Yasir And Abdalla


Yasir and Abdalla

Journal of  Agricultural Sciences

Vol. 3 (7), pp.

, July 2013.

 ISSN: 2276-7770 



Manuscript Number: 061013654


Introgression of


Resistance Genes into a Sudanese Sorghum Cultivar, Tabat,
Using Marker Assisted Selection


Yasir Ahmed Gamar* and Abdalla Hassan Mohamed


Sorghum Breeding and Genetics Research Program,
Agricultural Research Corporation, ARC, Wad-Medani,
Sudan, P. O. Box 126.


Author’s Email:

gamarotta@ yahoo. com



Resistant crop cultivars provide the most economical,
practical and sustainable method of
Striga control.
However, the development of resistant sorghum cultivars
slowed by the complexity of the environment and the
host/parasite interactions, which made field resistance
erratic and unreliable. Recent adventure of molecular
markers to tag gene(s) that confer important traits offers
new hope for
Striga control. Significant progress has
been made to identify molecular markers linked to
resistance in sorghum variety, N13. Five genomic regions (QTLs)
associated with Striga resistance were identified. Flanking
simple sequence repeats (SSRs) markers to each QTL were also
identified and made available.

 The aim of this study was to transfer
resistance from, N13 to an elite farmer preferred sorghum
cultivar, Tabat. Generations of F1, BC1F1, BC1S1 and BC2F1
populations were developed. F1 and BC1F1 generations were
first genotyped and progenies with two or more QTLs were
backcrossed to generate BC1F1 and BC2F1, respectively. BC2F1
were further genotyped and progenies with two different QTLs
were intercrossed for foreground selection. BC2F1 progenies
were selfed to generate BC2S1, BC2S2 population. 19
progenies, BC1S1, with
Striga resistance QTLs were
tested in
Striga artificial infested plots. Progenies
with the two or more QTLs showed high levels of
field resistance, confirming the effectiveness of marker
assisted selection (MAS). Significant differences were
observed among the progeny tested in the level of
resistance and other agronomical traits.

Keywords: Quantitative Trait Loci (QTLs), Striga,
Sorghum, Marker Assisted Selection (MAS), Sudan.

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