QTL mapping of bio-energy related traits in Sorghum |
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| Authors: | Yan-an Guan Hai-lian Wang Ling Qin Hua-wen Zhang Yan-bing Yang Feng-ju Gao Ru-yu Li and Hong-gang Wang |
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| Institution: | (1) College of Agronomy, Shandong Agricultural University, Taian, 271018, China;(2) Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China;(3) Dezhou Academy of Agricultural Sciences, Dezhou, 253000, China; |
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| Abstract: | Plant height (PHT), stem and leaf fresh weight (SLFW), juice weight (JW) and sugar content of stem (Brix) are important traits
for biofuel production in sweet Sorghum. QTL analysis of PHT, SLFW, JW and Brix was conducted with composite interval mapping using F2 and F2:3 populations derived from the cross between grain Sorghum (Shihong137) × sweet Sorghum (L-Tian). Three QTLs controlling PHT were mapped on SBI-01, SBI-07 and SBI-09 under four different environments. These QTLs
could explain 10.16 to 45.29% of the phenotypic variance. Two major effect QTLs on SBI-07 and SBI-09 were consistently detected
under four environments. Eight QTLs controlling SLFW were mapped across three environments and accounted for 5.49–25.36% of
the phenotypic variance. One major QTL on SBI-09 located between marker Sb5-206 and SbAGE03 was observed under three environments.
Four QTLs controlling Brix were identified under two environments and accounted for 11.03–17.65% of the phenotypic variance.
Six QTLs controlling JW were detected under two environments, and explained 6.63–23.56% of the phenotypic variance. QTLs for
JW on SBI-07 and SBI-09 were consistent in two environments showing higher environmental stability. In addition, two chromosome
regions on SBI-07 and SBI-09 were identified in our study having major effect on PHT, SFLW and JW. The results would be useful
for the genetic improvement of sweet Sorghum to be used for biofuel production. |
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