Location: Sugarcane Field StationTitle: QTL Identification of sugar and yield related traits in Saccharum spp. hybrid
|YANG, XIPING - University Of Florida|
|COMSTOCK, JACK - Retired ARS Employee|
|ZAN, FENGGANG - Yunnan Sugarcane Research Institute|
|WANG, JIANPING - University Of Florida|
Submitted to: American Society of Sugar Cane Technologists
Publication Type: Abstract Only
Publication Acceptance Date: 6/22/2019
Publication Date: 12/20/2019
Citation: Islam, M.S., Yang, X., Sood, S.G., Comstock, J.C., Zan, F., Wang, J. 2019. QTL Identification of sugar and yield related traits in Saccharum spp. hybrid. American Society of Sugar Cane Technologists. 39:33.
Interpretive Summary: N/A
Technical Abstract: Sugarcane is one of the economically important crops in the tropical and sub-tropical regions worldwide. New cultivars with improved sugar content and other agronomic traits are essential for the sugar industries. Molecular markers associated with sugar yield can greatly facilitate the development of sugarcane cultivars for higher sugar production. In this study, we identified quantitative trait loci (QTL) associated with sugar and yield related traits using a segregating F1 population derived from two Saccharum Spp. hybrids. Phenotypic data of BRIX, POL, recoverable sugar content (SC), fiber content (FC), moisture content (MC), juice purity, stalk diameter (SD), and stalk weight (SW) were collected from plant cane and ratoon in a replicated field trial. A high-density genetic map with markers, developed by genotyping-by-sequencing, and phenotyping data were used for QTL detection. Using the plant cane phenotype data, 45 QTL were detected, 36 for sugar and nine for yield related traits. Among the 45 QTL, seven QTL were associated with each of the three sugar related traits BRIX, POL, and SC; six QTL with FC and MC; three QTL with juice purity; four QTL with SD; and five QTL with SW. The detected QTL explained the phenotypic variations of 70.90, 61.80, 61.68, 68.67, 91.62, 33.00, 49.91, and 64.49 % for BRIX, POL, SC, FC, MC, purity, SD, and SW, respectively. Markers associated with the detected QTL could be used in marker-assisted selection upon validation.