Yasir and Abdalla
Greener Journal of Agricultural Sciences Vol. 3 (7), pp. 550-556, July 2013.
Manuscript Number: 061013654
Introgression of Striga Resistance Genes into a Sudanese Sorghum Cultivar, Tabat, Using Marker Assisted Selection (MAS)
Yasir Ahmed Gamar* and Abdalla Hassan Mohamed
Sorghum Breeding and Genetics Research Program, Agricultural Research Corporation, ARC, Wad-Medani, Sudan, P. O. Box 126.
*Corresponding Author’s Email: email@example.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 Striga
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 Striga 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 Striga field resistance, confirming the effectiveness of marker assisted selection (MAS). Significant differences were observed among the progeny tested in the level of Striga resistance and other agronomical traits.
Keywords: Quantitative Trait Loci (QTLs), Striga, Sorghum, Marker Assisted Selection (MAS), Sudan.
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