Screening of Tobacco Genotypes for Tolerance/Resistance to Striga gesnerioides infestation in Zimbabwe
Received Date: Feb 06, 2018 / Accepted Date: Feb 13, 2018 / Published Date: Feb 19, 2018
Abstract
Witch weed (Striga gesnerioides) is a root parasitic weed of tobacco and cowpea in Sub- Saharan Africa. It is very difficult to control and host plant resistance is the most promising effective method affordable to small-scale farmers. This study was done to screen local tobacco genotypes for tolerance and resistance to Striga gesnerioides infection. Laboratory screening experiments were conducted during the 2016/17 season using fifteen local tobacco genotypes. The experiments were done using an Agar gel technique at the University of Zimbabwe, with treatments replicated four times in a Randomised Complete Block Design (RCBD). All tobacco genotypes significantly (p<0.05) stimulated the germination percentage and there were significant differences (p<0.05) in the germination distance of Striga seeds. The tobacco genotypes K RK66 and T74 had the closest Striga germination distance and the lowest germination percentages of Striga seeds, indicating their ability to produce low germination stimulants (strigolactones). This study revealed that all the tobacco genotypes were susceptible to Striga infection except the genotypes K RK66 and T74 which showed some level of tolerance and could be adopted by farmers in Striga infested areas. Additional evaluations, targeting the parental lines of the tolerant cultivars and is recommended as further studies.
Keywords: Striga gesnerioides; Tobacco; Strigolactones
Citation: Koga C, Mabasa S, Mazarura U, Banwa T, Garwe D (2018) Screening of Tobacco Genotypes for Tolerance/Resistance to Striga gesnerioides infestation in Zimbabwe . Adv Crop Sci Tech 6: 340. Doi: 10.4172/2329-8863.1000340
Copyright: © 2018 Koga C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 4702
- [From(publication date): 0-2018 - Jan 31, 2025]
- Breakdown by view type
- HTML page views: 3981
- PDF downloads: 721