOYSA-N 0.000 claims description 33
- 240000007594 Oryza sativa Species 0.000 claims description 29
- 235000021419 vinegar Nutrition 0.000 claims description 29
- 239000000052 vinegar Substances 0.000 claims description 29
- 235000007164 Oryza sativa Nutrition 0.000 claims description 28
- 235000009566 rice Nutrition 0.000 claims description 28
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 26
- 239000000645 desinfectant Substances 0.000 claims description 20
- 235000017166 Bambusa arundinacea Nutrition 0.000 claims description 17
- 235000017491 Bambusa tulda Nutrition 0.000 claims description 17
- 235000015334 Phyllostachys viridis Nutrition 0.000 claims description 17
- 239000011425 bamboo Substances 0.000 claims description 17
- ARUVKPQLZAKDPS-UHFFFAOYSA-L copper(II) sulfate Chemical compound [Cu+2].[O-][S+2]([O-])([O-])[O-] ARUVKPQLZAKDPS-UHFFFAOYSA-L 0.000 claims description 16
- 239000000203 mixture Substances 0.000 claims description 14
- 229910021529 ammonia Inorganic materials 0.000 claims description 13
- 201000010099 disease Diseases 0.000 claims description 13
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 13
- 238000003756 stirring Methods 0.000 claims description 12
- 241000233679 Peronosporaceae Species 0.000 claims description 11
- 239000000243 solution Substances 0.000 claims description 10
- 241000223218 Fusarium Species 0.000 claims description 9
- UHPMCKVQTMMPCG-UHFFFAOYSA-N 5,8-dihydroxy-2-methoxy-6-methyl-7-(2-oxopropyl)naphthalene-1,4-dione Chemical compound CC1=C(CC(C)=O)C(O)=C2C(=O)C(OC)=CC(=O)C2=C1O UHPMCKVQTMMPCG-UHFFFAOYSA-N 0.000 claims description 8
- 235000009529 zinc sulphate Nutrition 0.000 claims description 8
- 239000011686 zinc sulphate Substances 0.000 claims description 8
- 206010039509 Scab Diseases 0.000 claims description 7
- 235000007688 Lycopersicon esculentum Nutrition 0.000 claims description 6
- 240000003768 Solanum lycopersicum Species 0.000 claims description 6
- 240000008042 Zea mays Species 0.000 claims description 6
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 claims description 6
- 235000002017 Zea mays subsp mays Nutrition 0.000 claims description 6
- 235000005822 corn Nutrition 0.000 claims description 6
- 239000000376 reactant Substances 0.000 claims description 6
- 241000123650 Botrytis cinerea Species 0.000 claims description 5
- 240000005979 Hordeum vulgare Species 0.000 claims description 5
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- 235000014443 Pyrus communis Nutrition 0.000 claims description 5
- 230000000536 complexating effect Effects 0.000 claims description 5
- 241000228438 Bipolaris maydis Species 0.000 claims description 4
- 241000221785 Erysiphales Species 0.000 claims description 4
- 241000813090 Rhizoctonia solani Species 0.000 claims description 4
- 241000221662 Sclerotinia Species 0.000 claims description 4
- 241000209140 Triticum Species 0.000 claims description 4
- 235000021307 Triticum Nutrition 0.000 claims description 4
- 239000003905 agrochemical Substances 0.000 claims description 4
- 239000000080 wetting agent Substances 0.000 claims description 4
- ATRRKUHOCOJYRX-UHFFFAOYSA-N Ammonium bicarbonate Chemical compound [NH4+].OC([O-])=O ATRRKUHOCOJYRX-UHFFFAOYSA-N 0.000 claims description 3
- 229910000013 Ammonium bicarbonate Inorganic materials 0.000 claims description 3
- 241000894006 Bacteria Species 0.000 claims description 3
- 235000006008 Brassica napus var napus Nutrition 0.000 claims description 3
- 229920000742 Cotton Polymers 0.000 claims description 3
- 241001361634 Rhizoctonia Species 0.000 claims description 3
- 235000009754 Vitis X bourquina Nutrition 0.000 claims description 3
- 235000012333 Vitis X labruscana Nutrition 0.000 claims description 3
- 240000006365 Vitis vinifera Species 0.000 claims description 3
- 235000014787 Vitis vinifera Nutrition 0.000 claims description 3
- 235000012538 ammonium bicarbonate Nutrition 0.000 claims description 3
- 239000001099 ammonium carbonate Substances 0.000 claims description 3
- 238000009395 breeding Methods 0.000 claims description 3
- 230000001488 breeding effect Effects 0.000 claims description 3
- 241000223600 Alternaria Species 0.000 claims description 2
- 241000213004 Alternaria solani Species 0.000 claims description 2
- 241001558165 Alternaria sp. Species 0.000 claims description 2
- 241000198596 Alternaria tomatophila Species 0.000 claims description 2
- 240000002791 Brassica napus Species 0.000 claims description 2
- 241000901048 Elsinoe ampelina Species 0.000 claims description 2
- 241000163020 Lecanosticta acicola Species 0.000 claims description 2
- 241001347962 Lecanosticta pini Species 0.000 claims description 2
- QAOWNCQODCNURD-UHFFFAOYSA-L Sulfate Chemical compound [O-]S([O-])(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-L 0.000 claims description 2
- 241001512566 Valsa mali Species 0.000 claims description 2
- 241001669638 Venturia nashicola Species 0.000 claims description 2
- 239000007864 aqueous solution Substances 0.000 claims description 2
- 210000000481 breast Anatomy 0.000 claims description 2
- 238000009313 farming Methods 0.000 claims description 2
- 229910021653 sulphate ion Inorganic materials 0.000 claims description 2
- 244000082204 Phyllostachys viridis Species 0.000 claims 1
- 239000003814 drug Substances 0.000 abstract description 16
- 238000002309 gasification Methods 0.000 abstract description 7
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 abstract description 6
- 229910052802 copper Inorganic materials 0.000 abstract description 6
- 239000010949 copper Substances 0.000 abstract description 6
- 239000000575 pesticide Substances 0.000 abstract description 5
- 239000002689 soil Substances 0.000 abstract description 4
- 238000010521 absorption reaction Methods 0.000 abstract description 2
- 229910000368 zinc sulfate Inorganic materials 0.000 abstract description 2
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 abstract 3
- JZCCFEFSEZPSOG-UHFFFAOYSA-L copper(II) sulfate pentahydrate Chemical compound O.O.O.O.O.[Cu+2].[O-]S([O-])(=O)=O JZCCFEFSEZPSOG-UHFFFAOYSA-L 0.000 abstract 3
- 230000000855 fungicidal effect Effects 0.000 abstract 2
- 239000000417 fungicide Substances 0.000 abstract 2
- 239000011541 reaction mixture Substances 0.000 abstract 2
- QGZKDVFQNNGYKY-UHFFFAOYSA-O Ammonium Chemical compound [NH4+] QGZKDVFQNNGYKY-UHFFFAOYSA-O 0.000 abstract 1
- 208000027418 Wounds and injury Diseases 0.000 abstract 1
- 238000013019 agitation Methods 0.000 abstract 1
- 238000010668 complexation reaction Methods 0.000 abstract 1
- 230000006378 damage Effects 0.000 abstract 1
- 208000014674 injury Diseases 0.000 abstract 1
- 238000006386 neutralization reaction Methods 0.000 abstract 1
- 230000035515 penetration Effects 0.000 abstract 1
- 229960001763 zinc sulfate Drugs 0.000 abstract 1
- 238000012360 testing method Methods 0.000 description 30
- 241001330002 Bambuseae Species 0.000 description 16
- 230000003449 preventive effect Effects 0.000 description 11
- 238000011835 investigation Methods 0.000 description 9
- 239000000126 substance Substances 0.000 description 9
- FFSJPOPLSWBGQY-UHFFFAOYSA-N triazol-4-one Chemical compound O=C1C=NN=N1 FFSJPOPLSWBGQY-UHFFFAOYSA-N 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- ABUGVBRDFWGJRD-CHOYNLESSA-N [9-[(2r,3r,4s,5r)-3,4-dihydroxy-5-methyloxolan-2-yl]-2-(2,4-dinitrophenyl)sulfanylpurin-6-yl] [hydroxy(phosphonooxy)phosphoryl] hydrogen phosphate Chemical compound O[C@@H]1[C@H](O)[C@@H](C)O[C@H]1N1C2=NC(SC=3C(=CC(=CC=3)[N+]([O-])=O)[N+]([O-])=O)=NC(OP(O)(=O)OP(O)(=O)OP(O)(O)=O)=C2N=C1 ABUGVBRDFWGJRD-CHOYNLESSA-N 0.000 description 4
- 239000003610 charcoal Substances 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000000197 pyrolysis Methods 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 3
- 230000012010 growth Effects 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 238000005507 spraying Methods 0.000 description 3
- 239000002023 wood Substances 0.000 description 3
- 241000193738 Bacillus anthracis Species 0.000 description 2
- 241000195940 Bryophyta Species 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 2
- 206010021703 Indifference Diseases 0.000 description 2
- 241001558929 Sclerotium <basidiomycota> Species 0.000 description 2
- 239000003153 chemical reaction reagent Substances 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000035558 fertility Effects 0.000 description 2
- 230000005405 multipole Effects 0.000 description 2
- 239000005416 organic matter Substances 0.000 description 2
- 239000003415 peat Substances 0.000 description 2
- 230000000607 poisoning effect Effects 0.000 description 2
- 238000009331 sowing Methods 0.000 description 2
- 239000007921 spray Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 240000007087 Apium graveolens Species 0.000 description 1
- 235000015849 Apium graveolens Dulce Group Nutrition 0.000 description 1
- 235000010591 Appio Nutrition 0.000 description 1
- 241001530056 Athelia rolfsii Species 0.000 description 1
- 240000000385 Brassica napus var. napus Species 0.000 description 1
- 241000207199 Citrus Species 0.000 description 1
- 241000219112 Cucumis Species 0.000 description 1
- 235000015510 Cucumis melo subsp melo Nutrition 0.000 description 1
- 235000008331 Pinus X rigitaeda Nutrition 0.000 description 1
- 235000011613 Pinus brutia Nutrition 0.000 description 1
- 241000018646 Pinus brutia Species 0.000 description 1
- 208000025865 Ulcer Diseases 0.000 description 1
- 241000700647 Variola virus Species 0.000 description 1
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 description 1
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 description 1
- YNGKPBOEQFFHDE-UHFFFAOYSA-N [Zn].N.[Cu] Chemical compound [Zn].N.[Cu] YNGKPBOEQFFHDE-UHFFFAOYSA-N 0.000 description 1
- 239000000642 acaricide Substances 0.000 description 1
- 238000003916 acid precipitation Methods 0.000 description 1
- 239000004480 active ingredient Substances 0.000 description 1
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000853 biopesticidal effect Effects 0.000 description 1
- 235000013339 cereals Nutrition 0.000 description 1
- 235000020971 citrus fruits Nutrition 0.000 description 1
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- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002008 hemorrhagic effect Effects 0.000 description 1
- 239000010903 husk Substances 0.000 description 1
- 238000009396 hybridization Methods 0.000 description 1
- JTEDVYBZBROSJT-UHFFFAOYSA-N indole-3-butyric acid Chemical compound C1=CC=C2C(CCCC(=O)O)=CNC2=C1 JTEDVYBZBROSJT-UHFFFAOYSA-N 0.000 description 1
- 238000003754 machining Methods 0.000 description 1
- 230000003204 osmotic effect Effects 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 239000003755 preservative agent Substances 0.000 description 1
- 230000002335 preservative effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
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Landscapes
- Agricultural Chemicals And Associated Chemicals (AREA)
Abstract
Disclosed is a production method of cuaminosulfate agricultural fungicide and the product use, which belongs to the pesticide preparation production method and product use technique field. The invention is characterized in that the method comprises following processing steps: biomass gasification liquid is added into a reaction kettle, then bluestone is added according to the weight ratio of bluestone to biomass gasification liquid of 1:1.16 and is agitated for dissolving; the mixed liquid is added with excessive ammonia water so as to reach the complete reaction under agitation, the biomass gasification liquid undergoes neutralization with the ammonia water to generate organic acid ammonium, the excessive ammonia water experiences complexation with the bluestone to generate cuaminosulfate; and zinc sulfate, manganese sulphate and magnesium sulphate are added into the reaction mixture, the total quantity added to is 1-10 percent of the gross weight of the reaction mixture, and the finished product can be obtained by complete and even agitating and mixing. The fungicide can quicken the penetration and absorption of medicament and substantially increase pesticide effects, as well as protecting target crops from the pesticide injury caused by copper, thereby reducing the application amount of copper and production cost and protecting the soil environment.
Description
Technical field
The invention belongs to production method and products thereof the purposes technical field of pesticidal preparations, be specially the purposes of a kind of network ammonia copper agricultural bactericidal agent and process for producing same and products thereof.
Background technology
Gasifying biomass liquid is the aqueous material of brown that is condensed at normal temperatures by the gas that collection after vegetable material and the industrial wood waste pyrolysis thereof obtains, mainly contain Bamboo vinegar solution, pyroligneous liquor and careless vinegar liquid at present, Bamboo vinegar solution is the accessory substance that bamboo surplus material of processing obtains through high temperature pyrolysis, pyroligneous liquor is the accessory substance that wood machining residues and shell obtain through high temperature pyrolysis, and careless vinegar liquid is meant the accessory substance that herbaceous plant, crop stalk and crops husk obtain through high temperature pyrolysis.Be processed in the process of corresponding bamboo charcoal, charcoal and the peat composed of rotten mosses at bamboo wood, timber and straw, owing to adopt modern machine to carry out High-efficient Production, the accessory substance of Chan Shenging-gasifying biomass liquid in process of production, never find its purposes and become refuse, many producers do not take recycling to it and directly enter in the atmosphere, and environment has been caused pollution, form local acid rain again easily, therefore and contaminated environment becomes the technical barrier of modern production bamboo charcoal, charcoal and the peat composed of rotten mosses.Simultaneously, closely for many years, biopesticide is developed to has market-oriented kind seldom, does not satisfy the needs of the production of modern green and organic farm products far away.
Application number: 93100191, name is called: 70% network copper-zinc-ammonia wettable germicide-acaricide and promote the plant growing compound powder and the application documents of method for making disclose to react with cupric sulfate pentahydrate and white vitriol and carbonic hydroammonium and make 70% complexed ammonia copper and zinc powder earlier, and then be mixed and made into neopelex and indolebutyric acid, for plant (particularly citrus) ulcer, it is effective especially to remove mite, and can promote the growth of plant, whether agricultural disease is had bactericidal action and do not describe.
Summary of the invention
For overcoming problems of the prior art, the objective of the invention is to design the technical scheme of the purposes that a kind of network ammonia copper agricultural bactericidal agent and process for producing same and products thereof is provided, production cost is low, and the bactericidal effect of product is good and little to environmental influence.
The production method of described a kind of network ammonia copper disinfectant use in agriculture is characterized in that comprising following processing step:
1) add gasifying biomass liquid in reactor, the weight ratio in copper sulphate and gasifying biomass liquid is 1 then: the ratio of 1-16 adds copper sulphate, stirring and dissolving;
2) add excessive ammonia in the above-mentioned mixed liquor, stir down to complete reaction, in gasifying biomass liquid and the ammoniacal liquor and back generates organic acid ammonia, and excessive ammonia and copper sulphate complexing generate network ammonia copper;
3) add zinc sulphate, manganese sulphate and magnesium sulfate in the above-mentioned reactant mixture, three kinds of sulphate equivalent add, and adding up to addition is the 1-10% of reactant mixture gross weight, gets product after fully stirring, mixing;
Described gasifying biomass liquid is Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid.
The production method of described a kind of network ammonia copper disinfectant use in agriculture is characterized in that described copper sulphate substitutes with the cupric sulfate pentahydrate of equivalent.
The production method of described a kind of network ammonia copper disinfectant use in agriculture is characterized in that described ammoniacal liquor substitutes with the ammonium hydrogencarbonate aqueous solution of equivalent; Or feed the ammonia of equivalent behind the thin up.
The production method of described a kind of network ammonia copper disinfectant use in agriculture is characterized in that in the final reacting mixture adding the agricultural chemicals wetting agent of 1-10%, and described agricultural chemicals wetting agent is one or more mixtures in OP-10, JFC and the farming breast 602.
The production method of described a kind of network ammonia copper disinfectant use in agriculture, the weight ratio that it is characterized in that described copper sulphate and gasifying biomass liquid is 1: 2-15; Be preferably 1: 4-14; More preferably 1: 5-12.
The production method of described a kind of network ammonia copper disinfectant use in agriculture is characterized in that described equivalent zinc sulphate, manganese sulphate and magnesium sulfate addition are the 1-8% of reactant mixture gross weight; Be preferably 2-6% 3-5% more preferably.
A kind of network ammonia copper disinfectant use in agriculture that makes is is as stated above prevented and treated early blight of tomato (Alternaria Solani) in preparation, pear scab (pear scab, venturia nashicola), rice sheath blight disease rice sheath blight (Rhizoctonia solani K ü hn), corn southern leaf blight (Bipolaris maydis, Cochliobolus heterostrophus), the corn northern leaf blight (Exsero turcicum, Trichometasphaeriaturcical), cotton wilt (Fsarium oxysporum f.sp.vasinfectum (Atk.) Synder andHanen), cucumber fusarium axysporum (Cucumber Fusarium Wilt), graw mold of tomato (tomato gray mold), cucumber anthracnose (Cucumber anthracnose), wheat scab (Wheat Breeding), apple canker (Valsa mali Miyabe et Yamada), anthracnose (Anthracnose), rice blast (rice blast), Brown Spot of Pine Needles (Brown spot needle blight fungus), powdery mildew of cucumber (Cucumber powderymildew), barley head blight (Fusarium Head Blight in Barley), sclerotinia rot of colza (rapesclertiniose), Alternaria (Alternaria sp.), rhizoctonia (Rhizoctonia solani Kuhn), stem rot of cucumber (Cucumber Sclerotinia rot), anthracnose of grape (Elsinoe ampelina (De B.) Shear.), Botrytis cinerea (Botrytis cinerea), sickle-like bacteria (Fusarium), application in rice green smut (Rice FalseSmut) or cucumber downy mildew (the cucumber downy mildew) pesticidal preparations.
Described a kind of network ammonia copper disinfectant use in agriculture is an aqua.Described a kind of network ammonia copper disinfectant use in agriculture also has the wood mould preservative efficacy, can be used as the application of Wood protecting agent.
The product that the production method of above-mentioned a kind of network ammonia copper disinfectant use in agriculture makes, can not only accelerate the osmotic absorption of medicine and increase considerably drug effect, also the target crop had protective effect, be not subjected to copper that crop is caused the poisoning effect, significantly reduced the usage amount of copper, reach same bactericidal effect, protect the target crop not to be subjected to poisoning again, reduced production cost, because of soil environment has also been protected in the minimizing of copper usage amount, disinfectant use in agriculture that makes and Environmental compatibility are good, and the safety in production of agricultural product is had important effect; Simultaneously, use gasifying biomass liquid to belong to twice laid, it is cheap, easily the industrialization and the marketization.
Percentage composition is a weight percentage in the present specification.
Embodiment
Below in conjunction with the test of pesticide effectiveness, further specify beneficial effect of the present invention.
Embodiment 1
In the 2000L reactor, drop into 1000L Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid and 232kg cupric sulfate pentahydrate, stirred 20 minutes, add 500L ammoniacal liquor gradually, stirring is down to complete reaction, in Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid and the ammoniacal liquor and back generates organic acid ammonia, complexing generates network ammonia copper after 30 minutes, add zinc sulphate 15kg, manganese sulphate 7.5kg, magnesium sulfate 7.5kg, OP-1015L again, fully stir, mix the back final products 14% bamboo vinegar, wooden vinegar or careless vinegar network ammonia copper aqua.
Embodiment 2
In the 2000L reactor, drop into 1000L Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid and 266kg copper sulphate, stirred 20 minutes, feed the 435kg ammonia gradually, stirring is down to complete reaction, in Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid and the ammoniacal liquor and back generates organic acid ammonia, complexing generates network ammonia copper after 30 minutes, add 10kg zinc sulphate, 5kg manganese sulphate, 5kg magnesium sulfate, JFC 30L again, fully stir, mix the back final products 25% bamboo vinegar, wooden vinegar or careless vinegar network ammonia copper aqua.
Embodiment 3
In the 2000L reactor, drop into 1000L grass vinegar liquid, pyroligneous liquor or Bamboo vinegar solution and 425kg copper sulphate, stirred 30 minutes, add the 800kg ammonium hydrogencarbonate gradually, stirring is down to complete reaction, in grass vinegar liquid, pyroligneous liquor or Bamboo vinegar solution and the ammoniacal liquor and back generates organic acid ammonia, complexing generates network ammonia copper after 30 minutes, add 20kg zinc sulphate, 8kg manganese sulphate, 8kg magnesium sulfate, agricultural newborn 602# 30L again, fully stir, mix the back final products 40% careless vinegar, wooden vinegar or bamboo vinegar network ammonia copper aqua.
The control efficiency of above-mentioned disinfectant use in agriculture below is described by test.
1. pear scab
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.2967X+2.9025 | 0.624 | 0.210 | 304.3279 |
| Embodiment 2 | Y＝0.1145X+1.3417 | 0.105 | 0.677 | 641.8912 | |
| Embodiment 3 | Y＝0.2650X+2.6456 | 0.388 | 0.377 | 304.5718 | |
| 48h | Embodiment 1 | Y＝0.3937X+3.3788 | 0.557 | 0.253 | 667.3695 |
| Embodiment 2 | Y＝0.5559X+4.5809 | 0.515 | 0.282 | 648.3574 | |
| Embodiment 3 | Y＝0.4953X+4.0332 | 0.515 | 0.283 | 797.9581 |
2. tomato epidemic disease early
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48h | Embodiment 1 | Y＝0.5071X+4.7223 | 0.924 | 0.039 | 242.0502 |
| Embodiment 2 | Y＝0.4655X+4.3225 | 0.960 | 0.020 | 271.4859 | |
| Embodiment 3 | Y＝0.4989X+4.5556 | 0.813 | 0.098 | 294.8382 | |
| 72h | Embodiment 1 | Y＝0.4723X+4.3922 | 0.942 | 0.029 | 263.6341 |
| Embodiment 2 | Y＝0.4327X+4.0010 | 0.865 | 0.070 | 306.2661 | |
| Embodiment 3 | Y＝0.4670X+4.2872 | 0.899 | 0.052 | 300.6283 | |
| 96h | Embodiment 1 | Y＝0.4576X+4.2419 | 0.922 | 0.040 | 280.9795 |
| Embodiment 2 | Y＝0.4220X+3.9103 | 0.835 | 0.086 | 309.2751 | |
| Embodiment 3 | Y＝0.4549X+4.1637 | 0.863 | 0.071 | 317.8733 | |
| 120h | Embodiment 1 | Y＝0.4634X+4.2362 | 0.883 | 0.060 | 315.1125 |
| Embodiment 2 | Y＝0.4141X+3.8321 | 0.798 | 0.107 | 320.1864 | |
| Embodiment 3 | Y＝0.4454X+4.0777 | 0.848 | 0.079 | 324.7175 | |
| 144h | Embodiment 1 | Y＝0.4015X+3.7692 | 0.826 | 0.091 | 290.9190 |
| Embodiment 2 | Y＝0.4080X+3.7672 | 0.752 | 0.133 | 332.8418 | |
| Embodiment 3 | Y＝0.4571X+4.1400 | 0.818 | 0.096 | 348.0214 | |
| 168h | Embodiment 1 | Y＝0.4291X+3.9601 | 0.839 | 0.084 | 314.7847 |
| Embodiment 2 | Y＝0.4043X+3.7559 | 0.781 | 0.116 | 318.0893 | |
| Embodiment 3 | Y＝0.4200X+3.8667 | 0.787 | 0.113 | 330.1537 | |
| 192h | Embodiment 1 | Y＝0.4823X+4.3409 | 0.838 | 0.085 | 347.8582 |
| Embodiment 2 | Y＝0.4748X+4.2657 | 0.811 | 0.100 | 359.3805 | |
| Embodiment 3 | Y＝0.4588X+4.1645 | 0.842 | 0.083 | 339.8044 |
3. rice banded sclerotial blight
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.6564X+5.8559 | 0.781 | 0.116 | 286.0035 |
| Embodiment 2 | Y＝0.5536X+5.0931 | 0.973 | 0.014 | 249.3172 | |
| Embodiment 3 | Y＝0.7507X+6.5605 | 0.932 | 0.034 | 311.8053 | |
| 48h | Embodiment 1 | Y＝0.5275X+4.8724 | 0.805 | 0.103 | 251.2882 |
| Embodiment 2 | Y＝0.4847X+4.5343 | 0.999 | 0.001 | 242.7951 | |
| Embodiment 3 | Y＝0.5431X+4.9514 | 0.879 | 0.062 | 275.6770 |
4. corn stigma
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.2114X+2.3298 | 0.199 | 0.554 | 174.1438 |
| Embodiment 2 | Y＝0.2029X+2.2303 | 0.166 | 0.592 | 197.8807 | |
| Embodiment 3 | Y＝0.7458X+6.5481 | 0.284 | 0.467 | 300.6551 | |
| 48h | Embodiment 1 | Y＝0.5379X+6.5481 | 0.703 | 0.162 | 13.0867 |
| Embodiment 2 | Y＝0.8995X+7.5279 | 0.884 | 0.060 | 404.3950 | |
| Embodiment 3 | Y＝0.5990X+5.0708 | 0.917 | 0.042 | 485.3123 | |
| 72h | Embodiment 1 | Y＝-6.4764X-65.398 | 0.061 | 0.753 | 38.1076 |
| Embodiment 2 | Y＝0.4277X+3.8171 | 0.877 | 0.063 | 428.3072 | |
| Embodiment 3 | Y＝1.6318X+12.9403 | 0.817 | 0.096 | 488.7463 |
5. cotton is withered
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.5399X+4.7666 | 0.850 | 0.078 | 369.7903 |
| Embodiment 2 | Y＝0.4635X+3.9417 | 0.461 | 0.321 | 595.8876 | |
| Embodiment 3 | Y＝9.3748X+62.4729 | 0.073 | 0.729 | 1346.0462 | |
| 48h | Embodiment 1 | Y＝0.5928X+5.3416 | 0.789 | 0.112 | 283.7714 |
| Embodiment 2 | Y＝0.4241X+3.8100 | 0.623 | 0.211 | 407.7880 | |
| Embodiment 3 | Y＝0.5759X+5.1653 | 0.858 | 0.074 | 303.2705 | |
| 72h | Embodiment 1 | Y＝0.6140X+5.4019 | 0.885 | 0.059 | 341.0265 |
| Embodiment 2 | Y＝0.4946X+4.3031 | 0.667 | 0.183 | 457.7242 | |
| Embodiment 3 | Y＝0.6007X+5.3460 | 0.780 | 0.117 | 313.6431 | |
| 96h | Embodiment 1 | Y＝-4.2061X-28.933 | 0.830 | 0.089 | 913.9874 |
| Embodiment 2 | Y＝-4.1422X-28.172 | 0.871 | 0.067 | 985.9297 | |
| Embodiment 3 | Y＝-3.4168X-21.512 | 0.611 | 0.218 | 1592.7628 |
6. tomato gray mould
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.2836X+3.0216 | 0.499 | 0.293 | 137.5674 |
| Embodiment 2 | Y＝0.3898X+3.8278 | 0.961 | 0.020 | 196.0387 | |
| Embodiment 3 | Y＝0.4334X+4.2166 | 0.962 | 0.019 | 188.6815 | |
| 48h | Embodiment 1 | Y＝0.4558X+4.2724 | 0.925 | 0.038 | 254.4422 |
| Embodiment 2 | Y＝0.4369X+4.0328 | 0.873 | 0.065 | 307.7998 | |
| Embodiment 3 | Y＝0.5062X+4.6472 | 0.934 | 0.033 | 276.6357 | |
| 72h | Embodiment 1 | Y＝0.4129X+3.8021 | 0.756 | 0.130 | 336.3575 |
| Embodiment 2 | Y＝0.4158X+3.8695 | 0.829 | 0.089 | 302.4315 | |
| Embodiment 3 | Y＝0.4388X+4.0248 | 0.797 | 0.107 | 324.6325 |
7. cucumber is withered
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.4511X+3.9372 | 0.558 | 0.253 | 490.7398 |
| Embodiment 2 | Y＝0.5592X+4.6076 | 0.939 | 0.031 | 645.4947 | |
| Embodiment 3 | Y＝0.6027X+4.9241 | 0.928 | 0.037 | 648.7469 | |
| 48h | Embodiment 1 | Y＝0.4924X+4.2190 | 0.573 | 0.243 | 524.6377 |
| Embodiment 2 | Y＝0.5754X+4.5530 | 0.795 | 0.108 | 872.8075 | |
| Embodiment 3 | Y＝0.5898X+4.5658 | 0.723 | 0.150 | 1014.33380 | |
| 72h | Embodiment 1 | Y＝0.6859X+5.5983 | 0.572 | 0.244 | 591.4060 |
| Embodiment 2 | Y＝0.8329X+6.2434 | 0.806 | 0.102 | 1012.1629 | |
| Embodiment 3 | Y＝0.7933X+5.8943 | 0.707 | 0.159 | 1113.9717 | |
| 96h | Embodiment 1 | Y＝0.6904X+5.2573 | 0.732 | 0.144 | 1017.2594 |
| Embodiment 2 | Y＝0.6747X+5.1227 | 0.687 | 0.171 | 1057.8788 | |
| Embodiment 3 | Y＝0.6507X+4.9339 | 0.639 | 0.201 | 1098.2310 | |
| 120h | Embodiment 1 | Y＝0.6815X+5.1963 | 0.740 | 0.140 | 1016.7718 |
| Embodiment 2 | Y＝0.6387X+4.8693 | 0.665 | 0.184 | 1069.1120 | |
| Embodiment 3 | Y＝0.6592X+5.0039 | 0.679 | 0.176 | 1078.2967 | |
| 144h | Embodiment 1 | Y＝0.6481X+4.9582 | 0.713 | 0.156 | 1029.2996 |
| Embodiment 2 | Y＝0.6325X+4.8240 | 0.666 | 0.184 | 1074.0018 | |
| Embodiment 3 | Y＝0.6189X+4.7052 | 0.622 | 0.211 | 1119.7659 | |
| 168h | Embodiment 1 | Y＝0.6249X+4.7829 | 0.678 | 0.177 | 1055.5043 |
| Embodiment 2 | Y＝0.5527X+4.1831 | 0.657 | 0.190 | 1276.2463 | |
| Embodiment 3 | Y＝0.4182X+3.0670 | 0.600 | 0.225 | 2158.7814 | |
| 192h | Embodiment 1 | Y＝0.5262X+4.1284 | 0.600 | 0.225 | 1012.3540 |
| Embodiment 2 | Y＝0.4367X+3.3960 | 0.600 | 0.225 | 1318.1120 | |
| Embodiment 3 | Y＝0.3017X+2.2908 | 0.600 | 0.225 | 2643.3778 |
8. the big spot of corn
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.4817X+4.3224 | 0.837 | 0.085 | 357.9099 |
| Embodiment 2 | Y＝0.7173X+6.2144 | 1.000 | 0.009 | 346.8767 | |
| Embodiment 3 | Y＝0.4932X+4.4519 | 0.908 | 0.047 | 331.2048 | |
| 48 | Embodiment 1 | Y＝0.448X+4.090 | 0.836 | 0.085 | 330.9998 |
| Embodiment 2 | Y＝0.6925X+5.9039 | 0.827 | 0.273 | 408.3174 | |
| Embodiment 3 | Y＝0.683X+5.867 | 0.890 | 0.216 | 386.6543 | |
| 72 | Embodiment 1 | Y＝0.739X+6.247 | 0.850 | 0.253 | 419.3833 |
| Embodiment 2 | Y＝0.704X+6.019 | 0.899 | 0.205 | 393.8704 | |
| Embodiment 3 | Y＝0.716X+6.093 | 0.881 | 0.225 | 405.0693 | |
| 96 | Embodiment 1 | Y＝0.730X+6.180 | 0.849 | 0.254 | 417.6687 |
| Embodiment 2 | Y＝0.697X+5.955 | 0.868 | 0.237 | 399.06 | |
| Embodiment 3 | Y＝0.730X+6.180 | 0.849 | 0.254 | 417.6687 | |
| 120 | Embodiment 1 | Y＝0.757X+6.370 | 0.851 | 0.253 | 428.8972 |
| Embodiment 2 | Y＝0.712X+6.055 | 0.854 | 0.249 | 408.9301 | |
| Embodiment 3 | Y＝0.750X+6.354 | 0.914 | 0.190 | 407.5555 | |
| 144 | Embodiment 1 | Y＝0.4790X+4.2204 | 0.708 | 0.158 | 423.4756 |
| Embodiment 2 | Y＝0.4652X+4.1434 | 0.736 | 0.142 | 396.8706 | |
| Embodiment 3 | Y＝0.4958X+4.4041 | 0.810 | 0.100 | 380.3782 |
9. cucumber anthrax
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.429X+4.422 | 0.992 | 0.004 | 107.0525 |
| Embodiment 2 | Y＝0.574X+5.282 | 0.948 | 0.026 | 240.9285 | |
| Embodiment 3 | Y＝0.547X+5.271 | 0.884 | 0.221 | 162.9413 | |
| 48 | Embodiment 1 | Y＝0.445X+4.279 | 0.982 | 0.009 | 205.0750 |
| Embodiment 2 | Y＝0.753X+6.423 | 0.974 | 0.103 | 383.6155 | |
| Embodiment 3 | Y＝0.536X+4.979 | 0.926 | 0.038 | 234.9017 | |
| 72 | Embodiment 1 | Y＝0.445X+4.209 | 0.996 | 0.002 | 240.0096 |
| Embodiment 2 | Y＝0.707X+6.055 | 0.921 | 0.182 | 386.9779 | |
| Embodiment 3 | Y＝0.455X+4.083 | 0.972 | 0.014 | 229.1651 | |
| 96 | Embodiment 1 | Y＝0.332X+3.334 | 0.973 | 0.013 | 196.2454 |
| Embodiment 2 | Y＝0.398X+3.794 | 0.958 | 0.021 | 254.4562 | |
| Embodiment 3 | Y＝0.683X+5.844 | 0.893 | 0.212 | 399.8966 | |
| 120 | Embodiment 1 | Y＝0.395X+3.845 | 0.973 | 0.104 | 210.0102 |
| Embodiment 2 | Y＝0.3 16X+3.148 | 0.879 | 0.063 | 229.4680 | |
| Embodiment 3 | Y＝0.336X+3.346 | 0.932 | 0.008 | 209.6150 | |
| 144 | Embodiment 1 | Y＝0.493X+4.455 | 0.915 | 0.043 | 328.0605 |
| Embodiment 2 | Y＝0.816X+6.792 | 0.855 | 0.248 | 447.9700 | |
| Embodiment 3 | Y＝0.457X+4.138 | 0.819 | 0.095 | 348.9393 | |
| 168 | Embodiment 1 | Y＝0.3892X+3.6706 | 0.816 | 0.097 | 289.761 |
| Embodiment 2 | Y＝0.6726X+5.7644 | 0.831 | 0.270 | 925.5457 | |
| Embodiment 3 | Y＝0.4046X+3.7679 | 0.796 | 0.108 | 310.6431 |
10. gibberella saubinetii
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.476X+4.298 | 0.864 | 0.070 | 342.5847 |
| Embodiment 2 | Y＝0.581X+5.091 | 0.865 | 0.239 | 370.0423 | |
| Embodiment 3 | Y＝0.406X+3.548 | 0.820 | 0.279 | 549.0126 | |
| 48 | Embodiment 1 | Y＝0.479X+4.224 | 0.726 | 0.148 | 420.3049 |
| Embodiment 2 | Y＝0.463X+4.116 | 0.733 | 0.144 | 405.6843 | |
| Embodiment 3 | Y＝0.509X+4.315 | 0.978 | 0.095 | 555.8076 | |
| 72 | Embodiment 1 | Y＝0.736X+6.211 | 0.826 | 0.274 | 426.6652 |
| Embodiment 2 | Y＝0.543X+4.888 | 0.936 | 0.163 | 309.3518 | |
| Embodiment 3 | Y＝0.501X+4.242 | 0.946 | 0.149 | 570.4632 | |
| 96 | Embodiment 1 | Y＝0.534X+4.811 | 0.910 | 0.194 | 311.8358 |
| Embodiment 2 | Y＝.5220X+4.726 | 0.921 | 0.182 | 304.8211 | |
| Embodiment 3 | Y＝0.494X+4.188 | 0.913 | 0.191 | 572.4489 | |
| 120 | Embodiment 1 | Y＝0.721X+5.905 | 0.753 | 0.331 | 555.0055 |
| Embodiment 2 | Y＝0.575X+4.880 | 0.805 | 0.103 | 491.8232 | |
| Embodiment 3 | Y＝0.515X+4.313 | 0.895 | 0.210 | 608.8836 |
11. apple decay
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.394X+4.136 | 0.999 | 0.016 | 98.2077 |
| Embodiment 2 | Y＝0.794X+7.225 | 0.918 | 0.185 | 209.7124 | |
| Embodiment 3 | Y＝0.422X+4.191 | 0.824 | 0.092 | 159.0256 | |
| 48 | Embodiment 1 | Y＝0.2 17X+2.658 | 0.993 | 0.004 | 47.9812 |
| Embodiment 2 | Y＝0.197X+2.434 | 0.941 | 0.030 | 54.5028 | |
| Embodiment 3 | Y＝0.422X+4.191 | 0.824 | 0.092 | 159.0256 | |
| 72 | Embodiment 1 | Y＝0.264X+2.833 | 0.923 | 0.002 | 145.2403 |
| Embodiment 2 | Y＝0.250X+2.779 | 0.945 | 0.001 | 109.8934 | |
| Embodiment 3 | Y＝0.297X+3.158 | 0.960 | 0.001 | 129.8027 | |
| 96 | Embodiment 1 | Y＝0.295X+3.087 | 0.933 | 0.002 | 155.4026 |
| Embodiment 2 | Y＝0.239X+2.610 | 0.911 | 0.003 | 146.5049 | |
| Embodiment 3 | Y＝0.266X+2.822 | 0.869 | 0.007 | 161.7719 | |
| 120 | Embodiment 1 | Y＝0.468X+4.325 | 0.921 | 0.040 | 282.1485 |
| Embodiment 2 | Y＝0.258X+2.627 | 0.808 | 0.015 | 262.7819 | |
| Embodiment 3 | Y＝0.380X+3.694 | 0.908 | 0.012 | 223.6869 |
12. anthrax
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48 | Embodiment 1 | Y＝0.344X+3.373 | 0.911 | 0.012 | 235.9846 |
| Embodiment 2 | Y＝0.490X+4.603 | 0.943 | 0.029 | 230.9130 | |
| Embodiment 3 | Y＝0.477X+4.550 | 0.953 | 0.139 | 205.3970 | |
| 72 | Embodiment 1 | Y＝0.438X+4.075 | 0.916 | 0.043 | 285.2626 |
| Embodiment 2 | Y＝0..450X+4.187 | 0.949 | 0.026 | 276.4907 | |
| Embodiment 3 | Y＝0.341X+3.161 | 0.971 | 0.002 | 408.2956 | |
| 96 | Embodiment 1 | Y＝0.445X+4.068 | 0.842 | 0.082 | 329.4857 |
| Embodiment 2 | Y＝0.640X+5.593 | 0.956 | 0.134 | 349.9177 | |
| Embodiment 3 | Y＝0.349X+3.173 | 0.933 | 0.007 | 471.7668 | |
| 120 | Embodiment 1 | Y＝0.614X+5.372 | 0.878 | 0.227 | 358.0444 |
| Embodiment 2 | Y＝0.3 10X+3.027 | 0.769 | 0.051 | 288.27 | |
| Embodiment 3 | Y＝0.306X+2.810 | 0.812 | 0.037 | 526.6262 | |
| 144 | Embodiment 1 | Y＝0.419X+3.860 | 0.794 | 0.109 | 329.1184 |
| Embodiment 2 | Y＝0.400X+3.727 | 0.852 | 0.077 | 313.5662 | |
| Embodiment 3 | Y＝0.369X+3.252 | 0.776 | 0.119 | 576.8118 | |
| 168 | Embodiment 1 | Y＝0.499X+4.589 | 0.965 | 0.120 | 276.199 |
| Embodiment 2 | Y＝0.455X+4.130 | 0.830 | 0.089 | 342.917 | |
| Embodiment 3 | Y＝0.284X+2.806 | 0.905 | 0.049 | 297.6125 |
13. pine needle foxiness
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.379X+3.883 | 0.837 | 0.085 | 132.8724 |
| Embodiment 2 | Y＝0.479X+4.697 | 0.901 | 0.051 | 156.5705 | |
| Embodiment 3 | Y＝0.625X+5.923 | 0.965 | 0.119 | 170.4958 | |
| 48 | Embodiment 1 | Y＝0.391X+4.019 | 0.900 | 0.052 | 123.4098 |
| Embodiment 2 | Y＝0.479X+4.697 | 0.901 | 0.051 | 156.5705 | |
| Embodiment 3 | Y＝0.441X+4.412 | 0.928 | 0.037 | 140.4375 | |
| 72 | Embodiment 1 | Y＝0.406X+4.118 | 0.888 | 0.057 | 134.8524 |
| Embodiment 2 | Y＝0.456X+4.513 | 0.913 | 0.044 | 150.667 | |
| Embodiment 3 | Y＝0.414X+4.157 | 0.864 | 0.071 | 145.7915 |
14. paddy rice rice blast
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.651X+6.129 | 0.963 | 0.123 | 175.7062 |
| Embodiment 2 | Y＝0.534X+4.915 | 0.887 | 0.017 | 256.6518 | |
| Embodiment 3 | Y＝0.408X+4.175 | 0.832 | 0.269 | 122.5057 | |
| 48 | Embodiment 1 | Y＝0.763X+6.958 | 0.872 | 0.233 | 210.9355 |
| Embodiment 2 | Y＝0.455X+4.399 | 0.752 | 0.133 | 189.8586 | |
| Embodiment 3 | Y＝0.480X+4.743 | 0.873 | 0.232 | 144.8831 | |
| 72 | Embodiment 1 | Y＝0.449X+4.539 | 0.963 | 0.124 | 123.9607 |
| Embodiment 2 | Y＝0.405X+4.062 | 0.815 | 0.097 | 151.4793 | |
| Embodiment 3 | Y＝0.473X+4.711 | 0.930 | 0.170 | 136.0146 | |
| 96 | Embodiment 1 | Y＝0.607X+5.757 | 0.915 | 0.188 | 173.2758 |
| Embodiment 2 | Y＝0.426X+4.177 | 0.950 | 0.025 | 178.4048 | |
| Embodiment 3 | Y＝0.344X+3.485 | 0.933 | 0.007 | 170.4062 | |
| 120 | Embodiment 1 | Y＝0.395X+4.002 | 0.847 | 0.080 | 141.1309 |
| Embodiment 2 | Y＝0.411X+4.017 | 0.979 | 0.010 | 192.1609 | |
| Embodiment 3 | Y＝0.416X+4.038 | 0.998 | 0.001 | 202.4925 | |
| 144 | Embodiment 1 | Y＝0.408X+4.124 | 0.887 | 0.058 | 138.8172 |
| Embodiment 2 | Y＝0.408X+3.983 | 0.965 | 0.018 | 196.1238 | |
| Embodiment 3 | Y＝0.438X+4.189 | 0.997 | 0.001 | 219.8919 | |
| 168 | Embodiment 1 | Y＝0.424X+4.274 | 0.931 | 0.035 | 136.2603 |
| Embodiment 2 | Y＝0.388X+3.837 | 0.940 | 0.006 | 184.0109 | |
| Embodiment 3 | Y＝0.449X+4.281 | 0.990 | 0.005 | 220.2086 | |
| 192 | Embodiment 1 | Y＝0.346X+3.542 | 0.979 | 0.001 | 151.9578 |
| Embodiment 2 | Y＝0.426X+4.137 | 0.927 | 0.037 | 195.9681 | |
| Embodiment 3 | Y＝0.455X+4.319 | 0.995 | 0.003 | 226.3549 |
15. cucumber sclerotium
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.6982X+6.8895 | 0.775 | 0.315 | 106.0723 |
| Embodiment 2 | Y＝0.8200X+7.9333 | 0.807 | 0.289 | 115.6433 | |
| Embodiment 3 | Y＝0.9865X+9.4624 | 0.968 | 0.114 | 113.348 | |
| 48 | Embodiment 1 | Y＝0.6875X+6.9088 | 0.981 | 0.089 | 89.4446 |
| Embodiment 2 | Y＝0.7470X+7.3294 | 0.836 | 0.266 | 107.0263 | |
| Embodiment 3 | Y＝0.6893X+6.8417 | 0.838 | 0.264 | 101.0189 | |
| 72 | Embodiment 1 | Y＝0.6896X+6.9325 | 0.986 | 0.077 | 88.91131 |
| Embodiment 2 | Y＝0.7135X+7.0647 | 0.876 | 0.229 | 100.9686 | |
| Embodiment 3 | Y＝0.7900X+7.6754 | 0.799 | 0.296 | 113.6048 | |
| 96 | Embodiment 1 | Y＝0.7213X+6.8812 | 0.807 | 0.289 | 143.8407 |
| Embodiment 2 | Y＝0.5769X+6.1143 | 0.777 | 0.313 | 59.36281 | |
| Embodiment 3 | Y＝0.72 13X+7.2296 | 0.999 | 0.023 | 88.73811 |
16. sickle-like bacteria
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48 | Embodiment 1 | Y＝-0.2076X-1.9314 | 0.950 | 0.025 | 91.1077 |
| Embodiment 2 | Y＝0.1237X+0.9959 | 0.923 | 0.002 | 18153.49 | |
| Embodiment 3 | Y＝0.6294X+5.9091 | 0.929 | 0.036 | 185.203 | |
| 72 | Embodiment 1 | Y＝0.3423X+3.4061 | 0.921 | 0.010 | 205.5295 |
| Embodiment 2 | Y＝0.2957X+2.9579 | 0.934 | 0.007 | 245.5179 | |
| Embodiment 3 | Y＝0.2540X+2.5471 | 0.914 | 0.011 | 316.101 |
17. barley is red mould
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48 | Embodiment 1 | Y＝0.1203X+1.4675 | 0.938 | 0.032 | 321.5383 |
| Embodiment 2 | Y＝0.4345X+3.6273 | 0.841 | 0.028 | 748.4783 | |
| Embodiment 3 | Y＝0.0481X+0.5551 | 0.977 | 0.012 | 480.895 | |
| 72 | Embodiment 1 | Y＝0.3920X+3.8073 | 0.968 | 0.000 | 216.7015 |
| Embodiment 2 | Y＝0.3135X+2.9388 | 0.973 | 0.014 | 418.319 | |
| Embodiment 3 | Y＝0.1649X+1.4821 | 0.971 | 0.015 | 259.09 |
18. rhizoctonia
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48 | Embodiment 1 | Y＝0.4517X+4.4259 | 0.918 | 0.010 | 168.0266 |
| Embodiment 2 | Y＝0.5457X+5.1410 | 0.087 | 0.087 | 202.5198 | |
| Embodiment 3 | Y＝0.5535X+5.2422 | 0.888 | 0.058 | 190.157 | |
| 72 | Embodiment 1 | Y＝0.4872X+4.5161 | 0.946 | 0.027 | 263.0342 |
| Embodiment 2 | Y＝0.3672X+3.5740 | 0.879 | 0.018 | 231.3776 | |
| Embodiment 3 | Y＝0.5269X+4.7758 | 0.911 | 0.046 | 299.0163 |
19. interlinkage spore
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.4843X+4.4328 | 0.953 | 0.024 | 297.3542 |
| Embodiment 2 | Y＝0.4363X+4.1564 | 0.998 | 0.001 | 229.3017 | |
| Embodiment 3 | Y＝0.4889X+4.3687 | 0.831 | 0.088 | 365.9294 | |
| 48h | Embodiment 1 | Y＝0.3678X+3.5011 | 0.766 | 0.125 | 285.9774 |
| Embodiment 2 | Y＝0.2817X+3.0049 | 0.987 | 0.001 | 137.4729 | |
| Embodiment 3 | Y＝0.5669X+5.0167 | 0.833 | 0.268 | 346.5906 | |
| 72h | Embodiment 1 | Y＝0.7596X+6.3741 | 0.817 | 0.281 | 438.0625 |
| Embodiment 2 | Y＝0.4975X+4.5660 | 0.984 | 0.008 | 282.2085 | |
| Embodiment 3 | Y＝0.5807X+4.9032 | 0.864 | 0.070 | 509.2494 | |
| 96h | Embodiment 1 | Y＝0.4029X+3.6939 | 0.683 | 0.174 | 360.7674 |
| Embodiment 2 | Y＝0.3568X+3.4897 | 0.892 | 0.055 | 229.5926 | |
| Embodiment 3 | Y＝0.4618X+4.0859 | 0.869 | 0.068 | 424.3085 | |
| 120h | Embodiment 1 | Y＝0.412 1X+3.4797 | 0.701 | 0.163 | 724.1395 |
| Embodiment 2 | Y＝0.2776X+2.8663 | 0.862 | 0.023 | 198.6164 | |
| Embodiment 3 | Y＝0.3607X+3.3301 | 0.835 | 0.030 | 391.2622 | |
| 144h | Embodiment 1 | Y＝0.4180X+3.8291 | 0.742 | 0.139 | 347.6362 |
| Embodiment 2 | Y＝0.2747X+2.8791 | 0.896 | 0.015 | 173.2594 | |
| Embodiment 3 | Y＝0.3404X+3.4447 | 0.835 | 0.030 | 175.0034 | |
| 168h | Embodiment 1 | Y＝0.2896X+3.0006 | 0.904 | 0.013 | 177.8325 |
| Embodiment 2 | Y＝0.5990X+5.0708 | 0.917 | 0.042 | 485.3123 | |
| Embodiment 3 | Y＝0.2801X+2.7331 | 0.622 | 0.113 | 344.8125 | |
| 192h | Embodiment 1 | Y＝0.2977X+3.0586 | 0.915 | 0.011 | 185.1104 |
| Embodiment 2 | Y＝0.4367X+3.9439 | 0.722 | 0.150 | 375.8983 | |
| Embodiment 3 | Y＝0.4585X+4.0391 | 0.883 | 0.060 | 444.3643 |
20. rape sclerotium
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 48 | Embodiment 1 | Y＝0.2558X+2.8928 | 0.925 | 0.009 | 86.60241 |
| Embodiment 2 | Y：0.4003X+3.9067 | 0.912 | 0.045 | 201.3699 | |
| Embodiment 3 | Y＝0.3366X+3.4761 | 0.883 | 0.018 | 144.5837 | |
| 72 | Embodiment 1 | Y＝0.4383X+4.0977 | 0.915 | 0.043 | 272.3821 |
| Embodiment 2 | Y＝0.4650X+4.1958 | 0.816 | 0.096 | 353.3834 | |
| Embodiment 3 | Y＝0.4871X+4.4383 | 0.919 | 0.041 | 308.0655 |
21. Botrytis cinerea
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.4965X+4.8051 | 0.886 | 0.059 | 171.5053 |
| Embodiment 2 | Y＝0.5628X+5.4589 | 0.951 | 0.025 | 149.0658 | |
| Embodiment 3 | Y＝0.6209X+5.7722 | 0.904 | 0.049 | 205.2622 | |
| 48 | Embodiment 1 | Y＝0.7194X+6.7712 | 0.963 | 0.018 | 163.7345 |
| Embodiment 2 | Y＝0.5799X+5.2227 | 0.953 | 0.004 | 290.4758 | |
| Embodiment 3 | Y＝0.7430X+6.3667 | 0.954 | 0.023 | 372.2435 | |
| 72 | Embodiment 1 | Y＝0.7295X+6.3779 | 0.971 | 0.015 | 316.7377 |
| Embodiment 2 | Y＝0.7455X+6.5324 | 0.962 | 0.019 | 306.0535 | |
| Embodiment 3 | Y＝0.7554X+6.5009 | 0.998 | 0.001 | 354.7834 | |
| 96 | Embodiment 1 | Y＝0.7985X+6.6144 | 0.926 | 0.038 | 472.5545 |
| Embodiment 2 | Y＝0.5949X+5.0889 | 0.895 | 0.015 | 446.6508 | |
| Embodiment 3 | Y＝0.5683X+4.8802 | 0.898 | 0.014 | 449.4217 | |
| 120 | Embodiment 1 | Y＝0.7266X+5.9970 | 0.817 | 0.096 | 518.0841 |
| Embodiment 2 | Y＝0.7323X+6.1 102 | 0.890 | 0.057 | 470.8044 | |
| Embodiment 3 | Y＝1.1156X+8.9720 | 0.920 | 0.183 | 503.4029 |
22. grape hemorrhagic black smallpox
| Time | Pesticidal preparations | Regression equation regression equation | The Rsp correlation coefficient | Sigf significance level | LC 50(mg/L) |
| 24h | Embodiment 1 | Y＝0.2552X+2.7015 | 0.839 | 0.029 | 179.279 |
| Embodiment 2 | Y＝0.3001X+2.9555 | 0.763 | 0.053 | 279.5659 | |
| Embodiment 3 | Y＝0.6940X+6.0990 | 0.957 | 0.022 | 313.4962 | |
| 48h | Embodiment 1 | Y＝0.2573X+2.8076 | 0.953 | 0.004 | 127.3566 |
| Embodiment 2 | Y＝0.3063X+3.0776 | 0.754 | 0.131 | 221.4577 | |
| Embodiment 3 | Y＝0.3553X+3.4950 | 0.922 | 0.040 | 218.3315 | |
| 72h | Embodiment 1 | Y＝0.565 1X+5.0582 | 0.986 | 0.007 | 313.9795 |
| Embodiment 2 | Y＝0.4973X+4.4697 | 0.896 | 0.053 | 341.383 | |
| Embodiment 3 | Y＝0.3946X+3.7117 | 0.916 | 0.011 | 291.8915 | |
| 96h | Embodiment 1 | Y：0.4680X+4.3101 | 0.951 | 0.025 | 291.276 |
| Embodiment 2 | Y＝0.4437X+4.1718 | 0.935 | 0.033 | 254.7033 | |
| Embodiment 3 | Y＝0.4795X+4.4118 | 0.967 | 0.017 | 286.4114 |
One, control cucumber downy mildew field control effectiveness test
1. material and method
1.1 reagent agent
Embodiment 1, embodiment 2, embodiment 3 (providing) by Zhejiang Forestry Institute
1.2 trial crops and controlling object
Trial crops cucumber, kind are local white Beijing opera melon; Controlling object is a cucumber downy mildew.
1.3 experimental scheme and method
1.3.1 field design
Test is carried out in the cucumber booth, and 4 processing are established in test altogether, are respectively: 500 times and the clear water blank of embodiment 1, embodiment 2, embodiment 3, repeat sub-district area 10m 3 times
2, district's group randomized arrangement is not established guard row all around, encloses the film protection during dispenser.
1.3.2 overview experimental field
The test previous crops is a winter booth celery, and soil property is a sandy loam, pH value 7.4, and the content of organic matter 3.05%, fertility is higher, the whole about 150m of canopy area
2, sowing on November 14th, 2007,14-15 day field planting in January, the cucumber seedling growing way is tested and was not used any bactericide in preceding 30 days than balance.
1.3.3 spraying time and method
Test on the May 4th, 2005 of medication for the first time, be the prosperous fruit phase cucumber breeding time this moment, and cucumber downy mildew extremely sporadicly takes place, because morbidity is few at that time, so several sick leaves of the preceding excision of dispenser; Because the fine dry disease that is unfavorable for of weather takes place, spraying time extends to 8 days at interval for the second time, promptly May 12.Dispenser adopts workers and peasants-16 type manual sprayer carefully to spray, for the first time with the every 667m of dispenser for the second time
2Be 100 kilograms with amount of liquid medicine.
1.3.4 investigation content and method
Test behind second time medicine 8 days (because the fine dry disease that is unfavorable for of weather takes place, investigation in 8 days is because of anosis cancellation behind medicine of former design) every sub-district random sampling 2 points, every continuous 4 strains of investigation, totally 8 strains, the whole blades of every strain are investigated in classification, calculate disease index and preventive effect, and carry out the new multipole of Deng Kenshi poor (DMRT) significance analysis, grade scale and computational methods are carried out according to the GB/T17980.26-2000 regulation.
Also in the influence situation of each investigation day range estimation dispenser to cucumber growth, life is investigated to safety in test.
2. result of the test
2.1 control efficiency to cucumber downy mildew
As can be seen from Table 1, embodiment 1, embodiment 2, embodiment 3 500 times, 8 days average preventive effects to cucumber downy mildew are respectively 55.3%, 67.6% behind the secondary medicine, 46.7%, through (DMRT) significance analysis, 500 of embodiment 1 shows outstanding 500 times of being better than embodiment 3, indifference significance between all the other chemicals treatment.
2.2 safety is given birth to: each chemicals treatment of range estimation all has no effect to cucumber behind the medicine.
3 result of the tests show: under this experimental condition, the bactericide embodiment 1 that Zhejiang Forestry Institute provides significantly is better than 500 times of embodiment 3 to the average preventive effect of cucumber downy mildew under the situation of 500 times of working concentrations; The 500 times of preventive effects of embodiment 2 and embodiment 3 500 times quite.Therefore, see that from this test the bactericidal activity of 1 pair of cucumber downy mildew of bactericide embodiment that Zhejiang Forestry Institute provides will be higher than embodiment 3, on producing, have certain application value.
The sick suddenly test of pesticide effectiveness result of the different network ammonia of table 1 copper agent control cucumber frost (unit: doubly, sheet, %)
| Handle title | Repeat | Investigate total leaf | Classification | Disease refers to | Preventive effect | ||||
| 1 | 3 | 5 | 7 | 9 | |||||
| Embodiment 1 500 | 1 | 200 | 7 | 17 | 6 | 2 | 0 | 5.7 | 77.2 |
| 2 | 128 | 4 | 16 | 12 | 1 | 0 | 10.3 | 57.8 | |
| 3 | 202 | 7 | 6 | 18 | 2 | 0 | 7.1 | 67.8 | |
| On average | 7.7 | 67.6 | |||||||
| LSR | aA | ||||||||
| Embodiment 2 500 | 1 | 240 | 5 | 13 | 28 | 12 | 4 | 14.1 | 43.3 |
| 2 | 154 | 9 | 18 | 21 | 2 | 0 | 13.1 | 46.3 | |
| 3 | 171 | 5 | 14 | 20 | 3 | 0 | 10.9 | 50.5 | |
| On average | 12.7 | 46.7 | |||||||
| LSR | bA | ||||||||
| Embodiment 3 500 | 1 | 172 | 14 | 13 | 15 | 2 | 0 | 9.2 | 63.1 |
| 2 | 160 | 8 | 11 | 17 | 2 | 0 | 9.7 | 60.3 | |
| 3 | 120 | 5 | 15 | 16 | 1 | 0 | 12.7 | 42.5 | |
| On average | 10.5 | 55.3 | |||||||
| LSR | ab A | ||||||||
| CK | 1 | 200 | 4 | 12 | 24 | 14 | 21 | 24.8 | 0.0 |
| 2 | 148 | 4 | 5 | 10 | 11 | 20 | 24.5 | 0.0 | |
| 3 | 135 | 2 | 6 | 18 | 11 | 9 | 22.1 | 0.0 | |
| On average | 23.8 | 0.0 | |||||||
| LSR | cB | ||||||||
Annotate: data are carried out LSR again through the arcsine conversion and are analyzed
Two, control rice green smut field control effectiveness test
1. material and method
1.1 reagent agent
Embodiment 1, embodiment 2, embodiment 3 (providing) by Zhejiang Forestry Institute
1.2 contrast medicament
20% triazolone EC (Jiangsu Province Nanjing HongTaiYang Co., Ltd production, commercially available)
1.3 trial crops and controlling object
Trial crops hybrid rice, kind are " two excellent trainings nine "; Controlling object is a rice green smut.
1.4 experimental scheme and method
1.4.1 field design
Test is carried out in single cropping hybridization rice field, and 6 processing are established in test altogether, are respectively: 500 times of embodiment 1-3, there are not 500 times of network ammonia copper of gasification liquid, and contrast medicament 20% triazolone EC1000 doubly reaches the clear water blank, repeats sub-district area 30m 3 times
2, district's group randomized arrangement is established guard row all around.
1.4.2 overview experimental field
The test previous crops is a winter rape, and soil property is a sandy loam, pH value 6.5, the content of organic matter 2.9%, middle fertility, the whole about 700m of field area
2, sowing on May 25th, 2007,20-21 day in June transplants, and paddy rice seedling growing way is not used any bactericide than balance before the test.
1.4.3 spraying time and method
Test in medication on August 21 in 2007 once, growth period duration of rice this moment is booting stage, beginning August 25 fringe.Dispenser adopts workers and peasants-16 type manual sprayer carefully to spray per 667 m
2Be 50 kilograms with amount of liquid medicine.
1.4.4 investigation content and method
Test paddy rice investigation in 5 days October stage of yellow ripeness behind medicine, because this year, the false smut morbidity was lighter, middle 250 clumps of every sub-district is got in this test, and investigation morbidity grain number calculates preventive effect, and carries out the new multipole of Deng Kenshi poor (DMRT) significance analysis.
Test also in the influence situation of each investigation day range estimation dispenser to paddy growth, is investigated safety.
The table 2 control rice green smut test of pesticide effectiveness is table (unit: times ,/250 clumps, %) as a result
| Handle title | Repeat | Investigation is from number | The infected seed number | Preventive effect |
| Execute 1 500 times of examples | 1 | 250 | 19 | 66.7 |
| 2 | 250 | 8 | 79.5 | |
| 3 | 250 | 5 | 88.1 | |
| On average | 78.1 | |||
| LSR | a A | |||
| Execute 2 500 times of examples | 1 | 250 | 25 | 56.1 |
| 2 | 250 | 11 | 71.8 | |
| 3 | 250 | 17 | 59.5 | |
| On average | 62.5 | |||
| LSR | bcBC | |||
| Execute 3 500 times of examples | 1 | 250 | 17 | 70.2 |
| 2 | 250 | 10 | 74.4 | |
| 3 | 250 | 14 | 66.7 | |
| On average | 70.4 | |||
| LSR | abAB | |||
| (the network ammonia copper that does not have gasification liquid) 500 times | 1 | 250 | 27 | 52.6 |
| 2 | 250 | 16 | 59.0 | |
| 3 | 250 | 18 | 57.1 | |
| On average | 56.2 | |||
| LSR | c BC | |||
| 20% triazolone EC1000 | 1 | 250 | 31 | 45.6 |
| 2 | 250 | 16 | 59.0 | |
| 3 | 250 | 21 | 50.0 | |
| On average | 51.5 | |||
| LSR | c C | |||
| CK | 1 | 250 | 57 | 0.0 |
| 2 | 250 | 39 | 0.0 | |
| 3 | 250 | 42 | 0.0 | |
| On average | 0.0 | |||
| LSR | d D |
Annotate: significance is changed post analysis through arcsine
2. result of the test
2.1 control efficiency to rice green smut
As can be seen from Table 2, embodiment 1-3 and do not have 500 times of the network ammonia copper of gasification liquid, average preventive effect to rice green smut is respectively 78.1%, 62.5%, 70.4%, 56.2%, contrast medicament contrast medicament 20% triazolone EC1000 times preventive effect is 51.5%, through (DMRT) significance analysis, embodiment 1 significantly is better than all processing except that embodiment 3, embodiment 3 significantly is better than embodiment 2,20% triazolone EC1000 doubly and do not have chemicals treatment such as network ammonia copper of gasification liquid, indifference significance between all the other chemicals treatment.
2.2 safety: each chemicals treatment of range estimation all has no effect to paddy rice behind the medicine.
3. brief summary
3.1 result of the test shows: under this experimental condition, the bactericide embodiment 1-3 that Zhejiang Forestry Institute provides, to rice safety, under the situation of 500 times of working concentrations, the average preventive effect of rice green smut all significantly is better than the registered bactericide 20% triazolone EC1000 that uses on the current market doubly.Therefore, see that from this test bactericide that Zhejiang Forestry Institute provides executes routine 1-3 rice green smut is had the better prevention effect, have application value preferably on producing, general use working concentration is 500.
3.2 result of the test shows simultaneously: under this experimental condition, the bactericide that Zhejiang Forestry Institute provides is executed routine 1-3 under the identical situation of working concentration, though the average preventive effect absolute value of rice green smut is executed example 1 to be better than and to execute example 3, but between there is no the significance of difference, it is more relevant that this may gently send out random error with false smut in this year, and suggestion is further tested.
By a large amount of agricultural diseases being carried out the screening active ingredients test, comprise lab screening and outdoor field control effectiveness test as can be seen gasifying biomass liquid be not that all agricultural diseases are all had active function, just at wherein seldom a part of disease is effective, and in effective germ, owing to the different different active size differences that show with crop of disease species are very big, disclosed 25 kinds of diseases all are to find to prevent and treat resultful agriculture germ with this disinfectant use in agriculture through a large amount of screening tests in the present patent application file, and undocumented all is the germ that control does not have effect.
Claims (7)
1. the production method of a network ammonia copper disinfectant use in agriculture is characterized in that comprising following processing step:
1) add gasifying biomass liquid in reactor, the weight ratio in copper sulphate and gasifying biomass liquid is 1 then: the ratio of 1-16 adds copper sulphate, stirring and dissolving;
2) add excessive ammonia in the above-mentioned mixed liquor, stir down to complete reaction, in gasifying biomass liquid and the ammoniacal liquor and back generates organic acid ammonia, and excessive ammonia and copper sulphate complexing generate network ammonia copper;
3) add zinc sulphate, manganese sulphate and magnesium sulfate in the above-mentioned reactant mixture, three kinds of sulphate equivalent add, and adding up to addition is the 1-10% of reactant mixture gross weight, gets product after fully stirring, mixing;
Described gasifying biomass liquid is Bamboo vinegar solution, pyroligneous liquor or careless vinegar liquid.
2. the production method of a kind of network ammonia copper disinfectant use in agriculture as claimed in claim 1 is characterized in that described copper sulphate substitutes with the cupric sulfate pentahydrate of equivalent.
3. the production method of a kind of network ammonia copper disinfectant use in agriculture as claimed in claim 1 is characterized in that described ammoniacal liquor substitutes with the ammonium hydrogencarbonate aqueous solution of equivalent; Or feed the ammonia of equivalent behind the thin up.
4. the production method of a kind of network ammonia copper disinfectant use in agriculture as claimed in claim 1, it is characterized in that adding in the final reacting mixture agricultural chemicals wetting agent of 1-10%, described agricultural chemicals wetting agent is one or more mixtures in OP-10, JFC and the farming breast 602.
5. the production method of a kind of network ammonia copper disinfectant use in agriculture as claimed in claim 1, the weight ratio that it is characterized in that described copper sulphate and gasifying biomass liquid is 1: 2-15; Be preferably 1: 4-14; More preferably 1: 5-12.
6. the production method of a kind of network ammonia copper disinfectant use in agriculture as claimed in claim 1 is characterized in that described equivalent zinc sulphate, manganese sulphate and magnesium sulfate addition are the 1-8% of reactant mixture gross weight; Be preferably 2-6% 3-5% more preferably.
7. the network ammonia copper disinfectant use in agriculture that makes according to any one method of claim 1-6 is being prevented and treated early blight of tomato (Alternaria Solani), pear scab (pear scab, venturia nashicola), rice sheath blight disease rice sheath blight (Rhizoctonia solani K ü hn), corn southern leaf blight (Bipolaris maydis, Cochliobolus heterostrophus), the corn northern leaf blight (Exsero turcicum, Trichometasphaeriaturcical), cotton wilt (Fsarium oxysporum f.sp.vasinfectum (Atk.) Synder andHanen), cucumber fusarium axysporum (Cucumber Fusarium Wilt), graw mold of tomato (tomato gray mold), cucumber anthracnose (Cucumber anthracnose), wheat scab (Wheat Breeding), apple canker (Valsa mali Miyabe et Yamada), anthracnose (Anthracnose), rice blast (rice blast), Brown Spot of Pine Needles (Brown spot needle blight fungus), powdery mildew of cucumber (Cucumber powderymildew), barley head blight (Fusarium Head Blight in Barley), sclerotinia rot of colza (rapesclertiniose), Alternaria (Alternaria sp.), rhizoctonia (Rhizoctonia solani Kuhn), stem rot of cucumber (Cucumber Sclerotinia rot), anthracnose of grape (Elsinoe ampelina (De B.) Shear.), Botrytis cinerea (Botrytis cinerea), sickle-like bacteria (Fusarium), application in rice green smut (Rice FalseSmut) or cucumber downy mildew (the cucumber downy mildew) pesticidal preparations.
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| CN113439759A (en) * | 2021-08-04 | 2021-09-28 | 李安民 | Copper citrate and bacillus polymyxa root sterilization composition and preparation method thereof |
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