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ARS Home » Southeast Area » Canal Point, Florida » Sugarcane Field Station » Research » Publications at this Location » Publication #352331
Title: Developing diagnostic genetic markers for orange rust resistance selection in sugarcane (Saccharum spp.)

Author
item YANG, XIPING - University Of Florida
item Islam, Md
item Sood, Sushma
item MAYA, STEPHANIE - University Of Florida
item HANSON, ERIK - University Of Florida
item Comstock, Jack
item WANG, JIANPING - University Of Florida

Submitted to: American Society of Sugar Cane Technologists
Publication Type: Abstract Only
Publication Acceptance Date: 4/30/2018
Publication Date: 6/1/2018
Citation: Yang, X., Islam, M.S., Sood, S.G., Maya, S., Hanson, E., Comstock, J.C., Wang, J. 2018. Developing diagnostic genetic markers for orange rust resistance selection in sugarcane (Saccharum spp.). American Society of Sugar Cane Technologists. 38, pg. 50.

Interpretive Summary: N/A

Technical Abstract: Sugarcane orange rust is one of the major diseases impacting sugarcane production in Florida and many other sugarcane growing areas in the world. Identifying quantitative trait loci (QTLs) in sugarcane genome and developing diagnostic genetic markers for resistance selection are valuable for breeding programs to expedite sugarcane genetic resources for disease control. In this study, an F1 segregating population derived from a cross between two hybrid sugarcane clones, CP95-1039 and CP88-1762, was evaluated for orange rust resistance in replicated trials. Three QTLs controlling orange rust resistance in sugarcane (qORR109, qORR4 and qORR102) were identified for the first time ever, which can explain 58%, 12% and 8% of the disease phenotypic variation, separately. Based on sugarcane putative R genes and simple sequence repeats in the genomic QTL intervals, we developed a diagnostic PCR-based Resistance gene-derived maker, G1, which showed significant association with orange rust resistance. The marker developed in this study can be effectively utilized in sugarcane breeding programs to facilitate the selection process of resistant materials, thus will contribute to the sustainable agriculture for orange rust disease control.