A method for generating virus-free cassava plants to combat viral disease epidemics in Africa.
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

A method for generating virus-free cassava plants to combat viral disease epidemics in Africa.

Maruthi, M N;Whitfield, E Charles;Otti, Gerald;Tumwegamire, Silver;Kanju, Edward;Legg, James P;Mkamilo, Geoffrey;Kawuki, Robert;Benesi, Ibrahim;Zacarias, Anabela;Munga, Therezia;Mwatuni, Francis;Mbugua, Edward;
physiological and molecular plant pathology 2019 Vol. 105 pp. 77-87
207
maruthi2019aphysiological

Abstract

Here, we report a method to clean cassava plants from viral infections that cause cassava mosaic and brown streak diseases in Africa. Infected plants of resistant or tolerant varieties from Malawi, Mozambique, Kenya, Tanzania and Uganda were cleaned in the UK using a combination of tissue culture, chemotherapy and thermotherapy. In the first cycle of our virus-indexing procedure, we successfully cleaned 27 of the 31 varieties (87%), and after an additional three cleaning cycles, all plants were virus-free. Virus-free tissue-cultured plants were shipped back to Africa for distribution to farmers. This first cross-boundary effort provides important lessons for mitigating the two-major cassava viral diseases.

Keywords

cassava mosaic disease acmv, african cassava mosaic virus cbsd, cassava brown streak disease cbsv, cassava brown streak virus cmd, cassava mosaic disease ctab, cetyl trimethylammonium bromide cassava brown streak disease eacmv, east african cassava mosaic virus eacmv-ug, east african cassava mosaic virus-uganda lfc, laminar flow cabinet ms, murashige and skoog manihot esculenta ppm, plant preservation mixture rh, relative humidity sdw, sterilised deionised water ucbsv, ugandan cassava brown streak virus uic, unique identifying code virus diagnosis virus indexing

Access

DOI:
10.1016/j.pmpp.2018.09.002

Citation

ID: 50979
Ref Key: maruthi2019aphysiological
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
50979
Unique Identifier:
10.1016/j.pmpp.2018.09.002
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store