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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Publications at this Location » Publication #129020
Title: QTL EXAMINATION ON A RFLP JOINMAP FROM FOUR INTRASPECIFIC COTTON POPULATIONS

Author
item Ulloa, Mauricio
item Meredith Jr, William

Submitted to: Plant Genome Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 1/12/2002
Publication Date: 1/12/2002
Citation: ULLOA, M., MEREDITH JR, W.R. QTL EXAMINATION ON A RFLP JOINMAP FROM FOUR INTRASPECIFIC COTTON POPULATIONS. PLANT GENOME CONFERENCE PROCEEDINGS. 2002. p. 247.

Interpretive Summary:

Technical Abstract: Quantitative trait loci (QTLs) for agronomic, fiber, and physiological traits were examined on a previously reconstructed joinmap with 39 linkage groups which included 315 loci covering 1293.4 cM from 569 progeny from four intraspecific cotton (Gossypium hirsutum L.) populations with different genetic backgrounds (Acala, Delta, and Texas Plain). Quantitative edata were collected from bulk-sampled plots of an F2.3 generation from eac population. We placed 188 QTLs from the four populations on 21 linkage groups of the joinmap. Eight linkage groups carried QTLs at the same locus or within the vicinity of the linkage group from at least two of the four different populations. Approximately 60% of putative QTLs for fiber traits were placed on two major linkage groups with 44 and 55 QTS covering 172.8 cM with 66 RFLP loci and 130.5 cM with 93 RFLP loci, respectively. This agrees with previous studies, which indicated that recombination may occur in blocks and fiber trait variability in G. Hirsutum may occur predominately on certain chromosomes. In addition, some yield components and physiological traits were found to be located on these chromosomes. QTL examination on the joinmap for agronomic, fiber, and physiological traits reveals highly recombined and gene abundant regions. Research is ongoing for the identification of RFLP loci lineage for G. hirsutum from its diploid progenitors (the A and D genomes). Increased marker density in the joinmap would facilitate both genetic and physical mapping for the cotton genome.