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Basis for the identification of bacteria

Basis for the identification of bacteria, Total:60 items.

The international standard classification for "Basis for the identification of bacteria" includes: Farming and forestry in general , Farming and forestry .

The Chinese standard classification for "Basis for the identification of bacteria" includes: Plant quarantine, pest control .


国家食品药品监督管理局

General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China

  • GB/T 29396-2012 Detection and identification of Burkholderia glumae(Kurita&Tabei)Urakami et al.
  • GB/T 28094-2011 Detection and identification of Xanthomonas campestris pv.mangiferaeindicae(Patel et al.) Robbs et al.
  • GB/T 28096-2011 Detection and identification of Xanthomonas axonopodis pv.manihotis(Bondar)Vauterin et al.
  • GB/T 28078-2011 Detection and identification of Xanthomonas oryzae pv.oryzae(Ishiyama) Swings et al.、Xanthomonas oryzae pv.oryzicola(Fang et al.) Swings et al.
  • GB/T 28099-2011 Detection and identification of Xanthomonas oryzae pv.oryzicola(Fang et al.) Swings et al.
  • GB/T 28100-2011 Detection and identification of Burkholderia caryophylli(Burkholder) Yabuuchi et al.

国家市场监督管理总局、中国国家标准化管理委员会

  • GB/T 40626-2021 Detection and identification of Xanthomonas populi ( ex Ridé 1958 ) Ridé &Ridé 1992
  • GB/T 36853-2018 Detection and identification of Pseudomonas syringae pv.lachrymans
  • GB/T 36851-2018 Detection and identification of Xanthomonas vesicatoria
  • GB/T 36808-2018 Detection and identification of Xanthomonas cassavae(ex Wiehe et Dowson)Vauterin et al.
  • GB/T 36807-2018 Detection and identification of Enterobacter cancerogenus(Urosevi)Dickey et Zumoff
  • GB/T 40135-2021 Detection and identification of Xylophilus ampelinus (Panagopoulos) Willems et al.
  • GB/T 36844-2018 Detection and identification of Pseudomonas syringae pv.maculicola (McCulloch) Young et al.

Professional Standard - Commodity Inspection

  • SN/T 2596-2010 Detection and identification of Pseudomonas syringae pv.tomato(Okabe) Young et al.1978
  • SN/T 2568-2010 Detection and identification of Clavibacter michiganensis subsp.michganensis(Smith)Jenen
  • SN/T 3424-2012 Detection and identification of Pseudomonas syringae pv.lachrymans
  • SN/T 1465-2004 Methods of quarantine and identification of Acidovorax avenae subsp. citrulli
  • SN/T 1390-2004 Methods for quarantine and identification of Ralstonia solanacearum (Smith ) Yabuuchi et al race 2
  • SN/T 3681-2013 Detection and identification of Acidovorax konjaci (Goto, 1983) Willems,et al.1992
  • SN/T 3756-2013 Methods for quarantine and identification of erwinia stewartii-PCR method
  • SN/T 2666-2010 Identification of Saperda spp.insidiosus(McCulloch) Davis
  • SN/T 1375-2004 Methods for quarantine and identification of
  • SN/T 1813-2006 Identification of the soft rot Erwinias on Phalaenopsis sp.

Professional Standard - Agriculture

  • NY/T 2287-2012 Detection and identification for Xanthomonas oryzae pv.oryzicola(Fang et al.)Swings et al.
  • 131药典 四部-2020 1021 Bacterial DNA signature sequence identification method

中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会

  • GB/T 33019-2016 Detection and identification of Pseudomonas syringae pv. persicae

Shandong Provincial Standard of the People's Republic of China

  • DB37/T 3987-2020 Quarantine and identification method of orchid bacterial brown rot

国家质量监督检验检疫总局

  • SN/T 4732-2016 Detection and identification of Xanthomonas campestris pv, musacearum

Sichuan Provincial Standard of the People's Republic of China

  • DB51/T 2272-2016 Quarantine and identification method of kiwifruit bacterial canker

Guangdong Provincial Standard of the People's Republic of China

  • DB44/T 1651-2015 Detection and Identification Methods of Banana Bacterial Soft Rot

Chongqing Provincial Standard of the People's Republic of China

  • DB50/T 1606-2024 Technical specification for identification of bacterial pathogens of aquatic animals

Group Standards of the People's Republic of China

  • T/GXAS 237-2021 Technical code of practice for evaluation of tomato for resistance to bacterial spot

Jiangsu Provincial Standard of the People's Republic of China

  • DB32/T 3488-2018 Identification method of rice varieties (lines) resistant to bacterial stripe disease

Anhui Provincial Standard of the People's Republic of China

  • DB34/T 3098-2018 Technical Regulations for Identification of Rice Bacterial Spot Disease Resistance

Liaoning Provincial Standard of the People's Republic of China

  • DB21/T 3949-2024 Technical regulations for identification of disease resistance to bacterial spot disease in peppers

Jiangxi Provincial Standard of the People's Republic of China

  • DB36/T 879-2015 Technical specification for identification of sesame varieties resistant to bacterial wilt

Hunan Provincial Standard of the People's Republic of China

  • DB43/T 1374-2017 Identification and Evaluation Method of Rice Varieties Resistance to Bacterial Leaf Spot

未注明发布机构

  • DIN EN 17477 E:2020-02 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrithulomycetes - Detection and identification with morphological and/or molecular methods

Shanxi Provincial Standard of the People's Republic of China

  • DB14/T 1367-2017 Technical specification for field identification of common bean resistance to common bacterial blight

RU-GOST R

  • GOST 27318-1987 Agricultural animals. Methods of identification of non-typical microbacteria
  • GOST ISO 27205-2013 Fermented milk products. Bacterial starter cultures. Standard of identity

GOST

  • GOST R 50396.7-1992 Poultry meat, edible offal, ready-to-cook products. Methods for detection of Proteus bacteria

ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc.

SCC

  • AWWA WQTC69432 Identification of Heterotrophic Bacteria that Colonize Pilot- and Full-Scale Chloraminated Distribution Systems
  • AWWA WQTC52749 Antimicrobial Resistance and Bacterial Identification Utilizing a Microelectronic Chip Array
  • AWWA WQTC69420 Isolation and Characterization of a Heterotrophic Nitrifying Bacterium from a Reactor That Simulates Premise Plumbing
  • AWWA ACE90122 Use of an In Vivo Model for Identifying Bacterial Opportunistic Pathogens Isolated from Drinking Water

IN-BIS

  • IS 5887 Pt.1-1976 Methods for detection of food poisoning bacteria Part 1 Isolation, identification and enumeration of Escherichia coli
  • IS 5887 Pt.3-1976 Methods for the detection of bacteria responsible for food poisoning Part III Isolation and identification of Salmonella and Shigella
  • IS 5887 Pt.5-1976 Methods for detection of food poisoning bacteria Part Ⅴ Isolation, identification and enumeration of Vibrio cholerae and Vibrio parahaemolyticus

GSO

  • GSO ISO 27205:2012 Fermented milk products - Bacterial starter cultures- Standard of identity

BR-ABNT

Lithuanian Standards Office

  • LST EN 17477-2021 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrinthulomycetes - Detection and identification with morphological and/or molecular methods

Association Francaise de Normalisation

  • NF X85-008*NF EN 17477:2021 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrithulomycetes - Detection and identification with morphological and/or molecular meth

CH-SNV

  • SN EN 17477-2021 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrinthulomycetes - Detection and identification with morphological and/or molecular methods

European Committee for Standardization (CEN)

  • EN 17477:2021 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrinthulomycetes - Detection and identification with morphological and/or molecular methods

AENOR

  • UNE 112013:1994 BIOLOGICAL CORROSION. ISOLATION AND IDENTIFICATION OF IRON BACTERIA IN WATER AND WATER-FORMED DEPOSITS.

Danish Standards Foundation

  • DS/EN 17477:2021 Algae and algae products – Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrinthulomycetes – Detection and identification with morphological and/or molecular methods

ES-UNE

  • UNE-EN 17477:2022 Algae and algae products - Identification of the biomass of microalgae, macroalgae, cyanobacteria and Labyrinthulomycetes - Detection and identification with morphological and/or molecular methods