Institute of Forest

http://www.forinst.basnet.by/  
246050, Gomel, Proletarian, St. 71

Innovative express methods for early diagnosis and identification of diseases of forest woody plants

COUNTRY OF ORIGIN

IDENTIFIER

BO3998

PUBLISHED

2021-06-26

LAST UPDATE

2021-06-27

DEADLINE

Linked profile in other language
Responsible
Andrei Navoichik
+375 44 713 1496
navoichikandrei@mail.ru
Summary
The Forest Institute offers services for the application of innovative express methods for early diagnosis and identification of diseases of forest woody plants under an outsourcing agreement.
Description
The methods allow for early diagnosis and high-precision identification of causative agents of diseases of forest woody plants, for phytopathological monitoring of forest plantations and nurseries, to optimize sanitary-preventive measures and to improve the forest protection strategy.
Stage of development
Already on the market
Comments regarding stage of development
Express methods have been introduced into the system of the Ministry of Forestry of the Republic of Belarus for molecular phytopathological monitoring.
Funding source
State budged
Internal
IPR status
Exclusive rights
Secret know-how
Sector group
Environment

Organization information

Type
R&D institution
Year established
1930
NACE keywords
A.02.10 - Silviculture and other forestry activities
A.02.40 - Support services to forestry
M.72.11 - Research and experimental development on biotechnology
M.72.19 - Other research and experimental development on natural sciences and engineering
M.74.90 - Other professional, scientific and technical activities n.e.c.
Turnover (in EUR)
10-20M
Already engaged in transnational cooperation
Yes
Additional comments
Participation in projects of interstate and international programs.
Languages spoken
English
Russian

Information about partnership

Type of partnership considered
Outsourcing agreement
Type and role of partner sought
Consumers interested in services for the application of innovative express methods for early diagnosis and identification of diseases of forest woody plants under an outsourcing agreement.
Type and size of partner sought
> 500 MNE
> 500
251-500
SME 51-250
SME 11-50
SME <= 10
R&D Institution

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