Integrated Striga management in Sorghum through resistance breeding and biocontrol in the semi-arid regions of Tanzania.
Year: 2017
Type: dissertation
Abstract: The last objective of this study was to determine the gene action controlling maximum germination distance (MGD) among sorghum families, with and without FOS, in an agar-gel assay.In this study additive, dominance and epistatic genetic action contributed significantly to the total genetic variation.The relative contribution of the additive, additive-by-additive and dominance-by-dominance genetic effect for MGD, with FOS, contributed to 20%, 33% and 36% in treatments involving Sh, respectively.In a set with Sa, the relative contribution of additive, additive-by-additive and dominance-by-dominance genetic effect were 21%, 32% and 35% with FOS treatment, respectively.The influence of dominance and the interaction of additive-by-dominance genetic effects were minimal.A mean MGD of 10 mm was reduced by FOS application in both Sh and Sa.In a pot experiment to evaluate the efficacy of FOS among sorghum families using roots and soil samples, FOS was abundantly detected on sorghum root and soil samples with variable colony forming unit (CFU) among the tested sorghum genotypes.Overall, these study determined constraints affecting sorghum production, farmers' preference quality traits, and their perceptions on Striga management.It also identified the, gene actions controlling Striga resistance and inheritance.This is important for the implementation of ISM for the improvement of sorghum productivity.It also identified a number of useful parents and crosses for effective sorghum breeding to control Striga in the semi-arid areas of Tanzania.Cultivar development targeting reduced MGD, reduced Striga counts and famers' traits of preferences in the selected populations, combined with compatibility with FOS could provide the basis available for integrated Striga management programme.v Declaration
Author: Emmanuel Mrema
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W2999816269